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Byeong Kang

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Byeong Kang

Professor
Information & Communication Technology
HIT Lab Leader

Room 352 , Centenary Building

+61 3 6226 2919 (phone)

Byeong.Kang@utas.edu.au


Dr Byeong Ho Kang, computer scientist, is a Professor in School of Technology, Environments and Design, University of Tasmania, Australia. He leads the Smart Services and Systems research group of postdoctoral scientists which has carried out fundamental and applied research in research areas, expert systems, Web Services, SNS analysis and smart industry areas. He has served as a chair and steering committee member in many international organizations and during conferences.

Biography

Dr Kang received his PhD from the University of New South Wales, Sydney, in 1996, and has worked as a visiting researcher in the Advanced Research Lab HITACHI situated in Japan.  He has also taken part in major research and development projects with industries and research organizations including the Smart Internet Collaborative Research Centre, the US Air Force, Hyundai Steel and many others.

His research interests include basic knowledge acquisition methods and applied research in internet systems as well as medical expert systems.  He has been involved in the development of several commercial and internet based applications including AI products, expert system development tools, intelligent help desk systems, Web based information monitoring and classification systems and many more. In addition, he has played a role in the foundation of several spinning companies.

Career summary

Qualifications

Degree Thesis titleUniversityCountry Date of award
PhD Validating Knowledge Acquisition University of New South Wales Australia 1996
Grad. Dip   University of Tasmania Australia 1990

Languages (other than English)


Korean

Teaching

Internet Programming, Expert Systems, Embedded Systems

Teaching expertise


Dr Kang is involved in Master of Information Technology and Systems and Bachelor of Information and Communication Technology Courses.

Teaching responsibility

View more on Professor Byeong Kang in WARP

Research Themes


Dr Byeong Ho Kang, computer scientist, is a Professor in School of Technology, Environments and Design, University of Tasmania, Australia. He leads the Smart Services and Systems research group of postdoctoral scientists which has carried out fundamental and applied research in research areas, expert systems, Web Services, SNS analysis and smart industry areas. He has served as a chair and steering committee member in many international organizations and during conferences.

Collaboration

Dr Kang is currently involved in five international projects funded by Korean governments, industry and US Air Force.

Fields of Research

  • Knowledge representation and reasoning (460206)
  • Information retrieval and web search (460508)
  • Artificial intelligence (460299)
  • Health informatics and information systems (420308)
  • Pattern recognition (460308)
  • Neural networks (461104)
  • Information systems (460999)
  • Natural language processing (460208)
  • Intelligent robotics (460205)
  • Image processing (460306)
  • Distributed systems and algorithms (460605)
  • Artificial life and complex adaptive systems (460201)
  • Distributed computing and systems software (460699)
  • Cybersecurity and privacy (460499)
  • Software engineering (461299)
  • Mobile computing (460608)
  • Information security management (460904)
  • Service oriented computing (460612)
  • Software testing, verification and validation (461208)
  • Computer vision (460304)
  • Other information and computing sciences (469999)
  • Human information interaction and retrieval (461003)
  • Decision support and group support systems (460902)
  • Data engineering and data science (460501)
  • Cyberphysical systems and internet of things (460603)
  • Software architecture (461206)
  • Oenology and viticulture (300805)
  • Information systems philosophy, research methods and theory (460909)
  • Modelling and simulation (460207)
  • Networking and communications (460609)
  • Data structures and algorithms (461305)
  • Respiratory diseases (320103)
  • Field robotics (400706)
  • Virtual and mixed reality (460708)
  • Agriculture, land and farm management (300299)
  • Clinical pharmacy and pharmacy practice (321403)
  • Social and community informatics (461010)
  • Horticultural crop protection (incl. pests, diseases and weeds) (300804)
  • Pervasive computing (460809)
  • Cloud computing (460601)
  • Information modelling, management and ontologies (460903)
  • Animal developmental and reproductive biology (310903)
  • Science, technology and engineering curriculum and pedagogy (390113)
  • Agro-ecosystem function and prediction (300402)
  • Data management and data science (460599)
  • Medical biotechnology (320699)
  • Library and information studies (461099)
  • Applications in health (460102)
  • Other mathematical sciences (499999)
  • System and network security (460407)
  • Computer vision and multimedia computation (460399)
  • Clinical pharmacology and therapeutics (321402)
  • Animal management (300302)
  • Photogrammetry and remote sensing (401304)
  • Microelectronics (400908)
  • Land capability and soil productivity (410601)
  • Urban analysis and development (330410)
  • Autonomous agents and multiagent systems (460202)
  • Wireless communication systems and technologies (incl. microwave and millimetrewave) (400608)
  • Other education (399999)
  • Separation science (340109)
  • Human-computer interaction (460806)
  • Continuing and community education (390301)
  • Residential client care (420320)
  • Data communications (400602)
  • Aboriginal and Torres Strait Islander information and knowledge management systems (450606)
  • Educational technology and computing (390405)
  • Context learning (461102)
  • Deep learning (461103)
  • Organisational planning and management (350711)
  • Computational complexity and computability (461302)
  • Genetics (310599)
  • Information visualisation (460807)
  • Soil sciences (410699)
  • Logistics (350903)
  • Recommender systems (460510)
  • Physical geography and environmental geoscience (370999)
  • Programming languages (461204)
  • LOTE, ESL and TESOL curriculum and pedagogy (390108)
  • Aquaculture (300501)
  • Soil physics (410605)
  • Animal reproduction and breeding (300305)
  • Early childhood education (390302)
  • Cognition (520401)
  • Satisfiability and optimisation (460210)
  • Data mining and knowledge discovery (460502)
  • Microbial ecology (310703)
  • Electronics, sensors and digital hardware (400999)
  • Food nutritional balance (300603)
  • Inter-organisational, extra-organisational and global information systems (460911)
  • Education systems (390399)
  • Communications engineering (400699)
  • Software and application security (460406)

Research Objectives

  • Information systems, technologies and services (220499)
  • Information services (220399)
  • Expanding knowledge in the information and computing sciences (280115)
  • Other information and communication services (229999)
  • Application software packages (220401)
  • Artificial intelligence (220403)
  • Electronic information storage and retrieval services (220302)
  • Computer systems (220404)
  • Wine grapes (260608)
  • Communication technologies, systems and services (220199)
  • Voice and data equipment (240410)
  • Clinical health (200199)
  • Expanding knowledge in the environmental sciences (280111)
  • Defence (140199)
  • Evaluation of health outcomes (200202)
  • Intelligence, surveillance and space (140105)
  • Teaching and instruction technologies (160304)
  • Health related to ageing (200502)
  • Other health (209999)
  • Other education and training (169999)
  • Management, resources and leadership (160204)
  • Environmentally sustainable information and communication services (220299)
  • Mobile technologies and communications (220103)
  • Hardwood plantations (260201)
  • Soils (180605)
  • Human-computer interaction (220407)
  • Softwood plantations (260205)
  • Pigs (100410)
  • Satellite technologies, networks and services (220106)
  • Air (140101)
  • Diagnosis of human diseases and conditions (200101)
  • Teaching and curriculum (160399)
  • Network systems and services (220105)
  • Wireless technologies, networks and services (220107)
  • Expanding knowledge in the mathematical sciences (280118)
  • Land (140106)
  • Management of water consumption by information and communication services (220202)
  • Higher education (160102)
  • Sheep for wool (100413)
  • Computer, electronic and communication equipment (240499)
  • Energy services and utilities (170303)
  • Management of water consumption by plant production (260104)
  • Ageing and older people (230102)
  • Applied computing (220402)
  • Assessment, development and evaluation of curriculum (160301)
  • Horticultural crops (260599)
  • Road infrastructure and networks (270308)
  • Workplace safety (230506)
  • Behaviour and health (200401)
  • Allied health therapies (excl. mental health services) (200301)
  • Urban planning (120406)
  • Animation, video games and computer generated imagery services (220501)
  • Terrestrial systems and management (180699)
  • Health status (incl. wellbeing) (200407)
  • News collection services (220305)
  • National security (140109)
  • Emerging defence technologies (140104)
  • Disability and functional capacity (200403)
  • Aquaculture oysters (100204)
  • Injury prevention and control (200408)
  • Library and archival services (220303)
  • Evaluation of health and support services (200299)
  • Native forests (260204)
  • Learner and learning (160199)
  • Other transport (279999)
  • Information systems (220408)
  • Technological and organisational innovation (150306)
  • Pedagogy (160302)
  • Pome fruit, pip fruit (260511)
  • Other environmental management (189999)
  • Cybersecurity (220405)
  • Road safety (270311)

Publications

Dr Kang has published more than 200 papers in journals and international conferences, and was an editor for several books of proceedings and has been a guest editor for special issues in journals.

Total publications

255

Highlighted publications

(5 outputs)
YearTypeCitationAltmetrics
2004Conference PublicationKim YS, Park S, Deards EA, Kang BH, 'Adaptive Web Document Classification with MCRDR', Proceedings International Conference on Information Technology, April 5-7, 2004, Las Vegas, Nevada, pp. 476-480. ISBN 0-7695-2108-8 (2004) [Refereed Conference Paper]

[eCite] [Details]

Co-authors: Kim YS; Park S; Deards EA

2004Conference PublicationKim YS, Park S, Kang BH, Choi YJ, 'Incremental Knowledge Management of Web Community Groups on Web Portals', Proceedings 5th International Conference, PAKM 2004, 2-3 December, 2004, Vienna, Austria, pp. 198-207. ISBN 3540305459 (2004) [Refereed Conference Paper]

[eCite] [Details]

Co-authors: Kim YS; Park S; Choi YJ

2003Conference PublicationDazeley RP, Kang BH, 'Weighted MCRDR: Deriving Information about Relationships between Classifications in MCRDR', AI 2003: Advances in Artificial Intelligence, December, 2003, Perth WA, pp. 245-255. ISBN 3-540-20646-9 (2003) [Refereed Conference Paper]

[eCite] [Details]

Co-authors: Dazeley RP

2003Conference PublicationKim YS, Park S, Kang BH, 'Using Multiple Classification Ripple Down Rules for Intelligent Tutoring System's Knowledge Acquisition', AI 2003: Advances in Artificial Intelligence, December 3-5, 2003, Perth. WA, pp. 511-519. ISBN 3-540-20646-9 (2003) [Refereed Conference Paper]

[eCite] [Details]

Co-authors: Kim YS; Park S

2003Conference PublicationPark S, Kim YS, Kang BH, 'Web Information Management System: Personalization and Generalization', Proceedings of the IADIS International Conference WWW/Internet 2003, 5-8 November 2003, Algarve, Portugal, pp. 523-530. ISBN 972-98947-1-X (2003) [Refereed Conference Paper]

[eCite] [Details]

Co-authors: Park S; Kim YS

Journal Article

(83 outputs)
YearCitationAltmetrics
2022Hameed K, Barika M, Garg S, Amin MB, Kang B, 'A taxonomy study on securing Blockchain-based Industrial applications: an overview, application perspectives, requirements, attacks, countermeasures, and open issues', Journal of Industrial Information Integration, 26 Article 100312. ISSN 2452-414X (2022) [Refereed Article]

DOI: 10.1016/j.jii.2021.100312 [eCite] [Details]

Citations: Scopus - 2Web of Science - 2

Co-authors: Hameed K; Garg S; Amin MB

Tweet

2022Hameed K, Garg S, Amin MB, Kang B, 'Towards a formal modelling, analysis and verification of a clone node attack detection scheme in the internet of things', Computer Networks, 204 Article 108702. ISSN 1389-1286 (2022) [Refereed Article]

DOI: 10.1016/j.comnet.2021.108702 [eCite] [Details]

Citations: Scopus - 1

Co-authors: Hameed K; Garg S; Amin MB

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2022Hameed K, Garg S, Amin MB, Kang B, Khan A, 'A context-aware information-based clone node attack detection scheme in Internet of Things', Journal of Network and Computer Applications, 197 Article 103271. ISSN 1084-8045 (2022) [Refereed Article]

DOI: 10.1016/j.jnca.2021.103271 [eCite] [Details]

Citations: Scopus - 6Web of Science - 2

Co-authors: Hameed K; Garg S; Amin MB

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2021Hameed K, Garg S, Amin MB, Kang B, 'A formally verified blockchain-based decentralised authentication scheme for the internet of things', Journal of Supercomputing pp. 1-41. ISSN 0920-8542 (2021) [Refereed Article]

DOI: 10.1007/s11227-021-03841-1 [eCite] [Details]

Citations: Scopus - 5Web of Science - 6

Co-authors: Hameed K; Garg S; Amin MB

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2021Lohachab A, Garg S, Kang B, Amin MB, Lee J, et al., 'Towards interconnected blockchains: a comprehensive review of the role of interoperability among disparate blockchains', ACM Computing Survey, 54, (7) Article 135. ISSN 0360-0300 (2021) [Refereed Article]

DOI: 10.1145/3460287 [eCite] [Details]

Citations: Scopus - 6Web of Science - 2

Co-authors: Lohachab A; Garg S; Amin MB; Lee J

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2021Lohachab A, Garg SK, Kang BH, Amin MB, 'Performance evaluation of Hyperledger Fabric-enabled framework for pervasive peer-to-peer energy trading in smart Cyber-Physical Systems', Future Generation Computer Systems, 118 pp. 392-416. ISSN 0167-739X (2021) [Refereed Article]

DOI: 10.1016/j.future.2021.01.023 [eCite] [Details]

Citations: Scopus - 13Web of Science - 10

Co-authors: Lohachab A; Garg SK; Amin MB

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2021Maiti A, Raza A, Kang BH, 'Teaching embedded systems and Internet-of-Things supported by multipurpose multiobjective remote laboratories', IEEE Transactions on Learning Technologies, 14, (4) pp. 526-539. ISSN 1939-1382 (2021) [Refereed Article]

DOI: 10.1109/TLT.2021.3104258 [eCite] [Details]

Citations: Scopus - 2Web of Science - 1

Co-authors: Maiti A; Raza A

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2021Patwary MAK, Garg S, Battula SK, Kang BH, 'SDP: Scalable Real-time Dynamic Graph Partitioner', IEEE Transactions on Services Computing ISSN 1939-1374 (2021) [Refereed Article]

DOI: 10.1109/TSC.2021.3137932 [eCite] [Details]

Co-authors: Patwary MAK; Garg S

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2021Raza A, Hardy L, Roehrer E, Yeom S, Kang BH, 'GPSPiChain-Blockchain and AI based self-contained anomaly detection family security system in smart home', Journal of Systems Science and Systems Engineering pp. 1-17. ISSN 1861-9576 (2021) [Refereed Article]

DOI: 10.1007/s11518-021-5496-2 [eCite] [Details]

Citations: Scopus - 1

Co-authors: Raza A; Hardy L; Roehrer E; Yeom S

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2021Wei Y, Xu S, Kang B, Hoque S, 'Generating training images with different angles by GAN for improving grocery product image recognition', Neurocomputing, 488, (1) pp. 694-705. ISSN 0925-2312 (2021) [Refereed Article]

DOI: 10.1016/j.neucom.2021.11.080 [eCite] [Details]

Citations: Scopus - 1

Co-authors: Wei Y; Xu S; Hoque S

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2021Yang W, Garg SK, Huang Z, Kang B, 'A decision model for blockchain applicability into knowledge-based conversation system', Knowledge-Based Systems, 220 Article 106791. ISSN 0950-7051 (2021) [Refereed Article]

DOI: 10.1016/j.knosys.2021.106791 [eCite] [Details]

Citations: Scopus - 12Web of Science - 9

Co-authors: Yang W; Garg SK; Huang Z

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2020Ali T, Hussain J, Amin MB, Hussain M, Akhtar U, et al., 'The Intelligent Medical Platform: A novel dialogue-based platform for health-care services', Computer, 53, (2) pp. 35-45. ISSN 0018-9162 (2020) [Refereed Article]

DOI: 10.1109/MC.2019.2924393 [eCite] [Details]

Citations: Scopus - 9Web of Science - 8

Co-authors: Amin MB

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2020Battula S, Garg S, Montgomery J, Kang B, 'An efficient resource monitoring service for fog computing environments', IEEE Transactions on Services Computing, 13, (4) pp. 709-722. ISSN 1939-1374 (2020) [Refereed Article]

DOI: 10.1109/TSC.2019.2962682 [eCite] [Details]

Citations: Scopus - 19Web of Science - 17

Co-authors: Battula S; Garg S; Montgomery J

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2020Lee S-H, Kim Y-J, Kang BH, Yun YS, Park C-K, 'The relationship between acrosome reaction and polyunsaturated fatty acid composition in boar sperm', Reproduction in Domestic Animals, 55, (5) pp. 624-631. ISSN 0936-6768 (2020) [Refereed Article]

DOI: 10.1111/rda.13661 [eCite] [Details]

Citations: Scopus - 6Web of Science - 7

Co-authors: Lee S-H

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2020Wei Y, Tran S, Xu S, Kang B, Springer M, 'Deep learning for retail product recognition: challenges and techniques', Computational Intelligence and Neuroscience, 2020 Article ID 8875910. ISSN 1687-5265 (2020) [Refereed Article]

DOI: 10.1155/2020/8875910 [eCite] [Details]

Citations: Scopus - 16Web of Science - 13

Co-authors: Wei Y; Tran S; Xu S; Springer M

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2019Ali M, Hussain J, Lee S, Kang BH, Sattar K, 'A knowledge construction methodology to automate case-based learning using clinical documents', Expert Systems, 37, (1) Article e12401. ISSN 0266-4720 (2019) [Refereed Article]

DOI: 10.1111/exsy.12401 [eCite] [Details]

Citations: Scopus - 1Web of Science - 1

Co-authors: Ali M

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2019Lee S-H, Kim Y-J, Kang BH, Park C-K, 'Effect of nicotinic acid on the plasma membrane function and polyunsaturated fatty acids composition during cryopreservation in boar sperm', Reproduction in Domestic Animals, 54, (9) pp. 1251-1257. ISSN 0936-6768 (2019) [Refereed Article]

DOI: 10.1111/rda.13508 [eCite] [Details]

Citations: Scopus - 6Web of Science - 6

Co-authors: Lee S-H

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2019Liu Z, Xiao F, Lin C-T, Kang BH, Cao Z, 'A generalized golden rule representative value for multiple-criteria decision analysis', IEEE Transactions on Systems, Man, and Cybernetics: Systems pp. 1-12. ISSN 2168-2216 (2019) [Refereed Article]

DOI: 10.1109/TSMC.2019.2919243 [eCite] [Details]

Citations: Scopus - 10Web of Science - 11

Co-authors: Cao Z

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2019Maiti A, Raza A, Kang BH, Hardy L, 'Estimating service quality in industrial internet-of-things monitoring applications with blockchain', IEEE Access, 7 pp. 155489-155503. ISSN 2169-3536 (2019) [Refereed Article]

DOI: 10.1109/ACCESS.2019.2948269 [eCite] [Details]

Citations: Scopus - 13Web of Science - 10

Co-authors: Maiti A; Raza A; Hardy L

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2019Yang W, Aghasian E, Garg K, Herbert D, Disiuta L, et al., 'A survey on blockchain-based internet service architecture: requirements, challenges, trends and future', IEEE Access, 7 pp. 75845-75872. ISSN 2169-3536 (2019) [Refereed Article]

DOI: 10.1109/ACCESS.2019.2917562 [eCite] [Details]

Citations: Scopus - 65Web of Science - 44

Co-authors: Yang W; Aghasian E; Garg K; Herbert D

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2019Yang W, Fan S, Xu S, King P, Kang B, et al., 'Autonomous underwater vehicle navigation using sonar image matching based on convolutional neural network', IFAC PapersOnLine, 52, (21) pp. 156-162. ISSN 2405-8963 (2019) [Refereed Article]

DOI: 10.1016/j.ifacol.2019.12.300 [eCite] [Details]

Citations: Scopus - 15Web of Science - 11

Co-authors: Yang W; Xu S; King P; Kim E

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2019Yang W, Herbert D, Kim S, Kang B, 'MCRDR knowledge-based 3D dialogue simulation in clinical training and assessment', Journal of Medical Systems, 43 Article 200. ISSN 0148-5598 (2019) [Refereed Article]

DOI: 10.1007/s10916-019-1262-0 [eCite] [Details]

Citations: Scopus - 2Web of Science - 1

Co-authors: Yang W; Herbert D; Kim S

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2019Yang W, Yuan N, Chinthammit W, Kang B, 'A distributed case- and project-based learning to design 3D lab on electronic engineering education', Computer Applications in Engineering Education, 27, (2) pp. 430-451. ISSN 1061-3773 (2019) [Refereed Article]

DOI: 10.1002/cae.22087 [eCite] [Details]

Citations: Scopus - 12Web of Science - 9

Co-authors: Yang W; Yuan N; Chinthammit W

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2019Yim J, Ganesan S, Kang BH, 'Location-Based Mobile Marketing Innovations 2018', Volume 2019 Article 2164708. ISSN 1574-017X (2019) [Edited Journal]

DOI: 10.1155/2019/2164708 [eCite] [Details]

Citations: Scopus - 2Web of Science - 1

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2018Afzal M, Ali SI, Ali R, Hussain M, Ali T, et al., 'Personalization of wellness recommendations using contextual interpretation', Expert Systems With Applications, 96 pp. 506-521. ISSN 0957-4174 (2018) [Refereed Article]

DOI: 10.1016/j.eswa.2017.11.006 [eCite] [Details]

Citations: Scopus - 22Web of Science - 18

Co-authors: Amin MB

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2018Ali M, Ali R, Khan WA, Han SC, Bang J, et al., 'A data-driven knowledge acquisition system: an end-to-end knowledge engineering process for generating production rules', IEEE Access, 6 pp. 15587-15607. ISSN 2169-3536 (2018) [Refereed Article]

DOI: 10.1109/ACCESS.2018.2817022 [eCite] [Details]

Citations: Scopus - 18

Co-authors: Ali M

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2018Ali M, Ali SI, Kim D, Hur T, Bang J, et al., 'uEFS: An efficient and comprehensive ensemble-based feature selection methodology to select informative features', PLOS One, 13, (8) Article e0202705. ISSN 1932-6203 (2018) [Refereed Article]

DOI: 10.1371/journal.pone.0202705 [eCite] [Details]

Citations: Scopus - 11Web of Science - 10

Co-authors: Ali M

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2018Ali M, Han SC, Bilal HSM, Lee S, Kang MJY, et al., 'iCBLS: an interactive cased-based learning system for medical education', International Journal of Medical Informatics, 109 pp. 55-69. ISSN 1386-5056 (2018) [Refereed Article]

DOI: 10.1016/j.ijmedinf.2017.11.004 [eCite] [Details]

Citations: Scopus - 41Web of Science - 33

Co-authors: Ali M; Bilal HSM

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2018Ali T, Hussain M, Afzal M, Khan WA, Hur T, et al., 'Clinically harmonized wellness concepts model for health and wellness services', IEEE Access, 6 pp. 26660-26674. ISSN 2169-3536 (2018) [Refereed Article]

DOI: 10.1109/ACCESS.2018.2834391 [eCite] [Details]

Citations: Scopus - 3Web of Science - 3

Co-authors: Amin MB

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2018Herbert D, Kang BH, 'Intelligent conversation system using multiple classification ripple down rules and conversational context', Expert Systems With Applications, 112 pp. 342-352. ISSN 0957-4174 (2018) [Refereed Article]

DOI: 10.1016/j.eswa.2018.06.049 [eCite] [Details]

Citations: Scopus - 21Web of Science - 12

Co-authors: Herbert D

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2018Hussain M, Afzal M, Ali T, Ali R, Khan WA, et al., 'Data-driven knowledge acquisition, validation, and transformationinto HL7 Arden Syntax', Artificial Intelligence in Medicine, 92 pp. 51-70. ISSN 0933-3657 (2018) [Refereed Article]

DOI: 10.1016/j.artmed.2015.09.008 [eCite] [Details]

Citations: Scopus - 14Web of Science - 13

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2018Huynh-The T, Hua C-H, Anh Tu N, Hur T, Bang J, et al., 'Selective bit embedding scheme for robust blind color image watermarking', Information Sciences, 426 pp. 1-18. ISSN 0020-0255 (2018) [Refereed Article]

DOI: 10.1016/j.ins.2017.10.016 [eCite] [Details]

Citations: Scopus - 58Web of Science - 50

Co-authors: Amin MB

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2018Huynh-The T, Hua C-H, Tu NA, Hur T, Bang J, et al., 'Hierarchical topic modeling with Pose-transition feature for action recognition using 3D skeleton data', Information Sciences, 444 pp. 20-35. ISSN 0020-0255 (2018) [Professional, Refereed Article]

DOI: 10.1016/j.ins.2018.02.042 [eCite] [Details]

Citations: Scopus - 31Web of Science - 28

Co-authors: Amin MB

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2018Kim D, Han SC, Lin Y, Kang BH, Lee S, 'RDR-based knowledge based system to the failure detection in industrial cyber physical systems', Knowledge-Based Systems, 150 pp. 1-13. ISSN 0950-7051 (2018) [Refereed Article]

DOI: 10.1016/j.knosys.2018.02.009 [eCite] [Details]

Citations: Scopus - 17Web of Science - 14

Co-authors: Lin Y

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2018Kim D, Lin Y, Lee S, Kang BH, Han SC, 'A hybrid failure diagnosis and prediction using natural language-based process map and rule-based expert system', International Journal of Computer, Communications and Control, 13, (2) pp. 175-191. ISSN 1841-9836 (2018) [Refereed Article]

DOI: 10.15837/ijccc.2018.2.3189 [eCite] [Details]

Citations: Scopus - 2Web of Science - 2

Co-authors: Lin Y

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2017Ali M, Bilal HSM, Razzaq MA, Khan J, Lee S, et al., 'IoTFLiP: IoT-based flipped learning platform for medical education', Digital Communications and Networks, 3, (3) pp. 188-194. ISSN 2352-8648 (2017) [Refereed Article]

DOI: 10.1016/j.dcan.2017.03.002 [eCite] [Details]

Citations: Scopus - 42Web of Science - 26

Co-authors: Ali M; Han SC

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2017Ali T, Hussain M, Khan WA, Afzal M, Hussain J, et al., 'Multi-model-based interactive authoring environment for creating shareable medical knowledge', Computer Methods and Programs in Biomedicine, 150 pp. 41-72. ISSN 0169-2607 (2017) [Refereed Article]

DOI: 10.1016/j.cmpb.2017.07.010 [eCite] [Details]

Citations: Scopus - 13Web of Science - 12

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2017Bai Q, Kang BH, 'Preface', 9992 pp. V-VI. ISSN 0302-9743 (2017) [Edited Journal]

DOI: 10.1007/978-3-319-50127-7 [eCite] [Details]

Co-authors: Bai Q

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2017Evans KJ, Terhorst A, Kang BH, 'From data to decisions: helping crop producers build their actionable knowledge', Critical Reviews in Plant Sciences, 36, (2) pp. 71-88. ISSN 0735-2689 (2017) [Refereed Article]

DOI: 10.1080/07352689.2017.1336047 [eCite] [Details]

Citations: Scopus - 30Web of Science - 26

Co-authors: Evans KJ

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2017Huynh-The T, Banos O, Lee S, Kang BH, Kim ES, et al., 'NIC: a robust background extraction algorithm for foreground detection in dynamic scenes', IEEE Transactions on Circuits and Systems for Video Technology, 27, (7) pp. 1478-1490. ISSN 1051-8215 (2017) [Refereed Article]

DOI: 10.1109/TCSVT.2016.2543118 [eCite] [Details]

Citations: Scopus - 33Web of Science - 25

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2017Kabir MMJ, Xu S, Kang BH, Zhao Z, 'A new multiple seeds based genetic algorithm for discovering a set of interesting Boolean association rules', Expert Systems With Applications, 74 pp. 55-69. ISSN 0957-4174 (2017) [Contribution to Refereed Journal]

DOI: 10.1016/j.eswa.2017.01.001 [eCite] [Details]

Citations: Scopus - 28Web of Science - 22

Co-authors: Kabir MMJ; Xu S; Zhao Z

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2017Park J-S, Shim Y-J, Kang BH, Lee W-K, Min B-H, 'Hepatocyte-specific clusterin overexpression attenuates diet-induced nonalcoholic steatohepatitis', Biochemical and Biophysical Research Communications, 495, (2) pp. 1775-1781. ISSN 0006-291X (2017) [Refereed Article]

DOI: 10.1016/j.bbrc.2017.12.045 [eCite] [Details]

Citations: Scopus - 15Web of Science - 17

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2017Park W, Kang BH, 'An enhancement of optimized detection rule of security monitoring and control for detection of cyberthreat in location-based mobile system', Mobile Information Systems, 2017 Article 8501976. ISSN 1574-017X (2017) [Refereed Article]

DOI: 10.1155/2017/8501976 [eCite] [Details]

Citations: Scopus - 1

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2017Yim J, Ganesan S, Kang BH, 'Location-based mobile marketing innovations', Mobile Information Systems, 2017 Article 1303919. ISSN 1574-017X (2017) [Contribution to Refereed Journal]

DOI: 10.1155/2017/1303919 [eCite] [Details]

Citations: Scopus - 5Web of Science - 4

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2016Ahmad M, Amin MB, Hussain S, Kang BH, Cheong T, et al., 'Health Fog: a novel framework for health and wellness applications', Journal of Supercomputing, 72, (10) pp. 3677-3695. ISSN 0920-8542 (2016) [Refereed Article]

DOI: 10.1007/s11227-016-1634-x [eCite] [Details]

Citations: Scopus - 147Web of Science - 121

Co-authors: Amin MB

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2016Ali R, Afzal M, Hussain M, Ali M, Siddiqi MH, et al., 'Multimodal hybrid reasoning methodology for personalized wellbeing services', Computers in Biology and Medicine, 69 pp. 10-28. ISSN 0010-4825 (2016) [Refereed Article]

DOI: 10.1016/j.compbiomed.2015.11.013 [eCite] [Details]

Citations: Scopus - 43Web of Science - 37

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2016Amin MB, Khan WA, Hussain S, Bui D-M, Banos O, et al., 'Evaluating large-scale biomedical ontology matching over parallel platforms', IETE Technical Review, 33, (4) pp. 415-427. ISSN 0256-4602 (2016) [Refereed Article]

DOI: 10.1080/02564602.2015.1117399 [eCite] [Details]

Citations: Scopus - 8Web of Science - 7

Co-authors: Amin MB

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2016Banos O, Amin MB, Khan WA, Afzal M, Hussain M, et al., 'The Mining Minds digital health and wellness framework', BioMedical Engineering Online, 15, (Suppl 1) Article S76. ISSN 1475-925X (2016) [Refereed Article]

DOI: 10.1186/s12938-016-0179-9 [eCite] [Details]

Citations: Scopus - 44Web of Science - 29

Co-authors: Amin MB

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2016Han SC, Liang Y, Chung H, Kim H, Kang BH, 'Chinese trending search terms popularity rank prediction', Information Technology and Management, 17, (2) pp. 133-139. ISSN 1385-951X (2016) [Refereed Article]

DOI: 10.1007/s10799-015-0238-0 [eCite] [Details]

Citations: Scopus - 1Web of Science - 1

Co-authors: Han SC; Chung H

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2016Pentecost D, Sennersten C, Ollington R, Lindley C, Kang B, 'Using a physics engine in ACT-R to aid decision making', International Journal on Advances in Intelligent Systems, 9, (3-4) pp. 298-309. ISSN 1942-2679 (2016) [Professional, Refereed Article]

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Co-authors: Pentecost D; Ollington R

2015Afzal M, Hussain M, Ali T, Hussain J, Khan WA, et al., 'Knowledge-based query construction using the CDSS knowledge base for efficient evidence retrieval', Sensors, 15, (9) pp. 21294-21314. ISSN 1424-8220 (2015) [Refereed Article]

DOI: 10.3390/s150921294 [eCite] [Details]

Citations: Scopus - 8Web of Science - 8

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2015Ali R, Siddiqi MH, Ahmed MI, Ali T, Hussain S, et al., 'GUDM: automatic generation of unified datasets for learning and reasoning in healthcare', Sensors, 15, (7) pp. 15772-15798. ISSN 1424-8220 (2015) [Refereed Article]

DOI: 10.3390/s150715772 [eCite] [Details]

Citations: Scopus - 13Web of Science - 12

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2015Amin MB, Khan WA, Lee S, Kang BH, 'Performance-based ontology matching: a data-parallel approach for an effectiveness-independent performance-gain in ontology matching', Applied Intelligence, 43, (2) pp. 356-385. ISSN 0924-669X (2015) [Refereed Article]

DOI: 10.1007/s10489-015-0648-z [eCite] [Details]

Citations: Scopus - 11Web of Science - 8

Co-authors: Amin MB

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2015Anam S, Kim YS, Kang BH, Liu Q, 'Review of ontology matching approaches and challenges', International journal of Computer Science and Network Solutions, 3, (3) pp. 1-27. ISSN 2345-3397 (2015) [Non Refereed Article]

[eCite] [Details]

Co-authors: Anam S; Kim YS; Liu Q

2015Han SC, Mirowski L, Kang BH, 'Exploring a role for MCRDR in enhancing telehealth diagnostics', Multimedia Tools and Applications, 74, (19) pp. 8467-8481. ISSN 1380-7501 (2015) [Refereed Article]

DOI: 10.1007/s11042-013-1613-7 [eCite] [Details]

Citations: Scopus - 3Web of Science - 2

Co-authors: Han SC; Mirowski L

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2015Idris M, Hussain S, Ali M, Abdulali A, Siddiqi MH, et al., 'Context-aware scheduling in MapReduce: a compact review', Concurrency and Computation: Practice and Experience, 27, (17) pp. 5332-5349. ISSN 1532-0626 (2015) [Refereed Article]

DOI: 10.1002/cpe.3578 [eCite] [Details]

Citations: Scopus - 14Web of Science - 9

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2015Kang BH, Kim H, 'Proposal: a design of u-learning module application for multi-cultural students in Korea', International Journal of Software Engineering and Its Applications, 9, (1) pp. 167-172. ISSN 1738-9984 (2015) [Contribution to Refereed Journal]

DOI: 10.14257/ijseia.2015.9.1.14 [eCite] [Details]

Citations: Scopus - 8

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2015Kang BH, Kim H, 'Proposal: a design of e-learning user authentication system', International Journal of Security and Its Applications, 9, (1) pp. 45-50. ISSN 1738-9976 (2015) [Contribution to Refereed Journal]

DOI: 10.14257/ijsia.2015.9.1.05 [eCite] [Details]

Citations: Scopus - 15

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2015Zhao Z, Xu S, Kang BH, Kabir MMJ, Liu Y, et al., 'Investigation and improvement of multi-layer perceptron neural networks for credit scoring', Expert Systems With Applications, 42, (7) pp. 3508-3516. ISSN 0957-4174 (2015) [Refereed Article]

DOI: 10.1016/j.eswa.2014.12.006 [eCite] [Details]

Citations: Scopus - 131Web of Science - 106

Co-authors: Zhao Z; Xu S; Kabir MMJ; Wasinger R

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2014Fahim M, Idris M, Ali R, Nugent C, Kang B, et al., 'ATHENA: a personalized platform to promote an active lifestyle and wellbeing based on physical, mental and social health primitives', Sensors, 14, (5) pp. 9313-9329. ISSN 1424-8220 (2014) [Refereed Article]

DOI: 10.3390/s140509313 [eCite] [Details]

Citations: Scopus - 28Web of Science - 24

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2014Han SC, Yoon H-G, Kang BH, Park S-B, 'Using MCRDR based Agile approach for expert system development', Computing, 96, (9) pp. 897-908. ISSN 0010-485X (2014) [Refereed Article]

DOI: 10.1007/s00607-013-0336-y [eCite] [Details]

Citations: Scopus - 8Web of Science - 6

Co-authors: Han SC

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2014Kabir MMJ, Xu S, Kang BH, Zhao Z, 'Association rule mining for both frequent and infrequent items using particle swarm optimization algorithm', International Journal on Computer Science and Engineering, 6, (7) pp. 221-231. ISSN 0975-3397 (2014) [Refereed Article]

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Co-authors: Kabir MMJ; Xu S; Zhao Z

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2014Kabir MMJ, Xu S, Kang BH, Zhao Z, 'A hybrid GeneticMax algorithm for improving the traditional genetic based approach for mining maximal frequent item sets', International Journal of Computer Science and Network Security, 14, (10) pp. 27-35. ISSN 1738-7906 (2014) [Refereed Article]

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Co-authors: Kabir MMJ; Xu S; Zhao Z

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2014Kang BH, Yun YS, 'A sketch of graphs of the generalized trigonometric fuzzy sets for the fundamental operations', Far East Journal of Mathematical Sciences, 90, (1) pp. 35-44. ISSN 0972-0871 (2014) [Refereed Article]

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2014Zhao Z, Xu S, Kang BH, Kabir MMJ, Liu Y, 'Investigation of multilayer perceptron and class imbalance problems for credit rating', International Journal of Computer and Information Technology, 3, (4) pp. 805-812. ISSN 2279-0764 (2014) [Refereed Article]

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Co-authors: Zhao Z; Xu S; Kabir MMJ

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2013Zhang M, Kang BH, Bai Q, 'Discover and visualize association rules from sensor observations on the web', Journal of Supercomputing, 65, (1) pp. 4-15. ISSN 0920-8542 (2013) [Refereed Article]

DOI: 10.1007/s11227-011-0697-y [eCite] [Details]

Citations: Scopus - 1Web of Science - 2

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2012Bindoff I, Stafford A, Peterson G, Kang BH, Tenni P, 'The potential for intelligent decision support systems to improve the quality and consistency of medication reviews', Journal of Clinical Pharmacy and Therapeutics, 37, (4) pp. 452-458. ISSN 0269-4727 (2012) [Refereed Article]

DOI: 10.1111/j.1365-2710.2011.01327.x [eCite] [Details]

Citations: Scopus - 25Web of Science - 18

Co-authors: Bindoff I; Stafford A; Peterson G; Tenni P

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2012Song JG, Jung S, Kang BH, Hwang D-J, Kim S, 'Design of context-aware middleware for mobile healthcare services', Journal of the Chinese Institute of Engineers, 35, (5) pp. 535-545. ISSN 0253-3839 (2012) [Refereed Article]

DOI: 10.1080/02533839.2012.679063 [eCite] [Details]

Citations: Scopus - 1

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2011Dazeley R, Park SS, Kang BH, 'Online knowledge validation with prudence analysis in a document management application', Expert Systems With Applications, 38, (9) pp. 10959-10965. ISSN 0957-4174 (2011) [Refereed Article]

DOI: 10.1016/j.eswa.2011.02.139 [eCite] [Details]

Citations: Scopus - 5Web of Science - 3

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2010Glina EM, Kang BH, 'Conversation system with state information', Journal of Advanced Computational Intelligence, 14, (6) pp. 741-745. ISSN 1343-0130 (2010) [Refereed Article]

DOI: 10.20965/jaciii.2010.p0741 [eCite] [Details]

Citations: Scopus - 3

Co-authors: Glina EM

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2009Chui FCH, Bindoff IK, Williams RN, Kang BH, 'Applying Feature Extraction for Classification Problems', International Journal of Signal Processing, Image Processing and Pattern Recognition, 2, (No 1. March 2009) pp. 1-16. ISSN 2005-4254 (2009) [Refereed Article]

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Co-authors: Bindoff IK; Williams RN

2009Dermoudy J, Kang BH, Bhattacharyya D, Jeon SH, Farkhod A, 'Process of extracting uncover patterns from data: a review', International Journal of Database Theory and Application, 2, (2) pp. 17-33. ISSN 2005-4270 (2009) [Refereed Article]

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Co-authors: Dermoudy J

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2009Kang BH, Balintanas MO, 'Vulnerabilities of VPN using IPSec and Defensive Measures', International Journal of Advanced Science and Technology, 8, (July 2009) pp. 9-17. ISSN 2005-4238 (2009) [Refereed Article]

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2009Park M, Jin SJ, Hofstetter R, Xu M, Kang BH, 'Autonomic Colonic Polyp Detection by the Mapping using Regional Unit Sphere', International Journal of Software Engineering and Its Applications, 3, (January 2009) pp. 11-18. ISSN 1738-9984 (2009) [Refereed Article]

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2009Park M, Kang BH, Jin SJ, Luo S, 'Computer aided diagnosis system of medical images using incremental learning method', Expert systems with applications, 36, (3) pp. 7242-7251. ISSN 0957-4174 (2009) [Refereed Article]

DOI: 10.1016/j.eswa.2008.09.058 [eCite] [Details]

Citations: Scopus - 20Web of Science - 17

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2009Zehmeister M, Kim YS, Kang BH, 'Illumination identification by using image colour data and robot's location and orientation data', International Journal of Ad Hoc and Ubiquitous Computing, 4, (1) pp. 13-23. ISSN 1743-8225 (2009) [Refereed Article]

DOI: 10.1504/IJAHUC.2009.021910 [eCite] [Details]

Co-authors: Kim YS

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2008Dazeley RP, Kang BH, 'Epistemological approach to the process of practice', Minds & Machines, 18, (4) pp. 547-567. ISSN 0924-6495 (2008) [Refereed Article]

DOI: 10.1007/s11023-008-9117-3 [eCite] [Details]

Citations: Scopus - 5Web of Science - 4

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2007Bindoff IK, Tenni PC, Peterson GM, Kang BH, Jackson SL, 'Development of an intelligent decision support system for medication review', Journal of Clinical Pharmacy and Therapeutics, 32, (1) pp. 81-88. ISSN 0269-4727 (2007) [Refereed Article]

DOI: 10.1111/j.1365-2710.2007.00801.x [eCite] [Details]

Citations: Scopus - 30Web of Science - 20

Co-authors: Bindoff IK; Tenni PC; Peterson GM; Jackson SL

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2007Kim YS, Kang BH, 'Tracking government Websites for information integration', Information research: an international electronic journal, 12, (4) EJ ISSN 1368-1613 (2007) [Refereed Article]

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Citations: Web of Science - 1

Co-authors: Kim YS

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2006Burman S, Kim YS, Kang BH, Park GC, 'Maintenance of Game Character's AI by Players', International Journal of Multimedia and Ubiquitous Engineering, 1, (1) pp. 39-46. ISSN 1975-0080 (2006) [Refereed Article]

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Co-authors: Burman S; Kim YS

2005Park GC, Kim YT, Kim YS, Kang BH, 'SOAP Message Processing Performance Enhancement by Simplifying System Architecture', Journal of Security Engineering, 2, (3) pp. 163-170. ISSN 1738-7531 (2005) [Refereed Article]

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Co-authors: Kim YS

2005Park GC, Park S, Kim YS, Kang BH, 'Intelligent Web Document Classification Using Incrementally Changing Training data Set', Journal of Security Engineering, 2, (3) pp. 186-191. ISSN 1738-7531 (2005) [Refereed Article]

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Co-authors: Park S; Kim YS

2005Park GS, Kim YS, Kang BH, 'Dynamic Mobile Content Adaptation According to Various Delivery Contexts', Journal of Security Engineering, 2, (3) pp. 202-208. ISSN 1738-7531 (2005) [Refereed Article]

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Co-authors: Kim YS

Book

(2 outputs)
YearCitationAltmetrics
2021Compton PJ, Kang BH, 'Ripple-Down Rules: The Alternative to Machine Learning', Routledge/CRC Press, Oxford, UK, pp. 196. ISBN 9780367644321 (2021) [Authored Research Book]

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Co-authors: Compton PJ

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2011Kim TH, Adeli H, Kim HK, Kang HJ, Kim KY, et al., 'Communication in Computer and Information Science - Software Engineering, Business Continuity and Education', Springer- Verlag, Jeju Island, Korea, pp. 500. ISBN 978-3-642-27206-6 (2011) [Edited Book]

DOI: 10.1007/978-3-642-27207-3 [eCite] [Details]

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Chapter in Book

(3 outputs)
YearCitationAltmetrics
2020Battula SK, Garg S, Montgomery J, Kang B, 'Fog Platforms for IoT Applications: Requirements, Survey, and Future Directions', IoT: Security and Privacy Paradigm, Routledge, S Pal, VG Diaz & D-N Le (ed), United Kingdom, pp. 47-69. ISBN 9780367253844 (2020) [Research Book Chapter]

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Co-authors: Battula SK; Garg S; Montgomery J

2020Naha RK, Battula SK, Hameed K, K C U, Patwary MAK, et al., 'Towards Secure Internet of Things: Blockchain Solutions, Challenges, and Open Issues', Blockchain for Cybersecurity and Privacy: Architectures, Challenges, and Applications, Taylor & Francis Group, Y Maleh, M Shojafar, M Alazab & I Romdhani (ed), United Kingdom, pp. 85-116. ISBN 9780367343101 (2020) [Research Book Chapter]

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Co-authors: Naha RK; Battula SK; Hameed K; K C U; Patwary MAK; Garg S

2016Zhao Z, Xu S, Kang BH, Kabir MMJ, Liu Y, et al., 'Utilizing Feature Selection on Higher Order Neural Networks', Applied Artificial Higher Order Neural Networks for Control and Recognition, Information Science Reference, M Zhang (ed), Hershey PA, USA, pp. 375-390. ISBN 9781522500636 (2016) [Research Book Chapter]

DOI: 10.4018/978-1-5225-0063-6.ch015 [eCite] [Details]

Co-authors: Zhao Z; Xu S; Kabir MMJ; Wasinger R

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Conference Publication

(165 outputs)
YearCitationAltmetrics
2020Wei Y, Xu S, Tran S, Kang B, 'Data augmentation with generative adversarial networks for grocery product image recognition', Proceedings of the 16th IEEE International Conference on Control, Automation, Robotics and Vision, ICARCV 2020, 13-15 December 2020, Virtual Conference, Online (Shenzhen, China), pp. 963-968. ISBN 978-1-7281-7709-0 (2020) [Refereed Conference Paper]

DOI: 10.1109/ICARCV50220.2020.9305421 [eCite] [Details]

Citations: Scopus - 2

Co-authors: Wei Y; Xu S; Tran S

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2019Hardy L, Castles M, Yeom S, Kang B, 'Challenges and prospects of a robotics course to supplement Australia's digital technology curriculum', Proceedings of the IEEE 19th International Conference on Advanced Learning Technologies (ICALT), 15-18 July 2019, Maceio, Brazil, pp. 224-226. ISSN 2161-377X (2019) [Refereed Conference Paper]

DOI: 10.1109/ICALT.2019.00074 [eCite] [Details]

Citations: Scopus - 1

Co-authors: Hardy L; Castles M; Yeom S

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2019Herbert D, Kang B, 'Comparative analysis of intelligent personal agent performance', Lecture Notes in Computer Science, 26-27 August 2019, Cuvu, Fiji, pp. 127-141. ISBN 9783030306380 (2019) [Refereed Conference Paper]

DOI: 10.1007/978-3-030-30639-7_11 [eCite] [Details]

Citations: Scopus - 2

Co-authors: Herbert D

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2019Park M, Yang W, Cao Z, Kang B, Connor D, et al., 'Marine vertebrate predator detection and recognition in underwater videos by region convolutional neural network', Lecture Note in Computer Science: Proceedings of the 16th Pacific Rim Knowledge Acquisition Workshop: Knowledge Management and Acquisition for Intelligent Systems (PKAW 2019), 26-27 August 2019, Cuvu, Fiji, pp. 66-80. ISBN 978-3-030-30638-0 (2019) [Refereed Conference Paper]

DOI: 10.1007/978-3-030-30639-7_7 [eCite] [Details]

Citations: Scopus - 3

Co-authors: Park M; Yang W; Cao Z; Lea M-A

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2019Patwary MAK, Garg SK, Kang BH, 'Window-based streaming graph partitioning algorithm', Proceedings of the 2019 Australasian Computer Science Week Multiconference (ACSW 2019), 29-31 January 2019, Sydney, Australia, pp. 1-10. ISBN 978-1-4503-6603-8 (2019) [Refereed Conference Paper]

DOI: 10.1145/3290688.3290711 [eCite] [Details]

Citations: Scopus - 10Web of Science - 7

Co-authors: Patwary MAK; Garg SK

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2019Raza A, Hardy L, Roehrer E, Yeom S, Kang BH, 'GPSPiChain-Blockchain based self-contained family security system in smart home', Proceedings of the 4th International Workshop on Smart Simulation and Modelling for Complex Systems, 12 August 2019, Macau, China, pp. 1-15. (2019) [Refereed Conference Paper]

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Co-authors: Raza A; Hardy L; Roehrer E; Yeom S

2019Wu S, Bai Q, Kang B, 'Adaptive incentive allocation for influence-aware proactive recommendation', PRICAI 2019: Trends in Artificial Intelligence, 26-30 August 2019, Cuvu, Fiji, pp. 649-661. ISSN 0302-9743 (2019) [Refereed Conference Paper]

DOI: 10.1007/978-3-030-29908-8_51 [eCite] [Details]

Citations: Scopus - 3

Co-authors: Bai Q

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2018Ali M, Lee S, Kang BH, 'KEM-DT: a knowledge engineering methodology to produce an integrated rules set decision tree classifiers', Proceedings from the International Conference on Ubiquitous Information Management and Communication, 5-7 January 2018, Langkawi, Malaysia, pp. 1-5. ISBN 9781450363853 (2018) [Refereed Conference Paper]

DOI: 10.1145/3164541.3164640 [eCite] [Details]

Citations: Scopus - 1

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2018Chung H, Long S, Han SC, Sarker S, Ellis L, et al., 'A comparative study of online and face-to-face embedded systems learning course', Proceedings of the 20th Australasian Computing Education Conference, 30 January - 2 Febuary 2018, Brisbane, Australia, pp. 63-72. ISBN 9781450363402 (2018) [Refereed Conference Paper]

DOI: 10.1145/3160489.3160499 [eCite] [Details]

Citations: Scopus - 5Web of Science - 31

Co-authors: Chung H; Long S; Sarker S; Ellis L

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2018Geng X, Kang BH, 'PRICAI 2018: Trends in Artificial Intelligence', Springer International Publishing, 28-31 August, 2018, Nanjing, China ISBN 978-3-319-97303-6 (2018) [Conference Edited]

DOI: 10.1007/978-3-319-97304-3 [eCite] [Details]

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2018Hussain M, Hassan AU, Sadiq M, Kang BH, Lee S, 'Missing information prediction in ripple down rule based clinical decision support system', Smart Homes and Health Telematics: Designing a Better Future: Urban Assisted Living 16th International Conference, ICOST 2018 Proceedings, July 10-12, 2018, Singapore, pp. 179-188. ISSN 0302-9743 (2018) [Refereed Conference Paper]

DOI: 10.1007/978-3-319-94523-1_16 [eCite] [Details]

Citations: Scopus - 1

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2018Lin Y, Han SC, Kang BH, 'Machine learning for the peer assessment credibility', 23-27 April, Lyon, France, pp. 117-118. ISBN 9781450356404 (2018) [Conference Edited]

DOI: 10.1145/3184558.3186957 [eCite] [Details]

Co-authors: Lin Y

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2018Yang W, Garg S, Raza A, Herbert D, Kang BH, 'Blockchain: trends and future', Proceedings of the 15th Pacific Rim Knowledge Acquisition Workshop (PKAW 2018): Knowledge Management and Acquisition for Intelligent Systems, 28-29 August 2018, Nanjing, China, pp. 201-210. ISSN 0302-9743 (2018) [Refereed Conference Paper]

DOI: 10.1007/978-3-319-97289-3 [eCite] [Details]

Co-authors: Yang W; Garg S; Raza A; Herbert D

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2017Ali M, Lee S, Kang BH, 'An IoT-based CBL methodology to create real-world clinical cases for medical education', Proceedings from the 8th International Conference on ICT Convergence, 18-20 October, Jeju Island, Korea, pp. 1038-1041. ISBN 9781509040322 (2017) [Refereed Conference Paper]

DOI: 10.1109/ICTC.2017.8190847 [eCite] [Details]

Citations: Scopus - 3

Co-authors: Ali M

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2017Ameen S, Han SC, Lin Y, Lah M, Kang BH, 'Intelligent medical case based e-learning system', Proceedings from the Australasian Conference on Information Systems, 4-6 December, Hobart, Australia, pp. 1-12. (2017) [Refereed Conference Paper]

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Co-authors: Ameen S; Lin Y

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2017Taskhiri MS, Matuszak M, Kang B, Turner P, 'Enhancing forestry supply chain through innovative integration of digital tools and techniques', Proceedings from the Australasian Conference on Information Systems, 4-6 December, Hobart, Australia, pp. 130-139. ISBN 9781925646092 (2017) [Refereed Conference Paper]

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Co-authors: Taskhiri MS; Matuszak M; Turner P

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2016Ali M, Hussain J, Lee S, Kang BH, 'X-UDeKAM: an intelligent method for acquiring declarative structured knowledge using Chatterbot', Proceedings of the 16th International Symposium on Perception, Action, and Cognitive Systems (PACS2016), 27-28 October 2016, Seoul, Korea, pp. 65-66. ISSN 2508-5662 (2016) [Conference Extract]

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2016Ali M, Hussain M, Le S, Kang BH, 'SaKEM: A Semi-automatic Knowledge engineering methodology for building rule-based knowledgebase', Proceedings of the 16th International Symposium on Perception, Action, and Cognitive Systems (PACS2016), 27-28 October 2016, Seoul, Korea, pp. 63-64. (2016) [Conference Extract]

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2016Ali M, Lee S, Kang BH, 'UDeKAM: A methodology for acquiring declarative structured knowledge from unstructured knowledge resources', Proceedings of the International Conference on Machine Learning and Cybernetics 2016, 10-13 July 2016, Maison Glad Jeju, Jejuleju Island, South Korea, pp. 177-182. ISBN 9781509003891 (2016) [Refereed Conference Paper]

DOI: 10.1109/ICMLC.2016.7860897 [eCite] [Details]

Citations: Scopus - 1

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2016Ali SI, Kang BH, Lee S, 'Application of feature subset selection methods on classifiers comprehensibility for bio-medical datasets', Lecture Notes in Computer Science 8867: Proceedings of the 10th International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2016), 29 November - 2 December 2016, Canary Islands, Spain, pp. 38-43. ISBN 978-3-319-48745-8 (2016) [Refereed Conference Paper]

DOI: 10.1007/978-3-319-48746-5_4 [eCite] [Details]

Citations: Scopus - 1

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2016Ameen S, Chung H, Han SC, Kang BH, 'Open-domain question answering framework using Wikipedia', Lecture Notes in Computer Science 9992: Proceedings of the 29th Australasian Joint Conference on Artificial Intelligence (AI 2016): Advances in Artificial Intelligence), 5-8 December 2016, Hobart, Tasmania, pp. 623-635. ISBN 978-3-319-50127-7 (2016) [Refereed Conference Paper]

DOI: 10.1007/978-3-319-50127-7_55 [eCite] [Details]

Citations: Scopus - 1

Co-authors: Ameen S; Chung H; Han SC

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2016Anam S, Kim YS, Kang BH, Liu Q, 'Adapting a knowledge-based schema matching system for ontology mapping', Proceedings of the Australasian Computer Science Week Multiconference (ACSW '16), 02-05 February, Canberra, Australia, pp. 1-10. ISBN 9781450340427 (2016) [Refereed Conference Paper]

DOI: 10.1145/2843043.2843048 [eCite] [Details]

Citations: Scopus - 9

Co-authors: Anam S

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2016Chung H, Chen R, Han SC, Kang BH, 'Combining RDR-based machine learning approach and human expert knowledge for phishing prediction', Lecture Notes in Computer Science 9810: Proceedings of the 14th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2016) - Trends in Artificial Intelligence, 22-26 August, Phuket, Thailand, pp. 80-92. ISSN 0302-9743 (2016) [Refereed Conference Paper]

DOI: 10.1007/978-3-319-42911-3_7 [eCite] [Details]

Co-authors: Chung H; Chen R; Han SC

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2016Evans KJ, Coghlan GM, Han SC, Chung H, Kang BH, 'Supporting on-vineyard decisions with VitiApp', 16th Australian Wine Industry Technical Conference 2016, 24-28 July 2016, Adelaide, SA, pp. 1. (2016) [Conference Extract]

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Co-authors: Evans KJ; Coghlan GM; Han SC; Chung H

2016Hyeon J, Oh K-J, Kim YJ, Chung H, Kang BH, et al., 'Constructing an initial knowledge base for medical domain expert system using induct RDR', Proceedings of the 2016 International Conference on Big Data and Smart Computing (BigComp), 18-20 January 2016, Hong Kong, China, pp. 408-410. ISBN 978-1-4673-8796-5 (2016) [Refereed Conference Paper]

DOI: 10.1109/BIGCOMP.2016.7425958 [eCite] [Details]

Citations: Scopus - 5

Co-authors: Chung H

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2016Kabir MMJ, Xu S, Kang BH, Zhao Z, 'Multiple seeds based evolutionary algorithm for mining Boolean association rules', Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining Workshops (PAKDD 2016), 19 April 2016, Auckland, New Zealand, pp. 61-72. ISBN 9783319429953 (2016) [Refereed Conference Paper]

DOI: 10.1007/978-3-319-42996-0_6 [eCite] [Details]

Co-authors: Kabir MMJ; Xu S; Zhao Z

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2016Khan WA, Idris M, Ali T, Ali R, Hussain S, et al., 'Correlating health and wellness analytics for personalized decision making', Proceedings of 17th International Conference on E-health Networking, Application & Services, 14-17 October 2015, Boston, Massacheusetts, United States, pp. 256-261. ISBN 978-1-4673-8325-7 (2016) [Non Refereed Conference Paper]

DOI: 10.1109/HealthCom.2015.7454508 [eCite] [Details]

Citations: Scopus - 3

Co-authors: Amin MB

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2016Kim D, Han SC, Lee S, Kang BH, 'Predicting the rank of trending topics', Proceedings of AI 2016: Advances in Artificial Intelligence, 05-08 December 2016, Hobart, Tasmania, pp. 636-647. ISSN 0302-9743 (2016) [Conference Extract]

DOI: 10.1007/978-3-319-50127-7_56 [eCite] [Details]

Co-authors: Han SC

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2016Kim D, Han SC, Lee S, Kang BH, 'Predicting the scale of trending topic diffusion among online communities', Lecture Notes in Computer Science 8867: Proceedings of the 14th Pacific Rim Knowledge Acquisition Workshop - Knowledge Management & Acquisition for Intelligent Systems), 22-23 August 2016, Phuket, Thailand, pp. 153-165. ISSN 0302-9743 (2016) [Refereed Conference Paper]

DOI: 10.1007/978-3-319-42706-5_12 [eCite] [Details]

Co-authors: Han SC

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2016Pentecost D, Sennersten C, Ollington R, Lindley CA, Kang B, 'Predictive ACT-R (PACT-R): Using a physics engine and simulation for physical prediction in a cognitive architecture', Proceedings of the 8th International Conference on Advanced Cognitive Technologies and Applications (COGNITIVE 2016), 20-24 March 2016, Rome, Italy, pp. 22-32. ISBN 978-1-61208-462-6 (2016) [Refereed Conference Paper]

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Co-authors: Pentecost D; Ollington R

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2015Ahmad M, Kang BH, Lee S, 'ReSet: a protocol for private matching', Proceedings of the 9th International Conference on Ubiquitous Information Management and Communication (IMCOM 2015), 8-10 January, Bali, Indonesia, pp. 1-6. ISBN 9781450333771 (2015) [Refereed Conference Paper]

DOI: 10.1145/2701126.2701190 [eCite] [Details]

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2015Ahmad M, Pervez Z, Kang BH, Lee S, 'O-Bin: oblivious binning for encrypted data over cloud', Proceedings of the 29th International Conference on Advanced Information Networking and Applications, 25-27 March 2015, Gwangju, Korea, pp. 352-357. ISBN 9781479979042 (2015) [Refereed Conference Paper]

DOI: 10.1109/AINA.2015.206 [eCite] [Details]

Citations: Scopus - 1Web of Science - 2

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2015Ahmad M, Pervez Z, Lee S, Kang BH, 'Task-oriented access model for secure data sharing over cloud', Proceedings of the 9th International Conference on Ubiquitous Information Management and Communication (IMCOM 2015), 8-10 January 2015, Bali, Indonesia, pp. 1-7. ISBN 9781450333771 (2015) [Refereed Conference Paper]

DOI: 10.1145/2701126.2701186 [eCite] [Details]

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2015Ali M, Bilal HSM, Hussain J, Lee S, Kang BH, 'An interactive case-based flip learning tool for medical education', Lecture Notes in Computer Science: Proceedings of the 13th International Conference on Smart Homes and Health Telematics (ICOST 2015) - Inclusive Smart Cities and e-Health, 10-12 June 2015, Geneva Switzerland, pp. 355-360. ISBN 9783319193113 (2015) [Refereed Conference Paper]

DOI: 10.1007/978-3-319-19312-0_35 [eCite] [Details]

Citations: Scopus - 7Web of Science - 6

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2015Ali R, Siddiqi MH, Lee S, Kang BH, 'KARE: a hybrid reasoning approach for promoting active lifestyle', Proceedings of the ACM IMCOM 2015, 8-10 January, Bali, Indonesia, pp. 1-5. ISBN 978-1-4503-3377-1 (2015) [Refereed Conference Paper]

DOI: 10.1145/2701126.2701156 [eCite] [Details]

Citations: Scopus - 7Web of Science - 1

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2015Amin MB, Hussain S, Han M, Kang BH, Ik YY, et al., 'Profiling-based energy-aware recommendation system for cloud platforms', Lecture Notes in Electrical Engineering 330: Proceedings of the International Conference on Computer Science and its Applications (CSA 2014) - Ubiquitous Information Technologies, 17-19 2014, Guam, pp. 851-859. ISBN 978-3-662-45401-5 (2015) [Refereed Conference Paper]

DOI: 10.1007/978-3-662-45402-2_121 [eCite] [Details]

Citations: Scopus - 4

Co-authors: Amin MB

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2015Anam S, Kang BH, Kim YS, Liu Q, 'Linked data provenance: state of the art and challenges', Proceedings of the 3rd Australasian Web Conference (AWC 2015), 27-30 January 2015, Sydney, Australia, pp. 19-28. ISBN 9781921770487 (2015) [Refereed Conference Paper]

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Co-authors: Anam S; Kim YS

2015Anam S, Kim YS, Kang BH, Liu Q, 'Schema mapping using hybrid ripple-down rules', Proceedings of the 38th Australasian Computer Science Conference (ACSC 2015), 27-30 January 2015, Sydney, Australia, pp. 17-26. ISBN 9781921770418 (2015) [Refereed Conference Paper]

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Co-authors: Anam S; Kim YS

2015Anam S, Kim YS, Kang BH, Liu Q, 'Designing a knowledge-based schema matching system for schema mapping', Proceedings of the 13th Australasian Data Mining Conference (AusDM 2015), 8-9 August 2015, Sydney, Australia, pp. 69-77. ISBN 9781921770180 (2015) [Refereed Conference Paper]

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Co-authors: Anam S

2015Banos O, Amin MB, Khan WA, Afzel M, Ahmad M, et al., 'An innovative platform for person-centric health and wellness support', Proceedings of the 3rd Bioinformatics and Biomedical Engineering International Conference (IWBBIO 2015), 15-17 April 2015, Granada, Spain, pp. 131-140. ISBN 9783319164793 (2015) [Refereed Conference Paper]

DOI: 10.1007/978-3-319-16480-9_14 [eCite] [Details]

Citations: Scopus - 12

Co-authors: Amin MB

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2015Banos O, Amin MB, Khan WA, Ali T, Afzal M, et al., 'Mining minds: an innovative framework for personalized health and wellness support', Proceedings of the 9th International Conference on Pervasive Computing Technologies for Healthcare (Pervasive Health), 20-23 May 2015, Istanbul, Turkey, pp. 1-8. ISBN 9781631900457 (2015) [Refereed Conference Paper]

DOI: 10.4108/icst.pervasivehealth.2015.259083 [eCite] [Details]

Citations: Scopus - 29Web of Science - 17

Co-authors: Amin MB

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2015Han SC, Chung H, Kang BH, 'Trending topics rank prediction', Web Information Systems Engineering (WISE 2015) Part II, 1-3 November 2015, Miami, FL, pp. 316-323. ISBN 9783319261867 (2015) [Refereed Conference Paper]

DOI: 10.1007/978-3-319-26187-4_29 [eCite] [Details]

Citations: Scopus - 1

Co-authors: Han SC; Chung H

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2015Kabir MMJ, Xu S, Kang BH, Zhao Z, 'Comparative analysis of genetic based approach and apriori algorithm for mining maximal frequent item sets', Proceedings of the 2015 IEEE Congress on Evolutionary Computation, 25-28 May 2015, Sendai, Japan, pp. 39-45. ISBN 978-1-4799-7492-4 (2015) [Refereed Conference Paper]

DOI: 10.1109/CEC.2015.7256872 [eCite] [Details]

Citations: Scopus - 11

Co-authors: Kabir MMJ; Xu S; Zhao Z

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2015Kabir MMJ, Xu S, Kang BH, Zhao Z, 'Discovery of interesting association rules using genetic algorithm with adaptive mutation', Lecture Notes in Computer Science: 22nd International Conference, ICONIP 2015 - Neural Information Processing, 09-12 November 2015, Istanbul, Turkey, pp. 96-105. ISBN 978-3-319-26534-6 (2015) [Refereed Conference Paper]

DOI: 10.1007/978-3-319-26535-3_12 [eCite] [Details]

Citations: Scopus - 5Web of Science - 2

Co-authors: Kabir MMJ; Xu S; Zhao Z

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2015Kabir MMJ, Xu S, Kang BH, Zhao Z, 'A new evolutionary algorithm for extracting a reduced set of interesting association rules', Lecture Notes in Computer Science: 22nd International Conference, ICONIP 2015 - Neural Information Processing, 09-12 November 2015, Istanbul, Turkey, pp. 133-142. ISBN 978-3-319-26534-6 (2015) [Refereed Conference Paper]

DOI: 10.1007/978-3-319-26535-3_16 [eCite] [Details]

Citations: Scopus - 13Web of Science - 9

Co-authors: Kabir MMJ; Xu S; Zhao Z

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2015Khan WA, Amin MB, Banos O, Ali T, Hussain M, et al., 'Mining minds: journey of evolutionary platform for ubiquitous wellness', Proceedings of the 12th International Conference on Ubiquitous Healthcare (u-Healthcare2015), 30 November - 02 December, Osaka, Japan, pp. 1-3. (2015) [Conference Extract]

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Co-authors: Amin MB

2014Afzal M, Hussain M, Ali T, Khan WA, Lee S, et al., 'MLM-based automated query generation for CDSS evidence support', Lecture Notes in Computer Science 8867: Proceedings of the 8th International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2014), 2-5 December 2014, Belfast, UK, pp. 296-299. ISSN 0302-9743 (2014) [Refereed Conference Paper]

DOI: 10.1007/978-3-319-13102-3_49 [eCite] [Details]

Citations: Scopus - 3

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2014Afzal M, Hussein M, Khan WA, Ali T, Lee S, et al., 'KnowledgeButton: an evidence adaptive tool for CDSS and clinical research', 2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA 2014) Proceedings, 23-25 July 2014, Alberobello, Italy, pp. 273-280. ISBN 978-1-4799-3019-7 (2014) [Refereed Conference Paper]

DOI: 10.1109/INISTA.2014.6873630 [eCite] [Details]

Citations: Scopus - 7

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2014Ali R, Siddiqi MH, Idris M, Kang BH, Lee S, 'Prediction of diabetes mellitus based on boosting ensemble modeling', Lecture Notes in Computer Science 8867: Proceedings of the 8th International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2014), 2-5 December 2014, Belfast, UK, pp. 25-28. ISSN 0302-9743 (2014) [Refereed Conference Paper]

DOI: 10.1007/978-3-319-13102-3_6 [eCite] [Details]

Citations: Scopus - 20

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2014Ali T, Hussein M, Khan WA, Afzal M, Kang BH, et al., 'Arden Syntax studio: creating medical logic module as shareable knowledge', 2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA 2014) Proceedings, 23-25 July 2014, Alberobello, Italy, pp. 266-272. ISBN 978-1-4799-3019-7 (2014) [Refereed Conference Paper]

DOI: 10.1109/INISTA.2014.6873629 [eCite] [Details]

Citations: Scopus - 5

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2014Anam S, Kim YS, Kang BH, Liu Q, 'Evaluation of terminological schema matching and Its implications for schema mapping', Lecture Notes in Artificial Intelligence 8862: Proceedings of the 13th Pacific Rim International Conference on Artificial Intelligence (PRICAI-2014), 1-5 December 2014, Gold Coast, Australia, pp. 561-572. ISSN 0302-9743 (2014) [Refereed Conference Paper]

DOI: 10.1007/978-3-319-13560-1_45 [eCite] [Details]

Citations: Scopus - 1

Co-authors: Anam S; Kim YS

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2014Compton P, Kim YS, Kang BH, 'Linked production rules: controlling inference with knowledge', Lecture Notes in Artificial Intelligence 8863: Proceedings of the 13th Pacific Rim Knowledge Acquisition Workshop (PKAW2014), 1-2 December 2014, Gold Coast, Australia, pp. 84-98. ISSN 0302-9743 (2014) [Refereed Conference Paper]

DOI: 10.1007/978-3-319-13332-4_8 [eCite] [Details]

Citations: Scopus - 1

Co-authors: Kim YS

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2014Han SC, Chung H, Kim DH, Lee S, Kang BH, 'Twitter trending topics meaning disambiguation', Lecture Notes in Artificial Intelligence 8863: Proceedings of the 13th Pacific Rim Knowledge Acquisition Workshop (PKAW2014), 1-2 December 2014, Gold Coast, Australia, pp. 126-137. ISSN 0302-9743 (2014) [Refereed Conference Paper]

DOI: 10.1007/978-3-319-13332-4_11 [eCite] [Details]

Citations: Scopus - 3

Co-authors: Han SC; Chung H

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2014Hussain J, Khan WA, Afzal M, Hussain M, Kang BH, et al., 'Adaptive user interface and user experience based authoring tool for recommendation systems', Lecture Notes in Computer Science 8867: Proceedings of the 8th International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2014), 2-5 December 2014, Belfast, UK, pp. 136-142. ISSN 0302-9743 (2014) [Refereed Conference Paper]

DOI: 10.1007/978-3-319-13102-3_24 [eCite] [Details]

Citations: Scopus - 10

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2014Hussain S, Kang BH, Lee S, 'A wearable device-based personalized big data analysis model', Lecture Notes in Computer Science 8867: Proceedings of the 8th International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2014), 2-5 December 2014, Belfast, UK, pp. 236-242. ISSN 0302-9743 (2014) [Refereed Conference Paper]

DOI: 10.1007/978-3-319-13102-3_39 [eCite] [Details]

Citations: Scopus - 11

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2014Huynh-The T, Le B-V, Fahim M, Lee S, Yoon Y, et al., 'PAM-based behavior modelling', Lecture Notes in Computer Science 8868: Proceedings of the 6th International Work-Conference, IWAAL 2014, 2-5 December 2014, Belfast, UK, pp. 34-37. ISSN 0302-9743 (2014) [Refereed Conference Paper]

DOI: 10.1007/978-3-319-13105-4_6 [eCite] [Details]

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2014Idris M, Hussain S, Ali T, Kang BH, Lee S, 'Semantics based intelligent search in large digital repositories using Hadoop MapReduce', Lecture Notes in Computer Science 8867: Proceedings of the 8th International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2014), 2-5 December 2014, Belfast, UK, pp. 292-295. ISSN 0302-9743 (2014) [Refereed Conference Paper]

DOI: 10.1007/978-3-319-13102-3_48 [eCite] [Details]

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2014Kabir M, Xu S, Kang BH, Zhao Z, 'A novel approach to mining maximal frequent itemsets based on genetic algorithm', Proceedings of the 9th International Conference on Information Technology and Applications, 1-4 July 2014, Sydney, Australia, pp. 1-6. ISBN 978-0-9803267-6-5 (2014) [Refereed Conference Paper]

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Co-authors: Kabir M; Xu S; Zhao Z

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2014Kang BH, Kim DH, Chung H, 'What issue spread on the web: analyze the web trends', Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication (ACM ICUIMC 2014), 9-11 January 2014, Siem Reap, Cambodia, pp. 1-7. ISBN 9781450326445 (2014) [Refereed Conference Paper]

DOI: 10.1145/2557977.2558082 [eCite] [Details]

Citations: Scopus - 3

Co-authors: Chung H

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2014Kim YS, Kang BH, Richards D, '13th Pacific Rim Knowledge Acquisition Workshop (PKAW 2014) Proceedings', Springer International Publishing, 1-2 December, Gold Coast, Australia, pp. 1-289. ISSN 0302-9743 (2014) [Conference Edited]

DOI: 10.1007/978-3-319-13332-4 [eCite] [Details]

Co-authors: Kim YS

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2014Siddiqi MH, Ali R, Kang BH, Lee S, 'A new feature extraction technique for human facial expression recognition systems using depth camera', Lecture Notes in Computer Science 8868: Proceedings of the 6th International Work-Conference, IWAAL 2014, 2-5 December 2014, Belfast, UK, pp. 131-138. ISSN 0302-9743 (2014) [Refereed Conference Paper]

DOI: 10.1007/978-3-319-13105-4_21 [eCite] [Details]

Citations: Scopus - 1

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2014Xue W, Chung H, Han SC, Kim YS, Kang BH, 'Arduface: an embedded system analysis tool', Lecture Notes in Artificial Intelligence 8862: 13th Pacific Rim International Conference on Artificial Intelligence (PRICAI-2014) Proceedings, 1-5 December 2014, Gold Coast, Australia, pp. 472-483. ISSN 0302-9743 (2014) [Refereed Conference Paper]

DOI: 10.1007/978-3-319-13560-1_38 [eCite] [Details]

Co-authors: Xue W; Chung H; Han SC; Kim YS

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2014Zhao Z, Xu S, Kang BH, Kabir M, Liu Y, 'Instance selection and optimization of neural networks', Proceedings of the 9th International Conference on Information Technology and Applications, 1-4 July 2014, Sydney, Australia, pp. 1-6. ISBN 978-0-9803267-6-5 (2014) [Refereed Conference Paper]

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Co-authors: Zhao Z; Xu S; Kabir M

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2013Ahmad M, Pervez Z, Yoon YIK, Kang BH, Lee S, 'Reflection: A lightweight protocol for private matching', Proceedings of the 2013 International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2013, 2-5 December 2013, Kyoto, Japan, pp. 673-678. ISBN 978-1-4799-3211-5 (2013) [Refereed Conference Paper]

DOI: 10.1109/SITIS.2013.110 [eCite] [Details]

Citations: Scopus - 2

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2013Han SC, Mirowski L, Jeon S-H, Lee G-S, Kang BH, et al., 'Expert systems and home-based telehealth: Exploring a role for MCRDR in enhancing diagnostics', Proceedings of the International Conference, UCMA, SIA, CCSC, ACIT 2013, 23-25 May 2013, Xian, China, pp. 121-127. ISSN 2287-1233 (2013) [Refereed Conference Paper]

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Co-authors: Han SC; Mirowski L; Turner P

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2013Han SC, Mirowski L, Jeon S-H, Lee G-S, Kang BH, et al., 'Home-based telehealth devices and the National Broadband Network (NBN): reflections on technical feasibility versus patient need', Proceedings of the International Conference, UCMA, SIA, CCSC, ACIT 2013, 23-25 May 2013, Xian, China, pp. 67-72. ISSN 2287-1233 (2013) [Refereed Conference Paper]

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Co-authors: Han SC; Mirowski L; Turner P

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2013Kang BH, Kim YS, Chen Z, Kim T, 'Detecting significant alarms using outlier detection algorithms', Proceedings of Interdisciplinary Research Theory and Technology conference (IRRT 2013), 21-23 November 2013, Jeju Island, Korea, pp. 1-8. ISSN 2287-1233 (2013) [Refereed Conference Paper]

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Co-authors: Kim YS; Chen Z

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2013Xu S, Liu Y, Kang B-H, Gao W, 'A machine learning approach for modeling and its applications', Proceedings of the European Modeling and Simulation Symposium, 25-27 September, 2013, Athens, Greece, pp. 659-663. ISBN 978-88-97999-16-4 (2013) [Refereed Conference Paper]

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Co-authors: Xu S

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2012Chen Zhao, Shahriar MS, Kang BH, 'User-centric recommendation-based approximate information retrieval from marine sensor data', Proceedings of the12th Pacific Rim Knowledge Acquisition Workshop, 5-6 September 2012, Kuching, Malaysia, pp. 58-72. ISBN 978-3-642-32541-0 (2012) [Refereed Conference Paper]

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Co-authors: Chen Zhao

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2012Han S, Kang BH, 'Identifying the relevance of Social Issues to a Target', Proceedings 2012 IEEE 19th International Conference on Web Services, 24-29 June 2012, Honolulu, Hawaii, pp. 666-667. ISBN 978-0-7695-4752-7 (2012) [Conference Extract]

DOI: 10.1109/ICWS.2012.102 [eCite] [Details]

Citations: Scopus - 8

Co-authors: Han S

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2012Han SC, Chung H, Kang BH, 'It is time to prepare for the future: forecasting social trends', Proceedings of International Conferences EL, DTA and UNESST 2012 (Computer Applications for Database, Education, and Ubiquitous Computing), 16-19 December 2012, Gangneug, Korea, pp. 325-331. ISBN 978-3-642-35602-5 (2012) [Refereed Conference Paper]

DOI: 10.1007/978-3-642-35603-2 [eCite] [Details]

Co-authors: Han SC; Chung H

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2012Kim TH, Mohammed S, Ramos C, Abawajy JA, Kang BH, et al., 'Proceedings Computer Applciations for Web, Human Computer Interaction, Signal and Image Processing, and Pattern Recognition', Springer Verlag, 28 November - 2 December 2012, Jeju Island, Korea ISBN 978-3-642-35269-0 (2012) [Conference Edited]

DOI: 10.1007/978-3-642-35270-6 [eCite] [Details]

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2012Kim TH, Ramos C, Abawajy J, Kang BH, Slezak D, et al., 'Computer Applications for Modeling, Simulation, and Automobile', Springer- Verlag, 28 November - 2 December 2102, Jeju Island, Korea ISBN 978-3-642-35248-5 (2012) [Conference Edited]

DOI: 10.1007/978-3-642-35248-5 [eCite] [Details]

Co-authors: Kim TH

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2012Kim YS, Compton P, Kang BH, 'Ripple-down rules with censored production rules', Proceedings of the Knowledge Management and Acquisition for Intelligent Systems (PKAW 2012), 5-6 September 2012, Kuching, Malaysia, pp. 175-187. ISBN 978-3-642-32540-3 (2012) [Refereed Conference Paper]

DOI: 10.1007/978-3-642-32541-0 [eCite] [Details]

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2012Kim YS, Kang BH, Ryu SH, Compton P, Han SC, et al., 'Crowd-sourced knowledge bases', Proceedings of the12th Pacific Rim Knowledge Acquisition Workshop, 5-6 September 2012, Kuching, Malaysia, pp. 258-271. ISBN 978-3-642-32541-0 (2012) [Refereed Conference Paper]

DOI: 10.1007/978-3-642-32541-0_23 [eCite] [Details]

Co-authors: Han SC

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2012Kocaguneli E, Menzies T, Hihn J, Kang BH, 'Size doesn't matter? On the value of software size features for effort estimation', Proceedings of the 8th International Conference on Predictive Models in Software, 21-22 September 2012, Lund, Sweden, pp. 89-98. ISBN 978-1-4503-1241-7 (2012) [Refereed Conference Paper]

DOI: 10.1145/2365324.2365336 [eCite] [Details]

Citations: Scopus - 9

Co-authors: Menzies T

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2012Richards DP, Kang BH, 'Knowledge Management and Acquisition for Intelligent Systems (PKAW2012)', Springer- Verlag, 5-6 September 2012, Kuching, Malaysia ISBN 978-3-642-32540-3 (2012) [Conference Edited]

DOI: 10.1007/978-3-642-32541-0 [eCite] [Details]

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2012Yoon HG, Han S, Kang BH, Park SB, 'V & V to use agile approach in ES development: Why RDR works for expert system developments!', Proceedings the International Conferences, ASEA and DRBC 2012, 28 November - 2 December 2012, Jeju Island, Korea, pp. 113-120. ISBN 978-3-642-35266-9 (2012) [Refereed Conference Paper]

DOI: 10.1007/978-3-642-35267-6 [eCite] [Details]

Co-authors: Han S

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2011Bindoff I, Kang BH, 'Applying Multiple Classification Ripple Round Rules to a Complex Configuration Task', Lecture Notes in Artificial Intelligence - Proceedings of AI 2011: Advances in Artificial Intelligence, 5-8 December 2011, Perth, Australia, pp. 481-490. ISBN 978-3-642-25832-9 (2011) [Refereed Conference Paper]

DOI: 10.1007/978-3-642-25832-9 [eCite] [Details]

Co-authors: Bindoff I

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2011Kim TH, Adeli H, Cho H, Gervasi O, Yau SS, et al., 'Proceedings for Grid & Distributed Computing (GDC 2011)', Springer- Verlag, 8-10 December 2011, Jeju Island, Korea, pp. 613. ISBN 978-3-642-27179-3 (2011) [Conference Edited]

DOI: 10.1007/978-3-642-27180-9 [eCite] [Details]

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2011Kim TH, Adeli H, Grosky WI, Pissinou N, Shih TK, et al., 'Proceedings of Multimedia, Computer Graphics and Broadcasting', Springer- Verlag, 8-10 December 2011, Jeju Island, Korea, pp. 397. ISBN 978-3-642-27185-4 (2011) [Conference Edited]

DOI: 10.1007/978-3-642-27186-1 [eCite] [Details]

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2011Kim TH, Adeli H, Grosky WI, Pissinou N, Shih TK, et al., 'Communications in Computer and Information Science - Multimedia, Computer Graphics and Broadcasting', Springer- Verlag, 8-10 December 2011, Jeju Island, Korea, pp. 355. ISBN 978-3-642-27203-5 (2011) [Conference Edited]

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2011Kim TH, Adeli H, Kim HK, Kang HJ, Kim KJ, et al., 'Proceedings Communication in Computer and Information Science - Software Engineering, Business Continuity and Education', Springer- Verlag, 8-10 December 2011, Jeju Island, Korea, pp. 715. ISBN 978-3-642-27206-6 (2011) [Conference Edited]

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2011Kim TH, Adeli H, Ma J, Fang W, Kang BH, et al., 'Proceedings of U- and E-Service, Science and Technology (UNESST 2011)', Springer- Verlag, 8-10 December 2011, Jeju Island, Korea, pp. 347. ISBN 978-3-642-27209-7 (2011) [Conference Edited]

DOI: 10.1007/978-3-642-27210-3 [eCite] [Details]

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2011Kim TH, Adeli H, Stoica A, Kang BH, 'Proceedings of Control and Automation, and Energy System Engineering', Springer- Verlag, 8-10 December 2011, Jeju Island, Korea, pp. 391. ISBN 978-3-642-26009-4 (2011) [Conference Edited]

DOI: 10.1007/978-3-642-26010-0 [eCite] [Details]

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2011Ling TR, Kang BH, Walls JT, Johns DP, 'Dataset-based validation in MCRDR', The First Australian Workshop on Artificial Intelligence in Health, 5 Dec, Perth, WA (2011) [Conference Extract]

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Co-authors: Ling TR; Walls JT; Johns DP

2011Pho H, Han SC, Kang BH, 'Emergency-Affected Population Identification and Notification by Using Online Social Networks', Software Engineering, Business Continuity, and Education - Proceedings of the 2011 International Conference on Advanced Software Engineering and Its Applications (ASEA 2011), 8-10 December 2011, Jeju Island, Korea, pp. 541-550. ISBN 978-3-642-27207-3 (2011) [Refereed Conference Paper]

DOI: 10.1007/978-3-642-27207-3_59 [eCite] [Details]

Citations: Scopus - 1

Co-authors: Han SC

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2010Bindoff IK, Kang BH, 'Simulated Assessment of Ripple Round Rules', Knowledge Management and Acquisition for Smart Systems and Services, 20 Aug-3 Sept 2010, Daegu, Korea, pp. 180-194. ISBN 978-3-642-15036-4 (2010) [Refereed Conference Paper]

DOI: 10.1007/978-3-642-15037-1_16 [eCite] [Details]

Co-authors: Bindoff IK

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2010Chang CM, Vasilakos T, Das P, Kim TH, Kang BH, et al., 'Proceedings Advanced Communication and Networking (ACN2010)', Springer-Verlag, 23-25 June 2010, Miyazaki, Japan, pp. 1. ISBN 3-642-13404-1 (2010) [Conference Edited]

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Co-authors: Kim TH

2010Dazeley R, Yearwood JL, Kang BH, Kelarev AHJ, 'Consensus Clustering and Supervised Classification for Profiling Phishing Emails in Internet Commerce Security', Knowledge Management and Acquisition for Smart Systems and Services, 20 Aug - 3 Sept 2010, Daegu, Korea, pp. 235-246. ISBN 978-3-642-15036-4 (2010) [Refereed Conference Paper]

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2010Guo W, Kim YS, Kang BH, 'Webpage segments classification with incremental knowledge acquisition', U- and E-Service, Science and Technology U- and E-Service, Science and Technology, 13-15 December 2010, Jeju Island, Korea, pp. 79-87. ISBN 978-3-642-17643-2 (2010) [Refereed Conference Paper]

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2010Kang BH, Richards D, 'Proceedings - 11th International Workshop, PKAW 2010', Springer-Verlag, 20 Aug-3 Sept 2010, Daegu, Korea, pp. 1-324. ISBN 3-642-15036-5 (2010) [Conference Edited]

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2010Kim S, Jung S, Song J, Kang BH, 'Context-aware based efficient raining system using augmented reality and gravity sensor for healthcare services', Advanced Computer Science and Information Technology , 23-25 June 2010, Miyazaki, Japan, pp. 65-71. ISBN 978-3-642-13345-9 (2010) [Refereed Conference Paper]

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2010Kim TH, Lee Y, Kang BH, Slezak D, 'Lecture Notes in Computer Science 6485 Future Generation Information Technology', Springer-Verlag, 13-15 December 2010, Jeju Island, Korea, pp. 1-755. ISBN 3-642-17568-6 (2010) [Conference Edited]

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Co-authors: Kim TH

2010Kim TH, Ma J, Fang W, Park B, Kang BH, et al., 'Proceedings U- and E- Service, Science and Technology', Springer-Verlag, 13-15 December 2010, Jeju Island, Korea, pp. 1. ISBN 3-642-17643-7 (2010) [Conference Edited]

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Co-authors: Kim TH

2010Kim TH, Yau S, Gervasi O, Kang BH, Stoica A, et al., 'Proceedings Grid and Distributed Computing 2010', Springer-Verlag, 13-15 December 2010, Jeju Island, Korea, pp. 1. ISBN 3-642-17624-0 (2010) [Conference Edited]

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Co-authors: Kim TH

2010Zhang M, Kang BH, Bai Q, 'Association rule based situation awareness in web-based environmental monitoring systems', U- and E-Service, Science and Technology, 13-15 December 2010, Jeju Island, Korea, pp. 224-232. ISBN 978-3-642-17643-2 (2010) [Refereed Conference Paper]

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2009Foo WM, Fan B, Kang BH, 'Domain modelling of server monitoring system using MCRDR', AISAT 2009 The 3rd International Workshop on Artificial Intelligence in Science and Technology, 23-24 November 2009, Hobart Tasmania EJ ISBN 978-1-86295-550-9 (2009) [Refereed Conference Paper]

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Co-authors: Fan B

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2009Glina EM, Kang BH, 'Conversation system with state information', AISAT 2009 The 3rd International Workshop on Artificial Intelligence in Science and Technology , 23-24 November 2009, Hobart Tasmania, pp. 1-5. ISBN 978-1-86295-550-9 (2009) [Refereed Conference Paper]

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Co-authors: Glina EM

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2009Kang BH, Kim YS, 'Monitoring web resources discovery by reusing classification knowledge', Proceedings Social Computing and Behavioural Modeling, 31 March -1 April 2009, Phoenix, Arizona EJ ISBN 978-1-4419-0055-5 (2009) [Refereed Conference Paper]

DOI: 10.1007/978-1-4419-0056-2 [eCite] [Details]

Co-authors: Kim YS

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2009Kim YS, Kang SW, Kang BH, Compton PH, 'Using knowledge base for event-driven scheduling of web monitoring systems', Proceedings of E-Commerce and Web Technologies (EC-Web 2009), 1-4 September , Linz, Austria, pp. 169-180. ISBN 978-3-642-03963-8 (2009) [Refereed Conference Paper]

DOI: 10.1007/978-3-642-03964-5_17 [eCite] [Details]

Co-authors: Kim YS

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2009Ling TR, Kang BH, Walls JT, Johns DP, 'Discovering Knowledge through Compiling Expertise', Communications in Computer and Information Science, Jeju Island, Korea ISBN 978-3-642-10615-6 (2009) [Conference Extract]

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Co-authors: Ling TR; Walls JT; Johns DP

2009Slezak D, Kim TH, Ma J, Fang WC, Sandes FE, et al., 'Proceedings of U- and E-Service, Science and Technology', Springer-Verlag, 10-12 December 2009, Jeju Island, Korea ISBN 978-3-642-10579-1 (2009) [Conference Edited]

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Co-authors: Kim TH

2009Slezak D, Kim TH, Stoica A, Kang BH, 'Proceedings of International Conference on Control and Automation CA 2009', Springer-Verlag, 10-12 December 2009, Jeju Island, Korea ISBN 978-3-642-10742-9 (2009) [Conference Edited]

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Co-authors: Kim TH

2009Srivastava PR, Ray M, Dermoudy J, Kang BH, Kim TH, 'Test case minimization and prioritization using CMIMX technique', Proceedings of the International Conference on Advanced Software Engineering and Its Applications, 10-12 December 2009, Jeju Island, Korea, pp. 25-33. ISBN 978-3-642-10618-7 (2009) [Refereed Conference Paper]

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Co-authors: Dermoudy J

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2009Yearwood JL, Kang BH, Kelarev A, 'Experimental investigation of three machine learning algorithms for ITS dataset', Proceedings of Future Generation Information Technology, 10-12 December 2009, Jeju Island, Korea, pp. 308-316. ISBN 978-3-642-10508-1 (2009) [Refereed Conference Paper]

DOI: 10.1007/978-3-642-10509-8 [eCite] [Details]

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2008Bindoff IK, Ling TR, Kang BH, 'Multiple classification ripple round rules: a preliminary study', Proceedings PKAW-08 Pacific Rim Knowledge Aquisition workshop 2008, December 2008, Hanoi, Vietnam, pp. 144-158. ISBN 978-1-86295-486-1 (2008) [Refereed Conference Paper]

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Co-authors: Bindoff IK; Ling TR

2008Chui FCH, Bindoff IK, Williams RN, Kang BH, 'Feature extraction for classification from images: a look at the retina', Proceedings of 2008 International Symposium on Ubiquitous Multimedia Computing, 13-15 October, 2008, Hobart, Tasmania, pp. 93-98. ISBN 978-0-7695-3427-5 (2008) [Refereed Conference Paper]

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Co-authors: Bindoff IK; Williams RN

2008Compton PH, Kang BH, Martinez-Bejar R, Rudrapatna MT, Sowmya A, 'Situated cognition in the semantic web era', Knowledge Engineering: Practice and Patterns 16th International Conference, EKAW 2008, 29 Sept-2 Oct 2008, Acitrezza, Italy, pp. 374-387. ISBN 3-540-87695-2 (2008) [Refereed Conference Paper]

DOI: 10.1007/978-3-540-87696-0 [eCite] [Details]

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2008D'Este CE, Reid D, Kang BH, 'A robotic interface to a medication review expert system', Proceedings of 2008 International Symposium on Ubiquitous Multimedia Computing, 13-15 October 2008, Hobart, Tasmania, pp. 145-150. ISBN 978-0-7695-3427-5 (2008) [Refereed Conference Paper]

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Co-authors: D'Este CE

2008Dazeley R, Kang BH, 'Detecting the knowledge boundary with prudence analysis', AI 2008: Advances in Artificial Intelligence 21st Australasian Joint Conference on Artificial Intelligence, 1-5 December 2008, Auckland, New Zealand, pp. 482-488. ISBN 3-540-89377-6 (2008) [Refereed Conference Paper]

DOI: 10.1007/978-3-540-89378-3_49 [eCite] [Details]

Citations: Scopus - 4

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2008Dazeley R, Kang BH, 'An approach for generalising symbolic knowledge', Proceedings of the 2008 Advances in Artificial Intelligence/21st Australasian Joint Conference on Artificial Intelligence, 1-5 December 2008, Auckland, New Zealand, pp. 379-385. ISBN 3-540-89377-6 (2008) [Refereed Conference Paper]

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2008Dazely R, Kang BH, 'Prediction using a symbolic based hybrid system', Proceedings of PKAW-08 Pacific Rim Knowledge Acquisition Workshop 2008, December 2008, Hanoi, Vietnam, pp. 136-143. ISBN 978-1-86295-486-1 (2008) [Refereed Conference Paper]

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2008Dazely R, Kang BH, 'The viability of prudence analysis', Proceedings of PKAW-08 Pacific Rim Knowledge Acquisition Workshop 2008, December 2008, Hanoi, Vietnam, pp. 107-121. ISBN 978-1-86295-486-1 (2008) [Refereed Conference Paper]

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2008Kang BH, 'Program Chair CFP: Ubiquitous Multimedia Computing (UMC-08)', Proceedings of 2008 International Symposium on Ubiquitous Multimedia Computing, 14-16 October 2008, Hobart, Australia ISBN 978-0-7695-3427-5 (2008) [Chair International Conference]

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2008Kang BH, 'Incremental learning method in traffic anomaly detection systems', Proceedings of the 2nd International Conference on Information Security and Assurance (ISA 2008), 24-26 April 2008, Busan, Korea EJ ISBN 978-0-7695-3126-7 (2008) [Conference Extract]

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2008Kim SK, Song JG, Kang BH, Kim TH, Park GC, et al., 'SDesign of mobile u-healthcare service system', Proceedings of International Symposium on Computer Science and its Applications 2008, 13-15 October 2008, Hobart, Tasmania, pp. 383-386. ISBN 978-0-7695-3428-2 (2008) [Refereed Conference Paper]

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2008Kim YS, Kang BH, 'Search query generation with MCRDR document classification knowledge', Knowledge Engineering: Practice and Patterns 16th International Conference, EKAW 2008, 29 Sep - 2 Oct 2008, Acitrezza, Italy, pp. 292-301. ISBN 3-540-87695-2 (2008) [Refereed Conference Paper]

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Co-authors: Kim YS

2008Kim YS, Kang BH, 'A study on monitoring web page locating heuristics', Proceedings of the 2008 International Conference on Information & Knowledge Engineering, 14-17 July 2008, Las Vegas, Nevada, pp. 383-389. ISBN 1-60132-075-2 (2008) [Refereed Conference Paper]

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Co-authors: Kim YS

2008Kim YS, Lee SK, Kang BH, Williams RN, 'Coverage and delay forecast modeling of search engine services', Proceedings of PKAW-08 Pacific Rim Knowledge Acquisition Workshop 2008, December 2008, Hanoi, Vietnam, pp. 62-73. ISBN 978-1-86295-486-1 (2008) [Refereed Conference Paper]

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Co-authors: Kim YS; Williams RN

2008Ling TR, Kang BH, Johns DP, Walls JT, Bindoff IK, 'Expert-driven knowledge discovery', Proceedings of the 5th International Conference on Information Technology - New Generations, 7-9 April 2008, Las Vegas, Nevada, pp. 174-178. ISBN 978-0-7695-3099-4 (2008) [Refereed Conference Paper]

DOI: 10.1109/ITNG.2008.194 [eCite] [Details]

Citations: Scopus - 7Web of Science - 5

Co-authors: Ling TR; Johns DP; Walls JT; Bindoff IK

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2008Park MD, Jin SJ, Hofstetter R, Xu M, Kang BH, 'Automatic colonic polyp detection by the mapping using regional unit sphere', Proceedings 2008 International Conference on Multimedia and Ubiquitous Engineering MUE 2008, 24-26 April 2008, Busan, Korea, pp. 144-149. ISBN 0-7695-3134-2 (2008) [Refereed Conference Paper]

DOI: 10.1109/MUE.2008.93 [eCite] [Details]

Citations: Scopus - 3

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2008Yearwood JL, Kang BH, Kelarev AV, 'Experimental investigation of classification algorithms for ITS dataset', Proceedings of PKAW-08 Pacific Rim Knowledge Acquisition Workshop 2008, December 2008, Hanoi, Vietnam, pp. 262-272. ISBN 978-1-86295-486-1 (2008) [Refereed Conference Paper]

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2007Bindoff IK, Kang BH, Ling TR, Tenni PC, Peterson GM, 'Applying MCRDR to a Multidisciplinary Domain', AI 2007: Advances in Artificial Intelligence 20th Australian Joint Conference on Artificial Intelligence, 2-6 December 2007, Gold Coast , Australia, pp. 519-528. ISBN 3-540-76926-9 (2007) [Refereed Conference Paper]

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Co-authors: Bindoff IK; Ling TR; Tenni PC; Peterson GM

2007Kang BH, Kim YS, Choi YJ, 'Does Multi-user Document Classification Really Help Knowledge Management?', AI 2007: Advances in Artificial Intelligence 20th Australian Joint Conference on Artificial Intelligence, 2-6 December 2007, Gold Coast, Australia, pp. 327-336. ISBN 3-540-76926-9 (2007) [Refereed Conference Paper]

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Co-authors: Kim YS; Choi YJ

2007Kim YS, Kang BH, 'Coverage and Timeliness Analysis of Search Engines with Webpage Monitoring Results', Proceedings of 8th International Conference on Web Information Systems Engineering, 3-7 December 2007, Nancy, France, pp. 361-372. ISBN 978-3-540-76992-7 (2007) [Refereed Conference Paper]

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Co-authors: Kim YS

2007Kim YS, Kang BH, Compton P, 'Search Engine Retrieval of Changing Information', Proceedings of the Sixteenth International World Wide Web Conference (WWW2007), 8-12 may 2007, Banff, Alberta, Canada, pp. 1195-1196. (2007) [Conference Extract]

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Co-authors: Kim YS

2007Ling TR, Johns DP, Kang BH, Walls JT, Park GC, 'Knowledge discovery via incremental learning', Proceedings of the Frontiers in the Convergence of Bioscience and Information Technology, October 2007, Korea, pp. 353-357. (2007) [Refereed Conference Paper]

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Co-authors: Ling TR; Johns DP; Walls JT

2007Ling TR, Kang BH, Walls JT, Johns DP, 'Discovering lung function patterns using expert systems technology', Respirology, 30 Nov - 4 Dec, Gold Coast, pp. A237. (2007) [Conference Extract]

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Co-authors: Ling TR; Walls JT; Johns DP

2007Min KH, Wilson WH, Kang BH, 'Effectiveness of Methods for Syntactic and Semantic Recognition of Numeral Strings: Tradeoffs Between Number of Features and Length of Word N-Grams', AI 2007: Advances in Artificial Intelligence 20th Australian Joint Conference on Artificial Intelligence, 2-6 December 2007, Gold Coast, Australia, pp. 445-455. ISBN 3-540-76926-9 (2007) [Refereed Conference Paper]

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2007Zehmeister MS, Kim YS, Kang BH, 'An Illumination Identification System for the AIBO Robot', Proceedings of the 2007 International Conference on Multimedia and Ubiquitous Engineering, 26-28 April 2007, Seoul, Korea, pp. 837-842. ISBN 0-7695-2777-9 (2007) [Refereed Conference Paper]

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Co-authors: Kim YS

2006Bindoff IK, Tenni PC, Kang BH, Peterson GM, 'Intelligent decision support for medication review', Advances in Knowledge Acquisition and Management, 7-8 August 2006, Guilin, China, pp. 120-131. ISBN 3-540-68955-9 (2006) [Refereed Conference Paper]

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Co-authors: Bindoff IK; Tenni PC; Peterson GM

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2006Everts TJ, Park S, Kang BH, 'Using Formal Concept Analysis with an Incremental Knowledge Acquistition System for Web Document Management', Proceedings of the 29th Australasian Computer Science Conference, 16-19 January 2006, Hobart, Australia, pp. 247-256. ISBN 1-920-68230-9 (2006) [Refereed Conference Paper]

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Co-authors: Everts TJ; Park S

2006Hofmann A, Kang BH, Richards D, Tsumoto S, 'Proceedings - Advances in Knowledge Acquisition and Management', Springer-Verlag , 7-8 August 2006, Guilin, China, pp. all. ISBN 978-3-540-68955-3 (2006) [Conference Edited]

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2006Kang BH, Kelarev AV, Sale AHJ, Williams RN, 'A New Model for Classifying DNA Code Inspired by Neural Networks and FSA', Advances in Knowledge Acquisition and Management, 7-8 August 2006, Guilin, China, pp. 187-198. ISBN 3-540-68955-9 (2006) [Refereed Conference Paper]

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Co-authors: Kelarev AV; Sale AHJ; Williams RN

2006Kang BH, Kim YS, 'Noise Elimination from the Web Documents by Using URL paths and Information Redundancy', Proceedings of the 2006 International Conference on Information & Knowledge Engineering, 26-29 June 2006, Las Vegas, USA, pp. 135-141. ISBN 1-60132-003-5 (2006) [Refereed Conference Paper]

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Co-authors: Kim YS

2006Kelarev AV, Kang BH, Sale AHJ, Williams RN, 'Labeled directed graphs and FSA as classifiers of strings', Proceedings of the 17th Australasian Workshop on Combinatorial Algorithms, 13-16 July 2006, Uluru, Northern Territory, pp. 93-109. ISBN 0 64 646310 1 (2006) [Refereed Conference Paper]

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Co-authors: Kelarev AV; Sale AHJ; Williams RN

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2006Kelarev AV, Kang BH, Steane DA, 'Clustering Algorithms for ITS Sequence Data with Alignment Metrics', AI 2006: Advances in Artificial Intelligence 19th Australian Joint Conference on Artificial Intelligence, 4-8 December, 2006, Hobart, Tasmania, pp. 1027-1031. ISBN 3-540-49787-0 (2006) [Refereed Conference Paper]

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Co-authors: Kelarev AV; Steane DA

2006Kim YS, Kang BH, Choi YJ, Park S, Park GC, et al., 'User Behavior Analysis of the Open-Ended Document Classification System', AI 2006: Advances in Artificial Intelligence 19th Australian Joint Conference on Artificial Intelligence, 4-8 December 2006, Hobart, Tasmania, pp. 1089-1095. ISBN 3-540-49787-0 (2006) [Refereed Conference Paper]

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Co-authors: Kim YS; Choi YJ; Park S

2006Park GC, Kim SS, Bae GT, Kim YS, Kang BH, 'An Automated WSDL Generation and Enhanced SOAP Message Processing System for Mobile Web Services', Proceedings of the Third International Conference on Information Technology: New Generations, 10 -12 April 2006, Las Vegas, Nevada, pp. 382-387. ISBN 0-7695-2497-4 (2006) [Refereed Conference Paper]

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Co-authors: Kim YS

2006Sattar A, Kang BH, 'AI2006: Advances in Artificial Intelligence', Springer-Verlag , 4-8 December 2006, Hobart, Tasmania, pp. all. ISBN 3-540-49787-0 (2006) [Conference Edited]

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2005Churcharoenkrung N, Kim YS, Kang BH, 'Dynamic Web Content Filtering based on User's Knowledge', Proceedings ITCC 2005, 4-6 April 2005, Las Vegas, Nevada, pp. 184-188. ISBN 0-7695-2315-3 (2005) [Refereed Conference Paper]

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Co-authors: Kim YS

2005Mohd Taib S, Yeom SJ, Kang BH, 'Elimination of Redundant Information for Web Data Mining', Proceedings ITCC 2005, 4-6 April 2005, Las Vegas, Nevada, pp. 200-205. ISBN 0-7695-2315-3 (2005) [Refereed Conference Paper]

DOI: 10.1109/ITCC.2005.143 [eCite] [Details]

Citations: Web of Science - 1

Co-authors: Mohd Taib S; Yeom SJ

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2005Park S, Kim YS, Park G, Kang BH, Compton P, 'Automated Information Mediator for HTML and XML Based Web Information Delivery Service', AI 2005 : advances in artificial intelligence : 18th Australian Joint Conference on Artificial Intelligence, December 2005, Sydney, pp. 401-404. ISBN 3-540 30462 2 (2005) [Refereed Conference Paper]

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Co-authors: Park S; Kim YS

2005Park S, Kim YS, Park GC, Kang BH, Compton P, 'Automated Information Mediator for HTML and XML Based Web Information Delivery Service', 18th Australian Joint Conference on Artificial Intelligence , December 2005, Sydney, pp. 401-404. ISBN 3-540-30462-2 (2005) [Refereed Conference Paper]

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Co-authors: Park S; Kim YS

2004Dazeley RP, Kang BH, 'Detecting the Knowledge Frontier: An Error Predicting Knowledge Based System', Proceedings of the Pacific Knowledge Acquisition Workshop 2004 Part of, The Eight Pacific Rim International Conference on Artifical Intelligence , 9th - 13th August 2004, Auckland, New Zealand, pp. 241-253. ISBN 1-877314-34-X (2004) [Refereed Conference Paper]

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Co-authors: Dazeley RP

2004Dazeley RP, Kang BH, 'An Online Classification and Prediction Hybrid System for Knowledge Discovery in Databases', Proceedings AISAT 2004 The 2nd International Conference on Artificial Intelligence in Science and Technology, 21-25 November 2004, Hobart, Tasmania, pp. 114-119. ISBN 1 86295 209 4 (2004) [Refereed Conference Paper]

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Co-authors: Dazeley RP

2004Dazeley RP, Kang BH, 'An Augmentation Hybrid System for Document Classification and Rating', Proceedings PRICAI 2004, 9-13 August, 2004, Auckland, New Zealand, pp. 985-986. ISBN 3-540-22817-9 (2004) [Conference Extract]

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Co-authors: Dazeley RP

2004Kang BH, 'Proceedings of the Pacific Knowledge Acquisition Workshop 2004', Springer-Verlag, 9-13 August 2004, Auckland, New Zealand, pp. all. ISBN 3-540-22817-9 (2004) [Conference Edited]

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2004Kang BH, 'Pacific Knowledge Acquisition Workshop', The Eighth pacific Rim International Conference on Artificial Intelligence, 9-13 August, 2004, Auckland, New Zealand ISBN 3-540-22817-9 (2004) [Chair International Conference]

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2004Kim YS, Park S, Deards EA, Kang BH, 'Adaptive Web Document Classification with MCRDR', Proceedings International Conference on Information Technology, April 5-7, 2004, Las Vegas, Nevada, pp. 476-480. ISBN 0-7695-2108-8 (2004) [Refereed Conference Paper]

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Co-authors: Kim YS; Park S; Deards EA

2004Kim YS, Park S, Kang BH, Choi YJ, 'Incremental Knowledge Management of Web Community Groups on Web Portals', Proceedings 5th International Conference, PAKM 2004, 2-3 December, 2004, Vienna, Austria, pp. 198-207. ISBN 3540305459 (2004) [Refereed Conference Paper]

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Co-authors: Kim YS; Park S; Choi YJ

2004Lee KH, Kang BH, 'A New Framework for Uncertainty Sampling: Exploiting Uncertain and Positive-Certain Examples in Similarity-Based Text Classification', Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC2004), April 5-7, 2004, Las Vegas, Nevada EJ (2004) [Refereed Conference Paper]

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2004Mak PP, Kang BH, Sammut C, Kadous W, 'Knowledge Acquisition Module for Conversational Agents', Proceedings of the Pacific Knowledge Acquisition Workshop 2004 Part of, The Eight Pacific Rim International Conference on Artificial Intelligence , 9-13 August, 2004, Auckland, New Zealand, pp. 54-62. ISBN 9783540228172 (2004) [Refereed Conference Paper]

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Co-authors: Mak PP

2004Park S, Kim YS, Kang BH, 'Personalized Web Document Classification using MCRDR', Proceedings of The Pacific Knowledge Acquisition Workshop 2004 Part of, The Eight Pacific Rim International Conference on Artificial Intelligence, August 9-10, 2004, Auckland, New Zealand, pp. 63-73. ISBN 1 -877314-34-X (2004) [Refereed Conference Paper]

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Co-authors: Park S; Kim YS

2004Park S, Kim YS, Kang BH, 'Web Document Classification: Managing Context Change', Proceedings of the IADIS International Conferrence WWW/INternet 2004, 6-9 Ocotober 2004, Madrid, Spain, pp. 143-151. ISBN 972-99353-0-0 (2004) [Refereed Conference Paper]

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Co-authors: Park S; Kim YS

2003Dazeley RP, Kang BH, 'Weighted MCRDR: Deriving Information about Relationships between Classifications in MCRDR', AI 2003: Advances in Artificial Intelligence, December, 2003, Perth WA, pp. 245-255. ISBN 3-540-20646-9 (2003) [Refereed Conference Paper]

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Co-authors: Dazeley RP

2003Dazeley RP, Kang BH, 'Rated MCRDR: Finding non-Linear Relationships Between Classifications in MCRDR', Frontiers in Artificial Intelligence Applications, 14-17 December 2003, Melbourne, Victoria, pp. 499- 508. ISBN 1 58603 394 8 (2003) [Refereed Conference Paper]

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Co-authors: Dazeley RP

2003Kim YS, Park S, Kang BH, 'Using Multiple Classification Ripple Down Rules for Intelligent Tutoring System's Knowledge Acquisition', AI 2003: Advances in Artificial Intelligence, December 3-5, 2003, Perth. WA, pp. 511-519. ISBN 3-540-20646-9 (2003) [Refereed Conference Paper]

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Co-authors: Kim YS; Park S

2003Lee KH, Kay J, Kang BH, 'Active Learning: Applying RinSCut Thresholding Strategy to Uncertainty Sampling', AI 2003: Advances in Artificial Intelligence, December 3-5, 2003, Perth, WA, pp. 922-932. ISBN 3-540-20646-9 (2003) [Refereed Conference Paper]

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2003Mak PP, Kang BH, 'Framework for Knowledge Acquisition within Conversational Agents', Proceedings of the 2003 Annual Smart Internet Technology CRC Conference, 18-19 September 2003, Sydney, Aust, pp. 109-113. (2003) [Non Refereed Conference Paper]

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Co-authors: Mak PP

2003Park S, Kim YS, Kang BH, 'Web Information Management System: Personalization and Generalization', Proceedings of the IADIS International Conference WWW/Internet 2003, 5-8 November 2003, Algarve, Portugal, pp. 523-530. ISBN 972-98947-1-X (2003) [Refereed Conference Paper]

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Co-authors: Park S; Kim YS

2002Lee K, Kay J, Kang BH, 'KAN and RinSCut: Lazy Linear Classifier and Rank-in-Score Threshold in Similarity-Based Text Categorization', Proceedings of ICML-2002 Workshop on Text Learning, 8-12 July 2002, University of New South Wales, Sydney, Australia , pp. 36-43. ISBN 0 7334 1932 1 (2002) [Refereed Conference Paper]

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2002Lee KH, Kay J, Kang BH, Rosebrock U, 'A Comparative Study on Statistical Machine Learning Algorithms and Thresholding Strategies for Automatic Text categorization', Proceedings / PRICAI 2002, August 18-22, 2002, Tokyo, Japan, pp. 444-453. ISBN 3-540-44038-0 (2002) [Refereed Conference Paper]

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Co-authors: Rosebrock U

2000Lee KH, Kay J, Kang BH, 'Keyword Association Network: A Statistical Multi-term Indexing Approach for Document Categorization', Proceedings of the Fifth Australasian Document Computing Symposium, 1 December 2000, Brisbane, Australia, pp. 9 - 16. ISBN 1 86499 4959 (2000) [Refereed Conference Paper]

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Contract Report, Consultant's Report

(2 outputs)
YearCitationAltmetrics
2022Kang B, Wei H, Jiang C, Harrison M, 'WaterCan Profit Mobile Device Application Based on Initial_Mockup_V1.1', Hobart, Tasmania (2022) [Consultants Report]

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Co-authors: Wei H; Jiang C; Harrison M

2019Chinthammit W, Osborn J, Widjojo E, Kang B, Stone C, et al., 'Enhanced forest inventory practice using immersive visualisation and measurement of dense point cloud data', Forest & Wood Products Australia, Australia. ISBN 978-1-920883-56-0, PNC464-1718 (2019) [Contract Report]

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Co-authors: Chinthammit W; Osborn J; Widjojo E

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Grants & Funding

Funding Summary

Number of grants

51

Total funding

$25,270,566

Projects

Virtual Database for Cloud-Based Data Services study (2023)$120,000
Description
The Australian Antarctic Data Centre (AADC) is managing an extensive amount of data collected from the Southern Ocean. The data are collected by different agencies and in various formats. To achieve better data management, discovery useful knowledge and provide accurate decision support, AADC seeks to increase the machine-readability of its data collections to facilitate data interoperability and integration, and to improve their usability for machine learning applications. This will require annotating data collections with machine-readable metadata describing data structures and meaning, and develop an effective automated metadata management mechanism, i.e., to develop a Virtual Database (VDB). This project will focus on building on technologies developed during the previous year to implement a functioning prototype system.The work will be divided into two principal goals:1.Develop a data management module called VDB that virtually centralises the AADCs data by providing comprehensive and consistent access to data via a secure abstraction layer. This layer can further participate as an API to support extended usability and services such as Analytics and Visualisation.2.Develop an AI-assisted meta-data management (MDM) component as an extension to VDB, which will provide a high-quality user experience for metadata entry. In addition, it will provide AI-driven assistance in identifying potential text entries to generate consistent metadata entries.
Funding
Australian Antarctic Division ($120,000)
Scheme
Contract Research
Administered By
University of Tasmania
Research Team
Kang BH; Bai Q; Amin M; Yang W
Year
2023
Agricultural Innovation Hubs Program (2022 - 2023)$2,499,999
Description
The University of Tasmania hosts one of eight Drought Resilience Adoption and Innovation Hubs established across Australia under the Commonwealth's Future Drought Fund. Hubs are intended to be enduring institutions. The current proposal is about the Commonwealth's call to expand the Hubs' remit to service four priority areas under the National Agricultural Innovation Agenda. If funded, the Hub in Tasmania will need to operate under two agreements: the current agreement for the 'Drought Hub' and a new agreement that is about developing the Hub's pathway to expansion, while continuing to deliver to the 'Drought Hub' under the current agreement. This proposal presents the Hub's Statement of Claims on its ability and commitment to deliver practical activities and a business case that supports the National Agricultural Innovation Agenda
Funding
Department of Agriculture Water and the Environment ($2,499,999)
Scheme
Agricultural Innovation Hubs Program
Administered By
University of Tasmania
Research Team
Knowles SG; Mohammed CL; Kumar S; Field B; Jones ME; Anders RJ; Higgins VJ; Bryant M; Gracie AJ; Wilson MD; Harrison MT; Jordan GJ; O'Reilly-Wapstra JM; Barmuta LA; Remenyi TA; Kang BH; Amin M; Fraser SP; Kilpatrick SI; Barnes NR; Beasy KM; Stoeckl NE; D'Alessandro SP; Tian J; Chuah S; Norris K; Ferguson SG; Auckland SRJ; Evans KJ
Period
2022 - 2023
Design of dynamics of interactive conversations in Virtual Reality for Soldier training (2022)$15,000
Description
Soldiers can be located in extreme environment and hazardous situations, and using VR associated with the conversation proves an extremely efficient way to train soldiers among various situations and environment, such as flight simulations, battlefield simulations, job training and etc. At present, most conversations embedded in virtual reality are typically structured interaction. This would allow conversations to take place and would be the normal method of communication. This form of conversation representation is restrictive, allowing for only a few predetermined responses to performing a few simple tasks. We can generalise these limitations in two prime categories. Firstly, lacks adaptive and dynamic conversation content. Predominantly automated conversations embedded into VR environment are driven by knowledge base (KB), which is typically developed with domain-specific requirements and assumptions that directly affect its architecture and implementation. Once knowledge base is developed it is not readily adaptable to other situations and scenarios. As the target of training keeps changing, conversations need to dynamically update. This cumbersome approach not only affects the overall efficiency of training or education but also majorly impacts the effectiveness, as the underlying engine fails to identify missing/required knowledge.Secondly a significant lack of relationship between conversational interface and knowledge. In the traditional approaches, there exists a clear separation between the knowledge and the inference of knowledge. This separation makes the knowledge generation on the fly a formidable task. Soldiers during training inevitably need to react based on conversation contents, so it should include behavioral abstractions rather than only information abstraction using natural language to impart their knowledge and train them in a highly effectual, seamless, efficient manner. These limitations provide an opportunity which motivates us to develop the next generation of conversation engine that is a cohesive unit of intelligent CLT (Control Language Interface) with assisted rule-based technology and adaptability at its core. The design of this conversation engine is intended to effectively identify the required knowledge for the soldiers while interacting and develop a broader range of contents with an agile delivery mechanism that can cater a wider scope defense situations and environment. We propose our approach that specifically addresses the above-mentioned limitations by targeting the following: 1.Identification of the missing/required knowledge of soldiers during VR military training to achieve personalized training. 2.Generation of interactive conversations based on multiple VR situations and environment. In our system, the interactive conversations will be dynamically changed and adaptive to various VR situations and environment. This unique and novel concept will enable the soldiers to invoke live knowledge generation during training as he/she explores additional information with experiences. Moreover, it will enhance and expand the core knowledge engine, by a wider range of contexts and their inter-matching connectivity to establish conversational flow in various domains of knowledge.
Funding
Defence Science Institute ($15,000)
Scheme
PhD Scholarship Fund
Administered By
University of Tasmania
Research Team
Kang BH; Chinthammit W; Yang W
Year
2022
Smelling soil: eNose development (TIA led) (2022 - 2024)$494,647
Description
This proposal continues the development of the soil health eNose that was initially funded by the Soil CRC for 21 months. The first project provided some evidence that the eNose detects signals from the soil that are related to soil biological activity. In this project the eNose device and associated data analytics will be further developed and tested against data collected in a currently funded TIA field site.
Funding
CRC for High Performance Soils Ltd ($494,647)
Scheme
Grant
Administered By
University of Tasmania
Research Team
Powell S; Mohammed CL; Hardie MA; Young P; Swarts ND; Kang BH; Cahoon SC; Edwards SJ
Period
2022 - 2024
Developing the tools and articulating the value proposition for genomic selection in Pacific oyster selective breeding (2022 - 2023)$370,969
Description
Genomic selection is a new applied breeding technology that is being used in commercial animal and plant breeding programwith significant, and times large, economic benefits. However, there are no commercial applications in oyster breeding. Genomic selection requiressignificant increase in costs due to the need to genotyping large numbers of individuals, and there are technical and logistical challenges in applying thitechnology to oyster breeding. This project is a preliminary step intended to demonstrate an economic cost benefit, evaluate genotyping toolsmethodology development, proof of conceptfor phenotyping, thereby providing information to assist a decision aboutmoving thisto operational breeding
Funding
Fisheries Research & Development Corporation ($370,969)
Scheme
Grant
Administered By
University of Tasmania
Research Team
Trotter AJ; Smith GG; Rust SA; Amin M; Maiti A; Kang BH; Garcia Lafuente JA
Period
2022 - 2023
Smart Operation of the Greyscan ETD 100 in Laboratory User Interface Mode (2021)$65,729
Description
he Chemical Criminalistics (CC) team at the Australian Federal Police (AFP) performs a range of examinations on chemical trace evidence to support numerous internal and external stakeholders. In addition to the traditional laboratory capabilities (using benchtop instruments), CC also provides a deployable capability, including portable identification instruments and a mobile laboratory. This function can be deployed locally, nationally and internationally and is particularly critical in the field of explosives analysis. Rapid deployments are often required in support of counter terrorism operations, where the CC team is able to conduct trace organic and trace inorganic explosive detection outside of the laboratory environment. The CC team acquired x2 GreyScan ETD-100 units in late 2019. The UTAS-based and Australian manufactured ETD-100 is the world's first automated explosive trace detection device designed to detect inorganic explosives based on nitrates, chlorates and perchlorates. The ETD-100 was designed to complement the current security screening technology at points-of entry such as airport checkpoints and aviation cargo screening. The CC team have undertaken an extensive validation of the ETD-100 and established a number of limitations in its current (security screening) end-user form. During the validation process, the CC team established that it was possible to adopt this new technology and make it more relevant to AFP forensic operations. In particular, it is possible to interface the ETD-100 with a laptop utilising a customised Laboratory User Interface. In this mode, the analyst is able to interrogate the data coming off the box to allow a more informed decision to be made (other than just the current PASS or WARNING screens). Further development is required to the interface to provide the analyst with the ability to detect and identify other relevant analytes of forensic interest other than the three currently programmed explosive ingredient targets (namely: nitrates, chlorates, perchlorates), which will be developed in this project. This enhanced capability is considered critical when undertaking chemical exploitation in support of the frontline response to explosive incidents and intelligence-led disruptions.
Funding
Australian Federal Police ($65,729)
Scheme
Contract Research
Administered By
University of Tasmania
Research Team
Breadmore MC; Kang BH; Amin M; Maiti A
Year
2021
Drought Resilience Tasmania - Actionable Knowledge and Solutions for Sustainable Prosperity (2021 - 2024)$9,530,969
Description
Water is a major asset for Tasmania linked to livelihoods, energy production, irrigated and rainfed agriculture, environmental management and conservation. Competing demands forwater intensify during droughts and as hot and dry years increase in number. Wise and fair water management requires a multi-stakeholder partnership to innovate for droughtresilience, optimal water management and self-reliance. Our Hub will enable drought preparedness in Tasmania through collective and co-designed actions that sustain Tasmania'shigh-value, clean, green international brand. We will engage with local knowledge and land stewardship through a deliberate and negotiated process and uphold the rights ofTasmanian Aboriginal people to benefit from innovations they enable. The Hub, for the first time, brings together the major players - farmers, land and water managers, researchers,and indigenous knowledge owners - who, together can reduce the risks associated with drought in Tasmania.
Funding
Department of Agriculture Water and the Environment ($9,530,969)
Scheme
Future Drought Fund
Administered By
University of Tasmania
Research Team
Knowles SG; Mohammed CL; Kumar S; Field B; Harris R; Jones ME; Anders RJ; Higgins VJ; Bryant M; Harrison MT; Gracie AJ; Wilson MD; Jordan GJ; O'Reilly-Wapstra JM; Barmuta LA; Remenyi TA; Kang BH; Amin M; Maiti A; Fraser SP; Kilpatrick SI; Barnes NR; Beasy KM; Coleman BJ; Stoeckl NE; D'Alessandro SP; Tian J; Chuah S; Norris K; Ferguson SG; Auckland SRJ; Evans KJ
Period
2021 - 2024
A Low Cost, Automated Data Collection and Defect Detection System for Paved Roads (2020 - 2023)$161,280
Description
Road networks play a crucial role in socioeconomic and regional development. Due to the rapid development of automobile manufacturing in the 20th century, individual transportation became available to the masses, as a result, the road networks experienced a rapid increase in usage. To assure ride safety the road networks need to be maintained at a desirable level.To maintain at a desirable level, roads are monitored by surveyors to capture the longitudinal and transverse profiles, and the condition of surface and edges. If detected, surface defects are assessed and if possible are either addressed on the spot or are assigned a priority rating for repair work. Clearly, such manual surveys are inherently inefficient, laborious and time-consuming.Therefore, there is need for a low cost road surface defect detection system that will be used frequently for not only the highways but also for the remaining part of the road network that often remains unattended due to high cost of the current solutions.The aim of this project is to develop an automated data collection and defect detection system for paved roads that has a low purchase, maintenance and operational cost.
Funding
ISW PTY LTD ($161,280)
Scheme
Contract Research
Administered By
University of Tasmania
Research Team
Ollington RB; Kang BH; Park M; Cao Z
Period
2020 - 2023
Operational Immersive Visualisation and Measurement of Dense Point Cloud Data in Forest Inventory (2020 - 2022)$280,000
Description
This project will provide operational methods and workflows to improve the accessibility by the forest grower section to VirtualReality (VR) visualisation and measurement of plot‐level point‐cloud data, progressing the VR approach reported in FWPA PNC464‐1718. The projectwill integrate automated individual tree profiles using Machine Learning (ML) techniques into the VR environment.
Funding
Forest & Wood Products Australia Limited ($270,000)
Scheme
Grant-Research and Development
Administered By
University of Tasmania
Research Team
Chinthammit W; Bryson M; Stone C; Cao Z; Kang BH
Period
2020 - 2022
Investigation into Dynamic Reallocation of Computing Resources (2020)$75,000
Description
The proposal for Whitepaper development project for Lockheed Martin Australia Attack Class Submarine Program EOI,FSP-CS-RT-80 Smart driven dynamic reallocation of computing resources based on compute demands
Funding
Lockheed Martin Australia Pty Ltd ($75,000)
Scheme
Future Submarine Program
Administered By
University of Tasmania
Research Team
Garg SK; Kang BH; Amin M; Bai Q
Year
2020
Tasmanian Wool SmartFarm (2020)$50,000
Description
This project will investigate the benefits to production and sustainability in the adoption and application of advanced management technologies (AMTs), such as the AWI SmartTags, in several high performing wool producing properties in Tasmania. The objective of this project is to (1) create national and global visibility of the on-farm adoption of AMTs, and (2) demonstrate the use of AMTs in supporting practices associated with high quality, sustainable and socially acceptable wool and sheep production systems. This phase 1 project will support a potentially longer-term commitment between contributing parties and broader collaboration with a range of supply chain stakeholders
Funding
Australian Wool Innovation Limited ($50,000)
Scheme
Grant-Research and Development Open Call
Administered By
University of Tasmania
Research Team
Horton BJ; Verdon MJ; Andrewartha SJ; Kang BH; Cao Z; Chinthammit W; Bailey AN
Year
2020
'Smart' soil sensors (2019 - 2021)$1,520,001
Description
This project research and develop four enabling and prototype Agricultural technologies required to produce the next generation of soil sensors. These technologies have been identified by growers and endorsed by CRC partners, they include; * The 'Smart' Shovel: integration of moisture and compaction sensors into a shovel design with auto mapping procedures to enable growers to visualize spatial variations in soil properties using a hand held device * Below Ground Data Transmission, to wirelessly send data from completely sensors thus avoiding issues with infield equipment, stock and vehicle damage, using low power wide area telecommunications (i.e. LoRa). * Self-learning moisture sensors, using machine learning we will develop the ability to determine the soil water limits and APSIM soil parameters from existing soil moisture sensors. The project is a strategic collaboration between TIA, SenseT and ICt to built Agtech research and development capacity in UTAS.
Funding
CRC for High Performance Soils Ltd ($1,520,001)
Scheme
Grant
Administered By
University of Tasmania
Research Team
Hardie MA; Cahoon SC; Edwards SJ; Gillespie WJ; Manion MJ; Kang BH; Mohammed CL; Ballard RWJ
Period
2019 - 2021
Fortifyedge (2019)$100
Funding
CSIRO-Commonwealth Scientific & Industrial Research Organisation ($100)
Scheme
Scholarship-ON Prime
Administered By
University of Tasmania
Research Team
Wagner MA; Kang BH
Year
2019
Ripple Down Rules engine development for airline audit (2018)$110,714
Funding
Department of Industry, Innovation and Science ($49,984); Reassure Pty Ltd ($60,730)
Scheme
Contract Research
Administered By
University of Tasmania
Research Team
Kang BH
Year
2018
Enhanced forest inventory practice using immersive visualisation and measurement of dense point cloud data (2018 - 2019)$80,000
Description
This project will provide methods and workflows to support Virtual Reality (VR) visualisation and measurement of plot-level point-cloud data. This software application has the potential to greatly reduce reliance on the manual assessment of plots and improve the accuracy of inventory plot measurement.
Funding
Forest & Wood Products Australia Limited ($50,000)
Collaborators
Forest Products Commission - University of Western Australia ($5,000); Forestry Corporation of New South Wales ($5,000); Forestry Tasmania ($5,000); HQ Plantations ($5,000); Interpine Group Limited ($5,000); PF Olsen (Aus) Pty Ltd ($5,000)
Scheme
Grant-Research and Development
Administered By
University of Tasmania
Research Team
Chinthammit W; Osborn JE; Stone C; Kang BH
Period
2018 - 2019
Helping An Autonomous Underwater Vehicle Navigating (2018)$7,000
Funding
University of Tasmania ($7,000)
Scheme
null
Administered By
University of Tasmania
Research Team
Xu S; King PD; Kang BH
Year
2018
Helping An Autonomous Underwater Vehicle Navigate in Deep Ocean Using Sonar Image Recognition and Matching Techniques (2018)$7,000
Description
On 18 August 2017, a new world class $5 million autonomous underwater vehicle (AUV) capable of diving into the deep ocean (5000 meters) to gather data on Antarctic research missions was unveiled at the University of Tasmania's Australian Maritime College (AMC). This project aims to develop intelligent methods to allow the AUV to navigate long distances in environments (such as Antarctic and Southern Ocean) where underwater/under-ice absolute navigation aid (GPS) is not available.Geophysical referencing allows an AUV to position itself using sensory feedback. An effective geophysical approach is teach-and-repeat (TR) path following, which does not require the estimation of position in the global reference frame, but only with respect to previously collected data. TR enables an autonomous vehicle to re-follow a path by relating its current sensory input to a stored sequence of sensory input from a previous traversal. This approach is beneficial to both AUV homing operation and area coverage mission. The objectives of the project are to develop an effective TR path following algorithm for AUV by online sonar image processing (including image recognition and matching), and to design a reliable path following control algorithm which will compensate for the ocean current disturbance on AUV motion.
Funding
University of Tasmania ($7,000)
Scheme
Grant- Research Enhancement Program
Administered By
University of Tasmania
Research Team
Xu S; King PD; Kang BH
Year
2018
A Smart Home Assistant Service and Management System in Users Perspectives to Improve Convenience of Home Life (2017 - 2019)$175,109
Funding
Ministry of Trade, Industry and Energy ($175,109)
Scheme
Grant-Industrial Technological Innovation Program
Administered By
SoftOnNet Pty Ltd
Research Team
Yin Y; Kang BH; Han S
Period
2017 - 2019
Sense-T Stage 2: Education Project (2016)$79,999
Description
The objective of this project is to build robust skills capacity in highschools, Universities and small businesses. It is about leveragingexisting practical initiatives to build capacity in analysing andunderstanding data for every-day decision making. Schools are alreadyinitiating ideas on how to tap into the Sense-T opportunity, includingBurnie High School in North-West Tasmania. The school has proposedcreating a program for Years 9-10 students on building sensors andapplications to monitor the local environment. This project will createa series of courses and activities to support learning in sensortechnology and big data analytics.
Funding
University of Tasmania ($79,999)
Scheme
Grant - Institutional
Administered By
University of Tasmania
Research Team
Kang BH; Chen Y; Leon de la Barra BA
Year
2016
Interface Research On IoT Technology (2016 - 2017)$80,091
Description
Knowledge-based systems are typically constrained by their ability to acquire new knowledge without the intercession of a technical knowledge engineer. This introduces a fundamental disconnect between the system and the domain expert - even if a knowledge acquisition interface is provided, the domain expert is usually highly constrained in their expressiveness and ability to train the system due to technology-specific implementation.Knowledge-based systems are also currently limited in their applicability to autonomous systems. The domain expert/knowledge acquisition bottleneck in this paradigm also poses a great challenge to effectively train an autonomous system with new or modified behaviours without considerable effort and implementation change. In the autonomous system-operating environment, there is no consistent model of abstraction (of services/behaviour, information and data) that can be leveraged across different systems and domains. To address these shortcomings, we will develop an extensive, easily maintainable hierarchical Knowledge Base System (KBS) for Autonomous Systems (AS) technologies (such as drones and humanoid robots) that will be trained by Knowledge Domain Experts (KDE) using a Natural Language (NL) interface for communication. The system will implement an abstracted architecture, taking a layer-based approach to separate data and hardware, information, and services, each with an associated, contextual knowledge base. We will introduce and develop a module (termed a Curator) that will facilitate the choice (or procurement via knowledge acquisition) of behavioural and information abstractions at each layer. This will allow the AS to infer correct behaviour given high-layer service directives, in effect allowing the KDE to train a behaviour quickly and effectively when the associated contextual knowledge base lacks the knowledge to fulfil an inter-layer request.
Funding
Hyundai MNSOFT Inc. ($80,091)
Scheme
Contract Research
Administered By
University of Tasmania
Research Team
Kang BH; Han S
Period
2016 - 2017
Smart Remote Control for Industry and Education - Joint CSIRO and UTAS ICT Project (2016 - 2020)$493,602
Description
This cross disciplinary research project is a strategic research project lead by the School of Engineering and ICT in collaboration with the CSIRO Data61 (formerly called the CSIRO ICT Centre). The project focuses on remote operation of mechatronic systems that are highly localised in their sensor reach, but may nevertheless be remote from users. Research in the project addresses: leveraging commercial off the shelf (COTS) sensor systems and platforms to provide cognitive integration of human-machine systems and to enhance human use of increasing amounts of sensor data collected in ways that are highly adaptive to the goals and purposes of the human user. This project aligns with the strategic Research Themes and objectives of the SenseT project, but seeks a much tighter integration between human thought and problem-solving processes and the remote operation of mechatronic systems in providing sensor and data inputs to those processes. This will be done by demonstrating new forms of interface, interaction, and semi-autonomous machine control for supporting human problem formulation and solution, integrated with real-time mechatronic systems gathering problem-oriented data remotely from the end point of human use. Hence the project will demonstrate real-time physically adaptive big data systems for human decision support.
Funding
CSIRO-Commonwealth Scientific & Industrial Research Organisation ($104,987); University of Tasmania ($388,615)
Scheme
Contract Research
Administered By
University of Tasmania
Research Team
Kang BH; Lindley C
Period
2016 - 2020
Seamless Integration of Knowledge Acquisition for Autonomous Systems by Domain Users with Prudence Capability (2016 - 2017)$99,978
Description
Knowledge-based systems are typically constrained by their ability to acquire new knowledge without the intercession of a technical knowledge engineer. This introduces a fundamental disconnect between the system and the domain expert - even if a knowledge acquisition interface is provided, the domain expert is usually highly constrained in their expressiveness and ability to train the system due to technology-specific implementation.Knowledge-based systems are also currently limited in their applicability to autonomous systems. The domain expert/knowledge acquisition bottleneck in this paradigm also poses a great challenge to effectively train an autonomous system with new or modified behaviours without considerable effort and implementation change. In the autonomous system-operating environment, there is no consistent model of abstraction (of services/behaviour, information and data) that can be leveraged across different systems and domains. To address these shortcomings, we will develop an extensive, easily maintainable hierarchical Knowledge Base System (KBS) for Autonomous Systems (AS) technologies (such as drones and humanoid robots) that will be trained by Knowledge Domain Experts (KDE) using a Natural Language (NL) interface for communication. The system will implement an abstracted architecture, taking a layer-based approach to separate data and hardware, information, and services, each with an associated, contextual knowledge base. We will introduce and develop a module (termed a Curator) that will facilitate the choice (or procurement via knowledge acquisition) of behavioural and information abstractions at each layer. This will allow the AS to infer correct behaviour given high-layer service directives, in effect allowing the KDE to train a behaviour quickly and effectively when the associated contextual knowledge base lacks the knowledge to fulfil an inter-layer request.
Funding
Asian Office of Aerospace Research & Development ($99,978)
Scheme
Grant
Administered By
University of Tasmania
Research Team
Kang BH; Han S; Herbert DP
Period
2016 - 2017
An adaptable hybrid knowledge base system for security intrusion detection by phishing-based vector attacks incorporating multiple classification and prudence techniques (2016)$53,797
Description
We have previously developed a successful knowledge base system using Induct RDR that classifies phishing-related intrusion attempts by examining attribute-based data associated with target (suspect and non-suspect) web sites. The system's purpose is to filter out phishing - it classifies data into two categories of phishing-related or not-phishing-related categories. This categorisation can then be used by a filtering or an alert system to mitigate the risk to an end user.
Funding
Office of Naval Research ($53,797)
Scheme
Grant- Navy and Marine Corps Program
Administered By
University of Tasmania
Research Team
Kang BH; Han S; Chung H
Year
2016
Collaborative Science Program Narrative Summary - 2017 IEEE International Conference on Data Science and Advanced Analytics (2016)$16,500
Funding
Office of Naval Research ($16,500)
Scheme
Grant- Navy and Marine Corps Program
Administered By
University of Tasmania
Research Team
Kang BH
Year
2016
Sense-T Stage 2: Viticulture (2015 - 2016)$517,313
Description
This project creates a system of 'live knowledge' management that integrates human observations of grape production with sensor-derived intelligence to constantly improve the quality and accuracy of variables predicting crop stages or those associated with grape yield and quality. The system will support better decision making by vineyard managers and winemakers about crop interventions and winery logistics. Not only will this tool strengthen the functionality of the Sense-T Stage 1 viticulture app, it will also facilitate users to collaborate and share data and knowledge for constructive advantage and entrepreneurship. This value-adding will promote technology adoption and sustainable expansion of the Tasmanian wine and grape industry.
Funding
University of Tasmania ($517,313)
Scheme
Grant - Institutional
Administered By
University of Tasmania
Research Team
Evans KJ; Kang BH; Buntain M; Corkrey SR; Turner P; Montgomery J
Period
2015 - 2016
Sense-T Stage 2: Sensor-smart irrigation (2015 - 2016)$509,799
Description
This project will consist of collating existing; spatial data, sensor technology, and irrigation software (developed by NCEA) to deliver a working irrigation management tool. A simple to use mobile App using real-time sensory data to assist growers to decide when and how much to irrigate different soils or crops, tailored to their irrigation control system and site characteristics. Part of the project will undertake a review and evaluation of the use of sensors; what functionality is needed; and how decision making occurs with end users. The growers have indicated there is a need for a review to inform them of the sensors to use in their individual businesses. They are also need information on the best location of sensors and the optimal number of sensors required to provide reliable information and management zones within an irrigation area. One of the key objectives of the spatial data component of the project will be to determine the appropriate scale of mapping to match management zones.
Funding
University of Tasmania ($509,799)
Scheme
Grant - Institutional
Administered By
University of Tasmania
Research Team
Hinton SJ; Hardie MA; Johnson PG; Kang BH; Han S; Chung H; Turner P
Period
2015 - 2016
Experiential Knowledge Service Platform: Development of Knowledge Acquisition Tool for Domain Expert Knowledge (2015 - 2017)$2,306,584
Description
Knowledge is essential for human life. Using it,we can make better decisions and thus perform correct actions.Therefore, it is important to manage it in appropriate manners.This paper presents a platform for knowledge service, whichprovides actionable live heuristic knowledge to the users. Theplatform consists of three layers - data, information andknowledge. In order to provide live knowledge service, all theselayers require experiential knowledge, but they have not beenwell understood or well managed in conventional knowledgeservice approaches. Experiential knowledge is used to selectbetter data analytic approaches, better transform from data toinformation and to provide decision services to users. Theheuristic knowledge used in three layers is related to eachother and should be managed seamlessly and maintainedincrementally by experts in domains.
Funding
Ministry of Trade, Industry and Energy ($2,306,584)
Scheme
Grant-Industrial Technological Innovation Program
Administered By
Korean Advanced Institute of Science and Technology
Research Team
Yi MY; Kang BH
Period
2015 - 2017
Intrusion Detection Systems with Live Knowledge System (2015)$53,382
Funding
Asian Office of Aerospace Research & Development ($53,382)
Scheme
Grant
Administered By
University of Tasmania
Research Team
Kang BH
Year
2015
Development of mining minds technology exploiting personal big data (2015 - 2017)$3,450,000
Description
This project will introduce a new methodology that enables the data collection from human and provide the smart recommendation using big data analysis technology
Funding
Ministry of Trade, Industry and Energy ($3,450,000)
Scheme
Grant-Industrial Technological Innovation Program
Administered By
Kyung Hee University
Research Team
Lee S; Kang BH; Jung WK; Lee YS; Choi JH
Period
2015 - 2017
Broadband Wi-Fi Network Security System Development for Long Distance Platform (2014 - 2017)$23,264
Funding
Cyber Trace & Guard Co. ($17,448); Korean Information Security System Pty Ltd ($5,816)
Scheme
Contract Research
Administered By
University of Tasmania
Research Team
Kang BH
Period
2014 - 2017
Expert system development for disaster and safety consultation of early childcare centres (seed funding) (2014)$10,000
Funding
The Korean Association for SIDS Prevention ($10,000)
Scheme
Contract Research
Administered By
University of Tasmania
Research Team
Kang BH; Kim YS
Year
2014
Cloud-Based Analytic Services Management Architecture for Mobile Sensing (2013 - 2015)$30,000
Description
Student top-up scholarship. The project aims to research on the definition, design, and implementation of a efficient, scalable, service-oriented cloud-base analytics management middleware architecture for mobile sensing , with application on environmental sensing.
Funding
CSIRO-Commonwealth Scientific & Industrial Research Organisation ($30,000)
Scheme
Contract Research
Administered By
University of Tasmania
Research Team
Kang BH
Period
2013 - 2015
Discover and build smart analysis application about the Web monitoring system - (scholarship Meng Zhang top-up scholarship) (2013 - 2015)$30,000
Funding
CSIRO-Commonwealth Scientific & Industrial Research Organisation ($30,000)
Scheme
Scholarship-Top-Up
Administered By
University of Tasmania
Research Team
Kang BH; de Souza Junior P; Zhang M
Period
2013 - 2015
Fatigue Reduction Technologies for a Safer Tasmanian Transport Sector (2013 - 2016)$180,000
Funding
WorkCover Tasmania ($180,000)
Scheme
Grant
Administered By
University of Tasmania
Research Team
Mirowski LT; Turner P; Kang BH; Acuna MA; Almond I
Period
2013 - 2016
Research on Conversation Authoring Systems for Cloud Computing Environment and Technology Education Program for NBN Solutions (2012 - 2015)$200,000
Funding
iLink System Inc ($200,000)
Scheme
Contract Research
Administered By
University of Tasmania
Research Team
Kang BH
Period
2012 - 2015
Mapping provenance in semantic web (2012 - 2014)$36,000
Funding
CSIRO-Commonwealth Scientific & Industrial Research Organisation ($36,000)
Scheme
Grant-Intelligent Island ICT Scholarship
Administered By
University of Tasmania
Research Team
Kang BH
Period
2012 - 2014
Research on information divide problem of social network: identifying the impact of social issue on different (scholarship Soyeon Han) (2012 - 2014)$52,968
Funding
Tapacross Inc ($52,968)
Scheme
Grant-Scholarship
Administered By
University of Tasmania
Research Team
Kang BH
Period
2012 - 2014
Applying Web Information Monitoring Technology for Social Network Society Information Analysis: Seed Project (2011)$10,000
Funding
The Korea Academia Industrial Cooperation Society ($10,000)
Scheme
Contract Research
Administered By
University of Tasmania
Research Team
Kang BH
Year
2011
Advanced U-Health Care Solution (2011 - 2012)$112,459
Funding
Small and Medium Business Administration (Korea) ($112,459)
Scheme
Grant-International Research Linkages
Administered By
University of Tasmania
Research Team
Kang BH; Turner P
Period
2011 - 2012
A More Intelligent Knowledge-based System Apprentice (2010 - 2012)$310,000
Funding
Australian Research Council ($310,000)
Scheme
Grant-Discovery Projects
Administered By
University of New South Wales
Research Team
Compton P; Kang BH
Period
2010 - 2012
Grant Reference
DP1096499
Project Extension of Dynamic Scheduling for Web Monitoring System - Information Monitoring System on World Wide Web and Myths on Bi-direction Communication of Web 2.0 Based Social Networks (2008 - 2012)$372,376
Funding
Asian Office of Aerospace Research & Development ($372,376)
Scheme
Grant
Administered By
University of Tasmania
Research Team
Kang BH
Period
2008 - 2012
Applying Multiple Classification Ripple Down Rules to Develop Smart Expert Systems (2007 - 2013)$90,000
Funding
Integrated Performance Management System Ltd ($90,000)
Scheme
Agreement-Project
Administered By
University of Tasmania
Research Team
Kang BH
Period
2007 - 2013
kmAgent Grant-Scholarship (2006 - 2008)$50,000
Funding
kmAgent ($50,000)
Scheme
Contract Research
Administered By
University of Tasmania
Research Team
Kang BH
Period
2006 - 2008
Personal Assistant for Web Searches: Multi-Tasking and Monitoring (2006)$38,847
Funding
Asian Office of Aerospace Research & Development ($38,847)
Scheme
Grant
Administered By
University of Tasmania
Research Team
Kang BH
Year
2006
Classification Rules and Algorithms for Analysis of DNA Sequences (2005 - 2006)$15,000
Funding
University of Tasmania ($15,000)
Scheme
Grant-Institutional Research Scheme
Administered By
University of Tasmania
Research Team
Kang BH; Kelarev AV; Sale AHJ; Elliott RC; Steane DA
Period
2005 - 2006
Towards Next Generation WWW: Push, Reuse and Classification (2005 - 2006)$46,897
Funding
Asian Office of Aerospace Research & Development ($46,897)
Scheme
Grant
Administered By
University of Tasmania
Research Team
Kang BH
Period
2005 - 2006
Personalizing Search Results: Using an Automated Classification of Documents into an MCRDR Tree Through the Utilisation of Reinforcement Learning for User Modelling (2002 - 2005)$122,500
Funding
Smart Internet Technology CRC ($122,500)
Scheme
Scholarship
Administered By
University of Tasmania
Research Team
Kang BH
Period
2002 - 2005
Development of Prototype Interface System Between NAI and SPA Knowledge Systems Based on Ripple Down Rule Scripts (2002)$99,693
Funding
Smart Internet Technology CRC ($99,693)
Scheme
Grant
Administered By
University of Tasmania
Research Team
Kang BH
Year
2002
Knowledge Management System (2001)$100,000
Funding
Human & Knowledge Co ($100,000)
Scheme
Grant
Administered By
University of Tasmania
Research Team
Choi YJ; Kang BH
Year
2001
Highly-tailored information retrieval system for internet documents (2001)$16,000
Funding
University of Tasmania ($16,000)
Scheme
Grant-Institutional Research Scheme
Administered By
University of Tasmania
Research Team
Kang BH
Year
2001
Human Semantic Understanding System (2000 - 2001)$100,000
Funding
MIB Technology ($100,000)
Scheme
Grant
Administered By
University of Tasmania
Research Team
Choi YJ; Kang BH
Period
2000 - 2001

Research Supervision

Current

2

Completed

20

Current

DegreeTitleCommenced
PhDInvestigating Enhancement of Digital Technology Competencies using DBR: A case study of southern Tasmanian year 6 teachers2018
PhDBlockchain Performance Optimization by using Cloud Technology2018

Completed

DegreeTitleCompleted
PhDEffective IoT Authentication and Authorisation using Blockchain
Candidate: Khizar Khizar		2022
PhDDevelopment and Evaluation of an Intelligent Student Assessment System in a Remote Laboratory for Embedded Systems Education (RLESE)
Candidate: Leandro Disiuta		2022
PhDEnhancing TAM 3 for DRS Technologies and Related Stakeholder Management Practices: A case study of international cricket
Candidate: Muhammad Siddique Fawad Qureshi		2022
PhDDeep Learning for Multiple Retail Products Image Recognition
Candidate: Yuchen Wei		2022
PhDCapitalizing Knowledge Using Blockchain: Multi blockchain based framework for rule- based knowledge base systems (KBS)
Candidate: Ali Raza		2022
PhDBlockchain-based Decentralized Mechanism for Conversation System
Candidate: Wenli Yang		2022
PhDEfficient Resource Management for Fog Computing
Candidate: Sudheer Kumar Battula		2021
PhDDefinition and Evaluation of a Conversational Agent System utilising a Rule-based Knowledge-base System that maintains Conversational Context
Candidate: David Paul Herbert		2020
PhDDynamic Graph Partitioning in Streaming Manner
Candidate: Md Anwarul Kaium Patwary		2020
PhDAn Ensemble-based Feature Selection Methodology for Case-Based Learning
Candidate: Maqbool Ali		2018
PhDA Hybrid Failure Diagnosis and Prediction Framework for Large Industrial Plants
Candidate: Dohyeong Kim		2018
PhDNovel Feature Selection for Algorithms for Improving Neural Network Performance
Candidate: Zongyuan Zhao		2016
PhDNew Evolutionary Algorithms for Mining Interesting Association Rules
Candidate: Mir Md. Jahangir Kabir		2016
PhDIncremental Knowledge-Based System for Schema Mapping
Candidate: Sarawat Anam		2016
PhDDynamics of Trending Topics: Smart service systems using trending topics
Candidate: Soyeon Han		2016
PhDA Method for Knowledge Discovery and Development with Health Data
Candidate: Tristan Ronald Ling		2011
PhDA Study on Security Level Management Model for Information System
Candidate: Tai-hoon Kim		2011
PhDMultiple Classification Ripple Round Rules: Classifications as Conditions
Candidate: Ivan Karl Bindoff		2010
PhDAn Evaluation Study of Web Monitoring: Web Monitoring vs Web Crawling
Candidate: Yang Sok Kim		2008
PhDTo The Knowledge Frontier and Beyond: A Hybrid System for Incremental Contextual-Learning and Prudence Analysis
Candidate: Richard Peter Dazeley		2007