PUBLICATIONS



Refereed JOURNALS

  1. Kungan Zeng, Incheon Paik, Web service embedding: Representing the invocation association between services with practical-valued vectors, Expert Systems with Applications, Volume 238, Part F, DOI: https://doi.org/10.1016/j.eswa.2023.122196, 15 March 2024.
  2. Cherubin Mugisha, Incheon Paik, Medical BigBERTa: An Optimized Transformer for Long Medical Documents, Submitted to JBHI, Pre-publication at Techrxiv: https://www.techrxiv.org/articles/preprint/Medical_BigBERTa_An_Optimized_Transformer_for_Long_Medical_Document/21673598/2 , June. 2023.
  3. Chérubin Mugisha,Incheon Paik, Bridging the Gap between Medical Tabular Data and NLP Predictive Models: A Fuzzy-Logic-Based Textualization Approach, MDPI Electronics 2023, 12(8), 1848; https://doi.org/10.3390/electronics12081848, Apr. 2023.
  4. Akila Siriweera, Incheon Paik, and Huawei Huang, Constraint-driven Complexity-aware Data Science Workflow for AutoBDA, IEEE Transactions on Big Data, Accepted, March, 2023. pp. 1-20.
  5. HONG N. DAO, PENUGONDA RAVIKUMAR,PALLA LIKHITHA, RAGE UDAY KIRAN, YUTAKA WATANOBE, INCHEON PAIK, Finding Stable Periodic-Frequent Itemsets in Big Columnar Databases, IEEE Access ( Volume: 11), (DOI: 10.1109/ACCESS.2023.3241313) February 2023. pp. 12504 - 12524.
  6. Tuyen Nguyen, Incheon Paik, Yutaka Watanobe, Truong Cong Thang, An Evaluation of Quantum Neural Networks for Image Data Classification, Journal of MDPI Electronics, Accepted on Jan. 28, 2022.
  7. Cherubin Mugisha,Incheon Paik, Comparison of Neural Language Modeling Pipelines For Outcome Prediction From Unstructured Medical Text Notes, IEEE Access (Volume: 10), DOI: 10.1109/ACCESS.2022.3148279, Page: 16489-16498, Feb. 2022.
  8. Ranto Sawai, Incheon Paik, Ayato Kuwana, Sentence Augmentation for Language Translation using GPT-2, Journal of MDPI Electronics 2022, 10, 3082. https://doi.org/10.3390/electronics10243082 , Dec. 10, 2021. 
  9. Incheon Paik, Jun-Wei Wang, Improving Text-to-Code Generation with Features of Code Graph on GPT-2, Journal of MDPI Electronics,  https://doi.org/10.3390/electronics10212706, Nov., 2021. 
  10. Ayato Kuwana, Atsushi Oba, Ranto Sawai, Incheon Paik, Automatic Taxonomy Classification by Pretrained Language Model, Journal of MDPI Electronics, https://doi.org/10.3390/electronics10212656, Oct. 2021.
  11. Md. Mostafizer Rahman, Yutaka Watanobe, Rage Uday Kiran,Truong Cong Thang,Incheon Paik, Impact of Practical Skills on Academic Performance: A Data-Driven Analysis, IEEE Access ( Volume: 9), Oct. 2021. pp. 139975 - 139993
  12. Kungan Zeng, Incheon Paik, Semantic Service Clustering with Lightweight BERT-based Service Embedding Using Invocation Sequences, IEEE Access (Volume: 9), DOI: 10.1109/ACCESS.2021.3069509, pp. 54298 - 54309, March 2021.
  13. Incheon Paik, Automatic AI Generation Tool for Society 5.0 Era, Journal of Korean Scientists and Engineers Association in Japan, Vol. 35-1, No. 62, 2020. (In Korean)
  14. Banujan Kuhaneswaran, Banage TGS Kumara, and Incheon Paik. "Strengthening Post-Disaster Management Activities by Rating Social Media Corpus.", International Journal of Systems and Service-Oriented Engineering (IJSSOE) 10.1,  pp. 34-50, 2020.
  15. Wuhui Chen, Baichuan Liu, Incheon Paik, Zhenni Li, Zibin Zheng, QoS-Aware Data Placement for MapReduce Applications in Geo-Distributed Data Centers, IEEE Transactions on Engineering Management, PP(99):1-17, DOI: 10.1109/TEM.2020.2971717, Feb. 2020.
  16. Rupasingha A. H. M. Rupasingha, Incheon Paik, Rupasingha A. H. M. Rupasingha, Incheon Paik, Alleviating Sparsity by Specificity-Aware Ontology-Based Clustering for Improving Web Service Recommendation, IEEJ Transacation on Electrical and Electronic Engineering, DOI: https://doi.org/10.1002/tee.22970, July 08, 2019.
  17. Benying Tan, Yujie Li, Shuxue Ding, IncheonPaik, Atsunori Kanemura, DC programming for solving a sparse modeling problem of video key frame extraction, Digital Signal Processing, Volume 83, (https://doi.org/10.1016/j.dsp.2018.08.005), pp. 214-222, December 2018.
  18. T. H. Akila S. Siriweera, Incheon Paik, QoS-aware Rule-based Traffic-efficient Multi-objective Service Selection in Big Data Space, IEEE Access(Volume:6),pp. 48797 - 48814 (DOI: 10.1109/ACCESS.2018.2867633), August 2018.
  19. Rupasingha A. H. M. Rupasingha, Incheon Paik, and Banage T. G. S. Kumara, Specificity-Aware Ontology Generation for Improving Web Service Clustering, IEICE Transactions on Information & Systems, Vol.E101-D,No.8,pp.2035-2043,Aug. 2018. 
  20. Wuhui Chen, Incheon Paik, and Neil Y. Yen,Discovering internal social relationship for influence-aware service recommendation, Multimedia Tools and Applications, Springer, Volume 76, Issue 18, September 2017. pp. 18193–18220.
  21. WuhuiChen, IncheonPaik, Zhenni Li, Neil Y.Yen, A cost minimization data allocation algorithm for dynamic datacenter resizing, Journal of Parallel and Distributed Computing Volume 118, Part 2, August 2018, pp. 280-295.
  22. Incheon Paik, Preparation of the 4th Industry Revolution - About Infrastructure Technology and Policy of AI and Big Data for the 4th Industry Revolution, Journal of Korean Scientists and Engineers Association in Japan, Vol. 32-1, No. 56, 2017. (In Korean)
  23. Wuhui Chen, Incheon Paik, Patrick C.K. Hung, Transformation-based Streaming Workflow Allocation on Geo-Distributed Datacenters for Streaming Big Data Processing,  IEEE Transactions on Service Computing, Accepted on September 2016.
  24. Wuhui Chen, Incheon Paik, Zhenni Li, "Cost-Aware Streaming Workflow Allocation on Geo-Distributed Data Centers", IEEE Transactions on Computers, PrePrints, doi:10.1109/TC.2016.2595579,  Vol. 66, No. 2, Feb. 2017. pp. 256-271 
  25. T. H. Akila S. Siriweera, Incheon Paik, Banage T. G. S. Kumara, C. K. Koswatta, "Architecture for Intelligent Big Data Analysis based on Automatic Service Composition", International Journal of Big Data (IJBD), 2(2), 2015, pp. 1-14. 
  26. Wuhui Chen, Incheon Paik, Zhenni Li, Topology-Aware Optimal Data Placement Algorithm for Network Traffic Optimization, IEEE Transactions on Computers, Pre-Printed Version (DOI: 10.1109/TC.2015.24852), http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7286787, Vol. 65, No. 8, Aug. 2016. Ppp. 2603-2617.
  27. Incheon Paik, Sheng-Han Yang and Li-Hua Li, Improving Trust Based Recommender System By Mining User Comments on the Web, Advanced Science Letters (ASL), Accepted on March, 2015.
  28. Koswatte R. C. Koswatte, Incheon Paik, Wonhee Park, Banage T.G.S. Kumara, Innovative Product Design using Metaontology with Semantic TRIZ, International Journal of Information Retrieval, Accepted on Feburary, 2015.
  29. Chenghao Jin, Goutchol Pok, Incheon Paik, Keunho Ryu, "Short-Term Electricity Load and Price Forecasting Based on Clustering and Next Symbol Prediction", IEEJ Transactions ON Electrical and Electronic Engineering, Vol.10 No.2, 2015. pp.175-18.
  30. Banage Thenna Gedara Samantha Kumara,Incheon Paik,Hiroki Ohashi,Yuichi Yaguchi,Wuhui Chen, Context-Aware Web Service Clustering and Visualization, International Journal of Web Services Research (JWSR), Accepted on December, 2014.
  31. I. Paik, Improved Malicious Code Classification Considering Sequence by Machine Learning, IEIE Transactions on Smart Processing and Computing (SPC), accepted in July 2014.
  32. Banage T. G. S. Kumara, Incheon Paik, Koswatte R. C. Koswatte, Wuhui Chen, IMPROVING WEB SERVICE CLUSTERING THROUGH POST FILTERING TO BOOTSTRAP THE SERVICE DISCOVERY, International Journal of Services Computing (ISSN 2330-4472) Vol. 2, No. 3, July – Sept. 2014. pp. 1-13.
  33. I. Paik, H. Takada, K. Ryu, Identification of Semistructured Abstract Nonfunctional Properties for Automatic Service Composition, International Journal of Web Services Research, Accepted in August 2014. 
  34. W. Chen, I. Paik, Toward Better Quality of Service Composition Based on Global Social Service Network, IEEE Transactions on Parallel and Distributed Systems, Vol. 26, Issue 5, April, 2014. pp. 1466-1476.
  35. B.T.G.S. Kumara, I. Paik, W. Chen, K. Ryu,  Web Service Clustering using a Hybrid Term-Similarity Measure with Ontology Learning, International Journal of Web Services Research, Volume 11, Issue 2th, 2014. pp. 24-45.
  36. W. Chen, I. Paik, and T. Tashiro, Connecting a single Global Service Space for Workflow-as-a-Service, Journal of Computational Intelligence and Intelligent Informatics (JACIII), Vol. 17, No. 4, 2013.
  37. W. Chen, I. Paik, and P. C.K. Hung, Privacy Issues in SOAP Message Exchange Pattern for Social Services, Fundamenta Informaticae 131 (DOI 10.3233/FI-20), 2014, pp.1–19 .
  38. W. Chen, I. Paik, P. C.K Hung, Constructing a Global Social Service Network for Better Quality of Web Service Discovery, IEEE Transactions on Service Computing, Volume:8 ,  Issue: 2, March-April, 2015, pp284 - 298.
  39. B. T. G. S. Kumara, I. Paik, W. Chen, Extract Features from WSDL Documents to Cluster Web Services with Ontology Learning, Journal of Convergence Information Technology, Vol. 8, No. 5, 2013, pp. 920-929.
  40. I. Paik, W. Chen, M. Huhns, Scalable Architecture for Automatic Service Composition, IEEE Transactions on Service Computing, VOL. 7, NO. 1, JANUARY-MARCH, 2014, pp. 82-95.
  41. W. Chen, I. Paik, Improving efficiency of service discovery using Linked data-based service publication, Information Systems Frontiers, DOI: 10.1007/s10796-012-9381-x, Springer, 2012. 
  42. I. Paik, W. Chen, SEMANTIC PATTERN TEMPLATES FOR AUTOMATING BUSINESS CHOREOGRAPHY ON WEB SERVICES, International Journal of Business Process Integration and Management (IJBPIM), Volume 6 No 2, December, 2012. 
  43. I. Paik, E. Fujikawa, "Web Service Matchmaking Using Web Search Engine and Machine Learning", International Journal of Web Engineering, SAP, 1(1), pp. 1-5, 2012. 
  44. J. Wang, F. Yang, and I. Paik, "A Novel E-cash Payment Protocol Using Trapdoor hash Function on Smart Mobile Device, International Journal of Computer Science and Network Security, Vol. 11, No. 6, June 2011, pp.12-19.
  45. I. Paik and H. Mizugai, "Recommendation System Using Weighted TF-IDF and Naive Bayes Classifiers on RSS Contents", Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 14 No. 6, 2010.  
  46. I. Paik and H. Takada, "Design of General User Interface for Automatic Service Composition",  Internation Journal of Communication and Computer, Volume (6), Number 9, September 2009.
  47. I. Paik, H. Akimoto, "Ontology Querying and Its Software Component for Design Support in Supply Chains", International Journal of Agent Oriented Software Engineering (IJAOSE), Inderscience Enterprises Ltd., Vol. 1, No. 2, 2007, pp. 244 - 259.
  48. I. Paik and Y. Watanabe, "Intelligent Web Services via Service Composition with Constraints using Semantic Web Rules: The Trip Planning Case",  The Journal of Three Dimensional Images, Vol. 20, No.2, May, 2006, pp.66-73.
  49. W. Park and I. Paik, "Construction of Information Infrastructure to Support Business to Business", Journal of Japan Industry Management Association, Vol. 54, No. 6, 2004.
  50. I. Paik, and W. Park, "Software Component Architecture for an Information Infrastructure to Support Innovative Product Design in a Supply Chain", Journal of Organization Computing and Electronic Commerce, Lawrence Erlbaum Associates, NJ. U.S.A. Vol. 15, Issue 2, 2005, pp. 105-136.  
  51. I. Paik, T. Han, T. Oh, S. Ha, and T. Park, "An Affiliated Search System for an Electronic Commerce and Software Component Architecture", Information and Software Technology, Elsevier Science, Vol. 45, Issue 8, 1 June, 2003, pp. 479-497.   
  52. I. Paik, "Design of Ontology and Information Infrastructure to Support the Design in Supply Chain", The Journal of Three Dimensional Images, Vol. 17, No.1, March, 2003, pp114-120.
  53. I. Paik, "Novel Architecture for Electronic Commerce framework using SET Protocol", Soonchunhyang Journal Institutes of Industry Technology, 1999.
  54. I. Paik, "CORBA-Based Component Technology and Application to Electronic Commerce", Korea Information  Science Society Review, Vol. 17 No. 7, 1999.
  55. I. Paik, "Design of Scalable User-Oriented Internet Information Retrieving System using CORBA", Journal of Korea Information Science Society (KISS), Vol. 3, No. 6, pp. 631-642, Dec. 1997.
  56. I. Chun, H. Lee, I. Paik, and C. Jeong, "Three-Dimensional Structure Reconstruction Using X-ray Image for Orthopedic Surgery", Soonchunhyang Journal Institutes of Industry Technology, Vol. 2, No. 1, pp 3-12, 1996.
  57. I. Paik, "Compact Layout Generation of Static CMOS Complex Gate with Transmission Gates", Journal of Soonchunhyang Univ., 1994.
  58. I. Paik, "Implementation of Processor for Linearly Shift Knapsack Public Key Crypto-system", KICS Journal, Vol.19, No.11, 1994.
  59. J.Kim, H. Cho, K. Paek, I. Paik, and K. Tchah, "A Study on the Pipeline Subranging Analog-Digital Converter", Journal of Institute of Industry Technology, Korea University, Vol. 28, pp. 19-27, 1992.
  60. H. Cho, K. Paek, I. Paik, and K. Tchah, "A Study on the Test Circuit Design and Development of Algorithm for Parallel  RAM Testing", KICS Journal, Vol.17, No.7, 1992.
  61. I. Paik, N. Park, K. Tchah, "A Study on the Implementation of CAM Generator Using Objected-Oriented Programming", KICS Journal, Vol.16, No.12, 1991.
  62. I. Paik, K. Paek, S. Park, K. Tchah, "A Study on the Implementation of Linearly Shift Knapsack Public Key Cryptosystem", KICS Journal, Vol.16, No.9, 1991.
  63. J. lee, I. Paik, S. Park, N. Park, K. Tchah, "A Study on the Design of Content Addressable and Reentrant Memory(CARM)",  KICS Journal, Vol.16, No.1, 1991.
  64. S. Kim, I. Paik, S. Park, N. Park, K. Tchah, "A Study on the Implementation of FIR Digital Filter with Linear Phase",  KICS Journal, Vol.15, No.11, 1990.
  65. J. Kim, I. Paik, N. Park, K. Tchaha, "A Study on the Automatic Design of Content Addressable Memory",  KICS Journal, Vol.15, No.10, 1990.
  66. J. Kang, I. Paik, S. Park, N. Park, K. Tchah, "A Study on Development of Algorithm for One Chip Echo Canceller",  Korea Institute of Communication Society(KICS) Journal, Vol.15, No.8, 1990.
  67. I. Paik, N. Park, H. Chun, A. Moon, K. Tchah, "Study on Development of IC Layout Program with PC by Data Conversion", Journal of Korea Institue of Telematics and Electronics, Vol. 25, No. 9, 1988, pp. 1125-1133.

Refereed Conference Proceedings (International)

  1. Hiroshi Tasaki, Incheon Paik, Effect of Inference Methods in Back-Translation With Generated Data, Proceedings of ICEIC 2024 Conference, Taiwan, 2024. 
  2. Dao Ngoc Hong, Incheon Paik, Patient Similarity using Electronic Health Records and Self-supervised Learning, Proceedings of IEEE McSOC 2023 Conference, Singapore, 2023.
  3. Zheqi Shen, Incheon Paik, Predicting Depression on Twitter with Word  Embedding by Pretrained Language Model, Proceedings of iCAST 2023 Conference, Taiwan, 2023.
  4. Incheon Paik, Deep Learning Generation Based on Service Composition and Era of AGI, Keynote Speech in ASSE 2023 Conference, 2023.
  5. Marika Kuwabara, Incheon Paik, Observation of Text Generation by GPT Language Model Fine-Tuned by Generated Ontology, ACM ASSE 2023 Conference,Aizu-Wakamatsu, 2023.
  6. Dao Ngoc Hong,Tuyen Nguyen Quang and Incheon Paik, A Multimodal Transfer Learning Approach for Medical Image Classification, Proceedings of IEEE/IEIE ICCE-Asia Conference 2023.
  7. R. Sawai, I. Paik, Improving Performance of Neural Machine Translation with Ontology Graph, Proceedings of ITC-CSCC 2023 Conference, Jeju Korea, 2023.
  8. Mugisha, Chérubin, and Incheon Paik. “Optimization of Biomedical Language Model with Optuna and a Sentencepiece Tokenization for NER.” In 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 3859-3861. IEEE, 2022.
  9. Incheon Paik, Kungan Zeng, Boonhan Bae, Web-based Automatic Deep Learning Service Generation System by Ontology Technologies, IEEE International Conference on Computational Science and Engineering, Wuhan, China, Oct. 2022.
  10. Ranto Sawai, Incheon Paik, Improving Performance of English-Japanese Translation using Knowledge Data, Proceedings of IEEE/IEIE International Conference on Consumer Electronics Asia 2022, Oct. 2022.
  11. Daiki Sakuma, Incheon Paik, Performance Analysis of Code Generation with Data Graph on GPT-2 and BERT, Proceedings of IEEE/IEIE International Conference on Consumer Electronics Asia 2022, Oct. 2022.
  12. Cherubin Mugisha, Incheon Paik, Medical Data Textualization using Fuzzy Logic for NLP Predictive Models, Proceedings of IEEE/IEIE International Conference on Consumer Electronics Asia 2022, Oct. 2022.
  13. Marika Kuwabara, Incheon Paik, Improvement of Q&A System Using Automatic Ontology Generation, Proceedings of IEEE/IEIE International Conference on Consumer Electronics Asia 2022, Oct. 2022.
  14. Hong Dao Ngoc, Tuyen Nguyen Quang and Incheon Paik, Transfer Learning for Medical Image Classification on Multiple Datasets using PubMedCLIP, Proceedings of IEEE/IEIE International Conference on Consumer Electronics Asia 2022, Oct. 2022.
  15. Incheon Paik, Semantic Repository for Automatic Deep Learning Generation, IEEE International Conference on Semantic Computing, Virtual Conference,Jan. 26-28, 2022.
  16. Incheon Paik and Haklin Kimm, Distributed Neural Network with TensorFlow on Human Activity Recognition over Multicore TPU, IEEE 14th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC-2021), Singapore, Dec. 2021.
  17. Kungan Zeng and Incheon Paik, Dynamic Service Recommendation Using Lightweight BERT-based Service Embedding in Edge Computing, IEEE 14th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC-2021), Singapore, Dec. 2021.
  18. Haklin Kimm, Incheon Paik and Hanke Kimm, Performance Comparision of TPU, GPU, CPU on Google Colaboratory over Distributed Deep Learning, IEEE 14th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC-2021), Singapore, Dec. 2021.
  19. Ryoya Ito, Incheon Paik, Improving Detection of Abusive Language on Twitter Using BERT Embedding and Classifier, The 36th International Technical Conference on Circuits/Systems, Computers and Communications, Jeju, Republic of Korea, July, 2021.
  20. Kohei Watanabe, Kungan Zeng, Incheon Paik, Adaptive Classification of GAN-generated Images and Realistic Images, The 36th International Technical Conference on Circuits/Systems, Computers and Communications, Jeju, Republic of Korea, July, 2021.
  21. Atsushi Oba, Incheon Paik, and Ayato Kuwana, Automatic Classification for Ontology Generation by Pretrained Language Model, The 33th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems, Kuala Lumpur, Malaysia, July 26 – July 29, 2021.
  22. Kungan Zeng, Incheon Paik,Web Service Composition Sequence Learning Based on Neural Language Networks, IEEE Big Data Science and Engineering, Guanzhou, China, Dec. 2020.
  23. Cherubin Mugisha and Incheon Paik,"Pneumonia outcome prediction using structured and unstructured data from EHR",IEEE International Conference on Bioinformatics and Biomedicine 2020 (IEEE BIBM 2020), Workshop, Busan, Dec. 2020.
  24. UDAY KIRAN RAGE, Sadanori Ito, Minh-Son Dao, Koji Zettsu, Cheng-wei Wu, Yutaka Watanobe, Incheon Paik, and Truong Cong Thang,Distributed Mining of Spatial High Utility Itemsets in Very Large Spatiotemporal Databases using Spark In-Memory Computing Architecture, IEEE BIg Data Conference, Dec. 2020.
  25. Nguyen Van Ty, Incheon Paik, Feature Extraction with Triplet Loss to Classify Disease on Leaf Data, iCAST 2020, Chengdu,Nov. 2020.
  26. Kungan Zeng, Incheon Paik, A Lightweight Transformer with Convolutional Attention, iCAST 2020, Chengdu,Nov. 2020.
  27. Quang-Minh Do, Kungan Zeng and Incheon Paik,Resolving Lexical Ambiguity in English-Japanese Neural Machine Translation, 3rd Artificial Intelligence and Cloud Computing Conference(AICCC 2020), Kyoto, Japan, Dec. 2020.
  28. Cherubin Mugisha, Incheon Paik, Pneumonia: Predicting death rate of patients at the Intensive Care Unit admission, IEEE The Fifth International Conference On Consumer Electronics (ICCE) Asia, Busan, Korea, Nov. 2020.
  29. Takahiro Yamauchi, Incheon Paik, Comparison on Word Embeddings for Sentiment Classification with Noisy Twitter Data, IEEE The Fifth International Conference On Consumer Electronics (ICCE) Asia, Busan, Korea, Nov. 2020.
  30. Incheon Paik, T. H. Akila S. Siriweera, Automating Big Data Analysis Based on Deep Learning Generation by Automatic Service Composition, Proceedings of International Conference on Data Science and Advance Analysis, Washington D.C,  U.S.A, Oct., 2019.
  31. Incheon Paik, Ryo Ataka, Adaptable Deep Learning Generation by Automatic Service Composition, Proceedings of International Conference on Web Service, Milan, Italy,Jul., 2019.
  32. Atsushi Oba, Incheon Paik, Extraction of Taxonomic Relation of Complex Terms by Recurrent Neural Network,  Proceedings of International Conference on Cognitive Computing, Milan, Italy, Jul., 2019.
  33. Takeyuki Miyagi, Incheon Paik and Rupasingha Arachchilage Hiruni Madhusha Rupasingha,Analysis of Web Service Using Word Embedding by Deep Learning, Proceedings of IEEE International Conference on Awareness Science and Technology 2018 (iCAST 2018), Kyushu, Japan, September 2018.
  34. Rupasingha Arachchilage Hiruni Madhusha Rupasingha and Incheon Paik, Evaluation of Web Service Recommendation Performance via Sparsity Alleviating by Specificity-Aware Ontology-Based Clustering, Proceedings of IEEE International Conference on Awareness Science and Technology 2018 (iCAST 2018), Kyushu, Japan, September 2018.
  35. Kuhaneswaran Banujan, Banage T. G. S. Kumara and Incheon Paik,Twitter and Online News analytics for Enhancing Post-Natural Disaster Management Activities, Proceedings of IEEE International Conference on Awareness Science and Technology 2018 (iCAST 2018), Kyushu, Japan, September 2018. 
  36. Yuji Ishizuka , Quang-Minh Do , Wuhui Chen , Incheon Paik, On-line Cost-aware Workflow Allocation in Heterogeneous Computing Environments, Proceedings of  IEEE 12th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSOC 2018), Hanoi, Vietnam, Sep. 2018.
  37. Rupasingha A. H. M. Rupasingha, Incheon Paik, Improving Service Recommendation by Alleviating the Sparsity with a Novel Ontology-based Clustering, Proceedings on IEEE International Conference on Web Service 2018, San Francisco, USA, July, 2018.
  38. Kazuki Omine, Incheon Paik, Classification of Taxonomical Relationship by Word Embedding and Wedge Product, Proceedings on IEEE International Conference on Cognitive Computing 2018, San Francisco, USA, July, 2018.
  39. Yui Takeda, Incheon Paik, Readability Categorization of Eiken Document using Machine Learning, Proceedings on IEEE-IEICE The Third International Conference on Consumer Electronics (ICCE) Asia 2018, Jeju, Korea, June, 2018.
  40. Sheng Zhang, Incheon Paik, Evaluation of Superior Generation Selection Method in Genetic Algorithm for Service Selection in Big Data Space, Proceedings on IEEE-IEICE The Third International Conference on Consumer Electronics (ICCE) Asia 2018, Jeju, Korea, June, 2018.
  41. T. H. Akila S. Siriweera, Incheon Paik, Constraint-aware Dynamic Partial Order Plan Generation for Big Data Analytics based on Automatic Service Composition, Proceedings on IEEE-IEICE The Third International Conference on Consumer Electronics (ICCE) Asia 2018, Jeju, Korea, June, 2018.
  42. Incheon Paik,Younghyon Heo, Jeremy Perkins, Classification of Machine-Translated Text Using Deep Learning, Proceedings of International Conference on Electronics, Information, and Communication, Honolulu, Hawaii, USA, Jan. 24-27, 2018.
  43. Chungho Lee and Incheon Paik, Stock Market Analysis from Twitter and News Based on Streaming Big Data Infrastructure, Proceedings of IEEE International Conference on Awareness Science and Technology (iCAST 2017), Taichung, Taiwan, Nov. 2017.
  44. Sheng Zhang, Incheon Paik, An Efficient Algorithm For Web Service Selection Based On Local Selection In Large Scale,  Proceedings of IEEE International Conference on Awareness Science and Technology (iCAST 2017), Taichung, Taiwan, Nov. 2017.
  45. Incheon Paik, Yutaka Koshiba, Thenuwara Hannadige Akila Sanjaya Siriweera, Efficient Service Discovery Using Social Service Network Based on Big Data Infrastructure, Proceedings of  IEEE 11th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSOC 2017), Seoul, Korea, Sep. 2017.
  46. Yujie Li, Benying Tan, Shuxue Ding, Incheon Paik, Atsunori Kanemura, Key Frame Extraction from Video Based On Determinant-Type ofSpare Measure And DC Programming,  Proceedings of  IEEE 11th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSOC 2017), Seoul, Korea, Sep. 2017.
  47. Kazuki Sasaki, Incheon Paik, Analysis of Data Distribution to Classify Documents on Taxonomy Hierarchy, Proceedings of The 32nd International Technical Conference on Circuits/Systems, Computers and Communications, Busan, Korea, July 2017.
  48. Kento Hayasaka, Incheon Paik, Improving Taxonomical Document Classification Using Explicit Semantic Analysis and Convolutional Neural Network, Proceedings of The 32nd International Technical Conference on Circuits/Systems, Computers and Communications, Busan, Korea, July 2017.
  49. Rupasingha A. H. M. Rupasingha, Incheon Paik, B. T. G. S. Kumara, Improving Web Service Clustering through a Novel Ontology Generation, Proceedings on IEEE International Conference on Web Service 2017, Hawaii, U.S.A, June-July, 2017.
  50. T. H. Akila S. Siriweera, Incheon Paik, QoS and Customizable Transaction­aware Selection for Big Data Analytics, Proceedings on IEEE International Conference on Service Computing 2017,Hawaii, U.S.A, June-July, 2017.
  51. Banage T.G.S. Kumara, Incheon Paik, T. H. Akila S. Siriweera, Koswatte R. C. Koswatte, QoS Aware Service Clustering to Bootstrap the Web Service Selection, Proceedings on IEEE International Conference on Service Computing 2017,Hawaii, U.S.A, June-July, 2017.
  52. T. H. Akila S. Siriweera, Incheon Paik, Constraint­Driven Dynamic Workflow for Automation of Big Data Analytics based on GraphPlan,Proceedings on IEEE International Conference on Web Service 2017,Hawaii, U.S.A, June-July, 2017.
  53. Rupasingha A. H. M. Rupasingha, Incheon Paik, B. T. G. S. Kumara,Thenuwara Hannadige Akila Sanjaya Siriweera,Domain-aware Web Service Clustering based on Ontology Generation by Text Mining, Proceedings of IEEE IEMCON 2016, Vancouver, Oct. 2016.
  54. T. H. Akila S. Siriweera, Incheon Paik, Service Selection on BigData-Space based on Heterogeneous QoS Preferences, ICCE-Asia, Seoul, Korea, Oct. 2016.
  55. Incheon Paik, Satoshi Hotta, Wuhui Chen, Analysis of Data Distribution to Classify Data Based on Taxonomy Hierarchy, Proceedings on the 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2016) Budapest, Hungary, October, 2016.
  56. Incheon Paik, Situation Awareness based on Big Data Analysis, Proceedings on International Conference of Machine Learning and Cybernetics (ICMLC) 2016, Jeju, South Korea, July, 2016.
  57. T.H. Akila S. Siriweera, Incheon Paik, Jia Zhang, Big Data Analytic Service Discovery using Social Service Network with Domain Ontology and Workflow Awareness, Proceedings on IEEE International Conference on Web Service 2016, San Francisco, U.S.A, June-July, 2016.
  58. Yutaka Koshiba, Incheon Paik, Wuhui Chen, Fast Social Service Network Construction using Map-Reduce for Efficient Service Discovery, Proceedings on IEEE International Conference on Service Computing 2016, San Francisco, U.S.A, June-July, 2016.
  59. Banage T.G.S. Kumara, Incheon Paik, Koswatte R. C. Koswatte, Cluster-Based Web Service Recommendation, Proceedings on IEEE International Conference on Service Computing 2016, San Francisco, U.S.A, June-July, 2016.
  60. Yuji Ishizuka, Wuhui Chen, Incheon Paik, Workflow Transformation for Real-Time Big Data Processing, Proceedings on IEEE International Conference on Big Data Congress 2016, San Francisco, U.S.A, June-July, 2016.
  61. Rupasingha A. H. M. Rupasingha, Incheon Paik, B. T. G. S. Kumara, "Calculating Web Service Similarity using Ontology Learning with Machine Learning," 2015 IEEE International Conference on Computational Intelligence and Computing Research(ICCIC), India, December 2015.
  62. Yutaka Koshiba, Wuhui Chen, Yuichi Yamada, Takazumi Tanaka, and Incheon Paik,  Investigation of Network Traffic in Geo-Distributed Data Centers, IEEE International Conference on Awareness Science and Technology (iCAST 2015), Qinhuangdao, China, Sep. 2015.
  63. T. H. Akila S. Siriweera, Incheon Paik, Banage T. G. S. Kumara, Onotology-Based Service Discovery for Intelligent Big Data Analytics, IEEE International Conference on Awareness Science and Technology (iCAST 2015), Qinhuangdao, China, Sep. 2015.
  64. W. Chen, B.T.G.S.Kumara, T. Tanaka, I. Paik, Z. Li, A Novel Web Service Clustering Approach for Linked Social Service, Proceedings of the 4th International Conference on Frontier Computing, Bangkok, Thailand, September, 2015.
  65. Banage T. G. S. Kumara, Incheon Paik, Jia Zhang, T. H. A. S. Siriweera, Koswatte R. C. Koswatte, Ontology-Based Workflow Generation for IntelligentBig Data Analytics, Proceedings on IEEE International Conference on Web Service 2015, New York, U.S.A, June-July, 2015.
  66. T.H.A.S. Siriweera, Incheon Paik, Banage T.G.S. Kumara, K.R.C. Koswatta, Intelligent Big Data Analysis Architecture based on Automatic Service Composition, Proceedings on IEEE Big Data Congress 2015, New York, U.S.A, June-July, 2015.
  67. Wuhui Chen, Banage T. G. S. Kumara, Incheon Paik and Zhenni Li, Topology-aware Heuristic Data Allocation Algorithm for Big Data Infrastructure, IEEE International Conference on Big Data Computing Service and Applications, San Francisco Bay, USA, 3/30-4/2, 2015. 
  68. Koswatte R. C. Koswatte, Incheon Paik, Banage T. G. S. Kumara, T.H.A.S. Siriweera, Meta-Ontology for Innovative Product Design with Semantic TRIZ, Proceedings of International Conference on Electrical and Information Technologies (ICEIT'15), Marrakech, Morocco, March 25-27, 2015.
  69. Sheng-Han Yang,Incheon Paik, Improving Trust Based Recommender System By Mining User Comments on the Web, World IT Congress, Jeju Korea, Feb. 24-26, 2015.
  70. B. T. G. S. Kumara, Incheon Paik, K. R. C. Koswatte and Wuhui Chen, Ontology Learning with Complex Data Type for Web Service Clustering, Proceedings of IEEE Symposium Series on Computational Intelligence (SSCI), Orlando, Florida, U.S.A. December, 2014.
  71. B. T. G. S. Kumara, Incheon Paik, K. R. C. Koswatte and Wuhui Chen, Recommendation for Web Services with Domain Specific Context Awareness, Proceedings of IEEE Symposium Series on Computational Intelligence (SSCI), Orlando, Florida, U.S.A. December, 2014.
  72. K.R.C. Koswatte, Incheon Paik and B.T.G.S. Kumara, Meta-Framework for Semantic TRIZ, Proceedings of IEEE Symposium Series on Computational Intelligence (SSCI), Orlando, Florida, U.S.A. December, 2014
  73. Dingkun Li, Minghao Piao, Keunho Ryu, Hosun Shon, Incheon Paik, "One Pass Preprocessing for Token-based Source Code Clone Detection", Proccedings on IEEE International Conference on Awareness Science & Technology, 2014. pp.101-106.
  74. Incheon Paik,Improved Malicious Code Classification Considering Sequence by Machine Learning, Proceedings of The 18th IEEE International Symposium on Consumer Electronics, Jeju, Korea, June 2014.
  75. Banage T. G. S. Kumara, Incheon Paik, Hiroki Ohashi, Yuichi Yaguchi, Wuhui Chen, Context Aware Filtering and Visualization of Web Service Clusters, Proceedings of International Conference on Web Service (ICWS 2014), Alaska, U.S.A. June 2014.
  76. Banage T. G. S. Kumara, Incheon Paik, Hiroki Ohashi, Wuhui Chen, Koswatte R. C. Koswatte, Context Aware Post-Filtering for Web Service Clusters, Proceedings of International Conference on Service Computing (SCC 2014), Alaska, U.S.A. June 2014.
  77. Incheon Paik, Domain Independent Active Situation Awareness Framework on Big Data Infrastructure, Proceedings of the 2014 FTRA International Conference on Advanced Computing and Services (ACS-14), Jeju, Korea, Feb., 2014.
  78. I. Paik, W. Chen, B.T.G.S. Kumara, T. Tanaka, Z. Li, Y. Yaguchi, Linked data-based Service publication for Service Clustering, Proceedings of the 5th FTRA International Conference on Computer Science and its Applications (CSA-13), Danang, Vietnam, December, 2013
  79. I. Paik, R. Komiya, K. Ryu, Customizable Active Situation Awareness Framework Based on Meta-Process in Ontology, Proceedings of International Conference on Awareness Science and Technology (iCAST) 2013, Aizu, Fukushima Japan, Nov., 2013
  80. T. Tashiro, W. Chen, I. Paik, Constructing Web-Scale Functional Map on Global Social Service Network for Workflow-as-a-Service, Proceedings of International Conference on Awareness Science and Technology (iCAST) 2013, Aizu, Fukushima Japan, Nov., 2013
  81. H. Ohashi, I. Paik, B.T.G.S. Kumara, Calculating Word Similarity for Context Aware Web Service Clustering, Proceedings of International Conference on Awareness Science and Technology (iCAST) 2013, Aizu, Fukushima Japan, Nov., 2013
  82. B.T.G.S. Kumara, I. Paik, Y. Yaguchi, H. Ohashi, Web Service Filtering and Visualization with Context Aware Similarity to Bootstrap Clustering, Proceedings of International Conference on Awareness Science and Technology (iCAST) 2013, Aizu, Fukushima Japan, Nov., 2013
  83. I. Paik, T. Takazumi, H. Ohashi, W.Chen,  Big Data Infrastructure for Active Situation Awareness on Social Network Services,Proceedings of IEEE 2nd International Congress on Big Data, Santa Clara, CA, USA, July 2013.
  84. B. T. G. S. Kumara, Y. Yaguchi, I. Paik, W. Chen, Clustering and Spherical Visualization of Web Services, Proceedings of IEEE International Conference on Service Computing, Santa Clara, CA, USA, July 2013. 
  85. B. T. G. S. Kumara, I. Paik, W. Chen, Web-service Clustering with a Hybrid of Ontology Learning and Information-retrieval-based Term Similarity, Proceedings of IEEE International Conference on Web Services, Santa Clara, CA, USA, July 2013.
  86. W. Chen, I. Paik, T. Tanaka, B. T. G. S. Kumara, Awareness of Social Influence for Service Recommendation, Proceedings of IEEE International Conference on Service Computing, Santa Clara, CA, USA, July 2013.
  87. V.W. Chu, R.K. Wong, W. Chen, I. Paik, C. H. Chi, Service Discovery Based on Objective and Subjective Measures, Proceedings of IEEE International Conference on Service Computing, Santa Clara, CA, USA, July, 2013. 
  88. W. Chen, I. Paik, T. Tanaka, B. Kumara, Awareness of Social Influence on Linked Social Service, Proceedings of IEEE International Conference on Cybernetics, Lausanne Switzerland, June 2013.
  89. S. Kumara, I. Paik, G. Lee, Ontology Learning Method for Web Services Clustering,  ICCIT 2012, Seoul, Korea, China, December, 2012.
  90. P. Hung, W. Chen, I. Paik, Privacy Issues in SOAP Message Exchange Pattern for Social Services , The International Workshop on Privacy-AwaRe Intelligent Systems (PARIS 2012), to be held in conjunction with the 20th International Symposium on Methodologies for Intelligent Systems (ISMIS), Macau, December 4-7, 2012.
  91. X. Yu, M. Li, I. Paik, K. Ryu, Prediction of Web User Behavior by Discovering Temporal Relational Rules from Web Log Data, DEXA, 2012.
  92. E. Shin, T. Munkhdalai, M. Li, I. Paik, K. Ryu, A Self-training with Active Example Selection Criterion for Biomedical Named Entity Recognition, ICHIT, 2012.
  93. W. Chen, I. Paik, and P. Hung, Linked Social Service: Connecting Isolated Services into a Global Social Service Network, The 2012 IEEE Asia-Pacific Services Computing Conference (APSCC), Guilin, China, December 6-8, 2012.
  94. I. Paik, W. Chen, R. Komiya, K. Lee, Active Situation Awareness Framework for Social Network Services, Proceedings of International Conference Awareness Science and Technology (iCAST 2012), Seoul, Korea, pp. 54-57, 2012.
  95. W. Chen, I. Paik, D. Kang, T. Tanaka, Service Discovery based on Tree Structure, Proceedings of International Conference Awareness Science and Technology (iCAST 2012), Seoul, Korea, pp. 218-223, 2012.
  96. W. Chen, R. Tashiro, I. Paik, T. Tanaka, Connecting Isolated Service Islands into Global Social Service Network, Proceedings of International Conference Awareness Science and Technology (iCAST 2012), Seoul, Korea, pp. 263-268, 2012.
  97. W. Chen, I. Paik, Tetsuya Tashiro, D. Kang, Global Service Space for workflow as a service, Proceedings of International Conference Awareness Science and Technology (iCAST 2012), Seoul, Korea, pp. 269-274, 2012.
  98. W. Chen, I. Paik, and R. Komiya, Linked Social Service: Evolving from an Isolated Service into a Global Social Service Network, Proceedings of IEEE International Conference on Web Services 2012, Honolulu, Hawaii, USA, pp. 618-619, June, 2012.
  99. I. Paik and R. Komiya, Active Situation Awareness on Web APIs for Information on Social Network Services, Proceedings of IEEE International Conference on Service Economics 2012, Honolulu, Hawaii, USA, pp. 68-69, June, 2012.
  100. W. Chen, I. Paik, and R. Komiya, Global Service Space Construction and Its Application to Workflow as a Service, Proceedings of IEEE International Conference on Service Computing 2012, Honolulu, Hawaii, USA, pp. 547-554, June, 2012.
  101. I. Paik, K. Kim, W. Park, R. Komiya, Information Infrastructure for Innovative Product Design in SCM Using Semantic TRIZ, Proceedings of IEEE 3rd International Conference on Awareness Science and Technology, Dalian, China, September 27-30, 2011.
  102. R. Komiya, Incheon Paik, Masayuki Hisada, Classification of Malicious Web Code by Machine Learning, Proceedings of IEEE 3rd International Conference on Awareness Science and Technology, Dalian, China, September 27-30, 2011.
  103. I. Paik, W. Chen, R. Komiya,  Identification of Semistructured Abstract Nonfunctional Properties for Automatic Service Composition, Proceedings of the IEEE International Conference on Web Services (ICWS 2011), Washington D.C. USA, July, 2011.
  104. I. Paik, W. Chen, R. Komiya, “A Functional Scalable Architecture for Automatic Service Composition", 2011 IEEE World Congress on Services (SERVICES 2011), Washington D.C. USA, July, 2011.
  105. I. Paik, H. Takada, W. Chen, "Transformation of Semi-Structured Abstract Non-Functional Properties for Service Composition", The 3rd Workshop on NFPSLAM-SOC'09, Naya, Cyprus, Nov. 2010.
  106. I. Paik, E. Fujikawa, S. Kim, "Aggregating Web Service Matchmaking Variants Using Web Search Engine and Machine Learning", Proceedings of ISAC 2010, Taiwan, Nov. 2010.
  107. I. Paik, W. Chen, "Semantic Words Similarity in Triple Relation Using Intermediate Concept by PLSI ", Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, Istanbul, Turkey, Oct. 2010.
  108. I. Paik, S. Mori, W. Chen, "Design of User Interface for Automatic Service Composition", Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, Istanbul, Turkey, Oct. 2010.
  109. H. Mizugai, I. Paik, Wuhui Chen, "Scalable Orchestration Strategy for  Automatic Service Composition", Proceedings of the IEEE International Conference on Computer Information Technology (CIT'2010), Bradford, UK, June, 2010.
  110. H. Takada, I. Paik, Transformation of Non-Functional Properties for Automatic Service Composition, Proceedings of The 3rd Workshop on Non-Functional Properties and SLA Management in Service-Oriented Computing NFPSLAM-SOC'09, Stockholem, Sweden, Nov. 2009.
  111. I. Paik, H. Takada, Modeling and Transforming Abstract Constraints for Automatic Service Composition, Proceedings of the IEEE International Conference on Computer Information Technology (CIT'2009), Xiamen, China, October, 2009.
  112. H. Mizugai, H. Takada, and I. Paik, Performance Evaluation of Recommendation System Using Weighted TF-IDF and Naive Bayes Classifier on RSS Contents, Fuzzy And NeuralNetwork Conference, The 19th Intelligent System Symposium (FAN 2009), Aizu, Japan, Sep. 2009.
  113. N. Stankovic, I. Paik, MODELING A TEAM PROJECT, International Association of Technology, Education and Development(INTED) Conference, Valencia, Spain, March 2009.
  114. N. Stankovic, I. Paik, SOFTWARE ENGINEERING LABORATORY, International Association of Technology, Education and Development(INTED) Conference, Valencia, Spain, March 2009.
  115. H.Takada, I. Paik, Design of General User Interface for AutomaticWeb Service Composition, Joint Workshop on Frontier of Computer Science and Technology (FCST), Nagasaki, Japan, Dec. 2008.
  116. H. Mizugai, I. Paik, and S. Kanemoto, Text Categorization Using Latent Topics as Additional Features,  Proceedings of the 2008 International Computer Symposium (ICS 2008), Damsui, Taiwan, November, 2008
  117. I. Paik, H. Takada, and Michael N. Huhns,  Transforming Abstract QoS Requirements, Preferences, and Logic Constraints for Automatic Web Service Composition, Proceedings of the IEEE International Conference on Web Services (ICWS 2008), Beijing, China, September, 2008.
  118. I. Paik, D. Maruyama, Automatic Web Services Composition Using Combining HTN and CSP, Proceedings of the IEEE International Conference on Computer Information Technology (CIT'2007), Aizu, Japan, October, 2007.
  119. I. Paik, Automatic Services Composition for Semantic Ubiquitous Healthcare,  Semantic Application to Ubiquitous Healthcare Workshop, International Semantic Web Conference, Busan, Korea, 2007.
  120. I. Paik, H. Suzuki, Pattern Templates for Automating Business Choreography on Web Services, Proceedings of IEEE AINA 2007 Conference, Ubisafe 2007 workshop, Ontario, Canada, May, 2007.
  121. I. Paik, D. Maruyama, M. Huhns, A Framework for Intelligent Web Services: Combined HTN and CSP Approach , Proceedings of the 2006 IEEE International Conference on Web Services (ICWS 2006), Chicago, U.S.A, September, 2006.
  122. D. Maruyama, Incheon Paik, Mitsuteru Shinozawa, A Flexible and Dynamic CSP Solver for Web Service Composition in the Semantic Web Environment, Proceedings of the IEEE International Conference on Computer Information Technology (CIT'2006), Seoul Korea, September, 2006.
  123. Yuu Watanabe, Incheon Paik, Intelligent Web Services for Dynamic Constraints using Semantic Web Rules, Proceedings of International Conference on Human and Computer, Aizu & Tokyo, Japan, 2005.
  124. Ken Nariai, Incheon Paik, Mitsuteru Shinozawa, Planning and Composition of Web Services with Dynamic Constraints Using Situation Calculus, Proceedings of International Conference on Computer Information Technology (CIT'2005), Shanghai, China, 2005
  125. I. Paik, H. Akimoto, Constructing Ontology Querying System for Design Support in Supply Chain, International Conference on Information Technology and Applications(ICITA'2005) July , 2005, Sydney, Australia.
  126. I. Paik, S. Takami, Y. Watanabe, "Autonomous Agent to Support Design in Supply Chain Based on Semantic Web Service ", Proceedings of  Int. Conf. of Hybrid Intellisgent System, KitaKyusyu, Japan, Dec. 2004.
  127. D. Maruyama, I. Paik, Y. Watanabe, Toward a Multi-Mobile Agent System on Semantic Web Service: Design Support in Supply Chain, Proceedings of DMS 2004, San Francisco, Sep. 2004.
  128. I. Paik, Md. S. Hossain, Md. T. Hossain, Automating Business Transaction and Negotiation in Supply Chaines Using Web Service Composition, Proceedins of CIT 2004 Conference, Wuhan, China, Sep. 2004.
  129. T. Hossain, I. Paik, "Automated Business Process Choreography for Business Transaction and Negotiation in B2B Collaboration", Proceedings of Fifth International Conference on Human & Computer, Aizu & Tokyo, Sep. 2004.
  130. I. Paik, H. Akimoto, S. Takami, Automating Design Support in Supply Chains on Semantic Web Services, Proceedings of the WWW2004 Workshop on Application Design, Development and Implementation Issues in the Semantic Web, New York, NY, USA, May 18, 2004. CEUR Workshop Proceedings, ISSN 1613-0073, http://CEUR-WS.org/Vol-105/ .
  131. I. Paik, W. Park, Directory Service Component Architecture for a Distributed Infrastructure to Support Innovative Business to Business Collaboration, Procd. of DMS 2002, San Francisco, 2002.
  132. I. Paik, Design of Ontology to Support the Design and Plan on Supply Chain Management of B2B, Proc. of CIT 2002, Aizu, 2002.
  133. Jintae Lee and Incheon Paik, Structural Analysis of On-Line Curves Based on Topological Turning Patterns, Proc. of 5th Asian conference on Computer Vision, Austrailia , 2002
  134. I. Paik, T. Han, Analysis and Design of Goods Information Management System (GIMS) and GIMS Framework For Electronic Commerce at CBD perspective, Proceedings of CIT'2001, Shanghai, P.R. China, Sep. 13-14, 2001.
  135. I. Paik, T. Han, A Component Archtecture for Business-to-Business e-Business Search System, Proceedings of CIT'2001, Shanghai, P.R. China, Sep. 13-14, 2001.
  136. I. Paik, Analysis and Design of Goods Information System for Electronic Commerce at the Perspective of CBD, Proceedings of SNPD 2001, Nagoya, Japan, Aug. 20-22, 200.
  137. T. Han, I. Paik, Gathering Services of the Information Harvest Warehouse(IHWA) System, Proceedings of SCI00,  Florida, USA, Jul. 21, 2000.
  138. T. Han, I. Paik, Novel Component Architecture for Electronic Commerce Search System, Proceedings of SNPD'00, Reims, France, May 18-20, 2000.
  139. I. Paik, T. Han, Design and Implementation of Electronic Commerce Search Engine Components,  Proceedings of AoM/IAoM 17th International Conference on Computer Science, San Diego, August 6-8, 1999.
  140. I. Paik, T. Han, Universal Electronic Commerce Framework and Distributed Object Services Based on SET Protocol, Proceedings of IASTED Conference on SE, Las Vegas, 1998.
  141. I. Paik, Novel Framework Architecture for Electronic Commerce Software System Based on SET Protocol, Proceedings of International Conference on Internet Technology (ISIT98), Taiwan, 1998.
  142. I. Paik, W. Li, Design of Scalable User Oriented Internet Information Search System Using Distributed Object, Proceedings of International Conference on TOOLS 24, pp471-474,  Beijing, 1997.
  143. I. Paik, K. Paek, T. Cha, A STUDY ON THE DESIGN OF THE DATA CRYPTOGRAPHY  PROCESSOR FOR LINEARLY SHIFT KNAPSACK SYSTEM,  Proceedings of JTC-CSCC '992 pp.665 - 668, Kyeongju, 1992.
  144. I. Paik, N. Park, T. Cha, Design and Implemetation of Content Addressable Memory,  Proceedings of ICCT, CT.3.9.1-CT.3.9.4, Beijing, 1990.

BOOK

Non-Refereed Papers (Domestic)

  1. Incheon Paik, Tomoya Maemori, Improvement of Trust Value Prediction Using Text Mining for Recommender System, 19th IEICE Service Computing Branch Meeting Technical Report, August 26, 2016. 
  2. Yuichi Yamada,Chen Wuhui,Yuji Ishiduka,Paik Incheon, Optimal allocation algorithms for geo-distributed data center topology, 18th IEICE Service Computing Branch Meeting Technical Report, June 3-4, 2016. 
  3. Rupasingha Arachchilage Hiruni Madhusha Rupasingha,Incheon Paik,Banage Thenne Gedara Samantha Kumara, Improving Web Service Clustering using Ontology Learning with Machine Learning, 18th IEICE Service Computing Branch Meeting Technical Report, June 3-4, 2016.
  4. Yutaka Koshiba, Incheon Paik, Wuhui Chen, Construction of Global Social Service Network for Discovery Based on Big Data Infrastructure,  18th IEICE Service Computing Branch Meeting Technical Report, June 3-4, 2016.
  5. Akila Siriweera, Incheon Paik, Big Data Analytic Service Discovery using Social Service Network with Workflow Awareness,  18th IEICE Service Computing Branch Meeting Technical Report, June 3-4, 2016.
  6. Yui Takeda,Incheon Paik, Evaluation of a Web Page Readability Using Ontology Reasoning,  18th IEICE Service Computing Branch Meeting Technical Report, June 3-4, 2016.
  7. Hikaru Sakai,Rupasingha Arachchilage Hiruni Madhusha Rupasingha, Incheon Paik, Performance Evaluation of Taxonomy Classification Using Machine Learning,  18th IEICE Service Computing Branch Meeting Technical Report, June 3-4, 2016.
  8. Yuji ISHIZUKA,Wuhui CHEN,and Incheon PAIK, Workflow Transformation for Real-Time Big Data Processing, 16th IEICE Service Computing Branch Meeting Technical Report, Jan. 15, 2016. 
  9. Takazumi Tanaka, Incheon Paik, Wuhui Chen, Optimal Data Placement Considering Parallel Processing on Geo-Distributed Big Data Center,15th IEICE Service Computing Branch Meeting Technical Report, October 2, 2015. 
  10. T.H.A.S. Siriweera, Incheon Paik, Banage T.G.S. Kumara, K.R.C. Koswatte, An Architecture to Intelligent Big Data Analysis, IEICE Service Computing Branch Meeting Technical Report Vol. 115, No. 72, June 5, 2015. pp. 33-36.
  11. T.H.A.S. Siriweera, Incheon Paik, Banage T.G.S. Kumara, K.R.C. Koswatte, Workflow Generation for Service Composition of Big Data Analytics, IEICE Service Computing Branch Meeting Technical Report Vol. 115, No. 72, June 5, 2015. pp. 37-42
  12. Banage Thenne Gedara Samantha Kumara, Incheon Paik, Koswatte Ralalage Chathurika Koswatte, and Akila Siriweera, Web Service Discovery with Domain Specific Context Awareness, IEICE Service Computing Branch Meeting Technical Report Vol. 114, No. 510, Mar. 27, 2015.
  13. Koswatte Ralalage Chathurika Koswatte, Incheon Paik, Banage Thenne Gedara Samantha Kumara, Akila Siriweera, Towards Meta-Framework for Semantic TRIZ, , IEICE Service Computing Branch Meeting Technical Report Vol. 114, No. 510, Mar. 27, 2015.
  14. Wuhui Chen, Tetsuya Tashiro, Incheon Paik, Samantha Kumara, Topology-aware Heuristic Data Allocation Algorithm for Big Data Infrastructure, , IEICE Service Computing Branch Meeting Technical Report Vol. 114, No. 510, Mar. 27, 2015.
  15. THAS Siriweera, Incheon Paik, B T G S Kumara, K R C Koswatte, E-Learning Solution Using Hybrid Cloud Concept, IEICE Service Computing Branch Meeting Technical Report Vol. 114, No. 510, Mar. 27, 2015.
  16. Rupasingha Arachchilage Hiruni Madhusha Rupasingha, Incheon Paik, Sugeeswari Lekamge, Mobile transactions on network society, IEICE Service Computing Branch Meeting Technical Report Vol. 114, No. 510, Mar. 27, 2015.
  17. Banage T.G.S. Kumara, Incheon Paik, Hiroki Ohashi, Yuichi Yaguchi, Context Aware Web Service Similarity and Visualizatin, IEICE SC Branch Meeting Technical Report SC2013-18, 2014. pp. 31-36.
  18. H. Ohashi, I. Paik, Calculating Word Similiarity for Context Aware Web Service Clustering, IEICE Service Computing Branch Meeting Technical Report Vol. 112, No. 497, Mar. 15, 2013. pp. 29-31.
  19. W. Chen, I. Paik, T. Tashiro, Awareness of Social Influence on Linked Social Service, IEICE Service Computing Branch Meeting Technical Report Vol. 112, No. 497, Mar. 15, 2013. pp. 25-28.
  20. T. Tashiro, W. Chen, I. Paik, Constructing Web-Scale Functional Map on Global Social Service Network for Workflow-as-a-Service, IEICE Service Computing Branch Meeting Technical Report Vol. 112, No. 497, Mar. 15, 2013. pp. 19-24.
Refereed Conference PROCEEDINGS or Articles (In Korean)

  1. The Performance Evaluation of IHWA E-Commerce Search Component System, Proceedings of KISS Conference, 2000
  2. Analysis and Design of E-Commerce Payment Component System Based on SET, Proceedings of KIISC Conference, 2000.
  3. Storing XML Documents Using Oracle8i XDK, Proceedings of Korea Multimedia Society Spring Conference, 2000.
  4. Design of Search System Components For Electronic Commerce, Proceedings of Korea Information Processing Society Fall Conference, 1999.
  5. Framework Architecture for Electronic Commerce Software System Based on SET Protocol, Proceedings of the 25th KISS Spring Conference, 1998.
  6. Design of Layout Synthesis Language using Object Oriented Analysis, Proceedings of  KISS, 1994
  7. Implementation of Optimal Cell Layout Generator Using Simulated Annealing,  Proceedings of KICS Fall Conf., Vol.11, No.2, pp 492-495,1992.
  8. A Study on the Encryption and Decryption Using Pseudo-Random One-Time Pad,   Proceedings of KICS Fall Conf., Vol.10, No.3, pp 100-102, 1991.
  9. A Study on the High Speed Subranging A/D Converter using BICMOS PROCESS,  Proceedings of KICS Summer Conf., Vol.10, No.2, pp 421-426, 1991.
  10. A Study on the Implementation of One-Chip Echo Canceller,  Proceedings of KICS Summer Conf., Vol.9, No.2, pp 520-524, 1990.
  11. Design of Content Addressable and Reentrant Memory,  Proceedings of KITE Summer Conf., Vol.13, No.1, pp 333-336, 1990.


PROJECTS & TECHINCAL REPORTS

Ph.D THESIS, August , 1992

Internal Research Reports

Students' Theses