Research Publications
An IoT Implementation for Vacancy State of Public Coin Operated Washing Machine Using Vibration Level Sensors in an Apartment Setting in Thailand
By: Setthawong, P., Osothsilp, A., and Triyason, T., The 4th International Conference on Mobile and Wireless Technology(ICMWT 2017), pp.129-138, Kuala Lumpur, Malaysia, June 2017.
HIERARCHICAL CLUSTERING OF M.Sc. STUDENTS : AN IMPROVEMENT TO DIVISIVE ANALYSIS
By: Lavangnananda, K., and Kankhetr, T., The 14th International Conference on Efficiency and Responsibility in Education (ERIE2017), Prague, Czech Republic, June 2017.
Evolution of Smart Homes for the Elderly
By: Kon, B., Lam, A., and Chan, J.H., The 26th International Conference on World Wide Web Companion, WWW ’17 Companion, Perth, Australia, pp. 1095-1101. DOI: http://dx.doi.org/10.1145/3041021.3054928, April 2017.
Serious Games for Dementia
By: Tong, T., Chan, J.H., and Chignell, M., The 26th International Conference on World Wide Web Companion, WWW ’17 Companion, Perth, Australia, pp. 1111-1115. DOI: http://dx.doi.org/10.1145/3041021.3054930, April 2017.
Distillation of Knowledge from the Research Literature on Alzheimer’s Dementia
By: Kongburan, W., Chignell, M., and Chan, J.H., The 26th International Conference on World Wide Web Companion, WWW ’17 Companion, Perth, Australia, pp. 1137-1140. DOI: http://dx.doi.org/10.1145/3041021.3054934, April 2017,
A Framework for MOOC Content Generation
By: Ongvisatepaiboon, K., and Chan, J.H., THE CANADIAN ENGINEERING EDUCATION ASSOCIATION’S ANNUAL CONFERENCE – CEEA2017, Paper No. 175, pp. 1-5, Toronto, Canada, june 2017.
SIT Academy: Online learning using the MOOC approach
By: Sirikojakorn, T., Chamamahattana, J., Vanijja, V., Charoenkitkarn, N., and Chan, J.H., THE CANADIAN ENGINEERING EDUCATION ASSOCIATION’S ANNUAL CONFERENCE – CEEA2017, pp. 1-5, Toronto, Canada, june 2017.
CLASSROOM ON DEMAND: FAST AND FRESH VIDEO CONTENT GENERATOR
By: Kanthamanon, P., Chutimaskul, W., and Vanijja, V., THE CANADIAN ENGINEERING EDUCATION ASSOCIATION’S ANNUAL CONFERENCE – CEEA2017, Paper No. 177, pp. 1-4, Toronto, Canada, June 2017.
Stakeholder Involvement In Teaching And Learning
By: Supasitthimethee, U.,Waraporn, N., Porkaew, K., and Charoenkitkarn, N., Poster Session,CEEA/ACEG 2017 Conference,Toronto, Canada, June 2017.
การเพิ่มประสิทธิผลการเรียนรู้ของเจนเนอเรชันแซดผ่านการเรียนรู้แบบไมโคร “Learning Effectiveness for Generation Z using Micro Learning”
โดย ธารีย์ณิชา ลีพีรวิทิต,กว้าน สีตะธนี, และ วิเชียร ชุติมาสกุล, The 13th National Conference on Computing and Information Technology-NCCIT2017, หน้า 57, กรุงเทพ, กรกฎาคม 2560
Internet-of-Things and Smart Homes for Elderly Healthcare: An End User Perspective.
By: Pal, D., Funilkul, S., Charoenkitkarn, N., and Kanthamanon, P., To be appeared in IEEE Access, United States, ISSN 21693536, February 2018.
Post-Fall Intelligence Supporting Fall Severity Diagnosis Using Kinect Sensor
By: Watanapa, B., Patsadu, O., Dajpratham, P., and Nukoolkit, C., Applied Computational Intelligence and Soft Computing, Publisher:Hindawi Limited, ISSN:1687-9724E-ISSN:1687-9732, June 2018
ปัจจัยที่มีอิทธิพลต่อความตั้งใจในการใช้งานแอปพลิเคชัน Protect Plants บนสมาร์ตโฟนของเกษตรกรในจังหวัดสุราษฎร์ธานี
By: เมธาวี นวลเศษ, และ วิทิดา จงศุภชัยสิทธิ์, The National Conference on Learning Innovation in Science and Technology (ICLIST & NCLIST 2018), Hua Hin, Thailand , March 2018.
การยอมรับของผู้เรียนในการใช้งานระบบจัดการการเรียนรู้ขนาดเล็กสำหรับตรวจแก้ข้อผิดพลาดในการเขียนภาษาอังกฤษ (Students’ Acceptance in the Use of Micro Learning Management System for Error Correction in English Writing)
By: ภาคภูมิ อิทธิรัตนะโกมล, วิทิดา จงศุภชัยสิทธิ์, และพัชราภรณ์ ลวันยานนท์, การประชุมสวนสุนันทาวิชาการระดับชาติ ด้าน “การวิจัยเพื่อการพัฒนาอย่างยั่งยืน” ครั้งที่ 6( The 6th Suan Sunandha Academic National Conference on Research for Sustainable Development 2017), กรุงเทพมหานคร, มิถุนายน 2560
A Video Quality Prediction Model for the Elderly
By: Pal, D., and Vanijja, V., The AMCH2017-Workshop on Aging Well with Technology for Maintaining Good Mental and Cognitive Health, The 26th International World Wide Web Conference, 2017 ,The Perth Convention and Exhibition Centre (PCEC), Perth,Australia, April 2017.
The effect of Aging on Visual Attention Shifting in Collaborative Document Editing
By: Duangcham, P., Vanijja, V., and Mizobuchi, S., The AMCH2017-Workshop on Aging Well with Technology for Maintaining Good Mental and Cognitive Health, The 26th International World Wide Web Conference, 2017 ,The Perth Convention and Exhibition Centre (PCEC), Perth,Australia, April 2017.
ขอเชิญเข้าร่วมการสัมมนา The Research Talk: “Prospects and Challenges of Deep Learning: Theory and Practice”
“Prospects and Challenges of Deep Learning: Theory and Practice” โดย Prof. Dr. Sung-Bae Cho,
Department of Computer Science, Yonsei University, Seoul, ประเทศเกาหลี
วันพฤหัสบดีที่ 21 ธันวาคม 2560 เวลา 13.00 น. – 16.00 น.
ณ ห้อง training 4/1 ชั้น 4 คณะเทคโนโลยีสารสนเทศ มจธ.
สนใจเข้าร่วม (ไม่มีค่าใช้จ่าย) ลงทะเบียน ที่ https://goo.gl/forms/aGjU6zQSkzxJcPIO2
เพื่อสำรองที่นั่ง ภายในวันที่ 19 ธันวาคม 2560
ถ้าต้องการข้อมูลเพิ่มเติม กรุณาติดต่อ คุณปวีณา มงคลพงศ์สิริ email:paweena@sit.kmutt.ac.th
_Abstract: _ Recently, deep learning opens another renaissance of artificial intelligence that is a long dream of human-beings. There are four representative models for deep learning, and two of them can be convolutional neural networks and recurrent neural networks. In this talk, I will give the general idea of both methods, and discuss about the prospects and challenges. Especially, to work out realistic problems, we need a hybrid architecture of several deep learning models. I will also present a generative model via an adversarial process gets a great attention due to the amazing demonstration of performance. It can simultaneously train a generative model to capture the data distribution, and discriminative model to estimate the probability that a sample came from the training data. In this talk, we present a new method of transfer-generative adversarial network (tGAN) with auto-encoders to detect anomaly in malicious software (malware) for computer security. Experiments with the malware dataset from the Kaggle Microsoft malware classification challenge (https://www.kaggle.com/c/malware-classification) show that the tGAN achieves 95.74% average classification accuracy which is higher than accuracy of other state-of-the-art methods and increases the learning stability.
_Short Bio_ Dr. Cho received the Ph.D. degree in computer science from KAIST (Korea Advanced Institute of Science and Technology), Korea, in 1993. He was an Invited Researcher of Human Information Processing Research Laboratories at Advanced Telecommunications Research (ATR) Institute, Japan from 1993 to 1995, and a Visiting Scholar at University of New South Wales, Australia in 1998. He was also a Visiting Professor at University of British Columbia, Canada from 2005 to 2006. Since 1995, he has been a Professor in Department of Computer Science, Yonsei University, Korea. Dr. Cho has been serving as an associate editor for several journals including IEEE Transactions on CI and AI on Games (2009-present) and IEEE Transactions on Fuzzy Systems (2013-present). He was also the chair of Games Technical Committee, IEEE CIS (2009-2010), and Student Games-based Competition Subcommittee, IEEE CIS (2011-2012). He is a member of Board of Government (BoG) of Asia Pacific Neural Networks Assembly (APNNA) (2011-present), and a member of three technical committees in IEEE CIS such as Emergent Technologies, Computational Finance and Economics, and Games. His research interests include hybrid intelligent systems, soft computing, evolutionary computation, neural networks, pattern recognition, intelligent man-machine interfaces, and games. He has published over 230 journal papers, and over 680 conference papers.
A Predictive Model for Successful Software Development Projects with Information Technology Strategic Alignment
By: Sakul-Ung, P., and Chutimaskul, W., The 6th International Conference on Software and Computer Applications (ICSCA 2017),Bangkok, Thailand, Febuary 2017.
The 10th International Conference on Advances in Information Technology (IAIT2018)
URL: http://www.iait-conf.org/2018/
ABOUT
The 10th International Conference on Advances in Information Technology (IAIT2018), with the theme of “Leveraging AI and IoT in a Smart Digital Society”, will be held in Bangkok, Thailand, December 10-13, 2018.
IAIT2018 In today’s inter-connected global environment, digital technologies are fast becoming ubiquitous in everyday life. The rapid emergence of aging societies around the world prompts more urgent needs for having more affordable and easy to set up “Smart Digital Societies”, in which assistive technologies are used inside homes and offices with high performance and efficiency obtained by leveraging Artificial Intelligence (AI) and Internet of Things (IoT) solutions and platforms. Adoption of IoT and AI technologies such as those found in smart tracking devices, smartphones, and other embedded devices, enhances existing information systems and adds the dimension of mobility. Such advances expand the horizon of endless possibility in research and development in a Smart Digital Society.
The reviewing process of the IAIT conference aims to provide authors with constructive feedback on their papers, even when a submission is rejected. All submissions will be subjected to double-blind peer reviews by at least three (3) reviewers, who are experts or have much experience in related field for years. The accepted papers must be revised, taking into consideration the referees’ comments and suggestions, before inclusion in the conference proceedings, which is tentatively to be published by ACM Digital Library (EI and SCOPUS indexed). IAIT2018 will be collocated with CSBIO2018, providing great opportunity for IAIT participants to meet researchers in other related fields as well.
Study of Discretization Methods in Classification
By: Lavangnananda, K., and Chattanachot, S., The 9th International Conference on Knowledge and Smart technology (KST-2017),pp.50-55, Pattaya, Thailand, February 2017.
Internet-of-Things and Smart Homes for Elderly Healthcare: An End User Perspective.
By: Pal, D., Funilkul, S., Charoenkitkarn, N., and Kanthamanon, P., To be appeared in IEEE Access, United States, ISSN 21693536, February 2018.
Post-Fall Intelligence Supporting Fall Severity Diagnosis Using Kinect Sensor
By: Watanapa, B., Patsadu, O., Dajpratham, P., and Nukoolkit, C., Applied Computational Intelligence and Soft Computing, Publisher:Hindawi Limited, ISSN:1687-9724E-ISSN:1687-9732, June 2018
ปัจจัยที่มีอิทธิพลต่อความตั้งใจในการใช้งานแอปพลิเคชัน Protect Plants บนสมาร์ตโฟนของเกษตรกรในจังหวัดสุราษฎร์ธานี
By: เมธาวี นวลเศษ, และ วิทิดา จงศุภชัยสิทธิ์, The National Conference on Learning Innovation in Science and Technology (ICLIST & NCLIST 2018), Hua Hin, Thailand , March 2018.
การยอมรับของผู้เรียนในการใช้งานระบบจัดการการเรียนรู้ขนาดเล็กสำหรับตรวจแก้ข้อผิดพลาดในการเขียนภาษาอังกฤษ (Students’ Acceptance in the Use of Micro Learning Management System for Error Correction in English Writing)
By: ภาคภูมิ อิทธิรัตนะโกมล, วิทิดา จงศุภชัยสิทธิ์, และพัชราภรณ์ ลวันยานนท์, การประชุมสวนสุนันทาวิชาการระดับชาติ ด้าน “การวิจัยเพื่อการพัฒนาอย่างยั่งยืน” ครั้งที่ 6( The 6th Suan Sunandha Academic National Conference on Research for Sustainable Development 2017), กรุงเทพมหานคร, มิถุนายน 2560
A Video Quality Prediction Model for the Elderly
By: Pal, D., and Vanijja, V., The AMCH2017-Workshop on Aging Well with Technology for Maintaining Good Mental and Cognitive Health, The 26th International World Wide Web Conference, 2017 ,The Perth Convention and Exhibition Centre (PCEC), Perth,Australia, April 2017.
The effect of Aging on Visual Attention Shifting in Collaborative Document Editing
By: Duangcham, P., Vanijja, V., and Mizobuchi, S., The AMCH2017-Workshop on Aging Well with Technology for Maintaining Good Mental and Cognitive Health, The 26th International World Wide Web Conference, 2017 ,The Perth Convention and Exhibition Centre (PCEC), Perth,Australia, April 2017.
ขอเชิญเข้าร่วมการสัมมนา The Research Talk: “Prospects and Challenges of Deep Learning: Theory and Practice”
“Prospects and Challenges of Deep Learning: Theory and Practice” โดย Prof. Dr. Sung-Bae Cho,
Department of Computer Science, Yonsei University, Seoul, ประเทศเกาหลี
วันพฤหัสบดีที่ 21 ธันวาคม 2560 เวลา 13.00 น. – 16.00 น.
ณ ห้อง training 4/1 ชั้น 4 คณะเทคโนโลยีสารสนเทศ มจธ.
สนใจเข้าร่วม (ไม่มีค่าใช้จ่าย) ลงทะเบียน ที่ https://goo.gl/forms/aGjU6zQSkzxJcPIO2
เพื่อสำรองที่นั่ง ภายในวันที่ 19 ธันวาคม 2560
ถ้าต้องการข้อมูลเพิ่มเติม กรุณาติดต่อ คุณปวีณา มงคลพงศ์สิริ email:paweena@sit.kmutt.ac.th
_Abstract: _ Recently, deep learning opens another renaissance of artificial intelligence that is a long dream of human-beings. There are four representative models for deep learning, and two of them can be convolutional neural networks and recurrent neural networks. In this talk, I will give the general idea of both methods, and discuss about the prospects and challenges. Especially, to work out realistic problems, we need a hybrid architecture of several deep learning models. I will also present a generative model via an adversarial process gets a great attention due to the amazing demonstration of performance. It can simultaneously train a generative model to capture the data distribution, and discriminative model to estimate the probability that a sample came from the training data. In this talk, we present a new method of transfer-generative adversarial network (tGAN) with auto-encoders to detect anomaly in malicious software (malware) for computer security. Experiments with the malware dataset from the Kaggle Microsoft malware classification challenge (https://www.kaggle.com/c/malware-classification) show that the tGAN achieves 95.74% average classification accuracy which is higher than accuracy of other state-of-the-art methods and increases the learning stability.
_Short Bio_ Dr. Cho received the Ph.D. degree in computer science from KAIST (Korea Advanced Institute of Science and Technology), Korea, in 1993. He was an Invited Researcher of Human Information Processing Research Laboratories at Advanced Telecommunications Research (ATR) Institute, Japan from 1993 to 1995, and a Visiting Scholar at University of New South Wales, Australia in 1998. He was also a Visiting Professor at University of British Columbia, Canada from 2005 to 2006. Since 1995, he has been a Professor in Department of Computer Science, Yonsei University, Korea. Dr. Cho has been serving as an associate editor for several journals including IEEE Transactions on CI and AI on Games (2009-present) and IEEE Transactions on Fuzzy Systems (2013-present). He was also the chair of Games Technical Committee, IEEE CIS (2009-2010), and Student Games-based Competition Subcommittee, IEEE CIS (2011-2012). He is a member of Board of Government (BoG) of Asia Pacific Neural Networks Assembly (APNNA) (2011-present), and a member of three technical committees in IEEE CIS such as Emergent Technologies, Computational Finance and Economics, and Games. His research interests include hybrid intelligent systems, soft computing, evolutionary computation, neural networks, pattern recognition, intelligent man-machine interfaces, and games. He has published over 230 journal papers, and over 680 conference papers.
A Predictive Model for Successful Software Development Projects with Information Technology Strategic Alignment
By: Sakul-Ung, P., and Chutimaskul, W., The 6th International Conference on Software and Computer Applications (ICSCA 2017),Bangkok, Thailand, Febuary 2017.
The 10th International Conference on Advances in Information Technology (IAIT2018)
URL: http://www.iait-conf.org/2018/
ABOUT
The 10th International Conference on Advances in Information Technology (IAIT2018), with the theme of “Leveraging AI and IoT in a Smart Digital Society”, will be held in Bangkok, Thailand, December 10-13, 2018.
IAIT2018 In today’s inter-connected global environment, digital technologies are fast becoming ubiquitous in everyday life. The rapid emergence of aging societies around the world prompts more urgent needs for having more affordable and easy to set up “Smart Digital Societies”, in which assistive technologies are used inside homes and offices with high performance and efficiency obtained by leveraging Artificial Intelligence (AI) and Internet of Things (IoT) solutions and platforms. Adoption of IoT and AI technologies such as those found in smart tracking devices, smartphones, and other embedded devices, enhances existing information systems and adds the dimension of mobility. Such advances expand the horizon of endless possibility in research and development in a Smart Digital Society.
The reviewing process of the IAIT conference aims to provide authors with constructive feedback on their papers, even when a submission is rejected. All submissions will be subjected to double-blind peer reviews by at least three (3) reviewers, who are experts or have much experience in related field for years. The accepted papers must be revised, taking into consideration the referees’ comments and suggestions, before inclusion in the conference proceedings, which is tentatively to be published by ACM Digital Library (EI and SCOPUS indexed). IAIT2018 will be collocated with CSBIO2018, providing great opportunity for IAIT participants to meet researchers in other related fields as well.
Study of Discretization Methods in Classification
By: Lavangnananda, K., and Chattanachot, S., The 9th International Conference on Knowledge and Smart technology (KST-2017),pp.50-55, Pattaya, Thailand, February 2017.
A Video Quality Prediction Model for the Elderly
By: Pal, D., and Vanijja, V., The AMCH2017-Workshop on Aging Well with Technology for Maintaining Good Mental and Cognitive Health, The 26th International World Wide Web Conference, 2017 ,The Perth Convention and Exhibition Centre (PCEC), Perth,Australia, April 2017.
The effect of Aging on Visual Attention Shifting in Collaborative Document Editing
By: Duangcham, P., Vanijja, V., and Mizobuchi, S., The AMCH2017-Workshop on Aging Well with Technology for Maintaining Good Mental and Cognitive Health, The 26th International World Wide Web Conference, 2017 ,The Perth Convention and Exhibition Centre (PCEC), Perth,Australia, April 2017.
A Predictive Model for Successful Software Development Projects with Information Technology Strategic Alignment
By: Sakul-Ung, P., and Chutimaskul, W., The 6th International Conference on Software and Computer Applications (ICSCA 2017),Bangkok, Thailand, Febuary 2017.
The 10th International Conference on Advances in Information Technology (IAIT2018)
URL: http://www.iait-conf.org/2018/
ABOUT
The 10th International Conference on Advances in Information Technology (IAIT2018), with the theme of “Leveraging AI and IoT in a Smart Digital Society”, will be held in Bangkok, Thailand, December 10-13, 2018.
IAIT2018 In today’s inter-connected global environment, digital technologies are fast becoming ubiquitous in everyday life. The rapid emergence of aging societies around the world prompts more urgent needs for having more affordable and easy to set up “Smart Digital Societies”, in which assistive technologies are used inside homes and offices with high performance and efficiency obtained by leveraging Artificial Intelligence (AI) and Internet of Things (IoT) solutions and platforms. Adoption of IoT and AI technologies such as those found in smart tracking devices, smartphones, and other embedded devices, enhances existing information systems and adds the dimension of mobility. Such advances expand the horizon of endless possibility in research and development in a Smart Digital Society.
The reviewing process of the IAIT conference aims to provide authors with constructive feedback on their papers, even when a submission is rejected. All submissions will be subjected to double-blind peer reviews by at least three (3) reviewers, who are experts or have much experience in related field for years. The accepted papers must be revised, taking into consideration the referees’ comments and suggestions, before inclusion in the conference proceedings, which is tentatively to be published by ACM Digital Library (EI and SCOPUS indexed). IAIT2018 will be collocated with CSBIO2018, providing great opportunity for IAIT participants to meet researchers in other related fields as well.
Study of Discretization Methods in Classification
By: Lavangnananda, K., and Chattanachot, S., The 9th International Conference on Knowledge and Smart technology (KST-2017),pp.50-55, Pattaya, Thailand, February 2017.
Dog Cough Sound Classification Using Artificial Neural Network and the Selected Relevant Features from Discrete Wavelet Transform
By: Kakabutr, P., SaeChen, K., Wangvisavawit, V., Padungweang, P., and Rojanapornpun O., The 9th International Conference on Knowledge and Smart Technology (KST-iCon), Chonburi,Thailand, PP. 121-125, Feb 2017
Social Network User Identification
By: Jamjuntra, L., Chartsuwan, P., Wonglimsamut, P., Porkaew, K., and Supasitthimethee, U., The 9th International Conference on Knowledge and Smart Technology(KST-iCon),pp.132-137, Chonburi, Thailand ,February 2017.
Automatic Discovering Success Factor Relationship Entities in Articles using Named Entity Recognition
By: Niboonkit, S., Krathu, W., and Padungweang, P., The 9th International Conference on Knowledge and Smart Technology (KST-iCon), Chonburi,Thailand, Feb 2017.
Smart bedroom for the elderly with gesture and posture analyses using Kinect
By: Mongkolnam, P., Booranrom, Y., Watanapa, B., Visutarrom, T., Chan, J. H., and Nukoolkit, C., Maejo International Journal of Science and Technology,Volume 11, 2017, January 2017.
An IoT Implementation for Vacancy State of Public Coin Operated Washing Machine Using Vibration Level Sensors in an Apartment Setting in Thailand
By: Setthawong, P., Osothsilp, A., and Triyason, T., The 4th International Conference on Mobile and Wireless Technology(ICMWT 2017), pp.129-138, Kuala Lumpur, Malaysia, June 2017.