Publications
Measuring Data Locality Ratio in Virtual MapReduce Cluster Using WorkflowSim
By: Wangsom, P., Lavangnananda, K., and Bouvry, P., The 14th International Joint Conference on Computer Science and Software Engineering (JCSSE2017),pp.43, Nakhon Si Thammarat, Thailand, July 2017.
A Linear Discriminant Analysis Using Weighted Local Structure Information
By: Ketsuwan, R., and Padungweang, P. The 14th International Joint Conference on Computer Science and Software Engineering (JCSSE2017),Twin lotus hotel, Nakhon Si Thammarat, Thailand, July 2017.
A Multiple-stage Classification of Fall Motions Using Kinect Camera
By: Patsadu, O., Watanapa, B., and Nukoolkit, C., International Conference on Computing and Information Technology IC2IT 2017: Recent Advances in Information and Communication Technology 2017 pp. 118-129, Bangkok, July 2017.
Meerkat: A Framework for Developing Presence Monitoring Software based on Face Recognition
By: Assarasee, P., Krathu, W., Triyason, T., Vanijja, V., and Arpnikanondt, C., The 10th International Conference on Ubi-media Computing and Workshops(Ubi-Media 2017), Pattaya, Thailand, August 2017.
WiFi Indoor Positioning with Binary Search Method
By: Watcharasukchit, S., Triyason, T., Krathu, W., Tassanaviboon, A., and Arpnikanondt, C., The 10th International Conference on Ubi-media Computing and Workshops(Ubi-Media 2017), Pattaya, Thailand, August 2017.
Visualizing Thai stock performance using parallel coordinates
By: Li, B., Wijitcharoen, A., and Chan, J.H., The 10th International Symposium on Visual Information Communication and Interaction (VINCI2017), pp. 67-68., Bangkok, Thailand, August 2017.
Network-based visualization tool for analyzing gene expression data
By: Thanapattheerakul, T., Kongmanee, J., and Chan, J.H., The 10th International Symposium on Visual Information Communication and Interaction (VINCI2017), pp. 77-78., Bangkok, Thailand, August 2017.
Gene-set profiles: visualizing dissimilarity within gene co-expression networks for biomarker identification
By: Shama, S., Lu, P., Doungpan, N., Meechai, A., and Chan, J.H., The 10th International Symposium on Visual Information Communication and Interaction (VINCI2017), pp. 79-80., Bangkok, Thailand, August, 2017
Network analysis of inter-organizational success factor relationships
By: Kongburan, W., Padungweang, P., Krathu, W., and Chan, J.H., The 10th International Symposium on Visual Information Communication and Interaction (VINCI2017), pp. 83-84., Bangkok, Thailand, August 2017.
Comparing the Effect of Different Smartphone on the Accuracy of WiFi Based Proximity Estimation Approaches in an Outdoor Setting
By: Triyason, T., and Setthawong, P. , The 13th International Joint Conference on Computer Science and Software Engineering(JCSSE 2016), Khonkaen, Thailand, July, 2016, Publishing in KKU Research Journal, Vol.22 No.3, pp.1-10 September 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.
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.
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.
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.
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.
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.
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