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).
Date of conference: 10-13 December 2018
Full manuscript submission deadline: 1 July 2018
Notification of acceptance: 1 September 2018
Camera ready manuscripts: 15 September 2018
CALL FOR PAPERS
To be announced.
• Food Security
• e-Business, e-Government, e-Learning, e-Health
• IT Ethics/Legal/Policy Issues
• Virtual Reality (VR) Applications
• Crowdsourcing And Social Networking
• Cyber-physical Systems
• Intelligent Mobile and Web Applications
• AD HOC Networks, Real-time Streaming Networks
• Cloud & Grid Computing, P2P, Distributed Systems
• Software Defined Networks, Sensor Networks
• Data Centers and Service Computing
• Internet of Things (IoT)
• Security and Privacy
• Big Data, Business Intelligence
• AI,Machine Learning, Deep Learning
• Data Mining, Text Mining, Graph Mining
• XML and Information Integration
• DBMS, NoSQL, NewSQL
• 3D visual media processing
• Classification and composition of visual media
• Bioinformatics and Health Informatics
• Cognition of visual media
• Content security for visual media
• Enhancement and re-rendering of visual media
• Geometric computing for images and video
• Interactive editing of visual media
• Machine learning for visual media
• Social media computing
• Understanding of visual media
• Visual media retrieval
• Visualization and visual analytics
There are 4 tracks covering all suggested topics:
The “Smart Digital Society” theme include (but not limited to):
- Geometric modeling and processing
- Classification and composition of visual media
- Enhancement and re-rendering of visual media
- Geometric computing for images and video
- Machine learning for visual media
- Visualization and visual analytics
Prospective authors are invited to submit original, high quality manuscripts of full paper (up to 8 pages including references), short paper (up to 4 pages with one additional page for references) and poster paper (up to 2 pages including references). All submissions must be formatted using the ACM Proceedings Template (using sigconf format/template) and should consist of one single PDF file.
All accepted papers will be discoverable immediately upon publication in the ACM Digital Library and indexed by EI and Scopus.
(i) The explicit indications of authors’ names and affiliations as well as acknowledgements must be removed or hidden.
(ii) The papers should not contain any statements which refer to authors’ identity. Authors’ names, affiliations, and acknowledgments will be returned to the printed manuscript upon acceptance for publication.
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 two (2) reviewers, who are expert or have been experiencing in the related field for years. The accepted papers must be revised, taking into consideration the referees’ comments and suggestions, before inclusion in the conference proceedings.
The submission of a paper implies that the paper is original and has not been submitted and published elsewhere.
In addition, at least one full registration is required per accepted paper, and the paper must be presented by an author if accepted.
IAIT2018 use EasyChair conference system to manage paper submission. In order to submit paper(s) to IAIT2018, you must login to EasyChair website
If you do not have an EasyChair account, please follow the steps below.
2. You will get an automatic replied e-mail from EasyChair with the URL link to create EasyChair’s account.
3. Fill the account creation form.
To be announced.
Kunihiko Fukushima, Fuzzy Logic Systems Institute, Japan
Topic: Deep CNN neocognitron for artificial vision
Senior Research Scientist, Fuzzy Logic Systems Institute (Iizuka, Fukuoka, Japan)
Recently, deep convolutional neural networks (deep CNN) have become very popular in the field of visual pattern recognition. The neocognitron, which was first proposed by Fukushima (1979), is a network classified to this category. It is a hierarchical multi-layered network. Its architecture was suggested by neurophysiological findings on the visual systems of mammals. It acquires the ability to recognize visual patterns robustly through learning.
Although the neocognitron has a long history, improvements of the network are still continuing. This talk discusses the recent neocognitron, focusing on differences from the conventional deep CNN.
Some other functions of the visual system can also be realized by networks extended from the neocognitron. For example, by adding top-down connections to the neocognitron, function of selective attention can be introduced. The ability of recognizing and completing partly occluded patterns can also be realized.
Kunihiko Fukushima received a B.Eng. degree in electronics in 1958 and a PhD degree in electrical engineering in 1966 from Kyoto University, Japan. He was a professor at Osaka University from 1989 to 1999, at the University of Electro-Communications from 1999 to 2001, at Tokyo University of Technology from 2001 to 2006; and a visiting professor at Kansai University from 2006 to 2010. Prior to his Professorship, he was a Senior Research Scientist at the NHK Science and Technology Research Laboratories. He is now a Senior Research Scientist at Fuzzy Logic Systems Institute (part-time position), and usually works at his home in Tokyo.
He received the Achievement Award, Distinguished Achievement and Contributions Award, and Excellent Paper Awards from IEICE; the Neural Networks Pioneer Award from IEEE; APNNA Outstanding Achievement Award; Excellent Paper Award, and Academic Award from JNNS; INNS Helmholtz Award; Pioneer Award from ELM2017; and so on. He was the founding President of JNNS (the Japanese Neural Network Society) and was a founding member on the Board of Governors of INNS (the International Neural Network Society). He is a former President of APNNA (the Asia-Pacific Neural Network Assembly).
He is one of the pioneers in the field of neural networks and has been engaged in modeling neural networks of the brain since 1965. His special interests lie in modeling neural networks of the higher brain functions, especially the mechanism of the visual system. In 1979, he invented “neocognitron “, which is a deep CNN (convolutional neural network) and acquires the ability to recognize visual patterns through learning. The extension of the neocognitron is still continuing. By the introduction of top-down connections and new learning methods, various kinds of neural networks have been developed. When two or more patterns are presented simultaneously, the “Selective Attention Model ” can segment and recognize individual patterns in tern by switching its attention. Even if a pattern is partially occluded by other objects, we human beings can often recognize the occluded pattern. An extended neocognitron can now have such human-like ability and can, not only recognize occluded patterns, but also restore them by completing occluded contours. He also developed neural network models for extracting visual motion and optic flow, for extracting symmetry axis, and many others. He is recently interested in new learning rules for neural networks.
Shi-Min Hu, Tsinghua University, China
Shi-Min Hu is currently a professor of computer science at Tsinghua University. His research interests include digital geometry processing, video-based rendering, rendering, computer animation, and computer-aided geometric design. He obtained his Ph.D. in 1996 from Zhejiang University.Shi-Min is the Editor-in-Chief of Computational Visual Media (Springer). He has served on the organizing and program committees of numerous international conferences.
|Foreign Participant||Local Participant 4|
|Early-bird Registration – by 22 October 2017|
|Full registration1||$550||15,000 baht|
|Student 2||$450||13,000 baht|
|Full registration 1||$650||20,000 baht|
|Student 2||$550||20,000 baht|
|Additional Page||$20 per page||600 baht per page|
|Additional Banquet||$60 3||2,000 baht|
1. Each publication required at least one full registration or one student registration.
2. A copy of the student ID is required to register with the student rate.
3. An on-sight banquet coupon costs $60 per person.
4. Receipt document of the wire transfer payment will be issued with the final amount of money that the conference organizer receives at the end point.
The registration fee includes:
– Dinner Banquet (and Entertainment)
– All Keynote address, Tutorial Sessions, and Special Sessions offered during the conference.
NOTE for Authors :
In order for a paper to be published, the following requirements must be met:
- The paper must be registered and fully paid for. At least one full registration or one student registration must be paid for each paper.
- The paper must be presented by one of the authors at the conference.
- The final paper must be correctly formatted and submitted to firstname.lastname@example.org.
- Only one paper of up to 12 pages is included in the regular registration fee. Each additional page will be subject to a charge of $20 per page.
ATTENDANCE IS MANDATORY TO PUBLISH IN THE PROCEEDINGS:
You must attend the conference and present your paper if you want to publish your paper in the Proceedings.
NOTE for NON-AUTHOR ATTENDEES :
We do make invitation letters for non-author attendees, if they have valid reason to attend our conferences and satisfy certain requirements. Please contact us at email@example.com regarding this.
- Borworn Papasratorn, King Mongkut’s University of Technology Thonburi, Thailand
International Advisory Committee
- Chularat Tanprasert, National Electronics and Computer Technology Center, Thailand
- Espandiar Haghverdi, Indiana University, USA
- Gerald Quirchmayr, Universität Wien, Austria
- Jonathan H. Chan, King Mongkut’s University of Technology Thonburi, Thailand
- Lam Thu Bui, Le Quy Don Technical University, Vietnam
- Lance C. C. Fung, Murdoch University, Australia
- Mark Chignell, University of Toronto, Canada
- Masahiro Inoue, Shibaura Institute of Technology, Japan
- Pascal Bouvry, University of Luxembourg, Luxembourg
- Shi-Min Hu, Tsinghua University, China
- Nipon Charoenkitkarn, King Mongkut’s University of Technology Thonburi, Thailand
- Ashish Ghosh, Indian Statistical Institue, India
- Kriengkrai Porkaew, King Mongkut’s University of Technology Thonburi, Thailand
- Michael Cohen, Aizu University, Japan
- Wichian Chutimaskul, King Mongkut’s University of Technology Thonburi, Thailand
Special Session Chairs
- Hironori Nakajo, Tokyo University of Agriculture and Technology, Japan
- Kittichai Lavangnananda, King Mongkut’s University of Technology Thonburi, Thailand
- Michel Schellekens, University College Cork, Ireland
- Simon Fong, University of Macau, Macau
- Xiangmin Zhang, Wayne State University, USA
- Siam Yamsaengsung, King Mongkut’s University of Technology Thonburi, Thailand
- Somnuk Phon-Amnuaisuk, Universiti Teknologi Brunei, Brunei
- Chandana Gamage, University of Moratuwa, Sri Lanka
- Chonlameth Arpnikanondt, King Mongkut’s University of Technology Thonburi, Thailand
- Sanzo Miyazawa, King Mongkut’s University of Technology Thonburi, Thailand
- Susmita Ghosh, Jadavpur University, India
- Gerard Surendran Saverimuthu, IBM ASEAN
- Narongrit Waraporn, King Mongkut’s University of Technology Thonburi, Thailand
- Natee Limsuwan, Nissan Motor Asia Pacific
- Praisan Padungweang, King Mongkut’s University of Technology Thonburi, Thailand
- Shengchao Qin, Teesside University, UK
- Sunisa Sathapornvajana, King Mongkut’s University of Technology Thonburi, Thailand
- Suree Funilkul, King Mongkut’s University of Technology Thonburi, Thailand
- Vajirasak Vanijja, King Mongkut’s University of Technology Thonburi, Thailand
- Vithida Chongsuphajaisiddhi, King Mongkut’s University of Technology Thonburi, Thailand
- Worarat Krathu, King Mongkut’s University of Technology Thonburi, Thailand
- Hafiz Hamidi, Universiti Teknologi Brunei, Brunei
- McAndrian Edmund, Universiti Teknologi Brunei, Brunei
- Panisara Promdee, King Mongkut’s University of Technology Thonburi, Thailand
International Program Committee
- Amal Perera, University of Moratuwa, Sri Lanka
- Anongnart Srivihok, Kasetsart University, Thailand
- Apivadee Piyatumrong, National Electronics and Computer Technology Center, Thailand
- Asit Kumar Das, Indian Institute of Engineering, India
- Bunthit Watanapa, King Mongkut’s University of Technology Thonburi, Thailand
- Chakarida Nkoolkit, King Mongkut’s University of Technology Thonburi, Thailand
- Chalee Vorakulpipat, National Electronics and Computer Technology Center, Thailand
- Charith Chitraranjan, University of Moratuwa, Sri Lanka
- Chayakorn Piyabunditkul, National Science and Technology Development Agency, Thailand
- Choochart Haruechaiyasak, National Electronics and Computer Technology Center, Thailand
- Debajyoti Pal, King Mongkut’s University of Technology Thonburi, Thailand
- Georgios Stylianou, European University Cyprus, Cyprus
- Guandong Xu, University of Technology Sydney, Australia
- Horst Lichter, RWTH Aachen University, Germany
- Jamal Deen, McMaster University, Canada
- Kanokwan Atchariyachanvanich, King Mongkut’s Institute of Technology Ladkrabang, Thailand
- Kasem Thiptarajan, Thai-Nichi Institute of Technology, Thailand
- Keiichi Kaneko, Tokyo University of Agriculture and Technology, Japan
- Khang Tsung Fei, University of Malaya, Malaysia
- Kitsana Waiyamai, Kasetsart University, Thailand
- Krisana Chinnasarn, Burapha University, Thailand
- Le-Pong Chin, Shih Chien University, Taiwan
- Liew Chee Sun, University of Malaya, Malaysia
- Lin Li, Wuhan University of Technology, China
- Miti Ruchanurucks, Kasetsart University, Thailand
- Nattapong Kitsuwan, University of Electro-Communications, Japan
- Osama Halabi, Qatar University, Qatar
- Pornchai Mongkolnam, King Mongkut’s University of Technology Thonburi, Thailand
- Preesan Rakwatin, Geo-Informatics and Space Technology Development Agency, Thailand
- Pruthikrai Mahatanankoon, Illinois State University, USA
- Satyasai Jangannath Nanda, Malaviya National Institute of Technology Jaipur, India
- Thepchai Supnithi, National Electronics and Computer Technology Center, Thailand
- Thitipong Tanprasert, Assumption University, Thailand
- Thitiporn Lertrusdachakul, Thai-Nichi Institute of Technology, Thailand
- Tuul Triyason, King Mongkut’s University of Technology Thonburi, Thailand
- Watcharawalee Tangkuptanon, Prince of Songkla University, Thailand
- Wei-Tsong Lee, Tamkang University, Taiwan
- Yangjun Chen, University of Winnipeg, Canada
- Yongkun Wang, Shanghai Jiao Tong University, China
- Zhenglu Yang, Nankai University, China
KMUTT Knowledge Exchange for Innovation Center (KX)