At present, it is already known that knowledge can be disseminated widely and quickly. Information and Communication Technology plays a significant role to emphasize this particular point. Conversely, knowledge is also an important factor for the development of technology.
Thus, the exchange of knowledge, skills and experiences from research finding in a correct, appropriate and regular manner is an important mechanism that increases national competitiveness in Thailand, especially with respect to higher education institutions, which are significant factors to drive and encourage the promotion of educational activities and put them into practice. The aim of any higher education institution is not only to provide instruction but also to promote research and development, and to encourage the application of computing and information technology to build fundamental knowledge in order to be utilized in education and others fields. In accordance with the institute’s policies, therefore, the Faculty of Information Technology, King Mongkut’s University of Technology North Bangkok (KMUTNB) is launching the 8th International Conference on Computing and Information Technology in cooperation with universities / colleges in Thailand and in abroad. The aim of this conference is to provide a springboard to disseminate and exchange knowledge, skills and experiences from research conducted by faculty members, staff, students and stakeholder. In addition, the conference will provide knowledge and research findings for a correct understanding to be utilized both within the institute and outside. Due to the rapid development in computing technology, the promotion and support of academic work via a conference should be a main event for related organization and all higher education institutions to be organized regularly every year.
The conference is to be a platform for providing and exchanging information, knowledge, skills, and experiences in the field of computing and Information Technology.
Conference Dates
January 30, 2012
Extened February 27, 2012 |
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Paper Submission Deadline for Review |
February 20, 2012
Extened March 12, 2012 |
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Decision Notification |
March 12, 2012
Extened March 30, 2012 |
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Camera Ready Version |
March 30, 2012
Extened April 18, 2012 |
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Advanced Registration |
| May 9 - 10, 2012 |
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The 8th International Conference on Computing and Information Technology |
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Professor Dr. Martin Hagan |
School of Electrical and Computer Engineering
Oklahoma State University, USA

Title : Dynamic Neural Networks: What Are They, and How Can We Use Them?
Abstract
Neural networks can be classified into static and dynamic categories. In static networks, which are more commonly used, the output of the network is computed uniquely from the current inputs to the network. In dynamic networks, the output is also a function of past inputs, outputs or states of the network. This talk will address the theory and applications of this interesting class of neural network.
Dynamic networks have memory, and therefore they can be trained to learn sequential or time-varying patterns. This has applications in such disparate areas as control systems, prediction in financial markets, channel equalization in communication systems, phase detection in power systems, sorting, fault detection, speech recognition, and even the prediction of protein structure in genetics.
These dynamic networks are generally trained using gradient-based (steepest descent, conjugate gradient, etc.) or Jacobian-based (Gauss-Newton, Levenberg-Marquardt, Extended Kalman filter, etc.) optimization algorithms. The methods for computing the gradients and Jacobians fall generally into two categories: real time recurrent learning (RTRL) or backpropagation through time (BPTT). In this talk we will present a unified view of the training of dynamic networks. We will begin with a very general framework for representing dynamic networks and will demonstrate how BPTT and RTRL algorithms can be efficiently developed using this framework.
While dynamic networks are more powerful than static networks, it has been known for some time that they are more difficult to train. In this talk, we will also investigate the error surfaces for these dynamic networks, which will provide interesting insights into the difficulty of dynamic network training.
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Prof. Dr. rer.nat. Ulrike Lechner |
Institut für Angewandte Informatik
Fakultät für Informatik
Universität der Bundeswehr München

Title : Innovation Management and the IT-Industry – Enabler of innovations
or truly innovative?
Abstract
Who wants to be innovative? Who needs to be innovative? Everybody? - Innovation seems to be paramount in today´s economy and IT is an important driver for innovation. Think of EBusiness and all the consumer electronics. Can it be safely assumed that this industry is innovative and masters the art and science of innovation management? What about important business model trends of today, outsourcing and cloud computing, or the bread-and-butter business of the many IT-consulting companies? How important is innovation to them and how do they master innovations and do innovation management? Empirical data is rather inconclusive about business model innovations of the IT-industry and the need to be innovative. The talk reports on experiences in innovation management in the IT-industry and discusses awareness of innovation, innovation in services vs. product innovations and the various options to design innovation management. It provides an overview of the innovation landscape and ecosystems in the IT-industry as well as the theoretical background to analyze innovation networks. The talk discusses scientific approaches and open questions in this field.
Prof. Dr. Ulrike Lechner is professor of Information Systems at the Universität der Bundeswehr München. She studied computer science at the University Passau and did her PhD at the University of Passau (Germany). She pursued her academic career at the University of St. Gallen in Switzerland and was appointed assistant professor. In 2001 she was appointed professor of digital media at the Universität Bremen, Germany. Since 2004 she is professor of information systems at the federal armed forces university in Munich. Her research interests include innovation management, enterprise architectures, disaster response and online communities. |
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Dr. Hsin-Mu Tsai |
Department of Computer Science and Information Engineering
National Taiwan University, Taiwan

Title : Extend the Safety Shield - Building the Next Generation Vehicle Safety System
Abstract
For the past decade, various safety systems have been realized by the car manufacturers to reduce the number of accidents drastically. However, the conventional approach has limited the classes of risks which can be detected and handled by the safety systems to those which have a line-of-sight path to the sensors installed on vehicles. In this talk, I will propose the next-generation vehicle safety system, which utilizes two fundamental technologies. The system gives out warnings for the vehicle or the driver to react to potential risks in a timely manner and extends the classes of risks which can be detected by vehicles from only “risks which have appeared” to also “risks not yet appear”. Conceptually, this increases the size of the “safety shield” of the vehicle, since most accidents caused by detectable risks could be avoided. I will also present the related research challenges in implementing such a system and some preliminary results from the measurements we carried out at National Taiwan University. |
Conference Contact
pym@kmutnb.ac.th, support@ic2it.org
Responsible Organizations
Significances
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This conference will be a potential starting point to provide information, articles, research and development, inventions and discoveries of new findings in computing technology in order to solve the problems of Thai society and the Thai nation. |
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The participants will be able to exchange and disseminate ideas, information, innovations, skills and experiences in the field of computing and information technology and can develop and apply them to solve the problems in their workplaces. |
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The conference will provide society with a better understanding of computing and information technology in order to gain a wider vision. Furthermore, it will enable participants to effectively put into practice what they have learnt. |
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This particular event will also build a national network in computing and information technology that will be fundamental for organizing international conferences in the future. |
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