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Tunghai University-News--Distinguished Professor Chao-Tung Yang was invited to be the Keynote Speaker of the 2018 International Conference on Frontier Computing
Distinguished Professor Chao-Tung Yang was invited to be the Keynote Speaker of the 2018 International Conference on Frontier Computing
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- Date : 2018-08-16
Distinguished Professor Chao-Tung Yang was invited to be the Keynote Speaker of the 2018 International Conference on Frontier Computing and Lead a Research Team to Win the Best Paper Award.
The 7th International Conference on Frontier Computing - Theory, Technologies, and Applications was held at the DoubleTree by Hilton Hotel Kuala Lumpur from July 3 to July 6, 2018. Frontier Computing (FC) covers a broad spectrum of computing, such as cloud computing, ubiquitous computing, green computing, service computing, etc. This conference seeks for all possibility from these existing computing paradigms to craft discoveries and applications that will shape the future. The aim of International Conference on Frontier Computing - Theory, Technologies, and Applications attempts to provide an open forum for sharing and discussion of state-of-the-art results covering all aspects of computer science and engineering by researchers, and industries as well, all over the world.
This will be the seventh event of the series, in which fruitful results can be found in the digital library or conference proceedings of FC 2010 (Taichung, Taiwan), FC 2012 (Xining, China), FC 2013 (Gwangju, Korea), FC 2015 (Bangkok, Thailand), FC 2016 (Tokyo, Japan), FC 2017 (Osaka, Japan). This conference is expected to bring together researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Significant contributions in all major fields of Computer Science and Information Technology in theoretical and practical aspects are highly welcomed.

Prof. Chao-Tung Yang was invited to be the Keynote Speaker of FC 2018.
Distinguished Professor Chao-Tung Yang who serves department of computer science and director of the computer center, was invited as the keynote speaker for a talk, entitled “Smart Campus Construction in AI, Big Data, IoT, and Cloud Computing Era: A Case of Smart Power Saving Service”. Prof. Yang introduced the construction of SMILE smart campus service in Tunghai University. SMILE stands for Service, Management, Information, Learning, and Environment. To approach a real-time energy monitoring and management platform in the cloud, efficient and novel implementation techniques have been developed and formed to be the kernel material of this talk. How to reduce expenses by reducing electricity consumption, and effective energy conservation in the huge campus of electricity, reduce electricity costs and unnecessary consumption is very important. The campus building electricity information through smart meters is collected and processed by Big Data processing techniques. The data collection and storage are handled by the Hadoop subsystem and the data ingestion to Hive data warehouse is conducted by the Spark unit. We proposed an architecture to import existing power data storage system of our campus into Big data platform with Data Lake. We use Apache Sqoop to transfer historical data from existing system to Apache Hive for data storage. The participants and scholars showed interest in the smart campus construction and power saving results of Tunghai University.
Prof. Yang introduced smart campus service of Tunghai University.

Prof. Yang received the certificate from General Chair of FC 2018.
On the agenda of FC 2018, there are invited talks and various topic paper presentations. Each paper underwent a rigorous review process. Each presenter shared relevant information about their current research, implementation of new technologies and the best results. The research team led by Prof. Yang, including Taichung Veterans General Hospital and the Department of Industrial Engineering and Enterprise Information, Tunghai University, published Recurrent Neural Networks for Analysis and Automated Air Pollution Forecasting. This paper won the best paper award of FC 2018. In this paper, we demonstrated analysis and automated air pollution forecasting using RNN. In our experiment, we built a distributed computing environment based on RHadoop, analyzed air pollution and presented visualization using HBase from historical data. Besides, we analyzed the short-term prediction of PM2.5 and measured the prediction accuracy based on the mean absolute percentage error (MAPE) value. Finally, we utilized shiny to visualize the training result for optimizing parameters of RNN training module. The participation in FC 2018 has been fruitful, and it has opened up new opportunities for cooperation with outside research.
Prof. Yang’s research team won the Best Paper Award.
(Left: Ching-Fang Lee, Mid: Endah Kristiani, Right: Prof. Chao-Tung Yang)