SNPD 2021-Summer Special Sessions

Special Session 1: Measured Signal Collection, Processing and Applications

Topic Description:

With a rapid increasing industrialization progress in recent years, the collection and processing of various sensed signalshave played a crucial role in related automation fields. It has driven a big progress beyond traditional mechanization. The Industry 4.0 techniques even bring modern engineering into a new era. Therefore, more complex problems in such as automatization, robotics, mechatronics, measurement and control systems, etc. can be resolved using signal collection and processing algorithms more efficiently. Papers based on novel methodologies and implementations, creative and innovative automation system and integration engineering associated in this discipline are all welcome.

Organizer:

Prof. Hsiung-Cheng Lin, National Chin-Yi University of Technology, Taiwan, Email: hclin@ncut.edu.tw

Reviewers

Prof. Cheng-Siong Lee, Monash University, Australia

Prof. Ling-Ling Li, Hebei University of Technology, China

Prof. Ruey-Maw Chen, National Chin-Yi University of Technology, Taiwan

 

Special Session 2: Medical Electronics and Informatics

Topic Description:

With its rapid developmentin electronics, communications, and information technology, artificial intelligence technology has been widely usedin all aspects of medical informatics.The purpose of this special session is todemonstrate the potential of several intelligent approaches exploited in informatics and applications of information technology in medicine.Submissions for this special issue should be original, novel, unpublishedwork, and have in-depth research to make a great contribution tosome manner with topics relevant tomedical electronics,computation, andinformatics.Possible topics of interest include, but are not limited to:

The topics of interest are:

  • Medical Electronics,
  • Telemedicine
  • Medical Signal and Image Processing
  •  Artificial Intelligence in Medicine
  • Healthcare Decision-Making
  • Life of Quality

Organizer:

Yung-Kuan Chan, Management Information Systems Department of National Chung Hsing University, Email: ykchna@nchu.edu.tw

Reviewers:

Prof. Tzu-Chuen Lu, Department of Information Management,Chaoyang University of Technology

Yung-Fu Chen,Department of  Healthcare Administration, Central Taiwan University of Science and Technology

Rung-Ching Chen, Collegeof InformaticsinChaoyangUniversityof Technology

Chuen-Horng Lin, Department of Computer Science and Information Engineering at National Taichung Institute of Technology

Yi-ChunDu, Southern Taiwan University of Science and Technology, Department:Department of Electrical Engineering

Der-Chyuan Lou, Department of Computer Science and Information Engineering , Chang Gung University

 

Special Session 3: Artificial Intelligence, Deep Learning, and Applications

Topic Description:

Artificial intelligence (AI) has become a powerful tool in dealing with big data with recent breakthroughs at multiple fronts using machine learning including deep learning. The emerging big data and AI technologies include a bunch of new requirements and applications such as object detection and classification, image recognition, computer vision, the artificial intelligence of things (AIoT), and smart cities in the term of computing networks.  It is foreseeable that AI will be the main approach of the next generation for computer vision research.  The focus of this special section is to address the big data, deep learning, and convolutional neural networks (CNN) for AI network technologies. Papers based on novel methodologies and implementations, creative and innovative automation systems, and integration engineering associated with this discipline are all welcome.

Organizer:

Jing-Wein Wang, National Kaohsiung University of Science and Technology, Taiwan, Email: jwwang@nkust.edu.tw

Reviewers:

Chou-Chen Wang, I-Shou University, Taiwan

Jiunn-Lin Wu, National Chung Hsing University,Taiwan

Min-Hsiung Hung, Chinese Culture University,Taiwan

CunweiLu, Fukuoka Institute of Technology, Fukuoka, Japan

 

Special Session 4: AI Applications for Power and Energy Engineering

Topic Description:

With the ideas of energy saving and protection of power system, many smart technologies have been proposed in the field of power and energy. Recently, the concept of smart grid and microgrid have been proposed to meet these new requirements through integrated communications, advanced components, advanced control methods, sensing and measurement, and improved interfaces and decision support. Since the technology of advanced metering infrastructure is the fundamental early step to grid modernization, the accurate and efficient monitoring of power quality and system states becomes a crucial task. The wide-area measurement is then the conceptual extension of remote monitoring through the numerous integrated communication technologies.Power quality at the grid interface is one of important parts in power purchase contracts between utilities and distributed generations. With the widespread use of rectifier/inverter for power conversion and related power electronic devices for operation control, many power-quality problems are present. Since the modern equipments are sensitive to these power-quality disturbances, power utilities and their consumers start to pay much attention to the improvement of power quality in recent years.To promote the developments of power and energy technologies, this session would focus on the AI technology for smart grid, microgrid, renewable energy, power electronics and control techniques, modernization of power system, and their various applications. Prospective authors are invited to submit original papers to the Special Session.

Organizer:

Cheng-I Chen, Yeong-Chin Chen, Affiliation:National Central University, Asia University, Email:cichen@ee.ncu.edu.tw, ycchenster@gmail.com

Reviewers:

Cheng-I Chen, National Central University

Yeong-Chin Chen, Asia University

Yu-Jen Liu, National Chung Cheng University

Kuang-Hsiung Tan, National Defense University

 

Special Session 5: Advanced Machine Learning for Multimedia Signal Processingand Computer Vision Applications

Topic Description: 

Machine learning (including deep learning) has been widely studied in both academia and industry in the big data age. In the past several years, computer vision with machine learning (including deep learning) has enormous progress in some applications such as image classification, image captioning, instance segmentation, object detection, document image processing, medical image processing, computer-aided diagnosis, and so on. This session includes the mathematical theories of machine learning/deep learning in multimedia signal processing and computer vision applications. Prospective authors are invited to submit original papers to the Special Session.

Organizers:

Prof. Guo-Shiang Lin, National Chin-Yi University of Technology, Taiwan, Email: gslin@ncut.edu.tw

Prof. Chen-Kuo Chiang, National Chung-Cheng University, Taiwan, E-mail: ckchiang@cs.ccu.edu.tw

Prof.Chih-Chung Hsu, National Cheng Kung University, Taiwan, Email: cchsu@gs.ncku.edu.tw

 

Special Session 6: High Performance Service Design and Optimization

Topic Description:

The system or service performance is increased by hardware evolution. High performance services not only increase the convenience in life, but also provide better quality in manufacturing. Artificial intelligence, big data analysis, cloud computing are common technologies that can be used to develop high performance services. Moreover, the service should be optimized by the requirements in the scenarios, so that the user experience could be increased after addressing the real-world problem in using the service. In this session, the state-of-the-art results are welcome in terms of designing and optimizing innovation high performance services.

Organizer:

Prof. Chen-Kun Tsung, Affiliation: National Chin-Yi University of Technology, Taiwan,   Email: ckt@ncut.edu.tw

Reviewers: 

Prof. Chen-Kun Tsung, National Chin-Yi University of Technology, Taiwan

Prof. Jun-Hong Shen, Asia University, Taiwan

Prof. Ming-Te Chen, National Chin-Yi University of Technology, Taiwan

 

Special Session 7: Brain intelligence,  Artificial Intelligence, Information Processing, Robots

Topic Description:

The dramatic progress of the computer science makes the brain intelligence, artificial intelligence, cognitive computing, information processing, robots more and more popular. They aim to enhance the intelligence of systems. They fill a gap between the human intelligence and robot or machine as well as system. Prospective authors are invited to submit original papers to the Special Session.

Organizer:

Prof. Mei Wang, Xi’an University of Science and Technology, China, Email: wangm@xust.edu.cn

Reviewers:

Prof. Mei Wang, Xi’an University of Science and Technology, China

Prof. Yan Fu, Xi’an University of Science and Technology, China

Prof. Zhenhua Yu, Xi’an University of Science and Technology, China