Title 1: Intelligent Optimization and Knowledge Engineering for Manufacturing Industry
After implementing the "one belt, one road" and supply-side reform, the steel industry and the high-end equipment manufacturing industry began to boom in 2015, and in recent years business amount of steel enterprises and equipment, manufacturing increased significantly. Due to the increasing structure diversity and scale of order, the original MES system is difficult to deal with the above enterprises’ optimal decision-making problems and or even fails, such as slab design for steel plate production and components material nesting for the high-end equipment manufacturing. At present, it has become the bottleneck of enterprise efficiency creation and product quality improvement, which seriously affects the national economic construction and the international competitiveness of products. At present, it is in the critical period of "made in China 2025". The scientific issues discussed in this meeting are the problems of product design, performance analysis, and control decision-making to extract from the rigid demand of large steel enterprises and high-end equipment manufacturing enterprises, which have not been reported or completely solved.
Keywords:
Knowledge Engineering, Intelligent Optimization, Big Data, Artificial intelligence, Manufacturing Industry, high-end Equipment Manufacturing, Knowledge, Slab Design
Prof. Ziqiang Li / Xiangtan University, China
Ziqiang Li received his Ph.D. degree in Computer Application Technology from Dalian University of Technology. He worked as a member at the school of computer science at Xiangtan University. His research interests include Internet Security, Software Engineering, and Numerical Simulation.
He presided over the National Natural Science Foundation Project (NO:61272294), participated in the National Science and Technology Supporting Program Project (NO: 2012BAF10B04), presided over Natural Science Foundation Projects (NO: 11JJ6050 and 2017JJ2459) of Henan Province, Key scientific research projects of Department of Education in Hunan Province(NO:11A120),presided over seven Projects supported by enterprise innovation fund. Based on these projects, he published many academic papers.
He has published Applied Soft Computing, Computers and Mathematics with Applications, Computer, Computer search, and development journal papers. He received a number of awards including Hunan Science Progress Award and Hunan excellent master thesis instructor, etc.
Workshop_8
Title 1: Recognizing Text in Image and Video
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Pattern recognition, computer vision,digital image, digital video
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Prof. Xiwen Zhang / Beijing Language and Culture University, China
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Intelligent manufacturing, Artificial intelligence, Industrial Robots,Machine vision
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Dr. Tonghan Wang / School of Information Engineering, East China University of Technology, China
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Prof. Nianqiang Niu / Shenyang University of technology, China
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In today’s world, a new generation of artificial intelligence, relying on the Internet, big data, and intelligent perception technology, is developing rapidly in depth and breadth and is becoming a new focus of international competition and a new engine of economic development. Through extensive integration with technology and industrial development, artificial intelligence will lead to future technological innovation, promote industrial upgrading, and become a new driving force for information technology and social development. Vision perception technology is an important method to realize intelligence and has important application prospects in the fields of industrial manufacturing, urban transportation, and life services. It is foreseeable that the new generation of vision perception technology will become a research hot spot in the field of artificial intelligence.
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Artificial intelligence is an important part of national strength and will lead the way as a strategic technology in the future. Artificial intelligence technology has promoted the innovation and development of industries such as smart manufacturing, smart logistics, smart healthcare, and smart cities, and has gradually become a key arena for competition among countries. However, a large number of studies and practices have shown that artificial intelligence technology is not yet fully mature, and related intelligent algorithms have security risks, which will cause problems such as data leakage, data forgery, algorithm bottlenecks, privacy security, and ethical dilemmas. These have effects on national security, economic development, and social stability directly or indirectly. Therefore, the issue of intelligent security and data privacy has become a major strategic need of the country. Intelligent security technology can ensure the security of artificial intelligence models through static or dynamic mechanisms so that the system is in a safe state under any circumstances. Intelligent security technology can also ensure that the artificial intelligence system does not leak the user's sensitive data and generates the expected correct results. The discovery and protection of data privacy can effectively reduce the risk of sensitive data leakage and prevent sensitive data of individuals, companies, and even countries from being obtained or used by criminals to cause harm.
Keywords:Intelligent Security, Privacy Preserving, Artificial Intelligence
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Current Computer Graphics and Simulation have a lot of practical applications for art, architecture, UI/UX development, video games, CGI, animations, augmented reality, physics, biology, chemistry, engineering, academic research, and other disciplines. Recently, deep learning methods have been utilized in the area of computer graphics and simulation e.g. to modeling 3D models or to generating and animating realistic images.
Keywords:Computer Graphics, Simulation, Multimedia, Scientific Visualization, Human Computer Interfaces
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Workshop 17
Title 1 :Natural language processing
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Prof. Yatian Shen,Computer College of Henan University, China
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