Final Conference Program · 2017. 9. 14. · Mingming Pan, China Electric Power Research ... China...
Transcript of Final Conference Program · 2017. 9. 14. · Mingming Pan, China Electric Power Research ... China...
ES 2017
Conference Program
The 5th International Conference on Enterprise Systems
ES2017
Industrial 4.0 and Made in China 2025
<More logo of sponsors will be added here>
Beijing, China
September 22-24, 2017 http://www.ie.tsinghua.edu.cn/es2017/index.html
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CONTENTS
Welcome to ES-2017 ......................................................................................................................................... 3
Organization...................................................................................................................................................... 4
Exhibitors .......................................................................................................................................................... 8
Keynote Speeches ........................................................................................................................................... 11
Plenary Speeches of Innovation & Entrepreneurship Forum ......................................................................... 19
Program at a Glance ....................................................................................................................................... 21
Locations ......................................................................................................................................................... 22
Overall Schedule ............................................................................................................................................. 24
Program of Innovation and Entrepreneurship Forum .................................................................................... 26
Detailed schedule of oral sessions .................................................................................................................. 27
Details of papers in the Poster Session ........................................................................................................... 33
WiFi AP: <to be added>
Password: <to be added>
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Welcome to ES-2017
Enterprise Systems (ES), also referred to as Enterprise Information Systems, has become increasingly popular over the last 20 years because it integrates and extends business processes across the boundaries of business functions and corporate walls, as well as country border lines. The International Conference on Enterprise Systems (ES) has been held every year since 2013. This
year, the fifth in the series is held at Tsinghua University, Beijing, China, 22-24 September, 2017.
This conference series is focusing on both the technical and application aspects of enterprise systems, the complex and cross-disciplinary problems of enterprise integration, and the new technological frontiers such as Industrial Integration, Industrial Information Integration, and Industry 4.0. The objectives of the conference are to provide high quality research and professional interactions for the advancement of science and technology. The main features of the conference include Keynotes, Plenary Speeches, Invited Talks, Regular Sessions, Tutorials and the Industry Forum. The theme of ES 2017 is “Made in China 2025 and Industry 4.0” which is a popular topic recommended by researchers, policy makers, funding authorities, investors, and industrial giants. The selection process this year was competitive: we received 147 submissions, which reflects the recognition of and interest in this conference. Each submitted paper was reviewed by at least three members of the program committee. Following this independent review, there were some discussions among reviewers and chairs. A total of 49 papers were selected for IEEE CPS publication where 34 papers as oral presentation and 15 papers as poster presentation. We believe that those accepted papers provide interesting viewpoints and good starting points for discussion during the conference. We would like to thank everyone who participated in the development of the ES 2017 program. In particular, we would give special thanks to the Advisory Committee and the Program Committee, for their diligence, and concern for the quality of the program, and also with their detailed feedback to the authors. The general organization of the conference also relies on the efforts of ES 2017 organizing committee. Especially we thank Mr. Zijiang Liu for the IT and registration process, and Dr. Na Pang for the general administrative issues, and thank Miss Yingye Lu who put a great deal of efforts into the financial process. Finally and most importantly, we thank all the authors who have the primary reason why ES 2017 is so exciting, and why it will be the premier forum for presentation and discussion of innovative ideas, research results, applications and experience from around the world as well as highlight activities in the related areas.
Zhibo Pang
Lefei Li
ES 2017 General Chairs
Beijing, Sep 2017
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Organization Honorary General Chairs Aurona Gerber, South Africa, IEEE SMC EAE TC Chair
Alta Van der Merwe, South Africa, IEEE SMC EAE TC Chair
Li Da Xu, USA, IEEE SMC EIS TC Co-Chair
General Chairs General Chair: Zhibo Pang, ABB Corporate Research, Sweden
General Co-Chair: Lefei Li, Tsinghua University, China
Advisory Committee Jamal Deen, McMaster University, Canada
Dacfey Dzung, ABB Corporate Research, Switzerland
Victor Leung, University of British Columbia, Canada
Branka Vucetic, University of Sydney, Australia
Qianjin Liu, ABB Corporate Research, China
Jane Zhen Yu, ABB Ltd, China
Valeriy Vyatkin, Aalto University/ Lulea University, Finland/Sweden
Lin Zhang, Beihang University, China
Program Chairs Gang Li, Deakin University, Australia
Jiafu Wan, South China University of Technology, China
Lei Ren, Beihang University, China
Wenbin William Dai, Shanghai Jiaotong University, China
Program Co-Chairs Wibowo Hardjawana, University of Sydney, Australia
Naoum Jamous, Otto von Guericke University Magdeburg, Germany
Ridha Khedri, McMaster University, Canada
Di Li, South China Univ. of Technology, China
Wei Liang, Shenyang Institute of Automation, CAS, China
Rongheng Lin, Beijing Univ. of Posts and Telecom., China
Haiyong Luo, Institute of Computing Technology, Chinese Academy of Sciences, China
Liang Ma, Tsinghua University, China
Edith Ngai, Uppsala University, Sweden
Lei Ren, Beihang University, China
Daxin Tian, Beihang University, China
Fengxiang Wang, Haixi Institutes, Chinese Academy of Sciences
Hao Wang, Norwegian Univ. of Sci. and Tech., Norway
Geng Yang, Zhejiang University, China
Heng Yuan, Beihang University, China
Tao Zheng, Beijing Jiaotong University, China
Hong Wen, Univ. of Elec. Sci. and Tech. (UESTC), China
Publication Chair
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Gang Li, Deakin University, Australia
Special Sessions Chair Jiafu Wan, South China Univ. of Technology, China
Industrial Forum Chair Lei Ren, Beihang University, China
Innovation and Entrepreneurship Forum Chair Wenbin William Dai, Shanghai Jiaotong Univ., China
Financial Chair Yingye Lu, Tsinghua University, China
IT Chair Zijiang Liu, Tsinghua University, China
Volunteer Chair Na Pang, Institute of Information Engineering, Chinese Academy of Sciences
Sponsors ABB Ltd
Tsinghua University
Aviation Industry Corporation of China
北京中技华软科技服务有限公司 (Beijing Techina CSC Science &Technology Service Co., Ltd)
<more sponsors will be added>
Program Committee Zhe Chen, Beihang University
Bin Liu, Tsinghua University
Jianwei Niu, University of Science & Technology Beijing
Peng Liu, Tianjin University
Hua Qin, Beijing University of Civil Engineering and Architecture
Liuxing Tsao, Tsinghua University
Jia Zhou, Chongqing University
Longfei Zhou, Beihang University
Jin Cui, Beihang University
Gengjiao Yang, Beihang University
Feng Li, Beihang University
Sicheng Liu, Beihang University
Li Xie, Thinfilm Electronics, Sweden
Zhi Ye, College of Information Science & Electronic Engineering, Zhejiang University
Shih-Ching Yeh, School of Information Science and Technology, Fudan University
Houde Dai, Haixi Institutes, Chinese Academy of Sciences
Xian Wei, Technical University of Munich, Germany
Xuan Tang, Haixi Institutes, Chinese Academy of Sciences
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Xishuai Peng, Shanghai Jiaotong University
Mingqiang Lin, Haixi Institutes, Chinese Academy of Sciences
Songhang Chen, Haixi Institutes, Chinese Academy of Sciences
Qiming Li, Haixi Institutes, Chinese Academy of Sciences
Peng Tao, Haixi Institutes, Chinese Academy of Sciences
Anjun Xia, Haixi Institutes, Chinese Academy of Sciences
Qing GU, University of Science and Technology Beijing
Fuhong LIN, University of Science and Technology Beijing
Haiyong Luo, Institute of Computing Technology, Chinese Academy of Sciences
Fang Zhao, Beijing University of Posts and Telecommunications
Jichao Jia, Beijing University of Posts and Telecommunications
Shihua Cao, Hangzhou Normal University
Chaonong Xu, China University of Petroleum-Beijing
Budan Wu, Beijing University of Posts and Telecommunications
Bin Li, North China Electric Power University
Zaiwen Feng, Wuhan University
Mingming Pan, China Electric Power Research Institute
Yutao Ma, Wuhan University
Chuan Shi, Beijing University of Posts and Telecommunications
Shaozong Wu, Research Insititute of Beijing Lucheng Technology Company
Shiming Tian, China Electric Power Research Institute
Xu Jie, Institute of Sensing Technology and Business, Beijing University of Posts and
Telecommunications
Zhongyi Chu, Beihang University
Yueyang Zhai, Beihang University
Hua Zou, Beijing University of Posts and Telecommunications
Bo Yang, Bombardier Transportation, Sweden
Feng Hong, Ocean University of China
Yu Zhang, Hainan University
Ridha Khedri, McMaster University, Ontario, Canada;
Muthukumaran Packirisamy, Concordia University, Montreal, Canada
Naoum Jamous ([email protected]), Otto von Guericke University Magdeburg, Germany.
Klaus Turowski ([email protected]), Otto von Guericke University Magdeburg, Germany;
Guohui Zhang, University of Hawaii, U.S.A.;
Zhengguo Sheng, University of Sussex, U.K.
Seung Ho Hong, Hanyang University, Korea
Aidong Xu, Shenyang Institute of Automation, Chinese Academy of Sciences
Meng Li, Shenyang Institute of Automation, Chinese Academy of Sciences
Tao Liu, Zhejiang University
Ming Zhan, Southwest University
Di Wu, Norwegian University of Science and Technology, Ålesund, Norway.
Neeraj Singh, INPT-ENSEEIHT / IRIT, University of Toulouse, France
Judith Molka-Danielsen, Molde University College, Norway
Girts Strazdins, Norwegian University of Science and Technology, Norway
Wei Cheng, Virginia Commonwealth University, USA
Lisha Li, Tsinghua University
Per Engelseth, Molde University College, Norway
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Shengke Wang, Ocean University of China
Hairong Yan, Beijing University of Technology
Hong-Ning Dai, Macau Univ. of Sci. and Tech.
Sonali Agarwal, Indian Institute of Information Technology, India
Na Pang, Institute of Information Engineering, Chinese Academy of Sciences.
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Exhibitors
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Keynote Speeches Smart Sensors and IoT - Research, Trends and Opportunities
Prof. M. Jamal Deen ([email protected]) President and Fellow of Academy of Science, Royal Society of Canada
Distinguished University Professor, McMaster University, Hamilton, Ontario CANADA.
Several of the grand challenges in engineering for current and future societal needs require smart
sensors and possibly Internet-of-Things (IoTs). For example, in the health area, smart sensing systems
with internet connectivity are required for screening, diagnostics and monitoring of a variety of
diseases and illnesses for the health of well-being of individuals. Using these screening, diagnostics
and monitoring systems, it will be feasible to catch diseases in their very early stages, which in turn
will significantly impact treatment and outcomes. In the health area, we will discuss major healthcare
issues related to aging, and several examples of smart sensor systems. These sensor systems will be for
determining walking signals, sleep management and customization to an individual’s needs, a living
diary, a smart home server that serves as the “brain” of a smart medical home, the architecture of a
smart medical home, and an example of a smart medical apartment we have developed. We will also
discuss some E-health collaborative projects for measuring blood oxygenation level, remote
temperature monitoring, and long-term blood glucose measurements. In the final part of the
presentation, we will discuss what are the trends and opportunities in smart sensors and IoTs. This will
include various high-impact applications of smart sensors, the pervasiveness of smart phones and their
feasible applications in sensing and monitoring, what are some healthcare market drivers, the growing
demand for personal health and wellness monitoring systems, IoTs, and wearable technologies. The
presentation will conclude with a discussion of the applications of smart sensors and IoT in a futuristic
healthcare smart home, and what are some important research issues in sensors, home networks,
autonomic systems and healthcare in the context of a smart medical home.
Prof. M. Jamal Deen is Distinguished University Professor, Senior Canada Research Chair in
Information Technology, and Director of the Micro- and Nano-Systems Laboratory, McMaster
University. His current research interests are nanoelectronics, optoelectronics, nanotechnology
and their emerging applications to health and environmental sciences. Dr. Deen’s research record
includes more than 550 peer-reviewed articles (about 20% are invited and with an h-index of 54),
two textbooks on “Silicon Photonics- Fundamentals and Devices” and” Fiber Optic Communications:
Fundamentals and Applications”, 12 awarded patents of which 6 were extensively used in industry,
and 17 best paper/poster/presentation awards. Over his career, he has won more than fifty-five
awards and honors.
As an undergraduate student at the University of Guyana, Dr. Deen was the top ranked mathematics and physics student
and the second ranked student at the university, winning the Chancellor’s gold medal and the Irving Adler prize. As a
graduate student, he was a Fulbright-Laspau Scholar and an American Vacuum Society Scholar. He is a Distinguished
Lecturer of the IEEE Electron Device Society for more than a decade. His awards and honors include the Callinan
Award as well as the Electronics and Photonics Award from the Electrochemical Society; the Distinguished Researcher
Award from the Province of Ontario; a Humboldt Research Award from the Alexander von Humboldt Foundation; the
Eadie Medal from the Royal Society of Canada; McNaughton Gold Medal (highest award for engineers), the Fessenden
Medal and the Ham Education Medal, all from IEEE Canada IEEE Canada In addition, he was awarded the four honorary
doctorate degrees in recognition of his exceptional research and scholarly accomplishments, professionalism and service.
Dr. Deen has also been elected Fellow status in ten national academies and professional societies including The Royal
Society of Canada - The Academies of Arts, Humanities and Sciences (the highest honor for academics, scholars and
artists in Canada), IEEE, APS (American Physical Society) and ECS (Electrochemical Society). Currently, he is serving
as the elected President of the Academy of Science, The Royal Society of Canada.
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Smart Manufacturing Cloud--A kind of Intelligent Manufacturing
system in “Internet+ Artificial Intelligence+ Big Data+” Era Prof. Bohu Li
Academician of Chinese Academy of Engineering, Fellow of the China Computer Federation (CCF)
China Aerospace Science & Industry Corp. (CASIC) and Beihang University, Beijing, China
Based on research &practice of authors’ team (Team of Research and Applications on Cloud
Manufacturing) since 2009, the report introduces the connotation of the smart cloud manufacturing
and the architecture, typical technical characteristics, body of knowledge, body of software
knowledge/tech., body of standard knowledge/tech., body of evaluation knowledge/tech., body of
supporting knowledge/tech., the implement principle, Chinese characteristics and benefits of the
smart cloud manufacturing system. In addition, the current status of cloud technologies,
applications and industry are briefly introduced.
The interpretation of the “Internet +Artificial Intelligence+ Big Data+” era is presented. Moreover,
the discussion proposes that smart manufacturing cloud is an embodiment and extension of cloud
computing in the manufacturing sector. It’s a kind of intelligent manufacturing system in “Internet
+ Artificial Intelligence + Big Data+” era.
A prototype of smart manufacturing cloud named as "Astronautics Cloud” including private cloud,
public cloud and international cloud developed by author's team is introduced. Then, some
application cases which have been successfully implemented on the "Astronautics Cloud" are
described.
Finally, further development of the smart manufacturing cloud are presented from the aspects of
innovation system construction and the collaborative development of "technology, application and
industry".
Prof. Bohu Li was the director of Beijing Institute of Computer Application &Simulation
Technology and the first director of Beijing Simulation Center, the Vice President of the science
&technical committee of the Second Academy of China Aerospace Science & Industry Corp.as
well as the dean of the School of Automatic Science and Electrical Engineering in BUAA. He was
also a member of the council of directors of Society for Modeling & Simulation International
(SCS). He served as a member of editorial board of the international journal “Simulation Modeling
Practice and Theory” (SIMPAT), the first president of Federation of Asian Simulation Societies
(ASIASIM). In addition, he was a member of expert committee of Automation Area and the
director of expert committee of Contemporary Integrated Manufacturing System (CIMS) Subject
in Chinese National High Technology Research and Development Plan (863 Plan).
He is currently the honorary dean of the School of Automatic Science and Electrical Engineering in BUAA, and serves
as the adviser of Beijing Simulation Center and the adviser of the science &technical committee of China Aerospace
Science & Industry Corp.. In addition, he is the co-president of Chinese Association for System Simulation (CASS), the
vice director of Manufacturing Committee in Chinese Society of Automation (CSA), and a Fellow of the China Computer
Federation (CCF). He is the co-chief-editor of the international journal “International Journal of Modeling, Simulation,
and Scientific Computing” (IJMSSC). In the fields of simulation and manufacturing informatization, he got 1 first class
scientific award and 3 second class scientific awards from China State, and 16 scientific awards from the Chinese Ministries.
In addition, he authored or co-authored 280 papers, 13 books and 4 translated books. In 2012, He got the SCS Life time
Achievement Award (SCS Modeling and Simulation Hall of Fame) of the Society for Modeling and Simulation
International. His recent research is focused on the modeling and simulation of complex system, high performance
simulation computer system, cloud simulation, cloud manufacturing, smart Manufacturing and smart city.
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Internet of Moving Things as Enabler of Industry 4.0 Prof. Victor C.M. Leung
Fellow of Royal Society of Canada, Eng. Institute of Canada, Canadian Academy of Eng., and IEEE
Area Editor of IEEE Trans on Green Communications and Networking
The University of British Columbia, Vancouver, BC, Canada V6T 1Z4
The “Internet of Things” (IoT), which interconnects cyber-physical systems and smart devices to
the Internet to enable many new services and applications such as smart grids, intelligent
transportation, e-health, smart homes, smart factories, and smart cities are becoming an important
part of the global telecommunications infrastructure. The marriage of IoT with intelligent moving
things, referred as “Internet of Moving Things” (IoMT) in this presentation, promises to
revolutionize logistics and manufacturing, and could very well be a key enabler of the emerging
Industry 4.0. For IoMT to maintain its connectivity to the global Internet while the things at the
end points are moving, wireless communications capability is indispensable. We shall start the
presentation by giving an overview of the architecture of IoT, and describing several key wireless
communication standards that support short range and long range machine-type communications,
while considering how mobility impacts communication performance. We shall study several
use cases of IoMT, highlighting those that are promising in industrial environments. We
conclude by proposing an ICT framework for Industry 4.0 enabled by IoMT, and suggest some
research directions to realize this framework.
Prof. Victor C. M. Leung is a Professor and the holder of the TELUS Mobility
Research Chair in Advanced Telecommunications Engineering in the
Department of Electrical and Computer Engineering, the University of
British Columbia (UBC). His research interests are in the areas of wireless
networks and mobile systems, where he has co-authored more than 1000
technical papers in international journals and conference proceedings, 37
book chapters, and edited 12 book titles. Several of his papers have been
selected for best paper awards.
Dr. Leung is a registered professional engineer in the Province of British
Columbia, Canada. He is a Fellow of IEEE, the Royal Society of Canada, the
Engineering Institute of Canada, and the Canadian Academy of Engineering.
He was a Distinguished Lecturer of the IEEE Communications Society. He has served on the editorial
boards of the IEEE Journal on Selected Areas in Communications – Wireless Communications Series and
Series on Green Communications and Networking, the IEEE Transactions on Computers, Wireless
Communications, and Vehicular Technology, and currently serves on the editorial boards of the IEEE
Wireless Communications Letters, IEEE Transactions on Green Communications and Networking
Computer Communications, IEEE Transactions on Cloud Computing, as well as several other journals.
He has guest-edited many journal special issues, and served on the technical program committees and
organizing committees of numerous international conferences. Dr. Leung is a winner of the IEEE
Vancouver Section Centennial Award and the 2011 UBC Killam Research Prize. He co-authored papers
that won the 2017 IEEE Communications Society Fred W. Ellersick Prize and the 2017 IEEE Systems
Journal Best Paper Award.
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Enterprise System Analysis, Modeling and Simulation Prof. Xinguo Zhang
President of Beijing Chapter of the International Council on Systems Engineering (INCOSE)
Vice Chairman of the Board of Chinese Society of Aeronautics & Astronautics (CSAA)
Associate Fellow of AIAA
Senior Executive Vice President R&D and CIO, Aviation Industry Corporation of China (AVIC)
President of Chinese Aeronautical Establishment (CAE)
Abstract coming soon….
Prof. Xinguo Zhang has been working for more than 30 years in AVIC. He has rich experience
in control system engineering, complex system engineering. He has played a leadership role in
the innovation and transformation of architecture centric/model based system engineering and
intelligent manufacturing in AVIC.
His publications included The New Wave of Scientific Management and Theory and
Application of Maturity Model in Defense Materiel System Engineering. He translated and
published books entitled System Engineering Handbook(INCOSE) and Survey of Model-Based
Systems Engineering(MBSE) Methodologies(INCOSE).
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Health Convergence in the Era of Industry 4.0: Challenges and Opportunities Prof. Yuan-Ting Zhang
IAMBE Fellow, IEEE Fellow and AIMBE Fellow
Editor-in-Chief, IEEE Reviews in Biomedical Engineering
Past Editor-in-Chief, IEEE Transactions on Information Technology in Biomedicine
Past Editor-in-Chief, IEEE Journal of Biomedical and Health Informatics
Director, Key Lab for Health Informatics of Chinese Academy of Sciences
Dept. of EE at the Chinese University of Hong Kong
Health convergence requires not only interdisciplinary research across multiple scales in the biological
hierarchy from molecular, cell, organ to system; but also the integration of science, engineering,
technology and medicine with the ultimate goal of translation to practical use for human health. This
talk will focus on the convergence aspects of wearable/flexible 'MINDS' sensing and multi-modal
imaging for the early prevention of acute cardiovascular diseases. Using the atherosclerotic plaque
assessment and wearable unobtrusive BP estimation as application examples, this talk will attempt to
illustrate that the health convergence approaches should allow the practice of 8-Ps medicine that is
precise, pervasive, predictive, preventive, personalized, participatory, preemptive, and patient-
centralized.
Prof. Yuan-Ting Zhang is the founding Director of the Key Lab of Health Informatics of Chinese Academy of Sciences (HICAS) and the Chief Scientist of CAS Shenzhen Institutes of Advanced Technology. He was the Director of the Joint Research Center for Biomedical Engineering and the first Head of the Division of Biomedical Engineering at the Chinese University of Hong Kong. He was the Sensing System Architect in Health Technology at Apple. Prof. Zhang was the Editor-in-Chief for IEEE TITB and IEEE Journal of Biomedical and Health Informatics. He served as Vice Preside of IEEE EMBS. Prof. Zhang is currently the Editor-in-Chief for IEEE Reviews in Biomedical Engineering, co- Chair for EMBC'17 in Korea, Chair of 2018 Gordon Research Conference on Advanced Health Informatics, and
Chair of IEEE Award Committee in Biomedical Engineering. Prof. Zhang won a number of international awards including the IEEE-SA leadership and contribution award for developing a new standard IEEE 1708 and IEEE-SA 2014 Emerging Technology Award. Prof. Zhang is IAMBE Fellow, IEEE Fellow and AIMBE Fellow.
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Digitalization of industries: challenges and opportunities Dr. Qianjin Liu
Chief Technology Officer, ABB China, Beijing, China
Modern industry is deeply impacted by ever-increasing device connectivity, computing capability
and wide-band communication. The major challenge to the industrial players is to transform their
currently business operation with intranet to internet, and then tap value out of such explosive data
into their daily business.
This presentation will introduce ABB newly released digital platform-ABB Ability and its global
practice toward this effort.
Dr. Qianjin Liu graduated from Wuhan Univ in 1996 and received master & PhD in Electrical Engineering from Tsinghua in 2002. He also holds a management diploma from CEIBS. He joined ABB (China) Ltd in 2003 as a R&D engineer and took different technical management positions in R&D. Presently he is the Director of Corporate Research and Chief Technology Officer of ABB China. His technical interest included Power electronics, Renewable and smart grid etc.
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Broad Learning: An effective and efficient incremental learning without the need
for deep structure Prof. C. L. Philip Chen ([email protected])
FIEEE, FAAAS, FCAA, FHKIE
Dean and Chair Professor, Faculty of Science and Technology, University of Macau, Macau, China
In recent years, deep learning caves out a research wave in machine learning. With outstanding
performance, more and more applications of deep learning in pattern recognition, image
recognition, speech recognition, and video processing have been developed.
The talk is to introduce “Broad Learning” – a very fast and accurate learning without deep structure.
Without stacking the layer-structure, the designed neural networks expand the neural nodes
laterally and update the weights of the neural networks incrementally when additional nodes are
needed and when the input data entering to the neural networks continuously. The designed
network structure and learning algorithm are perfectly suitable for modeling and learning big data
environment. Experiments indicate that the designed structure and algorithm out-perform existing
structures and learning algorithms.
Prof. C. L. Philip Chen is currently the Dean of the Faculty of Science and
Technology, University of Macau, Macau, China and a Chair Professor of the
Department of Computer and Information Science since 2010. He worked at U.S. for
23 years as a tenured professor, a department head and associate dean in two different
universities.
Dr. Chen’s research areas are in systems, cybernetics and computational intelligence.
He is a Fellow of the IEEE and AAAS. He was the President of IEEE Systems, Man,
and Cybernetics Society (SMCS) (2012-2013). Currently, he is the Editor-in-Chief of
IEEE Transactions on Systems, Man, and Cybernetics: Systems (2014-). He has been an Associate Editor
of many IEEE Transactions, and currently he is an Associate Editor of IEEE Trans on Fuzzy Systems,
IEEE Trans on Cybernetics, IEEE/CAA Automatica Sinica, and several IEEE Transactions. He is also a
Fellow of CAA and Fellow of HKIE and an Academician of International Academy of Systems and
Cybernetics Science (IASCYS). He was the Chair of TC 9.1 Economic and Business Systems of IFAC and
was an ABET (Accreditation Board of Engineering and Technology Education, USA) Program Evaluator
for Computer Engineering, Electrical Engineering, and Software Engineering programs.
Dr. Chen he received Outstanding Electrical and Computer Engineering Award in 2016 from his alma
mater, Purdue University, West Lafayette, where he received his Ph.D. degree in 1988; after he received
his M.S. degree in electrical engineering from the University of Michigan, Ann Arbor, in 1985.
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Wireless Communication Networks for the Industrial Internet of
Things
Prof. Branka Vucetic Fellow of Australian Academy of Technological Sciences and Engineering
Fellow of IEEE, ARC Laureate Fellow
Centre of Excellence in Telecommunications at the University of Sydney, Australia
The Industrial Internet of Things (IIoT) is ushering in a fourth wave of the industrial revolution,
and will have the power to transform industrial automation and manufacturing. While traditional
wired communication technologies have played a crucial role in industrial monitoring and control
over the past few decades, they are inadequate to meet the highly dynamic and stringent demands
of emerging IIoT applications, primarily due to the rigidity of access to wired infrastructure.
Wireless technology, through its increased pervasiveness, has the potential to revolutionise the
industry by introducing a completely new class of applications. While present day wireless
technologies made some preliminary inroads in the metering and monitoring domains, they still
have severe limitations especially when real-time, reliable distributed control and protection
operations are concerned, due to their high latencies and insufficient reliability. For current high
performance networked control, fiber-optic wired networks are exclusively used as their latencies
are significantly lower than those in wireless networks. Wireless systems, however, provide
flexible access, are easy and cost-effective to deploy, extend and maintain.
In order to facilitate wireless connectivity in industrial monitoring and control, it is imperative to
develop new theories, mechanisms and technologies for wireless networks with consistently
ultralow latencies and ultrahigh reliability.
In this talk I will present the state-of-the art wireless technologies for industrial internet use cases
and outline the gap between their current and required performance. I will describe the main
standardisation activities to overcome this gap and recent results in wireless communications
research at Sydney University Centre of Excellence in Telecommunications. Prof. Branka Vucetic is an ARC Laureate Fellow and Professor in Telecommunications at the University of Sydney, where she directs the Centre of Excellence in Telecommunications. Prof. Vucetic has made seminal contributions to the fields of coding and wireless communications. Her design of adaptive coding schemes has remained a permanent feature of multiple wireless standards over more than a decade. Prof. Vucetic’s soft output detection and decoding algorithms have been widely used in mobile communications systems. With her team Prof. Vucetic established theoretical framework and design criteria for adaptive modulation and coding in MIMO systems. Her current work is focused on building ultra-low latency and ultra-high reliability communication networks for IoT applications.
She has provided R&D support to the Australian federal government’s Smart Grid, Smart City national demonstration project on its wireless solutions. Professor Vucetic received the Chinese Government Friendship Award in 2014 by the China’s central government for continuous and sustained cooperation in education, science and technology. She is a Fellow of the Australian Academy of Science, the Australian Academy of Technological Sciences and Engineering and IEEE.
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Plenary Speeches of Innovation & Entrepreneurship Forum
Intelligent life begins with ZEM-HOME
Xu dong Founder of Tianjin ZEM-HOME intelligent technology co.
Tianjin ZEM-HOME intelligent technology co., LTD., which was founded in 2015, is a high-tech
company that sets up the independent research and development of intelligent hardware, the
Internet of things integrated solutions, intelligent home ecosystem solutions. For only two short
years, ZEM-HOME company seizes the historic opportunity for rapid development of smart home
and Internet of things ,It based on customer demand, adhere to the user as the center, continuous
innovation and used from the traditional retail extraordinary business model through the integration
of superior resources and played a complementary industry with the aid of mature channel partners.
It quickly opened up the retail supermarket, petrochemical, finance and real estate developer
channels, obtained a large number of users, which won the respect and trust of the users. Nowadays,
we develope the "DOSLOCK" series of intelligent products and intelligent home solutions, take
the "One Belt And One Road" national strategy , has been widely used in more than 20 countries
and regions, ZEM-HOME company is being more and more families favoured by the user. ZEM-
HOME company is willing to hand in hand with more partners, and strive to build a more efficient
integration of the Internet of things system, make every family in the world can enjoy the new life
experience, and thus to promote the progress of the times together. The ZEM-HOME company,
always firmly believing, though the road is far, the line will go; a thing is difficult, it will be done. Xu dong, male, Founder of Tianjin ZEM-HOME intelligent technology co., LTD., He is responsible for the company's overall operation and development planning. In 2013, He founded Tianjin pinrui technology co., LTD., responsible for the overall operation of the company and the design and implementation of intelligent building. Took office in 2010, Tianjin Back back good science and technology development co., LTD., as a sales director, responsible for the sales team of operations management and marketing planning, tenure has created Ozing, Back back good series product sales of myth in tianjin area.
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Intelligent Control and Industrial Internet of Things (IIoT)
Song Guiling Vice general manager, Wuxi Beiyou Sensing Technology and Industry Research Institute Co. Ltd.
Modern industrial control meet the new challenge from automation and IT technology. With over
10 years real industrial control experience, we would overview the history of automation firstly,
give a brief glance at the layout of Intelligent control as well as Manufacturing Product Lines,
including: intelligent controller, field bus, I/O module, motion control, industrial solutions,
application cases, etc. Secondly, the importance of Industrial Information Cloud Platform would
be concerned. Architecture of Cloud Platform would be given with the Built-in Functions of Cloud
Platform, such as: Data Parsing, Remote HMI, Remote Diagnosis, Remote Programming, Smart
Data Analysis, Video Stream, API, etc. Finally, case study in terms of intelligent control and
industrial cloud platform would be presented as the demonstration of our approach to IIoT
(Industrial Internet of Things). Mr. Song has been working in Software Engineering field about 17 years. He holds a Master in Software Engineering. He is a Ph. D. candidate in computer science and technology at Beijing University of Posts and Telecommunications now. He was awarded the title of “advanced worker” of Jiangsu Economic and Information Technology Commission in 2008. He is a member of Laboratory of Mobile Robot & Intelligent Technology ,BUPT. He owns 11 software copyrights and 3 patents for inventions. He was also involved in several national key projects like “973 Science and Technology Plan” and “Technology Support Program ” of Ministry of Science and Technology, China.
Program at a Glance Time 21-sep 22-sep 23-sep 24-sep
From To Hall Hall Ballroom Room1 Room2 Room3 Hall Ballroom Hall Room1 Room2 Room3
08:30 09:00
Preparation of Posters
Poster and
Exhibition
Opening
Poster and
Exhibition
Session IV
Session V
Session VI
09:00 09:40 Keynote:
Jamal Deen
09:40 10:20 Keynote: Bohu Li
10:20 10:40 Coffee break Coffee break
10:40 11:20 Poster Session
Commit
tee meeting
Keynote: Victor Leung
Removal of Poster
and Exhibition
Session VII
Session VIII
Session IV
11:20 12:00 Keynote:
Xinguo Zhang
12:00 13:30 Lunch Lunch
13:30 14:10
Registration and
Preparation of
Exhibitions
Poster and
Exhibition
Innovation and
Entrepre-neurship
Forum
Keynote: Yuanting Zhang
14:10 14:50 Keynote:
Qianjin Liu
14:50 15:30 Keynote:
Philip Chen
15:30 15:50 Coffee break Group Photo
15:50 16:10
Session
I Session
II Session
III
Coffee break
16:10 16:50 Keynote:
Branka Vucetic
16:50 17:30 Panel
Discussion
17:30 18:00 Walk to Unisplendour International Center Walk to Wenjin Hotel
18:00 20:00 Welcome Reception
(Unisplendour International Cente 紫光国际中心)
Banquet and Awards Ceremony
(Wenjin Hotel文津酒店)
Locations The conference venue: Venue: Central Main Building (中央主楼),
Address: Tsinghua University, Haidian Qu, Beijing, China, Post Code 100084
23
The rooms: Hall, Ballroom, Room 1, Room 2, Room 3 <map to be added show all the rooms on the map, to be added, >
Registration, Poster and Exhibition: Hall of the Central Main Building (中央主楼大厅)
Note: the registration, posters and exhibitions are always available throughout the
conference days. The exhibitions should be setup on Sep 21 afternoon, the posters
should be setup on Sep 22 morning, and they should all be removed on Sep 24 noon.
Lunch on Sep 22-23 and Welcome Reception on Sep 22 Coffee & Bar
Unisplendour International Center (紫光国际交流中心)
Building 10, Zhongguancun East Rd 1, Haidian Qu, Beijing, China, Post Code 100084
海淀区中关村东路 1 号院 10 号楼 邮政编码: 100084
Banquet and Awards Ceremony on Sep 23 The Banquet Room (宴会厅)
Wenjin International Hotel (文津国际酒店)
Building 5, Zhongguancun East Rd 1, Haidian Qu, Beijing, China, Post Code 100084
海淀区中关村东路 1 号院 5 号楼 邮政编码: 100084
24
Overall Schedule
Sep 21, 2017, Location: The Central Main Building
Time Event Location 13:30 17:30 Registration and Preparation of Exhibitions Hall
Sep 22, 2017, Location: The Central Main Building
Time Event Location 8:30 10:40 Preparation of Posters Hall 10:40 12:00 Poster Session (Hall) Committee meeting (Room 1)
12:00 13:30 Lunch Unisplendour
13:30 15:30 Innovation & Entrepreneurship Forum
<breakdown schedule to be added>
Ballroom
15:30 15:50 Coffee break Hall
15:50 17:30 Session I (Room 1)
Industrial Big Data
Session II (Room 2)
IoT for Health &
Aging
Session III (Room 3)
Industrial Wireless
Networks
17:30 18:00 Walk to Unisplendour International Center
18:00 20:00 Welcome Reception Unisplendour
Sep 23, 2017, Location: The Central Main Building
Time Event Location
08:30 09:00 Opening
<breakdown schedule to be added> Ballroom
09:00 09:40 Keynote: Jamal Deen
Smart Sensors and IoT - Research, Trends and Opportunities Ballroom
09:40 10:20
Keynote: Bohu Li
Smart Manufacturing Cloud--A kind of Intelligent Manufacturing
system in “Internet+ Artificial Intelligence+ Big Data+” Era
Ballroom
10:20 10:40 Coffee break Hall
10:40 11:20 Keynote: Victor Leung
Internet of Moving Things as Enabler of Industry 4.0 Ballroom
11:20 12:00 Keynote: Xinguo Zhang
Enterprise System Analysis, Modeling and Simulation Ballroom
12:00 13:30 Lunch Unisplendour
13:30 14:10
Keynote: Yuanting Zhang
Health Convergence in the Era of Industry 4.0: Challenges and
Opportunities
Ballroom
14:10 14:50 Keynote: Qianjin Liu
Digitalization of industries: challenges and opportunities Ballroom
14:50 15:30
Keynote: Philip Chen
Broad Learning: An effective and efficient incremental learning
without the need for deep structure
Ballroom
25
15:30 15:50 Group Photo (Lawn towards the entrance of the Hall)
15:50 16:10 Coffee break Ballroom
16:10 16:50
Keynote: Branka Vucetic
Wireless Communication Networks for the Industrial Internet of
Things
Ballroom
16:50 17:30 Panel Discussion Ballroom
17:30 18:00 Walk to Wenjin International Hotel
18:00 20:00 Banquet and Awards Ceremony Wenjin
Sep 24, 2017, Location: The Central Main Building
Time Event Location
8:30 10:10
Session IV (Room 1)
Software Architecture
for Industrial CPS
Session V (Room 2)
Transportation and
Mobility Informatics
Session VI (Room 3)
Human Factors and
Ergonomics
10:10 10:30 Coffee break Hall
10:30 12:30
Session VII (Room 1)
Machine Learning
and Artificial
Intelligence
Session VIII (Room 2)
Advanced Sensing for
Industry4.0
Session IX (Room 3)
Cloud Manufacturing
and Services
26
Program of Innovation and Entrepreneurship Forum
<to be added>
27
Detailed schedule of oral sessions
Afternoon, Sep 22, 2017, Location: Main Building Session I Industrial Big Data
Chairs Prof. Hao Wang, Norwegian University of Science and Technology
Location Room 1, Main Building
Time Paper title, authors, and affiliations Paper ID
15:50 16:10
The Location and Capacity of Distributed Generation Based on Genetic Algorithm Ye Zezhou, Lin Rongheng, Zou Hua, Wu Budan (Beijing University of Posts and Telecommunications) and Guo Naiwang (State Grid Shanghai Municipal Electric Power Company)
78
16:10 16:30
Identifying Electricity Consumer Characteristics Based on Load Pattern Grouping Zigui Jiang, Rongheng Lin, and Fangchun Yang (Beijing University of Posts and Telecommunications)
83
16:30 16:50
Typhoon early warning modeling for regional disaster evaluation Di Wu, Zelong Li, Uzair Aslam Bhatti, Mengxing Huang, and Haojing Zhang (Hainan University)
136
16:50 17:10
Big Data Analytics for Air Quality Monitoring at a Logistics Shipping Base via Autonomous Wireless Sensor Judith Molka-Danielsen, Per Engelseth, Veronika Olešnaníková , Peter Šarafín, and Róbert Žalman (Molde University College)
72
17:10 17:30
Data-Driven Quality Control for a Water Supply System Di Wu, Hadi Mohammed, Hao Wang, and Razak Seidu (Norwegian University of Science and Technology)
116
Session II Industry4.0 for Health and Aging
Chairs Prof. Geng Yang, Zhejiang University
Location Room 2, Main Building
Time Paper title, authors, and affiliations Paper ID
15:50 16:10 Hand Rehabilitation Using Virtual Reality and Electromyography Signals Xuerui Yang, Shih-Ching Yeh, Jian Niu and Geng Yang (Zhejiang university).
5
16:10 16:30
Health recommendation graphical data mining model over Big Data Uzair Aslam, Mengxing Huang (Hainan University), Hao Wang (Norwegian University of Science and Technology, Norway), Yu Zhang and Huirui Han (Hainan University)
159
16:30 16:50 Effects of Virtual Reality and Augmented Reality on Induced Anxiety Yuan-Yuan Li, Pin-Hua Chiu, Shih-Ching Yeh and Chu Zhou (Fudan University)
53
16:50 17:10 Proportion-Based Fuzzy Gait Phase Detection Algorithm Using the Plantar Pressure
42
28
Shuo Ding, Xiaoping Ouyang, Geng Yang, Jinjiang Yang and Huayong Yang (Zhejiang University).
17:10 17:30
A framework of diagnosis recommender system based on multiple data sources Huirui Han, Yu Zhang, Hao Wang (Norwegian University of Science and Technology), Mengxing Huang and Uzair Aslam Bhatti (College of Information Science & Technology, Hainan University).
158
Session III Industrial Wireless Networks
Chairs Prof. Wei Liang, Shenyang Institute of Automation, Chinese Academy of
Sciences
Location Room 3, Main Building
Time Paper title, authors, and affiliations Paper ID
15:50 16:10
Comprehensive Analysis on Heterogeneous Wireless Network In High-speed Scenarios Yuyang Zhang, Tao Zheng (Beijing Jiaotong University, Ping Dong (Beijing Jiaotong University) and Hongbin Luo (Beijing Jiaotong University)
71
16:10 16:30
Real-time and Non-intrusive On-site Diagnosis for Commissioning Wireless Sensor and Actuator Networks in Building Automation Hui Zhu (Royal Institute of Technology), Zhibo Pang (ABB AB, Corporate Research), Binbin Xie (Royal Institute of Technology) and Michele Luvisotto (Department of Information Engineering, University of Padova)
156
16:30 16:50
Location aided commissioning of building automation devices enabled by high accuracy indoor positioning Binbin Xie (Royal Institute of Technology), Zhibo Pang (ABB AB, Corporate Research), Hui Zhu (Royal Institute of Technology) and Michele Luvisotto (Department of Information Engineering, University of Padova)
157
16:50 17:10
The Research of Long-Chain Wireless Sensor Network Based on 6LoWPAN Weilan Lin (Shenyang Institute of Automation, Guangzhou, Chinese Academy of Sciences), Zhiyi Fan, Yingchun Zhong (Guangdong University of Technology), Shuangfei Zi and Jinchao Xiao (Shenyang Institute of Automation, Guangzhou, Chinese Academy of Sciences)
85
17:10 17:30
A Fairness-Aware Scheduling Algorithm for Industrial Wireless Sensor Networks with Multiple Access Points Huaguang Shi (Shenyang institute of Automation, Chinese Academy of Sciences), Meng Zheng (Shenyang institute of Automation, Chinese Academy of Sciences), Wei Liang (Shenyang institute of Automation, Chinese Academy of Sciences), Zhe Luo (Hanyang University) and Seung Ho Hong (Hanyang University).
161
29
Morning, Sep 24, 2017, Location: Main Building
Session IV Software Architecture for Industrial CPS
Chairs Dr. Hongyu Pei Breivold, ABB Corporate Research
Location Room 1, Main Building
Time Paper title, authors, and affiliations Paper ID
8:30 8:50
OPC UA-based Smart Manufacturing: System Architecture, Implementation, and Execution Zhe Luo, Seung Ho Hong, Renzhi Lu, Yuting Li, Xiongfeng Zhang), Jongbeom Kim, Taeyang Park (Hanyang University), Meng Zheng and Wei Liang (Shenyang Institute of Automation, Chinese Academy of Sciences)
92
8:50 9:10
Internet-of-things and Cloud Computing for Smart Industry: A Systematic Mapping Study Hongyu Pei Breivold (ABB Corporate Research).
11
9:10 9:30
Research on the technical architecture for building CPS and its application on a mobile phone factory Zhehan Chen, Xiaohua Zhang and Ketai He (University of Science and Technology Beijing).
69
9:30 9:50 An XML based information integration for Machine, MES and ERP Chao Yin, Yimei Yang and Xiaobin Li (Chongqing University)
24
9:50 10:10 A recommendation system for collaborative visualization platforms Taiyang Peng and Jinqi Peng (Beihang University)
32
Session V Transportation and Mobility Informatics
Chairs Prof. Haiyong Luo, Chinese Academy of Sciences
Location Room 2, Main Building
Time Paper title, authors, and affiliations Paper ID
8:30 8:50
Non-line-of-sight Error Analysis Model Based on Fitting Liu Wen, Deng Zhongliang, Li Cheng and Yan Xiaohan (Beijing University of Posts and Telecommunications)
65
8:50 9:10
Transportation Mode Recognition Algorithm based on Multiple Support Vector Machine Classifiers Shaomeng Chen (Beijing University of Posts and Telecommunications), Haiyong Luo (Chinese Academy of Sciences), Fang Zhao (Beijing University of Posts and Telecommunications), Weichao Yuan (Chinese Academy of Sciences) and Mengling Jiang (Beijing University of Posts and Telecommunications)
68
9:10 9:30
Transportation Mode Recognition Algorithm based on Bayesian Voting Yanjun Qin (North University of China School), Mengling Jiang (Beijing University of Posts and Telecommunications), Weichao Yuan (Chinese Academy of Sciences), Shaomeng Chen (Beijing University of Posts and Telecommunications) and Haiyong Luo (Chinese Academy of Sciences).
81
9:30 9:50 Development of a Generalization Bass Diffusion Model for Chinese Electric Vehicles Considering Charging Stations
100
30
Yushan Li, Gangyi Ma, and Lefei Li (Tsinghua University).
9:50 10:10
An experimental research facing to the humanity design of HUD failure alerts Chuanyan Feng, Xiaoru Wanyan, Guoqiang Sun, Damin Zhuang and Xu Wu (Beihang University)
45
Session VI Human Factors and Ergonomics in Industrial Systems
Chairs Prof. Liang Ma, Tsinghua University
Location Room 3, Main Building
Time Paper title, authors, and affiliations Paper ID
8:30 8:50 How the antireflection film affects the visual fatigue by visual search testing Yunhong Zhang and Chaoyi Zhao (China National Institute of Standardization)
50
8:50 9:10
Human work evaluation based on wearable sensors in human factors and ergonomics: A review Liuxing Tsao, Liang Ma and Lefei Li (Department of Industrial Engineering, Tsinghua University)
26
9:10 9:30
How to Design the Feedback Information from a Smart Agent to Promote Energy Conservation? Markus Swoboda, Xiang Ji, Na Sun and Pei-Luen Patrick Rau (Department of Industrial Engineering, Tsinghua University)
22
9:30 9:50
The attitude of senior adults to text entry of Chinese characters on the mobile device Bingjun Xie, Jia Zhou, and Zhe Chen (Chongqing University)
62
9:50 10:10
Articulation work in subsea operations: Taking teamwork seriously in assessment of subsea operations Yushan Pan, Eirik Homlong, Hans Petter Hildre, and Steinar Nistad (Norwegian University of Science and Technology)
146
31
Session VII Machine Learning and Artificial Intelligence
Chairs Prof. Rongheng Lin, Beijing University of Posts and Telecommunications
Location Room 1, Main Building
Time Paper title, authors, and affiliations Paper ID
10:30 10:50
The supply chain network on cloud manufacturing environment based on COIN model with Q-Learning algorithm Jinqi Peng (Beihang University)
31
10:50 11:10
Object Detection based on Visual Memory: A Feature Learning and Feature Imagination Process Wei Jiang (North University of China, Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences), Mingqiang Lin and Houde Dai (Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences).
47
11:10 11:30
Occlusion Edges Extracation for Depth Ordering Inference from Monocular Images Aiwei Yu, Anlong Ming, Menghan Zhou, Xuejing and Yu Zhou (Beijing University of Posts and Telecommunications)
112
11:30 11:50
A Faster-RCNN Based Chemical Fiber Paper Tube Defect Detection Method Yuzhou Shi, Yuanxiang Li (Shanghai Jiao Tong University) and Xian Wei (Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences)
38
11:50 12:10
Remaining Useful Life Prediction for Lithium-ion Battery Based on Autoencoder and Deep Neural Network Shiqiang Zhao, Jin Cui and Yaqiang Sun (Beihang University)
66
12:10 12:30
Bearing Remaining Useful Life Prediction Based on Deep Autoencoder Feature Fusion Yaqiang Sun, Jin Cui and Xuejun Cheng (Beihang university)
33
Session VIII Advanced Sensing for Industry4.0
Chairs Prof. Heng Yuan, Beihang University
Location Room 2, Main Building
Time Paper title, authors, and affiliations Paper ID
10:30 10:50
MOSFET‒Hybrid Threshold Mode of Gated Lateral BJT for ion sensor Heng Yuan, Ruiyuan Li, Ning Zhang, Chen Zhang, Lixia Xu, Jixing Zhang, Guodong Bian, Gangyuan Zhang, and Pengcheng Fan (Beihang University)
129
10:50 11:10
LSPR Detection of Extracellular vesicles (EVs) using a silver-PDMS nano-composite platform Muthukumaran Packirisamy (Concordia University, Canada)
163
11:10 11:30
Rotate Vector Reducer Crankshaft Fault Diagnosis Using Acoustic Emission Techniques Haibo An, Wei Liang, Yinlong Zhang, Yang Li (Shenyang Institute of Automation, Chinese Academy of Sciences, University of Chinese Academy of
162
32
Sciences), Ye Liang (Beijing Key Laboratory of Information Service Engineering, Beijing Union University) and Jindong Tan (Department of Mechanical, Aerospace and Biomedical Engineering, University of Tennessee)
11:30 11:50
PLL with Piecewise Judgement Function for SMO Based Sensorless Control of PMSM Peng Tao, Fengxiang Wang, Xuezhu Mei (Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences) and Jinxin Lin (Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences)
82
11:50 12:10
Analysis of a six-axis industrial robot’s dynamic path accuracy based on an optical tracker Zhirong Lin, Houde Dai, Zhouxin Wu, Yadan Zeng, Shijian Su, Xuke Xia, Mingqiang Lin (, Haixi Institutes, Chinese Academy of Sciences) and Hsiu Yu (Industrial Technology Research Institute (ITRI))
44
12:10 12:30
Research Methods for Human Activity Space Based on Vicon Motion Capture System Yahui Bai (Zhengzhou University), Huimin Hu (China National Institute of Standardization), Yinxia Li (Zhengzhou University), Chaoyi Zhao, Ling Luo and Rui Wang (China National Institute of Standardization)
13
Session IX Cloud Manufacturing and Services
Chairs Prof. Lei Ren, Beihang University
Location Room 3, Main Building
Time Paper title, authors, and affiliations Paper ID
10:30 10:50
A production-based scheduling model for complex products in cloud environment Feng Li, Lin Zhang and Lei Ren (Beihang university)
111
10:50 11:10 A framework for agile configuration of product structure data Yifan Qie, Lihong Qiao, Jian Zhan, and Pinxue Rao (Beihang university)
133
11:10 11:30
Genetic algorithm based novel methodology of multi-constraint job scheduling Zhenwei Zhang, Lihong Qiao and Muhammad Kashif Nawaz (Beihang university)
34
11:30 11:50
Hierarchical scheduling for multi-constrained flexible job shop based on heuristic and intelligent optimization algorithms Baoan Han (Beihang University)
88
11:50 12:10
Speeding up 3D Printing Using Multi-head Slicing Algorithms Yuexuan Wang (Zhejiang Univ. and The Univ. of Hong Kong), Zhaoquan Gu (Guangzhou Univ. and The Univ. of Hong Kong), Lei Song (Rayland), Tongyang Li (Univ. of Maryland), Heming Cui and Francis Lau (The Univ. of Hong Kong).
108
12:10 12:30
Implementation of MTConnect in machine monitoring system for CNCs Siyi Chen, Chao Yin and Xiaobin Li (Chongqing University of Posts and Telecommunications)
37
33
Details of papers in the Poster Session
Floor plan of Posters
<add a map here, show the paper IDs on the floor plan of the Hall>
Sep 22, 2017, 10:40 - 12:00, Location: Hall
34
Paper ID Poster title, authors, and affiliations
96
Daily Load Data Analysis based on Optimal Evolutionary Clustering
Xingdong Zeng, Rongheng Lin and Hua Zou(Beijing University of Posts and
Telecommunications)
97 Data Cleaning Method Based on Time Series Similarity Measurement for Large-
Scale Smart Grid Load Data
Yu Lei, Rongheng Lin and Hua Zou (Beijing University of Posts and
Telecommunications)
143 Magnetic sensing of magnetization in magnetotactic bacteria with nitrogen vacancy
centers in dimond
Ning Zhang, Chen Zhang, Lixia Xu, Guodong Bian, Lisha Zheng and Heng Yuan (
Beihang University)
106 Learning action pattern for activity recognition
Jingyi Feng, Anlong Ming, Chao Yao and Yu Zhou (Beijing University of Posts and
Telecommunications)
139 A proposal of NV center in nanodiamond based magnetometer toward human
neuron AP detection
Heng Yuan, Jixing Zhang, Chen Zhang, Ning Zhang, Lixia Xu, Guodong Bian, Ruiyuan
Li, Gangyuan Zhang, Pengcheng Fan, Jiancheng Fang, Bo Li, Zhibo Pang and Lisha
Zheng (Beihang University)
87 Based on the network pricing and unascertained membership wireless network
resource management algorithm
Ma Xingmin and Cao Yu (University of Science and Technology Beijing)
64 Improving early OSV design robustness by applying ‘Big Data Analytics’ on a
ship s life cycle
Nikisadat Abbasian (Islamic Azad University of Tehran, Iran ), Afshin Salajegheh
(Islamic Azad University) and Henrique Gaspar Marilo (NTNU of Ålesund, Norway)
109 Virtual Sense Oriented Artificial Fish Interaction Method
Di Wu (Norwegian University of Science and Technology) and Xiaojuan Ban
(University of Science and Technology Beijing)
7 Big data in Wisdom manufacturing
Jiajun Zhou (South China University of Technology)
134 A Model-based Method for Assisting Decision Making Process in product Development
Tewodros Gebererufael Gebreegziabher, Lihong Qiao, Yifan Qie and Na Cai (Beihang
University)
80 The Application of Surface Electromyography and Pressure System on Cyclists'
Body Fatigue
Li-Zhen Zhang, Wan-Xia Sheng, Nan Yang, Qi Shao and Peng-Fei Sun (Shanghai
Ocean University)
103 Personalization in dynamic assortment planning: An analysis based on multi-agent
simulation method
Shu Yun Yang and Le Fei Li (Tsinghua University)
101 Studying subway operation in schemes based on the combination of fast and slow lines
Gangyi Ma, Yushan Li and Lefei Li (Tsinghua University)
35
154 An Optimized Resource Efficient Approximation of max* Operator for
Recalculation in Turbo Code Decoder
Mao Mingyang (Southwest University), Zhu Feng (Shanghai Jiao Tong University) and
Qiao Jingwei (Univ. of Elec. Sci. & Tech. of China)
76 An Experimental Performance Evaluation of the Orientation Accuracy of Four
Nine-Axis MEMS Motion Sensors
Zhirong Lin, Yongsheng Xiong, Houde Dai and Xuke Xia (Quanzhou Institute of
Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences)
77 Process monitoring based on orthogonal locality preserving projection
Jingxin Zhang, Songhang Chen and Hao Chen (Quanzhou Institute of Equipment
Manufacturing, Haixi Institutes, Chinese Academy of Science)
28 Work-related musculoskeletal disorders and risk factors: a cross-sectional study
among Chinese flight baggage handlers
Jingjing Wang, Xianning Jin, Yang Cao, Lihua He (Peking University), Zhongxu Wang
and Wei Zhang (National Institute of Occupational Health and Poison Control)
73 Developing a Virtue Reality Game User Experience Test Method Based on EEG
Signal
Guanhua Hou, Hua Dong and Yang Yang (Tongji University)
17 Construction on six-hierarchy model of human factors analysis and its application
Bing Wu, Weiwei Chang and Xiaolin Ma (China University of Mining and Technology-
Beijing)
49 Evaluate fatigue and comfort of blue light influence under general condition and
low blue light condition
Yunhong Zhang, Lei Feng (China National Institute of Standardization) and Hong Chen
(Center of College Students' Mental Health Guidance,Xi'an University of Architecture &
Technology)
57 Construction of Safety Competency Evaluation System for High - risk Industry
Linhui Sun, Yimeng Zhang, Kai Cui, Ying Lv, Rongjie Peng, Xiaofang Yuan and Kuang
Wu (The School of Management,Xi’an University of Science and Technology)
70 Research on the Improvement of CNC Machine Tool HMI Based on Eye Tracking
Experiment
Zhang Xinmin, Wang Xiaoting and Wang Shiya (Shenyang University of Technology)
60 Empirical Research on coal miners’ Operating Movement Output Capacity and
Accident Proneness
Lin-Hui Sun (Xi’an University of Science and Technology;The State Key Laboratory for
Manufacturing Systems), Ying Lv (Xi’an University of Science and Technology), Kai
Cui (Xi`an,University of Posts & Telecommunications), Yi-Meng Zhang (Xi’an
University of Science and Technology), Rong-Jie Peng (Xi’an Jiaotong University), Wei
Zhang, An-Bo Wu and Kang Shang (Xi’an University of Science and Technology)
164 SEMG-Based Research of Upper Body Muscle Fatigue During Manual Material
Handling
Na Yu (Nanjing Forestry University)
113 An Effective Algorithm for Detecting and Eliminating Wi-Fi Fingerprint Outliers
Youxiong Wu, Zhaohui Li (Beijing University of Posts and Telecommunications) and
Haiyong Luo (Institute of Computing Technology, Chinese Academy of Sciences)
152 A high efficiency twin coil ferrite rod antenna for RF energy harvesting in AM
band
36
Shihua Cao and Jianqing Li (Macau University of Science and Technology)
104 Systems Engineering in Smart Manufacturing Development
Fengming Cui, Lefei Li and Chen Wang (Tsinghua University)
10 Self-Organizing Manufacturing: Current status and Prospect for Industry 4.0
Jianming Zhang, Xifan Yao, Jiajun Zhou (South China University of Technology),
Jingfa Jiang and Xinzhun Chen (Genox Recycling Tech Co., Ltd)
19 From Intelligent Manufacturing to Smart Manufacturing for Industry 4.0 Driven
by Next Generation Artificial Intelligence and Further On
Xifan Yao, Jiajun Zhou, Jiangming Zhang (South China University of Technology) and
Claudio Boër (University of Applied Sciences and Arts of Southern Switzerland)
35 Fault Diagnosis Based on improved Deep Belief Network
Tianqi Yang and Shuangxi Huang (Tsinghua University)
51 An example for industry 4.0: Design and implementation of a mobile app for
industrial surveillance based on cloud
Xing Zhou, Hairong Yan, Jiawen Wang and Yongqun Wang (BEIJING UNIVERSITY
OF TECHNOLOGY)
52 Application of SVR Optimized by Modified Simulated Annealing (MSA-SVR) Air
Conditioning Load Prediction Model
Yuxin Tao, Hairong Yan, Hang Gao and Yuying Sun (Beijing University of
Technology)
54 Study on Clustering Methodology-based Garment Size Filing Technology
Huang Zhenzhen (Minjiang University)
20 Design and implementation of a smart temperature-predicting system based on
Industrial IoT
Hairong Yan, Yongqun Wang and Siyu Jiang (Beijing University of Technology)
37