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


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


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


10:40 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


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


10:30 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



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



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



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



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



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



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



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



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)

https://www.easychair.org/conferences/review_for_paper.cgi?a=15501259;paper=3286318

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)

final conference program · 2017. 9. 14. · mingming pan, china electric power research ... china...

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