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The Joint International Conference of ISCIIA2018 and ITCA2018 will be held in Tengzhou, Shandong, P. R. China. The ISCIIA-ITCA2018 is an international conference that provides a forum for scientists and engineers over the world to present their own theoretical results and techniques in the field of computational intelligence, information technology, and industrial/control applications. The conference proceedings have been indexed in EI since 2004. Selected excellent papers will be recommended for publication in a special issue in JACIII (Journal of Advanced Computational Intelligence and Intelligent Informatics, ESCI/SCOPUS/EI indexed) after revision. Taking this opportunity, we sincerely welcome our colleagues worldwide to join us for this conference.Technical topics of the conference include but are not limited to: 

Control Theory and Applications                         Data Mining
Network-Based Control                                       Intelligent Control
Data Fusion                                                         Fuzzy Systems
Fuzzy and Neural Systems                                 Neural Networks
Human-Computer Interface                                Evolutionary Computing
Multi-Agent Systems                                           Learning Systems
Network Security                                                 Mechatronics
Intelligent Transportation Systems                      Motion Control
Robotics                                                              Signal and Image Processing

 

Organizers:

Zaozhuang Vocational College of Science & Technology (ZVCST)

Beijing Institute of Technology (BIT),

Tokyo University of Technology (TUT)

China University of Geosciences (CUG)

 

Co-organizers:

Beijing Association of Automation (BAA)

Japan Society for the Promotion of Science (JSPS)

Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)

International Fuzzy Systems Association (IFSA)

IEEE Systems, Man, and Cybernetics Society (Beijing Capital Region Chapter)

IEEE-IES Technical Committee on Human Factors

 

Sponsors:

Fuji Technology Press Ltd

KTI Semiconductor Manufacturing Machine Co. Ltd

Call for Papers

Part 1: General Session ⇒  

Part 2: Organized Session ⇒

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PART 1: General Session

A PDF version of CFP can be downloaded by the link "docs/20180530022258197712.pdf" (Pls. click it).

The Joint International Conference of ISCIIA2018 and ITCA2018 is held in Tengzhou, Shandong, P. R. China.. The Main theme of the Conference is Advanced Technologies for Computational Intelligence and Industrial Applications.The conference is Ei indexed and excellent selected papers will be recommended to be included in the special issue of JACIII(Journal of Advance Computational Intelligence and Intelligent Informatics, ESCI/SCOPUS/EI indexed). Technical topics of the conference include but are not limited to:

Control Theory and Applications Data Mining
Network-Based Cnntrol Intelligent Control
Data Fusion Fuzzy Systems
Fuzzy and Neural Systems Neural Networks
Human-Computer Interface Evolutionary Computing
Multi-Agent Systems Learning Systems
Network Security Mechatronics
Intelligent Transportation Systems Motion Control
Robotics Signal and Image Processing

 

 

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PART 2: Call for Organized Session of ISCIIA-ITCA 2018

A Call for Organized Session of ISCIIA-ITCA 2018 can be downloaded by clicking the link"docs/20180704142153310552.pdf"(Pls. click it).

 

 

 

 

Paper Submission Deadline           ---------------   June 1, 2018        July 1, 2018    July 15, 2018 (No more extension!!)

Notification of Acceptance            ----------------  July 15, 2018         August 10, 2018 (extended)

Final Camera-Ready Paper Due    ----------------  Aug 20, 2018 (Please complete the registration before the final submission)

Conference Period                         ----------------  Nov 2-6, 2018

Honorary Chair

Kaoru Hirota (BIT, China; JSPS)

 

General Chairs                                                                  Advisory Board

Jie Chen (BIT)                                                                     Toshio Fukuda (Meijyo Univ., Japan)

Yaping Dai (BIT)                                                                 Min Wu (CUG, China)

Yasuhiro Ohyama (TUT)

Tongyun Hou (ZVCST)

 

Program Committee Chairs                                             Organized Committee Chairs

Hongbin Ma (BIT)                                                               Yehe Han (ZVCST)

Yasufumi Takama (TMU)                                                     Weihua Cao (CUG)

Zhihong Peng (BIT)                                                             Shinich Yoshida (KUT)

Jinhua She (TUT)

Zhentao Liu (CUG)

 

Publication/Publicity Chairs                                             Local Organizing Chairs

Bin Xin (BIT)                                                                        Jia Jia (ZVCST)

Donggyun Kim (BIT)                                                           Hongbo Wu (ZVCST)

 

Social Program Chairs                                                       General Affairs

Yuan Li (BIT)                                                                        Zhen Li (BIT)

Zhiyang Jia (BIT)                                                                  Jia Jia (ZVCST)

 

Registration Chairs

Zhuoyue Song (BIT)

Ru Lai (BIT)

Huifang Li (BIT)

C. Chen                   J. Chen                 L. Chen                 S. Chen                W. J. Chen              X. Chen                 E. Dadios     

Y. Dai                      F. Dong                  H. Dong                H. Fang                 Z. Feng                   K. Fujimoto            E. F. Fukushima 

T. Furuhashi           K.Galkowski           M. G. Gan             Z. Geng                 T. Hashimoto          Y. Hatakeyama      X. He                     

Y. He                       Y. Horiguchi           Y. Hoshino            N. Ikoma                A. M. Iliyasu           M. Inuiguchi           H. Ishibuchi           

H. Iyatomi              J. Kacprzyk            K. Kawamoto         S. Kawata             A. Kecskemethy    D. Kim                     S. Kobashi             

I. Kobayashi           L. T. Koczy            N. Kubota               K. Kurashige         R. Lai                     C. Li                       H. Li                       

X. Li                       Y. Li                        Z. Li                       X. Liao                   B. Liu                     G. Liu                     X. Liu                      

Z. Liu                     P. Lu                       Z. Luo                    H. Ma                    H. Masuta              Y. Matsuo               M. Moniwa             

Y. Nakagawa         Y. Nakanishi           K. Nitta                   H. Nobuhara         Y. Nojima               C. N. Nyirenda       T. Ohkubo             

K. Ohnishi             S. Ohno                  H. Ohtake              K. Okamoto           I. Ono                    F. Pan                    G. Park                 

W. Pedrycz           Q. Pan                    Z. Peng                  N. H. Phuong        A. Ralescu             D. Ralescu             X. Ren             

I. J. Rudas            H. Sakaniwa           H. Seki                    J. She                   D. W. Shi               A. Shibata              T. Shibata             

E. Shimokawara   Z. Y. Song              J. W. Spencer         W. Su                    J. Sun                    K. Tachibana          H. Takahashi         

T. Terano               K. Uehara              Y. Ueno                   G. Vachkov            J. Wang                L. Wang                 Q. Wang                

Y. Wang                K. Wong                 M. Wu                     Q. Wu                    Y. Xia                     B. Xin                     X. Xin                   

Y. Xiong                B. Xu                      L. Xu                       Y. Xu                      T. Yamaguchi        T. Yamanoi             T. Yamashita         

Y. Yamazaki          F. Yan                    J. Yi                         R. Yokoyama         K. Yoshida             S. Yoshida             T. Yoshikawa         

L. Yu                     C. Zhang               X. Zhao                    D. Zhao                 J. Zhou                  G. Zhu                   Q. Zhu                  

X. Zuo

 

Keynote Speech 1: Modeling Personal Values: Application to Recommender Systems

By Yasufumi Takama (Tokyo Metropolitan University)

 

Keynote Speech 2: Multi-Vehicle Air-Ground Cooperation in Complex Tasks

By Bin Xin (School of Automation, Beijing Institute of Technology)

 

Keynote Speech 3: Recent advances on stability analysis of time-delay systems via Lyapunov-Krasovskii functional

By Chuan-Ke Zhang (School of Automation, China University of Geosciences, Wuhan)

 

Invited Talk 1: State-of-the-Art on Multiple Target Tracking and Sensor Fusion based on Particle Filters

By Norikazu Ikoma (Nippon Institute of Technology)

 

Invited Talk 2: Teaching Evaluation Based on Deep Learning from Video and Audio Records in Classes

By Zhaohui Zhang (University of Science & Technology Beijing)

 

Invited Talk 3: Study on the Stabilization of Underactuated Mechanical Systems

By Ancai Zhang (School of Automation and Electrical Engineering, Linyi University)

 

Invited Talk 4: Brain decoding: Application of Intelligent Informatics to Neuroscience

By Shinichi Yoshida (Kochi University of Technology)

 

Invited Talk 5: Humanitarian Demining Robot Research at the Land Sea Air Mobile Robotics Laboratory

By Edwardo Fumihiko FUKUSHIMA (Tokyo University of Technology)

 

Invited Talk 6: Semi-parametric Adaptation, Learning and Intelligence --- Model-based & Model-free

By Hongbin Ma (Beijing Institute of Technology)

 

 

Keynote Speaker 1: Yasufumi Takama (Tokyo Metropolitan University)

Title: Modeling Personal Values: Application to Recommender Systems

 

Abstract: A recommender system is one of successful applications in the field of Web intelligence, and has been widely used in practice for providing users with information / items they might be of interest. While conventional recommender systems try to estimate user’s preference, recent studies have been focusing on other factors such as context, diversity, persuasiveness, and personalities. Among those factors, we have studied user models based on their personal values, and applied the proposed model to several recommender systems. This talk gives a brief introduction of recommender systems and explains how to extend conventional systems by introducing the proposed personal values-based modeling.

 

Bio: Yasufumi Takama received the B. S. Degree, M.S. Degree, and Dr. Eng. Degree from University of Tokyo in 1994, 1996, and 1999, respectively. He was a JSPS (Japan Society for the Promotion of Science) Research Fellow from 1997 to 1999. From 1999 to 2002 he was a Research Associate at Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology in Japan. From 2002 to 2005, he was an Associate Professor at Department of Electronic Systems and Engineering, Tokyo Metropolitan Institute of Technology, Tokyo, Japan. Since 2014, he has been a Professor at Faculty of System Design, Tokyo Metropolitan University, Tokyo, Japan. He also participated in PREST (Precursory Research for Embryonic Science and Technology), JST (Japan Science and Technology Corporation) from 2000 to 2003. His current research interest includes Web intelligence, information visualization, and data mining.

 

 

 

Keynote Speaker 2: Bin Xin (School of Automation, Beijing Institute of Technology)

Title: Multi-Vehicle Air-Ground Cooperation in Complex Tasks

 

Abstract: The virtues of unmanned aerial vehicles (UAV) and unmanned ground vehicles (UGV) can be integrated to accomplish various complex tasks such as forest fire fighting and search and rescue. This talk includes two parts. The first part outlines the motivations for studying the cooperative control of UAVs and UGVs, and introduces a taxonomy for classifying existing unmanned aerial and ground vehicles systems (UAGVSs), followed by a generalized optimization framework to allow the decision-making problems for different types of UAGVSs to be described in a unified way. The second part gives a typical example of UAGVS with UAV playing a messenger role to complete a class of complex tasks, named multi-point dynamic aggregation (MPDA). It will be shown how UAV and UGV can be integrated to perform complex tasks like MPDA in larger areas.

 

Bio: Dr. Bin Xin received his Bachelor’s degree and Ph.D. degree from the Beijing Institute of Technology in 2004 and 2012, respectively. Since 2015, he is an associate professor with the School of Automation, Beijing Institute of Technology. His research interests include unmanned vehicles, multi-agent systems, optimization methods, and computational intelligence. He is the author/coauthor of three books and over 70 papers. He is an awardee of the 18th Guan Zhao-Zhi Award (2012). His Ph.D. dissertation was evaluated as the Beijing Outstanding Ph.D. dissertation (2013) and the Chinese Automation Association Outstanding Ph.D. dissertation (2014). He serves as an Associate Editor for the Journal of Advanced Computational Intelligence and Intelligent Informatics and the journal Unmanned Systems. He is also a Guest Editor for the Journal of System Sciences & Complexity and the journal Advances in Fuzzy Systems. 

 

 

 

Keynote Speaker 3: Chuan-Ke Zhang (School of Automation, China University of Geosciences, Wuhan)

Title: Recent advances on stability analysis of time-delay systems via Lyapunov-Krasovskii functional method

 

Abstract: With the rapid development of networked control systems, a large number of practical control systems can be represented as time-delay systems. The existence of the time delay usually leads to deteriorated performance and even instability. The stability analysis of such time-delay systems has been a hot spot in the field of control theory and lots of results have been reported. This talk aims to provide an overview of recent advances on stability analysis of time-delay systems via the Lyapunov-Krasovskii functional (LKF) method, including the construction of the LKF, the estimation of the integral terms, and the treatment of time-varying delays.

 

BIO: Chuan-Ke Zhang received the B.Sc. degree in automation from Central South University, China, in 2007, and Ph.D. degree in control science and engineering from Central South University, China, in 2013. He was a research assistant in the Department of Electrical Engineering and Electronics, The University of Liverpool, U.K. from 2011 to 2013, and a research associate in Department of Electrical Engineering and Electronics, The University of Liverpool, U.K. from 2014 to 2016. In 2014, He jointed School of Automation, China University of Geosciences, Wuhan, China, where he currently is an associate professor.  His current research interests are time-delay systems, robust control, and power system stability and control. He has published more than 40 papers on these fields.

 

 

 

 

 

Invited Speaker 1: Norikazu Ikoma (Nippon Institute of Technology)

Title: State-of-the-Art on Multiple Target Tracking and Sensor Fusion based on Particle Filters

 

Abstract: Multiple objects in real scene such as vehicles in urban traffic, people in the street, and animals in wild nature are typical examples of the targets to be tracked by automated system based on digital computer technology. In order to track of such targets, recognition of newly appearing target is important and necessary, but it is no sufficient for achieving target tracking in real sense. The reason of this is that the task of tracking requires association between two sets of the targets in adjacent time, while recognition in static scene just provides detection result of the targets in a single time instance. In addition, recognition inherently performs under certain error rates of false alarm and missing of actually existing target. Furthermore, multi-modal sensors such as vision, laser, radar, sonar, and so on, are available for obtaining information of the real scene, then we need to fuse information from the sensors. Thus, it is necessary for achieving such tracking task efficiently to tackle with the association problem under certain sensor errors and the information fusion problem. State space modeling in set formulation is one promising basis to achieve this with its first-order-moment formal solution know as PHD (Probability Hypothesis Density) filter and its further extension known as LMB (Labelled Multiple Bernoulli) filter. Algorithmic solution to these filters can be obtained by several manners, including particle approximation of target state called SMC (Sequential Monte Carlo) implementation. Other elaborations are, say, cardinality aware, Gaussian mixture, and their combination. This invited talk overviews the above scenario with mathematical forms in order to facilitate essential understanding on the key issues.

 

Bio: Norikazu Ikoma has received Ph.D. degree in Statistical Science from The Graduate University for Advanced Studies, Japan, in March 1995. From April 1995 to March 1998, he worked as Research Associate in Faculty of Information Sciences, Hiroshima City University. From April 1998 to August 2003, he worked as Assistant Professor in Faculty of Engineering, Kyushu Institute of Technology. During his main job, he has visited Signal Processing Group in Enginerring Department at University of Cambridge, UK, from July 2002 to April 2003. From September 2003, he has worked as Associate Professor in Faculty of Engineering, Kyushu Institute of Technology. From April 2016, he works as Professor in Faculty of Engineering, Nippon Institute of Technology, Saitama, Japan.

 

 

 

Invited Speaker 2:  Zhaohui Zhang (University of Science & Technology Beijing)

Title: Teaching Evaluation Based on Deep Learning from Video and Audio Records in Classes

 

Abstract: Generally a green hand instructor couldn’t master a teaching class very well. He maybe faces to students just in little time by his ashamed feeling, lacks body language and movement around because of self-doubt, speaks monotonically as his less communication skills. In this paper, an information system is introduced to evaluate instructor’s teaching behavoir by video and audio records in classes. Real time face detection is carried out through convolution neural networks and deep learning. Some corresponding recommendations are provided to the instructor to improve his skills.

 

Bio: Zhaohui Zhang is a professor with automation and electrical engineering school, University of Science and Technology Beijing. He received a B.E. in automation from China Petroleum University in 1985, M.E. in automation from University of Chongqing in 1988, and Ph.D. in instrumentation science from Southeast University in 1999. His current research interests include artificial intelligent algorithms for mesurements, and innovation of instrument structures.

 

 

 

Invited Speaker 3: Ancai Zhang (School of Automation and Electrical Engineering, Linyi University)

Title: Study on the Stabilization of Underactuated Mechanical Systems

 

Abstract: An underactuated mechanical system has more degrees of freedom (DOFs) than the amount of mounted actuators. The advantages of this type of system over the fully-actuated type are that it is lighter, less power-hungry, and more flexible. So, it is meaningful to study the control of this kind of system. However, the reduction of actuators makes an underactuated system be subject to holonomic or nonholonomic constraints. And the system usually has complex dynamics and is not strict feedback linearizable. All these make the motion control for such an underactuated system a challenging problem. In this talk, I will mainly review our recent research results on the stabilization of the underactuated system. And some strategies will be introduced to solve the stabilizing control problem.

 

Bio: Ancai Zhang received the B.S. degree in mathematics from Linyi University, Shandong, China, in 2005, and received the M.S. degree in applied mathematics, the Ph.D. degree in control science and engineering all from Central South University, Hunan, China, in 2008 and 2012, respectively. Since December 2012, he has been with Linyi University, where he is currently a Professor in the School of Automation and Electrical Engineering. He carried out his study in Tokyo University of Technology, Tokyo, Japan, with the support of the scholarship of Chinese Government from October 2009 to October 2011, and the postdoctoral fellowship of Japan Society for the Promotion of Science (JSPS) from October 2017 to October 2018. He has published more than twenty papers in the international journals and conferences, e.g., Automatica, Nonlinear Dynamics, International Journal of Robust and Control, and IET Control Theory & Theory. He won the Natural Science Academic Innovation Award of Shandong Province in 2016, and the Science and Technology Award of University in Shandong Province in 2017. His research interests include underactuated mechanical systems, nonlinear systems, and robotics.

 

 

 

Invited Speaker 4: Shinichi Yoshida (Kochi University of Technology)

Title: Brain decoding: Application of Intelligent Informatics to Neuroscience

 

Abstract: Understanding human is one of the most attractive research topics, particularly in computational intelligence field.  Neuroimaging devices, such as EEG, NIRS, MRI, are used to retrieve information directly from human brain.  Recently, in neuroscience, machine learning is introduced to estimate human internal state from neural signal obtained from neuroimaging device.  Brain decoding is a major application of machine learning in neuroscience and it predict human mind from fMRI signals. In this talk we introduce a development of brain decoding and recent achievement of this area.  Secondly we show our approach to brain decoding and engineering applications to image retrieval.  Furthermore we refer to development of MRI-based neuroimaging techniques such as tractography, functional connectivity, and so on.  Finally we mention the role and importance of computational intelligence techniques to neuroscience.

 

Bio: Shinichi Yoshida received the B. E. degree from Chuo University, Japan in 1996, and M.E. and Dr. Eng. degree from Tokyo Institute of Technology in 1998, 2001, respectively.  He was an assistant professor of Tokyo Institute of Technology from 2001 to 2004, Aoyama Gakuin University from 2004 to 2007, and Kochi University of Technology from 2007 to 2013.  Currently he is an associate professor of Kochi University of Technology from 2013.  He also works for IEEE as a secretary of IEEE Shikoku section and an award committee member of IEEE Japan Council.  He is interested in applications of intelligent image processing for medical imaging such as MRI.

 

 

 

Invited Speaker 5: Edwardo Fumihiko FUKUSHIMA (Tokyo University of Technology)

Title: Humanitarian Demining Robot Research at the Land Sea Air Mobile Robotics Laboratory

 

Abstract: Research and development of mobile robots for maintaining a sustainable society is still demanded in many areas. The main research topics in our lab., includes robotic systems for environmental monitoring and resource investigation work, robots for disaster prevention, rescue, infrastructure maintenance, agriculture, medical and welfare supporting robots and other service robots. In order to realize a truly useful robot in each field, there are many unresolved technical and academic subjects, so there are still need to make many advanced innovations. In this talk, I will present many examples of robots, in particular I will cover in detail, the development of a humanitarian demining robot which was tested in many mine affected countries.

 

Bio: Edwardo Fumihiko FUKUSHIMA received his B. Sc. in Electrical Engineering, Federal Center of Technological Education of Paraná, Brazil in 1989. Dr. Fukushima entered Tokyo Institute of Technology, Japan, as a research student at Dept. of Mechanical Engineering Science in 1990; and received his M.S. and Ph.D. degrees in in Mechanical Engineering Science, Tokyo Institute of Technology in 1991 and 1993, respectively. He jointed Tokyo Institute of Technology as Assistant Professor in 1994, Associate Professor in 2006. Since 2014, he has been Professor at Tokyo University of Technology. He was Visiting Researcher at Stanford University, USA for five months in 2001, and Visiting Scientist at Artificial Intelligent Laboratory, University of Zurich for one month in 2004. Dr. Fukushima received the 5th Robotics Society of Japan Award for Applied Technology in 2000; the System Integration Award for Technological Achievement 2009 from the Society of Instrument and Control Engineers, Japan, in 2009; the Best Paper Award at the 3rd International Conference on Underwater System Technology (USYS'10) in 2010; and the Best Paper Award, 2014 IEEE/SICE International Symposium on System Integration (SII2014) in 2014. He is member of the Robotics Society of Japan (RSJ), the Japan Society of Mechanical Engineers (JSME), the Society of Instrument and Control Engineers (SICE), and the Institute of Electrical and Electronics Engineers (IEEE).

 

 

 

Invited Speaker 6: Hongbin Ma (Beijing Institute of Technology)

Title: Semi-parametric Adaptation, Learning and Intelligence --- Model-based & Model-free

 

Abstract: Adaptation, learning and intelligence are three different yet highly connected concepts. To understand these concepts, there exist model-based and model-free approaches. This lecture will reveal how to intrinsically extend traditional adaptive estimation and control by merging ideas from machine learning and artificial intelligence with the innovative semi-parametric representation of dynamic input-output mapping. This new approach looks like an artificial mathematical model, but in fact it exhibits data-driven features of model-free approaches. We believe such an attempt is one successful adventure of various subjects such as cybernetics, artificial intelligence, computational geometry and computational intelligence.

 

Bio: Dr Hongbin Ma has been a Professor at the School of Automation, Beijing Institute of Technology since he joined Beijing Institute of Technology in 2009. He received his bachelor degree from Zhengzhou University in 2001 and doctoral degree from the Academy of Mathematics and Systems Science, Chinese Academy of Sciences in 2006. He joined Bell Labs Research Center at Beijing in March of 2006 and later joined Temasek Laboratories, National University of Singapore in August 2006 as a Research Scientist. His research focuses on adaptation, learning and recognition, especially adaptive estimation and control, as well as their applications in robots, smart cars, and UAVs. He is also a member of IEEE, SIAM, CSIAM, ACM and Automation Society of China. Dr. Ma is the principle investigator of several scientific projects supported by National Natural Science Foundation (NSFC), the programme of New Century Excellent Talents in University by Ministry of Education, the programme of Beijing Outstanding Talents Project, and so on. He also won several awards, such as Wu Wenjun Artificial Intelligence Award, Outstanding Research Work Award, ICIRA Recognition Award, ICMA best paper award, etc. Dr. Ma has published more than 100 academic papers in reputable journals or conferences. And under his supervision, a dozen of students have performed well in scientific research, innovation contests, and are establishing themselves.

All manuscripts must be submitted electronically in PDF format before the deadline.  A complete paper should be submitted via https://conf.fujipress.com/isciia-itca2018(available after May). Selected papers will also be published in the special issue of JACIII (currently scheduled in 2019 March issue).

 

Submitted papers will be carefully evaluated based on originality, significance, technical soundness, presentation and clarity of exposition. Accepted papers will be given guidelines in preparing and submitting the final manuscript(s) together with the notification of acceptance.

 

Papers must be strictly prepared using the ISCIIA-ITCA 2018 paper templates. >>>>> Links: WORD format,TeX format

 

Page Limit: The initial version of each paper cannot exceed 8 pages. 

 

Review: ISCIIA-ITCA 2018 uses single-blind review process (i.e., author(s) cannot see the reviewers). So please feel free to include the author names in the submitted papers.

 

Formatting Guideline

Important Details for Final Camera-Ready Paper Preparation

Papers must be prepared at the high level of quality for inclusion in the conference proceedings. All papers must be written in standard English and prepared in compliance with the paper formatting template. The following details on these factors should be carefully considered in preparation of papers.The maximum file size is 5 MB.

► Papers must be prepared using an ISCIIA-ITCA 2018 formatting template:
Download the updated ISCIIA-ITCA 2018 formatting templates. >>>>>> Links:  WORD format,TeX format

 

► All authors should revisit the Microsoft Word template to ensure that important paper preparation instructions and conventions are followed.

 

►  Page Limit: The camera-ready version of each accepted paper is also up to 8 pages in total, but each page in excess of 6 will incur an extra charge.

Manuscripts should be on A4 sized paper (210 mm x 297 mm), in two-column format. All figures and tables should be clearly visible.


Language: The official language for the conference is English. Less than satisfactory English usage may form the sole basis for rejection of a paper and omission from the conference proceedings. 

 

We need you to provide a complete paper and an electronic version of the copyright transfer form.Copyright transfer form can be downloaded by the link"docs/20180427030013062189.pdf"(Pls.click it)


 

 

Please complete the registration form and send it to lirongli@bit.edu.cn  before August 25,2018.

The registration form can be downloaded by the link ''docs/20180803091250147916.docx''  (pls. click on the link to download it!).  If you can not download the registration form, please retry by changing your browser to others e.g., from MS IE to Firefox or MS Edge.

Registration Payment:

For Chinese

For Chinese participants, please transfer the registration fee to the following account; please also pay special attention to the subsequent important reminder notice:

账户信息:

单位名称

纳税人识别号

北京理工大学

12100000400009127B

单位开户行及账号

中国工商银行北京紫竹院支行   0200007609014435495

开户行联行号

预算代码

上级部门

102100000763

124202

工业和信息化部

单位地址

单位电话

北京市海淀区中关村南大街5号

010-68914618

 

特别提醒:

1. 请务必在汇款或转账时填写附言,格式为:isciia-itca2018 +文章编号+作者姓名(中文)

2. 作者将汇款/转账回执单扫描件、付款人手机号、填写北京理工大学增值税发票开具信息确认表并在甲方一栏签字盖章,扫描件(表格请在会议网站“Registration”条目内下载)、营业执照复印本扫描件发送至邮箱lirongli@bit.edu.cn;邮件标题格式:文章编号+回执信息;

3. 请在转账/汇款时留出银行转账时间,以保证在2018年8月25号前转账汇款到账;

 

For Japanese
Since it may bring some difficulties to transfer registration fee from Japan to Beijing by using international bank transfer, we would like to recommend participants living in Japan to pay the registration fee (in Japanese yen) to the following account

    みずほ銀行 大岡山支店(支店番号145)
 普通口座 1825115
    名義  ヒロタケンキュウシツダイヒョウヒロタカオル

Please note that

 1) Money transfer charge should be paid by participants,

 2) Remitter's name should be the participants name (in the case if other name is used, please inform the name and the date to conference secretary by e-mail).

 

For Other Foreigners

If you can attend the conference ISCIIA-ITCA2018 during Nov 2-6, 2018 at Tengzhou(滕州), China, you can pay by Chinese money cash only (no credit card service) on site.

 

If you have any further questions about the registration and payment, please contact Miss Rongli Li  (Email: lirongli@bit.edu.cn ; Office Tel.: 86-10-68915616) .

 

 


Binjiang International Hotel, Tengzhou, Shandong, China(滕州滨江国际大酒店,中国山东)

    

 

Lecture Hall:

     

 

 

 

Conference Hall:

     

 

     

 

 


If you are required to provide an invitation letter or need our assistance during VISA applications, do not hesitate to contact us.

Contact: ISCIIA2018&ITCA2018 secretariat, Miss Rongli Li <lirongli@bit.edu.cn>

Rooms:

Deluxe Single Room:428RMB/night (1 breakfast included)

Deluxe Standard Room:428RMB/night (1 breakfast included)

Deluxe Suite:868RMB/night (2 breakfast included)

 

Executive Single Room:528RMB/night (1 breakfast included)

Executive Standard Room:528RMB/night (1 breakfast included)

Executive Suite:968RMB/night (2 breakfast included)

 

The difference between deluxe rooms and executive rooms:

deluxe rooms:10-17 floors

executive rooms:18-22 floors

Room type is basically the same. Executive rooms contain afternoon tea. Executive rooms toiletries are of better quality.

 

Photos:

Single Rooms:

     

 

Standard Rooms:

     

 

 

 

Suites:

     

 

     

 

Dining:

 

 

 

 

We will show you how to travel to the conference site: Binjiang International Hotel, Tengzhou, Shandong, China(滕州滨江国际大酒店,中国山东),mainly for foreign participants.

 

Step1, Arrive at the Beijing Capital International Airport(北京首都国际机场)

Step2, Take the Subway from Beijing Capital International Airport(北京首都国际机场) T2/T3 to Beijing South Railway Station also called Beijingnan Railway Station (北京南站), (need xx RMB Cash)

Routine: Take the Beijing Subway Airport Express(北京地铁机场线),get off at Dongzhimen Station(东直门),transfer to Subway Line 2(地铁2号线),then get off at Xuanwumen Station(宣武门),transfer to Subway Line 4(地铁4号线),finally get off at the Beijing South Railway Station also called Beijingnan Station(北京南站)

the detail information of taking the subway will be shown in the last page (now under the construction).

Step 3, Take the High-speed Rail from Beijingnan Railway Station(北京南站) to Tengzhou East Railway Station(滕州东站).

Go to the Manual Ticket Window(售票窗口) of the Ticket Office Box(售票厅) (please follow the subway exit instructions) to purchase the ticket by using your original passport, then go to the waiting hall(候车厅) and find the Gate(检票口) written in the top right corner of your ticket, wait until the gate open and get on. And your seat will be written on the right in the middle of your ticket like XX车(car number) XX座. (seat number)

 

Notice: How to book the Ticket.

Because the High-speed ticket is limited, you must book the ticket in advance.

1, If you are the person who is the first time to come to China or has booked/re-booked/refounded the ticket on the websit which is the China Railway Customer Service Centre and usually named 12306 within 4 times, you can send your passport scan to me (Ms Lee, conference secretary and secretary to Prof. Hirota, Japanese language availabel) and I can book a ticket for you from Beijingnan Railway station (北京南站) to Tengzhoudong Railway Station(滕州东站) in the website. It’s possible to re-book the ticket on the website without your original passport if your schedule changes (e.g., because of the delay of your airplane). But if this booking happens to be your forth time to booked/re-booked/refounded the ticket on the websit, it can be rebooked or refounded unless using your original passport if your schedule changes.

2, If you are the person who has booked/re-booked/refounded the ticket on the websit which is the China Railway Customer Service Centre and usually named 12306 more than 4 times, you can send me your scanned passport and I can book a ticket by taking the printed passport to the Manual Ticket Window. But it can be rebooked or refounded unless using your original passport if your schedule changes.

3, Here is the 12306 website homepage:

http://www.12306.cn/mormhweb/

If possible, you can also book a ticket from your side.

 

Step 4, After getting off the Tengzhou East Railway Station(滕州东站), you can take a taxi (about XX RMB Cash also needed) or we may arrange a bus waiting there (currently under investigation) to get to the conference hotel :Binjiang International Hotel, Tengzhou, Shandong, China(滕州滨江国际大酒店,中国山东), address: 枣庄市滕州市解放东路169号

 

Further More: Arranging a 30-seat bus waiting at the Beijing Capital International Airport(北京首都国际机场) (in the afternoon Nov.2 only) to get to the conference hotel which is Binjiang International Hotel (滕州滨江国际大酒店,中国山东) directly is now under consideration. Please wait for the latest travel information.

 

 

 

Contact: Miss Rongli Li  (Email: lirongli@bit.edu.cn ; Office Tel.: 86-10-68915616)

Organizers & Co-organizers



Co-sponsors