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    ICICA 2021 - 2021 International Conference on Information, Control and Automation(ICICA 2021)

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    Website www.ic-ica.net | Want to Edit it Edit Freely

    Category EI Compendex;Scopus

    Deadline: October 07, 2021 | Date: November 05, 2021-November 07, 2021

    Venue/Country: Zhuhai, China

    Updated: 2021-09-11 21:27:10 (GMT+9)

    Call For Papers - CFP

    Important Information:

    Website URL: http://www.ic-ica.net/

    Start Date / End Date: November 5-7, 2021

    Location: Zhuhai, China

    Notification time: 1-2 weeks after submission

    Submission Deadline : October 7, 2021(Second round deadline)

    Retrieved by: EI, Scopus

    About the conference:

    2021 International Conference on Information, Control and Automation(ICICA 2021)will be held on November 5-7, 2021 in Zhuhai, China. ICICA 2021 is to bring together innovative academics and industrial experts in the field of Information, Control and Automation to a common forum. The primary goal of the conference is to promote research and developmental activities in Information, Control and Automation and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in Information, Control and Automation and related areas.

    We warmly welcome experts, scholars, scientific and technological workers, and graduate students in the field of Information, Control and Automation at home and abroad to submit papers and participate in the conference.

    Conference Chairman:

    Prof. Jiang Zhu, Tokyo Institute of Technology

    Prof. David BASSIR, Université Bourgogne Franche-Comté,Franche

    Speaker:

    Prof.ALEX NOEL JOSEPH RAJ(Shantou University)

    experience:ALEX NOEL JOSEPH RAJ received the B.E. degree in Electrical Engineering from Madras University, India,in 2001, the M.E. degree in Applied Electronics from Anna University in 2005, and the Ph.D. degree in Engineering from the University of Warwick, Coventry, UK in 2009. From October 2009 to September 2011, he was with Valeport Ltd Totnes, UK as Design Engineer. From March 2013 to March 2017 he was with the Department of Embedded Technology, School of Electronics Engineering, VIT University, Vellore, India as a Professor. Since March 2017, he is with Department of Electronic Engineering, College of Engineering, Shantou University, China. His research interests include Machine Learning, Signal and Image Processing and FPGA implementations. He is specialised in Image processing, with Industrial and Teaching experience in Machine Learning, Deep Networks Signal and Medical Image Processing, FPGA system design, Matlab, Simulink, Machine Vision Systems, SONAR systems and Embedded Systems.

    Prof.Canhao Xu(BNU-HKBU United International College)

    Speech Title: Hardware/Software Codesign of Efficient Deep Learning Algorithms

    Abstract: The efficiency of machine learning and deep learning algorithms is more and more important nowadays. Improving accuracy without considering model efficiency is undesirable. Deep learning algorithms on embedded devices, such as educational devices and/or educational robots, often have demanding real-time requirements. For example, object recognition systems based on cameras usually require a latency of hundreds of milliseconds to respond to events in a timely manner. Commercial embedded devices sometimes offload the machine learning algorithms to the cloud. However, network connection quality and speed are becoming another challenging constraint for these devices. Another choice is to implement a high efficient deep learning algorithm on the embedded device, which isn’t affected by the internet connection. Enabling deep learning on the embedded device is difficult. The main characteristic of embedded devices is low power, which usually means the limited computational capability of the processor and limited size of the memory. From the perspective of software/hardware codesign, in order to speed up the processing speed of deep learning and image recognition algorithms, optimizations at both the algorithmic and hardware-level are required.

    Dr. Guanglei Wu(Dalian University of Technology)

    experience:Dr. Guanglei Wu received his PhD in mechanical engineering from Aalborg University, Denmark, 2013. He was granted an industrial project by Innovation Fund Denmark and worked as a postdoc fellow in Aalborg University from 2014 to 2016. He was a visiting scholar in the Research Institute in Communications and Cybernetics of Nantes (IRCCyN, the former LS2N) in 2012, and a visiting .scholar in Aarhus University of Technology in 2020, China. Currently, he is an associate professor in Dalian University of Technology. His research interests include robotic technology and their applications. He has published a monograph by Springer and over 70 research papers, he was the awardee of the Asian MMS 2016 & CCMMS 2016, and he has been internationally recognized. He is the referee of a number of international journals and conferences in the fields of mechanisms and robots.

    Publication:

    All accepted full papers will be published in conference proceedings and will be submitted to EI Compendex / Scopus for indexing.

    Note: All submitted articles should report original, previously unpublished research results, experimental or theoretical. Articles submitted to the conference should meet these criteria and must not be under consideration for publication elsewhere. We firmly believe that ethical conduct is the most essential virtual of any academic. Hence any act of plagiarism is a totally unacceptable academic misconduct and cannot be tolerated.

    Call for paper:

    Topics of interest for submission include, but are not limited to:

    Information: ---Control:---Automation:

    Numerical analysis

    Scientific computing

    Database management system

    Evolutionary computation

    Information theory

    Logic programming

    Machine learning

    Natural language processing

    Software engineering

    Digital Signal Processing (DSP)

    Advanced adaptive signal processing

    Intelligent control system and its optimization

    Genetic algorithm (ga)

    Fuzzy control

    Decision support system

    Application of machine learning in control applications

    Knowledge based system application

    Hybrid learning system

    Distributed control system

    Evolutionary computing and control

    ---Electrical Machines and Appliances

    System identification theory

    Intelligent optimization theory

    Research on networked systems

    Research on modern integrated manufacturing system

    Smart home technology research

    Research on modern detection technology

    Process industrial fault diagnosis and prediction

    Submission:

    Submission Methods

    1.The submitted papers must not be under consideration elsewhere.

    2.Please send the full paper(word+pdf) to SUBMISSION SYSTEM

    3.Please submit the full paper, if presentation and publication are both needed.

    4.Please submit the abstract only, if you just want to make presentations.

    5.Templates Downlow: Templates

    6.Should you have any questions, or you need any materials in English, please contact us at icica_contactat163.com

    Note:

    1)Both Abstract and Full Paper are welcomed. The author can make an oral presentation after the Abstract is accepted and the payment is finished.

    2)All submitted articles should report original, previously unpublished research results, experimental or theoretical. Articles submitted to the conference should meet these criteria and must not be under consideration for publication elsewhere. We firmly believe that ethical conduct is the most essential virtual of any academic. Hence any act of plagiarism is a totally unacceptable academic misconduct and cannot be tolerated.

    Registration:

    For the publication on conference proceedings:

    Item---Registration fee (By RMB)---Registration fee (By US Dollar)

    Regular Registration for Paper---3200RMB/per paper (4-6 pages)---500 USD/per paper (4 -6pages)

    Extra Pages (Begin at Page 7)---300RMB/per extra page---50 USD/ per extra page

    Attendees without Submission---1200RMB/per person---180 USD / per person

    Attendees without Submission (Groups)---1000RMB/per person(≥ 3 people)---150 USD / per person(≥ 3 person)

    Details of the attending registration

    Join as Presenter: If you are interested in giving presentation on conference, without publishing your paper in the proceeding, you can choose to attend ICICA 2021 as a Presenter. As presenter, you need to submit the abstract and title of your presentation before register. For further information, please contact us at:icica_contactat163.com

    Join as Listener: ICICA 2021 is an unmissable conference. It is a good chance and an effective plateform to meet many renowned experts and reseachers in the filed of Latest academic research. You are welcome to attend this great event. You need to complete the registration as Listener before the registration dealdine.

    Schedule:

    November.5---13:00-17:00---Registration

    November.6---09:00-12:00---Speeches of Keynote Speakers

    12:00-14:00---Lunch

    14:00-17:30---Oral Presentations

    18:00-19:30---Banquet

    November.7---09:00-18:00---Academic Investigation

    Contact Us

    Conference Secretary: MS. Chen | 陈老师

    E-mail: icica_contactat163.com

    Tel: +86-18078840710 (Wechat)

    QQ: 2048654005


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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