刘富教授.jpgProf. Fu Liu, College of Communication Engineering, Jilin University, China (click)

Liu Fu, doctor of engineering, professor and doctoral supervisor of Jilin University, the sixth national chief science communication expert of the China Association for Science and Technology, the first batch of discipline leading professors of Jilin Province, the director of Chinese Association of Automation and Chinese Association for Artificial Intelligence, the chairman of Jilin Association of Automation and Jilin Association for Artificial Intelligence, the director of Pattern Recognition and Intelligent Robot Engineering Research Center of Jilin Province. He was the postdoctoral fellow of Hong Kong Polytechnic University and Harbin Institute of Technology. He used to be the vice president of College of Communication Engineering, Jilin University. He has won two first prizes of science and technology progress in Jilin Province.


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Prof. Jianxian Cai, Institute of Disaster Prevention/College of Electronic Science and Control Engineering, China (click)


Research Area: Control science and engineering, Artificial intelligence, Robotics

Keynote Speech

Title:Skinner operant conditioning model and robot bionic self-learning control

Abstract:A Fuzzy Skinner Operant Conditioning Automaton (FSOCA) is constructed based on Operant Conditioning Mechanism with Fuzzy Set theory. The main character of FSOCA automaton is: the fuzzed results of state by Gaussian function are used as fuzzy state sets; the fuzzy mapping rules of fuzzy-conditioning-operation replace the stochastic "conditioning-operant" mapping sets. So the FSOCA automaton can be used to describe, simulate and design various self-organization actions of a fuzzy uncertain system.


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A. Prof. Hui Liu, Kunming University of Science and Technology/ Department of automation, China (click)


Research Area: Digital image processing & its application

Keynote Speech:Endpoint carbon content and temperature prediction of BOF based on steelmaking process data selection

Title:Feature selection of BOF steelmaking process data based on denary salp swarm algorithm

Abstract:Basic oxygen furnace (BOF) steelmaking is a physical chemical process in which the endpoint carbon content and temperature are the essential indicators of the quality of molten steel. The operation of enormous number of features/attributes will lead to a number of problems in the model of BOF steeling endpoint prediction such as low accuracy, large time for model construction. To resolve these issues, feature selection is used to select significant features. In this paper, a novel denary version of the Salp swarm algorithm (SSA) is proposed and applied for features selection of BOF steelmaking process data in wrapper mode. SSA is one of the recently proposed algorithms, which is inspired by the swarming behavior of salps in deep water. The main idea of the proposed denary SSA is presetting the size of selected feature instead of the strategy of indeterminate number that will lead to different results over various runs. The proposed method is hired to select the optimal feature subsets maximizing the regression accuracy while minimizing the non-repeatability of the feature selection on BOF steelmaking process data. The performance of the proposed approach was compared with various state-of-the-art approaches in terms of different assessment criteria. Results show that the proposed denary SSA approach of feature selection provides the repeatable results and obtains higher regression accuracy.


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A. Prof. Dr. Bhagwan Das, Department of Electronic Engineering, Quaid-e-Awam University of Engineering, Science and Technology, Nawabshah, Sindh, Pakistan 


Research Area: Optical Signal Processing, Ultrascale FPGA

Keynote Speech

Title:Design and Development of Different Innovation Using Modern Multiprocessor System-on-Chip (MPSoCs)

Abstract:The rapid growth in the advancements of Field Programming Gate Arrays (FPGAs) technologies encountered nowadays. The shrinking of Chip size to 16nm and 20nm scaling from monolithic through 3D ICs combine new memory, and multi-processing SoC (MPSoC) technologies is delivering a generation ahead of value. There are various innovations and applications of Multiprocessor System-on-Chip (MPSoCs) are being developed for PLC/HMI/Motion Control, Motor Control, Machine & Computer Vision, Video Surveillance, Telecommunication, Security, Industrial Networking and many more. Among these Multiprocessor System-on-Chip (MPSoCs) the UltraScale architecture is staying a generation ahead with an Extra Node of Value.

In this talk, the key innovations and their design applications will be discussed for UltraScale (MPSoCs). The design applications and innovations using UltraScale technology for different themes related to Electronics and Computer Technology will be communicated with the audience. This talk will be of interest for the engineers, designers, scholars, academicians and technical persons working in the field of Electrical and Electronic Engineering, Computer Technology, Computer Networking, and related fields, to design their respective system using UltraScale technology.