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Keynote Speakers

>>Keynote Speakers

A.Prof.Wael Yafooz
Dean, Faculty computer and information technology 
Al Madianh International University, Malaysia

Title: Big Data Issues and Challenges
Abstract:  Nowadays, the immense use of computers in daily life leads to the creation of big data. Big data is a collection of vast data stored together and its term is used to describe the exponential growth of structured and unstructured data. Big data has three characteristics: volume, velocity, and variety. Such data can be found in many places, such as personal computers, universities archives, news archives, and textual documents. The most tremendous growth of these data can be found in social media. Social media technologies provide many different forms of presenting information, such as in magazines, Internet forums, weblogs, social blogs, micro-blogging, wikis, social networks, podcasts, photographs or pictures, videos, rating, and social bookmarking. Several attempts have been conducted to deal with massive data in social media, such as news extraction, aggregation, clustering, news topic detection and tracking, and social network analysis. Additional technologies, such as massive parallel-processing databases, distributed file systems, and cloud computing technologies, have been introduced to manage big data. However, these methods face the challenges of extracting, transformation, integrating, sorting, and manipulating data. The visualization of social media data is not feasible. However, realizing and understanding the events that occur in society is important to users. Therefore, in this talk will summarize the issues and challenges of big data.

A.Prof. Shadi M.S. Hilles
Head of Computer Science Department

Al Madianh International University, Malaysia

Title: Biometric image recognition, identification and verification systems
Abstract: The challenge problems within computer vision play a critical role for researcher.  And biometric image recognition, identification and verification systems are poised to become an important for technology control access to computer, discouraging illegal immigration, electronic commerce, improve existing security systems to protecting physical and digital possession.  Biometric image recognition is leading challenge problems, which is focused on fingerprint capture, face recognition, facial feature fusion, iris recognition and retina recognition. This talk will give overview of important different challenges of biometric image processing.

Prof.Hui Li(李晖教授/副院长)
School of Information Science and Technology, Hainan University, China(海南大学信息科学与技术学院)

Research Area: 5G communications, wireless communications, maritime communications and networks

Research Experience:
Dr. Hui Li received his Ph. D. degree of communication and information system in department of Electronics and Information Engineering from Harbin Institute of Technology (HIT) in Jan. 2006. He worked as a postdoc and an associate professor at HIT (Shenzhen campus) from 2006 to 2009. Then he worked as an associate professor in Zhejiang University from 2009 to 2014, during this period he worked as a visiting scholar in National Institute of Standards and Technology (NIST) of DOC at Gaithersburg, MD in USA from 2012 to 2013. He is currently working as a full professor at Hainan University. He is the vice dean of College of Information Science and technology of Hainan University. He is an/a author/coauthor of 3 books, and has published more 100 papers in wireless communication and networking. His researches include advanced wireless networks, space communication, maritime communications, etc.

Prof.Fushuan Wen(文福栓教授/所长)
Institute of Power Economics and Information, Zhejiang University,China(浙江大学电力经济与信息化研究所)

Research Area:
1.Power economics and electricity markets.
2.Power system investment, planning and operation optimization.
3.Smart grids and electric vehicles.
4.Power system alarm processing, fault diagnosis and system restoration.

Research Experience:
Dr. Fushuan Wen received his B.E. and M.E. degrees in electrical engineering from Tianjin University, Tianjin, China, in 1985 and 1988, respectively, and the Ph.D. degree from Zhejiang University, Hangzhou, China, in 1991.
He joined the faculty of Zhejiang University in 1991, and has been a full professor and the director of the Institute of Power Economics and Information since 1997, and the director of Zhejiang University-Insigma Joint Research Center for Smart Grids since 2010. He had been a university distinguished professor, the deputy dean of the School of Electrical Engineering and the director of the Institute of Power Economics and Electricity Markets in South China University of Technology, Guangzhou, China, from 2005 to 2009. Since May 2014, he has been a professor with Universiti Teknologi Brunei (Brunei University of Technology), Brunei, on leave from Zhejiang University. His research interests include power industry restructuring, power system alarm processing, fault diagnosis and restoration strategies, as well as smart grids and electric vehicles.
Prof. Wen is an editor of IEEE Transactions on Power Systems and IEEE Power Engineering Letters, an Associate Editor of the IET Generation, Transmission and Distribution, the Journal of Energy Engineering (ASCE), and the Journal of Modern Power Systems and Clean Energy (Springer).

Prof.Helei Wu(武和雷教授/总经理)
Information Engineering School  of Nanchang University,China(南昌大学信息工程学院)
Shenzhen Guobo Hi-Tech. Co., Ltd. CEO (深圳市国博高新技术有限公司)

Research Area:Artificial Intelligence Instrument & Pattern Recognition

Research experience:
2007-2008 University of Toronto Visiting Scholar,Postal doctor
2000-2004 Zhejiang University PHD student
1986-2018 Nanchang University lecturer  Associate professor Professor
It is mainly engaged in the research and development of artificial intelligent instruments, the application of control engineering technology, the research and teaching of pattern recognition and system optimization, and has published more than 60 papers in international and domestic academic journals. In the last five years, we have successfully developed "the power terminal network monitoring instrument, the verification device of the microcomputer relay tester, the program-controlled electronic load, the resistance box intelligent Tester, automatic verification device based on the image recognition technology for the digital meter ,"Internet-based charging Device, Electric vehicle charging Device, Internet-based traffic caution mobile robot and other products, economic benefits are obvious.

>>Oral Speakers

Senior Engineer.Tengbo Chen(陈腾博高级工程师)
Beijing Institute of Spacecraft System Engineering, China(北京空间飞行器总体设计部)

Title: A Calibration Method of Absolute Time Delay for Phased Array Antenna
Abstract: Caused by the degradation of active amplifier, the absolute time delay drift of phased array antenna is produced. In order to meet the requirement of precise ranging for navigation system, absolute time delay of phased array antenna need to be calibrated. Using group delay theory, combining Mid-field calculation technology, a calibration method of absolute time delay for phased array antenna based on time delay self-calibration channel is proposed. Analysis results indicate that the same effect on self-calibration channel and phased array antenna by time delay drift of active RF component. The absolute time delay of phased array antenna can be calibrated by time delay of self-calibration channel. The calculation and the measured results show that the proposed method is feasible and efficient.

Jie Wang(王杰)
Air Force Engineering University, China(空军工程大学)

Title: Fast Calculation Method of UCAV Maneuver Flight Control Based on RBF Network
Abstract: In order to solve the mathematical characterization and real-time generation of UCAV tactical maneuvers, a solution based on RBF network was proposed. Firstly, the characteristics and characterization methods of tactical maneuver trajectory are studied. An optimal control model of maneuvering trajectory is established and solved by genetic algorithm to generate sufficient neural network training samples. Secondly, based on the fitness function value and initial conditions as the input, and the key point control quantity of tactical maneuvers as the output, an air combat tactical maneuver trajectory rapid generation system based on RBF network was built. Finally, the RBF network is trained using the Recursive Least Squares (RLS) method. The training error was in the order of 10^-5, which indicated that this method could realize the nonlinear mapping relationship between the fitness value and the trajectory with high accuracy. And through this network could quickly generate high-stability, UCAV executable maneuver trajectory.

Yonglei Qi(齐永磊)
Air Force Engineering University, China(空军工程大学)

Title: An Improved  Iterative Frequency Domain Decision Feedback Equalization for STBC-SC-FDE
Abstract: This article proposes an improved iterative frequency domain decision feedback equalization(IBDFE) for the unique word(UW) based system of space-time block coded-single carrier frequency domain equalization(STBC-SC-FDE). Compared with the conventional IBDFE, this algorithm uses minimum mean square error(MMSE) equalization and a noise prediction module based on UW instead of the feedback equalization part, while maintain the feedforward equalization. It is shown from the simulation results that the improved IBDFE can achieve satisfactory performance without iterations.

Lun Li(李论)
North China Electric Power University(华北电力大学)

Title: Fault Location Method of Distribution Network Based on FTU Information Comparison and Search
Abstract: This paper analyses the characteristics of common methods of fault location using feeder terminal unit (FTU) in AC distribution network. When missing report and false alarm of FTU happen, the matrix method will be wrong, although the intelligent optimization algorithm has a certain fault tolerance rate, but it is easy to fall into local convergence and achieve more complexity. Aiming at the above problems, this paper presents a comparative information search method, obtained by using the distribution network topology of the FTU reservation information compared with the actual reporting information, fault calculation similarity of each area, so as to search the most similar regional information reporting information and reservation, which can effectively reduce the fault location time and improve the accuracy of fault location finally, the normal operation of the distribution network will come. It simulates the single fault of each region in a 5 power distribution system, and the introduction of conditional probability to achieve the missing report and false alarm of FTU, after checking a lot and systematically, it proves that the method is simple and effective, and has a high fault tolerance rate.

Pei Wang(王佩)

Northwestern Polytechnical University(西北工业大学)

Title: Research on TBCC-RR Reusable Vehicle Launch System Based on Electromagnetic Propulsion 
The traditional non-reusable launch vehicle is the main approach to complete space launch mission. But the
traditional rocket is inefficient and uneconomical, the more economical space launch approach has been studied in recent years. Two-Stage-To-Orbit(TSTO) reusable launch configuration which is combined Turbine Based Combined Cycle (TBCC) with reusable rocket (RR) is one of the main trends of current research. Based on TBCC-RR approach, a new design was proposed to improve the carrying capacity. In this design, the electromagnetic propulsion system (EMPS) was applied to increase the initial speed as the first stage engine, leaving the TBCC-RR to take care of the rest launch job. The overall concept of To-Orbit system was constructed and the electromagnetic launch system model was established. Then the mathematic model of EMPS-TBCC-RR-To-Orbit system is simulated and calculated. The result shows that EMPS is capable of accelerating the vehicle, which weighs hundreds of tons, up to one hundred meters per second, using EMPS can reduce the takeoff weight of the spacecraft and significantly enhance the carrying capacity of the spacecraft. Therefore, it is foreseeable that EMPS has a certain potential in the future space launch mission.

Dafei Bao(包达飞)
Southeast University, China(东南大学)

Title: Tracking and Vibration Control of Flexible Ball Screw Drive System Using a Parallel Structure Controller
Abstract: This paper presents a parallel structure controller for flexible ball screw drive systems with dynamic variations, which are mainly caused by variations of table position and workpiece mass. The controller consists of two parts. The linear quadratic regulator (LQR) controller aims at tracking reference trajectories with high response and accuracy. The interpolated gain-scheduled controller is used to suppress the system vibration. To damp out the varied resonant modes, the controller is obtained by a set of μ-synthesis linear time-invariant (LTI) controllers interpolated via Youla parameterization. The comparison experiments are conducted on the ball screw drive experimental setup to confirm the performance of proposed controller. It is demonstrated that the parallel structure controller achieves high performance in tracking, vibration suppression and disturbance-rejection.

Yajiao Li(李亚娇)
Beijing Microelectronics Technology Institute(北京微电子技术研究所)

Title: A Fast-Lock Low-Jitter PLL Based Adaptive Bandwidth Technique
Abstract: An adaptive-bandwidth phase-locked loop (PLL) presented in this paper is a multi-function, general purpose frequency synthesizer. Ultra-wide input and output ranges along with best-in-class jitter performance allow the PLL to be used for almost any clocking application. To reach wide output range and optimal jitter performance, adaptive bandwidth technique is applied to guarantee the stability of the loop. Furthermore, a fast-lock circuit is used to improve locking speed. The PLL is implemented in a 65nm CMOS process, while the core occupies 0.05mm2 and measurement results shows that the adaptive bandwidth PLL can generate clock with frequency from 200MHz to 1.6GHz. The measurement results also show good robustness of the PLL over temperature and supply voltage variation. The measured RMS jitters at 1.6GHz is less than 0.8ps when the supply noise under the 1% of itself. The fast-lock process lasts less than 3us, and the complete lock time is determined as 1000 input cycles.