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16th Genetic and Evolutionary Computation Conference Companion, GECCO 2014 Companion

作者： Zhang, Xin-Yuan Gong, Yue-Jiao Li, Jing-Jing Lin, Ying Department of Computer Science Sun Yat-sen University China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education China Key Laboratory of Software Technology Education Department of Guangdong Province China School of Computer Science South China Normal University China Department of Psychology Sun Yat-sen University China

ISBN: (纸本)9781450328814

Scheduling the operating mode of nodes is an effective way to maximize the lifetime of wireless sensor networks (WSN). For a WSN with randomly and densely deployed sensors, we could maximize the lifetime of WSN through finding the maximum number of disjoint complete cover sets. Most of the related work focuses on 2D ideal plane. However, deploying sensors on the 3D surface is more practical in real world scenarios. We propose a novel genetic algorithm with redundant sensor auto-adjustment, termed RSAGA. In order to adapt the original GA into this application, we employ some effective mechanisms along with the basic crossover, mutation, and selection operation. The proposed operator of redundant sensor auto-adjustment schedules the redundant sensors in complete cover sets into incomplete cover sets so as to improve the coverage of the latters. A rearrangement operation specially designed for the critical sensors is embedded in the mutation operator to fine-tune the node arrangement of critical fields. Moreover, we modify the traditional cost function by increasing the penalty of incomplete cover sets for improving the convergence rate of finding feasible solutions. Simulation has been conducted to evaluate the performance of RSAGA. The experimental results show that the proposed RSAGA possesses very promising performance in terms of solution quality and robustness.

关键词： Genetic algorithms

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A data-driven three-dimensional RSS model for device-free localization and tracking 21

A data-driven three-dimensional RSS model for device-free lo...

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21st IEEE International Conference on High Performance computing and Communications, 17th IEEE International Conference on Smart City and 5th IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2019

作者： Wang, Guo-Li Hong, Xiao-Bing Guo, Xue-Mei Fang, Yuan School of Electronics and Information Technology Sun Yat-Sen University GuangZhou510006 China School of Data and Computer Science Sun Yat-Sen University GuangZhou510006 China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education China

ISBN: (纸本)9781728120584

The main technical challenge in device-free localization and tracking (DFLT) based on the received signal strength (RSS) is that the existence of multipath interferences will weaken the detection ability of RSS data of RF links. This difficulty will lead to performance degradation of wireless sensor network in cluttered environments. To address this challenge, this work focuses on developing a data-driven three-dimensional RSS model that can fully tap the certainty of target-induced shadow fading and reduce the uncertainty caused by multipath fading in RSS data. The novelty of our proposed model is twofold. Firstly, the RSS model is developed under relevance vector machine (RVM) framework with respect to three modeling parameters, that is, the excess path length, the proximity to TX/RX nodes and the static fade level. Secondly, as an alternative to existing empirical RSS modeling methods, our RVM-based modeling method can not only effectively capture complicated relationships among various modeling dimensions by machine learning but also have stronger representation ability on RSS data. The experimental results demonstrate the superiority of our proposed model in DFLT performance improvement. © 2019 IEEE.

关键词： Wireless sensor networks

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Solving for inverse-like dynamic matrices of variables and derivatives using zhang neural dynamics (ZND) equivalency 6

Solving for inverse-like dynamic matrices of variables and d...

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6th International Conference on Systems and Informatics, ICSAI 2019

作者： Chen, Jianrong Mao, Mingzhi Zhang, Yunong Guangzhou510006 China Information and Education Technology Center Youjiang Medical University for Nationalities Baise533000 China Research Institute of Sun Yat-sen University in Shenzhen Shenzhen518057 China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education Guangzhou510006 China

ISBN: (纸本)9781728152561

Solving for inverse-like dynamic matrices of variables and derivatives is exciting and challenging. Although it may be encountered in the fields of industrial control or scientific research, it has not been widely studied because of its complexity and difficulty. In this work, to solve this problem, the Zhang neural dynamics (ZND, or called, zeroing neural dynamics) method is employed to the equivalent transformation of the original problem, and a model termed ZND equivalency (ZE) model is proposed and investigated. Meanwhile, a derivative dynamics (DD) model is proposed for comparison purposes. In order to facilitate the implementation of digital hardware, a five-instant Zhang et al discretization (ZeaD) formula is presented. Thus, two discrete models termed discrete-time ZE model and discrete-time DD model (in short DZE model and DDD model, respectively) are proposed by using the presented ZeaD formula. Theoretical analysis and numerical experimental results indicate the good performance, accuracy and superiority of the DZE model. © 2019 IEEE.

关键词： Matrix algebra

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Future Linear Matrix Equation of Generalized Sylvester Type Solved by Zeroing Neural Dynamics and 5-Instant ZeaD Formula 15th

Future Linear Matrix Equation of Generalized Sylvester Type ...

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15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2019, co-located with the 5th International Conference on Harmony Search, Soft computing and Applications, ICHSA 2019

作者： Ming, Liangjie Shi, Nini Shi, Yang Zhang, Yunong School of Information Science and Technology Sun Yat-sen University Guangzhou510006 China Research Institute of Sun Yat-sen University in Shenzhen Shenzhen518057 China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education Guangzhou51006 China

ISBN: (纸本)9783030324551

In this paper, a new discrete-time zeroing dynamics (or say, Zhang dynamics, ZD) model is proposed, analyzed and investigated for solving generalized-Sylvester-type future linear matrix equation (GS-type FLME). First of all, based on ZD design formula, a continuous-time ZD (CTZD) model is proposed for solving generalized-Sylvester-type continuous-time linear matrix equation (i.e., GS-type CTLME). Secondly, a novel one-step-ahead discretization formula (termed Zhang et al. discretization formula, ZeaD formula) is presented for the first-order derivative approximation with higher computational precision. Then, by exploiting the presented ZeaD formula to discretize the CTZD model, a novel discrete-time ZD (DTZD) model, i.e., ZeaD-type DTZD-E model, is proposed, analyzed and investigated for solving GS-type FLME. Theoretical analyses on the convergence and precision of the proposed DTZD models are presented. Comparative numerical experimental results further substantiate the efficacy and superiority of proposed ZeaD-type DTZD model for solving the GS-type FLME. © Springer Nature Switzerland AG, 2020.

关键词： Dynamics

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A mixed approach for fetal QRS complex detection

A mixed approach for fetal QRS complex detection

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Chinese Intelligent Systems Conference, CISC 2018

作者： Liao, Lijuan Zhong, Wei Guo, Xuemei Wang, Guoli School of Electronics and Information Technology Sun Yat-Sen University Guangzhou510006 China School of Data and Computer Science Sun Yat-Sen University Guangzhou510006 China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education Beijing China

ISBN: (纸本)9789811322877

Non-invasive fetal electrocardiogram (NI-FECG) plays an important role in detecting and diagnosing fetal diseases. Fetal electrocardiogram (FECG) is used to know the information of the fetal health. In this paper, we propose a mixed approach for extracting FECG from maternal abdominal ECG (AECG) recording. The proposed method is based on a combination of the wavelet transform and Support Vector machines (SVM). As a first tier, the wavelet transform is used to detect maternal QRS complex from abdominal ECG recording. Then, a coherent averaging method was using to construct MECG and remove MECG from AECG recording. After removing MECG, SVM is used to locate fetal QRA complex from residual signal. The accuracy (84.53%) and Positive predictive value (PPV) (89.6%) in this study are much higher than other method. © Springer Nature Singapore Pte Ltd. 2019.

关键词： Support vector machines

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New 5-step discrete-time zeroing neuronet for time-dependent matrix square root finding 6

New 5-step discrete-time zeroing neuronet for time-dependent...

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6th International Conference on Systems and Informatics, ICSAI 2019

作者： Liu, Xiao Hu, Chaowei Kang, Xiangui Mao, Mingzhi Zhang, Yunong Qiu, Binbin School of Information Science and Technology Sun Yat-sen University Guangzhou510006 China Research Institute of Sun Yat-sen University in Shenzhen Shenzhen518057 China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education Guangzhou510006 China

ISBN: (纸本)9781728152561

In this paper, for the purpose of finding square root of a time-dependent matrix, a new discrete-time zeroing neuronet (DTZN) is proposed. Firstly, the problem of square root finding of time-dependent matrix is formulated. Then, an explicit continuous-time zeroing neuronet (CTZN) is derived from the problem formulation equation via vectorization technique. Furthermore, based on Taylor expansion, we present a 5-Step Zhang time-discretization (ZTD) formula. The ZTD is used to approximate the 1st-order derivative of the object, of which the truncational error is proportional to the cube of the sampling period. Finally, the 5-Step DTZN for solving the square root of a time-dependent matrix is acquired by using the presented 5-Step ZTD formula to discretize the CTZN. Theoretical analyses shown stable and convergent performance of the proposed 5-Step DTZN for solving the square root of a time-dependent matrix. Computer experiments results present the stability and convergence of the obtained DTZN for solving square root of time-dependent matrix with the maximum steady-state residual errors proportional to the fourth power of sampling period. By comparison with the DTZNs using Euler formula and the previous 5-Step discretization formula, the proposed 5-Step DTZN has an advantage in residual error. In addition, the influences of step size and sampling period are illustrated by computer experiments results. © 2019 IEEE.

关键词： Matrix algebra

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High-performance Zn-graphite battery based on LiPF6 single-salt electrolyte with high working voltage and long cycling life

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Journal of Energy Chemistry 2021年第7期30卷 602-609页

作者： Yong Wang Luojiang Zhang Fan Zhang Xuan Ding Kyungsoo Shin Yongbing Tang Functional Thin Films Research Center Shenzhen Institutes of Advanced TechnologyChinese Academy of SciencesShenzhen 518055GuangdongChina University of Chinese Academy of Sciences Beijing 100049China Key Laboratory of Advanced Materials Processing&Mold Ministry of EducationZhengzhou UniversityZhengzhou 450002HenanChina Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced TechnologyChinese Academy of SciencesShenzhen 518055GuangdongChina

Zinc-ion batteries(ZIBs) are promising alternative energy storage devices to lithium-ion batteries owing to the merits of large abundance,high theoretical capacity,and environmental ***,critical challenges including low working voltage(below 2 V),low energy density as well as dendrites formation during long cycling caused by aqueous ZIB systems still hinder their practical ***,a high-voltage Zn-graphite battery(ZGB) based on a non-zinc ion single-salt electrolyte(2.5 M LiPF6 in carbonate solvent) is ***,we surprisingly found that Zn^(2+) is dissolved in the LiPF6 single-salt electrolyte during resting and discharging processes,thus enabling reversible Zn plating/stripping mechanism on the Zn foil anode in the ZGB over the voltage window of 1.0-3.1 *** a result,the ZGB achieves long-term cycling performance with a capacity retention of ~100% for over1200 cycles at 3 C and high Coulombic efficiency of ~100% in 1.0-3.1 V with no dendrites ***,the ZGB exhibits a high working voltage of up to 2.2 V,thus contributing to both high energy density(up to 210 Wh kg^(-1)) and high power density(up to 1013 W kg^(-1)),superior than most reported ZIBs.

关键词： Zinc-ion battery Zn anode Graphite cathode LiPF6 single-salt electrolyte High voltage

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Medical Image Super-Resolution Based on the Generative Adversarial Network

Medical Image Super-Resolution Based on the Generative Adver...

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Chinese Intelligent Systems Conference, CISC 2019

作者： Huang, Xu Zhang, Qianyao Wang, Guoli Guo, Xuemei Li, Zhonghua School of Electronics and Information Technology Sun Yat-sen University Guangzhou510006 China School of Data and Computer Science Sun Yat-sen University Guangzhou510006 China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education Guangzhou China

ISBN: (纸本)9789813296855

In order to assist doctors to read medical pathological images with low resolution, this paper proposes a medical image super-resolution (SR) reconstruction method based on generative adversarial network (GAN). Considering that the pathological image has large non-organized regions, we design a medical pathological image preprocessing system to extract tissue area image patches. And, we improve discriminator with small batch relative discrimination to enhance the quality of reconstructed images by learning more prior information. We use Huber loss instead of the original MSE which can keep the network training stable. We find the feature similarity (FSIM) is suitable as an image quality evaluation way for medical image reconstruction research. And, the experimental results show the advantages of our method in the restoration of color and intercellular texture details. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Generative adversarial networks

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Predicting Potential Years of Most Costly War Involving USA via ASF Approach 15th

Predicting Potential Years of Most Costly War Involving USA ...

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作者： Zhang, Yunong Yang, Guanqun Wang, Ruifeng Ming, Liangjie School of Information Science and Technology Sun Yat-sen University Guangzhou510006 China Research Institute of Sun Yat-sen University in Shenzhen Shenzhen518057 China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education Guangzhou510006 China

ISBN: (纸本)9783030324551

In this paper, the addition-subtraction frequency (ASF) approach is used to predict the years of potentially costly war, which may erupt with the United States of America in the future. In the numerical experiments involved in this paper, we select the years of historic 10 most expensive wars as input data, using three-variable, full-traversal ASF approach to predict the potential years of most costly war that may occur in the future. By using different 9-input data (removing one each year datum) to test the robustness of the experimental results, the final conclusion is that there is a relatively high possibility of most costly war occurring in 2021 or 2036–2038. © Springer Nature Switzerland AG, 2020.

关键词： Forecasting

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Using EZDA approach to handle original ZG control failure for TVNS systems output tracking due to states tending to infinity 6

Using EZDA approach to handle original ZG control failure fo...

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6th International Conference on Systems and Informatics, ICSAI 2019

作者： Zhang, Yunong Shi, Nini Yang, Min Guo, Jinjin Ling, Yihong School of Information Science and Technology Sun Yat-sen University Guangzhou510006 China Research Institute of Sun Yat-sen University in Shenzhen Shenzhen518057 China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education Guangzhou510006 China

ISBN: (纸本)9781728152561

This paper investigates the original Zhang-gradient (ZG) control failure for the output tracking, which is caused by the system states tending to infinity in the time-varying nonlinear scalar (TVNS) systems. Aiming at solving this problem, the extra Zhang dynamics aid (EZDA) approach is considered, and EZDA controllers are designed. Meanwhile, mathematical derivations are presented, and numerical experiments are conducted, substantiating that this control strategy proposed by the EZDA approach is good. This means that the original ZG control failure is effectively solved. Specifically, the effectiveness and feasibility of the EZDA approach are verified. © 2019 IEEE.

关键词： EZDA approach Numerical substantiations Original ZG control failure Output tracking Tvns systems

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