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A Neurodynamic Optimization Approach for L₁ Minimization with Application to Compressed Image Reconstruction

INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS 2021年第1期30卷 2140007-2140007页

作者： Dai, Chengchen Che, Hangjun Leung, Man-Fai 1919 Technol Co Ltd Chengdu 610000 Peoples R China Southwest Univ Coll Elect & Informat Engn Chongqing Key Lab Nonlinear Circuits & Intelligen Chongqing 400700 Peoples R China Open Univ Hong Kong Sch Sci & Technol Hong Kong Peoples R China

This paper presents a neurodynamic optimization approach for l(1) minimization based on an augmented Lagrangian function. By using the threshold function in locally competitive algorithm (LCA), subgradient at a nondifferential point is equivalently replaced with the difference of the neuronal state and its mapping. The efficacy of the proposed approach is substantiated by reconstructing three compressed images.

关键词： Neurodynamic optimization l(1) minimization compressed image reconstruction

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Blocking cost-driven multicast scheduling in fat-tree data center networks

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CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 2017年第19期29卷 e4166.1-e4166.10页

作者： Li, Guozhi Guo, Songtao Yang, Yuanyuan Southwest Univ Chongqing Key Lab Nonlinear Circuits & Intelligen Coll Elect & Informat Engn Chongqing 400715 Peoples R China SUNY Stony Brook Dept Elect & Comp Engn Stony Brook NY 11794 USA

Multicast traffic scheduling in data center networks can not only improve network efficiency but also save network resources. However, the existing multicast scheduling algorithms cannot appropriately schedule flows to achieve traffic load balance so that the network may occur heavy blocking. This prevents the full utilization of high degree of link parallelism and causes unpredictable reduction of network performance. To address the problem, in this paper, we propose a blocking cost-driven multicast scheduling algorithm by using optimization theory in fat-tree data center networks. In particular, a model of multicast traffic subnetwork is established on the basis of the blocking probability of available paths at next time slot, which can reflect the blocking characteristics of multicast network and predict network state at next time slot. With the multicast blocking model, we derive the minimum blocking probability of multicast subnetworks, denoted as blocking cost. In addition, the algorithm can select the multicast subnetwork with minimum blocking cost to transfer multicast flows. Time complexity analysis and simulation results demonstrate the effectiveness and efficiency of our proposed multicast scheduling algorithm for different network traffic intensities.

关键词： blocking probability cloud computing fat-tree data center networks multicast scheduling algorithm

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Stability of nonlinear variable-time impulsive differential systems with delayed impulses

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nonlinear ANALYSIS-HYBRID SYSTEMS 2021年 39卷 100970-100970页

作者： He, Zhilong Li, Chuandong Cao, Zhengran Li, Hongfei Southwest Univ Coll Elect & Informat Engn Chongqing Key Lab Nonlinear Circuits & Intelligen Chongqing 400715 Peoples R China Xinjiang Univ Finance & Econ Sch Finance Urumqi 830012 Peoples R China Peking Univ State Key Lab Turbulence & Complex Syst Dept Mech & Engn Sci BIC ESATColl Engn Beijing 100871 Peoples R China

This paper investigates the stability of nonlinear variable-time impulsive differential systems with delayed impulses. By using the comparison principle, the Lyapunov method and inequality techniques, some sufficient conditions for quasi-uniformly asymptotic stability and quasi-exponential stability of a given solution of variable-time impulsive differential systems with delayed impulses are established. (c) 2020 Elsevier Ltd. All rights reserved.

关键词： nonlinear system Variable-time impulses Delayed impulses Quasi-uniformly asymptotic stability Quasi-exponential stability

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Distributed neurodynamic algorithms for collaborative energy management in energy internet considering time-varying factors

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ELECTRIC POWER SYSTEMS RESEARCH 2023年第PartA期214卷

作者： Zhao, Gui He, Xing Chen, Guo Li, Chaojie Southwest Univ Chongqing Key Lab Nonlinear Circuits & Intelligen Coll Elect & Informat Engn Chongqing 400715 Peoples R China Univ Newcastle Sch Elect Engn & Comp Sci Newcastle NSW 2308 Australia Univ New South Wales Sch Elect Engn & Telecommun Sydney NSW 2052 Australia

This paper investigates the energy management problem of the energy Internet under time-varying conditions. In the context of coupled multi-energy networks, the energy Internet is considered to be composed of multiple energy bodies and requires collaborative planning of multiple energy networks. A model for distributed energy management with a non-smooth cost function and line congestion constraints is proposed, with the goal of reducing overall operating costs and improving customer benefits while considering load as a time-varying factor. Then, a neurodynamic time-varying algorithm for addressing the energy management problem executed in a fully distributed manner is proposed. On the one hand, the predictive effect of the differential feedback term is exploited and embedded in the implementation of the proposed algorithm, thus speeding up the convergence. On the other hand, the algorithm is executed in a distributed manner, and only limited information is exchanged among the agents to complete the optimal operation locally, thus reducing the communication burden and ensuring privacy and robustness. Finally, theoretical proofs guarantee the stability of the proposed algorithm, and simulation experiments illustrate the effectiveness and robustness of the proposed algorithm.

关键词： Energy management Energy internet Distributed model Neurodynamic algorithm

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Feature Extraction of Electronic Nose Signals Using QPSO-Based Multiple KFDA Signal Processing

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SENSORS 2018年第2期18卷 388-388页

作者： Wen, Tailai Yan, Jia Huang, Daoyu Lu, Kun Deng, Changjian Zeng, Tanyue Yu, Song He, Zhiyi Southwest Univ Coll Elect & Informat Engn Chongqing 400715 Peoples R China Chongqing Key Lab Nonlinear Circuits & Intelligen Chongqing 400715 Peoples R China China Int Engn Consulting Corp High Tech Dept Beijing 100048 Peoples R China

The aim of this research was to enhance the classification accuracy of an electronic nose (E-nose) in different detecting applications. During the learning process of the E-nose to predict the types of different odors, the prediction accuracy was not quite satisfying because the raw features extracted from sensors' responses were regarded as the input of a classifier without any feature extraction processing. Therefore, in order to obtain more useful information and improve the E-nose's classification accuracy, in this paper, a Weighted Kernels Fisher Discriminant Analysis (WKFDA) combined with Quantum-behaved Particle Swarm Optimization (QPSO), i.e., QWKFDA, was presented to reprocess the original feature matrix. In addition, we have also compared the proposed method with quite a few previously existing ones including Principal Component Analysis (PCA), Locality Preserving Projections (LPP), Fisher Discriminant Analysis (FDA) and Kernels Fisher Discriminant Analysis (KFDA). Experimental results proved that QWKFDA is an effective feature extraction method for E-nose in predicting the types of wound infection and inflammable gases, which shared much higher classification accuracy than those of the contrast methods.

关键词： electronic nose feature extraction multiple kernel learning weighted kernels Fisher discriminant analysis classification

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Joint Modulation Classification and User Number Detection for Multiuser MIMO-STBC Systems

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informatION 2016年第4期7卷 70页

作者： Qian, Guobing Ruan, Zongli Lu, Jianqi Southwest Univ Coll Elect & Informat Engn Chongqing 400715 Peoples R China Chongqing Key Lab Nonlinear Circuits & Intelligen Chongqing 400715 Peoples R China Univ Elect Sci & Technol China Sch Elect Engn Chengdu 611731 Peoples R China

The research on non-cooperative multiuser multiple-input multiple-output with space-time block code (MIMO-STBC) communication systems is a challenging and important task. However, to our knowledge, there is little report of this topic. Being two key research issues in this area, modulation classification and user number detection are studied in this paper. We consider both problems jointly as a multiple hypothesis testing problem. Based on this idea, we propose a joint modulation classification and user number detection algorithm for the multiuser MIMO-STBC systems. The proposed method does not require prior knowledge of the propagation channel or noise power, and thus might be suitable for the non-cooperative scenario. Simulations validate the effectiveness of the proposed method.

关键词： joint modulation classification user number detection multiuser multiple-input multiple-output (MIMO) space-time block code (STBC)

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Non-Contact Current Sensing System Based on the Giant Magnetoimpedance Effect of CoFeNiSiB Amorphous Ribbon Meanders

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MICROMACHINES 2024年第1期15卷 161-161页

作者： Yang, Zhen Wang, Zhenbao Liu, Mengyu Sun, Xuecheng Guangxi Normal Univ Sch Elect & Informat Engn Sch Integrated Circuits Guilin 541004 Peoples R China Guangxi Normal Univ Educ Dept Guangxi Zhuang Autonomous Reg Key Lab Integrated Circuits & Microsyst Guilin 541004 Peoples R China Guangxi Normal Univ Sch Elect & Informat Engn Guangxi Key Lab Brain Inspired Comp & Intelligent Guilin 541004 Peoples R China Shanghai Univ Microelect Res & Dev Ctr Sch Mechatron Engn & Automat Shanghai 200444 Peoples R China

A sensitive non-contact sensing system based on the CoFeNiSiB amorphous ribbon giant magnetoimpedance (GMI) effect is proposed for current testing. The sensing system consists of a GMI probe, a sinusoidal current generator, a voltage follower, a preamplifier, a low-pass filter, and a peak detector. Four different GMI probes derived from amorphous ribbon meanders are designed and fabricated through MEMS processes. GMI probes were driven by a 10 MHz, 5 mA AC current. A permanent magnet was used to provide a bias magnetic field for the probe. The effect of the bias magnetic field on the output DC voltage was investigated. This non-contact current sensing system exhibits good sensitivity and linearity at a bias magnetic field Hbias = 15 Oe. The sensitivity can reach up to 24.2 mV/A in the +/- 1.5 A range.

关键词： current sensing system GMI effect probe amorphous ribbon meanders

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Enhanced Energy Storage Performance in Na0.5Bi0.5TiO3-Based Relaxor Ferroelectric Ceramics via Compositional Tailoring

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MATERIALS 2022年第17期15卷 5881-5881页

作者： Jiang, Yuleng Niu, Xiang Liang, Wei Jian, Xiaodong Shi, Hongwei Li, Feng Zhang, Yang Wang, Ting Gong, Weiping Zhao, Xiaobo Yao, Yingbang Tao, Tao Liang, Bo Lu, Shengguo Guangdong Univ Technol Guangdong Prov Res Ctr Smart Mat & Energy Convers Sch Integrated Circuits Sch Mat & EnergyGuangdong Prov Key Lab Funct Sof Guangzhou 510006 Peoples R China Anhui Univ Inst Phys Sci Informat Mat & Intelligent Sensing Lab Anhui Prov Hefei 230601 Peoples R China Anhui Univ Inst Informat Technol Informat Mat & Intelligent Sensing Lab Anhui Prov Hefei 230601 Peoples R China Huizhou Univ Guangdong Prov Key Lab Elect Funct Mat & Devices Huizhou 516001 Peoples R China Guangdong Univ Technol Sch Integrated Circuits Guangzhou 510006 Peoples R China Dongguan South China Design Innovat Inst Dongguan 523808 Peoples R China

Owing to the high power density, excellent operational stability and fast charge/discharge rate, and environmental friendliness, the lead-free Na0.5Bi0.5TiO3 (NBT)-based relaxor ferroelectrics exhibit great potential in pulsed power capacitors. Herein, novel lead-free (1 -x)(0.7Na(0.5)Bi(0.5)TiO(3)-0.3Sr(0.7)Bi(0.2)TiO(3))-xBi(Mg0.5Zr0.5)O-3 (NBT-SBT-xBMZ) relaxor ferroelectric ceramics were successfully fabricated using a solid-state reaction method and designed via compositional tailoring. The microstructure, dielectric properties, ferroelectric properties, and energy storage performance were investigated. The results indicate that appropriate Bi(Mg0.5Zr0.5)O-3 content can effectively enhance the relaxor ferroelectric characteristics and improve the dielectric breakdown strength by forming fine grain sizes and diminishing oxygen vacancy concentrations. Therefore, the optimal W-rec of 6.75 J/cm(3) and a eta of 79.44% were simultaneously obtained in NBT-SBT-0.15BMZ at 20 degrees C and 385 kV/cm. Meanwhile, thermal stability (20-180 degrees C) and frequency stability (1-200 Hz) associated with the ultrafast discharge time of similar to 49.1 ns were also procured in the same composition, providing a promising material system for applications in power pulse devices.

关键词： Na0.5Bi0.5TiO3 lead-free relaxor ferroelectrics compositional tailoring energy storage

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Development and optimization of PZT suspensions with high solid loading and low viscosity for stereolithography-based additive manufacturing

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CERAMICS INTERNATIONAL 2024年第2期50卷 3325-3333页

作者： Jiao, Yifei Fan, Guifen Chen, Yongan Yu, Wanjun Gong, Feng Liu, Gang Bai, Jiaming Zhou, Peng Zhang, Dongyang Sun, Lining Shenzhen Polytech Univ Inst Intelligent Mfg Technol Shenzhen 518055 Peoples R China Wuhan Inst Technol Hubei Key Lab Plasma Chem & Adv Mat Sch Mat Sci & Engn Wuhan 430205 Peoples R China Huazhong Univ Sci & Technol Sch Opt & Elect Informat Key Lab Funct Mat Elect Informat B MOE Wuhan 430074 Peoples R China Yantai Univ Sch Environm & Mat Engn Yantai 264005 Peoples R China Shenzhen Univ Coll Mechatron & Control Engn Dept Mech & Elect Engn Shenzhen 518055 Peoples R China Southern Univ Sci & Technol Coll Engn Shenzhen 518055 Peoples R China Shenzhen Polytech Univ Inst Crit Mat Integrated Circuits Shenzhen 518055 Peoples R China Soochow Univ Robot & Microsyst Ctr Sch Mech & Elect Engn Suzhou 215021 Peoples R China

Achieving synergy between high solid loading and low viscosity for ceramic suspensions a critical issue in the field of stereolithography. In this work, we successfully obtained a well-dispersed PZT suspension with high solid loading (55 vol%) and low viscosity (3047.5 mPa s at 60 rpm) by adding appropriate amounts of dispersant (1 wt % KOS110) and thickening agent (2 wt% PEG300), providing a foundation for crack-free photosensitive lead zirconate titanate (PZT) samples. This work presented a simple approach for achieving synergy between the high solid loading and low viscosity of ceramic suspensions for stereolithography-based additive manufacturing.

关键词： PZT suspensions Solid loading Viscosity Crack-free

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HfO2/WO3 Heterojunction Structured Memristor for High-Density Storage and Neuromorphic Computing

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ADVANCED MATERIALS TECHNOLOGIES 2023年第4期8卷

作者： Liu, Qi Gao, Song Li, Yang Yue, Wenjing Zhang, Chunwei Kan, Hao Shen, Guozhen Univ Jinan Sch Informat Sci & Engn Jinan 250022 Peoples R China Univ Jinan Shandong Prov Key Lab Network Based Intelligent C Jinan 250022 Peoples R China Beijing Inst Technol Sch Integrated Circuits & Elect Beijing 100081 Peoples R China

With the boom of artificial intelligence (AI) and big data, electronics demand faster computing speed and lower power consumption, however, von Neumann architecture of current devices feature severe drawbacks for the further improvement of computing capability due to its design with separated memory and central processing unit (CPU). Fortunately, emerging nonvolatile memory devices, especially memristors, exhibit tremendous advantages in breaking the "memory wall" between memory and CPU by virtue of their in-computing and neuromorphic computing abilities. Here, a WO3/HfO2 heterojunction-based memristor is proposed, and the device exhibits extraordinary resistive switching behaviors (e.g., high ON/OFF ratio, stable endurance, long retention time, and multilevel resistance states) and neuromorphic characteristics (long-term/short-term synaptic activities). Further, the mechanism underlying the electrical performances of this device is studied. Silver conductive filaments and Schottky barrier models are proposed and explained successfully. Additionally, a multilayer layer perceptron neural network is constructed in terms of the memristor model, and variables embracing learning rate, algorithm, and training epochs, are explored to enhance the recognition accuracy of the network. Undoubtedly, the proposed high-quality WO3/HfO2 heterojunction-based memristor contributes to promoting the development of high-density storage and neuromorphic computing technology, showing fascinating prospects in the era of AI.

关键词： artificial intelligence memristor oxide heterojunction neural network neuromorphic computing

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