检索结果-内蒙古大学图书馆

Multimodal Associative Memory Based on Forgetting Memristor Bridge Synapse Circuit

学校读者我要写书评

暂无评论

SSRN

SSRN 2023年

作者： Li, Ke Chen, Ling Li, Chuandong Qiu, Haoyang Liu, Chenchen Electronic Information and Engineering Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Southwest University 400715 China University of Maryland Baltimore County Computer Science and Electrical Engineering Department United States

Memristor is frequently used to construct synapses and memristor bridge synapse is a typical example of such a synapse. Unlike the traditional memristor bridge synapse, the forgetting memristor bridge synapse can express positive and negative weights, as well as dual weights for long-term and short-term memory. In this study, we constructed the forgetting memristor bridge synapse using the forgetting memristor SPICE model, and then simulated 1*1, 1*3, and 3*3 forgetting memristor bridge synapse networkswith neurons. We demonstrated the circuit and network’s functionality and effectiveness through simulation results and noise ***, we built the bipolar and gray-level BAM (BGBAM) network based on the forgetting memristor bridge. Owing to its dual weight characteristic, the BGBAM associative memory network uses time division multiplexing mode on the same architecture, which enables the realization of multi-modal associative memories between text, images, and audio. © 2023, The Authors. All rights reserved.

关键词： Memristors

Adversarial Domain Adaptation Guided by Farthest Distance for Open Set Electronic Nose Drift Compensation

学校读者我要写书评

暂无评论

SSRN

SSRN 2024年

作者： Pan, Yong Li, Chuandong Xiong, Jiang Hou, Ziye Yao, Youbin College of Computer Science and Engineering Chongqing Three Gorges University Chongqing404020 China College of Electronic and Information Engineering Southwest University Chongqing400715 China College of Computer Science Chongqing University Chongqing440044 China Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing China

With advancements in modern science and technology, electronic noses (ENs) have gained significant attention for their applications in environmental monitoring, food quality inspection, and medical equipment. ENs mimic biological olfactory systems to classify gases using arrays of sensors and pattern recognition models. However, gas sensor drift poses a major challenge, leading to performance degradation in EN systems. To address this, Domain Adaptation (DA) methods have been introduced, aligning source domain data with target domain drift data. While traditional DA methods assume identical class compositions in both domains, this is often unrealistic in practice, leading to suboptimal results. Open Set Domain Adaptation (OSDA) methods have been developed to handle unknown categories in the target domain, but they often become overly focused on distinguishing unknown classes, neglecting the accurate recognition of known classes. To overcome these limitations, we propose an Adversarial Domain Adaptation Guided by Farthest Distance (ADA-FDG) approach. ADA-FDG combines a Farthest Distance Guide Set Selection algorithm and Confidence Normalized Adaptive Factor, enhancing EN performance by efficiently using labeled data, robustly aligning domain distributions, and improving drift compensation. Our approach demonstrates superior performance on two datasets, effectively handling both known and unknown gases, and significantly enhancing the robustness of EN systems in dynamic environments. © 2024, The Authors. All rights reserved.

关键词： Electronic medical equipment

On Secrecy Performance of MISO SWIPT Systems with TAS and Imperfect CSI

学校读者我要写书评

暂无评论

On Secrecy Performance of MISO SWIPT Systems with TAS and Im...

作者： Pan, Gaofeng Lei, Hongjiang Deng, Yansha Fan, Lisheng Yang, Jing Chen, Yunfei Ding, Zhiguo Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing School of Electronic and Information Engineering Southwest University Chongqing400715 China School of Computing and Communications Lancaster University LancasterLA14YW United Kingdom Chongqing Key Laboratory of Mobile Communications Technology Chongqing University of Posts and Telecommunications Chongqing400065 China Centre for Telecommunications King's College London LondonWC2R2LS United Kingdom School of Computer Science and Educational Software Guangzhou University Guangzhou510000 China Department of Electronic Engineering Shantou University Guangdong515063 China School of Information Engineering Yangzhou University Yangzhou225009 China School of Engineering University of Warwick CoventryCV47AL United Kingdom

In this paper, a multiple-input single-output (MISO) simultaneous wireless information and power transfer (SWIPT) system, including one base station (BS) equipped with multiple antennas, one desired single-antenna information receiver (IR), and N (N > 1) single-antenna energy-harvesting receivers (ERs) is considered. Assuming that the information signal to the desired IR may be eavesdropped by ERs if ERs are malicious, we investigate the secrecy performance of the target MISO SWIPT system when imperfect channel state information (CSI) is available and adopted for transmit antenna selection at the BS. Considering that each eavesdropping link experiences independent but not necessarily identically distributed Rayleigh fading, the closed-form expressions for the exact and the asymptotic secrecy outage probability, and the average secrecy capacity are derived and verified by simulations. Furthermore, the optimal power splitting factor is derived for each ER to realize the tradeoff between the energy harvesting and the information eavesdropping. Our results reveal the impact of the imperfect CSI on the secrecy performance of MISO SWIPT systems in the presence of multiple wiretap channels. © 2016 IEEE.

关键词： Energy harvesting

Design of Integrated Energy Monitoring System Based on Cloud Computing

学校读者我要写书评

暂无评论

Design of Integrated Energy Monitoring System Based on Cloud...

Electronic Materials and information Engineering (EMIE), International Conference on

作者： Longlong Zhang Maoqiu Pu Peizhi Yang Zhiyuan Zhu Key Laboratory of Advanced Technique & Preparation for Renewable Energy Materials Ministry of Education Yunnan Normal University Kunming China Guangxi key laboratory of Automobile Components and Vehicle technology Guangxi University of Science and Technology Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Southwest University Chongqing China

ISBN: (数字)9798350390223

ISBN: (纸本)9798350390230

To fully utilize limited energy resources and address the inefficiencies in existing energy management, the authors proposed a comprehensive energy monitoring system design based on cloud computing, starting from the perspective of system network architecture. This system leverages existing resources effectively and incorporates overall scheduling, real-time monitoring, and predictive functionalities. The system operates on a cloud computing platform, processing data from three types of energy metering devices generated by sensors (electricity meter, water meter, gas meter) to provide users with real-time energy consumption data, represented as (0.50, 0.23, 0.10). These values are very close to the actual power consumption values (0.47, 0.21, 0.08), within an acceptable energy consumption range, achieving an average accuracy of 98%. This proves the high accuracy of cloud computing in remote real-time data transmission. Furthermore, the system utilizes the high reliability and scalability of cloud computing to offer integrated resource management, customized application, and virtualization platform switching services to customers, enabling information-based management of energy reserves, consumption, and equipment operation.

关键词： Meters Cloud computing Energy consumption Accuracy Switches Real-time systems Virtualization

Dynamics-Based Algorithm-Level Privacy Preservation for Push-Sum Average Consensus

学校读者我要写书评

暂无评论

arXiv 2023年

作者： Cheng, Huqiang Xie, Mengying Yang, Xiaowei Lü, Qingguo Li, Huaqing Key Laboratory of Dependable Services Computing in Cyber Physical Society-Ministry of Education College of Computer Science Chongqing University Chongqing401331 China School of Software Engineering South China University of Technology Guangzhou510006 China Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing College of Electronic and Information Engineering Southwest University Chongqing400715 China

In the intricate dance of multi-agent systems, achieving average consensus is not just vital–it is the backbone of their functionality. In conventional average consensus algorithms, all agents reach an agreement by individual calculations and sharing information with their respective neighbors. Nevertheless, the information interactions that occur in the communication network may make sensitive information be revealed. In this paper, we develop a new privacy-preserving average consensus method on unbalanced directed networks. Specifically, we ensure privacy preservation by carefully embedding randomness in mixing weights to confuse communications and introducing an extra auxiliary parameter to mask the state-updated rule in initial several iterations. In parallel, we exploit the intrinsic robustness of consensus dynamics to guarantee that the average consensus is precisely achieved. Theoretical results demonstrate that the designed algorithms can converge linearly to the exact average consensus value and can guarantee privacy preservation of agents against both honest-but-curious and eavesdropping attacks. © 2023, CC BY.

关键词： Consensus algorithm

A Color Image Encryption Using One Quaternion-Valued Neural Network

学校读者我要写书评

暂无评论

SSRN

SSRN 2022年

作者： Lin, Dongyuan Zhang, Qiangqiang Chen, Xiaofeng Li, Zhongshan Wang, Shiyuan College of Electronic and Information Engineering Southwest University Chongqing 400715 China Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Chongqing 400715 China College of Mathematics and Statistics Chongqing Jiaotong University Chongqing 400074 China College of Mathematics and Statistics Georgia State University AtlantaGA30302 United States

Color image encryption via real-valued chaos system generally requires multiple real-value systems. To this end, this article presents a encryption algorithm for color image that requires only a quaternion-valued neural network system. First, an inertial memristor-based quaternion-valued neural network (IMQVNN) is proposed and the exponential synchronization criteria for the addressed systems are given. Then, an example and its simulation results are given to verify the rationality of the synchronization criteria. Based on the drive-response systems, a encryption algorithm for color image is therefore put forward. Finally, the effectiveness of the proposed cryptosystem is verified by the simulation results and security performance analysis. © 2022, The Authors. All rights reserved.

关键词： Memristors

On secure mixed RF-FSO systems with TAS and imperfect CSI

学校读者我要写书评

暂无评论

arXiv 2018年

作者： Lei, Hongjiang Luo, Haolun Park, Ki-Hong Ansari, Imran Shafique Lei, Weijia Pan, Gaofeng Alouini, Mohamed-Slim School of Communication and Information Engineering Chongqing University of Posts and Telecommunications Chongqing400065 China School of Engineering University of Glasgow GlasgowG12 8QQ United Kingdom Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Southwest University Chongqing400715 Thuwal23955-6900 Saudi Arabia

In this work, we analyze the secrecy outage performance of a dual-hop relay system composed of multiple-input-multiple-output radio-frequency (RF) links and a free-space optical (FSO) link while a multiple-antenna eavesdropper wiretaps the confidential information by decoding the received signals from the resource node. The channel state information (CSI) of the RF and FSO links is considered to be outdated. We propose three transmit antenna selection (TAS) schemes to enhance the secrecy performance of the considered systems. The secrecy outage performance with different TAS schemes is analyzed and the effects of misalignment and detection technology on the secrecy outage performance of mixed systems are studied. We derive the closed-form expressions for probability density function (PDF) and cumulative distribution function (CDF) over Málaga channel with imperfect CSI. Then the closed-form expressions for the CDF and PDF of the equivalent signal-to-noise ratio (SNR) at the legitimate receiver over Nakagami-m and Málaga channels are derived. Furthermore, the lower bound of the secrecy outage probability (SOP) with different TAS schemes are derived. Besides, the asymptotic results for SOP are investigated by exploiting the unfolding of Meijer's G-function when the electrical SNR of FSO link approaches infinity. Finally, Monte-Carlo simulation results are presented to testify the correctness of the proposed analysis. The results illustrate that the outdated CSI shows a strong effect on the secrecy outage performance. In addition, increasing the number of antennas at the source cannot significantly enhance the secrecy performance of the considered systems. Copyright © 2018, The Authors. All rights reserved.

关键词： Signal to noise ratio

Secrecy outage analysis for cooperative NOMA systems with relay selection scheme

学校读者我要写书评

暂无评论

arXiv 2018年

作者： Lei, Hongjiang Yang, Zixuan Park, Ki-Hong Ansari, Imran Shafique Guo, Yongcai Pan, Gaofeng Alouini, Mohamed-Slim School of Communication and Information Engineering Chongqing Key Lab of Mobile Communications Technology Chongqing University of Posts and Telecommunications Chongqing400065 China School of Engineering University of Glasgow GlasgowG12 8QQ United Kingdom Key Laboratory of Optoelectronic Technology and Systems Education Ministry of China Chongqing University Chongqing400044 China Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Southwest University Chongqing400715 Thuwal23955-6900 Saudi Arabia

This paper considers the secrecy outage performance of a multiple-relay assisted non-orthogonal multiple access (NOMA) network over Nakagami-m fading channels. Two slots are utilized to transmit signals from the base station to destination. At the first slot, the base station broadcasts the superposition signal of the two users to all decode-and-forward relays by message mapping strategy. Then the selected relay transmits superposition signal to the two users via power-domain NOMA technology. Three relay selection (RS) schemes, i.e., optimal single relay selection (OSRS) scheme, two-step single relay selection (TSRS) scheme, and optimal dual relay selection (ODRS) scheme, are proposed and the secrecy outage performance are analyzed. As a benchmark, we also examine the secrecy outage performance of the NOMA systems with traditional multiple relays combining (TMRC) scheme in which all the relay that successfully decode signals from the source forward signals to the NOMA users with equal power. Considering the correlation between the secrecy capacity of two users and different secrecy requirement for two NOMA users, the closed-form expressions for the security outage probability (SOP) of the proposed OSRS, TSRS, and ODRS schemes along with the TMRC scheme are derived and validated via simulations. To get more insights, we also derive the closed-form expressions for the asymptotic SOP for all the schemes with fixed and dynamic power allocations. Furthermore, the secrecy diversity order (SDO) of cooperative NOMA systems is obtained. The results demonstrate that our proposed schemes can significantly enhance the secrecy performance compared to the TMRC scheme and that all the RS schemes with fixed power allocation obtain zero SDO and the OSRS scheme with dynamic power allocation obtains the same SDO as TMRC. Copyright © 2018, The Authors. All rights reserved.

关键词： Cooperative communication

(Rectified Version) Push-LSVRG-UP: Distributed Stochastic Optimization over Unbalanced Directed Networks with Uncoordinated Triggered Probabilities

学校读者我要写书评

暂无评论

arXiv 2023年

作者： Hu, Jinhui Chen, Guo Li, Huaqing Shen, Zixiang Zhang, Weidong Department of Automation Central South University Changsha410083 China Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing College of Electronic and Information Engineering Southwest University Chongqing400715 China School of Information and Communication Engineering Hainan University Haikou Hainan 570228 China Department of Automation Shanghai Jiaotong University Shanghai200240 China

Distributed stochastic optimization, arising in the crossing and integration of traditional stochastic optimization, distributed computing and storage, and network science, has advantages of high efficiency and a low per-iteration computational complexity in resolving large-scale optimization problems. This paper concentrates on resolving a large-scale convex finite-sum optimization problem in a multi-agent system over unbalanced directed networks. To tackle this problem in an efficient way, a distributed consensus optimization algorithm, adopting the push-sum technique and a distributed loopless stochastic variance-reduced gradient (LSVRG) method with uncoordinated triggered probabilities, is developed and named Push-LSVRG-UP. Each agent under this algorithmic framework performs only local computation and communicates only with its neighbors without leaking their private information. The convergence analysis of Push-LSVRG-UP is relied on analyzing the contraction relationships between four error terms associated with the multi-agent system. Theoretical results provide an explicit feasible range of the constant step-size, a linear convergence rate, and an iteration complexity of Push-LSVRG-UP when achieving the globally optimal solution. It is shown that Push-LSVRG-UP achieves the superior characteristics of accelerated linear convergence, fewer storage costs, and a lower per-iteration computational complexity than most existing works. Meanwhile, the introduction of an uncoordinated probabilistic triggered mechanism allows Push-LSVRG-UP to facilitate the independence and flexibility of agents in computing local batch gradients. In simulations, the practicability and improved performance of Push-LSVRG-UP are manifested via resolving two distributed learning problems based on real-world datasets. Copyright © 2023, The Authors. All rights reserved.

关键词： Stochastic systems