检索结果-内蒙古大学图书馆

International Conference on intelligent Human-Machine Systems and Cybernetics, IHMSC

作者： Wenge Jiang Guangyuan Liu Xingcong Zhao Fu Yang School of Electronic and Information Engineering Southwest University Chongqing China Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Southwest University Chongqing China

Many of the current emotion recognitions are intra-subject, the reason is that recognize cross-subject emotions have always been difficult. In this paper, we proposed a decision tree classifier based on sequential backward selection (DT-SBS), and "leave-one-subject-out" verification strategy was used for evaluating performance of cross-subject emotion recognition. Power spectral density (PSD) was extracted from EEG signals as feature set. The emotion recognition performance of the method we proposed was examined on EEG data of a group of subjects. The pictures were utilized to stimulate the emotion of 12 subjects and we collected their EEG signals (PEEG), the mean recognition accuracy of 65.8%. The dataset for emotion analysis using physiological signals (DEAP) was utilized to verify the method we proposed in this paper and the mean recognition accuracy of 65.2%. Compared with the performance reported in the existing literature, the method we proposed in this paper was effective in cross-subject emotion recognition. In addition, the emotion recognition performance of different rhythms were explored, we found that the mean recognition accuracy of PSD in the gamma rhythm achieved the best mean recognition accuracy compared with the other rhythms; the high frequency bands contained higher emotional information than the low frequency bands.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Privacy-Preserving Fuzzy Multi-keyword Search for Multiple Data Owners in Cloud Computing

Privacy-Preserving Fuzzy Multi-Keyword Search for Multiple D...

引用

IEEE Symposium Series on Computational Intelligence (SSCI)

作者： Lvhao Chen Xiaofeng Liao Nankun Mu Jiahui Wu Junqing Junqing Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Electronic and Information Engineering Southwest University Chongqing P.R. China Computer Science Chongqing University Chongqing P. R. China Le Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Electronic and Information Engineering Southwest University Chongqing P.R. China

ISBN: (数字)9781728124858

ISBN: (纸本)9781728124865

With cloud computing's development, more users are decide to store information on the cloud server. Owing to the cloud server's insecurity, many documents should be encrypted to avoid information leakage before being sent to the cloud. Nevertheless, it leads to the problem that plaintext search techniques can not be directly applied to the ciphertext search. In this case, many searchable encryption schemes based on single data owner model have been proposed. But, the actual situation is that users want to do research with encrypted documents originating from various data owners. This paper puts forward a privacy-preserving scheme that is based on fuzzy multi-keyword search (PPFMKS) for multiple data owners. For the sake of espousing fuzzy multi-keyword and accurate search, secure indexes on the basis of Locality-Sensitive Hashing (LSH) and Bloom Filter (BF)are established. To guarantee the search privacy under multiple data owners model, a new encryption method allowing that different data owners have diverse keys to encrypt files is proposed. This method also solves the high cost caused by inconvenience of key management.

关键词： Cloud computing Servers Indexes Encryption Data privacy

来源：评论

学校读者我要写书评

暂无评论

Association Rules Hiding via Multi-Objective Differential Evolution Algorithm

Association Rules Hiding via Multi-Objective Differential Ev...

引用

International Conference on Informative and Cybernetics for Computational Social Systems (ICCSS)

作者： Nankun Mu Fan Yang Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing College of Electronic and Information Engineering Southwest University Chongqing P.R. China

ISBN: (数字)9781728158570

ISBN: (纸本)9781728158587

Association rules (ARs) mining has been widely used in discovering interesting patterns from massive data as a key data mining technique. However, this mining technique may lead to the disclosure of sensitive ARs, and thus, the ARs hiding strategy is very important and necessary. In this paper, a novel ARs hiding method (DEvoArH) is proposed for hiding the ARs. Noting that there are three side-effects in ARs hiding (ARH), i.e., the hiding failure rate, the lost rules rate, and the ghost rules rate, a multi-objective differential evolution algorithm is carefully designed. Specifically, the Pareto-optimal solutions are defined as the elite set, and then each solution is capable of learning from the elite set with a certain probability. Considering the convergence speed and search ability, a directional mutation and random mutate round is introduced into the mutation operator. Besides, to further decrease the data change rate, a database pre-processing mechanism is proposed to filter the unrelated data before the hiding process. Finally, the results of the comparison experiments also demonstrate the superiority of the proposed ARH method in terms of the three side-effects and efficiency.

关键词： association rules hiding multi-objective optimal evolutionary algorithm

来源：评论

学校读者我要写书评

暂无评论

Cooperative Hybrid VLC-RF Systems for WSNs

Cooperative Hybrid VLC-RF Systems for WSNs

引用

Asia-Pacific Signal and information processing Association Annual Summit and Conference (APSIPA)

作者： Chao Zhang Jia Ye Jia Shi Gaofeng Pan Zan Li Zhiguo Ding SWU Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Chongqing China State key laboratory of integrated services networks Xidian University Xi'an China

ISBN: (纸本)9781728102436;9789881476852

In this paper, a cooperative hybrid visible light communication (VLC)-radio frequency (RF) wireless sensor network, which includes a transmitter ( S) with a cluster of light emitting diodes (LED) lamps, a relay ( R) and a destination ( D), is taken into consideration. Specially, R is randomly located in the coverage of the LED lamps, D is randomly distributed out of the coverage of the LED lamps. Then, VLC is employed for S-R link and traditional radio frequency (RF) communication technology is adopted over R-D link. Moreover, both of decode-forward (DF) and amplify-forward (AF) relay schemes are considered at R to aid the data transmissions between S and D. Considering Nakagami- m fading over R-D link, and the randomness of the locations of R and D, the statistical characteristics of the received signal-to-noise ratio at D under both AF and DF relay schemes are characterized, respectively. After that, approximated analytical expressions for the outage probability of the considered system are respectively derived. Finally, simulation and numerical analysis are conducted to verify the correctness of our proposed analytical models.

关键词： Relays LED lamps Radio frequency Signal to noise ratio Wireless sensor networks Fading channels

来源：评论

学校读者我要写书评

暂无评论

High Contrast Ratio 4-to-2 Plasmonic Encoder Utilizing Cascaded Ring Resonators

High Contrast Ratio 4-to-2 Plasmonic Encoder Utilizing Casca...

引用

International Conference on Electronic Engineering and Informatics (EEI)

作者： Yan Chen Yiyuan Xie Junxiong Chai Yichen Ye College of Electronic and Information Engineering Southwest University Chongqing China Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Chongqing China Key Laboratory of Networks and Cloud Computing Security of Universities in Chongqing Chongqing China

ISBN: (数字)9798350353594

ISBN: (纸本)9798350353600

In this paper, a novel plasmonic 4-to-2 encoder comprising cascaded ring resonators coated with graphene layers and two metal-insulator-metal (MIM) waveguides. The encoding function operates at 850 nm by modulating the intensity of pump beam focused on the graphene layer to manipulate the state of the plasmonic resonators. The performance of the encoder is analyzed utilizing the finite-difference time-domain method, demonstrating a high contrast ratio of 15.1 dB. Thus, this efficient 4-to-2 optical encoder is well-suited for integration into optical integrated computing devices.

关键词： Integrated optics Optical switches Graphene Plasmons Optical pumping Encoding Optical modulation Optical ring resonators Optical devices Finite difference methods

来源：评论

学校读者我要写书评

暂无评论

Fixed-relative-switch strategies for learning based event-triggered control of nonlinear multiagent systems

arXiv

引用

arXiv 2024年

作者： Wang, Ziming Gao, Yun Rikos, Apostolos I. Wang, Xin Ji, Yiding Guangzhou China Guangzhou China The Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing College of Electronic and Information Engineering Southwest University Chongqing China

This paper investigates event-triggered control for consensus tracking in nonlinear semi-strict-feedback multi-agent systems (MASs) with unknown states and subject to disturbances. We begin by employing radial basis function neural networks combined with the backstepping method to approximate the unknown nonlinear dynamics of the MASs, which facilitates the development of state and disturbance observers for estimation. We then propose three adaptive event-triggered control strategies: fixed-threshold, relative-threshold, and switch-threshold, whose controllers and triggering conditions are defined acocrdingly. By applying Lyapunov stability theory, we rigorously prove that all follower agents’ outputs consistently track the reference of their leader, and all error signals remain uniformly bounded. Moreover, our control strategies effectively mitigate the occurrence of Zeno behaviors. To validate our control framework, an illustrative example is provided to demonstrate its desirable performance in consensus tracking and triggering efficiency. Copyright © 2024, The Authors. All rights reserved.

关键词： Radial basis function networks

来源：评论

学校读者我要写书评

暂无评论

Reliability Analysis of Optical Neural Networks with non-Ideal Signal Transmission

SSRN

引用

SSRN 2024年

作者： Fu, Pengju Xie, Yiyuan Su, Ye Ye, Yichen Chai, Junxiong Jiang, Xiao Yang, Hongyu College of Electronic and Information Engineering Southwest University Chongqing China Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Chongqing China Key Laboratory of Networks and Cloud Computing Security of Universities Chongqing China

Machine learning plays a significant role in various fields. As a fundamental part of machine learning, matrix operations are one of the most important computational parts of neural networks. However, the advancement of Moore’s law is hindered by limitations in the number and size of transistors on electronic chips. Therefore, the implementation of optical neural network (ONN) using photonic devices to accomplish matrix-vector multiplication (MVM) has attracted significant attention. Compared with traditional electrical on neural networks, ONN exhibits faster computational speed, higher parallel input capability and greater energy efficiency. Nevertheless, crosstalk and signal loss are inevitable characteristics in optical signal transmission, which can degrade the performance of ONN. In this paper, we present analysis models and simulations to assess the effects of crosstalk and loss on optical computing systems. We have observed that the accuracy of ONN degrades when crosstalk and loss are present. In severe cases, ONN is unable to complete the classification task. To mitigate the interference of crosstalk, we have designed a novel double-layer structure to reduce the number of optical devices required for signal transmission and optimize the impact of crosstalk on ONN performance. For the identical classification task, the ONN based on a double-layer structure exhibits better interference immunity than the generic ONN, with a 10% performance improvement. In particular, performance is improved by 50% when only crosstalk is considered. © 2024, The Authors. All rights reserved.

关键词： Crosstalk

来源：评论

学校读者我要写书评

暂无评论

Reliability Analysis of Optical Neural Networks with non-Ideal Signal Transmission

SSRN

引用

SSRN 2024年

作者： Xie, Yiyuan Fu, Pengju Su, Ye Ye, Yichen Chai, Junxiong Jiang, Xiao Yang, Hongyu College of Electronic and Information Engineering Southwest University Chongqing China Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Chongqing China Key Laboratory of Networks and Cloud Computing Security of Universities Chongqing China

关键词： Crosstalk

来源：评论

学校读者我要写书评

暂无评论

Distributed Optimization for Energy Allocation in Mictrogrid Power System

Distributed Optimization for Energy Allocation in Mictrogrid...

引用

IEEE International Conference on Cyber Technology in Automation, Control, and intelligent Systems

作者： Tiancai Wang Xing He Junjian Huang Miao Sun Yachen He Qin Huang Dongyang Feng Wenming Zhang Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Southwest University Chongqing China Key laboratory of Machine Perception and Children's Intelligence Development Chongqing University of Education Chongqing China

ISBN: (纸本)9781538604915

In this paper, a continuous-time distributed algorithms is proposed to solve the energy allocation problem in microgrid power system. Projected output feedback method is employed in the approach to deal with the local capacity constraints. Each agent in the multi-agent network has its own local objective function, local bound constraint and can access the information from the agent nearby. The agents determine the optimal power generation in the responsible area to minimize the sum of local generation cost function while reaching the global supply and demand balance. Also, the distributed method is applied to test on a six-agent system and the simulation result demonstrates that the algorithm proposed can successfully obtain the optimal power generation and the auxiliary variables of each generator agent can always reach consensus.

关键词： Generators Optimization Resource management Distributed algorithms Power generation Microgrids Smart grids

来源：评论

学校读者我要写书评

暂无评论

Event-Triggered Optimal Tracking Control for Strict-Feedback nonlinear Systems With non-Affine nonlinear Faults

arXiv

引用

arXiv 2024年

作者： Wang, Ling Wang, Xin Wang, Ziming Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing College of Electronic and Information Engineering Southwest University Chongqing400044 China Guangzhou Nansha511458 China

This article studies the control ideas of the optimal backstepping technique, proposing an event-triggered optimal tracking control scheme for a class of strict-feedback nonlinear systems with non-affine and nonlinear faults. A simplified identifier-critic-actor framework is employed in the reinforcement learning algorithm to achieve optimal control. The identifier estimates the unknown dynamic functions, the critic evaluates the system performance, and the actor implements control actions, enabling modeling and control of anonymous systems for achieving optimal control performance. In this paper, a simplified reinforcement learning algorithm is designed by deriving update rules from the negative gradient of a simple positive function related to the Hamilton-Jacobi-Bellman equation, and it also releases the stringent persistent excitation condition. Then, a fault-tolerant control method is developed by applying filtered signals for controller design. Additionally, to address communication resource reduction, an event-triggered mechanism is employed for designing the actual controller. Finally, the proposed scheme’s feasibility is validated through theoretical analysis and simulation. Copyright © 2024, The Authors. All rights reserved.

关键词： Backstepping

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：