检索结果-内蒙古大学图书馆

International Conference on information Science and Technology (ICIST)

作者： Xiupin Lv Nankun Mu Xiaofeng Liao The Chongqing Key Laboratory of Nonlinear Circuits Southwest University Intelligent Information Processing Chongqing P. R. China

This paper proposes a new algorithm of generating pseudo-random numbers where delay coupled map lattice is utilized as a pseudo-random function. k-order Chebyshev map embedded time-varying delay is introduced as the dynamic function of delay coupled map lattice to improve random performance of the system. The proposed pseudo-random number generator is subjected to statistical tests which is the well-known NIST 800-22 and TestU01 test in the field of security and other related properties are also investigated. The result shows that the proposed pseudo-random number generator holds better pseudo-random characteristics and suggests strong candidate for cryptographic applications.

关键词： Delays Lattices Generators Entropy Complexity theory Heuristic algorithms Distribution functions

来源：评论

学校读者我要写书评

暂无评论

The Effect of Long-Term Apnea on the Autonomic Nervous System

The Effect of Long-Term Apnea on the Autonomic Nervous Syste...

引用

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

作者： Fanmeng Kong Wanhui Wen Guangyuan Liu Xuehong Yang Ronglong Xiong School of Electronic and Information Engineering Southwest University Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Processing acceptable Chongqing China

The complexity of physiological system can be well represented by the complexity of time series. In this paper, complexity analysis was performed on the inter-beat-interval(IBI) of apnea syndrome and normal sleep population. Hurst exponent, sample entropy and fractal dimension were used as three indicators of complexity measurement. The results show that optimal combination of statistical and nonlinear features with the Support Vector Machine (SVM) can achieve the apnea recognition accuracy of up to 75.51%. In the complexity measurement, t-test shows that the average of Hurst exponent, sample entropy or fractal dimension of the normal sleep group was significantly larger than that of the apnea group. The results show that long-term apnea syndrome will cause certain damage to the autonomic nerve system.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Neurodynamics-based Iteratively Reweighted Convex Optimization for Sparse Signal Reconstruction 12

Neurodynamics-based Iteratively Reweighted Convex Optimizati...

引用

12th International Conference on information Science and Technology, ICIST 2022

作者： Che, Hangjun Wang, Jun Cichocki, Andrzej College of Electronic and Information Engineering Southwest University Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Chongqing400715 China City University of Hong Kong Department of Computer Science and School of Data Science Hong Kong Hong Kong Skolkovo Institute of Science and Technology Moscow143026 Russia

ISBN: (数字)9781665485821

ISBN: (纸本)9781665485821

In this paper, sparse signal reconstruction is for-mulated a q-ratio minimization problem subjecting to linear underdetermined equations. In view of the nonconvexity of the objective function, the q-ratio formulation with q=2 is approximately reformulated as an iteratively reweighted convex optimization problem in the majorization-minimization frame-work. A neurodynamic optimization approach is introduced to solve the formulated problem iteratively. The experimental results on sparse signal reconstruction are discussed to demonstrate the performance of the proposed approach. © 2022 IEEE.

关键词： Convex optimization

来源：评论

学校读者我要写书评

暂无评论

Thermal face recognition using convolutional neural network

Thermal face recognition using convolutional neural network

引用

International Conference on Optoelectronics and Image processing (ICOIP)

作者： Zhan Wu Min Peng Tong Chen School of Electronic and Information Engineering Southwest University Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Southwest University Chongqing China

ISBN: (纸本)9781509008810

With the rapidly development of the face recognition (FR), thermal face recognition has received increasing attention. However, the traditional methods for thermal face recognition mainly concentrate on the hand-crafted feature design, which requires more efforts from human to select and extract features and usually has relatively lower recognition rate. In this paper, we present a convolutional neural network (CNN) architecture for thermal face recognition. CNN is a new type of neural network method which can automatically learn effective features from the raw data. Experiment results on RGB-D-T face database show that our proposed CNN architecture achieves higher recognition rate compared with the traditional recognition such as LBP, HOG and moments invariant.

关键词： Face recognition Convolution Feature extraction Face Artificial neural networks

来源：评论

学校读者我要写书评

暂无评论

Cross-Subject Emotion Recognition with a Decision Tree Classifier Based on Sequential Backward Selection

Cross-Subject Emotion Recognition with a Decision Tree Class...

引用

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

Secrecy Performance Analysis with Optimal DF Relay Selection of Underlay CR Networks over Nakagami-m Fading Channels

Secrecy Performance Analysis with Optimal DF Relay Selection...

引用

IEEE International Conference on Communications

作者： Huan Zhang Hongjiang Lei Imran Shafique Ansari Gaofeng Pan Zhi Ren Khalid A. Qaraqe Chongqing University of Posts and Telecommunications Chongqing Chongqing CN Department of Electrical and Computer Engineering Texas A&M University at Qatar Education City Doha Qatar Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Southwest University Chongqing China

ISBN: (纸本)9781467390002

In this paper, the secrecy outage performance of an underlay cognitive decode-and-forward (DF) relay network over independent and non-identical distributed (i.n.i.d) Nakagami-m fading channels is investigated, in which the secondary user transmitter communicates with the secondary destination via relays, and an eavesdropper attempts to overhear the information. We assume that the channel state information (CSI) of all links is available. The exact and asymptotic closed-form expressions for the secrecy outage probability with optimal relay selection are derived, and verified by Monte-Carlo simulations. Through asymptotic analysis, we find that the secrecy diversity order is determined by the number of relays and the fading parameters between relay and destination.

关键词： Relays Fading channels Cognitive radio Wireless sensor networks Communication system security Decoding

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

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

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

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

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：