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作者： Zhang, Liang Huang, Lei Li, Bo Yin, Jingwei Bao, Weimin School of Information and Control Engineering China University of Mining and Technology Xuzhou221116 China Guangdong Key Laboratory of Intelligent Information Processing College of Electronics and Information Engineering Shenzhen University Shenzhen518060 China Nuance Communication Inc. MontrealQCH3A 3S7 Canada Key Laboratory of Marine Information Acquisition and Security Ministry of Industry and Information Technology Harbin150001 China Science and Technology Council China Aerospace Science and Technology Cooperation Beijing100048 China College of Electronics and Information Engineering Shenzhen University Shenzhen518060 China College of Underwater Acoustic Engineering Harbin Engineering University Harbin150001 China

Compressive sensing (CS) has been widely used in vehicular technology including compressive spectrum sensing, sparse channel estimation, and vehicular communications. The complete procedure of CS consists of sparse representation, sparse measurement, and sparse recovery. In the CS, measurement matrix Φ is utilized to sample a sparse signal, while sensing matrix Ψ is exploited for sparse recovery. It is important to properly design the sensing matrix that significantly affects the signal recovery performance. This paper addresses the issue of the sensing matrix design for the CS with multiple measurement vectors (MMV). We first study sufficient conditions for the MMV-CS and then develop three sensing matrix design approaches in different situations. The proposed methods have their roots in the principle of minimum variance distortionless response (MVDR) beamformer. This allows us to optimally determine the sensing matrix in the framework of the MVDR, which amounts to minimizing local cumulative cross-coherence between Φ and Ψ while keeping the columns of Ψ highly correlated to their counterparts of Φ. Simulation results are presented to verify the effectiveness of the proposed methods. © 1967-2012 IEEE.

关键词： Compressed sensing

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Conflict Detection of Device Linkage Rules in Smart Home Systems

Conflict Detection of Device Linkage Rules in Smart Home Sys...

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Chinese Automation Congress (CAC)

作者： Ye Fu Daojuan Zhang Chonghua Wang Xi Luo Wenxin Liu Tianjie Luo Fuyang Fang Cyber space Institute of Advanced Technology Guangzhou University Guangzhou China State Grid Key Laboratory of Information&Network Security Global Energy Interconnection Research Institute co. Ltd Beijing China China Industrial Control Systems Cyber Emergency Response Team Beijing China Information Science Academy China Electronics Technology Group Corporation Beijing China

ISBN: (数字)9781728176871

ISBN: (纸本)9781728176888

With the increasing types and functions of smart home devices, due to the lack of experience of users, they may cause unexpected errors and risks when configuring a large number of device linkage *** response to the above problems, in this paper, we propose an efficient conflict detection method to avoid unexpected ***, to reduce the complexity of subsequent rule conflict detection, we divide each rule into five categories according to its functions and characteristics. At the same time, we configure the priority, user rights, and execution area for each rule. Second, we filter out the rules of the same priority, user rights, and execution area. Third, we define five types of rule conflicts. Finally, the conflict detection algorithm is used to determine whether the filtered rules conflict with the rules in the corresponding database. We have created 379 non-conflicting rules in each type of rule storage database to detect whether the newly created rules conflict with them. Through experimental comparison, we find that our approach has more advantages than previous work in terms of performance and conflict detection types.

关键词： Couplings Actuators Smart homes Sensors Databases security Data mining

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Weighted Linear Multiple Kernel Learning for Saliency Detection 2nd

Weighted Linear Multiple Kernel Learning for Saliency Detect...

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2nd EAI International Conference on Robotic Sensor Networks, ROSENET 2018

作者： Zhou, Quan Wu, Jinwen Fan, Yawen Zhang, Suofei Wu, Xiaofu Zheng, Baoyu Jin, Xin Lu, Huimin Latecki, Longin Jan National Engineering Research Center of Communications and Networking Nanjing University of Posts and Telecommunications Nanjing China State Key Laboratory for Novel Software Technology Nanjing University Nanjing China College of Information Engineering China University of Geosciences Wuhan China School of Internet of Things Nanjing University of Posts and Telecommunications Nanjing China National Engineering Research Center of Communications and Networking Nanjing University of Posts and Telecommunications Nanjing China Department of Cyber Security Beijing Electronic Science and Technology Institute Beijing China CETC Big Data Research Institute Co. Ltd. Guizhou Guiyang China Department of Mechanical and Control Engineering Kyushu Institute of Technology Kitakyushu Japan Department of Computer and Information Sciences Temple University PhiladelphiaPA United States

ISBN: (纸本)9783030177621

This paper presents a novel saliency detection method based on weighted linear multiple kernel learning (WLMKL), which is able to adaptively combine different contrast measurements in a supervised manner. Three commonly used bottom-up visual saliency operations are first introduced, including corner-surround contrast (CSC), center-surround contrast (CESC), and global contrast (GC). Then these contrast measures are fed into our WLMKL framework to produce the final saliency map. We show that the assigned weights for each contrast feature maps are always normalized in our WLMKL formulation. In addition, the proposed approach benefits from the advantages of the contribution of each individual contrast operation, and thus produces more robust and accurate saliency maps. The extensive experimental results show the effectiveness of the proposed model, and demonstrate the combination is superior to individual subcomponent. © 2020, Springer science and Business Media Deutschland GmbH. All rights reserved.

关键词： Center-surround contrast Corner-surround contrast Global contrast Multiple kernel learning Saliency detection

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A Novel Threat Sensing Architecture for Heterogeneous Cognitive Sensor Networks

A Novel Threat Sensing Architecture for Heterogeneous Cognit...

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Signal, information and Data Processing (ICSIDP), IEEE International Conference on

作者： Yongji Ren Yun Zhang Zheng Zhou Xiaofeng Xu Xiaolei Liu Naval Aviation University Yantai China Science and Technology on Communication Information Security Control Laboratory Jiaxing China Yantai Vocational College Yantai China

ISBN: (数字)9781728123455

ISBN: (纸本)9781728123462

With the rapid development and application of novel network information technologies, the various radar and/or communication transmitters have become more intelligent and networked in modern electromagnetic operational environment, which causes the threat sensing architecture of traditional electronic warfare system more inadequate, especially encountering unknown threat signals or networked targets. In this case, the threat sensing becomes one of the biggest challenges that the traditional electronic warfare system is facing. Therefore, this paper proposed a novel heterogeneous architecture for cognitive sensor networks to facilitate efficient threat sensing. To deal with the heterogeneous problem of cognitive sensor networks, multiple constraints satisfaction based approach has been employed. And the game based resources scheduling scheme has been utilized to facilitate the efficiency. To the best of our knowledge, our work is the first one that introduces the heterogeneous cognitive architecture into threat sensing domain of electronic warfare system. The simulation results show the proposed novel threat sensing architecture for heterogeneous cognitive sensor networks is feasible and effective.

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Modulation Recognition of Composite Signal Based on ResNet and Frequency Domain Graph

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Journal of Physics: Conference Series 2021年第1期2025卷

作者： Lijun Wang Yu Han Hongfang Ge Yongkuan Zhao Lei Shen Science and Technology on Communication Information Security Control Laboratory Jiaxing China The 36th Research Institute of China Electronics Technology Group Corporation Jiaxing China School of Communication Engineering Hangzhou Dianzi University Hangzhou China

Aiming at the problem of composite signal recognition in measurement and control system, a modulation recognition method of composite signal is proposed based on clipped internal modulation signal frequency image and residual network. Residual network has the advantages of fast convergence and high recognition accuracy, which is used to realize the recognition of different modulation modes and different bandwidth signals. The experimental results show that, compared with the traditional decision tree algorithm and the constellation based CNN recognition algorithm, the recognition performance of the proposed method is improved by more than 3dB for the variable bandwidth composite modulation signal set (BPSK-FM and QPSK-FM with internal modulation bandwidth of 128kHz, BPSK-FM and QPSK-FM with internal modulation bandwidth of 2kHz and 2FSK-FM with internal modulation bandwidth of 32kHz and 2kHz).

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Observation and analysis of atmospheric volatile organic compounds in a typical petrochemical area in Yangtze River Delta, China

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Journal of Environmental sciences 2018年第9期30卷 233-248页

作者： Yunchen Zhang Rui Li Hongbo Fu Dong Zhou Jianmin Chen Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention Department of Environmental Science & Engineering Fudan University Shanghai 200433 China Shanghai Institute of Pollution Control and Ecological Security Shanghai 200092 China Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET) Nanjing University of Information Science and Technology Nanjing 210044 China

Volatile organic compounds （VOCs） are a kind of important precursors for ozone photochemical formation. In this study, VOCs were measured from November 5th, 2013 to January 6th, 2014 at the Second Jinshan Industrial Area, Shanghai, China. The results showed that the measured VOCs were dominated by alkanes （41.8%）, followed by aromatics （20.1%）, alkenes （17.9%）, and halo-hydrocarbons （12.5%）. The daily trend of the VOC concentration showed a bimodal feature due to the rush-hour traffic in the morning and at nightfall. Based on the VOC concentration, a receptor model of Positive Matrix Factorization （PMF） coupled with the information related to VOC sources was applied to identify the major VOC emissions. The result showed five major VOC sources： solvent use and industrial processes were responsible for about 30% of the ambient VOCs, followed by rubber chemical industrial emissions （23%）, refinery and petrochemical industrial emissions （21%）, fuel evaporations （13%） and vehicular emissions （13%）. The contribution of generalized industrial emissions was about 74% and significantly higher than that made by vehicle exhaust. Using a propylene-equivalent method, alkenes displayed the highest concentra-tion, followed by aromatics and alkanes. Based on a maximum incremental reactivity （MIR） method, the average hourly ozone formation potential （OFP） of VOCs is 220.49 ppbv. The most significant source for ozone chemical formation was identified to be rubber chemical industrial emissions, following one by vehicular emission. The data shown herein may provide useful information to develop effective VOC pollution control strategies in industrialized area.

关键词： VOCs PMF Emission sources Photochemical reactivity MIR OFP

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The Method to Recognize Linear Block Code Based on the Distribution of Code Weight 10

The Method to Recognize Linear Block Code Based on the Distr...

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10th International Conference on Communication Software and Networks, ICCSN 2018

作者： Lei, Wang Yizhou, Ge Fucai, Zhao Yong, Wang Science and Technology on Communication Information Security Control Laboratory Jiaxing China Key Laboratory of Electronic Restriction Anhui Province National University of Defense Technology Hefei China

ISBN: (纸本)9781538672235

The definition and matrix description of linear cyclic code is introduced in this paper first. Then the distribution of code weight is analyzed. The distance of code weight distribution is defined according to distance of vectors. The theoretic probability of code weight of random sequence is ratiocinated. The method to estimate code weight distribution of actual sequence is established. The code length and start are estimated by the distance between the code weight distribution and the check matrix and generation matrix are estimated by Gauss Elimination. The results of simulating experiment to different length code show that this method can recognize code with middle and short code length effectively when BER is 10-3. © 2018 IEEE.

关键词： Matrix algebra

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Experimental Research on Blind Adaptive Multiuser Detection Algorithm with Different Carrier Frequencies and Severe Overlapping Interference of Spectra

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Binggong Xuebao/Acta Armamentarii 2019年第2期40卷 353-360页

作者： Ge, Wei Yin, Jingwei Yang, Guang Zheng, Maochun Li, Enyu Acoustic science and Technology Laboratory Harbin Engineering University HarbinHeilongjiang150001 China Key Laboratory of Marine Information Acquisition and Security of Ministry of Industry and Information Technology Harbin Engineering University HarbinHeilongjiang150001 China College of Underwater Acoustic Engineering Harbin Engineering University HarbinHeilongjiang150001 China School of Information and Control Engineering Qingdao University of Technology QingdaoShandong266000 China

The carrier frequencies of the interfering users may be inconsistent with those of the expected users when mobile multiuser underwater acoustic communications occur. A blind adaptive multiuser detection(BAMUD)algorithm for carrier frequency inconsistency is proposed for the multiple access interference (MAI) problem produced by inconsistent carrier frequencies in mobile multiuser underwater acoustic communications. The multi-path interference (inter-symbol interference) can be viewed as MAI using virtual user technology, that is, the channel equalization link and the MAI suppression link are combined into one link in the multiuser underwater acoustic communication system, simplifying the communication system structure. The MAI suppression characteristic of Kalman filter-based BAMUD(KF-BAMUD)algorithm, that is, the optimal estimation characteristic of KF under the minimum mean square error criterion, is used to suppress the virtual MAI with different carrier frequencies, the transmission data of the expected user is effectively estimated, thus realizing multiuser communication. A series of multi-user communication experiments under inconsistent carrier frequencies were conducted in Bohai Sea and during its ice period, and the good experimental results have verified the effectiveness of the proposed algorithm. © 2019, Editorial Board of Acta Armamentarii. All right reserved.

关键词： Multiple access interference

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Traffic Analysis of a Networks based on Stochastic Geometry to Exclude Malice Flow 2

Traffic Analysis of a Networks based on Stochastic Geometry ...

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2018 2nd Annual International Conference on Cloud technology and Communication Engineering, CTCE 2018

作者： Dai, Jiahao Xu, Xiaofeng Science and Technology on Communication Information Security Control Laboratory China Electronic Group Corporation No.36 Institute Zhejiang Jiaxing China

Based on stochastic geometry, this paper proposes a mathematical method to estimate the traffic in a D2D based cellular network. The purpose is to determine the normal flow of network to exclude heterogeneous Darknet flow (Tor network). Different from previous work, we assume there are two different kinds of receivers, cellular receivers and D2D receivers, each D2D receiver with its D2D trunking constitutes a D2D pair. We assume that the traffic can be generated in the transmission between a BS and a cellular receiver and that between a D2D trunking and a D2D receiver if and only if the received power is larger than a threshold and the rate in the transmission is above a specified rate. The framework is tractable and able to help us analyze how different parameters influence the network traffic. What's more, we can give the optimal scheme to achieve the maximal network traffic. At the same time, if the results calculated by this paper proposed or traditional formula is not matched, we think that the flow rate may be heterogeneous traffic, such as darknet flow(Tor). © Published under licence by IOP Publishing Ltd.

关键词： Geometry

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Research on performance analysis and optimization methods of bistatic collaborative detection 13

Research on performance analysis and optimization methods of...

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13th ACM International Conference on Underwater Networks and Systems, WUWNet 2018

作者： Guo, Longxiang Zhou, Qing Liu, Ting Zou, Jiayun Sheng, Xueli Science and Technology on Communication Information Security Control Laboratory JiaxingZhejiang China College of Underwater Acoustic Engineering Acoustic Science and Technology Laboratory Harbin Engineering University HarbinHeilongjiang China

ISBN: (纸本)9781450361934

Compared with the monostatic sonar system, the bistatic sonar system has numerous advantages, such as being quick and flexible to deploy, utilizing strong concealment, and having a large detection range. The detection performance analysis system, which consists of the sound source and propagation loss level, the interfering noise level, the marine reverberation average strength level, and the target echo sound level, was established in this study. Aiming at a specified area, this study realizes a performance analysis based on the detection probabilities of targets in different locations. In terms of detection performance, the bistatic sonar system especially faces considerable direct wave interference. Therefore, a method for restraining direct wave interference based on zero constraint beam-forming was developed. This method can mitigate the both narrow-band and broadband direct wave interference problems. Another method based on space timeadaptive processingwas also developed. This method can also solve direct wave interference problem. Using the above performance analysis system, considering the influence of strong direct wave interference, the detection range can increase 35% by using the zero constraint beam-forming method, thus further enhancing the detection performance. © 2018 Association for Computing Machinery.

关键词： Sonar

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