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2022 Chinese Automation Congress, CAC 2022

作者： Gong, Hua Liu, Shasha Guan, Song Yu, Kuaikuai Liu, Fang College of Science Shengyang Ligong University Shenyang110159 China Science and Technology on Electro-Optical Information Security Control Laboratory Tianjing300308 China

ISBN: (纸本)9781665465335

In order to improve the recognition accuracy of small infrared targets in complex environment, a SyluInfrared dataset is built by taking multi-view infrared images with the Frock TiX600 infrared thermal imager. Seven image enhancement algorithms including image brightening, contrast adjustment, image blurring, image flipping and image scaling are designed to improve the image quality of small infrared targets. The YOLOv5 deep learning model is used to identify small infrared targets with multiple views to improve the recognition accuracy of small infrared targets. The experimental results show that the accuracy of multi-view infrared small target recognition model for YOLOv5 deep network is 97.7%, which is 6.6% higher than that of single-view infrared small target recognition model based on YOLOv5. The multi-view target recognition strategy significantly improves the infrared small target recognition performance. © 2022 IEEE.

关键词： Image enhancement

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Passive satellite localization using TDOA/FDOA/AOA measurements

Passive satellite localization using TDOA/FDOA/AOA measureme...

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IEEE Conference Anthology

作者： Yang Zheng Bin Wang Lei Chen Pei Qun Lu An Nan Science and Technology on Communication Information Security Control Laboratory Jiaxing Zhejiang China

Dual satellite TDOA/FDOA localization scheme has problems of multiple ambiguous solutions and poor localization results in the sub-satellite area along the dual satellite baseline direction. Passive localization using TDOA and FDOA measurements usually does not have direct solution and requires numerical methods to determine the emitter's geolocation. We suggest a satellite passive localization method fusing the TDOA/FDOA/AOA measurements based on particle swarm optimization(PSO), which provides an evolutionary computation method to solve the nonlinear optimal problem. To be more close to the practical use, the WGS-84 earth model is adopted in this work. However, PSO can not be directly applied to geolocation problem due to the nonlinear constraint of earth surface. We examined a PSO based method which let the particle swarm fly on the earth surface. Computer simulation results show the effectiveness of the new localization method.

关键词： Satellites Earth Frequency measurement Optimization Maximum likelihood estimation Particle swarm optimization

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Profiling and Identifying Users' Activities With Network Traffic Analysis

Profiling and Identifying Users' Activities With Network Tra...

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2015 6th IEEE International Conference on Software Engineering and Service science(ICSESS 2015)

作者： Ma Tao Ye Chun ming Chen Juan Science and Technology on Communication Information Security Control Laboratory Army Officer Academy

Traffic identification technique is used for classification of different network protocols and applications even with detection of users' network activities. In this paper, we conduct our study on some typical users' network activities and present a traffic identification method to describe the feature about users' behaviors. We convert users' network activities information into different sequences with frame size and interarrival time just like HMM model does. Then we use latent dirichlet allocation model to extract potential characterization from these activity sequences. We use some machine learning algorithms to classify different activities in the data, and we suggest a method to evaluate the mixed activities within a sequence. Our research shows that it is possible to distinguish exact users' on-line activities without inspection to packet payloads, and users' privacy may need more protection against traffic analysis.

关键词： User Activity Traffic Identification Privacy

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A New Important-Place Identification Method

A New Important-Place Identification Method

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2015 IEEE International Conference on Computer and communications(ICCC 2015)

作者： Chun-lai Ma Tao Ma Hong Shan Electronic Engineering Institute Science and Technology on Communication Information Security Control Laboratory

For the problem that the location of LBSN users was sparse because of it was updated sporadically. An important place identification method was studied by improving the clustering algorithm. Firstly, a velocity pruning algorithm was applied to remove interference points from source data. Secondly, clustering algorithm based on density peak named CFSFDP was selected. To solve the problem that it is unable to decide the cluster number with CFSFDP, an improved algorithm was presented. With a cluster center automatic choosing strategy, the algorithm searched for the ‘turning points' with the trends of cluster center weights changing. Then we could regard a set of points which weight is bigger than turning points' as cluster center. As a result, the error brought by ruling in the Decision Graph could be avoided with the strategy. Thirdly, reverse geocoding technology was applied to translate coordinate in semantic place. Check-in data of Foursquare user was set as an example in experiment, the result show that the improved algorithm had higher accuracy rate and lower computation compared to CFSFDP and DBSCAN. It also proved that the feasibility and effectiveness of the method proposed in the paper.

关键词： Velocity pruning Density based clustering Density peak Clustering center

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Automatic modulation classification based on statistical features and Support Vector Machine

Automatic modulation classification based on statistical fea...

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General Assembly and Scientific Symposium, URSI

作者： Weifeng Zhang Science and Technology on Communication Information Security Control Laboratory Jiaxing Zhejiang China

ISBN: (纸本)9781467352246

Automatic classification of the modulation format of a detected signal plays an important role in cognitive radio system and several military and civilian applications. Without previous knowledge of the received data, automatic modulation classification (AMC) becomes a difficult task. This paper discusses AMC of digital schemes which are commonly used in today's communication systems. Several statistical features are extracted to represent signals and Support Vector Machines (SVMs) are then applied to classify the unknown modulation schemes. Experiment results demonstrate that the proposed AMC algorithm is a practical algorithm and it has high robustness in a wide range of SNR.

关键词： Modulation Signal to noise ratio Feature extraction Support vector machines Classification algorithms Training Signal processing algorithms

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Interference Resource Scheduling Algorithm Based on Potential Game for UAV Cooperative Combat 21

Interference Resource Scheduling Algorithm Based on Potentia...

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21st IEEE International Conference on communication technology, ICCT 2021

作者： Deng, Min Wu, Zhigao Chen, Yongqi School of Automatic and Electronic Information Xiangtan University Hunan National Center for Applied Mathematics Xiangtan China School of Automatic and Electronic Information Xiangtan University Xiangtan China Science and Technology on Communication Information Security Control Laboratory Jiaxing China

ISBN: (纸本)9781665432061

Interference resource scheduling is crucial in UAV (unmanned aerial vehicle) cooperative combats of all scales. In view of the simple constraints of the existing scheduling models and their small-scale application situations, a resource scheduling model with constraint of the minimum number of jammed targets is proposed to maximize the benefit of interference and minimize the cost. The analytic hierarchy process is used to weight the indicators of benefit and cost. And the interference resource scheduling model is constructed by the game theory. Besides, the feasibility and existence of the Nash equilibrium are proved. Then, a potential game theory algorithm combined with the tabu algorithm was proposed to solve the interference resource allocation problem. The simulation results show that the designed interference resource scheduling algorithm can achieve higher integration benefit than the other compared algorithms with less iterations. © 2021 IEEE.

关键词： Game theory

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General Simultaneous Localization and Mapping Scheme for mmWave communication Systems

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IEEE Internet of Things Journal 2024年第12期11卷 22521-22536页

作者： Du, Tao Yang, Jie Wen, Chao-Kai Xia, Shuqiang Jin, Shi Southeast University National Mobile Communications Research Laboratory Nanjing210096 China Southeast University Key Laboratory Of Measurement And Control Of Complex Systems Of Engineering Ministry Of Education The Frontiers Science Center For Mobile Information Communication And Security Nanjing210096 China Institute Of Communications Engineering National Sun Yat-sen University Kaohsiung80424 Taiwan Zte Corporation The State Key Laboratory Of Mobile Network And Mobile Multimedia Technology Shenzhen518055 China Southeast University National Mobile Communications Research Laboratory The Frontiers Science Center For Mobile Information Communication And Security Nanjing210096 China

Utilizing high-resolution antenna arrays and wide bandwidth of the millimeter-wave (mmWave) spectrum in 5G new radio (NR) mmWave communication systems holds the potential for high-throughput data transmission while enabling user localization and environmental mapping. However, the majority of existing simultaneous localization and mapping (SLAM) algorithms rely on methods akin to the extended Kalman filter for generating initial map features. These methods prove ineffective when the measurement dimension is insufficient. Furthermore, there is a notable absence of research exploring mmWave prototype systems to evaluate and compare the performance and viability of various SLAM algorithms. To address these challenges, we propose an innovative probability hypothesis density (PHD) generation scheme for birth events and have developed a prototype system. Our approach, referred to as PHD-SLAM, exhibits remarkable effectiveness even in scenarios where the measurement dimension falls short of map features. This means it can function seamlessly with only delay or angle information available. Additionally, we have designed a 28GHz mmWave beam scanning prototype system that leverages the 5G NR frame for accomplishing SLAM algorithms. Following this, we conducted extensive simulations and experimental evaluations to gauge the performance of several leading-edge SLAM algorithms under diverse mmWave circumstances, encompassing PHD-based and belief propagation (BP) SLAM algorithms. Our analysis reveals that both PHD and BP SLAM can achieve agent localization precision within a decimeter and mapping precision within a meter, capitalizing on the angle parameters of mmWave signals. While BP SLAM showcases reduced computational demand, its estimation precision is marginally inferior to that of PHD-SLAM. © 2014 IEEE.

关键词： Belief propagation

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Improved cryptanalysis of step-reduced SM3

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science China(information sciences) 2018年第3期61卷 226-227页

作者： Yanzhao SHEN Dongxia BAI Hongbo YU Key Laboratory of Cryptologic Technology and Information Security Ministry of EducationShandong University School of Mathematics Shandong University Department of Computer Science and Technology Tsinghua University Science and Technology on Communication Security Laboratory

SM3 is the Chinese hash standard and is standardized in GB/T 32905-2016[1].As a hash function,it must fulfill three security requirements,collision resistance,preimage resistance,and second preimage *** the ongoing ev... 详细信息

关键词： CF In SM Improved cryptanalysis of step-reduced SM3

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Interval Type-2 Fuzzy Hierarchical Adaptive Cruise Following-control for Intelligent Vehicles

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IEEE/CAA Journal of Automatica Sinica 2022年第9期9卷 1658-1672页

作者： Hong Mo Yinghui Meng Fei-Yue Wang Dongrui Wu the College of Electric and Information Engineering Changsha University of Science and TechnologyChangsha 410114China the State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190 Qingdao Academy of Intelligent Industries Qingda 266109 the Center of China Economic and Social Security University of Chinese Academy of SciencesBeijing 100190China the Ministry of Education Key Laboratory on Image Information Processing and Intelligent Control the School of Artificial Intelligence and AutomationHuazhong University of Science and TechnologyWuhan 430074China

Intelligent vehicles can effectively improve traffic congestion and road traffic *** cruise followingcontrol(ACFC)is a vital part of intelligent *** this paper,a new hierarchical vehicle-following control strategy is presented by synthesizing the variable time headway model,type-2 fuzzy control,feedforward+fuzzy proportion integration(PI)feedback(F+FPIF)control,and inverse longitudinal dynamics model of ***,a traditional variable time headway model is improved considering the acceleration of the lead ***,an interval type-2 fuzzy logic controller(IT2 FLC)is designed for the upper structure of the ACFC system to simulate the driver's operating *** reduce the nonlinear influence and improve the tracking accuracy for the desired acceleration,the control strategy of F+FPIF is given for the lower control ***,the lower control method proposed in this paper is compared with the fuzzy PI control and the traditional method(no lower controller for tracking desired acceleration)***,the proportion integration differentiation(PID),linear quadratic regulator(LQR),subsection function control(SFC)and type-1 fuzzy logic control(T1 FLC)are respectively compared with the IT2 FLC in control performance under different ***,the simulation results show the effectiveness of IT2 FLC for the upper structure and F+FPIF control for the lower structure.

关键词： Adaptive cruise following-control(ACFC) feedforward+fuzzy proportion integration(PI)feedback(F+FPIF) type-2 fuzzy control variable time headway

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Infrared Target Detection Based on the Fusion of Mask R-CNN and Image Enhancement Network

Infrared Target Detection Based on the Fusion of Mask R-CNN ...

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2022 Chinese Automation Congress, CAC 2022

作者： Liu, Fang Guan, Song Yu, Kuaikuai Gong, Hua Shengyang Ligong University College of Science Shenyang110159 China Science and Technology on Electro-Optical Information Security Control Laboratory Tianjing300308 China

ISBN: (纸本)9781665465335

In this paper, we focus on the problem of the infrared image detection. Aiming at the problem of the low contrast of the infrared images, an adaptive gamma transformation algorithm (AGT) is established to intelligently improve the contrast of the infrared images. Aiming at the problem of the weak edge information of the infrared images, an improved Sobel operator edge enhancement algorithm (ISOEE) is designed to enrich the edge features of the infrared images. In order to solve the problem that the traditional infrared image detection algorithm relies on expert experience, the fusion infrared images detection model AIE-Mask R-CNN based on Mask R-CNN, AGT algorithm and ISOEE algorithm is proposed. This fusion model can realize accurate and intelligent detection for the infrared images. The experimental results show that the fusion model AIE-Mask R-CNN improves the detection accuracy of the infrared images. © 2022 IEEE.

关键词： Edge detection

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