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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Dayong Wang Chao Yuan Yu Sun Xin Lu Hui Guo Frederic Dufaux Ce Zhu Key Laboratory of Big Data Intelligent Computing Chongqing University of Posts and Telecommunications Guangxi Key Laboratory of Machine Vision and Intelligent Control Wuzhou University Chongqing Key Laboratory of Image Cognition Chongqing University of Posts and Telecommunications China Department of Computer Science University of Central Arkansas Faculty of Computing Engineering and Media (CEM) De Montfort University UK Université Paris-Saclay CNRS CentraleSupélec Laboratoire Des Signaux et Systèmes France School of Information and Communication Engineering University of Electronic Science and Technology of China

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Rate control is a critical component for image and video compression Particularly under limited network bandwidth conditions, bitrate control is essential to ensure efficient image transmission by effectively allocation channel resources. In this research, since both Channel and Spatial have relationship with rate allocation, we first propose a joint Channel-wise and Spatial-wise Quantization scheme to determine optimal quantization parameters. Subsequently, we develop a quantization step estimation network to obtain parameters to efficiently allocate rate according to target rate. Experiments demonstrate that our algorithm significantly improve compressed image quality with minimal bitrate distortion and achieve accurate rate control with nearly 3% average bitrate error.

关键词： Image quality Quantization (signal) Image coding Bit rate Signal processing algorithms Estimation Rate-distortion Video compression Resource management Speech processing

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Software design for high-speed data capture

Software design for high-speed data capture

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2014 2nd International Conference on Mechatronics, Robotics and Automation, ICMRA 2014

作者： Zhang, Wei Feng Science and Technology on Communication Information Security Control Laboratory Jiangnan Electronic Communication Institute Jiaxing Zhejiang China

ISBN: (纸本)9783038350781

10G Ethernet technology has been widely used in modern high speed communication system. As a result, program design for high-speed data capture on 10G Ethernet, as the first and important step in network monitor and analysis system, has become a challenging task. This paper proposed a high-speed data capture method based on WinCap and shared memory pool technology and has features of high speed, low packet loss rate, high efficiency and good portability. The system test and data analysis proved that the proposed method in this paper can effectively capture the data at speed of 6Gbps and stably keep the packet loss rate under 0.03%. © (2014) Trans Tech Publications, Switzerland.

关键词： Data acquisition

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Sub-Sample High-Resolution TOA Estimation Algorithm for LTE Downlink 9

Sub-Sample High-Resolution TOA Estimation Algorithm for LTE ...

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2017 9th IEEE International Conference on communication Software and Networks (ICCSN 2017)

作者： Huijie Zhu Jiawei Zhu Bin Jiang Science and Technology on Communication Information Security Control Laboratory No. 36 Research Institute of China Electronics Technology Group Corporation

ISBN: (纸本)9781509038237;9781509038220

This paper presents a novel super-resolution time of arrive(TOA) estimation algorithm, which utilizes the primary synchronization signal(PSS) in LTE downlink. Unlike the conventional coherent detection algorithm with sample-level estimation accuracy, the proposed algorithm fully takes advantage of phase characteristic of the sampled orthogonal frequency division multiplexing(OFDM) signal to reach subsample resolution accuracy without increasing sampling frequency. With a number of simulation experiments, the efficacy of the proposed TOA estimation algorithm is validated by numerical results. The different performance shown in additive white Gaussian noise(AWGN) channel and fading channel indicates that this algorithm can be used in open environment or indoors with high-precision positioning requirements.

关键词： component LTE TOA estimation algorithm OFDM

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Cognitive radio adaptation for power consumption minimization using biogeography-based optimization

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Chinese Physics B 2016年第12期25卷 499-506页

作者：齐佩汉郑仕链杨小牛赵知劲 School of Telecommunications Engineering Xidian University Xi'an 710071 China Science and Technology on Communication Information Security Control Laboratory Jiaxing 314033 China School of Telecommunications Hangzhou Dianzi University Hangzhou 310018 China

Adaptation is one of the key capabilities of cognitive radio, which focuses on how to adjust the radio parameters to optimize the system performance based on the knowledge of the radio environment and its capability and characteristics. In this paper, we consider the cognitive radio adaptation problem for power consumption minimization. The problem is formulated as a constrained power consumption minimization problem, and the biogeography-based optimization （BBO） is introduced to solve this optimization problem. A novel habitat suitability index （HSI） evaluation mechanism is proposed, in which both the power consumption minimization objective and the quality of services （QoS） constraints are taken into account. The results show that under different QoS requirement settings corresponding to different types of services, the algorithm can minimize power consumption while still maintaining the QoS requirements. Comparison with particle swarm optimization （PSO） and cat swarm optimization （CSO） reveals that BBO works better, especially at the early stage of the search, which means that the BBO is a better choice for real-time applications.

关键词： cognitive radio power consumption adaptation optimization

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Uplink control information Based Clustered Access and Discontinuous Reception Management for mMTC

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IEEE communications Letters 2025年

作者： Wang, Shao-Di Wang, Chang-Long Wang, Hui-Ming Zhou, Feng Leung, Victor C. M. Xidian University Key Laboratory of Electronic Information Countermeasure and Simulation Technology of Ministry of Education Xi’an710071 China Xi’an Jiaotong University School of Information and Communication Engineering Ministry of Education Key Lab for Intelligent Networks and Network Security Xi’an710049 China Shenzhen MSU BIT University Artificial Intelligence Research Institute Shenzhen518172 China Shenzhen University College of Computer Science and Software Engineering Shenzhen518060 China The University of British Columbia Department of Electrical and Computer Engineering VancouverBCV6T 1Z4 Canada

Uplink control information (UCI) and discontinuous reception (DRX) play important roles for massive machine type communication (mMTC). Despite their standalone significance, a conspicuous gap exists in comprehensively exploring the synergy between UCI and DRX concerning both energy conservation and latency reduction for mMTC. In this letter, we propose a UCI-based clustered access and DRX management (UCADM) scheme that strikes a balance between these two critical performance metrics, reducing energy usage while preserving low latency in uplink-downlink interaction for mMTC. Specifically, we present a strictly feasible solution for the proposed UCADM scheme by using the spectral radius and the constraint projection, which can effectively solve DRX switching operations as indicated by scheduling information from UCI. Simulation results confirm the effectiveness of our scheme. © 1997-2012 IEEE.

关键词： information management

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An Integration Testing Framework and Evaluation Metric for Vulnerability Mining Methods

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China communications 2018年第2期15卷 190-208页

作者： Jin Li Jinfu Chen Minhuan Huang Minmin Zhou Wanggen Xie Zhifeng Zeng Shujie Chen Zufa Zhang National key laboratory of science and technology on information system security Beijing institute of system engineering School of Computer Science and Communication Engineering Jiangsu University

Software an important way to vulnerability mining is detect whether there are some loopholes existing in the software, and also is an important way to ensure the secu- rity of information systems. With the rapid development of information technology and software industry, most of the software has not been rigorously tested before being put in use, so that the hidden vulnerabilities in software will be exploited by the attackers. Therefore, it is of great significance for us to actively de- tect the software vulnerabilities in the security maintenance of information systems. In this paper, we firstly studied some of the common- ly used vulnerability detection methods and detection tools, and analyzed the advantages and disadvantages of each method in different scenarios. Secondly, we designed a set of eval- uation criteria for different mining methods in the loopholes evaluation. Thirdly, we also proposed and designed an integration testing framework, on which we can test the typical static analysis methods and dynamic mining methods as well as make the comparison, so that we can obtain an intuitive comparative analysis for the experimental results. Final- ly, we reported the experimental analysis to verify the feasibility and effectiveness of the proposed evaluation method and the testingframework, with the results showing that the final test results will serve as a form of guid- ance to aid the selection of the most appropri- ate and effective method or tools in vulnera- bility detection activity.

关键词： software vulnerability detection loopholes information security evaluationmethod testing framework

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Generative Adversarial Network-Based Electromagnetic Signal Classification: A Semi- Supervised Learning Framework

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China communications 2020年第10期17卷 157-169页

作者： Huaji Zhou Licheng Jiao Shilian Zheng Lifeng Yang Weiguo Shen Xiaoniu Yang Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education School of Artificial IntelligenceXidian UniversityXi'an 710071China Science and Technology on Communication Information Security Control Laboratory Jiaxing 314033China

Generative adversarial network(GAN)has achieved great success in many fields such as computer vision,speech processing,and natural language processing,because of its powerful capabilities for generating realistic *** this paper,we introduce GAN into the field of electromagnetic signal classification(ESC).ESC plays an important role in both military and civilian ***,in many specific scenarios,we can’t obtain enough labeled data,which cause failure of deep learning methods because they are easy to fall into ***,semi-supervised learning(SSL)can leverage the large amount of unlabeled data to enhance the classification performance of classifiers,especially in scenarios with limited amount of labeled *** present an SSL framework by incorporating GAN,which can directly process the raw in-phase and quadrature(IQ)signal *** to the characteristics of the electromagnetic signal,we propose a weighted loss function,leading to an effective classifier to realize the end-to-end classification of the electromagnetic *** validate the proposed method on both public RML2016.04c dataset and real-world Aircraft communications Addressing and Reporting System(ACARS)signal *** experimental results show that the proposed framework obtains a significant increase in classification accuracy compared with the state-of-the-art studies.

关键词： generative adversarial network semi-supervised learning electromagnetic signal classification end-to-end classification weighted loss function

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Fast Fourier single-pixel imaging based on Sierra–Lite dithering algorithm

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Chinese Physics B 2019年第6期28卷 189-194页

作者： Zhen-Yu Liang Zheng-Dong Cheng Yan-Yan Liu Kuai-Kuai Yu Yang-Di Hu National University of Defense Technology State Key Laboratory of Pulsed Power Laser TechnologyHefei 230037China Science and Technology on Electro-Optical Information Security Control Laboratory Tianjin 300000China

The single-pixel imaging(SPI) technique is able to capture two-dimensional(2 D) images without conventional array sensors by using a photodiode. As a novel scheme, Fourier single-pixel imaging(FSI) has been proven capable of reconstructing high-quality images. Due to the fact that the Fourier basis patterns(also known as grayscale sinusoidal patterns)cannot be well displayed on the digital micromirror device(DMD), a fast FSI system is proposed to solve this problem by binarizing Fourier pattern through a dithering algorithm. However, the traditional dithering algorithm leads to low quality as the extra noise is inevitably induced in the reconstructed images. In this paper, we report a better dithering algorithm to binarize Fourier pattern, which utilizes the Sierra–Lite kernel function by a serpentine scanning method. Numerical simulation and experiment demonstrate that the proposed algorithm is able to achieve higher quality under different sampling ratios.

关键词： single-pixel imaging binary Fourier basis pattern the dithering algorithm

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MILP-aided bit-based division property for ARX ciphers

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science China(information sciences) 2018年第11期61卷 229-231页

作者： Ling SUN Wei WANG Ru LIU Meiqin WANG Key Laboratory of Cryptologic Technology and Information Security Ministry of EducationShandong University Science and Technology on Communication Security Laboratory No.30 Research Institute of China Electronics Technology Group Corporation State Key Laboratory of Cryptology

Division property, which was proposed by Todo [1]at EUROCRYPT 2015, is a new technique to detect integral property. It could explicitly depict the hidden properties between the traditional ALL and BALANCE properties in integral cryptanalysis [2], which made it an effective method to search integral distinguishers. The definition is given as follows.

关键词： MILP-aided bit-based division property for ARX ciphers ARX

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Energy-Efficient Trajectory Design and Unsupervised Clustering for UAV-Aided Fair Data Collections with Dense Ground Users

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IEEE Internet of Things Journal 2025年

作者： Song, Dan Zhai, Xiangping Bryce Liu, Xin Liu, Zhiquan Tan, Chee Wei Li, Congduan Sun Yat-sen University School of Electronics and Communication Engineering Shenzhen518107 China Huangpu Customs District P.R.China Guangdong Provincial Key Laboratory of Intelligent Port Security Inspection Guangzhou510700 China Nanjing University of Aeronautics and Astronautics College of Computer Science and Technology Nanjing211106 China Dalian University of Technology School of Information and Communication Engineering Dalian116024 China 54th Research Institute of CECT Shijiazhuang050081 China Jinan University College of Cyber Security Guangzhou510632 China Nanyang Technological University Nanyang Ave Singapore Singapore

In remote or high-demand wireless cellular networks, efficient data collection from ground users (GUs) with fixed infrastructure poses a significant challenge. Unmanned aerial vehicles (UAVs) have emerged as a promising solution due to their flexible deployment and cost-effectiveness. This paper focuses on a UAV-aided wireless cellular communication system comprising a UAV and multiple adjacent GUs, where the mission of the UAV is to collect data from these GUs. The objective is to minimize UAV propulsion energy consumption while ensuring fair data uploading among all GUs. Due to the non-convex and intractable nature of the above problem, we propose a novel real-time waypoint localization method based on the parallel projection method from a geometric perspective. By enhancing the projection process, this approach achieves energy-efficient and fair data collection, along with an efficient trajectory design algorithm. Further, considering the scenario of densely distributed GUs in large-scale areas, a GU-clustering algorithm is proposed based on Mean Shift. Additionally, this paper categorizes GUs into homogeneous and heterogeneous scenarios and designs distinct trajectory designing algorithms to accommodate diverse real-world situations. Simulations and comparisons validate the effectiveness and efficiency of the proposed algorithms in tackling the UAV trajectory design challenges. © 2014 IEEE.

关键词： Target drones

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