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Video Stabilization via Prediction with Time-Series Network and Image Inpainting with Pyramid Fusion

Chinese Journal of Electronics 2021年第6期30卷 1103-1110页

作者： CHENG Keyang LI Shichao RONG Lan WANG Wenshan SHI Wenxi ZHAN Yongzhao School of Computer Science and Communication Engineering Jiangsu University Jiangsu Province Big Data Ubiquitous Perception and Intelligent Agricultural Application Engineering Research Center Cyber Space Security Academy of Jiangsu University National Engineering Laboratory for Public Safety Risk Perception and Control by Big Data Xinjiang Lianhaichuangzhi Information Technology Co. Ltd.

Due to the poor filling effect of the video image defect commonly used in the video stabilization field, the video is seemed still unstable after the image stabilization process, which seriously affects the visual effect. To solve this problem, we improve a video stabilization method based on time-series network prediction and pyramid fusion restoration is proposed to optimize the visual effect after image *** flow of the proposed method is as follows: First,it is adaptive to determine whether the defect of the corresponding frame at the current time needs padding inpainting. Then, for the frame that needs to be inpainting,the frames generated before the current moment are sent to the model combining the convolutional neural networks and the gate recurrent unit to predict the part to be filled. Next the current defect image and the complete image to be filled are brought into the Laplacian pyramid reconstruction, and the improved weighted optimal suture is introduced for splicing during the fusion. Finally, the video frame is cut after reconstruction. The method is tested on a data set composed of videos commonly used in the field of video stabilization. The experimental results show that the average peak signal to noise ratio of the method is 2 to 5 d B higher than that of the comparison algorithm, and the average structural similarity index is improved by about 2% to 7% compared with the contrast algorithm.

关键词： image restoration image sequences video frame cutting improved weighted optimal suture gate recurrent unit video signal processing video stabilization method image fusion Laplacian pyramid reconstruction padding inpainting image resolution neural nets convolutional neural networks video image defect pyramid fusion restoration image inpainting visual effect optimization image reconstruction time-series network prediction image stabilization process

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Research on Covariance Matrix and Freedom Degree of GNSS Anti-jamming Array

Research on Covariance Matrix and Freedom Degree of GNSS Ant...

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IEEE International Conference on Signal and Image Processing (ICSIP)

作者： Pulong Nan Lijun Wang Gaofeng Pan Science and Technology on Communication Information Security Control Laboratory Jiaxing China

ISBN: (纸本)9781665446006

The paper focuses on the covariance matrix and freedom degree widely involved in array anti-jamming processing. Based on the eigen decomposition of array covariance matrix of received signals, the correlation properties as well as the relationship between eigenvalue distribution of covariance matrix and consumed freedom degrees of array are researched and analyzed, with GNSS anti-jamming array taken as an example. Simulation experiments are done to explain a number of representative conditions and help summarize several deploying instructions for the platforms carrying anti-jamming arrays, so as to avoid freedom degrees being consumed much and ensure the anti-jamming capabilities.

关键词： Global navigation satellite system Correlation Array signal processing Image processing Conferences Parallel processing Eigenvalues and eigenfunctions

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Dynamic fairness evaluation framework for cloud computing

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Tongxin Xuebao/Journal on communications 2014年第7期35卷 140-150页

作者： Lu, Di Ma, Jian-Feng Wang, Yi-Chuan Xi, Ning Meng, Xian-Jia School of Computer Science Xidian University Xi'an710071 China Science and Technology on Communication Information Security Control Laboratory Jiaxing314033 China

Dynamic fairness evaluation framework (DFE) was given according to the dynamic features of resources in cloud environment. In DFE, the factors of fairness, efficiency and time were introduced, and the allocation results were processed into numeric values, which could measure the fairness of allocation algorithms quantificationally. Two typical dynamic factors in cloud environment are considered, dynamic resource demands of virtual nodes and dynamic quantity of virtual node number. Then, two sub-models are established for both of the dynamic factors, with which DFE is finally derived. Both of the sub-models and DFE are analyzed, and evaluated with several typical resource allocation algorithms. The experimental results prove that DFE can effectively provide a measurement for allocation fairness evaluation in the case of both dynamic resource demands and node number.

关键词： Resource allocation

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Modulation Recognition of Underwater Acoustic communication Signals Based on Joint Feature Extraction

Modulation Recognition of Underwater Acoustic Communication ...

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2019 IEEE International Conference on Signal, information and Data Processing, ICSIDP 2019

作者： Ge, Yizhou Zhang, Xin Zhou, Qing Science and Technology on Communication Information Security Control Laboratory Jiaxing314000 China No.36 Research Institute of CETC Jiaxing314000 China School of Marine Science and Technology Northwestern Polytechnical University Xi'an710072 China

ISBN: (纸本)9781728123455

Recently, the research on modulation identification of underwater acoustic (UWA) communication signals has attracted much attention. It is a challenge to identify the modulation of underwater acoustic communication signals in the environment of low signal-to-noise ratio (SNR), multipath interference, frequency and phase drift. In this paper, a joint feature extraction algorithm is proposed which combines the method of cyclic spectrum with high-order cumulant to perform the modulation recognition of UWA communication. In the algorithm, the higher-order cumulant features of the communication signals and their counterparts after the square transformation are used firstly for the intra-class modulation recognition of phase shift keying (PSK) and frequency shift keying (FSK), and the inter-class modulation recognition of PSK. Then the cross-section parameter of spectral correlation function of signals are used for inter-class recognition of FSK modulation. Simulation results show that BPSK, QPSK, 2FSK and 4FSK underwater acoustic communication signals can be identified at rate better than 90% by using the joint modulation recognition algorithm with a signal-to-noise ratio of -2dB. © 2019 IEEE.

关键词： Underwater acoustic communication

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Personalized Federated Learning for Heterogeneous Residential Load Forecasting

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Big Data Mining and Analytics 2023年第4期6卷 421-432页

作者： Xiaodong Qu Chengcheng Guan Gang Xie Zhiyi Tian Keshav Sood Chaoli Sun Lei Cui the Shanxi Key Laboratory of Advanced Control and Equipment Intelligence Taiyuan University of Science and TechnologyTaiyuan 030024China the Faculty of Engineering and Information Technology University of Technology SydneyUltimo 2007Australia the Centre for Cyber Security Research and Innovation Deakin UniversityMelbourne 3125Australia the School of Computer Science and Technology Taiyuan University of Science and TechnologyTaiyuan 030024China

Accurate load forecasting is critical for electricity production,transmission,and *** learning(DL)model has replaced other classical models as the most popular prediction ***,the deep prediction model requires users to provide a large amount of private electricity consumption data,which has potential privacy *** nodes can federally train a global model through aggregation using federated learning(FL).As a novel distributed machine learning(ML)technique,it only exchanges model parameters without sharing raw ***,existing forecasting methods based on FL still face challenges from data heterogeneity and privacy ***,we propose a user-level load forecasting system based on personalized federated learning(PFL)to address these *** obtained personalized model outperforms the global model on local ***,we introduce a novel differential privacy(DP)algorithm in the proposed system to provide an additional privacy *** on the principle of generative adversarial network(GAN),the algorithm achieves the balance between privacy and prediction accuracy throughout the *** perform simulation experiments on the real-world dataset and the experimental results show that the proposed system can comply with the requirement for accuracy and privacy in real load forecasting scenarios.

关键词： load forecasting personalized federated learning differential privacy

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Remote Attestation for Intelligent Electronic Devices in Smart Grid Based on Trusted Level Measurement

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Chinese Journal of Electronics 2020年第3期29卷 437-446页

作者： WANG Yong LI Jun'e CHEN Xiong LIN Hai YU Fajiang LUO Jianbo Key Laboratory of Aerospace Information Security and Trusted Computing Ministry of EducationSchool of Cyber Science and Engineering Wuhan University NARI Group Corporation State Grid Electric Power Research Institute NARI Technology Co.Ltd. State Key Laboratory of Smart Grid Protection and Control

To reduce the implementation complexity and excessive overhead caused by remote attestation,we propose a new remote attestation scheme based on trusted level measurement considering the limited system resources of the Intelligent electronic devices(IEDs) in smart grid. In this scheme, a lightweight trusted level measurement mechanism is designed, and a new dynamic weighted multi-classifier integration method based on Binary tree Support vector machine(BT-SVM) is proposed. The trusted level of configuration information and running state of an IED are measured through trusted third party. The measurement parameters and attestation period are dynamically adjusted according to different trusted levels of an IED, so that reducing computational overhead and communication delays in remote attestation process. Analysis and experiments show that the proposed scheme can enhance the security of IEDs in smart grid by occupying a small amount of computation and communication resources.

关键词： Smart grid Intelligent electronic devices(IEDs) Remote attestation Trusted level measurement

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Potential Transmission Choice for Internet of Things(IoT):Wireless and Batteryless communications and Open Problems

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China communications 2021年第2期18卷 241-249页

作者： Zhan Xu Guanjie Hu Minzheng Jia Lan Dong School of Information and Communication Engineering and with Key Laboratory of Modern Measurement&Control Technology Ministry of EducationBeijing Information Science&Technology UniversityChina Beijing Key Lab of Transportation Data Analysis and Mining School of Computer and Information TechnologyBeijing Jiaotong UniversityBeijingChina Department of Information Engineering Beijing Polytechnic CollegeBeijingChina

The 5th generation mobile communications aims at connecting everything and future Internet of Things(IoT)will get everything smartly *** realize it,there exist many *** key challenge is the battery problem for small devices,such as sensors or *** backscatter,also referred to as or battery-free backscatter,is a new potential technology to address this *** early and typical type of batteryless backscatter is ambient ***,batteryless backscatter utilizes environmental wireless signals to enable battery-free devices to communicate with each *** devices first harvest energy from ambient wireless signals and then backscatter these signals so as to transmit their own *** paper reviews the current studies about batteryless backscatter,including various backscatter schemes and theoretical works,and then introduces open problems for future research.

关键词： batteryless backscatter battery-free channel state information(CSI) channel estimation multiple antennas signal detection symbiotic communication

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PMB filter based distributed tracking of multiple extended targets under different resolutions 100

PMB filter based distributed tracking of multiple extended t...

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100th IEEE Vehicular technology Conference, VTC 2024-Fall

作者： Li, Yue Gao, Lin Wei, Ping Li, Wanchun Zhang, Huaguo Mu, Hao University of Electronic Science and Technology of China School of Information and Communication Engineering China National Key Laboratory of Electromagnetic Space Security China

ISBN: (纸本)9798331517786

A key feature of extended target (ET) is that it can produce multiple measurements, thus providing detailed information such as size, orientation. However, due to the measurement number decrease, the ET tends to be a point target (PT) when it becomes far from the sensor, leading to disability of estimating the extensions. In this paper we consider the problem of distributed ETs tracking based on multiple sensors. In such a case the measurements decrease of an ET can be compensated by other sensors, so that the tracking performance can be maintained. In the proposed algorithm the targets are modeled by Poisson multi-Bernoulli (PMB) random finite set (RFS) and the state of each target consists of two parts representing the possibility of being ET and PT, respectively. In the local filtering state, interaction between ET and PT states is considered in the prediction step for target identity change between ET and PT, based on which the local PMB filter is achieved for seamlessly tracking ETs and PTs. In the fusion part a generalized covariance intersection (GCI) based criterion is proposed to fuse the posteriors of each sensor. The performance of proposed algorithm is verified via simulations. © 2024 IEEE.

关键词： Target tracking

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Trust recommendation algorithm for the virtual community based Internet of Things(IoT)

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Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University 2015年第2期42卷 52-57and179页

作者： Guo, Jingjing Ma, Jianfeng School of Computer Science and Technology Xidian Univ. Xi'an710071 China Science and Technology on Communication Information Security Control Laboratory Jiaxing314033 China

In available trust based recommendation schemes, users always tend to transact with the entity with the highest trust value, which will result in the fact that the virtual community's resource cannot be fully utilized. The entity with the highest trust value will also delay the response because of its capacity constraint, so that its trust value will be bound to decline. To resolve this problem, we propose a recommendation algorithm which takes the community benefit and the stability of the entities' trust value into account. The community's control center adopts the Lyapunov optimization method to make a decision which can give it the maximum benefit on the premise of satisfying the desired constraint of the interaction requester, meanwhile guaranteeing the stability of the community nodes' trust value. Theoretical analysis and experiments show that our algorithm can stabilize the community nodes' trust value, and that it also can enable the whole community and resource requester to get more benefits. ©, 2015, science Press. All right reserved.

关键词： Network security

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Research on evaluation index system for software vulnerability analysis methods 4

Research on evaluation index system for software vulnerabili...

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4th IEEE International Conference on Data science in Cyberspace, DSC 2019

作者： Li, Jin Huang, Min-Huan Lu, Shuai-Bing Li, Hu Chen, Jin-Fu National Key Laboratory of Science and Technology on Information System Security Beijing China School of Computer Science and Communication Engineering Jiangsu University Jiangsu China

ISBN: (纸本)9781728145280

Due to the diversity of existing software vulnerability analysis methods, a unified index system is required if we are to accurately and comprehensively evaluate the analytic effects in order to further improve the level of analysis. Accordingly, this paper first proposes the principles and process necessary to construct an evaluation index system for software vulnerability analysis. Moreover, by focusing on the problems identified in previous relevant research, an evaluation index system for software vulnerability analysis methods that contains four aspects-accuracy, coverage, value and performance-is proposed;this system is more comprehensive and complete than existing achievements. Finally, using the vulnerability analysis testing framework, the indexes of the three different versions of cppcheck are measured. The results show that the proposed evaluation index system can be used for the comparative evaluation of different vulnerability analysis methods. © 2019 IEEE.

关键词： Analysis method Evaluation index system Software vulnerability

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