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第三届材料科学应用与能源材料国际研讨会

作者： Yongyi Sun Yangyang Liu Fang Ji Gang Li Yanjun Ma Jin Li Lixin Yang Hongquan Zhang Key Laboratory of Electronics Engineering College of Heilongjiang Province Heilongjiang University Department of Public security information Liaoning Police Collage School of Information Technology Guangxi Police College School of electrical and control engineering Heilongjiang University of Science & Technology School of Automation Harbin Engineering University

Gas sensor often fails due to the influence of temperature, humidity, lighting, dust and toxic gases, and causes unreliable phenomena. Therefore, the fault diagnosis of gas sensors is considered as a weak link. Feature extraction and classification play an important role in gas sensor fault diagnosis. However, there are many problems in traditional feature extraction methods. For example, 1) requirements for expert experience, 2) sensitivity of changes in mechanical systems, 3) limitations of new feature extraction. Therefore, it is meaningful and attractive to develop a method that can discover and learn fault-sensitive features of gas sensors from the original data and classify them effectively according to the sensitive features. Convolutional neural network(CNN) has been widely applied in image analysis and voice recording, and has achieved great success. However, gas sensor fault diagnosis is rarely applied. This paper focuses on using CNN to learn fault features from data, extract features automatically, and then classify them effectively. Experiments show that the CNN method provides a effective solution for gas sensor fault diagnosis.

关键词： Gas sensor fault diagnosis based on Convolutional Neural Network

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Calibration and orientation of industrial online photogrammetry systems in situ

Calibration and orientation of industrial online photogramme...

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7th International Symposium on Test Automation and Instrumentation, ISTAI 2018

作者： Sun, Peng Lu, Naiguang Dong, Mingli Wang, Jun Yan, Bixi Institute of Information Photonics and Optical Communication Beijing University of Posts and Telecommunications Beijing China Beijing Key Laboratory: Measurement and Control of Mechanical Electrical System Beijing Information Science and Technology University Beijing China School of Instrument Science and Optoelectronics Engineering Beijing Information Science and Technology University Beijing China

This study proposes an analytical method for calibrating and orienting online photogrammetric systems using a scale bar. The primary idea is building control lengths in the measurement volume by moving and rotating the scale bar and then conducting a self-calibration bundle adjustment using images of the control lengths. In this study, the five-point relative orientation method is used to provide estimations of the exterior camera parameters. Additionally, this study elaborates the model of the lengths constrained self-calibration bundle adjustment, the block computation algorithm and the accuracy assessment. This method obtains both the interior and the exterior orientation parameters of the two cameras, and provides spatial bar length reconstruction precision as the performance evaluation. Simulations are conducted to analyze the calibration accuracy and the results show that the method achieves comparable accuracy and precision against the state-of-the-art method. However, the method does not need steady and well distributed 3D points and is easy to operate. Real data experimental results show that the maximum length measurement error of this method in a volume of 5 m × 4 m × 2 m is © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Photogrammetry

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Performance analysis of intelligent reflecting surface assisted NOMA networks

arXiv

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arXiv 2020年

作者： Yue, Xinwei Liu, Yuanwei Key Laboratory of Modern Measurement and Control Technology Ministry of Education School of Information and Communication Engineering Beijing Information Science and Technology University Beijing100101 China School of Electronic Engineering and Computer Science Queen Mary University of London LondonE1 4NS United Kingdom

Intelligent reflecting surface (IRS) is a promising technology to enhance the coverage and performance of wireless networks. We consider the application of IRS to non-orthogonal multiple access (NOMA), where a base station transmits superposed signals to multiple users by the virtue of an IRS. The performance of an IRS-assisted NOMA networks with imperfect successive interference cancellation (ipSIC) and perfect successive interference cancellation (pSIC) is investigated by invoking 1-bit coding scheme. In particular, we derive new exact and asymptotic expressions for both outage probability and ergodic rate of the mth user with ipSIC/pSIC. Based on analytical results, the diversity order of the m-th user with pSIC is in connection with the number of reflecting elements and channel ordering. The high signal-to-noise radio (SNR) slope of ergodic rate for the m-th user is obtained. The throughput and energy efficiency of nonorthogonal users for IRS-NOMA are discussed both in delaylimited and delay-tolerant transmission modes. Additionally, we derive new exact expressions of outage probability and ergodic rate for IRS-assisted orthogonal multiple access (IRS-OMA). Numerical results are presented to substantiate our analyses and demonstrate that: i) The outage behaviors of IRS-NOMA are superior to that of IRS-OMA and relaying schemes;ii) With increasing the number of reflecting elements, IRS-NOMA is capable of achieving enhanced outage performance;and iii) The M-th user has a larger ergodic rate compared to IRS-OMA and benchmarks. However, the ergodic performance of the m-th user exceeds relaying schemes in the low SNR regime. Copyright © 2020, The Authors. All rights reserved.

关键词： Signal to noise ratio

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An improved method of cache prefetching for small files in ceph system 5th

An improved method of cache prefetching for small files in c...

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5th Euro-China Conference on Intelligent Data Analysis and Applications, ECC 2018

作者： Fan, Ya Wang, Yong Ye, Miao Lu, Xiaoxia Huan, YiMing School of Computer Science and Information Security Guilin University of Electronic Technology GuilinGuangxi541004 China School of Information and Communication Guilin University of Electronic Technology GuilinGuangxi541004 China Guangxi Colleges and Universities Key Laboratory of Cloud Computing and Complex Systems Guilin University of Electronic Technology GuilinGuangxi541004 China

ISBN: (纸本)9783030037659

To improve the inefficiency of file access for massive small files in the distributed file system, prefetching the small files into the cache is the most conventional method to be adopted. As the number of cached files is proportional to time, there will be many redundant small files which occupy the cache space and haven’t been read for a long time, the hit ratio will be decreased in this situation. To solve this defect, we proposed an improved LRU-W algorithm based on the file read times and the time interval of file read and designed a L2 cache optimization mechanism which can search file in the linked list with higher priority firstly and remove the files with lighter weight factor from the linked list with lower priority dynamically. The experiments and its result show that when prefetching massive small files, the proposed method in this paper can increase the hit ratio of cached files and improve the overall performance of Ceph file system. © Springer Nature Switzerland AG 2019.

关键词： File organization

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A Spectrum Status Duration Prediction Method Based on Homotopy Theory for UAV communication

A Spectrum Status Duration Prediction Method Based on Homoto...

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International Conference on Computer and communications (ICCC)

作者： Tao Zhou Shan Luo Peixiang Zheng Rongping Lin School of Aeronautics and Astronautics University of Electronic Science and Technology of China Chengdu China Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province University of Electronic Science and Technology of China Chengdu China School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (数字)9781728186351

ISBN: (纸本)9781728186368

With the development of wireless communication technology, a large number of spectrum resources are occupied and become increasingly scarce. If drones want to communicate, they need to share spectrum with others. The method of spectrum prediction in cognitive radio can efficiently achieve this. The traditional spectrum status duration prediction method based on the non-stationary hidden Markov model only predict the duration of one fixed geographic location and cannot meet the requirement of UAV's communications. We intend to apply the homotopy theory to the non-stationary hidden Markov model to obtain the spectrum status duration of different locations so that it can apply to UAV's communications. We also conducted experiments to predict the duration of the spectrum status at different locations. The experimental results show that our model can work well.

关键词： Computational modeling Conferences Hidden Markov models Predictive models Markov processes Cognitive radio Drones

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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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Resource Mobility Aware Hybrid Task Planning in Space information Networks

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Journal of communications and information Networks 2019年第4期4卷 107-116页

作者： Runzi Liu Yiting Zhu Yan Zhang Weihua Wu Di Zhou Kai Chi School of Information and Control Engineering Xi’an University of Architecture and TechnologyXi’anShaanxi 710055China The State Key Lab of ISN Xidian UniversityXi’anShaanxi 710071China Science and Technology on Communication Networks Laboratory CETC the 54th research instituteShijiazhuangHebei 050081China Electric Information Network Laboratory CETC the 20th research instituteXi’anShaanxi 710068China

In this paper,a resource mobility aware two-stage hybrid task planning algorithm is proposed to reduce the resource conflict between emergency tasks and the common tasks,so as to improve the overall performance of space information ***,in the common task planning stage,a resource fragment avoidance task planning algorithm is proposed,which reduces the contention between emergency tasks and the planned common tasks in the next stage by avoiding the generation of resource *** emergency tasks,we design a metric to quantify the revenue of the candidate resource combination of emergency tasks,which considers both the priority of the tasks and the impact on the planned common *** on this,a resource mobility aware emergency task planning algorithm is proposed,which strikes a good balance between improving the sum priority and avoiding disturbing the planned common ***,simulation results show that the proposed algorithm is superior to the existing algorithms in both the sum task priority and the task completion rate.

关键词： space information network task planning resource mobility

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Several classes of linear codes with few weights derived from Weil sums

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Finite Fields and Their Applications 2025年 108卷

作者： Zhao Hu Mingxiu Qiu Nian Li Xiaohu Tang Liwei Wu Key Laboratory of Intelligent Sensing System and Security (Hubei University) Ministry of Education the Hubei Provincial Engineering Research Center of Intelligent Connected Vehicle Network Security School of Cyber Science and Technology Hubei University Wuhan 430062 China State Key Laboratory of Integrated Service Networks Xi'an 710071 China Hubei Key Laboratory of Applied Mathematics Faculty of Mathematics and Statistics Hubei University Wuhan 430062 China Information Coding & Transmission Key Lab of Sichuan Province CSNMT Int. Coop. Res. Centre (MoST) Southwest Jiaotong University Chengdu 610031 China Wuhan Maritime Communication Research Institute China

Linear codes with few weights have applications in secret sharing, authentication codes, association schemes and strongly regular graphs. In this paper, several classes of t -weight linear codes over F q are presented with the defining sets given by the intersection, difference and union of two certain sets, where t = 3 , 4 , 5 , 6 and q is an odd prime power. By using Weil sums and Gauss sums, the parameters and weight distributions of these codes are determined completely. Moreover, three classes of optimal codes meeting the Griesmer bound are obtained, and computer experiments show that many (almost) optimal codes can be derived from our constructions.

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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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Sensing Matrix Design for MMV Compressive Sensing: An MVDR Approach

Sensing Matrix Design for MMV Compressive Sensing: An MVDR A...

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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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