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Research and simulation test base on LFSR reseeding test compression technology

4th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2010

作者： Gu, Jing Yi, Lin Yu, Xiaoyang School of Computer Science and Technology Harbin University of Science and Technology Harbin China School of Measurement and Control Technology and Communication Engineering Harbin University of Science and Technology Harbin China

ISBN: (纸本)9787121113154

Considering from test time, test power and access, this article adopts new method that LFSR reseeding based on syncopation of some test patterns. In a test set, some patterns have a lot of confirmed bits and are hardly encoded by LFSR. They are syncopated and substituted by generating patterns. This method can reduce the number of seeds and improve the utilization of seed so that achieve the purpose of test data compression. Using in the benchmark circuits, experimental results show that it can better improve the compression rate and reduce the cost of test.

关键词： Timing circuits

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Remaining Life Prediction Method of Rolling Bearing Based on TD3 Optimization Model Updating Strategy 16

Remaining Life Prediction Method of Rolling Bearing Based on...

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16th IEEE International Conference on Electronic measurement and Instruments, ICEMI 2023

作者： Wang, Yujing Jiao, Guangpeng Kang, Shouqiang Xie, Jinbao Sun, Yulin School of Measurement-Control and Communication Engineering Harbin University of Science and Technology Harbin China School of Physics and Electronic Engineering Hainan Normal University Haikou China

ISBN: (纸本)9798350327144

To address the problems of model degradation and low prediction accuracy in the of update procedure the rolling bearing life prediction model, the updating strategy of twin delayed deep deterministic policy gradient(TD3) is suggested to optimize the prediction model, and it applied to rolling bearing remaining useful life prediction. Continuous wavelet transform is used to build a dataset by converting the rolling bearing vibration data into two-dimensional time-frequency spectrum diagram. Deep reinforcement learning is introduced to design the elements of state, action, reward value and loss function, which are employed to training of the prediction model, this model is composed convolutional neural network (CNN) and bidirectional long short-term memory. The delayed update and soft update techniques of the TD3 algorithm are used to reduce the update frequency of the CNN feature network. A new loss function is proposed to establish a new model updating strategy for solving the prediction model degradation problem. The experimental study using the PHM2012 dataset and the finding indicate that, in comparison to the compared methodologies, the suggested prediction method with model optimization strategy can reduce the root mean square error and mean square error by more than 23.8% and 20.8% respectively, reducing the prediction error by at least 18.6% and improve the scores by more than 0.213. © 2023 IEEE.

关键词： Mean square error

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Optimal power allocation for multi-user OFDM and distributed antenna cognitive radio with RoF

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The Journal of China Universities of Posts and Telecommunications 2010年第6期17卷 41-46,71页

作者： GE Wen-dong JI Hong SI Peng-bo LI Yi School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing 100876 China School of Electronics Information and Control Engineering Beijing University of Technology Beijing 100022 China

In cognitive radio （CR）,power allocation plays an important role in protecting primary user from disturbance of secondary user. Some existing studies about power allocation in CR utilize ＇interference temperature＇ to achieve this protection,which might not be suitable for the OFDM-based CR. Thus in this paper,power allocation problem in multi-user orthogonal frequency division multiplexing （OFDM） and distributed antenna cognitive radio with radio over fiber （RoF） is firstly modeled as an optimization problem,where the limitation on secondary user is not ＇interference temperature＇,but that total throughput of primary user in all the resource units （RUs） must be beyond the given threshold. Moreover,based on the theorem about maximizing the total throughput of secondary user,equal power allocation algorithm is introduced. Furthermore,as the optimization problem for power allocation is not convex,it is transformed to be a convex one with geometric programming,where the solution can be obtained using duality and Karush-Kuhn-Tucker （KKT） conditions to form the optimal power allocation algorithm. Finally,extensive simulation results illustrate the significant performance improvement of the optimal algorithm compared to the existing algorithm and equal power allocation algorithm.

关键词： cognitive radio power allocation OFDM distributed antenna convex optimization radio over fiber （RoF）

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Modeling Method of Automotive Body CAN/LIN Nets Application Protocol Based on Object-oriented Colored Petri Net

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Chinese Journal of Mechanical engineering 2011年第6期24卷 999-1006页

作者： FANG Hua HAN Jianghong and LIU Xiaoping School of Computer and Information Hefei University of TechnologyHefei 230009China Engineering Research Center of Safety Critical Industrial Measurement and Control Technology of Ministry of Education Hefei University of TechnologyHefei 230009China School of Electrical Engineering and Automation Hefei University of TechnologyHefei 230009China

Recently automotive nets are adopted to solve increasing problems in automotive electronic *** of automotive local area network from CAN and LIN can solve the problems of the increasing of wire bunch weight and lack in module installation ***,the multilayer automotive nets software becomes more and more complex,and the development expense is difficult to predict and to keep in *** this paper,the modeling method of hierarchical automotive nets and the substitution operation based on object-oriented colored Petri net(OOCPN) are *** OOCPN model which analyzes the software structure and validates the collision mechanism of CAN/LIN bus can speed the automobile system ***,the subsystems are divided and modeled by object-oriented Petri net(OOPN).According to the sets of message sharing relations,the message ports among them are set and the communication gate transitions are ***,the OOPN model is substituted step by step until the inner objects in the automotive body control modules(BCM) are indivisible and colored by colored Petri net(CPN).And the color subsets mark the node messages for the collision ***,the OOCPN model of the automotive body CAN/LIN nets is assembled,which keeps the message sets and the system can be *** proposed model is used to analyze features of information sharing among the objects,and it is also used to describe each subsystem real-time behavior of processing messages and implemental device controllers operating,and puts forward a reasonable software framework for the automotive body control *** research can help to design the communication model in the automotive body system effectively and provide a convenient and rapid way for developing the logical hierarchy software.

关键词： automotive body CAN/LIN bus information sharing object-oriented colored Petri net modeling

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Influence of soot agglomerate morphology on radiative properties in concentration detection 4

Influence of soot agglomerate morphology on radiative proper...

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4th International Conference on Instrumentation and measurement, Computer, communication and control, IMCCC 2014

作者： Yin, Jinying Yang, Hongyan Zhang, Siqi Qin, Yong Zhou, Zhen School of Measurement and Communication Engineering Harbin University of Science and Technology Harbin China

ISBN: (纸本)9781479965755

Solar radiation is strongly absorbed by soot aggregate. And the atmospheric radiative properties will be affected by the change of aggregate morphology. Based on fractal theory, the morphological properties of soot aggregates are studied using the cluster-cluster aggregation (CCA) model. The superposition Tmatrix method is employed to perform extensive computations of extinction, absorption and scattering properties of soot aggregates with varying state of compactness and size. The relationship between the morphology and radiative properties of aggregates is discussed. Firstly, the radiative properties of different size and different morphology of aggregates are analyzed with the change of the volume fraction. Then, the absorption, scattering and extinction cross-sections of a fixed morphology aggregate are analyzed with changing particle size. Finally, an essential data for detecting soot aerosol concentration can be provided by the value of absorption cross-section of our results. © 2014 IEEE.

关键词： Morphology

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Joint power allocation and relay selection algorithm for multiple-antenna terminals in cooperative MIMO systems

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International Journal of Performability engineering 2019年第6期15卷 1570-1579页

作者： Han, Yuhui Sun, Jiyu Higher Educational Key Laboratory for Measuring and Control Technology Instrumentations of Heilongjiang Harbin150080 China School of Measurement and Control Technology and Communications Engineering Harbin University of Science and Technology Harbin150080 China

The relay selection and power allocation of cooperative MIMO with multiple-antenna terminals are investigated. Based on the classic worst-link-first algorithm, we propose a joint power allocation and relay selection algorithm, which takes maximizing the system energy gain as the optimization purpose. We consider quasi-static, flat fading channels, select relays, and allocate power according to the instantaneous channel state information. Theoretical analysis and computer simulations show that the proposed algorithm can achieve higher average network energy gain than the traditional worst-link-first algorithm, and its computational complexity is much lower. © 2019 Totem Publisher, Inc. All rights reserved.

关键词： MIMO systems

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Quantum proof and high-speed privacy amplification for quantum key distribution

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Physical Review Applied 2025年第5期23卷 054004-054004页

作者： Bing-Qi Yan Jun-Bin Wu Fan Fan Bing-Jie Xu Xiao-Ling Zhang Min Gu Key Laboratory of Atomic and Subatomic Structure and Quantum Control (Ministry of Education) Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter School of Physics South China Normal University Guangzhou 510006 China Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials Guangdong-Hong Kong Joint Laboratory of Quantum Matter South China Normal University Guangzhou 510006 China Quantum Science Center of Guangdong-HongKong-Macao Greater Bay Area (Guangdong) Shenzhen 518000 China School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu 611731 China National Key Laboratory of Security Communication Institute of Southwestern Communication Chengdu 610041 China

Privacy amplification (PA) is a vital step in the postprocessing stage of quantum key distribution, which can extract a secure key from a source partially leaked to the environment. We propose a PA scheme that uses the square hash (SQH)–modular arithmetic hash (MH) function. In consideration of a potential quantum attacker, we use the trace distance as a metric to measure the closeness between two classical-quantum states. We transform a raw key state to a processed state using this scheme and derive the trace distance between the processed state and the ideal target state. It is proven that the trace distance can be reached as small as desired. Additionally, our approach accelerates the SQH-MH function through the number-theoretic transform, reducing the computational complexity to O(nlog n). On the basis of a CPU, a maximum throughput rate of 1.06 Gbit/s is achieved, and the results show that our algorithm demonstrates good stability of the throughput rate when handling tasks with different compression ratios.

关键词： Number theory

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A strategy for accurate prediction of dielectric permittivity and dielectric strength in polyimide

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High Voltage 2024年第6期9卷 1393-1401页

作者： Yu Wang Changhai Zhang Jiaqi Lin Hongguo Sun Ying Yang Wenlong Yang School of Electrical and Electronic Engineering Harbin University of Science and TechnologyHarbinChina School of Science Harbin University of Science and TechnologyHarbinChina Polymer Composites Engineering Laboratory Changchun Institute of Applied ChemistryChinese Academy of SciencesChangchunChina State Key Laboratory of Mechanics and Control of Mechanical Structures Nanjing University of Aeronautics and AstronauticsNanjingChina School of Measurement and Communication Engineering Harbin University of Science and TechnologyHarbinChina

A strategy was proposed to predict accurately the dielectric permittivity and dielectric strength based on the Onsager local field *** molecular dynamic simulation was utilised to analyse the dipole moment fluctuation in polyimide(PI)to reflect the polar-isation response of applied electric *** simulation results revealed that the optical dielectric permittivity and static dielectric permittivity were 2.62 and 3.34,showing that the electronic displacement polarisation of the PI acted as a major *** deviation between simulated and measured values of the frequency-dependent relative dielectric permittivity was no more than 5%,which exhibited high *** the polarisation response of the polar groups in the PI was at infrared frequencies,the conductive loss may be the dominant role in 102–106 Hz at room ***,the effect of Joule heat on the structure,dielectric permittivity and Young modulus was considered to accurately predict the dielectric strength of the PI(359 kV/mm),which was in agreement with experimental values in the *** results establish a clear correlation between structural characteristics and dielectric properties of the PI,which would be the theoretical insights into the design and synthesis of the PI with tailored dielectric properties.

关键词： dielectric strength permittivity

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Contrastive Clustering for Unsupervised Recognition of Interference Signals

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Computer Systems Science & engineering 2023年第8期46卷 1385-1400页

作者： Xiangwei Chen Zhijin Zhao Xueyi Ye Shilian Zheng Caiyi Lou Xiaoniu Yang The School of Communication Engineering Hangzhou Dianzi UniversityHangzhou310018China The Science and Technology on Communication Information Security Control Laboratory Jiaxing314001China

Interference signals recognition plays an important role in anti-jamming *** the development of deep learning,many supervised interference signals recognition algorithms based on deep learning have emerged recently and show better performance than traditional recognition ***,there is no unsupervised interference signals recognition algorithm at *** this paper,an unsupervised interference signals recognition method called double phases and double dimensions contrastive clustering(DDCC)is ***,in the first phase,four data augmentation strategies for interference signals are used in data-augmentation-based(DA-based)contrastive *** the second phase,the original dataset’s k-nearest neighbor set(KNNset)is designed in double dimensions contrastive *** addition,a dynamic entropy parameter strategy is *** simulation experiments of 9 types of interference signals show that random cropping is the best one of the four data augmentation strategies;the feature dimensional contrastive learning in the second phase can improve the clustering purity;the dynamic entropy parameter strategy can improve the stability of DDCC *** unsupervised interference signals recognition results of DDCC and five other deep clustering algorithms show that the clustering performance of DDCC is superior to other *** particular,the clustering purity of our method is above 92%,SCAN’s is 81%,and the other three methods’are below 71%when jammingnoise-ratio(JNR)is−5 *** addition,our method is close to the supervised learning algorithm.

关键词： Interference signals recognition unsupervised clustering contrastive learning deep learning k-nearest neighbor

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Analysis and Simulation of Interference Effects on CSK Modulation Systems 15

Analysis and Simulation of Interference Effects on CSK Modul...

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15th International Congress on Image and Signal Processing, BioMedical engineering and Informatics, CISP-BMEI 2022

作者： Guan, Lele Xu, Zhan Tian, Lu Shi, Chenrui School of Information and Communication Engineering Beijing Information Science and Technology University Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing China

ISBN: (数字)9781665488877

ISBN: (纸本)9781665488877

As the space environment of information transmission becomes more and more complex, the accuracy of communication becomes a new challenge. In order to study the anti-jamming performance of code shift keying (CSK), this paper mainly simulates the performance of CSK and binary phase shift keying (BPSK) under 5 signal interferences, and discusses it according to the bit error rates (BER) obtained by simulation. In the face of different forms of signal interference, CSK has better anti-jamming performance than BPSK. Under various forms of signal interference, CSK has the strongest anti-interference ability to multi-tone interference, and its anti-interference ability to pulse interference, 50% narrowband interference, single-tone interference and channel noise decreases successively. © 2022 IEEE.

关键词： Binary phase shift keying

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