FAULT DIAGNOSIS OF RECIPROCATING COMPRESSOR ON THE RESONANCE-BASED SPARSE SIGNAL DECOMPOSITION WITH OPTIMAL Q-FACTOR by WANG JinDong, BU QingChao, ZHAO HaiYang, ZHANG HongBin

“…Reciprocating compressor vibration signal is typical nonlinear and non-stationary,and the vibration information interference coupling, owing to this problem,a fault diagnosis method of reciprocating compressor on the resonance-based sparse signal decomposition with optimal Q-factor was proposed.The method use resonance sparse decomposition to find the low resonance component which its kurtosis is maximum, optimize Q-factor with genetic algorithm and particle swarm optimization to get the optimal Q-factor;then use resonance sparse decomposition to decompose reciprocating compressor vibration signal by the optimal Q-factor;the result shows that this method can diagnose the oversized bearing clearance fault effectively.…”
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Optimal strategy selection method for moving target defense based on signaling game by Lyu JIANG, Hengwei ZHANG, Jindong WANG

“…To solve the problem of the optimal strategy selection for moving target defense,the defense strategy was defined formally,the defense principle from the perspective of attack surface shifting and exploration surface enlarging was taken into account.Then,network attack-defense behaviors were analyzed from the sight of dynamic confrontation and bounded information.According to the analysis of attack-defense game types and confrontation process,the moving target defense model based on signaling game was constructed.Meanwhile,the method to quantify strategies was improved and the solution of perfect Bayesian equilibrium was proposed.Furthermore,the optimal defense strategy selection algorithm was designed by the equilibrium analysis.Finally,the simulation demonstrates the effectiveness and feasibility of the proposed optimal strategy and selection method.…”
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The Fractional Kalman Filter-Based Asynchronous Multirate Sensor Information Fusion by Guangyue Xue, Yubin Xu, Jing Guo, Wei Zhao

“…A fractional Kalman filter-based multirate sensor fusion algorithm is presented to fuse the asynchronous measurements of the multirate sensors. …”
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Financial production marketing prediction based on optimization GA-BP neural network by Xin JIN, Yi-an PAN, Jing WU

“…The traditional BP neural network has some application problems.For example,the network structure parameter is too dependent on experience and easy to fall into local solution.In order to improve the application defects of BP neural network model,the optimization GA-BP algorithm to optimize BP neural network topology and the selection process of network initial parameter value is proposed.In order to verify the feasibility of the model,marketing customer historical data of a bank short-term financial products as the research object is used to validate the model which could more accurately predict the customer compared with BP neural network model.The test results show that the model could be applied to analysis financial product marketing data and more accurately predict the future marketing results.…”
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Research on spectrum sensing technologies based on goodness of fit by Guangyue LU, Cai XU, Yinghui YE, Yin MI

“…Cognitive radio technology has achieved the dynamic allocation of spectrum resources,and improves the utilization rate of spectrum resources.Accurate and efficient spectrum sensing is the key step in cognitive radio.Developing a fast and high-performance spectrum sensing method has become an urgent problem to be solved.In recent years,goodness of fit（GOF）theory has been applied widely in the field of spectrum sensing and the effective spectrum sensing technology under small sample point has been implemented.Therefore,the research on spectrum sensing technology based on GOF has very significant value.The development process of GOF in areas of cognitive radio spectrum sensing was summarized,its basic principle common fitting criterion and fitting object were introduced.The simulation comparison of the algorithm was carried under the Gaussian channel and its prospects of further research was forecasted finally.…”
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Efficient signcryption scheme based on Cocks’ identity cryptosystem by Changgen PENG, Xiaoyu ZHANG, Hongfa DING, Shanhui YANG

“…Most of the existing identity-based signcryption schemes are based on bilinear or multilinear pairing operations construction.To solve the problem of low efficiency caused by complex pair operation, a new efficient signcryption scheme based on the identity cryptosystem of Cocks was proposed.Firstly, the security model of the proposed scheme was formalized, and the definition of confidentiality and unforgeability was given.Secondly, the quadratic residue problem was used to realize the concrete construction of the proposed scheme, and the signature algorithm was designed in a logical step by combining Jacobi symbol operation.Finally, the security proofed that the scheme satisfied the confidentiality and unforgeability was given under the random prediction model.The efficiency analysis shows that compared with the existing identity-based signcryption scheme, the proposed scheme greatly improves the computing efficiency and has good characteristics of identity-based cryptosystem.…”
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Measurement of electromagnetic transients in high voltage substations based on wireless transmission technique under strong electromagnetic interference by Ceyong Wang, Lezhi Ou, Wenbing Wu, Chenghui Tan, Yi Ding, Jinxing Zou

“…Secondly, a compression algorithm with fault tolerance prevents signal distortion. …”
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Fast Transfer Navigation for Autonomous Robots by Chen Wang, Xudong Li, Xiaolin Tao, Kai Ling, Quhui Liu, Gan Tao

“…In the VIN environment, our method outperforms other algorithms by adapting to an unseen indoor environment. …”
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Cooperative spectrum sensing scheme against SSDF attack based on ESD test in radio network by Lichun XIE, Chunqin ZHANG

“…Firstly, the differential evolution algorithm and weighted gain combining soft decision scheme were combined to form an efficient node decision fusion mechanism. …”
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Research on resource management and service mapping method for reconfigurable flexible network by Bao-jin WANG, Bin-qiang WANG, Zhi-ming WANG

“…Reconfigurable flexible network (RFNet) based on resource re-composition was proposed.The network service in RFNet was composed of special components,and could construct the new network service to satisfy a coming traffic demand by component composition technology in both software and hardware area.After introducing the architecture of RFNet,a process flow mechanism of resource management,carraying network mapping and network service mapping was proposed.By simulation evaluation,the mechanism was confirmed to provide the support of heterogeneous networks construction and coexistence,and especially the reconfigurable service carrying network mapping(RSCNM)algorithm based on load balance had an advantage over network successful construction ratio(SCR),maximum node stress,average link utilization rate and average revenue.…”
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Complex Neutrosophic Soft Matrices Framework: An Application in Signal Processing by Madad Khan, Saima Anis, Kainat Bibi, Sohail Iqbal, Florentin Smarandache

“…Moreover, we develop an algorithm using complex neutrosophic soft matrices and apply it in signal processing.…”
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Defense decision-making method based on incomplete information stochastic game and Q-learning by Hongqi ZHANG, Junnan YANG, Chuanfu ZHANG

“…Most of the existing stochastic games are based on the assumption of complete information,which are not consistent with the fact of network attack and defense.Aiming at this problem,the uncertainty of the attacker’s revenue was transformed to the uncertainty of the attacker type,and then a stochastic game model with incomplete information was constructed.The probability of network state transition is difficult to determine,which makes it impossible to determine the parameter needed to solve the equilibrium.Aiming at this problem,the Q-learning was introduced into stochastic game,which allowed defender to get the relevant parameter by learning in network attack and defense and to solve Bayesian Nash equilibrium.Based on the above,a defense decision algorithm that could learn online was designed.The simulation experiment proves the effectiveness of the proposed method.…”
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AUTOMATIC DESIGNING OF POWER SUPPLY SYSTEMS by A. I. Kirspou, I. V. Kolosova

“…Methodology and software correspond to the requirements of the up-to-date designing, describe a general algorithm of program process and also reveals properties of automatic designing system objects. …”
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Dynamic interference coordination scheme based on the iterative joint transmission in ultra dense network by Xiaona LI, Zhongfang WANG, Qian CHENG, Jingwen FU, Shunliang ZHANG

“…In consideration of the rapidly increasing number of cells and users in the ultra-dense network,how to realize dynamic interference coordination by selecting the appropriate joint transmission users was studied,so as to improve the spectral efficiency of the edge users.All users were classified by dynamic coordination cluster division and dynamic joint-muting transmission.The iterative optimization algorithm was used to further improve the system performance and solve the problem of selecting the number of joint transmission users.The simulation results prove that compared with the conventional CoMP JT scheme,the proposed scheme has significant performance gains in the cell edge spectral efficiency without reducing the cell average spectral efficiency.…”
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Complexity control method of random forest based HEVC by Peng WEN, Zongju PENG, Fen CHEN, Gangyi JIANG, Mei YU

“…High efficiency video coding (HEVC) has high computational complexity,and fast algorithm cannot perform video coding under restricted coding time.Therefore,a complexity control method of HEVC based on random forest was proposed.Firstly,three random forest classifiers with different prediction accuracy were trained to provide various coding configurations for coding tree unit (CTU).Then,an average depth-complexity model was built to allocate CTU complexity.Finally,the CTU coding configuration,determined by the smoothness,average depth,bit,and CTU-level accumulated coding error,was used to complete complexity control.The experimental results show that the proposed method has better complexity control precision,and outperforms the state-of-the-art method in terms of video quality.…”
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Recursive Linear Estimation for Discrete-Time Systems in the Presence of Different Multiplicative Observation Noises by C. Sánchez-González, T. M. García-Muñoz

“…We show how known results can be considered a particular case of the algorithm stated in this paper.…”
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Discretization Envelope Design Modeling Method of Rack and Pinion with Variable Ratio by Dai Yin

“…Based on this, a new numerical algorithm for tooth profile point extraction is proposed. …”
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Strategy of routing based on layered for underwater wireless sensor networks by Jian PENG, Chang-jian HONG, Tang LIU, GYun-yong ZHAN

“…Compared with DBR and Flooding by simulation, the layered-DBR algorithm can control the network redundancy, re-duce the network energy consumption, and prolong the network lifetime.…”
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Low-latency networking:architecture,key scenarios and research prospect by Xutong ZUO, Mowei WANG, Yong CUI

“…With the advent of delay-sensitive applications and ultra-low latency scenarios,research on low-latency networking is attracting attention from academia,industry,and standards organizations.Understanding the causes of latency and designing corresponding techniques to reduce latency enable the development of emerging applications.The sources of latency according to the layered architecture of the network was analyzed,and summarizes the techniques for reducing the latency.After that,three typical low-latency key scenarios and delay optimization techniques for data center network,5G and edge computing was analyzed.Finally,the opportunities and challenges that may be encountered in the development of low latency networks were presented from the perspectives of network architecture innovation,data-driven latency optimization algorithm and the design of new protocols.…”
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Research of the Ramp Start Control of Signal Speed Ratio Electric Vehicle by Zhang Qing, Xiong Huiyuan

“…The kinematics linear regression model of the signal speed ratio electric vehicle under ramp start condition is constructed,then a road gradient identifier based on multi-innovation forgetting gradient algorithm is designed,the ramp anti-slide control strategy is formulated according with driver intention. …”
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