Interference alignment based spectrum sharing and user scheduling for cognitive radio MIMO system by Zhao LI, Jian-dong LI, Qin LIU, Biao SHEN

“…In communication scenario with multiple cognitive radio (CR) multi-input multi-output (MIMO) users,signal processing algorithm was designed based on interference alignment (IA) such that transmissions of cognitive and authorized signal were carried out in mutual orthogonal sub-spaces.Conflict-free utilization of spare spatial channel(s) authorized by primary system was achieved by cognitive user.Moreover,the difference of spatial transmission performance originating from various channel matrices was exploited to implement appropriate user scheduling.Simulation results show that the proposed method can utilize spare spatial channel resource effectively and obtain multiuser diversity gain.On the premise that authorized service is protected from disturbing,transmission rate of cognitive user is improved.…”
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METHOD FOR MODIFYING PROFILE OF CYCLOIDAL WHEEL CONSIDERING COMPENSATION FOR ELASTIC DEFORMATION by QIN ZhengZheng, WANG Quan, ZHAO DaXing, WANG Jun, ZENG LiLei

“…And the mathematical model of the profile modification of the cycloid with elastic deformation characteristics was established,which was solved by genetic algorithm and compared with the modification method without considering elastic deformation.The results show that compared with the modification method without considering elastic deformation,the fitting degree of the actual working tooth profile and the angle modification tooth profile is improved to 1. 52 times,and the contact force of the tooth surface is reduced to8. 27%,thus verifying the rationality and feasibility of the method.…”
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HEALTHY CONDITION RECOGNITION FOR QUAYSIDE CONTAINER CRANE REDUCER BASED ON WEIBULL AND GG FUZZY CLUSTERING by HOU MeiHui, HU Xiong, WANG Bing, ZHAGN BoYi

“…Test data from NetCMAS system is adopted in living analysis, FCM and GK clustering algorithm are analyzed for contrast. The results show that the method proposed in this paper is effective and has better clustering effect.…”
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CONTACT STRESS ANALYSIS AND OPTIMIZATION OF DOUBLE SHOCK SLEEVE MOVABLE TOOTH by SHEN HaiTao, AN ZiJun

“…In this paper,the logarithmic generatrix modification method and genetic optimization algorithm are used to optimize the structure of sleeve movable teeth. …”
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Multicell adaptive power allocation scheme based on game theory in OFDMA systems by ZHANG Tian-kui, ZENG Zhi-min, ZHANG Ying-ying

“…The existence and uniqueness of Nash equilibrium of this game framework was analyzed, and a distributed algorithm for this game was proposed. The performance of the proposed scheme is verified by simulation in the single cell and multiple cell scenario respectively, as well as the influence of pricing factor on system performance. …”
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Function argument number identification in stripped binary under PPC and MIPS instruction set by Xiaokang YIN, Liu LIU, Long LIU, Shengli LIU

“…The identification of the number of function argument contributes to the recovery of the function prototype and is the basis for data flow analysis and other security analysis.In order to improve the accuracy of the recognition of the number of function parameters,an algorithm (Findargs) which determines the number of parameters of the function according to the voting mechanism of the function call relationship was proposed.Findargs starts from the function call characteristics of PPC and MIPS instruction set,and uses function call relationship combined with argument pass analysis to identify the number of function arguments,which can help to recover function prototype.In order to evaluate the recognition effect of Findargs,a large binary file was selected and tested it with radare2.The experiments results show that Findargs has higher accuracy,and the accuracy rate for PPC instruction set reaches 90.3%.For MIPS instruction set,the accuracy rate is 86%.…”
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Bezrefleksyjna codzienność refleksyjnych uczniów, czyli polska edukacja wczesnoszkolna z podręcznikiem w tle by Aleksandra Szyller

“…Everyday work with the textbook forces children to make often anti-developmental tasks and to resign from divergent and creative thinking in favor of acting according to the designated algorithm. The modern school with the textbook on the pedestal is changing into a space with growing restrictions. …”
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Research of Gear Position Decision of Dual Motor Multiple Speed AMT based on BP and Its Optimization Neural Network by Yongqiang Ren, Qisheng Wu, Biao Yuan

“…By using the three-parameter shift law， the algorithm and parameter optimization are carried out to overcome the shortcomings of traditional BP neural network in optimized BP neural network of gear position decision， and then the optimized BP neural network is obtained. …”
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C3S:research of CI-based concurrent transmission strategy for intelligent sensing system by Yanyan MAO, Dapeng CHENG, Yanli FENG, Quansheng DOU, Dashe LI

“…Concurrent transmission technology has important sense for Intelligent Sensing System (ISS).The C3S strategy based with constructive interference (CI) was proposed.C3S was composed of intelligent clock synchronization layer,intelligent energy consumption allocation layer and intelligent parallel pipeline layer.The intelligent clock synchronization layer designed ICCA,a CI-based intelligent clock calibration algorithm.The intelligent energy allocation layer designed CIES,a energy adaptive scheduling scheme for CI,Moreover,a CI-based parallel pipeline CI2P was implemented in the intelligent parallel pipeline layer.The experimental results show that the C3S strategy can effectively improve the packet receiving rate of the concurrent transmission in ISS.It can also reduce the energy consumption of ISS and improve the channel utilization rate of ISS.…”
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A New Iterative Scheme for Generalized Mixed Equilibrium, Variational Inequality Problems, and a Zero Point of Maximal Monotone Operators by Kriengsak Wattanawitoon, Poom Kumam

“…Moreover, the strong convergence theorems of this method are established under the suitable conditions of the parameter imposed on the algorithm. Finally, we apply our results to finding a zero point of inverse-strongly monotone operators and complementarity problems. …”
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Novel DOA estimation method for coherent wideband LFM signals by Peng,LIUKai-hua LUO, Jie-xiao YU, Yong-tao MA

“…A novel direction of arrival (DOA) estimation method for coherent wideband linear frequency modulation (LFM) signals was proposed.Based on the dechirping property of LFM signal in fractional Fourier domain,a new array data model was constructed,then the matrix reconstruction and MUSIC algorithm were used to estimate the DOA of coherent LFM signals.If there were multiple groups of coherent LFM signals incident,separated them in different energy-concentrated domains first,then carried the DOA estimation on each of the groups.Owing to fully excavating the time-frequency information included in observed signals,this method has good resolution ability and anti-noise performance,and the number of DOA that can be resolved is also increased.In addition,this method has no array redundancy and aperture loss,and can be applied to arbitrary array manifold.Simulation results show that this method can obtain nearly 8dB signal-to-noise ratio gain compared with the conventional method.…”
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Pythagorean Fuzzy (R,S)-Norm Information Measure for Multicriteria Decision-Making Problem by Abhishek Guleria, Rakesh Kumar Bajaj

“…The monotonic behavior and maximality feature of the proposed information measure have been studied and presented. Further, an algorithm for solving the multicriteria decision-making problem with the help of the proposed information measure has been provided keeping in view of the different cases for weight criteria, when weights are unknown and other when weights are partially known. …”
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LEO mega-constellation network:networking technologies and state of the art by Quan CHEN, Lei YANG, Jianming GUO, Xingchen LI, Yong ZHAO, Xiaoqian CHEN

“…The emerging low earth orbit (LEO) mega-constellation network (MCN) represented by Starlink and OneWeb were studied.The system architecture and basic working modes were introduced, and the main features of the emerging broadband MCN were summarized.Based on the system architecture of MCN, the methodology and research progress of five key technologies were investigated and summarized, including network topology dynamics management, space-ground handover scheme, high-efficiency routing algorithm design, gateway placement design, network simulation and performance evaluation.The focus was on recent mega-constellation-related studies.The challenges caused by the large scale and complexity of MCN and the applicability of existing techniques and solutions in MCN were analyzed.…”
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EFFECT OF RANDOM FIBER DISTRIBUTION ON LONGITUDINAL COMPRESSIVE BEHAVIOR OF COMPOSITE MATERIALS by ZHANG Li, XU Dong, ZHANG ShuFeng, JIANG YuanXiang

“…Random fiber distribution may lead to randomness of longitudinal compressive behavior of fiber reinforced plastics（FRP）.To mimic random fiber distribution over the cross-section,a new algorithm named Latin Hypercube Sampling based on Random Sequential Expansion（LHS-RSE） is proposed,which can simulate the random fiber distribution of FRP with fiber volume ratio as high as 70%.Then,3 D FE model with random fiber distribution of unidirectional fiber reinforced plastic T300/914 is developed in Abaqus/Standard to investigate the influence of random fiber distribution on the compressive behavior.It is shown that random fiber distribution over cross section greatly compromises the longitudinal compressive strength of FRP.Random distribution of longitudinal compressive strength resulted by random fiber distribution tends to follow normal or lognormal distribution.…”
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THE VARIATIONAL NONLINEAR CHIRP MODE DECOMPOSITION BASED ON CONVEX OPTIMIZATION FOR FAULT DIAGNOSIS by MA YuBo, LV Yong, YI CanCan

“…The problem in the processing of mechanical fault vibration signal by variational nonlinear chirp mode decomposition（VNCMD）,the noise leads to time-frequency surface blurring,which reduces the accuracy of time-frequency ridges extracted,and then affects the decomposition effect of VNCMD,is aimed at,so a joint fault diagnosis of convex optimization and VNCMD is proposed.The noise can be eliminated by solving the sparse approximate solution of signal via the convex optimization algorithm,which can improve the readability of the time-frequency surface,so as to obtain accurate timefrequency ridges.Then,by using these ridges,the fault features of the signal can be extracted effectively via VNCMD.Through the analysis of simulated signal and the measured bearing outer ring fault data,the results demonstrate that the proposed method can realize the accurate extraction of rolling bearing fault feature.…”
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Coordinated Control of Slip Ratio for Wheeled Mobile Robots Climbing Loose Sloped Terrain by Zhengcai Li, Yang Wang

“…First, a slope-based wheel-soil interaction terramechanics model is built, and an online slip coordinated algorithm is designed based on the goal of optimal drive efficiency. …”
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Retracted: Content-Based E-Commerce Image Classification Research by Xiaoli Zhang

“…Aiming at the problems of insufficient classification accuracy and long classification training time in e-commerce image classification, an adaptive momentum learning rate based LBP-DBN training algorithm–AML-LBP-DBN and commodity image classification method based on image local feature multi-level clustering and image-class nearest neighbor classifier are proposed. …”
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Research and prospect of standard for biometric multi-modal fusion used with mobile devices by Guanchen LIN, Zhifei WANG

“…Aiming at the problem of inconsistent biometric multi-modal fusion technology framework for mobile devices and lack of standards, a unified technical framework of multi-modal fusion standards was proposed.Firstly, the current status of standardization related to biometric used with mobile device was analyzed.Secondly, the local recognition and remote recognition application modes of mobile device biometrics standards were studied, and then four sub-multimodal fusion classification methods of multi-feature, multi-algorithm, multi-instance, and multi-sensor were analyzed and proposed.Then, four levels of multi-modal fusion were researched and proposed: sample-level fusion, feature-level fusion, score-level fusion, and decision-level fusion, and a standard technical framework for biometric multi-modal fusion for mobile devices was proposed.Finally, prospects for the application of biometric multi-modal fusion technology were given.…”
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Fuzzy Comprehensive Safety Evaluation of Pipeline Disaster in China-Russia Crude Oil Permafrost Region Based on Improved Analytic Hierarchy Process-Entropy Weight Method by Yangyang Shen, Dongxu Chen, Min Zhang, Ting Zuo

“…A comprehensive weight determination method based on improved fuzzy analytic hierarchy process, entropy weight method and Lagrange algorithm is proposed, and a fuzzy comprehensive evaluation model of permafrost pipeline safety is established. …”
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La chasse aux fantômes sur YouTube. Approche ethnographique et quali-quantitative des commentaires des vidéos by Fanny Georges

“…Drawing on public data from four YouTube channels featuring paranormal investigations in haunted places, the analysis highlights the social and technical injunctions (social expectations, algorithm), the common contributors to several chains, and the social function of the comments. …”
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