Receiver design of sparse Bayesian learning based MIMO-OFDM power line communication system by Xinrong LYU, Youming LI, Yongqing WU, Xiaobo TANG

“…The rich impulsive noise in the power line channel poses a huge challenge to the design of MIMO-OFDM transceiver.To solve this problem, a design scheme that can jointly estimate the channel and impulsive noise was proposed, which exploited the parametric sparsity of the classical multipath model and the sparsity of the time domain impulsive noise.In this scheme, the unknown channel model parameters and the impulsive noise were jointly regarded as a sparse vector.By observing the spatial correlation of MIMO system, a compressed sensing model based on multiple measurement vectors was constructed.The multiple response sparse Bayesian learning theory was introduced to jointly estimate the MIMO channel parameters and impulsive noise.The simulation results show that, compared with the traditional receiver scheme that considers MIMO channel estimation and impulsive noise suppression separately, the receiver proposed has a significant improvement in channel estimation performance and bit error rate performance.…”
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Sensitive information leakage awareness method for big data platform based on multi-attributes decision-making and taint tracking by Le-tian SHA, Fu XIAO, Wei CHEN, Jing SUN, Ru-chuan WANG

“…Based on multiple-attribute-decision-making and taint tracking,a sensitive-information leakage awareness method was proposed,some relative known vulnerabilities in big data platform was analyzed,target database was extracted and extended,multiple attribute model was built combined with operation semantic,a grey-correlation-analysis and technique for order preference by similarity to an ideal solution based sensitivity measurement was designed in combination of regular operation semantic for sensitive information.A prototype was built based on taint tracking,sensitive-information leakage vulnerabilities could be verified and discovered across big data platforms in this method.The experiment shows that verification for known bugs and discovery for unknown vulnerabilities can be accomplished based on leakage scenarios,which can be regarded as a support for protection in dynamic sensitive information data flow.…”
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Energy Sharing and Performance Bounds in MIMO DFRC Systems: A Trade-Off Analysis by Ziheng Zheng, Xiang Liu, Tianyao Huang, Yimin Liu, Yonina C. Eldar

“…It is a fundamental problem to analyze the performance bound of multiple-input multiple-output dual-functional radar-communication systems. …”
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Recent Advances: The Imbalance of Cytokines in the Pathogenesis of Inflammatory Bowel Disease by Qingdong Guan, Jiguo Zhang

“…Recent studies show the beneficial effects of anticytokine treatments to IBD patients, and multiple novel cytokines are found to be involved in the pathogenesis of IBD. …”
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Double reputation and multi-angle weight-based cooperative spectrum sensing method against SSDF attacks by Zhiguo SUN, Zhao WANG, Zengmao CHEN, Rongchen SUN

“…In order to improve the ability of cooperative spectrum sensing to withstand spectrum sensing data falsification (SSDF) attacks, a double reputation and multi-angle weight-based cooperative spectrum sensing (DRMW-CSS) method was proposed.Firstly, a scoring reputation was obtained by multiple iterations of historical local decision results, and an accuracy reputation was calculated on this basis.Secondly, secondary users (SU) were screened by double reputation and multiple reputation thresholds.Then, the impact of SSDF attacks on the screening method was judged and divided into three situations.Finally, the final global decision was made using the corresponding multi-angle weight data fusion decision method according to different situations.Simulation results show that the proposed method has good sensing accuracy when facing SSDF attacks with different attack strategies and probabilities, and has better anti-attack capability compared to traditional methods.…”
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An survey on application of artificial intelligence in 5G system by Jianwu ZHANG, Luxin WANG, Lingfen SUN, Qianye ZHANG, Hangguan SHAN

“…With the continuous development of 5G, the era of the internet of everything is coming.Problems such as massive device connections, massive application requests, ultra-high network load and complex dynamic network environment pose great challenges to the optimization of 5G systems in the context of the internet of everything.Facing these challenges, artificial intelligence (AI) shows its unique advantages.Firstly, the advantages of deep learning driven AI algorithms in 5G system compared with conventional algorithms were briefly introduced.Then, the application of AI algorithms in multi-access edge computing (MEC) and mmWave massive multiple-input multiple-output (MIMO) system were described in detail, with advantages and disadvantages of each method being compared and analyzed.Finally, according to the existing research, the shortcomings of AI algorithms in 5G application scenarios were summarized and the future research directions were forecasted.…”
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Abandon Policies for Two Types of Multiattempt Missions by Yuejiao Feng

“…When the task is important, the systems can try to execute the task multiple times after the task is abandoned and the rescue is completed, to improve the probability of task completion. …”
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Compressed Sensing in On-Grid MIMO Radar by Michael F. Minner

“…The accurate detection of targets is a significant problem in multiple-input multiple-output (MIMO) radar. Recent advances of Compressive Sensing offer a means of efficiently accomplishing this task. …”
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Phase-Feeding the Beef Herd for Improved Feed Utilization by Matt Hersom

“…Phase feeding in the dairy industry is implemented based on placing cows into multiple feeding groups based on their lactation status. …”
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Research on the invulnerability of regional network based on topology analysis by Changqing AN, Yujia LIU, Hui WANG, Zhiyan ZHENG, Tao YU, Jilong WANG

“…To measure the overall impact of different attacks a network region may encounter, an evaluation algorithm can be used to capture the difference in invulnerability of regional network topologies.Specifically, the vulnerability of regional network and that of connection topology between regions both internally and externally was analyzed.To find predictions between regions as supplemental topology data and create the Internet topology, data would be measured in various ways and verified.Using stratified probability sampling, multiple damage simulations could predict the worst-case scenarios in real conditions.Damage was simulated multiple times based on stratified probability sampling to approximate the damage situation of the area under real conditions.A significance tester was realized to measure the impact of damage from the overall level and special weak points respectively, discover the difference of the damage between the areas, and calculate the regional invulnerability ranking.Finally, the ranking and clustering results of forty-eight regions were given.…”
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Low pilot overhead parametric channel estimation scheme for RIS-assisted mmWave MIMO systems by LI Shuangzhi, YANG Ruiqi, GUO Xin, HUANG Sai

“…To address the timely acquisition of channel state information in reconfigurable intelligent surface (RIS)-assisted millimetre wave (mmWave) multiple-input multiple-output (MIMO) systems, a channel estimation scheme based on tensor decomposition was proposed. …”
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Hazardous State Analysis of Landslide Mass Based on Cumulative Displacement of Landslide by WANG Chaoyang, LI Limin, WANG Lianxia, REN Ruibin, FU Zhentao, CUI Chengtao

“…To solve the problem of incomplete analysis of individual landslide hazardous states,this paper proposes a multiple perspective analysis method of landslide's hazardous state based on landslide cumulative displacement.Firstly,the limit displacement criterion is used to determine the early warning stage where the landslide locates.Secondly,the landslide stable state is evaluated by the cusp mutation theory.Thirdly,the development trend of the landslide mass is determined by using rescaled range analysis.Then,the fuzzy matrix is established to determine the hazardous state of the landslide.However,since a single detection point cannot accurately reflect the overall hazardous state of the landslide,multiple monitoring points are used to identify the overall hazardous state of the landslide.Finally,the method is applied to the Bazimen landslide to verify its effectiveness.The results show that this method can effectively identify the local and the whole hazardous state of the landslide.…”
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Art Online Design Based on Digital Simulation Technology by Song Gao

“…In addition, by combining the two free-form surfaces to enter the 3D modeling software, we can obtain an optical lens with multiple free-form surfaces to improve the digital simulation effect. …”
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6G oriented wireless communication channel characteristics analysis and modeling by Chengxiang WANG, Jie HUANG, Haiming WANG, Xiqi GAO, Xiaohu YOU, Yang HAO

“…,global coverage,all spectrums and all applications,we comprehensively survey 6G related wireless channel measurements,channel characteristics,and channel models for all frequency bands and all scenarios.Millimeter wave (mmWave),terahertz (THz),optical band,satellite,unmanned aerial vehicle (UAV),maritime,underwater acoustic,high-speed train (HST),vehicle-to-vehicle (V2V),massive/ultra-massive multiple-input multiple-output (MIMO),orbital angular momentum (OAM),and industry Internet of things (IoT) communication channels were particularly investigated.The related 6G channel measurement and modeling results were also given.Finally,future research challenges on 6G channel measurements and modeling were pointed out.…”
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Dynamic Range Consideration in MIMO Systems with Hybrid Antenna Selection by Javad Ahmadi-Shokouh

“…A Hybrid Antenna Selection (HAS), also called Soft Antenna Selection (SAS), method is basically implemented by a Linear Network (LN) located in RF domain of Multiple Input Multiple Output (MIMO) systems. In this paper, we evaluate the SAS-MIMO system, which is optimally tuned based on spatial multiplexing/diversity transmissions, in terms of receiver dynamic range issue. …”
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Blueprint for All-to-All-Connected Superconducting Spin Qubits by Marta Pita-Vidal, Jaap J. Wesdorp, Christian Kraglund Andersen

“…While recent experiments have successfully coupled two ASQs, how to realize a scalable architecture for extending this coupling to multiple distant qubits remains an open question. In this work, we resolve this challenge by introducing an architecture that achieves all-to-all connectivity between multiple remote ASQs. …”
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Novel antenna selection algorithm for STBC and VBLAST hybrid coding systems by LI Ren, JIANG Yong-quan, LI Xiao-yan, ZHANG En-zhan

“…Multiple-input multiple-output （MIMO） systems improve the bit error rate （BER） performance, meanwhile,in order to reduce the impact to system capacity, a novel antenna selection algorithm for space-time block coding （STBC） and vertical Bell laboratories layered space time （VBLAST） hybrid coding systems was proposed. …”
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Node-link simultaneous mapping based multi-type service resource orchestration algorithm by FENG Chuan, ZHANG Xu, MA Tianchun, GUO Lei

“…The physical network node attributes were considered when mapping the first node, the physical network node attributes and link attributes were comprehensively considered when mapping node-link tuples, and the network link attributes were considered when mapping links, so as to find the mapping policy for virtual network requests in the underlying physical network containing multiple types of service resources. Simulation results show that the proposed algorithm can reduce the blocking rate of virtual network requests and improve the utilization efficiency of multiple types of resources in the physical network.…”
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Energy dissipation balanced and reliable clustering algorithm for wireless sensor networks by Jun YUE, Wei-ming ZHANG, Wei-dong XIAO, Da-quan TANG, Jiu-yang TANG

“…A novel clustering algorithm for wireless sensor networks was proposed to resolve the hot spot problem and the single failure problem.The algorithm divided the network into unequal grids,and the nodes in the same grid form a cluster.The number of cluster heads in each grid was determined according to the failure probability of nodes,and the data collection of nodes in a grid was implemented by multiple cluster heads of the grid cooperatively.By adjusting the number of nodes that could participate in cluster head rotation of each grid,the algorithm was able to balance the energy dissipation of nodes on a long view.The algorithm reduced the reliance of cluster members to single cluster head by forming cluster with multiple cluster heads.Furthermore,the algorithm adopted some measures to diminish energy consumption.Simulation results show that the algorithm has higher balanced extent of energy dissipation and reliability of data collection,and prolongs the lifetime of network.…”
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Alternative RNA Splicing in Cardiac Diseases by Junli Gao, Yanan Zhang, Meiyu Hu, Tao He, Xiaohang Yin, Tian Hao, Guoping Li, Junjie Xiao

“…In the cardiovascular system, AS of transcripts of sarcomere, ion channel, and cell signaling protein genes, as well as long non-coding RNAs, can contribute to the development of cardiovascular diseases. In addition, multiple hereditary heart-related diseases are caused by mutations associated with AS. …”
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