Exploring the potential of blockchain technology for citizen engagement in smart governance [version 4; peer review: 1 approved, 3 approved with reservations] by Rebecca Marconi, Edna Pasher, Niccolò Testi

“…By examining the benefits of BCT in various aspects of smart city systems, such as data security and privacy, the paper highlights the advantages of implementing consortium blockchain architecture and the Proof of Authority (PoA) consensus algorithm and discusses the challenges of scalability and security concerns. …”
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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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Design of Integral Variable Structure Controller in Speed Tracking of Wind Driven Generator by Linlin Wang, Lixin Pan

“…Adaptive estimation for wind disturbance and uncertain parameters of system dynamics model is adopted to derive control algorithm for rotation torque in the process of generator speed tracking. …”
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A Novel System and Iterative Schemes for Generalized Variational Inclusion Problems and its Approximation Solvability by Mohd Sarfaraz, Md. Kalimuddin Ahmad

“…Here in this study, we investigate the approximation solvability of solutions for the system of generalized nonlinear ordered variational inclusions using an iterative algorithm under some apt conditions. We employ the resolvent operator techniques in our iterative scheme as a baseline. …”
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Safety Characteristic Evaluation of Cage in Cylindrical Roller Bearing at the Stage of Start-Up and Stop by Zhang Wenhu, Wu Zhimin, Deng Sier, Zhang Song, Tian Heng, Yang Haisheng

“…The dynamics model of cylindrical roller bearing (CRB) in aeroengine main shaft was promoted and solved by Hilber–Hughes–Taylor (HHT) integer algorithm with variable step in combination with symmetric multiprocessing (SMP) parallel solving technology, and a finite element model of roller to cage contact was built. …”
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Online Dynamic Tip-Over Analysis for a Wheeled Mobile Dual-Arm Robot with an Improved Tip-Over Moment Stability Criterion by Xianhua Li, Liang Wu, Qing Sun, Tao Song

“…This paper presents an improved tip-over moment stability criterion dealing with the dual arm and mobile platform interaction and proposes an algorithm for calculating the tip-over stability margin of the arm end in the workspace to analyze the dynamic stability of the wheeled mobile dual-arm robot. …”
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Radar marine maneuvering target detection via high resolution sparse fractional ambiguity function by Xiaohan YU, Xiaolong CHEN, Jian GUAN, Yong HUANG

“…To solve the problem of fast detection of high maneuvering targets in complex ocean background,a radar target detection algorithm via sparse fractional ambiguity function (SFRAF) was proposed.The sparse Fourier transform (SFT) was introduced after instantaneous autocorrelation function calculation,which combines the advantages of SFT and fractional ambiguity function (FRAF).Therefore,SFRAF has good processing performance on high maneuvering signals and can achieve lower computational complexity.The simulation experiments and the measured data processing results show that compared with classical detection method,the detection performance of maneuvering target can be significantly improved,and compared with FRAF,the proposed method can achieve higher detection efficiency.…”
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Federated learning based intelligent edge computing technique for video surveillance by Yu ZHAO, Jie YANG, Miao LIU, Jinlong SUN, Guan GUI

“…With the explosion of global data,centralized cloud computing cannot provide low-latency,high-efficiency video surveillance services.A distributed edge computing model was proposed,which directly processed video data at the edge node to reduce the transmission pressure of the network,eased the computational burden of the central cloud server,and reduced the processing delay of the video surveillance system.Combined with the federated learning algorithm,a lightweight neural network was used,which trained in different scenarios and deployed on edge devices with limited computing power.Experimental results show that,compared with the general neural network model,the detection accuracy of the proposed method is improved by 18%,and the model training time is reduced.…”
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Competitiveness of city geo-brand assessment: selecting the research methodology by I. Yu. Aleksandrova

“…The author’s interpretation of a city geo-brand concept has been offered, the features of a city geo-brand concept choice, algorithm of its assessment, and evaluation parameters diagnostics methods analyzed. …”
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An Approach to Situational Data Integration Based on Data Service Hyperlink by Guiling Wang, Feng Zhang, Yanbo Han

“…Enlightened by web page hyperlink，a novel abstraction“data service hyperlink”for linking and integrating data was proposed.With the help of “data service hyperlink”，users can explicitly describe the relationship between data sources.Based on data service hyperlink，the approach to just-in-time data service construction was proposed to enable users integrate data while navigating data services.A data service hyperlink recommendation algorithm was also discussed to help users select proper data service hyperlink to deal with the temporary requirements.A case-study and some experiments how to build a situational data integration application based on data service hyperlink efficiently were presented.…”
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Adaptive Dual-Polarization Filtering Method for Countering Active Jamming by Qiang Zhang, Rui Zhou, Xianbo Shi, Yixin Zhao

“…Finally, the specific polarization filtering algorithm and the output criterion of the optimal filtering results are given. …”
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Research of the Operational Modal Parameter Identification Technology and Application based on QICA by Zhang Rui, He Changde, Huang Jinying, Zhang Yongmei, Xue Chenyang, Zhang Wendong

“…Aiming at the major difficulties of OMA method based on vibration signals such as low noise-robust ability,high subjective experience and poor accuracy in identifying parameters and more complex recognition method,a new method of OMA on the basis of QICA is studied.Through the LMS modal experimental data algorithm analysis,the QICA modal parameter identification technology operates simply,and can effectively eliminate noise interference.Finally,regards taking of gearbox modal frequency of the five kinds of working condition recognized by the QICA as characteristic parameter of fault diagnosis,the changes of any kind of model frequency on gearbox fault working condition are compared and analyzed,and the goal of the fault identification is achieved.…”
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Model Predictive Control in Multilevel Inverters Part II: Renewable Energies and Grid Applications by Margarita Norambuena, Andres Mora, Cristian Garcia, Jose Rodriguez, Mokhtar Aly, Fernanda Carnielutti, Javier Pereda, Cristian Castillo, Zhenbin Zhang, Venkata Yaramasu, Luca Tarisciotti, Yafei Yin

“…This article presents the use of model predictive control (MPC) in multilevel inverters for some applications, such as, first, wind generation and, second, photovoltaics, showing that the particular restrictions of each of them can be very easily included in the control algorithm, which is an important advantage of this technique. …”
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Cooperative service caching and peer offloading in Internet of vehicles based on multi-agent meta-reinforcement learning by Zhaolong NING, Kaiyuan ZHANG, Xiaojie WANG, Lei GUO

“…In order to reduce computation complexity, a two-layer mutli-RSU (road side unit) service caching and peer offloading algorithm (MPO) was proposed to decouple the optimization problem.In the designed MPO, the outer layer utilized multi-agent meta-reinforcement learning, which established long short-term memory (LSTM) network as the meta-agent to balance decisions of local agents and accelerate learning progress.The inner layer utilized lagrange multiplier method to achieve optimal decision for RSU peer offloading.Experimental results based on real traffic data in Hangzhou demonstrate that the proposed method outperforms other methods and remains robust under large-scale workloads.…”
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Sensitivity Analysis of the Locus Reliability of Linear Motion Mechanism by Wu Jiping, He Bing, Hu Weilin

“…To improve the locus accuracy of linear motion mechanism with uncertainty factor,the analytical algorithm of locus reliability sensitivity analysis for linear motion mechanism is presented. …”
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DOA Estimation Based on Sparse Signal Recovery Utilizing Double-Threshold Sigmoid Penalty by Hanbing Wang, Hui Li, Bin Li

“…This paper proposes a new algorithm based on sparse signal recovery for estimating the direction of arrival (DOA) of multiple sources. …”
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Research on wormhole attacks in wireless mesh networks by FU Ying-fang1, ZHANG Xing1, ZHANG Ting1, LUAN Liang-yu3

“…In order to detect the wormhole attacks effectively in wireless mesh network,a wormhole attack model ac-cording to the MR-LQSR（multi-radio link-quality source routing） protocol proposed by Microsoft was presented.Then,the characteristics of wireless mesh networks and wormhole attack were considered,a wormhole attack detection scheme for wireless mesh networks based on a combination of techniques,such as wormhole attack detection algorithm based on end-to-end,distributed voting,guard detection scheme and identity-based cryptosystem was proposed.Through theory analysis and experiments,the wormhole attack detection scheme not only can detect the wormhole attacker effectively but also improve the security of wireless mesh network.…”
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Survey of federated learning research by Chuanxin ZHOU, Yi SUN, Degang WANG, Huawei GE

“…Federated learning has rapidly become a research hotspot in the field of security machine learning in recent years because it can train the global optimal model collaboratively without the need for multiple data source aggregation.Firstly, the federated learning framework, algorithm principle and classification were summarized.Then, the main threats and challenges it faced, were analysed indepth the comparative analysis of typical research programs in the three directions of communication efficiency, privacy and security, trust and incentive mechanism was focused on, and their advantages and disadvantages were pointed out.Finally, Combined with application of edge computing, blockchain, 5G and other emerging technologies to federated learning, its future development prospects and research hotspots was prospected.…”
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Optimal cross-layer power allocation with channel and queue state information by CHEN Wei1, CAO Zhi-gang1, FAN Ping-yi1, LETAIEF K B2

“…The optimal power allocation was investigated when both channel and queue state information was taken into account.By modeling the system from a cross-layer perspective,an optimization problem was formulated on power allo-cation where the maximal power requirement of a user was determined by the number of its backlog packets.The ana-lytical solution as well as its algorithm,which refer to as water filling in cellar（WFIC）,were proposed.The proposed WFIC can be reduced to traditional water-filling（TWF） method as a special case where queue state was ignored.Simula-tion results show that the proposed method can achieve lower queuing delay compared to conventional methods.…”
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ORGANIZATIONAL-METHODICAL BASES OF THE FUNCTIONALLY-ORIENTED TRAINING OF SPECIALISTS IN THE STRUCTURE OF REGIONAL EDUCATIONAL CLUSTER by Pavel G. Kravtsov, Valentin N. Mikhelkevich

“…The article gives a definition of "regional educational cluster", RAS-considered its structure, socio-didactic value. The algorithm of creation and development of the education cluster in a particular region. …”
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