SPMSM Sliding Mode Control Based on the New Super Twisting Algorithm by Lei Zhang, Jing Bai, Jing Wu

“…To achieve the high-performance control of the surface-mounted permanent magnet synchronous motor (SPMSM) speed control system, this paper proposes a high-order sliding mode control strategy based on a new super twisting algorithm (NSTA). This strategy introduces an adaptive term in its proportional term based on the original super twisting algorithm, which solves low reaching speed and poor antidisturbance ability due to the square root calculation of proportional term in the original super twisting algorithm. …”
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Trust-Based Cooperative Spectrum Sensing Algorithm in Power Dedicated Network by Jinping Cao, Wei Li, Yiying Zhang

“…To fulfill the communication needs of smart distribution and utilization system,a novel power dedicated network has been developed.The system faces a problem that it may operate coexisted with a 230 data transceiver system.In order to keep the two systems operating stably and efficiently at the same time,a trust-based cooperative spectrum sensing algorithm was presented.According to the characteristics of user behavior,cognitive radio users were classified into fiduciary users,lapsed users and malicious users.By analyzing the relationship among detection result,credibility of cognitive radio users and communication channel signal-to-noise ratio,the credibility weight of cognitive radio users was given,and a trust-based cooperative spectrum sensing algorithm was proposed.The simulation results show that the algorithm improves detection performance effectively.…”
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High-precision indoor fast positioning algorithm based on carrier phase by Shaoshuai FAN, Zhiqiang RONG, Hui TIAN, Lihua LI

“…In order to improve the positioning accuracy and the speed of position solution in indoor wireless environment, a high-precision indoor fast positioning algorithm based on carrier phase was proposed.By introducing the reference terminal, the influence of clock error between devices on the accuracy of the positioning algorithm was completely eliminated by using the double difference between the carrier phase measurements of the terminal to be positioned and the reference terminal.Taking advantage of the invariability of integer ambiguity during the phase-locked loop lock-off, an iterative integer ambiguity resolution algorithm based on multi-time point measurement data was designed, and the fast integer ambiguity resolution was realized.After the integer ambiguity was solved, the terminal to be located could be located with high precision by using accurate carrier phase difference measurement.The simulation results show that the positioning algorithm proposed can completely overcome the influence of clock error on positioning performance, and can achieve centimeter-level positioning accuracy at very few sampling time points.…”
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A differential feedback scheduling decision algorithm based on mimic defense by Ming GAO, Jin LUO, Huiying ZHOU, Hai JIAO, Lili YING

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Multi-Focus Image Fusion Using Energy Valley Optimization Algorithm by Harun Akbulut

Subjects: “…comparison of meta-heuristic algorithm…”
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Hybrid RZF precoding algorithm for mmWave massive MIMO system by Bin XIE, Shumin XIE, Shurui LIU

“…Based on the consideration of the channel characteristic, the analog precoding vectors and analog combining vectors were designed according to the antenna array response vectors of transmitting and receiving ends,respectively.Then a low dimension digital precoding was used to eliminate the influence of system noise and inter-user interference on the basis of the effective channel matrix.Simulation results show that,on the basis of effectively reducing the number of RF chain required by the system, the proposed hybrid precoding algorithm approach the performance of the full digital precoding.…”
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Binocular stereo vision-based relative positioning algorithm for drone swarm by Qing Cheng, Yazhe Wang

“…Experimental results demonstrate that the combination of Yolo-SGN and the Oriented FAST and Rotated BRIEF (ORB) algorithm reduces feature point matching computations to only a quarter of those in the original ORB algorithm, significantly enhancing real-time performance. …”
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Chaos-based encryption and message authentication algorithm for wireless sensor network by Tie-ming CHEN, Liang GE

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Graph attention, learning 2-opt algorithm for the traveling salesman problem by Jia Luo, Herui Heng, Geng Wu

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An Application of Subgroup Discovery Algorithm on the Case of Decentralization and Quality of Governance in EU by Lan Umek

“…The paper presents a subgroup discovery algorithm which is capable of analysing two sets of several variables, and uses it for the analysis of EU countries. …”
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Crack Recognition Algorithm Integrating Attention Mechanism and Region Growth Method by LING Xiaokang, ZHAN Jie, MA Jianfei

“…To optimize traditional crack identification methods,improve the robustness and accuracy of the crack identification method,and realize automatic crack identification,this paper proposes a crack recognition algorithm integrating attention mechanism and region growth.It establishes dynamic thresholds and obtains the crack results under different thresholds by employing the region growth method.The attention mechanism is introduced to assign different weight coefficients to each pixel of the image according to the crack identification under dynamic thresholds for more accurate crack recognition results.Finally,the characteristic information of cracks is determined by the length of the crack skeleton and the area occupied by the crack region (length and average width of the crack).Through verifying field crack images,the results show that the crack characteristic information identified by the crack identification method integrating attention mechanism and region growth is basically consistent with the actual crack characteristics.The method features strong robustness and identification accuracy,which provides support for engineering health monitoring.…”
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Improved Compressed Sensing Reconfiguration Algorithm with Shockwave Dynamic Compensation Features by Mingchi Ju, Yingjie Dai, Tailin Han, Yingzhi Wang, Bo Xu, Xuan Liu

“…We compare the proposed algorithm with similar compression-aware reconstruction and dynamic compensation algorithms under the shock tube test and measured shock wave signals. …”
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Multiscale Distance Coherence Vector Algorithm for Content-Based Image Retrieval by Zeng Jiexian, Liu Xiupeng, Fei Yu

“…Multiscale distance coherence vector algorithm for content-based image retrieval (CBIR) is proposed due to the same descriptor with different shapes and the shortcomings of antinoise performance of the distance coherence vector algorithm. …”
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Network function heterogeneous redundancy deployment method based on immune algorithm by Qingqing ZHANG, Hongbo TANG, Wei YOU, Yingle LI

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Multiobjective Collective Decision Optimization Algorithm for Economic Emission Dispatch Problem by Xinlin Xu, Zhongbo Hu, Qinghua Su, Zenggang Xiong

“…The collective decision optimization algorithm (CDOA) is a new stochastic population-based evolutionary algorithm which simulates the decision behavior of human. …”
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A Novel Prescribed-Time Convergence Acceleration Algorithm with Time Rescaling by Xuehui Mei, Pengrui Zhang, Haijun Jiang, Zhiyong Yu

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COSMIC: A Galaxy Cluster–Finding Algorithm Using Machine Learning by Da-Chuan Tian, Yang Yang, Zhong-Lue Wen, Jun-Qing Xia

“…In this paper, we present Cluster Optical Search using Machine Intelligence in Catalogs (COSMIC), an algorithm utilizing machine learning techniques to efficiently detect galaxy clusters. …”
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Modified absolute value cumulating spectrum sensing algorithm in cognitive radio by Zhiyong HE

“…Absolute value cumulating (AVC) algorithm is a common spectrum sensing method in Laplacian noise (LED) surroundings,however,the ‘spikes or outliers' in Laplacian noise can't be fully smoothed,which results in bad detection performance.Aiming at this problem,an modified AVC spectrum sensing algorithm was proposed.The principle was to do the processing of the absolute value of the received signal and the processing result was accumulated as the test statistic to determine whether there was the main user and realize the spectrum sensing.In addition,the central limit theorem was used to deduce the probability density curve of the proposed test statistic in the absence of the primary user,and the theoretical decision threshold was given.Numerical results show that the proposed algorithm outperforms the AVC sensing algorithm and energy detection algorithm with Laplacian noise about 1 dB and 4 dB respectively.…”
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Heterogeneous Wireless Network Resource Management Algorithm Based on Reinforcement Learning by Chenwei Feng, Jiangnan Yuan

“…In order to make full use of the resources of all kinds of wireless network，the integration of heterogeneous network is necessary.However，when it comes to the heterogeneous network integration，the problems of call request access control and resource management emerge.A reinforcement-learning-based algorithm was presented for heterogeneous wireless network resource management.D2D （device-to-device）communication was introduced into the proposed algorithm and the appropriate network for access could be selected according to different traffic types，terminal mobility，network load status and so on.Meanwhile，to reduce the storage requirement，the neural network technology was used to solve the problem of continuous state space.Simulation results show that the proposed algorithm has an efficient learning ability to achieve autonomous radio resource management，which effectively improves the spectrum utility and reduces the blocking probability.…”
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Optimization of Tourism Information Analysis System Based on Big Data Algorithm by Jing Yang, Bing Zheng, Zhenghua Chen

“…The preprocessing methods and methods adopted by the data preprocessing module are analyzed in detail, and the algorithms used in the travel route analysis and consumer spending ability analysis are described in detail. …”
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