EXPERIMENTAL STUDY ON MILLING SURFACE QUALITY OF TC18 TITANIUM ALLOY by WANG YongXin, ZHANG ChangMing

“…Two prediction models（exponential model and multiple quadratic regression model） were established by using taguchi and optimization module design methods, and multi-objective genetic algorithm and response surface method were respectively used for parameter optimization aiming at improving surface quality and machining efficiency.The results show that: The order of influence of each parameter on the surface roughness is feed f>milling depth a_p>milling width a_e>speed of mainshaft n; The multiple quadratic regression model has higher significance and the surface topography obtained from the combination of response surface optimization parameters is optimal. …”
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Analysis and Optimization on Transmission Accuracy of Shoulder Joint Reducer for an Upper Limb Rehabilitation Robot by Zou Shuaidong, Wang Guangjian, Xie Guanghui, Hou Jingming, Yang Renqiang, Sun Fanwei

“…Based on the analytical model of shoulder joint transmission accuracy, the output torque fluctuation caused by transmission error is analyzed and particle swarm optimization algorithm is adopted to optimize transmission accuracy under the condition of constant machining accuracy, so as to improve the output torque fluctuation caused by transmission error of the shoulder joint of the upper limb rehabilitation robot to avoid the secondary injury of the patients.…”
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Video Traffic Flow Analysis in Distributed System during Interactive Session by Soumen Kanrar, Niranjan Kumar Mandal

“…The proposed session based optimum storage finding algorithm reduces the search hop count towards the remote storage-data server. …”
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Conflict Resolution Strategy Based on Flight Conflict Network Optimal Dominating Set by Minggong Wu, Wenda Yang, Kexin Bi, Xiangxi Wen, Jianping Li

“…In the process of solving the optimal dominating set of the network, we introduce the immune mechanism based on the particle swarm algorithm (PSO) and ensure the priority deployment of a critical aircraft and high-risk conflicts by setting two types of antigens, nodes and connected edges. …”
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Multi-node cooperative distributed offloading strategy in V2X scenario by Dun CAO, Yingbao ZHANG, Dian ZOU, Jin WANG, Qiang TANG, Baofeng JI

“…In order to cope with the dynamic changes of the offloading environment for computing resource-intensive and separable tasks in Internet of vehicle and deal with the problem that different collaborative nodes had different communication and computing resources, a distributed offloading strategy that multiple collaborative nodes had serial offloading mode and parallel computing mode in vehicle to everything (V2X) scenario was proposed.Utilizing the predictable motion trajectories of vehicle, the tasks were split into unequal parts, finally each part was computed on itself, mobile edge server, and vehicles in parallel.Then an optimization problem of the system time delay minimization was established.To solve the optimization problem, an offloading scheme based on the game theory was designed to determine the serial offloading execution order of the cooperative nodes.Considering the dynamic characteristics of Internet of vehicles, a sequential quadratic programming (SQP) algorithm was adopted to optimally split tasks.Finally, the simulation results show that the proposed strategy can effectively reduce system delay, and when multiple cooperative nodes offload in parallel, the proposed strategy can still maintain the stable system performance under the different parameter conditions.…”
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Hybrid Fingerprinting-EKF Based Tracking Schemes for Indoor Passive Localization by Salar Bybordi, Luca Reggiani

“…Additionally, in order to improve accuracy of ranging, we investigate the impact of a priori knowledge related to the clusters impulse responses and other features; the applied so called soft ranging algorithm for time of arrival (TOA) estimation is modified in order to take advantage of this a priori information and to make its decision variables more accurate. …”
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Optimum Design Research on the Link Mechanism of the JP72 Lifting Jet Fire Truck Boom System by Guo Tong, Wang Jiawen, Liang Yingnan, Peng Buyu, Liu Tao, Liu Yiqun

“…The fmincon function was used to realize the sequential quadratic programming (SQP) algorithm, which is one of the most effective methods to solve the constrained nonlinear optimization problems, for the optimal design. …”
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Research on unsupervised domain adaptive bearing fault diagnosis method by WU ShengKai, SHAO Xing, WANG CuiXiang, GAO Jun

“…Aiming at the problem that the bearing fault diagnosis algorithm based on deep learning has poor diagnosis performance when the fault samples are lack of labels in different working conditions and real environmentsly, an unsupervised domain adaptive bearing fault diagnosis method was proposed to realize the unsupervised fault diagnosis of bearings under different working conditions. …”
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Swarming Computational Procedures for the Coronavirus-Based Mathematical SEIR-NDC Model by Suthep Suantai, Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Watcharaporn Cholamjiak

“…The swarming procedure based on the particle swarm optimization (PSO) works as a global search, while the sequential quadratic programming (SQP) is used as a local search algorithm. A merit function is constructed by using the nonlinear dynamics of the SEIR-NDC mathematical system based on its 7 classes, and the optimization of the merit function is performed through the PSOSQP. …”
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ROLLER BEARING FAULT RECOGNITION METHOD BASED ON CYCLIC AUTOCORRELATION AND MULTI-DOMAIN KERNEL LIMIT LEARNING MACHINE by WANG XiaoHui, WANG GuangBing, XIANG JiaWei, HUANG Zhen, SUI GuangZhou

“…According to characteristics of the bearing signal,the second-order cyclic demodulation information was introduced into machine learning,and a multi-domain kernel extreme learning machine（MKELM） based on the combination of cyclic autocorrelation（CAF） frequency domain features and time domain features（TD） was proposed to accurately identify the bearing status.The algorithm constructed a CAF function based on the second-order cyclic characteristics of the bearing signal to extract the cyclic frequency domain features of the samples,then combined them with the time domain feature quantities of the samples.The matching factors of multi-domain feature vectors was designed to fuse TD and CAF feature vectors; finally,the fused CAF-TD sample features was input into the kernel extreme learning machine for cluster regression.The spindle bearing experimental results show that the cyclic frequency domain statistics extracted based on CAF can sensitively reflect the signal characteristics.Compared with the classic classifier,the CAF-TD multi-domain kernel extreme learning machine can extract more feature information from limited samples and obtain more accurate diagnostic result.…”
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Study on the Rolling Bearing Fault Diagnosis based on the Hilbert Envelope Spectrum Singular Value and IPSO-SVM by Qin Bo, Sun Guodong, Zhang Liqiang, Liu Yongliang, Zhang Chao, Wang Jianguo

“…Firstly,the rolling bearing signal is divided by EMD,it selects IMFs that contains main characteristics of signal for Hilbert demodulation envelope analysis to obtain envelope matrix and the singular value decomposition is carried out. Secondly,the IPSO algorithm is used to optimize the penalty coefficient and the structural parameters of SVM to set up the rolling bearing fault classification model. …”
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Bayesian Classifier with Simplified Learning Phase for Detecting Microcalcifications in Digital Mammograms by Imad Zyout, Ikhlas Abdel-Qader, Christina Jacobs

“…Followed by an estimation of the classifier's decision function parameters, a mammogram is segmented into the identified targets (MCs) against background (healthy tissue). The proposed algorithm has been tested using 23 mammograms from the mini-MIAS database. …”
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Negative and Positive Association Rules Mining from Text Using Frequent and Infrequent Itemsets by Sajid Mahmood, Muhammad Shahbaz, Aziz Guergachi

“…In this paper, we propose an algorithm for discovering positive and negative association rules among frequent and infrequent itemsets. …”
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Tooth Flank Mismatch Meshing Analysis for Spiral Bevel Gear Based on Tilt Cutting Method by Shaowu Nie, Sicheng Tang, Juhua Huang, Hua Zhang, Changfa Lai, Yong Xu

“…Compared with the traditional tooth flank meshing analysis method，the proposed method not only reduces the number of equations，but also makes the algorithm more stable. The Ease off topology can visually display the whole tooth flank mesh state and improve the current TCA output.…”
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Observation and Numerical Simulation of Terrain-Induced Windshear at the Hong Kong International Airport in a Planetary Boundary Layer without Temperature Inversions by P. W. Chan, K. K. Hon

“…Moreover, the windshear detection algorithm as applied to the AVM output, called AVM-GLYGA, is able to give advance alert for the occurrence of low-level windshear. …”
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Generalised antenna functions for higher-order calculations by Elliot Fox, Nigel Glover, Matteo Marcoli

“…The construction of such objects is possible thanks to the recently proposed algorithm for building idealised antenna functions from a target set of infrared limits. …”
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An advertisement dissemination strategy with maximal influence for Internet-of-Vehicles by Yanfei Lu, Zihan Zhao, Bowu Zhang, Qinghe Gao

“…Simulation results demonstrate that the proposed algorithm outperforms existing methods for influence maximization by running time and deliver ratio under different traffic scenarios.…”
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Joint transmit filter and sparse array design with transmit subaperturing FDA‐MIMO radar by Zihang Ding, Junwei Xie

“…However, the optimisation problem is non‐convex. A cycle iteration algorithm is proposed to obtain the optimal transmit filters and sparse array. …”
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Large-Scale Group Decision-Making Model with Cooperative Behavior Based on Social Network Analysis considering Propagation of Decision-Makers’ Preference by Shizhen Bai, Hao He, Mengke Ge, Ruobing Yang, Dan Luo, Xinrui Bi

“…In addition, the score for the current cooperation situation is performed, and the improvement algorithm of the increase of cooperative degree and the decrease of noncooperative degree is designed to enhance the quality of the decision-making results. …”
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Research of Remaining Useful Life Prediction of Gear based on Exponential Smoothing and Improved Incremental SVR by Liu Zhenxiang, Chen Xiaohui

“…Meanwhile,the improved incremental SVR prediction model is constructed based on incremental Latin hyper- cube sampling（ LHD） and Direct search algorithm. Compared with the standard SVR prediction model based on original characteristic values,the interference of signal randomness and mutation of the new model sre overcome,furthermore,the latest evolution trend information of the gear status is obtained,the optimization effect and prediction performance is obviously improved. …”
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