Evaluation of Building Seismic Capacity Based on Improved Naive Bayesian Algorithm by Yalong Li, Wei Wang, Bin Tan, Hongxia Wang

“…On the basis of the Spearman correlation coefficient calculation of the index, the improved naive Bayesian algorithm is combined with the importance of the index to build a judgment model for the seismic capacity of housing buildings. …”
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Improvement of Specific Multi-target Tracking Algorithm in Cross-domain Environment by MU Xiaofang, LI Hao, LIU Jiaji, LIU Zhenyu, LI Yue

“…[Findings] In the comparative ablation tests, the MOTA value of the improved algorithm reached 62.8%, and the IDswitch value was also significantly reduced.…”
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Analysis of Regional Economic Development Differences Based on Intelligent Hybrid Algorithm by Yanyan Li

“…Therefore, this paper's main point is on the analysis of regional economic development differences based on intelligent hybrid algorithms. On the basis of summarizing and analyzing previous research works, this paper expounded the research status and significance of regional economic development differences analysis, elaborated the development background, current status, and future challenges of intelligent hybrid algorithms, introduced the methods and principles of principal component distance weighting algorithm and sequential quadratic programming algorithm, constructed a basic model for regional economic development differences based on intelligent hybrid algorithm, conducted the construction of analysis index system and the hybrid of intelligence algorithm, analyzed the regional economic development differences based on intelligent hybrid algorithm, performed the principal component analysis and time-space change analysis of regional economic development, and finally carried out a simulation experiment and its result analysis. …”
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Research on indoor localization algorithm based on kernel principal component analysis by Hua-liang LI, Zhi-hong QIAN, Hong-liang TIAN

“…An indoor localization algorithm based on kernel principal component analysis (KPCA) was proposed.It applied KPCA to train the original location fingerprint (OLF) and extract the nonlinear feature of the OLF data at the offline stage,such that the information of all AP was more efficiently utilized.At the online stage,an improved weight k-nearest neighbor algorithm for positioning which could automatically choose neighbors was proposed.The experiments were carried out in a realistic WLAN environment.The results show that the algorithm outperforms the existing methods in terms of the mean error and localization accuracy.Moreover,it requires less times of RSS acquisition and AP number.…”
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NUMERICAL CONTROL MILLING PARAMETER OPTIMIZATION ON THE BASIS OF IMPROVED GENETIC ALGORITHM by YAN ShengLi, FU Hui, LI Hao

“…By adoption of the NDX crossover algorithm, CA sorting method and DE strategy can increase the search interval, ensure the population diversification distribution, and improve the convergence rate. …”
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K connectivity algorithm based on flow network in wireless sensor networks by Jie HU, Jie ZHAN, Baoquan REN

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Construction and Application of Music Audio Database Based on Collaborative Filtering Algorithm by Jianfei Zheng

“…Based on this background, this paper first realizes the construction of multilevel music audio database using Big Data technology and collaborative filtering algorithm. Then, through the Big Data analysis technology based on collaborative filtering algorithm, the QRE (quick reaction estimate) model is constructed and the data query system is formed. …”
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Research on seed node mining algorithm in large-scale temporal graph by Xiaohong ZOU, Chengwei XU, Jing CHEN, Biao SONG, Mingyue WANG

“…Most of the existing maximizing influence algorithms based on temporal graph were not applicable for large-scale networks due to the low time efficiency or narrow influence range.Therefore, the seed node mining algorithm named CHG combining heuristic algorithm and greedy strategy was proposed.Firstly, based on the time sequence characteristics of information diffusion in temporal graph, the concept of two-order degree of nodes was given, and the influence of nodes was heuristically evaluated.Secondly, the nodes were filtered according to the influence evaluation results, and the candidate seed node set was constructed.Finally, the marginal effect of candidate seed nodes was calculated to solve the overlap of influence ranges between nodes to ensure the optimal combination of seed nodes.The experiments were carried out on three different scale data sets, and the results show that the proposed algorithm can ensure the high influence of the seed node set even though its running time is relatively shorter.And it can achieve a better trade-off between the time efficiency and the influence range of the seed node set.…”
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Face Alignment Algorithm Based on an Improved Cascaded Convolutional Neural Network by Xun Duan, Yuanshun Wang, Yun Wu

“…Experiments show that, on the LFPW face dataset, the improved CCNN in this paper is superior to any other algorithm of the same type in positioning speed, algorithm parameter amount, and test error.…”
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AODV-HE routing algorithm based on minimum hop and energy of node by Xiang YU, Zhi PENG, Shiyan WANG, Li LIU

“…AODV routing protocol takes the minimum hop as the only basis in route selection，causing the uneven allocation of resources and reduction in network lifetime.A routing algorithm based on minimum hops and energy of node（AODV-HE）was proposed.By integrating both minimum hop and residual energy of each node，the algorithm optimized the routing mechanism and presented a selection weight of reverse routing，based on which the best route was chosen.Simulation results show that the algorithm can effectively increase packet delivery ratio and reduce the end-end delay，and it can also improve the allocation of network resources and extend network lifetime.…”
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Indoor BLE and MEMS based multi-floor fusion positioning algorithm by Mu ZHOU, Bin WANG, Zeng-shan TIAN, Qian-kun ZHANG

“…Based on the data fusion from micro electro mechanical system (MEMS) sensors and low-power bluetooth (BLE),an indoor BLE and MEMS based multi-floor positioning algorithm was proposed.First of all,the affinity propagation clustering,outlier detection and received signal strength indicator (RSSI) filtering algorithms were applied to denoise the fingerprint database.Second,by using the extended Kalman filter,the robust M estimation algorithm was used to perform the optimal estimation of the two-dimensional target position.Finally,the barometer output and geographical position information was considered to realize the height estimation of the target.The experimental results show that the proposed system is able to achieve the horizontal and vertical positioning errors lower than 0.7 m and 0.35 m respectively in multi-floor fusion positioning.…”
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The Block Principal Pivoting Algorithm for the Linear Complementarity Problem with an M-Matrix by Xi-Ming Fang, Zhi-Jun Qiao, Heng-Jun Zhao

“…The principal pivoting algorithm is a popular direct algorithm in solving the linear complementarity problem, and its block forms had also been studied by many authors. …”
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Multi-objective cloud workflow scheduling algorithm based on grid variance by Xiaoan BAO, Yundi CAO, Na ZHANG, Junyan QIAN, Jianwen CAO

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A New Numerical Algorithm for Two-Point Boundary Value Problems by Lihua Guo, Boying Wu, Dazhi Zhang

“…The numerical results show the effectiveness of the proposed algorithm.…”
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An Improved Detecting Algorithm of Moving Targets for Airborne Maritime Surveillance Radar by Zhefeng Wu, Gang Zhang, Xinchun Wang, Peng Sun, Yanchao Lin

“…To solve this problem, a novel tracking algorithm combining range envelope alignment and azimuth phase filtering is proposed. …”
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Dynamic Rendezvous Based Routing Algorithm on Sparse Opportunistic Network Environment by Jiradett Kerdsri, Komwut Wipusitwarakun

“…The results from extensive simulations show that our routing algorithm can achieve higher delivery ratio and utilize lower energy consumption than traditional opportunistic routing algorithms especially in sparse network environment.…”
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Kinematics Analysis of Grasping Manipulator based on ART-RBF Learning Algorithm by Kai Wang, XiaoJin Wan

“…The results show that the soft competition algorithm can improve the prediction accuracy to a certain extent. …”
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Parameter Extraction of Solar Photovoltaic Modules Using Gravitational Search Algorithm by R. Sarjila, K. Ravi, J. Belwin Edward, K. Sathish Kumar, Avagaddi Prasad

“…A critical evaluation and comparison of gravitational search algorithm with other optimization techniques such as genetic algorithm are given. …”
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Collaborative filtering recommendation algorithm based on one-jump trust model by Xing-mao WANG, Xing-ming ZHANG, Jiang-xing WU

Subjects: “…recommendation algorithm…”
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GENETIC ALGORITHM IN OPTIMIZATION DESIGN OF INTERIOR PERMANENT MAGNET SYNCHRONOUS MOTOR by Phuong Le Ngo

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