Tennis Assistance Technology Based on Dynamic Time Warping Algorithm by Penggang Wang, Pengpeng Zhang, Guanxi Fan

“…In view of this research, a tennis sports assistance technology based on dynamic time warping algorithm is developed. By collecting athletes’ motion data and using dynamic time warping algorithm for motion similarity analysis, personalized technical improvement suggestions are provided for athletes. …”
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Algorithm for k-anonymity based on projection area density partition by Chao WANG, Jing YANG, Jian-pei ZHANG, Gang LV

“…In data publishing privacy preserving,while classifying temporary anonymous groups,the existing algorithms didn’t consider the distance between adjacent data points,and could easily produce a lot of unnecessary information loss,thus affecting the availability of released anonymous data sets.To solve the above problem,the concept of rectangular projection area,the projection area density and partition coefficient characterization were presented,aim to increase the recording points’s projection area density to divide temporary anonymous group reasonably,and to make the information loss of divided anonymous groups as small as possible.And presents the algorithm for k-anonymity based on projection area density partition,by optimizing the rounded partition function and properties dimension selection strategy,to reduce unnecessary information loss and to further improve the availability of released data sets,without reducing the number of anonymous groups.The rationality and validity of the algorithm are verified by theoretical analysis and multiple experiments.…”
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Mutable Composite Firefly Algorithm for Microarray-Based Cancer Classification by Fathima Fajila, Yuhanis Yusof

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An Improved Unscented Kalman Filter Algorithm for Radar Azimuth Mutation by Dazhang You, Pan Liu, Wei Shang, Yepeng Zhang, Yawei Kang, Jun Xiong

“…An improved UKF (Unscented Kalman Filter) algorithm is proposed to solve the problem of radar azimuth mutation. …”
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A novel chaotic interleaving algorithm for mobile wireless channels by Xianping WANG, Hui CAO

“…Interleaving technique is an efficient technique to resist serious burst errors over mobile wireless fading channels.To resist 2 dimensionality burst errors effectively,a novel chaotic interleaving algorithm based on Baker map was proposed.In the proposed scheme,the binary source sequence was converted to the data matrix,and then the data matrix was dispersed randomly by using the chaotic Baker map approach,in order to realize the function of transforming 2 dimensionality long bust error into the short 1 dimensionality short bust error after de-interleaving.In additional,the proposed algorithm was combined with the convolution code based on Viterbi decoding,and was applied into the scenario of convolutional codes (2,1,3) and the scenario of (2,1,7) separately for a performance comparison.The simulation results show that the performance of the proposed algorithm outperforms better than the traditional algorithms under image transmission over mobile wireless channel.Moreover,the anti-fading capability of the proposed algorithm grows as the packet length increases,while reducing the complexity significantly.Finally,the chaotic interleaver can also enhance every transmitted packet's security with different secret keys.…”
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Image defogging algorithm based on guided filtering and adaptive tolerance by Xianli JIN, Wei ZHANG, Linfeng LIU

“…Aiming at the problem of distortion of dark channel algorithm in defogging the sky region,an improved image defogging algorithm based on the guided filtering and adaptive tolerance mechanism was proposed.Firstly,the fitted transmissivity graphs were calculated for the windows with different sizes.Then,the transmissivity was further refined by the guided filtering technique.After that,the transmissivity in sky area was revised by an adaptive tolerance mechanism.Finally,the restored image was converted from RGB space to HSV space,and thus the brightness and contrast of the images could be color compensated.Experimental results show that the proposed algorithm restores the images effectively and obtain preferable defogging results with regard to the processing of bright areas such as the sky areas.…”
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Natural Neighborhood-Based Classification Algorithm Without Parameter k by Ji Feng, Yan Wei, Qingsheng Zhu

“…This article introduces a new supervised classification algorithm, Natural Neighborhood Based Classification Algorithm (NNBCA). …”
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Independent semantic feature extraction algorithm based on short text by HU Jia-ni, GUO Jun, DENG Wei-hong, XU Wei-ran

“…An independent semantic feature extraction algorithm was proposed,aiming at reducing the sparseness of short text and enhancing its capability of semantic expression.The algorithm first makes use of latent semantic indexing to re-duce the dimension and wipe off noise,and then it introduces independent component analysis to extract statistic inde-pendent and semantic features.Experimental results prove the feasibility of the algorithm and demonstrate it is superior to latent semantic indexing.…”
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An Extrapolated Iterative Algorithm for Multiple-Set Split Feasibility Problem by Yazheng Dang, Yan Gao

“…In this paper, we present an accelerated algorithm by introducing an extrapolated factor to solve the multiple-set split feasibility problem. …”
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Research on PSO-based intuitionistic fuzzy kernel clustering algorithm by UXiao-dong Y, EIYing-jie L, UEShao-hua Y, ANGRui W

“…The intuitionistic fuzzy kernel c-means clustering algorithm has several problems such as sensitivity to the ini-tial value,low convergence speed,etc.To overcome these shortages,the particle swarm optimization (PSO) algorithm with powerful ability of global search and quick convergence rate is applied to intuitionistic fuzzy clustering.Firstly,PSO is used to optimize the initial clustering centers.Then,the approach of intuitionistic fuzzy kernel clustering based on PSO,namely PS-IFKCM,is proposed.This algorithm can enhance both the clustering ability and the convergence speed.Fi-nally,experiments based on four measured datasets are carried out to illustrate the performance of the proposed method.Compared with results from FCM and IFKCM,PS-IFKCM is of great efficiency for classification.…”
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Dynamic bandwidth allocation algorithm based on transmission rate adaptation by Geng CHEN, Wei-wei XIA, Lian-feng SHEN

“…A dynamic bandwidth allocation algorithm was proposed based on the transmission rate adaptation to guaran-tee the quality of service (QoS) for multi-service in heterogeneous wireless network. …”
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Adaptive Multihypothesis Prediction Algorithm for Distributed Compressive Video Sensing by Jinxiu Zhu, Ning Cao, Yu Meng

“…A novel adaptive multihypothesis (MH) prediction algorithm for distributed compressive video sensing (DCVS) is proposed in this paper. …”
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Research on Gearbox Fault Diagnosis based on Improved LMD Algorithm by Haibo Xing, Yue Chen, Jinghao Li

“…Firstly，in order to reduce the modal aliasing problem of the Local Mean Decomposition （LMD） algorithm，an optimized rational spline interpolation algorithm is introduced to the construction of the envelope curve. …”
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Improved Algorithm for ODCT Computation of a Running Data Sequence by S. Akhter, V. Karwal, R. C. Jain

“…The complexity of developed algorithm is O(N). The validity of algorithm is tested by MATLAB simulations.…”
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An algorithm for cardiac disease detection based on the magnetic resonance imaging by Heng Li, Qingni Yuan, Yi Wang, Pengju Qu, Chunhui Jiang, Hu Kuang

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An Adaptive Evolutionary Algorithm for Traveling Salesman Problem with Precedence Constraints by Jinmo Sung, Bongju Jeong

“…The efficiency of the algorithm is investigated by computational experiments.…”
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Channel width adaptation algorithm in multi-channel vehicular networks by PENG Xin, LI Ren-fa, LIU Liang-jiao

“…Aiming at the low utilization of spectrum resource in vehicular networks,an algorithm base on semidefinite programming was presented,which could be utilized to channel width adaptation of multi-channel vehicular networks.Firstly,the algorithm need to measure the distance with the surrounding vehicles to compute conflict graph.And then the semidefinite programming relaxation was employed to coordinate the competition of spectrum resource.Finally,the ultimate channel width adaptation was computed based on the initial channel assignment and compression process.Simulation results demonstrated that the new algorithm not only can promote network throughput,but also perform well on extremely dynamic topology.…”
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Improved KNN Algorithm Based on Preprocessing of Center in Smart Cities by Haiyan Wang, Peidi Xu, Jinghua Zhao

“…The KNN algorithm is one of the most famous algorithms in machine learning and data mining. …”
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Test case minimizing based on combination chaos genetic algorithm by Qing SHEN, Yunliang JIANG, Zhangguo SHEN, Jungang LOU

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Minimum Cost Flow Model and Algorithm of Virtual Network Embedding by Xiaohua Chen, Chunzhi Li, Liangyu Chen, Zhenbing Zeng

“…The dynamic process of network virtualization was studied,and the inversion phenomenon that the revenue did not rely on embedding cost was discovered.Then minimum cost flow model and algorithms of virtual network embedding which fit for creating virtual network online on the large-scale substrate network were proposed.Simulation results reveal that the proposed algorithms can improve virtual network acceptance ratio and system revenue,and significantly reduce the time complexity of multi-path virtual link embedding algorithm which ensures real-time performance of online virtual network embedding.The inversion phenomenon also occurs in the simulation.…”
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