Planning algorithm of small cell deployment scheme by Yang LIU

“…With the rapid development of mobile network,small cell is more and more important in the construction of LTE network.A best small cell deployment scheme named association-AHP was proposed.Combining the analytic hierarchy process with the gray relational analysis method,the relationship between each deployment plan and index parameter was determined,and each plan was ranked.Finally,the best small cell deployment scheme was obtained.Simulation results indicate that association-AHP performs better than traditional algorithms in ROI,and it can improve user satisfaction.…”
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Approximate algorithm for median query based on WSN by LIU Cai-ping1, MAO Jian-xu2, LI Ren-fa1, FU Bin1

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Flood Diversion Algorithm for Anticollision in RFID System by Hua Huo, Jun Qiang Liu, Yong Jie Wang

“…Simulation experiment results show that FDAC is superior to the dynamic frame slotted (DFS) Aloha algorithm, the binary-retreat tree algorithm (BRT) and the dynamic binary-search tree (DBST) algorithm, in the performances of data bits transmission, identification time delay, and energy consumption by the reader.…”
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Method and Algorithm for Processing Large Volume Images by O. N. Andreichuk, N. I. Listopad

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User interests-based microblog tracing algorithm by Xiao YANG, Xiuzhen CHEN, Jin MA, Haozhe LIANG, Shenghong LI

“…Microblog information tracing refers to finding the source set of microblog topics according to the analysis of crawled microblog texts and it’s of great significance in the aspect of public opinion control and information security.A user interests-based tracing method (ITM) was proposed.The proposed method calculates the influence of the blogger based on the interest of the microblog blogger,and also calculates the influence of the commentators based on the interest of the commentators.The ranking algorithm was used to score the blogs according to publication time,notability and influence,and the source of the blogs was traced according to the blog score rank.Experimental results show that the accuracy of the proposed algorithm improved about 21% compared with the traditional tracing algorithms.…”
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A scheduling algorithm for optimizing video traffic by Jiarui DING, Kai LIU, Jie SUN, Zhimin LIU

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Research on the Speech Coding Algorithm at 1200bit/s by Chen Xinfu Wu Jia’an (Air Force Telecommunications Engineering Institute, Xi’an 710077)

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ALGORITHM FOR PHONOGRAM COMPARISON IN E-LEARNING SYSTEMS by V. V. Kiselev, A. G. Davydau, A. A. Tkachenia

“…A functional diagram of the algorithm is presented.…”
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Evolutionary Algorithm Geometry Optimization of Optical Antennas by Ramón Díaz de León-Zapata, Gabriel González, Efrén Flores-García, Ángel Gabriel Rodríguez, Francisco Javier González

“…This work presents the results of using a genetic algorithm (GA) for obtaining an optimized geometry (unconventional geometries) that may be used as optical regime antennas to capture electromagnetic waves. …”
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Research on secure routing algorithm in satellite networks by LI Zhe, LIU Jun

“…The key technologies in satellite networks security were researched.A security routing algorithm was proposed.By static configuration combining together with dynamic adjustment,the algorithm realized dynamic routing.Based on the credence model,the security mechanism was added.When it found there was malicious behavior in the network,it would react actively.It effectively guaranteed the security of satellite networks and protectd the network from kinds of attacks.…”
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Neurogenetic Algorithm for Solving Combinatorial Engineering Problems by M. Jalali Varnamkhasti, Nasruddin Hassan

“…Diversity of the population in a genetic algorithm plays an important role in impeding premature convergence. …”
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Optimized PFA algorithm in GPS software receiver by Xiang-zhen YAO, Shao-long CUI, Jin-yun FANG

“…According to the specific storage mode of GPS data,a novel algorithm using 2-bit to quantitate the GPS data and the local carrier signal was proposed,and the baseband-mixing operation was transformed into bit-wise calculation,then the result was set as the input data of PFA algorithm.Part of the twiddle factors were pre-stored as 16-bit complement integer,and the whole factors were generated by mapping strategy when used.So all the floating-point calculations were transformed into integer operations.Experimental results show that this method has improved the efficiency of the PFA algorithm significantly,and the acquisition time were reduced effectively.…”
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An LSH Based Time Subsequence Matching Algorithm by Genping Liu, Yefang Chen, Chengtou Du, Jiangbo Qian

“…An algorithm called LSHSM，which uses locality sensitive hashing（LSH）to process time subsequence matching，was proposed.Different to the FRM and DualMatch algorithms，the LSHSM does not require feature transformation such as DFT and DWT.It just directly regards the sequence as a high-dimensional object to find similar subsequences.Comparing to a linear algorithm on three real datasets，the LSHSM algorithm demonstrates the effectiveness and efficiency.…”
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Asynchronous perception algorithm based on energy detection by Pan YU, Bin LI, Cheng-lin ZHAO

“…In the future heterogeneous wireless networks,since primary user (PU) and cognitive secondary user (SU) are not coordinated to be synchronous,it will result in sense timing difference between PU’s transmitter and SU’s receiver.For this asynchronous sense case,a new asynchronous sensing algorithm based on Bayesian estimation theory was proposed.A unified dynamic state space model was first proposed to describe the observable energy relationship with dynamic PU state and unknown timing difference.Then,an iterative estimation scheme was designed using stochastic finite set and the rules of maximum posterior probability.Finally,approximated estimation results were obtained by using a particle filter.The simulation results show that the proposed asynchronous scheme significantly eliminates the uncertainty of the received signal information and thus improves the spectrum sensing performance by obtaining the time difference accurately.…”
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Manipulator Trajectory Planning based on ADPSO Algorithm by Xiaohong Tang, Yongjian Gong, Nianjiao Wang, Hong Zhang, Leilei Ren

Subjects: “…Adaptive particle swarm optimization algorithm…”
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Label iteration-based clustering ensemble algorithm by HE Yulin, YANG Jin, HUANG Zhexue, YIN Jianfei

Subjects: “…clustering ensemble algorithm…”
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Loopback matching algorithm with support set protection by Shu-juan TIAN, Xiao-ping FAN, Ting-rui PEI, Shu YANG, Zhe-tao LI

“…There was a drawback of deleting right support elements in some greedy iterative reconstruction algorithms.To resolve this problem,loopback matching algorithm with support set protection (LM-P) was proposed.First,LM-P ini-tialized elements of non-protected support set based on minimum residual inner product.Second,it computed the projec-tions of observations on the observation sub-matrix corresponding to non-protected support set elements.Then,an ele-ment in non-protected support set with the largest projection was added to the protected support set.An alternative multi-plicative iteration method was employed to obtain the whole protected support set.As to reconstruct a sparse signal whose nonzero elements are normally distributed and the signal sparsity is less than half the number of measurements,experimental results show that the reconstruction accuracy of LM-P algorithm exceeds 86%.For sparse signals with small noise,the reconstruction accuracy of LM-P can maintain over 99 %.Compared with OMP,CoSaMP,SP and GPA algo-rithms,LM-P's observations are smaller.LM-P also has good performance for image reconstruction.greedy iteration;support set;sparse signal;LM-P…”
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Enhanced deep deterministic policy gradient algorithm by Jianping CHEN, Chao HE, Quan LIU, Hongjie WU, Fuyuan HU, Qiming FU

“…With the problem of slow convergence for deep deterministic policy gradient algorithm,an enhanced deep deterministic policy gradient algorithm was proposed.Based on the deep deterministic policy gradient algorithm,two sample pools were constructed,and the time difference error was introduced.The priority samples were added when the experience was played back.When the samples were trained,the samples were selected from two sample pools respectively.At the same time,the bisimulation metric was introduced to ensure the diversity of the selected samples and improve the convergence rate of the algorithm.The E-DDPG algorithm was used to pendulum problem.The experimental results show that the E-DDPG algorithm can effectively improve the convergence performance of the continuous action space problems and have better stability.…”
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Research of embedding algorithm for wireless network virtualization by Bin CAO, Shi-chao XIA, Fang HE, Yun LI

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PCA clustering algorithm for indoor positioning in WLAN by Mingji YANG, Kaiyi LIU, Dan SHAO

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