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For Selected: Download Citations EndNote Ris BibTeX Toggle Thumbnails Select Secure Top-k Query Scheme with Strong Privacy Protection in Cloud Computing Environment CUI Shaogang, YIN Hui, ZHOU Chunguang Journal of Jishou University(Natural Sciences Edition)    2023, 44 (3): 13-28.   DOI: 10.13438/j.cnki.jdzk.2023.03.003 Abstract （209）      PDF（pc） （1800KB）（102）       Knowledge map    Save In a multi-user application scenario,the cloud can collude with a data owner or a data user to infer an authorized user's query contents.In this paper,we first present the collusion attack model in cloud environments and implement an efficient and strongly privacy protective search scheme.This scheme employs dynamical and secure searchable index construction which not only guarantees the data confidentiality but also extremely fits into the multi-user cloud computing environments where data files are dynamically uploaded frequently,enhancing the availability and scalability of the whole system greatly as well.In addition,in order to satisfy users' individual search requirements,our scheme supports secure relevance ranking for query results according to keyword weight,thus implementing secure top-k query. Reference | Related Articles | Metrics | Comments（0） Select Binocular Stereo Matching Algorithm Based on Improved Census Transform AN Geng, YANG Fenlin, ZHOU Mengyuan, DOU Xinrui Journal of Jishou University(Natural Sciences Edition)    2023, 44 (3): 29-33.   DOI: 10.13438/j.cnki.jdzk.2023.03.004 Abstract （330）      PDF（pc） （3514KB）（126）       Knowledge map    Save For the problem that the gray value of the center point of the traditional Census transform window is easily affected by noise and the global matching accuracy is low,a binocular stereo matching algorithm based on improved Census transform is proposed.First,the template value of bilateral filtering is used to replace the gray value of the center point of the Census transform window.In order to enhance the reliability of the initial cost calculation,Sobel operator and the absolute error of gray level and the matching cost of the algorithm are added for cost fusion.Then the dynamic cross region is selected to establish the relationship between adjacent parallaxes.Finally,the winner-take-all strategy is used to select the best disparity,and left and right consistency detection and guided filtering are used to optimize the disparity map.The experimental results show that compared with the traditional Census transform,the average mismatch rate of the algorithm is reduced by about 46% in the noiseless case and 53% in the noisy case.It is concluded that the improved algorithm has better accuracy and anti-noise ability. Reference | Related Articles | Metrics | Comments（0） Select Optimal Multiband Collaborative Spectrum Sensing Algorithm Based on Constrained PSO Algorithm TIAN Chong, LIU Tingting, TAN Zhewen, TAN Yuhao, LEI Kejun, YANG Xi Journal of Jishou University(Natural Sciences Edition)    2023, 44 (3): 34-38.   DOI: 10.13438/j.cnki.jdzk.2023.03.005 Abstract （293）      PDF（pc） （454KB）（160）       Knowledge map    Save For the difficulties in controlling the total interference of the system with unconstrained PSO algorithm,an optimal multiband cooperative spectrum sensing method based on constrained Particle Swarm Optimization (PSO) algorithm is proposed.This algorithm transforms the constrained optimization problem into an unconstrained optimization problem by introducing a penalty function.Compared with the traditional solutions based on unconstrained PSO algorithm,the proposed constrained PSO algorithm can effectively solve the constrained multiband cooperative spectrum sensing optimization problem,and the optimal solution meets the constraints to avoid excessive total interference. Reference | Related Articles | Metrics | Comments（0） Select An Improved Whale Optimization Algorithm Based on Levy Flight and Brownian Motion YU Cunwei, MO Liping, WAN Runze Journal of Jishou University(Natural Sciences Edition)    2023, 44 (2): 24-32.   DOI: 10.13438/j.cnki.jdzk.2023.02.004 Abstract （679）      PDF（pc） （1094KB）（357）       Knowledge map    Save A whale optimization algorithm based on Levy flight and Brownian motion is designed to overcome the disadvantages of whale optimization algorithm such as low accuracy,slow convergence and easiness to fall into local optimum.First,Levy flight method is used to initialize the whale population to increase the diversity of the initial population.Then,according to the principle of Brownian motion,the position update of the whale population is randomly perturbed to avoid the algorithm falling into local optimization in advance.The improved whale optimization algorithm is compared with whale optimization algorithm,particle swarm optimization algorithm,genetic algorithm and ant colony optimization algorithm on seven different benchmark test functions.The experimental results show that the improved whale optimization algorithm is superior to the other four algorithms in terms of solution accuracy and convergence speed.At the same time,simulation and comparison experiments are carried out on the initial solution exploration range of the improved whale optimization algorithm using Levy flight strategy and the whale optimization algorithm using random search strategy in the initialization stage.The experimental results show that the improved whale optimization algorithm can avoid falling into local optimization in a certain program. Reference | Related Articles | Metrics | Comments（0） Select A Novel MEHM Blind Spectrum Sensing Algorithm Based on Random Matrix Theory LIU Tingting, LEI Kejun, TAN Zhewen, TIAN Chong, TIAN Xinxin, YANG Xi Journal of Jishou University(Natural Sciences Edition)    2023, 44 (2): 33-38.   DOI: 10.13438/j.cnki.jdzk.2023.02.005 Abstract （389）      PDF（pc） （934KB）（159）       Knowledge map    Save A novel maximum eigenvalue-harmonic mean (NMEHM) blind spectrum sensing algorithm is proposed,using the results of the distribution of the limiting eigenvalues of the sample covariance matrix in random matrix theory.The proposed algorithm significantly improves the detection performance of the traditional MEHM algorithm and achieves better detection performance than the classical eigenvalues-based detection algorithms;at the same time,the proposed algorithm does not require a priori knowledge of the primary user signal and wireless channel,which can availably overcome the effect of noise uncertainty.Simulation results demonstrate the validity of the proposed algorithm. Reference | Related Articles | Metrics | Comments（0） Select Method of Obtaining Part-of-Speech Tagging Rules Utilizing FP-Growth Algorithm MO Liping, HUANG Yongkun Journal of Jishou University(Natural Sciences Edition)    2021, 42 (4): 38-43.   DOI: 10.13438/j.cnki.jdzk.2021.04.008 Abstract （623）      PDF（pc） （379KB）（210）       Knowledge map    Save To improve the quality of the training corpus needed by the part-of-speech (POS) tagging model, a method for acquiring POS tagging rules based on FP-Growth algorithm to automatically extract the POS tagging rules from the training corpus is proposed. A comparative experiment was carried out between the proposed method and the existing method of obtaining POS tagging rules based on Apriori algorithm. The experiment results reveal that, for small-scale training corpora of 1 000, 2 000, and 10 000 words, the number of POS tagging rules obtained by the former is the same as that of the latter, but the time consumption is only 0.013 866%, 0.010 399% and 0.003 132% of the latter, respectively, and for training corpora with a scale of 100 000 words and 1 million words, the latter cannot get any rule, but the former can still obtain effective rules within a reasonable period of time. Obviously, proposed method is feasible and efficient, and can meet the actual needs of automatically obtaining POS tagging rules from corpora of different sizes when optimizing the training corpus. Reference | Related Articles | Metrics | Comments（0） Select An Optimized NMG Solution to an Improved Total Variational Registration Model HAN Xiaohua, YANG Fenlin Journal of Jishou University(Natural Sciences Edition)    2021, 42 (4): 44-49.   DOI: 10.13438/j.cnki.jdzk.2021.04.009 Abstract （437）      PDF（pc） （4177KB）（278）       Knowledge map    Save An improved total variational (TV) registration  model with both global smooth and discontinuous-preserving displacements is established by introducing hypersurface function as the kernel function of image registration regularization term. In the nonlinear multi-grid (NMG) method, a new smoothing method is constructed by using the interaction of delayed diffusion fixed point iteration and successive over relaxation iteration. And by interpolation of the errors on the coarse grid back to the fine grid using tomographic techniques during confinement, a fast and effective nonlinear multi-grid algorithm for solving improved TV model is designed. The experimental results show that the optimized NMG algorithm has higher registration accuracy and faster convergence than the NMG method. Improved TV model registration has less error, less time-consuming and better registration performance than TV model registration. Reference | Related Articles | Metrics | Comments（0） Select Servers Virtualization Technology Application in Data Center Construction ZHANG Xian, CHEN Hongli, YANG Yaqi Journal of Jishou University(Natural Sciences Edition)    2021, 42 (4): 50-54.   DOI: 10.13438/j.cnki.jdzk.2021.04.010 Abstract （773）      PDF（pc） （390KB）（171）       Knowledge map    Save The server is the core element of the data center, but the traditional server is not only in a single form, but also has defects such as complex management, so it is gradually eliminated, replaced by virtual server, and the technology to achieve virtual server is virtualization technology (collectively referred to as server virtualization technology).Server virtualization technology, as a relatively new technology, is not popular in the construction of data centers. Traditional servers are still widely circulated, which hinders the update and development of data centers.Therefore, for the purpose of popularizing server virtualization technology, we will carry out research, discuss the basic concepts and main advantages of this technology, and finally put forward the server virtualization application scheme and matters needing attention in the construction of data center. Reference | Related Articles | Metrics | Comments（0） Select Multi-Frequency Signal Parameter Analysis Based on High-Order Rectangular Convolution Window SHUAI Guoxiang, WANG Xuming, ZHANG Zhiwei, PENG Hao Journal of Jishou University(Natural Sciences Edition)    2021, 42 (4): 55-58.   DOI: 10.13438/j.cnki.jdzk.2021.04.011 Abstract （530）      PDF（pc） （346KB）（170）       Knowledge map    Save When the multi-frequency signal is sampled asynchronously, in order to reduce the negative influence of the frequency spectrum leakage and the fence effect in the fast Fourier transform of the multi-frequency signal. Based on the theoretical basis of rectangular convolution window and the triple-spectral-line interpolation, proposed a method of signal parameter estimation that combines a high-order rectangular convolution window and triple-spectral-line interpolation. The simulation experiment results show that, for the amplitude and frequency of the multi-frequency signal, the method of high-order rectangular convolution window triple-spectral-line interpolation has higher estimation accuracy than the method of FFT and the method of Hanning window. Reference | Related Articles | Metrics | Comments（0） Select Software Programming Ability Evaluation Model Based on FAHP LIU Li，WANG Mingyan，GU Baocheng Journal of Jishou University（Natural Sciences Edition)    DOI: 10.3969/j.cnki.jdxb.2018.02.009 Select Synchronization Control of Fractional-Order Bao Chaotic System and Encryption Simulation LEI Tengfei,FU Haiyan,ZANG Hongyan,SU Min Journal of Jishou University（Natural Sciences Edition)    DOI: 10.3969/j.cnki.jdxb.2018.02.010 Select A Novel Spectrum Sensing Algorithm Based on MED for Cognitive Radio WANG Hanrui,LI Manjiang,TANG Pengcheng,YANG Xi,LEI Kejun Journal of Jishou University（Natural Sciences Edition)    DOI: 10.3969/j.cnki.jdxb.2018.02.011