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RISS 인기검색어
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- 저자 : Xianmin Zhang (검색결과 6 건)
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Image Fusion Watermarking Algorithm based on NSCT and Constrained NMF
Xianmin Wei,Peng Zhang 보안공학연구지원센터(IJSIP) 2015 International Journal of Signal Processing, Image Vol.8 No.1
In order to solve the problem aliasing of Contourlet transform, an Image Fusion Watermarking Algorithm based on NSCT and constrained NMF is proposed in this paper. Firstly, the image is decomposed into several layers. Secondly, the Two-dimension matrix is obtained by low frequency coefficients and watermarking signal. Finally, the watermarking is embedding by constrained NMF. The blind detection is used, and the algorithm can achieve a good imperceptibility. Experimental results show that the algorithm has good robustness against attacks of common image processing.
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Study on Thinking Evolution based ant Colony Algorithm in Typical Production Scheduling Application
Xianmin Wei,Peng Zhang 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.6
Aiming at solving the NP-hard workshop production scheduling problems, proposed one kind based on mind evolutionary algorithm. The algorithm in the traditional ant colony algorithm is established, and the combination of evolutionary thought and local optimization idea overcomes the basic ant colony algorithm is easy to fall into local optimal defects, the improved state transition rules, defining a pheromone range, improve the pheromone update strategy, and the increase of neighborhood search. Experimental results show that, for a typical production scheduling problems, based on mind evolutionary ant colony algorithm can obtain the optimal solution in theory, optimal solution, the solution and average three indicators are better than the basic ant colony algorithm, showed good performance.
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Research on Improved ECC Algorithm in Network and Information Security
Xianmin Wei,Peng Zhang 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.2
Network information security suffered many network threats; the existing encryption algorithm has been unable to meet the needs of network and information security problems. The improved ECC algorithm based on network information security, the algorithm based on the original ECC algorithm and its optimization dot product operation optimization and square residual determination, optimization and transformation of the private key update to improve the original operational efficiency and safety performance of the ECC algorithm. The experiments show that the ECC algorithm based on network information security improvements in safety performance than the RSA algorithm as well as the original ECC algorithms have significantly improved the program is effective.
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An optimization approach for black-and-white and hinge-removal topology designs
Yongqing Fu,Xianmin Zhang 대한기계학회 2014 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.28 No.2
An optimization approach for black-and-white and hinge-removal topology designs is studied. To achieve this motive, an optimal topologyallowing grey boundaries is found firstly. When a suitable design has been obtained, this solution is then used as a starting pointfor the follow-up optimization with the goal to free unfavorable intermediate elements. For this purpose, an updated optimality criterionin which a threshold factor is introduced to gradually suppress elements with low density is proposed. The typical optimality method andnew technique proposed are applied to the design procedure sequentially. Besides, to circumvent the one-point hinge connection problemproducing in the process of freeing intermediate elements, a hinge-removal strategy is also proposed. During the optimization, the binaryconstraints on design variables are relaxed based on the scheme of solid isotropic material with penalization. Meanwhile, the meshindependencyfilter is employed to ensure the existence of a solution and remove well-known checkerboards. In this way, a solution thathas few intermediate elements and is free of one-point hinge connections is obtained. Finally, different numerical examples including thecompliance minimization, compliant mechanisms and vibration problems demonstrate the validity of the proposed approach.
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Development of Virtual Load Rating Method for Taxiway Bridge under Aircraft Taxiing
Qian Dong,Jianhua Wang,Xianmin Zhang,Hao Wang,Xisha Jin 대한토목학회 2019 KSCE JOURNAL OF CIVIL ENGINEERING Vol.23 No.7
This paper presents finite element model (FEM) based virtual load rating method for accurately and efficiently evaluating the bearing capacity of taxiway bridge in the field under aircraft taxiing. A dynamic load coefficient of aircraft loading was first developed considering deck pavement roughness and aircraft lift force. The in situ responses of taxiway bridges under 10 aircraft were collected using instrumentation system with acceleration sensor, strain sensor, and inclinometer. The modal frequency, strain influence lines, and deflections of taxiway bridge were obtained from FE analysis and in situ test. An optimization objective function in terms of fundamental frequency and strain influence lines was formulated to ensure convergence and effectiveness in the model updating process, wherein the bending stiffness, density and boundary conditions of the structures are selected as the design variables. The weighted-average method of model updating parameters was proposed considering the differences in the obtained parameters under different loading conditions. The analysis results of updated FE model were validated using static loading test conducted on taxiway bridge. Finally, the proposed virtual load rating method was applied to Taxiway Bridge V in Guangzhou Baiyun International Airport (CAN).
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Efficient Kernel Based 3-D Source Localization via Tensor Completion
( Shan Lu ),( Jun Zhang ),( Xianmin Ma ),( Changju Kan ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.1
Source localization in three-dimensional (3-D) wireless sensor networks (WSNs) is becoming a major research focus. Due to the complicated air-ground environments in 3-D positioning, many of the traditional localization methods, such as received signal strength (RSS) may have relatively poor accuracy performance. Benefit from prior learning mechanisms, fingerprinting-based localization methods are less sensitive to complex conditions and can provide relatively accurate localization performance. However, fingerprinting-based methods require training data at each grid point for constructing the fingerprint database, the overhead of which is very high, particularly for 3-D localization. Also, some of measured data may be unavailable due to the interference of a complicated environment. In this paper, we propose an efficient kernel based 3-D localization algorithm via tensor completion. We first exploit the spatial correlation of the RSS data and demonstrate the low rank property of the RSS data matrix. Based on this, a new training scheme is proposed that uses tensor completion to recover the missing data of the fingerprint database. Finally, we propose a kernel based learning technique in the matching phase to improve the sensitivity and accuracy in the final source position estimation. Simulation results show that our new method can effectively eliminate the impairment caused by incomplete sensing data to improve the localization performance.
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