Zhu X.J.,Wuhan Digital Engineering Research Institute
Applied Mechanics and Materials | Year: 2014
The establishment of archives information and archive management system changed the previous traditional manual file management mode, and has important meaning in the improvement of management ability and management efficiency. Through investigation and research of multiple users, we learned the system used by the users. After digestion and absorption, we developed the module to which users put the most attention of the archives management. Users can have comprehensive management of technical archives through our system, and check electronic files, etc. © (2014) Trans Tech Publications, Switzerland.
Li Z.,Wuhan University of Science and Technology |
Pan C.,Wuhan Digital Engineering Research Institute
Proceedings of SPIE - The International Society for Optical Engineering | Year: 2015
This paper presents a data redundancy method for distributed storage by applying Erasure code to storage system. The method involves some key technologies such as data read and written, failure detection and node redirection, and restoration algorithms. According to the theoretical analysis, this method can efficiently improve the use ratio of storage space as well as enhance reliability and availability for a storage system. Also, it can obtain the same availability of data at the cost of lower redundancy degree compared with many others storage methods. The quantitative analysis of this methodâ€™s performance is also given in the paper. © 2015 SPIE.
Xiao X.,Wuhan Digital Engineering Research Institute |
Kun X.,Hubei economics Academy
Applied Mechanics and Materials | Year: 2014
Based on the research of special new workstation system module, this paper focuses on the solution of key technologies such as high performance computer system integration, high resolution video frame extraction, multi-layer multiple analog video window fusion, independent video input source synchronous, large capacity and high density FPGA design. Using high-performance workstation main control module and video cards as the foundation, develop a variety of sensing information radar display module, a variety of types of high-resolution graphics/image frame extraction module in order to realize the seamless connection with high performance computer. © (2014) Trans Tech Publications, Switzerland.
Guo W.,Harbin Engineering University |
Xia X.,Wuhan Digital Engineering Research Institute
Proceedings - 2013 International Conference on Information Science and Cloud Computing, ISCC 2013 | Year: 2014
Accurate target classification is the keystone of the ship targets recognition in sea battlefields. Aiming at the deficiencies of supervised and unsupervised classified methods, we present a novel scheme called semi-supervised ship target recognition based on affinity propagation (AP). In order to circumvent the problem of choosing initial points, the method introduces affinity propagation clustering to construct classification model simply and effectively. Based on the idea of semi-supervised learning, a few restrictions of labeled flows and priori manifold distribution of sampled space are abstracted. Also, manifold similarity is defined. Hence, the semi-supervised method can not only largely reduce the complexity of marking sampled flows, but also nicely improve the performance of the classified. Theoretical analysis and experimental results show that that the proposed method is robust and can get better than KNN or SVM or HDR method. With the acquirement of high recognition rate of ship targets in the sea battlefields, undoubtedly, this approach is a feasible and efficient method. © 2013 IEEE.
Wang Z.,Nanchang Hangkong University |
Deng C.,Nanchang Institute of Technology |
Pan C.,Wuhan Digital Engineering Research Institute |
Liu J.,Huazhong University of Science and Technology
Computers and Electrical Engineering | Year: 2014
In this article, we propose a visual integrated navigation method which is composed of a relative position estimation and an absolute position estimation. The aim is to estimate precise position and overcome accumulative position errors for long-distance and long-time visual navigation. The relative position estimation measures relative displacement and position by a simple optical flow method, but its accumulative position errors would increase with time. The absolute position estimation aids the relative position estimation for correcting these accumulative errors timely. The absolute position estimation employs a Kalman filter based on image entropy, which can continuously correct accumulative errors according to the actual and predicted image entropy. As a result, the proposed navigation method can supply precise position information all along the navigational path, which has been proven by some experiments in the paper. © 2013 Elsevier Ltd. All rights reserved.