Wuhan Digital Engineering Research Institute

Wuhan, China

Wuhan Digital Engineering Research Institute

Wuhan, China
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Xiao X.,Wuhan Digital Engineering Research Institute
Proceedings - 9th International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2017 | Year: 2017

Signal enhancement methods are divided into two categories: spatial domain method and frequency domain method. Spatial domain is also known as image space, which is composed of image pixels. In image space, deal with pixel value by taking length (distance) as the independent variable. This is called spatial domain processing. Frequency domain processing technology is based on Fourier transform which modifies signals. FPGA device is a kind of typical device which exchanges resources for performance. With the constant improvement of technological level, its scale is bigger and bigger. The inside large capacity RAM, high speed I/O, and special-purpose DSP processing unit have greatly increased the application ability of FPGA in the field of digital signal processing. Therefore, on the new type of FPGA, it is conditional to use the design method based on models. ROM Table is used to complete hardware design and to realize radar signal processing algorithm in spatial domain. © 2017 IEEE.


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 method’s performance is also given in the paper. © 2015 SPIE.


Guo W.Y.,Harbin Engineering University | Guo W.Y.,Wuhan Digital Engineering Research Institute | Wang X.F.,Wuhan Digital Engineering Research Institute | Xia X.Z.,Wuhan Digital Engineering Research Institute
Optik | Year: 2014

Otsu algorithm, an automatic thresholding method, is widely used in classic image segmentation applications. In this paper, a novel two-dimensional (2D) Otsu thresholding algorithm based on local grid box filter is proposed. In our method, firstly by utilizing the coarse-to-fine idea, the 2D histogram is divided into regions by grid technique, and each region is used as a point to form a new 2D histogram, to which 2D Otsu thresholding algorithm and an improved particle swarm optimization (PSO) algorithm are applied to get the region number of the new 2D histogram threshold. Then on the result region, the mean of the 2D histogram is computed base on box filter, and the two algorithms are applied again to obtain the final threshold for the original image. Experimental results on real data show that the proposed algorithm gets better segmentation results than the traditional recursion Otsu algorithm. It significantly reduces the time of segmentation process and simultaneously has the higher segmentation accuracy. © 2014 Elsevier GmbH. All rights reserved.


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.


Guo W.,Harbin Engineering University | Guo W.,Wuhan Digital Engineering Research Institute | Xia X.,Wuhan Digital Engineering Research Institute | Wang X.,Wuhan Digital Engineering Research Institute
Optik | Year: 2015

Aiming at detecting sea targets reliably and timely, a discriminative ship recognition method using optical remote sensing data based on variational methods probability generative model is presented. First, an improved Hough transformation is utilized for pretreatment of the target candidate region, which reduces the amount of computation by filterring the edge points, our experiments indicate the targets (ships) can be detected quickly and accurately. Second, based on rough set theory, the common discernibility degree is used to compute the significance weight of each candidate feature and select valid recognition features automatically. Finally, for each node, its neighbor nodes are sorted by their manifold similarity to the node. Using the classes of the selected nodes from top of sorted neighbor nodes list, a dynamic probability generative model is built to recognize ships in data from optical remote sensing system. Experimental results on real data show that the proposed approach can get better classification rates at a higher speed than the k-nearest neighbor (KNN), support vector machines (SVM) and traditional hierarchical discriminant regression (HDR) method. © 2015 Elsevier GmbH. All rights reserved.


Zhang R.Y.,Wuhan Digital Engineering Research Institute | Xiao P.,Wuhan Digital Engineering Research Institute
Applied Mechanics and Materials | Year: 2014

This paper presents a new software test and evaluation process model. Under the new framework, testers involve from requirements analysis, get security requirements through security analysis; build risk profile operation, and gradually thin profile in analysis and design phase; automatically generate test cases from profile by tools and drive test work. © (2014) Trans Tech Publications, Switzerland.


Li Y.L.,Wuhan Digital Engineering Research Institute
Applied Mechanics and Materials | Year: 2014

Mechanical arm is an essential replaced tool in the operations under heavy, dangerous and harsh environment (such as nuclear radiation, toxic and hazardous, etc.), but also a key technical equipment in the development of the country. Mechanical arm motion system is a very complex time-varying, strong coupling, highly nonlinear system. This paper presents a model of the robot visual tracking. Through the computer vision track the mechanical arm motion process to make the mechanical arm movement to become more intelligent, more environmentally friendly. Experiments show that the method can complete the mechanical arm intelligent trajectory tracking, and the tracking effect is better. © 2014 Trans Tech Publications, Switzerland.


Guo W.,Harbin Engineering University | Guo W.,Wuhan Digital Engineering Research Institute | Xia X.,Wuhan Digital Engineering Research Institute | Wang X.,Wuhan Digital Engineering Research Institute
Expert Systems with Applications | Year: 2014

Aiming at detecting sea targets reliably and timely, a novel ship recognition method using optical remote sensing data based on dynamic probability generative model is presented. First, with the visual saliency detection method, prior shape information of target objects in put images which is used to describe the initial curve adaptively is extracted, and an improved Chan-Vese (CV) model based on entropy and local neighborhood information is utilized for image segmentation. Second, based on rough set theory, the common discernibility degree is used to compute the significance weight of each candidate feature and select valid recognition features automatically. Finally, for each node, its neighbor nodes are sorted by their ε-neighborhood distances to the node. Using the classes of the selected nodes from top of sorted neighbor nodes list, a dynamic probability generative model is built to recognize ships in data from optical remote sensing system. Experimental results on real data show that the proposed approach can get better classification rates at a higher speed than the k-nearest neighbor (KNN), support vector machines (SVM) and traditional hierarchical discriminant regression (HDR) method. © 2014 Elsevier Ltd. All rights reserved.

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