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共 968 条记录，以下是911-920 订阅

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A Data Hiding Scheme Based on Lagrange Interpolation Algorithm and Multi-clouds

A Data Hiding Scheme Based on Lagrange Interpolation Algorit...

引用

International Symposium on Parallel Architectures, Algorithms and Programming (PAAP)

作者： Yu Jin Yadan Wang Wei Xia Li Deng Heng He Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial Wuhan China Department of Computer Science and Technology Wuhan University of Science and Technology

The use of cloud storage services has increased rapidly in many organizations. However, the security of data stored in the cloud still remains major concerns. Due to risks of service availability failure and the possibility of malicious insiders in the single cloud, researches about "multi-clouds" have emerged recently. Recent researches that are related to multi-clouds have some limitations. For instance, Redundant Array of Cloud Storage (RACS) does not ensure data confidentiality. The performance of system is low in DEPSKY and so on. This paper presents a data hiding scheme that is based on Lagrange interpolation algorithm and multi-clouds. This scheme addresses data availability, data confidentiality and vendor lock-in issue in cloud storage services through the erasure codes and Lagrange interpolation algorithm instead of encryption to store data on diverse clouds. The performance analysis was done through experiences. We observed that our scheme improved the performance for the response times of data uploaded and downloaded.

关键词： Cloud computing Interpolation Reed-Solomon codes Encoding Encryption

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Research on echo simulation of geosynchronous SAR

Research on echo simulation of geosynchronous SAR

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IET International Radar Conference 2015

作者： XiaoBei Wang YinHui Xu ZeGang Ding Wei Liu Yu Zhu QingJun Zhang Beijing Key Laboratory of Embedded Real-time Information Processing Technology Radar Research Lab. School of Information and Electronics Beijing Institute of Technology Beijing China 100081 Beijing Institute of Spacecraft system Engineering CAST Beijing China 100094

ISBN: (纸本)9781510822023

Considering the accuracy of traditional echo simulation methods, an improved echo simulation method of geosynchronous synthetic aperture radar (GEO SAR) is proposed, which has a higher accuracy. Aiming at the fidelity of echo simulation, this article develops a target scene model based on curved surface and an algorithm for judging whether the targets are illuminated by the beam. The echo simulation method is conducted with GEOSAR parameters, which indicates the correctness of scene model and beam judging algorithm. What's more, the effect of scene model and judging algorithm on imaging algorithm is analyzed. And the approach in this paper has a significant meaning for the investigation of space-borne SAR echo simulation and imaging algorithm.

关键词： GEOSAR beam judgment beam shadow echo simulation scene model

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An effective false-alarm removal method based on OC-SVM for SAR ship detection

An effective false-alarm removal method based on OC-SVM for ...

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IET International Radar Conference 2015

作者： Xiaoting Yang Fukun Bi Ying Yu Liang Chen Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing 100081 China School of Electronic Information Engineering North China University of Technology Beijing 100144 China School of Information Science and Engineering Yunnan University Kunming 650091 China

ISBN: (纸本)9781510822023

Automatic ship detection from SAR remote sensing imagery is very important, with a wide array of applications in areas such as national marine safety, vessel traffic services, and naval warfare. However, SAR remote sensing images with the high inhomogeneity of sea clutter and complex scene result in a large number of false alarms. This paper focuses on the problem of false alarm removal and coverts it as a classification problem with respect to ship targets and false alarms. However, in real application: (1) Compared to false alarms the number of ships is much smaller, and (2) false alarms with diverse categories and no uniform characteristics are difficult to be distinguished from ships. To solve the problems above, we present a new method based on one-class SVM (OCSVM) combined with grid optimization that only use the data of ships to train classifier in the absence of false alarms. First, 2P-CFAR is adopted to extract ship candidates and 14 features mainly focusing on ship targets are selected. Second, grid optimization is exploited to obtain parameters for OC-SVM training, where it is a compromise between the probability of false alarm and detection rate. Experimental results of OC-SVM on a large SAR image set demonstrate that in comparison with other state-of-the-art methods like SVM, BP neural network, our approach can achieve higher detection accuracy.

关键词： OC-SVM false alarms removal parameters analysis performance comparison ship detection

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Water body extraction based on the LBV transformation analysis for China GF-1 multi-spectral images

Water body extraction based on the LBV transformation analys...

引用

IET International Radar Conference 2015

作者： Hang Wei Fukun Bi FuQiang Liu Wenchao Liu He Chen Ying Yu Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing 100081 China School of Electronic Information Engineering North China University of Technology Beijing 100144 China School of Information Science and Engineering Yunnan University Kunming 650091 China

ISBN: (纸本)9781510822023

For the surface water body extraction from China GF-1 satellite multi-spectral images, this paper proposes a algorithm based on the LBV transformation analysis method. The LBV transformed images can be used more effectively for the analysis of ground features than the original multispectral satellite images. So in the proposed method, the LBV transformation equations for GF-1 images are firstly discussed. Then, by analyzing gray level curves of six typical ground features in L(the general radiance level), B(the visible-infrared radiation) and V(the band radiance variation vector) images respectively, a decision criterion for extracting water body is obtain. And by this decision criterion the water bodies can be quickly and accurately extracted in the complex scenes. The experimental results show that this algorithm can effectively eliminate roads and the shadows of the buildings and cloud on the influence of the water body extraction and can exactly extract the small ponds, lakes and reservoirs. In addition, the proposed algorithm is simple, automatic and highly adaptable.

关键词： China GF-1 LBV Multi-spectral Image Water

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An optimized water detection algorithm for SAR images utilizing SOPC technologies

An optimized water detection algorithm for SAR images utiliz...

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IET International Radar Conference 2015

作者： Yan Liu Lin Li Yizhuang Xie Liang Chen Yi Deng Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing 100081 China Beijing Institute of Remote Sensing ECE Department of Virginia Polytechnic Institute and State University Falls Church Virginia 22124 USA

This paper investigates a water detection algorithm of region-of-interest extraction based on the combination of sobel edge detection and contrast stretching transformation. The implementation of the proposed method is utilized for SAR (Synthetic Aperture Radar) imaging with SOPC (Systems on a Programmable Chip) embedded technology. It also puts forward an effective and realizable approach for the parallel processing data. The water detection algorithm is first optimized for SOPC system and is implemented on Xilinx Zynq-7020 chip with dual cortex-A9 ARM processors. As a result, the average consumption time of water detection algorithm reduces over 38 percent, which ensures the real-time requirement in the real-time object detection system.

关键词： ARM SAR SOPC water detection 1-stearoyl-2-oleoyl-sn-glycero-3-phosphocholine spatially oscillating photovoltaic current Radar polarimetry Detection algorithms Synthetic aperture radar Rescue Specific absorption rate SAFETY ANALYSIS REPORTS

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Communication energy oriented scheduling optimization for network on chip

Communication energy oriented scheduling optimization for ne...

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Chinese Automation Congress (CAC)

作者： Dongsheng Ye Wei Hu Benben Liu Xinwei Cao Zhanyan Zhang Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System China College of Computer Science and Technology Wuhan University of Science and Technology Wuhan Hubei China

ISBN: (纸本)9781467371902

It is difficult to improve the performance for the traditional processor architecture. The power consumption and the temperature of the processors are the main bottlenecks for CPU with single core. Chip multiprocessor is proposed to solve such problems. In order to solve the communication problem between the on chip components, network on chip is taken as the promising diagram. The on-chip cores are connected by lines. However, the communication is now the core of the on-chip network and the power consumed is more than before. This paper aims at the energy consumption problem in communication. The tasks will be mapped to the cores according to the communication density to reduce the power consumption and improve the performance. The experimental results show that our algorithm can achieve its target.

关键词： System-on-chip Power demand Optimization Silicon Multicore processing Dynamic scheduling

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Effective handwritten digit recognition based on multi-feature extraction and deep analysis

Effective handwritten digit recognition based on multi-featu...

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International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Caiyun Ma Hong Zhang College of Computer Science and Technology Wuhan University of Science and Technology Wuhan China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan China

ISBN: (纸本)9781467376839

Handwritten digit recognition is an important research topic in computer vision and pattern recognition. This paper proposes an effective handwritten digit recognition approach based on specific multi-feature extraction and deep analysis. First, we normalize images of various sizes and stroke thickness in preprocessing to eliminate negative information and keep relevant features. Secondly, considering that handwritten digit image recognition is different from traditional image semantics recognition, we propose specific feature definitions, including structure features, distribution features and projection features. Moreover, we fuse multiple features into the deep neural networks for semantics recognition. Experiments results on benchmark database of MNIST handwritten digit images show that the performance of our algorithm is remarkable and demonstrate its superiority over several existing algorithms.

关键词： Feature extraction Handwriting recognition Image recognition Databases Neural networks Error analysis Training

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Rapid display optimization based on on-chip programmable memory for mobile intelligent devices

Rapid display optimization based on on-chip programmable mem...

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Chinese Automation Congress (CAC)

作者： Ruo Jia Wei Hu Ziheng Li Zewei Ma Jiapei Wang Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System China College of Computer Science and Technology Wuhan University of Science and Technology Wuhan Hubei China

Mobile intelligent devices are popular nowadays. As one type of embedded systems, such devices have strict response requirements. When the users click on the screen, the display should give the response as soon as possible. The on-chip programmable memory can be used to optimize the process. The main on-chip programmable memory is on-chip SRAM, which is called scratchpad memory. In this paper, a novel approach is proposed to speed the display for mobile intelligent devices based on scratchpad memory. The programs are analyzed and the most used parts are selected and assigned to on-chip programmable memory. Such memory has faster access speed and lower power consumption compared with the traditional off-chip memory and cache. The experimental results show that this approach has reduced the response time and improved the performance of the system.

关键词： System-on-chip Random access memory Optimization Program processors Memory management Mobile communication Frequency conversion

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Protein 3D Features and surface modeling research

Protein 3D Features and surface modeling research

引用

2015 3rd International Conference on Machinery,Materials and information technology Applications(ICMMITA 2015)

作者： Huayong Yang Xiaoli Lin Information and Engineering Department of City College Wuhan University of Science and Technology Hubei Key Laboratory of Intelligent Information Processing and Real-time Industrial System School of Computer Science and Technology Wuhan University of Science and Technology

In the twenty-first century, the life science has been studied from the genome research into the structure and function of the structure, which can further reveal the mystery of life. In this paper, it takes the relationship between protein structure and its function as the breakthrough point, with the aid of introducing the protein molecular structure database, analyzing the application of intelligent computing method in the prediction of protein structure. Moreover, by setting up the 3D model of protein molecules, so as to realize the detection of protein 3D features.

关键词： protein molecular intelligent computing 3D features

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Region of interests extraction based on visual saliency for remote sensing image

Region of interests extraction based on visual saliency for ...

引用

IET International Radar Conference 2015

作者： Long Ma Bin Xu Fukun Bi He Chen Ying Yu Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing 100081 China Beijing Remote Sensing Information Institute Beijing 100192 China School of Electronic Information Engineering North China University of Technology Beijing 100144 China School of Information Science and Engineering Yunnan University Kunming 650091 China

ISBN: (纸本)9781510822023

This paper proposes a novel region of interests extraction method for remote sensing image based on visual saliency analysis as well as the multi-scale saliency fusion mechanism. Firstly, under the theory of multi-scale and multiresolution analysis, the gaussian pyramid representation is generated. Then, various spatial features are exploited to compute saliency maps under different scales. Finally the saliency map could be calculated by the corresponding level fusing as well as the across-scale combination. The comparative experiments validate the effectiveness of the proposed model.

关键词： Multi-scale analysis region of interests remote sensing image processing saliency fusion visual saliency

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