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	1. A Novel Image Scrambling Algorithm Based On Vigenere Cipher
	QIANG Saili,HE Liming
	Computer Science and Technology 07 September 2012
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	Abstract:Aimed at the safety problem of digital image transmission, a new image scrambling algorithm based on changing the pixel values was presented in this paper. The algorithm improves the "Vigenere encryption" algorithm, made it suitable in the digital image encryption. Experiment results show that, this algorithm brings the conception of "keyword" which is important in the cryptography in the digital image encryption algorithm. To a certain degree, it enhanced the security of scrambling image, compared with the algorithm which is based on changing the pixels position. This method not only provides with a better scrambling effect, but also changes the gray histogram of scrambling image obviously. Besides, this method has a better ability of resist noise compared with the "Bit-exclusive-or" algorithm -the traditional image scrambling algorithm based on changing the single pixel values.
	TO cite this article:QIANG Saili,HE Liming. A Novel Image Scrambling Algorithm Based On Vigenere Cipher[OL].[ 7 September 2012] http://en.paper.edu.cn/en_releasepaper/content/4488676


	2. Projection-Based License Plate Location in Night Scene
	Hu Mingyuan,Dai Yourui,Zhang Honggang
	Computer Science and Technology 18 August 2011
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	Abstract:Extracting the license plate region is the critical first step in the license plate recognition system. This paper adopts grey level stretch and image enhancement to get better images. For locating the license plate in night scene, this paper proposes a lights searching method base on projection algorithm. Through rough location module, stretch location module, analysis module and three-level scoring system, the license plate will be extracted finally.
	TO cite this article:Hu Mingyuan,Dai Yourui,Zhang Honggang. Projection-Based License Plate Location in Night Scene[OL].[18 August 2011] http://en.paper.edu.cn/en_releasepaper/content/4439507

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	3. PSEFminer: A New Probabilistic Subspace Ensemble Framework for Cancer microarray Data analysis
	Yu Zhiwen
	Computer Science and Technology 18 March 2011
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	Abstract:In order to perform successful diagnosis and treatment of cancer,discovering and classifying cancer types correctly is essential. Most of the existing worksadopt single clustering algorithms to perform class discovery frombio-molecular data. Unfortunately, single clustering algorithms havelimitations, which are lack of the robustness, stableness andaccuracy. In this paper, we develop a new probabilistic subspaceensemble framework known as PSEFminer for cancer microarray dataanalysis. PSEFminer integrates the probabilistic subspace generator,the self-organizing map(SOM) and the normalized cut algorithm intothe ensemble framework to discover the underlying structure fromcancer microarray data. The experiments in cancer datasets show that($i$) the probabilistic subspace generator plays an important roleto improve the performance of PSEFminer; ($ii$) PSEFmineroutperforms most of the state-of-the-art cluster ensemble algorithmswhen applied to cancer gene expression data.
	TO cite this article:Yu Zhiwen. PSEFminer: A New Probabilistic Subspace Ensemble Framework for Cancer microarray Data analysis[OL].[18 March 2011] http://en.paper.edu.cn/en_releasepaper/content/4416991


	4. A State Presence Implementation Model in SIP-based Applications
	Kuang Jian,Wang Guibao
	Computer Science and Technology 15 November 2010
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	Abstract:SIP (Session Initiation Protocol) is an application-layer control (signaling) protocol for creating, modifying, and terminating sessions with one or more participants. SIP-based applications are emerging everyday, including IP phone calls, multimedia conferences, etc. Instant messaging tools based on SIP are also developed, providing PC and mobile users excellent experience of a combination of text, audio, and video data. Behind RFC 3261, a number of extension protocols are developed to further enhance the usability of SIP. This paper examines a SIP extension -- the PUBLISH method (defined in RFC 3903) that used for event state publication, and gives an use case as a way of IM client state notification.
	TO cite this article:Kuang Jian,Wang Guibao. A State Presence Implementation Model in SIP-based Applications[OL].[15 November 2010] http://en.paper.edu.cn/en_releasepaper/content/4391519


	5. A Novel Fast and Effective Hierarchical Thermal-Aware Floorplanning Algorithm
	Pingjie Cheng,Ning Xu
	Computer Science and Technology 24 February 2009
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	Abstract:Hierarchical approaches are employed in current ﬂoorplanning algorithms for scaling to large number modules. With the development of VLSI technology, the thermal problem has been emerged as one of the key issues for IC design. In this paper, we propose a novel power density clustering method to guide the optimization of ﬂoorplanning, which aims to efﬁciently reduce the hotspots while optimizing design metrics such as area and total wirelength.The experimental results with GSRC benchmarks show that the thermal effect is well controlled so that the temperature of ”hot spots” has decreased on the chip. Our algorithm is compared with the state-of-the-art thermal-aware floorplanning algorithm Hotspot Floorplan, it can reduce the max temperature by 3% while saving time by about 300%.
	TO cite this article:Pingjie Cheng,Ning Xu. A Novel Fast and Effective Hierarchical Thermal-Aware Floorplanning Algorithm[OL].[24 February 2009] http://en.paper.edu.cn/en_releasepaper/content/29596


	6. An Adaptive Watermarking Algorithm Based on Multi-scale Morphological Gradient and Fussy theory in Wavelet Domain
	Chen Wenyong,Fan Yanbin
	Computer Science and Technology 22 January 2009
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	Abstract:A novel adaptive watermarking algorithm based on multi-scale morphological gradient and fussy theory in wavelet domain is proposed in this paper. Using multi-scale morphological gradient, analyze the distribution and the strength of the sub-block texture after the wavelet package decomposition, and sort the sub-blocks by textures. According to the texture and energy feature of the sub-block, the sub-block thresholds are determined adaptively, and the coefficients are classified by fuzzy theory. Then, based on the classified result, the strength of the position is modulated adaptively through Noise Visibility Function (NVF), which is the best strength to ensure good visual effect of masking to achieve the best balance between robustness and imperceptibility. A large amount of experimental results show that the proposed algorithm is effective and robust to be resistant to common image processing operations.
	TO cite this article:Chen Wenyong,Fan Yanbin. An Adaptive Watermarking Algorithm Based on Multi-scale Morphological Gradient and Fussy theory in Wavelet Domain[OL].[22 January 2009] http://en.paper.edu.cn/en_releasepaper/content/28229


	7. Design of Embedded Wireless Vehicle Manage System Based on GPRS
	Zhifeng Pang,HuanMing Yu
	Computer Science and Technology 28 August 2008
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	Abstract:Unifying the embedded system, the GPRS networking and the car license recognition technology, this article designs and realizes one kind of embedded wireless vehicle management system using the ARM9 microprocessor\\\\\\\
	TO cite this article:Zhifeng Pang,HuanMing Yu. Design of Embedded Wireless Vehicle Manage System Based on GPRS[OL].[28 August 2008] http://en.paper.edu.cn/en_releasepaper/content/23585


	8. An Adaptive Watermarking Algorithm in DWT Domain Based on Multi-scale Morphological Gradient
	Chen Wenyong,Fan Yanbin
	Computer Science and Technology 30 June 2008
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	Abstract:An adaptive watermarking algorithm in the wavelet domain based on multi-scale morphological gradient is proposed in this paper. Using multi-scale morphological gradient, the distribution and the strength of the sub-block texture after the wavelet package decomposition are analyzed, and the textures of sub-blocks are sorted. According to the texture feature of the sub-block, the sub-block threshold is determined adaptively and the position which is bigger than its threshold is selected as the important coefficient position where the watermarking is embedded. Then, the strength of the position is modulated adaptively through Noise Visibility Function (NVF), which is the best strength to ensure good visual effect of masking to achieve the best effect between robustness and imperceptibility. A large amount of experiments show that the proposed algorithm is effective and robust to common image processing operations.
	TO cite this article:Chen Wenyong,Fan Yanbin. An Adaptive Watermarking Algorithm in DWT Domain Based on Multi-scale Morphological Gradient[OL].[30 June 2008] http://en.paper.edu.cn/en_releasepaper/content/22550


	9. Automatic Video Summarization Based Chinese Caption
	Wang Si
	Computer Science and Technology 09 November 2007
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	Abstract:Domestic video clips usually contain Chinese captions. The captions include rich semantic information and they are valuable descriptions of the video content. Extracting the high-level semantic of caption can help people to understand the content of the video easily and it also can make the video retrieval more efficiently. In this paper, an approach, which is based on semantic correlation between sentences in a caption text, is proposed to generate the summarization of the caption. Firstly we get the caption text of the video and segment the caption text into words and sentences to complete information segmentation. Secondly using the clustering algorithm, sentences are clustered to implement information combination. Finally representative sentences are extracted from each class to generate the summarization of caption, which can be considered to be video summarization Experimental results indicate that the method is feasible and useful.
	TO cite this article:Wang Si. Automatic Video Summarization Based Chinese Caption[OL].[ 9 November 2007] http://en.paper.edu.cn/en_releasepaper/content/16251


	10. Adaptive Singular Value Extraction (ASVE) as a Method of Image Compression,Hebbian learning
	Mei Tian,Siwei Luo,Lingzhi Liao,Lianwei Zhao
	Computer Science and Technology 22 November 2005
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	Abstract:In this paper we describe a neural network model-adaptive singular value extraction(ASVE) for multiple singular values extraction based on an extension of the Hebbian learning rule, and then apply it to image compression. The ASVE-based image compression scheme is based on the APEX–like algorithm proposed by Diamantaras. It is shown experimentally that the proposed scheme leads to good compression ratio and satisfactory image quality.
	TO cite this article:Mei Tian,Siwei Luo,Lingzhi Liao, et al. Adaptive Singular Value Extraction (ASVE) as a Method of Image Compression,Hebbian learning[OL].[22 November 2005] http://en.paper.edu.cn/en_releasepaper/content/3745

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