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2014 International Conference on Information and Network Security, ICINS 2014

作者： Lu, Yihui Luo, Wenjian Zhao, Dongdong School of Computer Science and Technology University of Science and Technology of China Hefei Anhui230027 China Anhui Province Key Laboratory of Software Engineering in Computing and Communication University of Science and Technology of China Hefei Anhui230027 China

ISBN: (纸本)9781849199094

In a negative survey, a category which does not agree with the fact of each participant is collected. Hence, data collectors cannot acquire the realistic data of participants, and this can efficiently protect participants' private information and sensitive data. However, existing approaches used to estimate the distribution of positive surveys from negative surveys are not practical and time-consuming. This paper proposed a method in order to acquire practical estimation results with a lower computing cost, namely fastNStoPS. Usually, privacy and utility are used to measure the performances of negative surveys, and they are two conflicting metrics. Users have different demands on privacy (or utility) under different circumstances. The optimal negative surveys are a Pareto font of these two objectives. To demonstrate its practicability, the proposed fastNStoPS method is embedded into a Differential Evolution (DE), which is used to find the optimal negative surveys. The experiment results show that the DE has a much better performance on find the optimal negative surveys, and the computing cost is very low.

关键词： Surveys

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A sea-land segmentation scheme based on statistical model of sea

A sea-land segmentation scheme based on statistical model of...

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4th International Congress on Image and Signal Processing, CISP 2011

作者： You, Xin Li, Weihai MOE-Microsoft Key Laboratory of Multimedia Computing and Communication University of Science and Technology of China Hefei Anhui China

ISBN: (纸本)9781424493067

Sea-land segmentation is a key step for target detection. Due to the complex texture and uneven gray value of the land in optical remote sensing image, traditional sea-land segmentation algorithms often recognize land as sea incorrectly. A new segmentation scheme is presented in this paper to solve this problem. This scheme determines the threshold according to the adaptively established statistical model of the sea area, and removes the incorrectly classified land according to the difference of the variance in the statistical model between land and sea. Experimental results show our segmentation scheme has small computation complexity, and it has better performance and higher robustness compared to the traditional algorithms. © 2011 IEEE.

关键词： Optical remote sensing

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Edge saliency map detection with texture suppression

Edge saliency map detection with texture suppression

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International Conference on Image and Graphics

作者： Ao, Huanhuan Yu, Nenghai MOE-Microsoft Key Laboratory of Multimedia Computing and Communication University of Science and Technology of China Hefei Anhui China

ISBN: (纸本)9780769545417

Edge is a basic feature in the field of computing vision. So to find edge saliency map is an indispensable operation for many applications on image processing. In this paper we present a fast algorithm to find edge saliency map for a natural image. The approach integrates three basic edge features: edge gradient value, edge segment length and edge density, and it works well to detect salient region boundaries and to suppress ill edges from texture. An edge saliency map can be used to image segmentation and boundaries detection. Experimental results demonstrate that our algorithm outperforms other edge saliency detection methods. Finally, our algorithm is applied on salient objects segmentation, compared with several stateof- the-art salient region detection methods and the results show our work is valuable. © 2011 IEEE.

关键词： Image segmentation

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Image annotations based on semi-supervised clustering with semantic soft constraints

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PCM 2006: 7th Pacific Rim Conference on Multimedia

作者： Xiaoguang, Rui Pingbo, Yuan Nenghai, Yu MOE-Microsoft Key Laboratory of Multimedia Computing and Communication University of Science and Technology of China Hefei Anhui China

ISBN: (纸本)3540487662

An efficient image annotation and retrieval system is highly desired for the increase of amounts of image information. Clustering algorithms make it possible to represent images with finite symbols. Based on this, many statistical models, which analyze correspondence between visual features and words, have been published for image annotation. But most of these models cluster only using visual features, ignoring semantics of images. In this paper, we propose a novel model based on semi-supervised clustering with semantic soft constraints which can utilize both visual features and semantic meanings. Our method first measures the semantic distance with generic knowledge (e.g. WordNet) between regions of the training images with manual annotations. Then a semi-supervised clustering algorithm with semantic soft constraints is proposed to cluster regions with semantic soft constraints which are formed by semantic distance. The experiment results show that our model improves performance of image annotation and retrieval system. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Image analysis

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An automatic matching algorithm based on SIFT descriptors for remote sensing ship image

An automatic matching algorithm based on SIFT descriptors fo...

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International Conference on Image and Graphics

作者： You, Xin Yu, Nenghai MOE-Microsoft Key Laboratory of Multimedia Computing and Communication University of Science and Technology of China HeFei Anhui China

ISBN: (纸本)9780769545417

SIFT judge the true or false targets according to the density of matching feature points. But for different images, the numbers of matching feature points are different, the density is different. So SIFT can't judge the real targets automatically, requiring human-computer interaction. This paper proposes an algorithm based on SIFT realizing the automatic judgment of real targets. Firstly, do the image segmentation. Secondly, match the feature points in every area. At last, do frequency domain analysis for each matching feature vectors. The experimental results show that our algorithm solves the problem that SIFT judges the real target needing human-computer interaction. and also, our algorithm can determine the location and number of real targets. © 2011 IEEE.

关键词： Frequency domain analysis

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Implicit interpolation of time vector series

Implicit interpolation of time vector series

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2011 7th International Conference on Natural Computation, ICNC 2011

作者： Li, Dao-Lun Zha, Wen-Shu Lu, De-Tang Department of Modern Mechanics University of Science and Technology of China China Key Laboratory of Software in Computing and Communication of Anhui Province University of Science and Technology of China Hefei 230027 China

ISBN: (纸本)9781424499533

Time vector series abound in many fields, which are different from time series. Based on mapping and implicit function interpolation, the method of implicit interpolation over time vector series is developed and studied. Time vector series are mapped into a sequence of closed curves or surfaces, which are seen as the interpolation data set. Based on the interpolation data set, the implicit interpolation function is constructed and from which an isoline is drawn. The inverse mapping of the isoline is the prediction of vector series at the new time. Based on the well logging data an application is given to predict the unknown isotope logging data of year 2004 with the known data of year 2003 and 2005 which shows the performance of the method. © 2011 IEEE.

关键词： Mapping

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software Backdoor Analysis Based on Sensitive Flow Tracking and Concolic Execution

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Wuhan University Journal of Natural Sciences 2016年第5期21卷 421-427页

作者： XU Xin WANG Jiajie CHENG Shaoyin ZHANG Tao JIANG Fan School of Computer Science and Technology University of Science and Technology of China Hefei 230027 Anhui China China Information Technology Security Evaluation Center Beijing 100085 China Anhui Province Key Lab of Software in Computing and Communication Hefei 230026 Anhui China

In order to effectively detect and analyze the backdoors this paper introduces a method named Backdoor Analysis based on Sensitive flow tracking and Concolic Execution（BASEC）.BASEC uses sensitive flow tracking to effectively discover backdoor behaviors, such as stealing secret information and injecting evil data into system, with less false negatives. With concolic execution on predetermined path, the backdoor trigger condition can be extracted and analyzed to achieve high accuracy. BASEC has been implemented and experimented on several software backdoor samples widespread on the Internet, and over 90% of them can be detected. Compared with behavior-based and system-call-based detection methods, BASEC relies less on the historical sample collections, and is more effective in detecting software backdoors, especially those injected into software by modifying and recompiling source codes.

关键词： software backdoor detection data flow tracking concolic execution malware detection

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Precisely reconstruct porous media model based on synchrotron radiation slice images

Precisely reconstruct porous media model based on synchrotro...

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2009 International Conference on Computational Intelligence and software Engineering, CiSE 2009

作者： Song, Bo Dong, Lanfang Lu, Detang Anhui Province Key Lab of Software in Computing and Communication School of Computer Science and Technology USTC Hefei China Institute of Engineering and Science Software USTC Hefei China

ISBN: (纸本)9781424445073

In this paper a method for precisely reconstructing porous media three-dimensional model based on slice images is proposed. It first processes the original slice images, then uses 3D seed filling algorithm to find all pores based on the constructed spatial data, finally uses the modified marching cubes algorithm based on bounding box technology to render material skeletons and pores. Associating with the porous media flow specific application, a novel invalid pore removing method is proposed. The final reconstructed model shows that our method can precisely reconstruct the pore network and recover the pore shape. It also can identify the pores which meet spatial scale threshold conditions. Comparison of running time between the original marching cubes algorithm and the modified marching cubes algorithm is given. It shows that due to the bounding box technology the running time of modified marching cubes algorithm is shorten greatly when the pores are far away from each other. ©2009 IEEE.

关键词： Porous materials

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A framework for optimization in multi-channel multi-radio wireless mesh networks

A framework for optimization in multi-channel multi-radio wi...

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IET International Conference on Wireless Mobile and Multimedia Networks Proceedings, ICWMMN 2006

作者： Wanli, Dong Naijie, Gu Kun, Bi Kun, Tu Xiaohu, Liu Dept. of Comput. Sci. and Technol. Univ. of Sci. and Technol. of China Hefei Anhui 230027 China Anhui Province Key Laboratory of Software in Computing and Communication Hefei Anhui 230027 China

ISBN: (纸本)0863416446

Multi-hop infrastructure wireless mesh networks offer increased reliability, coverage and reduced equipment costs over their single-hop counterpart, wireless LANs. Equipping wireless routers with multiple radios further improves the capacity by transmitting over multiple radios simultaneously using orthogonal channels. However, due to the limited number of available orthogonal channels, interference is still a factor in such networks. In this paper, we propose a network model that captures the key practical aspects of such systems and characterize the constraints binding their behavior. We mathematically formulate the optimization framework, taking into account the interference constraints, the number of channels in the network and the number of radios available at each mesh router etc. We then use this framework to develop solutions for multiple objectives subject to different kind of fairness constraints on allocation of scarce wireless capacity among mobile clients. The methods proposed in this paper can be a valuable tool for network designers in planning network deployment and for optimizing different performance objectives.

关键词： Wireless sensor networks

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Precise eye localization with AdaBoost and fast radial symmetry

Precise eye localization with AdaBoost and fast radial symme...

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2006 International Conference on Computational Intelligence and Security, ICCIAS 2006

作者： Zhang, Wencong Chen, Hong Yao, Peng Li, Bin Zhuang, Zhenquan University of Science and Technology of China MOE-Microsoft Key Laboratory of Multimedia Computing and Communication Hefei 230026 Anhui China

ISBN: (纸本)1424406056

The accuracy of face alignment affects greatly the performance of a face recognition system. Since the face alignment is usually conducted using eye positions, the algorithm for accurate eye localization is therefore essential for the accurate face recognition. In this paper, we propose a novel algorithm for eye localization. Based on the special gray distribution in the eye region, proper AdaBoost detection is adaptively trained to segment the eye region. After getting the region of eyes, a fast radial symmetry operator is used to precisely locate the center of eyes. Experimental results show that the method can accurately locate the eyes, and it is robust to the variations of face poses, expressions, accessions and illuminations. © 2006 IEEE.

关键词： Face recognition

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