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WRI International Conference on Communications and Mobile Computing

作者： Wei Ning Zhang Zhongpei Li Shaoqian Univ Elect Sci & Technol China Natl Commun Lab Chengdu 610054 Sichuan Peoples R China

ISBN: (纸本)9780769535012

In Decode-and-Forward (DF) cooperative communication, cooperative nodes decode and retransmit each others' data to achieve spatial diversity. However, asymmetric inter nodes channel can cut down the performance of plain DF;and besides, simple signal retransmission for each other in plain DF is not an efficient diversity manner. In this paper, we propose a new DF cooperative scheme based on signal-space diversity, which can defeat the effect of asymmetric inter nodes channel and utilize diversity more efficiently. Compared with plain DF cooperative scheme, the new cooperative scheme only adds, a rotation and superposition operation on local and relay symbols before relaying, which only introduce a little more complexity at cooperation nodes. Simulation results show the new cooperative scheme achieves better bit-error rate performance than the plain DF cooperative scheme.

关键词： Decoding Mobile communication Relays detection algorithms Cyclic redundancy check Fading Mobile computing Bit error rate Diversity methods Signal design

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Content-Based Image Retrieval Using Automatically Determined Color Regions of Images

Content-Based Image Retrieval Using Automatically Determined...

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7th International Symposium on Applied Machine Intelligence and Informatics

作者： Sergyan, Szabolcs Budapest Tech John von Neumann Fac Informat Inst Software Technol H-1034 Budapest Hungary

ISBN: (纸本)9781424438013

In the content-based image retrieval systems such images what are similar to a given image can be retrieved, that consist some features or of the whole image, either of the homogeneous connected regions of the image. If the creation of the applied feature vectors is made by the homogeneous connected regions, then there is a great significance of the determination process of the objects. In this paper a segmentation algorithm is presented which uses automated parameter detemination, and a color histogram based similiraty measure is defined between images comprised color regions generated on the above-mentioned way. The test results prove the applied procedures are suitable for a the solution of the formulated task.

关键词： Image retrieval Content based retrieval Gray-scale Image segmentation Image databases Histograms Color detection algorithms Image analysis Algorithm design and analysis

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Development of a Brand New System using RFID Combining with Wireless Sensor Network (WSNs) for Real-time Doze Alarm

Development of a Brand New System using RFID Combining with ...

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3rd International Conference on Anti-Counterfeiting, Security, and Identification in Communication

作者： Chen, Po-Ying Wu, Po-Han Ong, Woei Jye Huang, Yu-Jung Lin, Wei-cheng Pan, TSung-long I Shou Univ Dept Informat Engn Kaohsiung Cty Taiwan I Shou Univ Dept Elect Engn Kaohsiung Cty Taiwan

ISBN: (纸本)9781424438822

Driver fatigue is a key factor of accident. Recently, there is a system using RFID combined with a wireless accelerometer sensor module used for doze detector has become an important issue. It is because that about ten percent of the dead drivers were caused by tired driving. The goal of this study was to develop the feasibility of a doze detector. In this work, we develop a brand new system which was a blood pressure detector sensor combing RFID's Tag to get a series data for doze alarm. We present that the blood pressure and heartbeat were used to monitor the driver's spirit state is the best method for doze alarm. In this study, we use the palpitation, the pulse sensory element, by with the wireless radio frequency label's union, obtains a series of body principle signal the data, develops a set of feasible against sleepy warning system. Because palpitation in sleep period has the periodic change, this article the analysis human body puts in order by standard distance method of difference (SDNN) under the mental murky condition, the system would start the warmer system and try to awaken the driver.

关键词： RFID doze alarm inertial sensor wireless accelermeter detection algorithms

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Using Multimodal Analysis for Story Segmentation of News Video

Using Multimodal Analysis for Story Segmentation of News Vid...

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1st IITA International Joint Conference on Artificial Intelligence

作者： Liu Hua-Yong He Tingting Cent China Normal Univ Dept Comp Sci Wuhan 430079 Hubei Peoples R China

ISBN: (纸本)9780769536156

The research proposes an approach of story segmentation for news video using multimodal analysis. The approach detects the topic-caption frames, and integrates them with silence clips detection, as well as shot segmentation to locate news story boundaries. On test data with 135,400 frames, the accuracy rate 87.9% and the recall rate 98.7% are obtained. The experimental results show the approach is valid and robust.

关键词： Gunshot detection systems Layout Video sharing Video compression Videoconference Indexing Change detection algorithms detection algorithms Information analysis Artificial intelligence

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Research on Software Vulnerability Testing Based on Function-Call

Research on Software Vulnerability Testing Based on Function...

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WRI International Conference on Communications and Mobile Computing

作者： Zeng, Fanping Chen, Minghui Yin, Kaitao Wang, Xufa Univ Sci & Technol China Dept Comp Sci Hefei 230026 Anhui Peoples R China

ISBN: (纸本)9780769535012

On the basis of analyzing the safety formulas for various types of vulnerabilities, this paper presents a novel method for software vulnerability, testing, which uses source-code conversion and the state of software. of function-call to test the vulnerability of software. This method could cover a variety of vulnerabilities. The implementation shows that it can check the attack of buffer overflow accurately, on the occasions of no large losses in performance.

关键词： Software testing Software safety Buffer overflow Information analysis Information security Mobile communication Mobile computing Computer science Performance loss detection algorithms

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Do Code Clones Matter? 09

Do Code Clones Matter?

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31st International Conference on Software Engineering (ICSE 2009)

作者： Juergens, Elmar Deissenboeck, Florian Hummel, Benjamin Wagner, Stefan Tech Univ Munich Inst Informat D-85748 Garching Germany

ISBN: (纸本)9781424434527

Code cloning is not only assumed to inflate maintenance costs but also considered defet-prone as inconsistent changes to code duplicates can lead to unexpected behavior Consequently, the identification of duplicated code, clone detection, has, been a very active area of research in recent years. Up to now, however, no substantial investigation of the consequences of code cloning on program correctness has been carried out. To remedy this shortcoming, this paper presents the results of a large-scale case study that was undertaken to find out if inconsistent changes to cloned code can indicate faults. For the analyzed commercial and open source systems we not only found that inconsistent changes to clones are very frequent but also identified a significant number of faults induced by such changes. The clone detection tool used in the case study implements a novel algorithm for the detection of inconsistent clones. It is available as open source to enable other researchers to use it as basis for further investigations.

关键词： Cloning Costs Large-scale systems Fault diagnosis Software maintenance Open source software Java detection algorithms Software quality Software engineering

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Fault detection in Multitooth Machine Tool Using Different Statistical Approaches

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IFAC Proceedings Volumes 2009年第8期42卷 474-479页

作者： A. Reñones J. Rodríguez L.J. De Miguel CARTIF Technology Center Boecillo Technology Park Boecillo Valladolid Spain Dept. Control and Systems Engineering University of Valladolid Spain

This paper describes a fault diagnosis method applied to a real multitooth machine tool. Several statistical alternatives are used to diagnose the different faults that may appear such as insert breakage within multitooth tools. These complex tools are used for mass production of pieces in car industry, and the described application has been applied into different kinds of machining operations and cutting conditions.

关键词： Fault diagnosis machining detection algorithms trends threshold selection statistical analisys fault detection

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Efficient Shadow detection of Color Aerial Images Based on Successive Thresholding Scheme

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IEEE Transactions on Geoscience and Remote Sensing 2009年第2期47卷 671-682页

作者： Kuo-Liang Chung Yi-Ru Lin Yong-Huai Huang Department of Computer Science and Information Engineering National Taiwan University of Science and Technology Taipei Taiwan

Recently, Tsai presented an efficient algorithm which uses the ratio value of the hue over the intensity to construct the ratio map for detecting shadows of color aerial images. Instead of only using the global thresholding process in Tsai's algorithm, this paper presents a novel successive thresholding scheme (STS) to detect shadows more accurately. In our proposed STS, the modified ratio map, which is obtained by applying the exponential function to the ratio map proposed by Tsai, is presented to stretch the gap between the ratio values of shadow and nonshadow pixels. By performing the global thresholding process on the modified ratio map, a coarse-shadow map is constructed to classify the input color aerial image into the candidate shadow pixels and the nonshadow pixels. In order to detect the true shadow pixels from the candidate shadow pixels, the connected component process is first applied to the candidate shadow pixels for grouping the candidate shadow regions. For each candidate shadow region, the local thresholding process is performed iteratively to extract the true shadow pixels from the candidate shadow region. Finally, for the remaining candidate shadow regions, a fine-shadow determination process is applied to identify whether each remaining candidate shadow pixel is the true shadow pixel or not. Under six testing images, experimental results show that, for the first three testing images, both Tsai's and our proposed algorithms have better detection performance than that of the algorithm of Huang et al., and the shadow detection accuracy of our proposed STS-based algorithm is comparable to Tsai's algorithm. For the other three testing images, which contain some low brightness objects, our proposed algorithm has better shadow detection accuracy when compared with the previous two shadow detection algorithms proposed by Huang et al. and Tsai.

关键词： Color Sociotechnical systems Testing Pixel Object detection Lighting Brightness detection algorithms Councils Computer science

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Vision based safety system for human and robot arm detection *

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IFAC Proceedings Volumes 2009年第16期42卷 68-72页

作者： Andrzej Grabowski Robert Kosiński Marek Dźwiarek Department of Safety Engineering Central Institute for Labour Protection - National research Institute 00-701 Warsaw Poland Department of Safety Engineering Central Institute for Labour Protection - National research Institute 00-701 Warsaw Poland Department of Physics Warsaw University of Technology

Abstract We present a vision based system for the advanced recognition of danger situation for safety control. The sequence of the images from two cameras located above the robot is presented to the system in order to detect a new object appearing in dangerous zone, near the robot arm. Presented safety system was developed for human-robot cooperative system, in which the machine region and the human region cannot be separated due to the overlap and the movement both from human and from machines. Experiments conducted using low quality images indicate that our system can work in a real time and detect successively dangerous situations in the presence of high level of noise and for wide range of illumination level.

关键词： detection algorithms Safety control Stereo vision Image processing Industrial robots

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Linguistic Steganography detection Algorithm Using Statistical Language Model

Linguistic Steganography Detection Algorithm Using Statistic...

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International Conference on Information Technology and Computer Science, ITCS

作者： Peng Meng Liusheng Hang Wei Yang Zhili Chen Hu Zheng Department of Computer Science and Technology National High Performance Computing Center Hefei Hefei China Department of Computer Science and Technology National High Performance Computing Center Hefei Xiaoxian Anhui China

Steganography is a technique for embedding secret messages into carriers. Linguistic steganography is a branch of text steganography. Research on attacking methods against linguistic steganography plays an important role in information security (IS) area. In this paper, a linguistic steganography detecting algorithm using statistical language model (SLM) is presented. An experiment to detect text segments generated by linguistic steganography systems NICETEXT, TEXTO and Markov-chain-based is carried out. The result of our experiment shows when the text segment size is 2K and 5K, the detecting accuracies are found to be 93.9% and 96.3% respectively.

关键词： Steganography detection algorithms Testing Natural languages Training data Cryptography Computer science Information security Information technology High performance computing

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