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Minimizing the Localization Error In Wireless Sensor Networks

Procedia Engineering 2012年 38卷 3097-3104页

作者： S. Balasubramanian R. Kavitha Post -Graduate Scholar Department of Computer Science & Engineering Anna University of Technology Trichirapalli India Assitant Professor Department of Computer science & Engineering Anna University of Technology Trichirapalli India

Localization is an essential and important research issue in wireless sensor networks (WSN).Most localization schemes focus on static sensor ***,Mobile sensors required in some applications to acquire all the relevant dat. As such, a localization scheme defined for mobile sensor networks is necessary to track the moving nodes In this paper,we propose a localization scheme, the normal nodes without location information can estimate their own location information can estimate their own locations by gathering the positions of location aware nodes (anchor nodes) and the one-hop normal nodes whose locations are estimated from the anchor nodes. In addition, we propose a scheme that predicts the moving direction of sensor nodes to increase localization accuracy. Simulation results show that the localization error in our proposed scheme is lower than the previous schemes in various mobility models and moving speeds.

关键词： Wireless Sensor networks mobile node localization monte carlo

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Customized News Filtering and Summarization System Based on Personal Interest

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Procedia Engineering 2012年 38卷 2214-2221页

作者： M.H. Anand babu G. Mani Post-Graduate Scholar Department of Computer science & Engineering Anna University of Technology Trichirapalli India Assistant Professor Department of Computer Science & Engineering Anna University of Technology Trichirapalli India

Abstract_ In the World Wide Web the information consists large amount of news contents. In Web intelligence Recommendation, filtering, and summarization of Web news have received much attention and also aims to find interesting news to the users .In this paper we present Customized news filtering and summarization system based on personal interest and it summarizes concise content for users .A user interest model induced by embedded learning component of CNFS and it also recommends customized news. Retrieving useful Web news involves both filtering and keyword extraction and also maintains key word knowledge base. The non-news content irrelevant to the news Webpage is filtered out .This extraction method substantially outperforms methods based on term frequency and lexical chains to represent semantic relation between words.

关键词： Customized News Web News Filtering Web News Summarization nowledgebase

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Trends in mobile Augmented Reality

Trends in mobile Augmented Reality

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IEEE Annual International Symposium Virtual Reality

作者： Dieter Schmalstieg Tobias Höllerer Institute for Computer Graphics and Vision Graz University of Technology Austria Department of Computer Science University of California Santa Barbara USA

This tutorial provides a detailed introduction to mobile Augmented Reality (AR). AR is a key user-interface technology for personalized, situated information delivery, navigation, on-demand instruction and games. The widespread availability and rapid evolution of smartphones enables software-only solutions for AR where it was previously necessary to assemble custom hardware solutions. However, ergonomic and technical limitations of smartphones as a platform make this a challenging endeavor. In particular, it is necessary to design novel efficient real-time computer vision and computer graphics algorithms, and create new lightweight forms of interaction with the environment through small form-factor devices. This tutorial will present selected technical achievements in this field and highlight some examples of successful application prototypes.

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Evaluating the influence of motivational and educational strategies in personalized medication management

Evaluating the influence of motivational and educational str...

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International Conference on e-health Networking, Applications and Services (HealthCom)

作者： Min-Hui Foo Jit Chee Chua Chen Koon Toh Jamie Ng Computer Graphics and Interface Department Institute for Infocomm Research Agency for Science Technology and Research Singapore

Medication non-adherence is a major problem to all stakeholders, posing escalating costs and risks to patients as well as substantial economic burden to the health care industry. Solutions that attempt to broaden the functions and capabilities of medication management have hitherto been employing a narrow-focused approach, often failing to address the multitude of factors that leads to the phenomena. In this paper, we present an experimental comparison of user attitude towards medication adherence using a single-focused versus a multifaceted personalized medication management system that has been implemented with elements of motivational and educational strategies. The findings from this research suggest evidence of the significance and usefulness of applying a multifaceted approach, in particular, the implementation of motivational and educational strategies in the design of a personalized medication management system in addressing medication non-adherence.

关键词： Drugs Portals Biomedical imaging Industries Complexity theory

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Image multilevel thresholding using EM and de based on generalized Gaussian mixture model

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ICIC Express Letters, Part B: Applications 2012年第2期3卷 305-312页

作者： Nie, Fangyan Zhang, Pingfeng Pan, Meisen Rong, Qiusheng Institute of Graphics and Image Processing Technology College of Computer Science and Technology Hunan University of Arts and Science No. 170 Dongting Road Changde 415000 China

A novel optimal multilevel thresholding for histogram-based image segmentation is presented in this paper. It is based on the estimation of the statistical parameters of different classes under the assumption that these classes follow generalized Gaussian distribution mixture model. To fit the generalized Gaussian mixture to the histogram of image, the expectation maximization (EM) and a modified differential evolution (DE) hybrid algorithm is developed to estimate the number of generalized Gaussian mixture of such histogram and their corresponding parameterization. The performance of the proposed algorithm is evaluated vis-à-vis Otsu method and EM based on Gaussian distribution method. The experimental results show the effectiveness of the proposed method. © 2012 ICIC International.

关键词： Image segmentation

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A Comparative Study of Back Propagation and Simulated Annealing Algorithms for Neural Net Classifier Optimization

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Procedia Engineering 2012年 38卷 448-455页

作者： Subhendu Sekhar Behera Subhagata Chattopadhyay B.Tech Department of Computer Science & Engineering National Institute of Science & Technology Berhampur-761008 India Professor Department of Computer Science & Engneering National Institute of Science & Technologys Berhampur-761008 India

Optimizing the convergence of a Neural Net Classifier (NNC) is an important task to increase the speed and accuracy in the decision-making process. Learning algorithms are used to facilitate such optimization process. Simulated Annealing (SA) and Back propagation (BP) are two popular optimization algorithms. The objective of the study is to compare the optimization performances of SA and BP on a feed-forward NNC that relies more on BP. For the study, five standard datasets, such as WINE, IRIS, DIABETES, TEACHING ASSISTANT EVALUATION (TAE), and GLASS are considered. Experimental results reveal that during training and testing SA has outperformed BP (except for WINE data and that is during testing only). The generalised notion is that BP is one of the best optimisers for NNC. Hence, the experimental results are interesting. The authors assume that it is due to the fact that SA is a much randomized approach to find the global solution, while BP is a gradient-based search and thus has an inclination to be trapped in the local minima. Another important reason could be that BP relies on its best learning (occurred during its training) while classifying test cases, which might not be appropriate for a new dataset. SA, on the other hand, initiates a new search with the given dataset and because of its randomized search space, is able to converge into the global minima. The paper therefore argues that for optimising in a classical NNC, SA is more efficient than BP because of its random and flexible search space.

关键词： ANN Back Propagation Simulated Annealing Classification Comparison

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Key frame selection based on Jensen-Rényi divergence

Key frame selection based on Jensen-Rényi divergence

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International Conference on Pattern Recognition

作者： Qing Xu Xiu Li Zhen Yang Jie Wang Mateu Sbert Jianfu Li School of Computer Science and Technology Tianjin University Tianjin China Graphics and Imaging Laboratory Universitat de Girona Girona Spain College of Computer Science and Technology CAUC Tianjin China

ISBN: (纸本)9781467322164

The key frame extraction is designed for obtaining a (very) compressed set of video frames that summarizes the essential content of a video sequence. In this paper, a well-known information theoretic measure, the Jensen-Rényi divergence (JRD), is studied to estimate the frame-by-frame distance between consecutive video images, for segmenting shots/subshots and for choosing key frames. Our new key frame extraction method, which is effective and computationally fast, contributes to a good and quick understanding of a large amount of video data.

关键词： Entropy Video sequences Information theory Educational institutions Measurement Cameras Pattern recognition

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CFD simulation of liquid-liquid extraction columns and visualization of eulerian datasets

CFD simulation of liquid-liquid extraction columns and visua...

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International Research and Training Group 1131 Workshop on Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering, VLUDS 2011

作者： Hlawitschka, Mark W. Chen, Fang Bart, Hans-Jörg Hamann, Bernd Department of Separation Science and Technology University of Kaiserslautern Germany Computer Graphics and HCI Group University of Kaiserslautern Germany CS Department Institute for Data Analysis and Visualization University of California Davis United States 2 University of Kaiserslautern Germany

ISBN: (纸本)9783939897460

In this joint work, a complete framework for modeling, simulating and visualizing multiphase fluid flow within an extraction column is presented. We first present a volume-of-fluid simulation, which is able to predict the surface of the droplets during coalescence. However, a fast and efficient model is needed for the simulation of a liquid-liquid extraction column due to the high number of occurring droplets. To simulate the velocity and droplet size in a DN32 extraction column, a coupled computational fluid dynamic-population balance model solver is used. The simulation is analyzed using path-line based visualization techniques. A novel semi-automatic re-seeding technique for droplet path-line integration is proposed. With our technique, path-lines of fluid droplets can be re-initialized after contact with the stirring devices. The droplet breakage is captured, allowing the engineer to improve the design of liquid-liquid columns layout.

关键词： Computational fluid dynamics

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Clone Wrapper Detection Technique: Clones Family Tree Ontology

Clone Wrapper Detection Technique: Clones Family Tree Ontolo...

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2012 International Conference on computer and Software Modeling(ICCSM 2012)

作者： Moses Lesiba Gadebe George Enson Ditsa Department of Computer Science Tshwane University of TechnologySouth Africa Graduate student Department of Computer Science Tshwane University of TechnologySouth Africa Professor

Code clone is a code portion in one source code that is similar or identical to another source code. Current clone code detection techniques detect, refactor, remove and redirect clones without being archived in the Discoverable Digital Clone Library （DDCL）. This paper introduces Clone Wrapper Detection Technique （CWDT） that detects and wraps commonly used structural clones into a DDCL and extract metadata of each clone to induce Family Tree Ontology of related class clones. In order to evaluate the usefulness of CWDT, we conducted preliminary experiments on large open source software including Java Development Kit （JDK）, Apache and JConnector projects. The preliminary results show a great number of structural reusable and sharable Type1, Type2 and Type3 clones detected from large system software. And also the results of the experiments show a significant reduction in clone detection time.

关键词： Code Clones Family Tree Ontology Vectors Matrix Detection techniques discoverable library

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Classification of breast mammograms into benign and malignant

International Journal of Multimedia and Ubiquitous Engineeri...

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International Journal of Multimedia and Ubiquitous Engineering 2012年第2期7卷 359-363页

作者： Talha, Muhammad Sulong, Ghazali Bin Alarifi, Abdulrahman College of Science Research Centre King Saud University Riyadh Saudi Arabia Department of Computer Graphics and Multimedia Faculty of Computer Science and Information System Universiti Teknologi Malaysia Malaysia Computer Research Institute King Abdulaziz City for Science and Technology Riyadh Saudi Arabia

In this paper, we have proposed a method that consists of combination of different methods. First we have performed enhancement on breast mammogram to enhance the image quality. After that discrete cosine transform has been applied for features extraction. Bayesian Classifier has been used for classification into benign and malignant. It has been noted that results are very much satisfactory. We have used MIAS data set for experimentation purpose. Proposed method performs good when we have tested on different images.

关键词： Discrete cosine transforms

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