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Pruned fuzzy K-nearest neighbor classifier for beat classification

Journal of Biomedical Science and engineering 2010年第4期3卷 380-389页

作者： Muhammad Arif Muhammad Usman Akram Fayyaz-ul-Afsar Amir Minhas Department of Computer Science and Engineering Air University Software Engineer Elixir technologies Pakistan (Pvt) Ltd Department of Computer and Information Sciences Pakistan Institute of Engineering and Applied Sciences

Arrhythmia beat classification is an active area of research in ECG based clinical decision support systems. In this paper, Pruned Fuzzy K-nearest neighbor (PFKNN) classifier is proposed to classify six types of beats present in the MIT-BIH Arrhythmia database. We have tested our classifier on ~ 103100 beats for six beat types present in the database. Fuzzy KNN (FKNN) can be implemented very easily but large number of training examples used for classification can be very time consuming and requires large storage space. Hence, we have proposed a time efficient Arif-Fayyaz pruning algorithm especially suitable for FKNN which can maintain good classification accuracy with appropriate retained ratio of training data. By using Arif-Fayyaz pruning algorithm with Fuzzy KNN, we have achieved a beat classification accuracy of 97% and geometric mean of sensitivity of 94.5% with only 19% of the total training examples. The accuracy and sensitivity is comparable to FKNN when all the training data is used. Principal Component Analysis is used to further reduce the dimension of feature space from eleven to six without compromising the accuracy and sensitivity. PFKNN was found to robust against noise present in the ECG data.

关键词： Arrhythmia ECG K-Nearest Neighbor Pruning Fuzzy Classification

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Protecting corporate ICT infrastructures by using digital forensics

Protecting corporate ICT infrastructures by using digital fo...

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Computer information systems and Industrial Management Applications (CISIM)

作者： Syed Naqvi Gautier Dallons Christophe Ponsard Software and System Engineering Department Centre d''Excellence en Technologies de l''Information et de la Communication Charleroi Belgium

Digital forensics is usually seen as a specialised domain of information and communication technologies (ICT) that is employed when a serious crime involving ICT is committed. It is by and large seen as a responsibility of the computer crime units of law enforcement agencies to conduct examinations of the ICT resources used in a crime. The staff members of a corporate ICT team are therefore not required to acquire the digital forensics analysis skills and the corresponding investigation tools. This trend is experiencing a significant shift in the recent years as the commercial interests of corporate sector increasingly require the post-incident analysis capabilities to ensure business continuity. This paper highlights the role of digital forensics in the corporate ICT infrastructure. It presents a framework for embedding digital forensics analysis techniques at various stages of corporate ICT lifecycle. A set of best practices for the corporate ICT security policy is also outlined to keep the operational costs of digital forensics at the optimal level.

关键词： Digital forensics Security Computers Best practices

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A SOA based approach to user-oriented system migration

A SOA based approach to user-oriented system migration

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10th IEEE International Conference on Computer and information Technology, CIT-2010, 7th IEEE International Conference on Embedded software and systems, ICESS-2010, 10th IEEE Int. Conf. Scalable Computing and Communications, ScalCom-2010

作者： Zhang, Zhuo Yang, Hongji Zhou, Dongdai Zhong, Shaochun Software Technology Research Laboratory De Montfort University Leicester LE1 9BH United Kingdom Software School in NorthEast Normal University NENU ChangChun 130024 China Institute of Ideal Information and Technology NENU ChangChun 130024 China Engineering Research Center of E-Learning Technologies Ministry of Education ChangChun 130024 China

ISBN: (纸本)9780769541082

SOA migration is a complicated task. To ensure the migration performance, some directions on modeling migration approaches are needed. A user-oriented SOA migration model is proposed in this paper. The model is defined as a 6-tuple. The detailed descriptions on each tuple are addressed. Especially, the concrete algorithm on matching scheme and final SOA migration scheme are provided. The model can benefit the planning and deployment of a SOA migration project. A case study on the migration schemes of an internal management system for primary and secondary schools is provided to further depict this model. Through analyzing the results, we conclude that the performance of this model is promising. © 2010 IEEE.

关键词： Legacy systems

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Building detection and radar footprint reconstruction from single VHR SAR images

Building detection and radar footprint reconstruction from s...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Adamo Ferro Dominik Brunner Lorenzo Bruzzone Department Information Engineering and Computer Science University of Trento Trento Italy Fraunhofer Institute of Optronics System Technologies and Image Exploitation Ettlingen Germany

The development of methods for the automatic detection and reconstruction of building radar footprints fromsingle very high resolution (VHR) synthetic aperture radar (SAR) images is a difficult task for two main reasons: i) the very high complexity of VHR SAR images; and ii) the need to develop efficient algorithms that can be applied to large images in order to be used in real applications. In this paper we present a novel method for automatic building detection, which also reconstructs the 2D radar footprint of the detected buildings. The method is based on the extraction of a set of low-level features from the images and on their combination in more structured primitives. Then the semantic meaning of primitives is used for the definition of building candidates and for the radar footprint reconstruction. In order to process large VHR SAR images, the method has been implemented on a computer cluster. We demonstrate the effectiveness of the method using a large TerraSAR-X spotlight scene.

关键词： Buildings Spaceborne radar Image reconstruction Feature extraction Radar imaging Radar detection

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DSpam: Defending Against Spam in Tagging systems via Users' Reliability

DSpam: Defending Against Spam in Tagging Systems via Users' ...

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International Conference on Parallel and Distributed systems (ICPADS)

作者： Yongang Wang Ennan Zhai Cui Cao Yongqiang Xie Zhaojun Wang Jianbin Hu Zhong Chen Key Laboratory of High Confidence Software Technologies Ministry of Education China School of Electronics Engineering and Computer Science Peking University China Institute of Electronic System Engineering Corporation China

Resisting spam in tagging system is very challenging. This paper presents DSpam, a novel spam-resistant tagging system which can significantly diminish spam in tag search results with users' reliabilities. DSpam client groups other users into unfamiliar users and interacted users according to the fact whether the client has interacted with such users. For an unfamiliar user, the client computes his reliability by tagging behavior-based mechanism which reflects correlation of annotations between them. For an interacted user, the reliability includes two parts: feedback-based reliability, which indicates direct interactions between that user and the client, and recommendation reliability, which indicates the evaluation about that user from the client's friends. The client ranks search result with the average reliabilities of himself with respect to annotators of each result. Experimental results show DSpam can effectively resist tag spam and work better than existing tag search schemes.

关键词： Reliability Tagging Computational modeling Mathematical model Equations Social network services Videos

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DAWN: Energy efficient data aggregation in WSN with mobile sinks

DAWN: Energy efficient data aggregation in WSN with mobile s...

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2010 IEEE 18th International Workshop on Quality of Service, IWQoS 2010

作者： Tang, Shao Jie Yuan, Jing Li, Xiang Yang Liu, Yunhao Chen, Gui Hai Gu, Ming Zhao, Ji Zhong Dai, Guojun Department of Computer Science Illinois Institute of Technology Chicago IL United States State Key Laboratory of Novel Software Technology NanJing University NanJing China Department of Computer Science and Engineering HKUST China Key Laboratory of Information System Security Tsinghua University China Institute of Computer Application Technology Hangzhou Dianzi University China Department of Computer Science and Engineering Xi'An JiaoTong University China

ISBN: (纸本)9781424459889

The benefits of using mobile sink to prolong sensor network lifetime have been well recognized. However, few provably theoretical results remain are developed due to the complexity caused by time-dependent network topology. In this work, we investigate the optimum routing strategy for the static sensor *** further propose a number of motion stratifies for the mobile sink(s) to gather real time data from static sensor network, with the objective to maximize the network lifetime. Specially, we consider a more realistic model where the moving speed and path for mobile sinks are constrained. Our extensive experiments show that our scheme can significantly prolong entire network lifetime and reduce delivery delay.

关键词： Sensor networks

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A vehicle state estimation method based on GPS/INS integrated navigation system

A vehicle state estimation method based on GPS/INS integrate...

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Chinese Conference on Pattern Recognition

作者： Cai, Zixing Ren, Xiaoping Li, Zhao Department of Information Science and Engineering Central South University Changsha 410083 China Institute of Intelligent System and Software Central South University Changsha 410083 China

ISBN: (纸本)9781424472109

A method used to estimate the state of vehicles when driving was proposed in this paper. This method was based on GPS/INS integrated navigation system. The kinematics model was set up for four-wheeled vehicle, and nonholonomic constraint was added to this model. Estimation equations of velocity errors of the vehicle were then given out, which used velocity and gesture angles information of the vehicle to estimate velocity errors of side and forward. Stability of the whole vehicle can be judged by velocity errors of the vehicle. Experiment showed that this state estimation method was of validity. ©2010 IEEE.

关键词： State estimation

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Composition and categorization of aspect-oriented design patterns

Composition and categorization of aspect-oriented design pat...

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International Symposium on Applied Machine Intelligence and Informatics (SAMI)

作者： Radoslav Menkyna Valentino Vranić Ivan Polášek Softec s r o Bratislava Slovakia Institute of Informatics and Software Engineering Faculty of Informatics and Information Technologies Slovak University of Technology Bratislava Slovakia

This paper presents a composition of four particular aspect-oriented design patterns: Policy, Cuckoo's Egg, Border Control and Exception Introduction. The composition is studied in the context of the class deprecation problem in team development. Each of these four patterns is a representative of one of the three structural categories of aspect-oriented design patterns: pointcut, advice, and inter-type declaration pattern category. Although aspect-oriented patterns mostly can be composed with one another without having to modify the code of the pattern that has been applied first, this is not always so. Based on the structural categorization of aspect-oriented design patterns, a regularity in their sequential composition is uncovered and discussed in general and within a detailed example of Policy, Cuckoo's Egg, Border Control, and Exception Introduction composition and further examples of aspect-oriented design pattern compositions.

关键词： Informatics Application software Machine intelligence software engineering information technology Paper technology Programming profession Computer languages Springs

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A Petri Net-Based Method for Data Validation of Web Services Composition

A Petri Net-Based Method for Data Validation of Web Services...

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IEEE Annual International Computer software and Applications Conference (COMPSAC)

作者： Chunxiang Xu Wanling Qu Hanpin Wang Zizhen Wang Xiaojuan Ban Institute of software School of EECS Peking University Beijing China Ministry of Education Key laboratory of High Confidence Software Technologies China Information Engineering School University of Science and Technology Beijing China

For some time, the modeling and verification of web services composition are focused on control flow. Recent years, data validation has gained researchers' attention too, as it is important to the correct execution of the composed web service. To verify data-related requirements of web services composition, we present a Petri net-based method for the data validation of web services composition developed with Web Service Business Process Execution Language. Data-flow related aspects of the WS-BPEL process are described with WS-CPN, which is a special kind of Colored Petri net supporting the description of XML Schema types. In WS-CPN, data types are described by CPN ML, a description language for Colored Petri net. We present WS-CPN models for various activities of a WS-BPEL process, which can be combined together to obtain the WS-CPN model for the entire composition process. Data validation problems in web services composition including redundant data, lost data, inconsistent data and misdirected data are discussed, and the methods for validating these problems are given based on WS-CPN.

关键词： XML Image color analysis Web services Data models Finite element methods Argon Analytical models

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Extraction of visual and acoustic features of the driver for monitoring driver ergonomics applied to extended driver assistance systems

Advances in Intelligent and Soft Computing

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Advances in Intelligent and Soft Computing 2010年 81卷 83-94页

作者： Vankayalapati, H.D. Anne, K.R. Kyamakya, K. Institute of Smart System Technologies Transportation Informatics Research Group University of Klagenfurt Klagenfurt Austria Department of Information Technology TIFAC-CORE in Telematics VR Siddhartha Engineering College Vijayawada India

ISBN: (纸本)9783642155024

The National Highway Traffic Safety Administration (NHTSA) estimates that in the USA alone approximately 100,000 crashes each year are caused primarily by driver drowsiness or fatigue. The major cause for inattentiveness has been found to be a deficit in what we call in this paper an extended view of ergonomics, i.e. the "extended ergonomics status" of the driving process. This deficit is multidimensional as it includes aspects such as drowsiness (sleepiness), fatigue (lack of energy) and emotions/stress (for example sadness, anger, joy, pleasure, despair and irritation). Different approaches have been proposed for monitoring driver states, especially drowsiness and fatigue, using visual features of the driver such as head movement patterns eyelid movements, facial expressions or all of these together. The effectiveness of the approach depends on the quality of the extracted features, efficiency and the responsiveness of the classification algorithm. In this work, we propose the usage of acoustic information along with visual features to increase the robustness of the emotion/stress measurement system. In terms of the acoustic signals, this work will enlist the appropriate features for the driving situation and correlate them to parameters/dimensions of the "extended ergonomics status" vector. Prosodic features as well as the phonetic features of the acoustic signal are taken into account for the emotion recognition here. In this paper, a linear discriminant analysis based on a classification method using the Hausdorff distance measure is proposed for classifying the different emotional states. Experimental evaluation based on the Berlin voice database shows that the proposed method results in 85% recognition accuracy in speaker-independent emotion recognition experiments. © 2010 Springer-Verlag Berlin Heidelberg.

关键词： Ergonomics

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