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A Weighted Moving Average-based Approach for Cleaning Sensor Data

A Weighted Moving Average-based Approach for Cleaning Sensor...

引用

international conference on distributed computing Systems

作者： Yongzhen Zhuang Lei Chen X. Sean Wang Jie Lian Hong Kong University of Science and Technology Hong Kong University of Vermont Burlington Vermont USA University of Waterloo Waterloo Canada

Nowadays, wireless sensor networks have been widely used in many monitoring applications. Due to the low quality of sensors and random effects of the environments, however, it is well known that the collected sensor data are noisy. therefore, it is very critical to clean the sensor data before using them to answer queries or conduct data analysis. Popular data cleaning approaches, such as the moving average, cannot meet the requirements of both energy efficiency and quick response time in many sensor related applications. In this paper, we propose a hybrid sensor data cleaning approach with confidence. Specifically, we propose a smart weighted moving average (WMA) algorithm that collects confidence data from sensors and computes the weighted moving average. the rationale behind the WMA algorithm is to draw more samples for a particular value that is of great importance to the moving average, and provide higher confidence weight for this value, such that this important value can be quickly reflected in the moving average. Based on our extensive simulation results, we demonstrate that, compared to the simple moving average (SMA), our WMA approach can effectively clean data and offer quick response time.

关键词： Cleaning Working environment noise Sampling methods Energy efficiency Delay intelligent sensors Wireless sensor networks Monitoring Noise reduction Data analysis

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Utility Grid computing and Body Area Network as Enabler for Ubiquitous Rural e-Healthcare Service Provisioning

Utility Grid Computing and Body Area Network as Enabler for ...

引用

international conference on e-health Networking, Applications and Services (HealthCom)

作者： O.O. Olugbara M.O. Adigun S.O. Ojo P. Mudali Department of Computer Science University of Zululand KwaDlangezwa South Africa

Body area network (BAN) has the potential to revolutionalize healthcare management by allowing the use of innovative smart sensors for remote diagnosis, treatment and continuous monitoring of a patient's body conditions. However, there are many challenges such as low bandwidth, limited computational power and limited functionality for communication with wireless sensor networks. On the other hand, utility grid computing (UGC) is rich in functionality, can be used to provide access to appropriate computational services and can give high-bandwidth to a large collection of distributed time-varying resources. this paper describes an integrated UGC-BAN technology as an enabler for ubiquitous healthcare service provisioning. this would help addressing the challenges of accessibility to quality healthcare services and costs of provisioning to rural communities of developing countries.

关键词： Grid computing Body area networks Medical services Pervasive computing Body sensor networks Computer network management Innovation management intelligent sensors Medical treatment Patient monitoring

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the Ranking Peer for Hybrid Peer-to-Peer Real Time Video Streaming

The Ranking Peer for Hybrid Peer-to-Peer Real Time Video Str...

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international conference on Advanced Communication technology (ICACT)

作者： Ahmad Tajuddin Samsudin Nanna Suryana Herman Mat Kamil Awang Security Intelligent Application and Multimedia Program Research Division Telekom Research and Development Serdang Selangor Malaysia Faculty of Information Technology and Communication National Technical University College of Malaysia Ayer Keroh Malacca Japan

We present the design of a hybrid P2P system called BisinLUMS. In previous P2P systems, they are commonly recognized as a file sharing system that utilizes a download/upload mechanism to distribute content. In our P2P system, we introduce a streaming concept instead of download. However, unicast streaming requires a certain level of guaranteed quality to achieve good real-time playback. the heterogeneity of peer such as bandwidth, CPU power, packet loss rate, uptimes, memory and storage need to be considered. In this short paper, we address the distributed supervised peer, how to rank the peers, and surface preview on files delegation and active/standby peer. We believe that, selecting the best peer to serve a streaming session is vital in providing good quality video streaming.

关键词： Peer to peer computing Streaming media Network topology Unicast Bandwidth Watches Network servers Central Processing Unit Information technology Communication system security

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A Computational Framework for the Analysis of Biological Models

A Computational Framework for the Analysis of Biological Mod...

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Annual international conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Stefanos Konstantinos D. Petsios Dimitrios I. Fotiadis Unit of Medical Technology and Intelligent Information Systems Department of Computer Science University of Ioannina (UoI) Ioannina Greece

We present a computational framework for the visualization of large datasets produced from simulated multidimensional biological cell and tissue models. In this work we present a subsystem of a complete biological simulation system called BioPSiS (Biological Process Simulation System). the host system consists of special subsystems which monitor the simulation process and visualize its results. the mathematical computations in BioPSis can be performed either in a simple processing unit or in a distributed unit. the functionality of the subsystem presented here provides an interactive tool. In particular this intuitive visualization subsystem facilitates the analysis of the simulation results as well as the evaluation of the computational efficiency. Case studies and experiments demonstrate the efficacy of the proposed approach in terms of its ease to use, as well as its various features such as the capability to extract complex information from the output data for further study.

关键词： Biology computing Biological system modeling Computational modeling Visualization Biopsy Multidimensional systems Biological cells Biological tissues Biological processes Monitoring

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JadeEE: an Enterprise-class MAS Application Development Framework

JadeEE: an Enterprise-class MAS Application Development Fram...

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international conference on Computer Supported Cooperative Work in Design

作者： Chaozhen Guo Zhihong Lin College of Mathematics and Computer Science Department of Computer Science and Technology Fuzhou University Fuzhou Fujian China

ISBN: (纸本)1424409624

this paper analyzes the architectures of JADE and J2EE: J2EE advances in developing enterprise-class applications, but it doesn't support Agent-oriented programming. JADE is suitable as a MAS development framework, but it considers less in maintainability, expansibility and stability. According to these, this paper proposes a MAS model -JadeEE (Java agent development framework enterprise extension) -which is based on JADE and J2EE. this model is an enterprise-class MAS application development framework which advances in stability, easily expansibility and maintainability. It is suitable for large-scale MAS development, has the same advantages as J2EE and keeps enterprise-class MAS running at an acceptable speed. this framework has been used in the development of GDSS (group decision support system) for typhoon comprehensive forecast effectively.

关键词： Large-scale systems Computer architecture Stability Java Computer science intelligent agent Application software distributed computing Multiagent systems Runtime

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Measuring Network-Aware Worm Spreading Ability

Measuring Network-Aware Worm Spreading Ability

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IEEE Annual Joint conference: INFOCOM, IEEE Computer and Communications Societies

作者： Z. Chen C. Ji School of Electrical & Computer Engineering Georgia Institute of Technology Atlanta GA USA

this work investigates three aspects: (a) a network vulnerability as the non-uniform vulnerable-host distribution, (b) threats, i.e., intelligent worms that exploit such a vulnerability, and (c) defense, i.e., challenges for fighting the threats. We first study five data sets and observe consistent clustered vulnerable-host distributions. We then present a new metric, referred to as the non-uniformity factor, which quantifies the unevenness of a vulnerable-host distribution. this metric is essentially the Renyi information entropy and better characterizes the non-uniformity of a distribution than the Shannon entropy. We then analytically and empirically measure the infection rate and the propagation speed of network-aware worms. We show that a representative network-aware worm can increase the spreading speed by exactly or nearly a non-uniformity factor when compared to a random-scanning worm at the early stage of worm propagation. this implies that when a worm exploits an uneven vulnerable-host distribution as a network-wide vulnerability, the Internet can be infected much more rapidly. Furthermore, we analyze the effectiveness of defense strategies on the spread of network-aware worms. Our results demonstrate that counteracting network-aware worms is a significant challenge for the strategies that include host-based defense and IPv6.

关键词： Computer worms Internet Communications Society Electric variables measurement Computer networks distributed computing intelligent networks Information entropy Velocity measurement IP networks

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Learning and assessment using pervasive computing for web based engineering education

Learning and assessment using pervasive computing for web ba...

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7th international conference on Information technology Based Higher Education and Training

作者： Balasundaram, S. R. Ramadoss, B. Natl Inst Technol Dept Comp Applicat Tiruchirappalli India

ISBN: (纸本)9781424404056

the advances taking place in Information and Communication Technologies promise educators, administrators and learners to transform the education and training to be defined in ways previously unimaginable. Some of the notable innovations in this line are simulations, visualizations, intelligent tutors, distributed learning etc. Web Based Learning (WBL), one such new technological advancement applied to teaching and learning process, provides convenience and flexibility in the educational process comprising of various tools and techniques. Various models of WBL are practiced by universities and organizations with innovative technologies. Especially, the pervasive computing, the next generation computing, approach to WBL can provide enormous flexbilities to the educational system. Pervasive computing provides anywhere, anytime, any format for the dissemination and the management of information. In this paper, we focus on the significance of Pervasive computing for web based engineering education for learning both theory and laboratory subjects and also discuss suitable assessment techniques associated with the system.

关键词： web based learning pervasive computing engineering education assessment decision making

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Particle swarm approach to scheduling work-flow applications in distributed data-intensive computing environments

Particle swarm approach to scheduling work-flow applications...

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6th international conference on intelligent Systems Design and Applications (ISDA 2006)

作者： Liu, Hongbo Sun, Shichang Abraham, Ajith Dalian Maritime Univ Sch Comp Sci Dalian 116024 Peoples R China Dalian Univ Technol Dept Comp Sci Dalian 116023 Peoples R China Chung Ang Univ Sch Comp Sci & Engn Seoul 156756 South Korea

ISBN: (纸本)0769525288

the scheduling problem in distributed data-intensive computing environments has been an active research topic due to immense practical applications. In this paper, we model the scheduling problem for work-Flow applications in distributed Data-intensive computing environments (FDSP) and make an attempt to formulate and solve the problem using a particle swarm optimization approach. We illustrate the algorithm performance and trace its feasibility and effectiveness with the help of an example.

关键词： Problem solving

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A graph alorithm based approach to recovery and failover in tactical MANETs

A graph alorithm based approach to recovery and failover in ...

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7th ACIS international conference on Software Engineering, Artificial Intelligence, Networking, and Parallel and distributed computing/7th ACIS international Workshop on Self-Assembling Networks

作者： Watkins, Damian Scott, Craig Randle, Darryn Morgan State Univ KIMCOE Sch Engn 5200 Perring Pkwy Baltimore MD 21251 USA Smart Innovat Solut Columbia MD 21046 USA

ISBN: (纸本)076952611X

the objective of the attack recognition effort is to develop inference and correlation technologies that can detect complex multi-stage attacks in Mobile Adhoc Networks (MANET) environments where the reliance on centralized mechanisms or fixed relationships is unattainable. this work is supported by the Army Research Laboratory (ARL) Collaborative technology Alliance (CTA). Technical Area 4 encompasses tactical information protection involving attack recognition and event dissemination where attack recognition is the focus of this study. Previous work has shown the ability to recognize malicious activity using a variety of statistical or fuzzy inference techniques. this research focuses on the next course of action after an attack takes place. this paper reports on an ongoing research effort to add the capability of a network to recover from an attack. this capability is based on the use of modified algorithms traditionally found in graph theory by an intelligent agent based framework. the agent-based framework is a collection of cooperative agents capable of raw packet data collection, comparison of metadata to a knowledge base, and the production of a decision.

关键词： intelligent agents graph theory clique set algorithm cut set algorithm network security Mobile Adhoc Networks

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Data policy for intelligent systems

Data policy for intelligent systems

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INES 2006: 10th international conference on intelligent Engineering Systems 2006

作者： Welzer, Tatjana Hölbl, Marko Kamišalic, Aida Družovec, Marjan Brumen, Boštjan Jaakkola, Hannu University of Maribor Faculty of Electrical Engineering and Computer Science Smetanova 17 Si-2000 Maribor Slovenia Tampere University of Technology Pori Po Box 300 Fi-28101 Pori Finland

ISBN: (纸本)0780397088

Use of data in various areas and their electronic availability has put importance of data to higher level. In many cases data come from different sources, which are distributed across enterprise and are at different quality levels. Special attention needs to be paid to data upon which critical decisions are met especialy in/for intelligent systems. In the present paper we will focus on data policy for increasing the quality of data used and/or acquired in intelligent systems. © 2006 IEEE.

关键词： intelligent systems

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