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Understanding Events Relationally and Temporally Related: Context Assessment Strategies for a Smart Home (Invited Paper)

Understanding Events Relationally and Temporally Related: Co...

引用

International Symposium on Universal communication, ISUC

作者： Fulvio Mastrogiovanni Antonio Sgorbissa Renato Zaccaria Department of Communication Computer and System Sciences (DIST) Faculty of Engineering University of Genova Genoa Italy

This paper elaborates on context assessment strategies for smart homes and, in a broader perspective, for context-aware cognitive systems. The proposed framework, which is inspired by a cognitive theory called functionalism, is aimed at integrating ontology and logic approaches to context modeling. Two are the assumptions underlying the model: (i) the availability of an ontology (i.e., a "context-role" representation of what exists in a given domain); (ii) a simple inference schema (i.e., subsumption between concepts). The context model is formally defined adopting a structural approach, which describes contexts and situations as recursive structures grounded with respect to the ontology. Examples are presented to discuss the proposed model.

关键词： Smart homes Context modeling Ontologies Logic Humans Ambient intelligence Intelligent vehicles Context awareness Home computing Intelligent systems

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Optimal version-upgrade problem based on stochastic differential equations for Open Source Software

Optimal version-upgrade problem based on stochastic differen...

引用

5th International Conference on Quality and Reliability, ICQR 2007

作者： Tamura, Yoshinobu Yamada, Shigeru Department of Computer Science Faculty of Applied Information Science Hiroshima Institute ot Technoloey Miyake 2-1-1 Saeki-ku Hiroshima-shi. 731-5193 Japan Department of Social System Engineering Faculty of Engineering Tottori University Minami 4-101 Koyama Tottori-shi 680-8552 Japan

ISBN: (纸本)9789810594046

The current software development environment has been changing into new development paradigms such as concurrent distributed development environment and the so-called open source project by using network computing technologies. New distributed development paradigm typified by such open source project will evolve at a rapid pace in the future. Especially, OSS (Open Source Software) systems which serve as key components of critical infrastructures in the society are still ever-expanding now. We focus on OSS developed under open source project. In this paper, we propose a software reliability growth model based on stochastic differential equations in order to consider the active state of the open source project. Especially, we assume that the software failure intensity depends on the time, and the software fault-report phenomena on the bug tracking system keep an irregular state. Also, we analyze actual software fault count data to show numerical examples of software reliability assessment for the OSS. Moreover, it has been necessary to manage the software development process in terms of reliability, effort, and version-upgrade time. In this paper, we find the optimal total version-upgrade time based on the total expected software maintenance effort. We show that the proposed model can assist improvement of quality for OSS systems developed under the open source project. © 2008 ICQR.

关键词： Open source software

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A FAST ALGORITHM FOR MEASURING VEHICLE TRAFFIC PARAMETERS

A FAST ALGORITHM FOR MEASURING VEHICLE TRAFFIC PARAMETERS

引用

2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

作者： YU-HUA LEE YU-TAI LEE Departinent of Computer Science and Information Engineering Ching Yuu University Institute of Computer Communication and System Engineering Ching Yun University Department of Mec

In this paper, we propose a algorithm which can extract traffic information from the images automatically. The main purpose lies in utilizing existing traffic photography equipment, cooperating with this system to get vehicle numbers and vehicle speed information. During the process of extracting traffic information, we utilize the traffic image sequence input from camera. By analyzing the pixels' difference between consecutive Image frames, we can get the moving object's characteristics and count the quantity of the passing vehicles.

关键词： computer vision intelligent transportation system ITS image processing

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A fuzzy particle swarm approach to multiobjective quadratic assignment problems

A fuzzy particle swarm approach to multiobjective quadratic ...

引用

2nd Asia International Conference on Modelling and Simulation, AMS 2008

作者： Zhao, Mingyan Abraham, Ajith Grosan, Crina Liu, Hongbo School of Software Dalian University of Technology 116620 Dalian China Centre for Quantifiable Quality of Service in Communication Systems Norwegian University of Science and Technology Trondheim Norway Department of Computer Science Faculty of Mathematics and Computer Science Babes-Bolyai University Cluj-Napoca Romania School of Computer Science and Engineering Dalian Maritime University 116026 Dalian China

ISBN: (纸本)9780769531366

The multiobjective Quadratic Assignment Problem (mQAP) is considered as one of the hardest optimization problems but with many real-world applications. Since it may not be possible to simply weight the importance of each flow for the mQAP, it is best to use Pareto optimization to obtain the Pareto front or an approximation of it. Although Particle Swarm Optimization (PSO) algorithm has exhibited good performance across a wide range of application problems, research on mQAP has not much been investigated. This paper introduces a fuzzy particle swarm algorithm to handle the Multiobjective Quadratic Assignment Problem (mQAP)- In the fuzzy scheme, the representations of the position and velocity of the particles in the conventional PSO is extended from the real vectors to fuzzy matrices. A new mapping is introduced between the particles in the swarm and the problem space in an efficient way. We evaluated the performance of the proposed approach. Empirical results illustrate that the approach can be applied for solving mQAP's very effectively. © 2008 IEEE.

关键词： Pareto principle

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A New Approach for Open Shortest Path Weight Setting Problem (OSPFWSP)

A New Approach for Open Shortest Path Weight Setting Problem...

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International Conference on Convergence Information Technology

作者： Ahmed Abo Ghazala Ayman El-Sayed Mervat Mosa Communication Department National Bank of Egypt Cairo Egypt Computer Science and Engineering Department Faculty of Electronic Engineering Menouf Egypt

Routing protocol is the nervous system to any network. It directs data to it's destinations, OSPF is the famous intera-domain routing protocol at all over the world, OSPF calculates routes as follow. Each link is assigned weights by operator. Each node in the autonomous system computes shortest paths and creates destination tables used to route data to next node on the path to its destination it direct data according to variable parameter named weights (cost), quality of routing depends on the setting of these parameters, OSPF routing is NP hard problem [1], OSPF weights setting problem is to find a set of OSPF weights that optimizes network performance. Although a lot of trials have been made for open shortest path setting problem (OSPFWSP), no optimal setting is found. At this paper a new algorithm is developed to solve OSPFWSP, also comparison between the new algorithm and the legacy methods is done.

关键词： Cost function Routing protocols Telecommunication traffic Genetic algorithms Simulated annealing Information technology computer science Nervous system computer networks NP-hard problem

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Optimization of Ground Penetrating Radar (GPR) Mixture Model in Road Pavement Density Data Analysis

Optimization of Ground Penetrating Radar (GPR) Mixture Model...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Helmi Zulhaidi Mohd Shafri RSA Raja Abdullah Mardeni Roslee Ratnasamy Muniandy Department of Civil Engineering Universiti Putra Malaysia Serdang Malaysia Department of Computer and Communication System Faculty of Engineering Universiti Putra Malaysia Serdang Malaysia

This paper presents an optimization of GPR mixture model based on the measurements and simulation results at frequency range of 1.7-2.6 GHz. The purpose is to get a most accurate relationship between attenuation and density for various road pavements densities. The proposed method is simple, fast, nondestructive and accurate way to determine the density of road pavement. Density is a one of the important parameter in order to determine the compressive strength of road pavement. In laboratory, a few of received signal strength and measured attenuation for nine road pavement slab samples were taken at four different frequencies. The GPR mixture model has been used to produce the predicted attenuation due to the pavement density. The calculation and selection of mixture model has been discussed thoroughly and only the best performance of GPR mixture model was selected for optimization.

关键词： Ground penetrating radar Data analysis Density measurement Electromagnetic measurements Space technology Power measurement Frequency measurement Attenuation measurement Road safety Permittivity

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Network Layer Performance in Peer-to-Peer File Sharing systems

Network Layer Performance in Peer-to-Peer File Sharing Syste...

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Conference on Next Generation Internet Networks, NGI

作者： Raffaele Bolla Roberto Bruschi Michele Sciuto Krys Pawlikowski Department of Communication Computer and System Sciences University of Genoa Italy Department of Computer Science and Software Engineering University of Canterbury New Zealand

Nowadays P2P applications dominate many networks. However, despite of their diffusion, the analysis of tele- traffic generated by these applications in real-time environment remains an open issue. In this paper we look at analytical and simulation models, which can be used for quantifying volumes of P2P teletraffic at the network layer, to ease still existing difficulties associated with monitoring such teletraffic. We present an event-driven simulator, able to simulate P2P teletraffic both at the application and network layers in large overlay networks (we have successfully tested it in networks used by up to 500,000 peers). The simulation model was developed for studying the impact that P2P systems have on the network layer performance. We studied also the application layer dynamics by looking at time evolution of file-downloading processes and at the offered load generated in such networks. We report the results of several simulation scenarios, in which we focused on the consequences such teletraffic has on the Internet access link of an enterprise network.

关键词： Peer to peer computing Telecommunication traffic Traffic control Testing Discrete event simulation Analytical models IP networks Application software Protocols computer networks

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Comparative Evaluation of Change Propagation Approaches towards Resilient Software Evolution

Comparative Evaluation of Change Propagation Approaches towa...

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International Conference on Software engineering Advances (ICSEA)

作者： Noraini Ibrahim Wan M. Nasir Wan Kadir Safaai Deris Software Engineering Department Faculty of Computer Science and Information System Universiti Teknologi Malaysia Malaysia

Producing software that is adaptable to the rapid environmental changes and the dynamic nature of the business life-cycle is extensively becoming a topical issue in the software evolution. In this context, change propagation (CP) process is one of the critical parts in the software change management. Traditional strategies have projected more complex ways, resulting to substantial failures and risks. This paper presents an investigation and highlights on the desired criteria to provide better means to simplify the complicated CP tasks. The evaluation results may be used as a foundation in improving CP approaches that provide significant challenges in software evolution.

关键词： Software engineering Software systems Software maintenance computer science Information systems Programming Large-scale systems Delay Scheduling Costs

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Industrial Application Development with Open Source Approach

Industrial Application Development with Open Source Approach

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International Conference on Software engineering Advances (ICSEA)

作者： Showole Aminat Suhaimi Ibrahim Shamsul Sahibuddin Faculty of Computer Science and Information System Software Engineering Department Universiti Teknologi Malaysia Malaysia

Much as software is very useful as a driving force of physical machine in assisting many aspects of human endeavor, it is also often accomplished with delicate aspect especially when correct specification and quality are not met. Ranging from less critical applications (such as payroll), to highly sophisticated application (such as health care system) as well as mission critical applications (such as space mission), failures in the functionality of these systems are often accompanied by disproportionate heavy losses to the respective users. In addition, industrial application is performance-intensive and cannot afford to fail. In this paper, our novel open onions ontology was presented which approaches software development from a layered point of view, the open source approach as an alternative methodology for industrial application development was proposed. Various issues involved in industrial applications were reviewed, the current industrial development methodologies were discussed and possibilities of adopting open source were explored.

关键词： Application software Open source software Software quality Humans Medical services Mission critical systems Space missions Ontologies Programming computer industry

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Medical image segmentation using fuzzy c-mean (FCM), Bayesian method and user interaction

Medical image segmentation using fuzzy c-mean (FCM), Bayesia...

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International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR)

作者： Mohammad Ali Balafar Abd.Rahman Ramli M.Iqbal Saripan Syamsiah Mashohor Department of Computer & Communication System Faculty of Engineering UPM Universiti Putra Malaysia Serdang Selangor Darul Ehsan Malaysia

Image segmentation is one of the most important parts of clinical diagnostic tools. Medical images mostly contain noise and in homogeneity. Therefore, accurate segmentation of medical images is a very difficult task. However, the process of accurate segmentation of these images is very important and crucial for a correct diagnosis by clinical tools. In this paper a new method is proposed which is robust against in-homogeneousness and noisiness of images. The user selects training data for each target class. Noise is reduced in image using Stationary wavelet Transform (SWT) then FCM clusters input image to the n clusters where n is the number of target classes. User selects some of the clusters to be partitioned again. FCM clusters each user selected cluster to two sub clusters. This process continues until user to be satisfied. Each cluster is considered as a sub-class. Posterior probability of data to each sub class is calculated using data in those sub-classes. Probability density of each target class at sub classes is calculated using training data. Probability of data to each target class is calculated using probability density of each subclass at input data and probability of each subclass to each target class. At last, the image is clustered using probability of data to each target class. Segmentation of several simulated and real images are demonstrated to show the effectiveness of the new method.

关键词： Probability Image segmentation Training data Biomedical imaging Medical diagnostic imaging Noise Probability density function

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