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Canadian Conference on Electrical and computer engineering (CCECE)

作者： Anil Kumar Venkataiahgari J. William Atwood Mourad Debbabi Department of Computer Scienceand Software Engineering Concordia University Montreal Canada Concordia Institute forInformation Systems Engineering Concordia University Montreal Canada

Services such as audio/video streaming, advertising, and software distribution can be delivered much more efficiently by network service providers if multicast data distribution is used. However, accounting for the resources consumed by subscribers becomes essential. Using an e-commerce (payment recovery) operational environment, in turn, requires support for security properties such as authentication, authorization, data confidentiality, and non-repudiation. However, multicast data distribution is inherently more susceptible to attack than unicast distribution, given its greater susceptibility to interception of the network traffic. Securing multicast sessions in B2C commerce requires authentication of the end-host, authorization of the subscriber and his e-payments, and accounting for a subscriber's consumed resources. In this paper, we present a comprehensive survey of the literature on e-payment platforms and protocols that provide some form of security to e-commerce transactions, followed by a comparative study of these e-payment platforms and protocols. We show the security problems that are currently unaddressed by the existing multicast protocols and e-payment platforms and protocols, in securing the operating environment of B2C commerce for multicast networks

关键词： Business Multicast protocols Data security Authentication computer science software engineering Authorization Telecommunication traffic Information security Streaming media

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Service System Resource Management Based on a Tracked Layered Performance Model

Service System Resource Management Based on a Tracked Layere...

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International Conference on Autonomic Computing (ICAC)

作者： M. Woodside Tao Zheng M. Litoiu Department of Systems and Computer Engineering Carleton University Ottawa Canada Centrefor Advanced Studies IBM Toronto Software Laboratory Canada

Autonomic computer systems adapt themselves to cope with changes in the operating conditions and to meet the service-level agreements with a minimum of resources. Changes in operating conditions include hardware and software failures, load variation and variations in user interaction with the system. The self adaptation can be achieved by tuning the software, balancing the load or through hardware provisioning. This paper investigates a feed-forward adaptation scheme in which tuning and provisioning decisions are based on a dynamic predictive performance model of the system and the software. The model consists of a layered queuing network whose parameters are tuned by tracking the system with an Extended Kalman Filter. An optimization algorithm searches the system configuration space by using the predictive performance model to evaluate every configuration.

关键词： Resource management Predictive models Feedforward systems Hardware Quality of service software performance software systems Feedback control Web server Yarn

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Closed Multidimensional Sequential Pattern Mining

Closed Multidimensional Sequential Pattern Mining

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International Conference on Information Technology: New Generations (ITNG)

作者： P. Songram V. Boonjing S. Intakosum Software Systems Engineering Laboratory Department of Mathematics and Computer Science King Mongkut''s Institute of Technology Ladkrabang Bangkok Thailand

We propose a new method, called closed multidimensional sequential pattern mining, for mining multidimensional sequential patterns. The new method is an integration of closed sequential pattern mining and closed itemset pattern mining. Based on this method, we show that (1) the number of complete closed multidimensional sequential patterns is not larger than the number of complete multidimensional sequential patterns (2) the set of complete closed multidimensional sequential patterns covers the complete resulting set of multidimensional sequential patterns. In addition, mining using closed itemset pattern mining on multidimensional information would mine only multidimensional information associated with mined closed sequential patterns, and mining using closed sequential pattern mining on sequences would mine only sequences associated with mined closed itemset patterns

关键词： Multidimensional systems Data mining Itemsets Databases software systems systems engineering and theory Laboratories Mathematics computer science Printers

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Architectural design issues for evolving systems

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WSEAS Transactions on systems 2006年第4期5卷 691-698页

作者： Vora, Urjaswala Sarda, N.L. Software Engineering and Operating Systems Department C-DAC Juhu Mumbai-400 049 India Department of Computer Science and Engineering Indian Institute of Technology Bombay Powai Mumbai-400 076 India

The change in the software systems is inevitable if the system is to remain useful. The change in business requirements sometimes is such that the old and new requirements have to be met simultaneously, i.e. old and new business rules are needed to exist concurrently. Accommodating more than one rule in the existing entities, leads to the change in the operational system, which involves risk. The evolution in the system impacts the business rules as well as the data model of the system. The evolution step incorporating the change in business rule requires changes to be carried out in the application architecture in terms of addition or modification of process as well as data components and also the alterations in the relationships among the components. The evolution problem of coexistence of business rules can be considered as incremental change to the existing architectural design of the system to nullify the risk of change to the software. In this paper we propose the framework, where temporal aspects of process as well as data components and concurrent validity of multiple business rules, with multiple versions of the components can be effectively implemented. The framework supports evolution without disturbing existing architecture and functionality. This framework is consistent in application to systems irrespective of the design methodology followed for the same.

关键词： computer software maintenance

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Self-stabilizing deterministic time division multiple access for sensor networks

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Journal of Aerospace Computing, Information and Communication 2006年第8期3卷 403-419页

作者： Arumugam, Mahesh Kulkarni, Sandeep S. Michigan State University East Lansing MI 48824 Software Engineering and Network Systems Laboratory Department of Computer Science and Engineering Michigan State University East Lansing MI 48824

An algorithm for time division multiple access (TDMA) is found to be applicable in converting existing distributed algorithms into a model that is consistent with sensor networks. Such a TDMA service needs to be self-stabilizing so that in the event of corruption of assigned slots and clock drift, it recovers to states from where TDMA slots are consistent. Previous self-stabilizing solutions for TDMA are either randomized or assume that the topology is known upfront and cannot change. Thus, the question of feasibility of self-stabilizing deterministic TDMA algorithm where the topology is unknown remains open. In this paper, we present a self-stabilizing deterministic algorithm for TDMA in networks where a sensor is only aware of its neighbors. To our knowledge, this is the first such algorithm that achieves these properties. Moreover, this is the first algorithm that demonstrates the feasibility of stabilization-preserving deterministic transformation of a program in shared-memory model on an arbitrary topology into a program that is consistent with the sensor network model. © 2006 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.

关键词： Time division multiple access

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Disturbance Torque and Motion State Estimation Using Low Resolution Position Interfaces

Disturbance Torque and Motion State Estimation Using Low Res...

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Conference Record of the IEEE Industry Applications Society Annual Meeting (IAS)

作者： Tod R. Tesch Robert D. Lorenz Controls & Software Development Ballard Power Systems Dearborn MI USA Department of Mechanical Engineering and Department of Electrical & Computer Engineering University of Wisconsin Madison WI USA

This paper assesses and analyzes a harmonic vector modeling method for reducing disturbance torque and motion state estimation error using quantized input measurements of position. There is a finite resolution available for any digital interface and quantization will always be present in some form. Although not possible to completely reconstruct a quantized measured state, it is possible to attenuate deterministic quantization characteristics. The discussed method models quantized position feedback as a spatially rotating vector consisting of fundamental and harmonic components. The error mitigation strategy involves decoupling these spatial quantization harmonics from the actual fundamental position, using heterodyning tracking observer topologies

关键词： State estimation Quantization Harmonic analysis Motion analysis Motion measurement Position measurement Torque measurement Spatial resolution Attenuation measurement Feedback

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Requirements for Evaluating Architectural Stability

Requirements for Evaluating Architectural Stability

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ACS/IEEE International Conference on computer systems and Applications

作者： R. Bahsoon W. Emmerich London Software Systems Department of Computer Science University College London London UK School of Engineering and Applied Sciences Department of Computer Science Aston University Birmingham UK

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Optimal evolutionary computational parameters for habitat structures optimization

Optimal evolutionary computational parameters for habitat st...

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Earth and Space 2006 - 10th Biennial International Conference on engineering, Construction, and Operations in Challenging Environments

作者： Hull, Patrick V. Sansoucie, Michael Dozier, Gerry Tinker, Mike NASA Marshall Space Flight Center Spacecraft and Vehicle Systems Dept./EV11 Huntsville AL 35812 United States Applied Computational Intelligence Lab. Department of Computer Science Amd Software Engineering Auburn University Auburn AL 36849-5347

ISBN: (纸本)0784408300

Long-duration surface missions to the Moon and Mars will require bases to accommodate habitats for the astronauts, as well as indoor laboratory facilities, in-situ resource plants, power plants, and scientific/surface mobility equipment. Transporting the materials and equipment required to build the necessary habitats would be costly and difficult. However, the use of planetary resources to produce construction materials, or even as naturally found (such as lunar regolith utilized as an outer layer for radiation shielding, or regolith in bags as wall structure), could drastically reduce the upmass for habitats. The materials chosen for the habitat walls play a direct role in protection against each of the mentioned hazards. Choosing the best materials, their configuration, and the amount required is extremely difficult due to the immense size of the design region. For example a 3-layer habitat wall created from 20 possible materials all with varying thicknesses would have #number of layers(possible material types)∧(possible thicknesses) = 320∧inf possible solutions. Clearly, an optimization method is warranted for habitat wall design. Standard optimization techniques are not suitable for problems with such large search spaces. To overcome the large search regions, a habitat wall design tool using genetic algorithms has been developed. GAs use a "survival of the fittest" philosophy, where the most fit individuals are more likely to survive and reproduce, therefore transmitting their genes to the next generation. This paper focuses on finding optimal GA parameters for the habitat optimization tool. This tool is a multiobjective formulation of structural analysis, heat loss, radiation, and meteoroid protection. Some of the constraint calculations (i.e. safety factor, deflection, and heat loss) require long computation times. Even though each material has a designated thickness range, the number of different values within that range is near infinite;therefore, the searc

关键词： Lunar missions

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Boosting for Learning Multiple Classes with Imbalanced Class Distribution

Boosting for Learning Multiple Classes with Imbalanced Class...

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IEEE International Conference on Data Mining (ICDM)

作者： Yanmin Sun Mohamed S. Kamel Yang Wang Department of Electrical and Computer Engineering University of Waterloo Waterloo ONT Canada Pattern Discovery Software Systems Limited Waterloo ONT Canada

Classification of data with imbalanced class distribution has posed a significant drawback of the performance attainable by most standard classifier learning algorithms, which assume a relatively balanced class distribution and equal misclassification costs. This learning difficulty attracts a lot of research interests. Most efforts concentrate on bi-class problems. However, bi-class is not the only scenario where the class imbalance problem prevails. Reported solutions for bi-class applications are not applicable to multi-class problems. In this paper, we develop a cost-sensitive boosting algorithm to improve the classification performance of imbalanced data involving multiple classes. One barrier of applying the cost-sensitive boosting algorithm to the imbalanced data is that the cost matrix is often unavailable for a problem domain. To solve this problem, we apply Genetic Algorithm to search the optimum cost setup of each class. Empirical tests show that the proposed cost-sensitive boosting algorithm improves the classification performances of imbalanced data sets significantly.

关键词： Boosting Iterative algorithms Data mining Cost function Testing Classification algorithms Sun software systems Drives software standards

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Exploiting Data Mining Techniques for Improving the Efficiency of a Supply Chain Management Agent

Exploiting Data Mining Techniques for Improving the Efficien...

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Web Intelligence and Intelligent Agent Technology Workshops (WI-IAT)

作者： Andreas L. Symeonidis Vivia Nikolaidou Pericles A. Mitkas Intelligent Systems and Software Engineering Laboratory Informatics and Telematics Institute CERTH Thessaloniki Greece Electrical and Computer Engineering Department Aristotle University of Thessaloniki Thessaloniki Greece

Supply chain management (SCM) environments are often dynamic markets providing a plethora of information, either complete or incomplete. It is, therefore, evident that such environments demand intelligent solutions, which can perceive variations and act in order to achieve maximum revenue. To do so, they must also provide some sophisticated mechanism for exploiting the full potential of the environments they inhabit. Advancing on the way autonomous solutions usually deal with the SCM process, we have built a robust and highly-adaptable mechanism for efficiently dealing with all SCM facets, while at the same time incorporating a module that exploits data mining technology in order to forecast the price of the winning bid in a given order and, thus, adjust its bidding strategy. The paper presents our agent, Mertacor, and focuses on the forecasting mechanism it incorporates, aiming to optimal agent efficiency

关键词： Data mining Supply chain management Intelligent agent Delta modulation Supply chains Robustness Manufacturing Assembly Data engineering Intelligent systems

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