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Optimizing reservoir system operation has been a major area of study in water resources systems. Implicit stochastic optimization (ISO) is the most popular approach regarding that most stochastic aspects of the problem are implicitly included. Many mathematical programming techniques have been applied in ISO. Recent developments in the field of data mining techniques are shown their potential as an...
Web search engine is very a useful information retrieval tool on the Internet, but due to that a very large amount of information is retrieved from the search engine, and the search results are not classified and displayed out of order, it is difficult for the users to get accurate navigation information. This paper presents a new framework for web search engine, which is based on distributed semantic...
Our paper presents an explicit infinite-dimensional Luenberger type observer for a class of vibrating systems. Further numerical investigation is undertaken for the observer based on a rotating Euler elastic beam system, including the eigenvalue distribution of the error system and the robustness of the observer. By using the finite element method numerical simulations are carried out to illustrate...
Resource discovery is critical to the usability and accessibility of grid computing systems. Distributed hash table (DHT) has been applied to grid systems as a distributed mechanism for providing scalable range-query and multiattribute resource discovery. Multi-DHT-based approaches depend on multiple DHT networks with each network responsible for a single attribute. Single-DHT-based approaches keep...
We present a new network anomaly detection system using dissimilarity-based one-class support vector machine( DSVMC). we transform the raw data into a dissimilarity space using Dissimilarity Representations (DR). DR describe objects by their dissimilarities to a set of target class. DSVMC are constructed on these DR. We propose a framework of anomaly detection using DSVMC. A new strategy of prototype...
Roadside units can provide a variety of potential services for passing-by vehicles in future intelligent transportation systems. Since each vehicle has a limited time period when passing by a roadside unit, it is important to predict whether a service can be finished in time. In this paper, we focus on admission control problems, which are important especially when a roadside unit is in or close to...
Virtual machine (VM) technology provides an additional layer of abstraction for resource management in high-performance computing (HPC) systems. In large-scale computing clusters, component failures become norms instead of exceptions, caused by the ever-increasing system complexity. VM construction and reconfiguration is a potent tool for efficient online system maintenance and failure resilience...
In large-scale networked computing systems, component failures become norms instead of exceptions. Failure prediction is a crucial technique for self-managing resource burdens. Failure events in coalition systems exhibit strong correlations in time and space domain. In this paper, we develop a spherical covariance model with an adjustable timescale parameter to quantify the temporal correlation and...
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