Many large-scale scientific experiments and simulations generate very large amounts of data (on the order of terabytes to petabytes), spanning thousands of files and data sets. We have developed a software system, cal...
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Today’s scientific simulations often generate huge amounts of data for data archival, data analysis, and visualization. These data are stored in high-performance distributed storages that consist of a network-oriente...
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Various systems have explored the idea of inferring 3D models from sketched 2D outlines. In all of these systems the underlying modeling methodology limits the complexity of models that can be created interactively. T...
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When the organization of images in a database is well described with pre-defined semantic categories, it can be useful for category specific searching. In this work, we investigate a supervised learning approach to as...
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This paper demonstrates an approach to image retrieval by classifying images into different semantic categories and using probabilistic similarity measures. To reduce the semantic-gap based on low-level features, a re...
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Concurrent accesses to a file frequently occur in a distributed computing environment where a few number of network-attached servers are designated as a data storage pool and the clients are physically connected to th...
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The intricacy of real-time data service management increases mainly due to the emergence of applications operating in open and unpredictable environments, increases in software complexity, and need for performance gua...
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A lock mechanism is essential for synchronization on the multiprocessor systems. The conventional queuing lock has two bus traffics that are the initial and retry of the lock-read This paper proposes the new locking p...
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Non-learning problem solvers have been applied to many interesting and complex domains. Experience-based learning techniques have been developed to augment the capabilities of certain non-learning problem solvers in o...
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