the proceedings contain 32 papers. the special focus in this conference is on Agent Systems, Information Integration, Middleware, Platforms, architectures and Federated Database Systems. the topics include: A database...
ISBN:
(纸本)3540425241
the proceedings contain 32 papers. the special focus in this conference is on Agent Systems, Information Integration, Middleware, Platforms, architectures and Federated Database Systems. the topics include: A database infrastructure for schema manipulation;the evolution of distributed component architectures;extending multi-agent cooperation by overhearing;local distributed agent matchmaking;deploying distributed state information in mobile agent systems;cooperative meeting scheduling among agents based on multiple negotiations;automated discovery of content for virtual databases;planning and optimizing semantic information requests using domain modeling and resource characteristics;integrating view schemata using an extended object definition language;a self-organizing access structure for p2p information systems;moving active functionality from centralized to open distributed heterogeneous environments;supporting heterogeneous users in collaborative virtual environments using AOP;a process service model for dynamic enterprise process interconnection;employing multiuser interactions in the development of synchronous applications;schema design and query processing in a federated multimedia database system;an approach to increase concurrency in multidatabase systems;checking integrity constraints in multidatabase systems with nested transactions;an architecture template for inter-enterprise information systems;coordinating web-based systems with documents in XMLspaces;validating an access cost model for wide area applications;on demand business-to-business integration;an accurate and scalable web-based recommendation system and the use of machine-generated ontologies in dynamic information seeking.
parallel relational databases have been successful in providing scalable performance for data intensive applications, and much work has been carried out on query processing techniques in such systems. However, althoug...
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Strategic decision making process uses a lot of GroupBy clauses and join operations queries. As the source of information in this type of application to these queries is commonly very huge, then parallelization of Gro...
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When employing fuzzy relational structures in the development of intelligent systems, a unified generic tool is needed to assist the designers, knowledge experts, and users in constructing the application9;s data d...
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When employing fuzzy relational structures in the development of intelligent systems, a unified generic tool is needed to assist the designers, knowledge experts, and users in constructing the application's data dictionary and relational structures for the observed environment being modeled. Such a tool must apply some form of "computing with words" to help users conceptualize the semantics of the fuzzy relations themselves. Everyday terms and those used in special environments form a natural means of conceptualizing the reasoning process of fuzzy analysis on fuzzy relations using words rather than numbers. the recognized words and terms allow the potential users of fuzzy systems the opportunity to step back and see the big-picture of a typical application's overall relational structures and compositions. A front-end English Query Language (EQL) tool is specified along withthe supporting grammar to view the emerging technologies employed in representing fuzzy relational structures and how the relational approach can be used for "computing with words" systems. therefore, the desired logical analysis can be expressed using natural language queries as opposed to the mathematical products forms of the multi-valued logics used. Such a tool enables future researchers to facilitate rapid construction of new applications of fuzzy relational systems with ease.
In order to fulfil real time signal processing tasks such as clutter rejection, moving target detection (MTD) and constant false alarm rate (CFAR) control in airborne radar, an airborne radar parallel signal processin...
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ISBN:
(纸本)0780370007
In order to fulfil real time signal processing tasks such as clutter rejection, moving target detection (MTD) and constant false alarm rate (CFAR) control in airborne radar, an airborne radar parallel signal processing system (ARPS2) is proposed with DSP chips as its kernel processing nodes. the DSP chips are used withparallel architecture. Each node has its private input and output memory. It adopts several parallel techniques, such as parallel storage, parallelprocessing, parallel code loading and parallel data organization to achieve high efficiency. It has a simple structure, excellent flexibility and easiness in developing. ARPS2 is going to be applied to an airborne radar. It can also be applied to perform high-speed real time signal processingalgorithms in other kinds of radar.
the study is concerned withthe fundamentals of granular computing. Granular computing, as the name itself stipulates, deals with representing information in the form of some aggregates (that embrace a number of indiv...
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the study is concerned withthe fundamentals of granular computing. Granular computing, as the name itself stipulates, deals with representing information in the form of some aggregates (that embrace a number of individual entities) and their ensuing processing. We elaborate on the rationale behind granular computing. Next, a number of formal frameworks of information granulation are discussed including several alternatives such as fuzzy sets, interval analysis, rough sets, and probability. the notion of granularity itself is defined and quantified. A design agenda of granular computing is formulated and the key design problems are raised. A number of granular architectures are also discussed with an objective of delineating the fundamental algorithmic, and conceptual challenges. It is shown that the use of information granules of different size (granularity) lends itself to general pyramid architectures of information processing. the role of encoding and decoding mechanisms visible in this setting is also discussed in detail, along with some particular solutions. We raise an issue of interoperability of granular environments. the intent of the paper is to elaborate on the fundamentals and put the entire area in a certain perspective while not moving into specific algorithmic details.
the authors show that the research on N-version high-reliability software structures can be extended to neural network architectures. In addition, we explore the possibility of applying this structure to a spacecraft ...
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the authors show that the research on N-version high-reliability software structures can be extended to neural network architectures. In addition, we explore the possibility of applying this structure to a spacecraft tracking problem. One such system is the Automated Spacecraft Monitoring System (ASMS), a beacon-monitoring or detection system. Four neural networks, each trained for various operating environments, are implemented in an N-version structure. the results of the networks are combined to form a composite outcome. the combined outcome is used as part of a hypothesis testing procedure to distinguish between the presence or absence of the beacon signal. the results show that any of a number of composite outcomes outperforms the use of any single neural network. Further, the simple average of network results provides the composite outcome with best performance.
In this paper, we proposed a flexible VLSI-based parallelprocessing architecture for an improved three-step search (ITSS) motion estimation algorithm that is superior to the existing three-step search (TSS) algorithm...
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In this paper, we proposed a flexible VLSI-based parallelprocessing architecture for an improved three-step search (ITSS) motion estimation algorithm that is superior to the existing three-step search (TSS) algorithm in all cases and also to the recently proposed new three-step search (NTSS) algorithm if used for low bit-rate video coding, as withthe H.261 standard. Based on a VLSI tree processor and an FPGA addressing circuit, the architecture can successfully implement the ITSS algorithm on silicon withthe minimum number of gates. Because of the flexibility of the architecture, it can also be extended to implement other three-step search algorithms.
To unify temperature distribution in a wafer during rapid thermal processing, we calculated the effect of the heating control conditions on the temperature distributions during heat-up and at steady state by using a p...
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To unify temperature distribution in a wafer during rapid thermal processing, we calculated the effect of the heating control conditions on the temperature distributions during heat-up and at steady state by using a program for analyzing three-dimensional radiative heat transfer. We calculated optimum monitoring positions on the wafer in order to minimize the temperature distribution in the wafer. the effect of the number of heating zones in an axisymmetric heating apparatus was also calculated. the minimum steady-state temperature distribution in the wafer at the optimum condition was calculated as /spl plusmn/0.1 K during 100 K/s heat-up and /spl plusmn/0.02 K at 1273 K steady state. We also developed two rapid computation techniques to find the optimum heating conditions: a parallel-computation technique to find the optimum conditions for the whole heating process; and a technique that uses a reduced number of calculation elements under the assumption of almost uniform temperature in the wafer. Computation time using the latter technique is reduced to 1/250 compared to that using conventional method.
Efficient use of data-reuse transformations combined with a custom memory hierarchy that exploits the temporal locality of data related memory accesses can have a significant impact on system power consumption, especi...
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Efficient use of data-reuse transformations combined with a custom memory hierarchy that exploits the temporal locality of data related memory accesses can have a significant impact on system power consumption, especially in data dominated applications e.g. multimedia processing. In this paper the effect of data-reuse decisions on power consumption, area and performance of multimedia applications implemented on uni- and dual-processor embedded cores is explored. By this work it is clarified that conclusions for the transformations effect on multi-processor architectures can be extracted by the corresponding effect on the uniprocessor architecture. In this way the exploration space can be significantly reduced. A motion estimation algorithm, namely the two-dimensional logarithmic search, and a discrete cosine transform (DCT) algorithm are used as demonstrator applications.
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