In order to eliminate limitations of conventional modeling and dynamic prediction methods, multilayer dynamic forward networks are considered as the models of oil field systems, the prediction models and technology of...
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In order to eliminate limitations of conventional modeling and dynamic prediction methods, multilayer dynamic forward networks are considered as the models of oil field systems, the prediction models and technology of multilayer dynamic forward networks are studied. The deficiency of a recursive prediction error learning algorithm is analysed. An improvement scheme is given. So, the algorithm performance is improved. Thus the method of modeling and prediction for an oil field is renewed. During using the new scheme, excellent results have been obtained which proves that the new scheme is very effective.
The primary goal of the Multimedia Router (MMR) project is the design and implementation of a router optimized for multimedia applications. The router is targeted for use in cluster and LAN interconnection networks wh...
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The primary goal of the Multimedia Router (MMR) project is the design and implementation of a router optimized for multimedia applications. The router is targeted for use in cluster and LAN interconnection networks which offer different constraints and therefore differing router solutions than WANs. This paper describes and evaluates a switch scheduling algorithm based on a priority biasing scheme for dynamically updating the priorities of the connections established through the router. Unlike existing schemes that simply use the age of a flit as its priority, the novel feature of the proposed approach is that the priority is biased using the measured quality of service (QoS) values for the connection. Furthermore, the structure of the switch scheduling algorithm is motivated by opportunities for pipelined and concurrent operation so that scheduling decisions could be made at switching speeds. The performance of two of the many possible biasing functions is evaluated.
With the advance of hardware and software technology, modern phased array radars are now built with commercial off-the-shelf (COTS) components, and it opens up a new era in real-time resource scheduling of digital sig...
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With the advance of hardware and software technology, modern phased array radars are now built with commercial off-the-shelf (COTS) components, and it opens up a new era in real-time resource scheduling of digital signal processing. This paper targets the essential issues in building a component-oriented signal processor (SP), which is one of the two major modules in modern phased array radars. We propose a simple but effective task allocation policy and a real-time scheduling algorithm to address the design objectives of SPs. We are able to bound the number of processing units needed for a component-oriented SP in the design time, while everything was done empirically in the past. A series of experiments were done to demonstrate the strength of our methodology.
As IPC mechanisms become faster, stub-code efficiency becomes a performance issue for local client/server RPCs and inter-component communication. Inefficient and unnecessary complex marshalling code can almost double ...
As IPC mechanisms become faster, stub-code efficiency becomes a performance issue for local client/server RPCs and inter-component communication. Inefficient and unnecessary complex marshalling code can almost double communication costs. We have developed an experimental new IDL compiler that produces near-optimal stub code for gcc and the L4 microkernel. The current experimental IDL4 compiler cooperates with the gcc compiler and its x86 code generator. Other compilers or target machines would require different optimizations. In most cases, the generated stub code is approximately 3 times faster (and shorter) than the code generated by a commonly used portable IDL compiler. Benchmarks have shown that efficient stubs can increase application performance by more than 10 percent. The results are applied within IBM's SawMill project that aims at technology for constructing multi-server operating systems.
If we are stepping out of windows (of the GUI kind), what are we stepping into? We suggest it is into cooperative buildings. For the foreseeable future, at least, we can identify two major characteristics of the coope...
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If we are stepping out of windows (of the GUI kind), what are we stepping into? We suggest it is into cooperative buildings. For the foreseeable future, at least, we can identify two major characteristics of the cooperative building. The spaces of the building will be augmented in various ways, providing an ambient environment that bridges spatial discontinuities in workgroups and provides a continuous window into the state of the virtual world. Secondly, the ways in which the spaces themselves are used will evolve to be more congruent with the fluid, dynamic and distributed nature of the work taking place in the building. These two characteristics are deeply interconnected. This evolution need not happen entirely in the physical world; the essence of a cooperative building will become the way in which it mixes both physical and virtual affordances to support the workaday activities of its inhabitants.
The paper deals with the design and development f a coalition infrastructure. Generally, this infrastructure's nature is distributed, heterogeneous, and dynamic. Therefore, new advanced technologies are required. ...
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The paper deals with the design and development f a coalition infrastructure. Generally, this infrastructure's nature is distributed, heterogeneous, and dynamic. Therefore, new advanced technologies are required. MultiAgent Systems (MASs) seem to be a good candidate and a promising approach. For instance, MASs could provide an insight into what aspects of the coalition should be delegated, how these aspects should evolve, and what should be the effect of specific changes. This research is part of the IC2MAS project that takes advantages of several research domains, including software agents, mobility, and ontology.
The main goal of this paper is to present the structural and functional characteristics of software agent-oriented frameworks. Such a framework is an environment composed of a supervisor program and one or several tea...
This paper presents a technique for automatically computing stroke volume from 2-D color flow echocardiographic cineloops of the left ventricular outflow tract (LVOT). By utilizing the anatomical and blood velocity in...
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This paper presents a technique for automatically computing stroke volume from 2-D color flow echocardiographic cineloops of the left ventricular outflow tract (LVOT). By utilizing the anatomical and blood velocity information in the color flow image, the measurement technique eliminated many of the technical obstacles and assumptions in existing methods. This technique determines the blood flow vector, LVOT conduit border, and ejection period without human guidance, and the stroke volume is computed automatically. The resulting automated technique improves measurement accuracy and speed and only requires one data set (a color flow cineloop).
Endocardial border detection is a crucial step for the quantitative analysis of overall and regional left ventricular function from echocardiographic images. Echocardiographic contrast agents with transpulmonary passa...
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Endocardial border detection is a crucial step for the quantitative analysis of overall and regional left ventricular function from echocardiographic images. Echocardiographic contrast agents with transpulmonary passage are being used increasingly in clinical practice for left ventricular cavity opacification. We investigate the feasibility of using pulse coupled neural networks to identify the left ventricular endocardial border in contrast-enhanced echocardiographic cineloops.
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