Information is one of the most valuable resources in today's society, therefore the process of information seeking in electronic environments is one of the most crucial processes that can help a citizen to achieve...
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ISBN:
(纸本)9806560612
Information is one of the most valuable resources in today's society, therefore the process of information seeking in electronic environments is one of the most crucial processes that can help a citizen to achieve a better quality of life. However, access to information in electronic forms is so far difficult for blind people, but new publicly available electronic environments, particularly the World Wide Web (WWW), provide great potential to overcome the difficulties that blind people have in accessing information. In this paper, we present BrowserTree, a specialised voice web browser that we have designed and developed for blind users of the WWW. BrowserTree offers to an unsighted user all the facilities (e.g. make bookmarks, follow links) that a sighted user has using a "normal" web browser. BrowserTree's main difference in comparison to other specialised voice web browsers is our effort to provide a "reading mode" which allows an unsighted user to browse a large WWW document at a "concept" level utilising existing structure of a web page. Using this reading mode the user can acquire quicker a better outlook-overview of the web page under examination.
Traditional models of regenerative machine tool chatter use constant time delays assuming that the period between two sub-sequent cuts is a constant determined definitely by the spindle speed. These models result in d...
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As microarchitectural and system complexity grows, comprehending system behavior becomes increasingly difficult, and often requires obtaining and sifting through voluminous event traces or coordinating results from mu...
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ISBN:
(纸本)1595930183
As microarchitectural and system complexity grows, comprehending system behavior becomes increasingly difficult, and often requires obtaining and sifting through voluminous event traces or coordinating results from multiple, non-localized sources. Owl is a proposed framework that overcomes limitations faced by traditional performance counters and monitoring facilities in dealing with such complexity by pervasively deploying programmable monitoring elements throughout a system. The design exploits reconfigurable or programmable logic to realize hardware monitors located at event sources, such as memory buses. These monitors run and writeback results autonomously with respect to the CPU, mitigating the system impact of interrupt-driven monitoring or the need to communicate irrelevant events to higher levels of the system. The monitors are designed to snoop any kind of system transaction, e.g., within the core, on a bus, across the wire, or within I/O devices. Copyright 2005 ACM.
In this paper we describe a rate-based OBS network architecture in which core switch nodes send explicit messages to edge nodes requesting them to reduce their transmission rate on congested links. Within this framewo...
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ISBN:
(纸本)0780394143
In this paper we describe a rate-based OBS network architecture in which core switch nodes send explicit messages to edge nodes requesting them to reduce their transmission rate on congested links. Within this framework, we introduce a new contention avoidance mechanism called proportional control algorithm with explicit reduction request (PCwER). Through source rate control, PCwER proactively attempts to prevent the network from entering the congestion state. Basic building blocks and performance trade-offs of PCwER are the main focus of this paper. In addition, through a simple fluid model we analyze the characteristics of the algorithm. Our simulation results show that the proposed contention avoidance techniques improve the network utilization and reduce the packet loss probability.
We demonstrate that the Qbox code supports unprecedented large-scale First-Principles Molecular Dynamics (FPMD) applications on the BlueGene/L supercomputer. Qbox is an FPMD implementation specifically designed for la...
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In this paper, basic principles are presented and an algorithm for extracting document content summary for Greek language, by using statistic method. The algorithm presented is based on grammatical rules and semantic ...
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In this paper, basic principles are presented and an algorithm for extracting document content summary for Greek language, by using statistic method. The algorithm presented is based on grammatical rules and semantic information dedicated for Greek language. The algorithm has been tested on a variety of news articles and produces satisfactory results for a variety of thematic subjects. Apart from the algorithm, a test case is presented to validate its performance
Efficient methods for generating pseudorandomly distributed unitary operators are needed for the practical application of Haar-distributed random operators in quantum communication and noise estimation protocols. We d...
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Efficient methods for generating pseudorandomly distributed unitary operators are needed for the practical application of Haar-distributed random operators in quantum communication and noise estimation protocols. We develop a theoretical framework for analyzing pseudorandom ensembles generated through a random circuit composition. We prove that the measure over random circuits converges exponentially (with increasing circuit length) to the uniform (Haar) measure on the unitary group, though the rate for uniform convergence must decrease exponentially with the number of qubits. We describe how the rate of convergence for test functions associated with specific randomization tasks leads to weaker convergence conditions that may allow efficient random circuit constructions.
Analysis of how to extract medical diagnosis rules from medical cases. Based on the rough set theory, a way of acquiring knowledge is introduced. Using this theory, we analyze the data, propose some possible rules and...
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Analysis of how to extract medical diagnosis rules from medical cases. Based on the rough set theory, a way of acquiring knowledge is introduced. Using this theory, we analyze the data, propose some possible rules and reveal an optimized probability formula. The steps of implementation, which includes the continual information discretization system, information reduction system, decision acquirement rules, decision model generation, etc., are explained through case study. In the end, the whole process of knowledge acquirement is discussed, which can effectively solve the choke point problem of acquiring knowledge in the expert system. At the same time, it also provides a new way to solve the application of artificial intelligence technology in the field of medicinal diagnosis.
Attribute reduction is often used in simplifying decision table in rough set, but as far as a specific rule is concerned attribute value reduction. In this paper, through analyzing the nature of reduction, we have obt...
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Attribute reduction is often used in simplifying decision table in rough set, but as far as a specific rule is concerned attribute value reduction. In this paper, through analyzing the nature of reduction, we have obtained a simplified algorithm. Moreover, we can verify the validity by some tests.
The failure probability of a system can be expressed as an integral of the joint probability density function within the failure domain defined by the limit state functions of the system. Generally, it is very difficu...
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The failure probability of a system can be expressed as an integral of the joint probability density function within the failure domain defined by the limit state functions of the system. Generally, it is very difficult to solve this integral directly. The evaluation of system reliability has been the active research area. Some methods were developed to solve system reliability analysis, such as Monte Carlo method, importance sampling method, bounding techniques and probability network evaluation technique (PNET). This paper presents the implementation of several optimization algorithms, modified method of feasible direction (MFD), sequential linear programming (SLP) and sequential quadratic programming (SQP), in order to demonstrate the convergence abilities and robust nature of the optimization technique when applied to series system reliability analysis. Examples taken from the published references were calculated and the results were compared with the answers of various other methods and the exact solution. Results indicate the optimization technique has a wide range of application with good convergence ability and robustness, and handle problems under generalized conditions or cases.
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