Rules play an increasingly important role in a variety of Semantic Web applications as well as in traditional IT systems. As a universal medium for publishing information, the Web is envisioned to become the place for...
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The temporal characteristics of human inductive strength judgment process have not been previously investigated, although some preliminary spatial localization results have been reported. In the present study, some Ch...
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The temporal characteristics of human inductive strength judgment process have not been previously investigated, although some preliminary spatial localization results have been reported. In the present study, some Chinese verbal inductive reasoning tasks are used in ERP (event related potentials) experiments to explore the time course of inductive strength judgment. The experimental results confirm our expectation. Inductive strength judgment after the presentation of a conclusion mainly contains three stages: visual encoding, semantic information integration, and strength evaluation. It can be tentatively concluded that visual encoding may be observed at the frontal P200 and the posterior N200, and the frontal LNC and the posterior LPC may reflect semantic information integration, and the slow waves after about 650ms may relate to strength evaluation process.
This paper treats the output feedback H 2 control with H ∞ norm constraint (mixed H 2 /H ∞ control problem). In general, this problem is a BMI problem which is difficult to be solved theoretically. The purpose of...
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This paper treats the output feedback H 2 control with H ∞ norm constraint (mixed H 2 /H ∞ control problem). In general, this problem is a BMI problem which is difficult to be solved theoretically. The purpose of this paper is to propose an iterative method for obtaining a sub-optimal solution of the mixed H 2 /H ∞ control problem. The key idea of this paper is to employ a full-order observer-based controller. The proposed method produces a sequence of controllers which approaches to the unconstrained globally optimal H 2 controller while it satisfies the H ∞ norm constraint. A numerical example shows the effectiveness of our method.
Following last two years' RAM-SE (Reflection, AOP and Meta-Data for Software Evolution) workshop at the ECOOP conference, the RAM-SE 2006 workshop was a successful and popular event. As its name implies, the works...
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With myriad information being generated from high-throughput experiments such as microarrays and sequencing technologies, an ever-increasing amount of data is being recorded and analyzed with the help of hierarchical ...
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ISBN:
(纸本)9780615153148
With myriad information being generated from high-throughput experiments such as microarrays and sequencing technologies, an ever-increasing amount of data is being recorded and analyzed with the help of hierarchical ontologies, such as the Gene Ontology (GO). We have developed a novel framework-based on the well established foundations of information theory - that allows for the evaluation of new types of hypotheses. The framework, encapsulated in Open Biomedical Ontology-Based Exploration and Search (OBOES), has already been applied in the investigation of different kinds of questions. The resulting framework enables the new field of information theoretic ontology-based analysis. We have applied this framework to create methods to re-engineer ontologies, explore fundamental questions on the evolution of biological complexity, determine optimal ontology terms for bioinformatics analysis, and quantify the usefulness of biofluids as proxies for tissues/diseases. In each case, we found that our methods provide novel, significant findings. An open source Java implementation of OBOES is available at: http://***. net.
In this study we tested the average delay and packet loss performance of access networks under variable bit rate (VBR) video traffic. We used ns-2 simulator to perform the simulations, and actual as well as synthetica...
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In this study we tested the average delay and packet loss performance of access networks under variable bit rate (VBR) video traffic. We used ns-2 simulator to perform the simulations, and actual as well as synthetically generated ON/OFF sources with ON and OFF times taken from exponential or Pareto distributions are used as inputs to the simulated networks. To make sure that the synthetic sources have VBR-video like characteristics we chose the parameters of these sources such that their Hurst parameter is as close to 1 as possible. We then tested the performance of a network when data produced by these sources is applied as input. The results show that both actual and synthetic sources produce similar results and that the access networks should have at least 1 Mbps speeds to support acceptable quality video transmission.
Fault detection has been becoming a significant topic especially in the control of large scale complex systems. The goal is to detect faults as early as possible and provide a timely warning. Faults are detected using...
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Fault detection has been becoming a significant topic especially in the control of large scale complex systems. The goal is to detect faults as early as possible and provide a timely warning. Faults are detected using thresholds on residuals generated from differences between sensors measurements and computed values. The selection of thresholds affects the performance of the detection system. In this work we propose a method concerning the thresholds selection that can be used for alarm activation using the methodology of System Operating Characteristic (SOC) curves. The method is tested on an electric power transmission system presented in our previous work.
A methodology and algorithms for the detection of divergences of aircraft from their flight plans on the vertical plane are presented. Deviations from the flight plan are often the result of human error, such as misco...
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ISBN:
(纸本)9781424414970;1424414970
A methodology and algorithms for the detection of divergences of aircraft from their flight plans on the vertical plane are presented. Deviations from the flight plan are often the result of human error, such as miscommunication between the pilot and the air traffic controller (ATC), situational awareness errors of the ATC, discrepancies between the mental picture of the ATC and his/her decision support tools, etc. The goal is to detect divergences due to these factors as early as possible and provide a timely warning. The difficulty is distinguishing these "important" divergences from generic deviations, due for example to local wind conditions. Here we develop algorithms for addressing this problem, inspired by methods from fault detection and isolation. The algorithms are tested on a simulation of a Boeing 767-300 flying in a wind field with realistic spatio-temporal correlation structure.
The accumulation of genomic and proteomic data of many organisms presents an opportunity to analyze entire phylogenetic trees in a systematic, quantified manner. The universal tree of life, constructed by genomic data...
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