In any non trivial software system the reliability of the software cannot be determined exactly. Instead, we must apply statistical methods to create an estimate based on a sample of test cases. Our goal is, given a f...
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In any non trivial software system the reliability of the software cannot be determined exactly. Instead, we must apply statistical methods to create an estimate based on a sample of test cases. Our goal is, given a fixed total number of test cases, to determine how to allocate these test cases among the partitions of the software so as to minimize the variance incurred by the maximum likelihood estimator of the overall software reliability. In contrast to fixed sampling models, where the proportion of test cases taken from each partition is determined before reliability testing begins, we make allocation decisions dynamically throughout the testing process. We compare the results from the dynamic test allocation model with the optimal sampling model and demonstrate its strength with respect to the variance incurred when the overall system reliability is estimated by its maximum likelihood estimator both theoretically and through Monte Carlo simulations.
A collection of one or more devices, each described by its digital device manual and reachable over a network, is a ConnectedSpace. A set of safety policies may be enforced on a ConnectedSpace to ensure the safety of ...
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A collection of one or more devices, each described by its digital device manual and reachable over a network, is a ConnectedSpace. A set of safety policies may be enforced on a ConnectedSpace to ensure the safety of the environment in which the ConnectedSpace is deployed. The enforcement of these safety policies by one or more safely controllers governs the behavior of the devices within the ConnectedSpace. We propose a policy-based partitioning scheme for synthesizing k distributed safety controllers such that: (a) each device is guaranteed to be controlled by no more than two controllers, and (b) each policy is guaranteed to be enforced by exactly one controller. We present an experimental evaluation of our scheme. The experimental results show that the scheme is scalable with respect to the number of devices and the number of policies. We also show how safety controllers that are correct with respect to the policies, are synthesized using the theory of supervisory control.
Design of an optimal nonlinear state feedback voltage regulator for power systems is proposed in this paper. In order to obtain the nonlinear control law the Hamilton-Jacobi-Belman (HJB) equation is solved using Taylo...
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Design of an optimal nonlinear state feedback voltage regulator for power systems is proposed in this paper. In order to obtain the nonlinear control law the Hamilton-Jacobi-Belman (HJB) equation is solved using Taylor series expansion of its nonlinear terms. The performance of the proposed controller in a single machine-infinite bus power system is simulated and the advantages of the nonlinear feedback controllers in some grounds like increasing the fault tolerance and domain of validity of the close-loop system are investigated. Also, the advantages of the proposed controller in the presence of some disturbances are shown. Simulation results reveal the effectiveness of the proposed controller.
A sliding mode controller is employed to improve the robust performance of the position control of an induction motor in response to mechanical parameter uncertainty or load torque variations. In this paper a discrete...
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A sliding mode controller is employed to improve the robust performance of the position control of an induction motor in response to mechanical parameter uncertainty or load torque variations. In this paper a discrete-time sliding mode controller is proposed for an indirect-vector controlled induction motor. Using the proposed controller, the position control of an induction motor is designed and the effects of the parameter uncertainty and the load torque variations on the performance of the controller are investigated. Simulation results reveal the effectiveness of the proposed controller.
In this paper, a simple neuro-controller for power systems is presented. The controller performs the function of the terminal voltage control. By representing the proposed neuro-controller in s -domain, its parameters...
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In this paper, a simple neuro-controller for power systems is presented. The controller performs the function of the terminal voltage control. By representing the proposed neuro-controller in s -domain, its parameters can be obtained analytically to ensure system stability. Results of simulation studies on a nonlinear third order generator model with the proposed neuro-controller using calculated parameters are given. Results of simulation studies demonstrate the effectiveness of this simple neuro-controller.
The Greek Orthodox Archdiocese of America (GOA) has amassed a rich and varied collection of artifacts associated with two thousand years of religious and historical tradition, as well as more than a century of chronic...
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ISBN:
(纸本)1581137869
The Greek Orthodox Archdiocese of America (GOA) has amassed a rich and varied collection of artifacts associated with two thousand years of religious and historical tradition, as well as more than a century of chronicles in America. The items in this archive include iconography, art, photographs, letters, and other memorabilia. The GOA has endeavored to digitize these assets in order to preserve them, while at the same time make them more accessible for appropriate and beneficial uses. Specifically, the department of Internet Ministries at the GOA was tasked with overseeing this digitization effort, as well as with the creation of appropriate tools and technology for accessing the resulting digital archive. The challenges associated with this work included the wide diversity of media types, the need to attach specific restrictions to the use of different items, and the desire to provide a user experience that was transparent and not daunting or discouraging. At a fairly early stage it was de-termined that emerging digital rights management (DRM) capabilities would be necessary in order to realize the goals of the project. These capabilities, however, had to be implemented while accounting for a previously deployed digital asset management (DAM) and web publishing system, not to mention the existing IT infrastructure. This paper presents a case study that describes the efforts associated with the specification, creation, and deployment of an effective DRM system that incorporates rights enforcement technology, and works in synergy with the previously deployed DAM system at the GOA. Copyright 2003 ACM.
The paper presents a model that is useful for developing resource allocation algorithms for distributed real-time systems that operate in dynamic environments. Interesting aspects of the model include dynamic environm...
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The paper presents a model that is useful for developing resource allocation algorithms for distributed real-time systems that operate in dynamic environments. Interesting aspects of the model include dynamic environments, utility and service levels, which provide a means for graceful degradation in resource-constrained situations and support optimization of the allocation of resources. The paper also provides an allocation algorithm that illustrates how to use the model for producing feasible, optimal resource allocations.
In this paper a model based nonlinear controller for a Gas Metal Arc Welding (GMAW) system is designed. The controller uses nonlinear state feedback to exactly linearize and decouple the GMAW system. The linearized sy...
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In this paper a model based nonlinear controller for a Gas Metal Arc Welding (GMAW) system is designed. The controller uses nonlinear state feedback to exactly linearize and decouple the GMAW system. The linearized system is then controlled using model reference sliding mode controllers. The effect of parameter uncertainty over the closed loop system performance is investigated and simulation results show the effectiveness of the proposed controller.
We define and analyze a new concept in the field of cyber warfare - cyber warfare peacekeeping. We identify that in some parts of the world low intensity cyber warfare has been conducted for over three years. The PRC ...
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We define and analyze a new concept in the field of cyber warfare - cyber warfare peacekeeping. We identify that in some parts of the world low intensity cyber warfare has been conducted for over three years. The PRC and Taiwan (among others) have established independent elements in their armed forces devoted to cyber warfare. Recent events have shown that cyber warfare would have devastating effects well beyond the boundaries of the combatants. Such a war would have to be brought to an immediate conclusion and most likely would require a "peacekeeping" capability and agency. We identify the various current definitions of cyber warfare and its comparisons to traditional ("kinetic") warfare. We then examine the notion of peacekeeping from its initiation in the SO's by the UN to the "robust" or proactive peacekeeping developed in the 90 's principally in reaction to situations in Somalia, Bosnia, Kosovo, Sierra Leone and East Timor. We then suggest some principles of cyber warfare peacekeeping and discuss possible practices and technologies to support such an activity. Finally we describe a cyber warfare peacekeeping laboratory workbench, some early experiments and development concepts and some next steps.
This paper addresses an important and practical problem in computer vision and pattern recognition — qualitative target detection from aerial images. In particular, it discusses the problem of qualitative building de...
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This paper addresses an important and practical problem in computer vision and pattern recognition — qualitative target detection from aerial images. In particular, it discusses the problem of qualitative building detection based on a monocular aerial image. The approach proposed, due to its independence of site models or camera calibration information, complements the model based approaches developed in the rest of the research community of building detection from aerial images. Specifically, a knowledge supervised perceptual grouping (KSPG) system based on reinvestigation, and hypothesis generation and verification, is presented, and is shown to be reasonably robust in experiments using real data.
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