A novel real-time discrete-event admission control (AC) scheme for high-speed networks is proposed with the aim of attaining a desired quality of service (QoS) and high network utilization. The AC encapsulates an adap...
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A novel real-time discrete-event admission control (AC) scheme for high-speed networks is proposed with the aim of attaining a desired quality of service (QoS) and high network utilization. The AC encapsulates an adaptive bandwidth estimation scheme, a congestion indicator, and a peak bit/cell rate (PBR/PCR) estimate from new sources. The admission controller dynamics are expressed as a discrete-event system while the bandwidth estimator design is based on Lyapunov theory and the congestion controller dynamics are given in discrete-time. The novel aspect of the proposed approach is the application of hybrid system theory to prove the performance of the proposed admission controller, stability and the development of a rigorous and repeatable design procedure. The performance of the proposed AC is evaluated using the QoS metrics, which are given in terms of service delay, packet/cell losses, and network utilization. Simulation results are presented by streaming ON/OFF and MPEG video data into the network. Results show that the proposed AC admits significantly more traffic compared to other available admission control schemes thereby guaranteeing high network utilization while maintaining the desired QoS.
Critical aircraft assets are required to be available when needed, while exhibiting attributes of reliability, robustness and high confidence under a variety of flight regimes, and maintained on the basis of their cur...
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Critical aircraft assets are required to be available when needed, while exhibiting attributes of reliability, robustness and high confidence under a variety of flight regimes, and maintained on the basis of their current condition rather than on the basis of scheduled maintenance practices. New and innovative technologies must be developed and implemented to address these concerns. Condition based maintenance (CBM) requires that the health of critical components/systems be monitored and diagnostics/prognostic strategies be developed to detect and identify incipient failures and predict the failing component's remaining useful life (RUL). Typically, vibration and other key indicators on-board on aircraft are severely corrupted by noise thus curtailing our ability to accurately diagnose and predict failures. This paper introduces a novel blind deconvolution de-noising scheme that employs vibration model in the frequency domain and attempts to arrive at the true vibration signal through an iterative optimization process. Performance indexes are defined and data from a helicopter are used to demonstrate the effectiveness of the proposed scheme.
In this paper, efficiency analysis and design of contactless electric energy transmission systems using inductive method are elaborated. Large leakage inductances of the systems are to be compensated to achieve resona...
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In this paper, efficiency analysis and design of contactless electric energy transmission systems using inductive method are elaborated. Large leakage inductances of the systems are to be compensated to achieve resonance conditions for maximum efficiency in energy transfer from a launch side to a receiving side where compensating circuits are utilized in both sides. Considering the circuit models of a contactless electrical energy transmission system, the effects of different system parameters including the compensating capacitors are analyzed for a specified frequency range and coupling factor. An algorithm is proposed to determine the optimal compensating capacitors and system resonance frequency to achieve high efficiency.
In this paper, the effect of soil ionization due to lightning strike on wind turbine grounding electrodes is investigated. The developed ionization model is validated and subsequently used to investigate the influence...
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In this paper, the effect of soil ionization due to lightning strike on wind turbine grounding electrodes is investigated. The developed ionization model is validated and subsequently used to investigate the influence of several parameters on the phenomenon studied, namely, the soil type, the electrode type and the crest value of the impulse current. All simulations are performed using EMTP computer program.
This keynote paper: presents a 21 st century vision of computing; identifies various computing paradigms promising to deliver the vision of computing utilities; defines Cloud computing and provides the architecture f...
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This keynote paper: presents a 21 st century vision of computing; identifies various computing paradigms promising to deliver the vision of computing utilities; defines Cloud computing and provides the architecture for creating market-oriented Clouds by leveraging technologies such as VMs; provides thoughts on market-based resource management strategies that encompass both customer-driven service management and computational risk management to sustain SLA-oriented resource allocation; presents some representative Cloud platforms especially those developed in industries along with our current work towards realising market-oriented resource allocation of Clouds by leveraging the 3rd generation Aneka enterprise Grid technology; reveals our early thoughts on interconnecting Clouds for dynamically creating an atmospheric computing environment along with pointers to future community research; and concludes with the need for convergence of competing IT paradigms for delivering our 21 st century vision.
The ability of deep neural networks to generalize well in the overparameterized regime has become a subject of significant research interest. We show that overparameterized autoencoders exhibit memorization, a form of...
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In order for Semantic Web applications to be successful a key component should be their ability to take advantage of rich content descriptions in meaningful ways. Reasoning consists a key part in this process and it c...
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ISBN:
(纸本)9781424467013;9780769540191
In order for Semantic Web applications to be successful a key component should be their ability to take advantage of rich content descriptions in meaningful ways. Reasoning consists a key part in this process and it consequently appears at the core of the Semantic Web architecture stack. From a practical point of view however, it is not always clear how applications may take advantage of the knowledge discovery capabilities that reasoning can offer to the Semantic Web. In this paper we present and survey current methods that can be used to integrate inference-based services with such applications. We argue that an important decision is to have reasoning tasks logically and physically distributed. To this end, we discuss relevant protocols and languages such as DIG and SPARQL and give an overview of our Knowledge Discovery Interface. Further, we describe the lessons-learned from remotely invoking reasoning services through the OWL API.
In this paper, a performance analysis of a dc-bus voltage regulation technique for parallel wind-based synchronous generators is presented. This technique is developed based on the voltage oriented control (VOC) algor...
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In this paper, a performance analysis of a dc-bus voltage regulation technique for parallel wind-based synchronous generators is presented. This technique is developed based on the voltage oriented control (VOC) algorithm for PWM converters. The proposed technique provides economic utilization of the wind generator by insuring unity power factor operation under different possible conditions. This is achieved using a PWM-based controlled rectifier (converter). Furthermore, this gives the ability to interconnect multi wind converter units sharing one dc-bus and the ability to compensate voltage disturbance due to loading effect on the dc-bus. Simulation results for different disturbance conditions are carried out to validate this proposed control algorithm. The developed technique is also implemented in a laboratory setup which includes two synchronous generators (250 W, 2.2 kW), each driven by a variable speed prime mover (VSPM) to emulate a wind turbine behavior, two 3-phase PWM based converters, three-phase line inductors connected between wind generators and converters, variable resistive DC-load, and a digital signal processor (DSP TMS320F240). The experimental results confirm the validity of the presented technique.
The growing demand in system reliability and survivability under failures has urged ever-increasing research effort on the development of fault diagnosis and accommodation. In this paper, the on-line fault tolerant co...
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The growing demand in system reliability and survivability under failures has urged ever-increasing research effort on the development of fault diagnosis and accommodation. In this paper, the on-line fault tolerant control problem for dynamic systems under unanticipated failures is investigated from a realistic point of view without any specific assumption on type of system dynamical structure or failure scenarios. The sufficient condition for system on-line stability under catastrophic failures has been derived using the discrete-time Lyapunov stability theory. Based upon the existing control theory and the modern intelligent techniques, an on-line fault accommodation control strategy is proposed to deal with the desired trajectory-tracking problems for systems suffering from various unknown and unanticipated catastrophic failures. To investigate the feasibility of the developed technique for unanticipated fault accommodation in real hardware under the real-time environment, an on-line fault tolerant control test bed has been constructed to validate the proposed technology. Both on-line simulations and the real-time experiment show encouraging results and promising futures of on-line real-time fault tolerant control based solely upon insufficient information of the system dynamics and the failure modes.
The goal of this work was to enable real-time visual inspection of printed pharmaceutical capsules, as the information printed on the capsules is crucial for unambiguous identification of active substances and dosages...
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The goal of this work was to enable real-time visual inspection of printed pharmaceutical capsules, as the information printed on the capsules is crucial for unambiguous identification of active substances and dosages contained in the capsule. We propose a template matching technique to localize and detect print on capsules. For this purpose, large image distortions related to capsule shape were first eliminated by estimating the principal axes of the capsule and transforming the capsule image to cylindrical coordinates. Then, a fast and efficient implementation of normalized cross correlation was used to localize the printed image or text for which the template was selected a priori. A dedicated database of printed capsules was used to assess and confirm the feasibility of the proposed method in terms of accuracy (
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