This paper presents a newly-developed high-performance 3φ CVCF power conversion conditioner incorporating a new Quasi-Resonant DC Link (QRDCL) single-phase inverter with PWM function and high-frequency AC transformer...
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Most software-based distributed shared memory (DSM) systems rely on the operating system's virtual memory interface to detect writes to shared data. strategies based on virtual memory page protection create two pr...
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Most software-based distributed shared memory (DSM) systems rely on the operating system's virtual memory interface to detect writes to shared data. strategies based on virtual memory page protection create two problems for a DSM system. First, writes can have high overhead since they are detected with a page fault. As a result, a page must be writtenmany timesto amortize the cost ofthat fault. Second, the size of a virtual memory page is too big to serve as a unit of coherency, inducing false sharing. Mechanisms to handle false sharing can increase runtime overhead and may cause data to be unnecessarily communicated between processors. In this paper, we present a new method for write detection that solves these problems. Our method relies on the compiler and runtime system to detect writes to shared data without invoking the operating system. We measure and compare implementations of a distributed shared memory system using both strategies, virtual memory and compiler/runtime, running a range of applications on a small scale distributed memory multicomputer. We show that the new method has low average write latency and supports fine-grained sharing with low overhead. Further, we show that the dominant cost of write detection with either strategy is due to the mechanism used to handle fine-grain sharing.
Telecomms Power and Building Engineering Services (BES) plant has come a long way since the 1930's. On the DC side, equipment has developed from on site generation of DC power, to distributed switch mode power sup...
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We present a system for the integration of computer vision tasks in a distributed environment. This system, called DeViouS, is based on the client/server model and runs in a heterogeneous environment of Unix workstati...
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We present a system for the integration of computer vision tasks in a distributed environment. This system, called DeViouS, is based on the client/server model and runs in a heterogeneous environment of Unix workstations. It takes advantage of the free cycles in modern workstation environments to distribute and speed up the execution of vision tasks. Two primary goals of DeViouS are to provide a practical distributed system and a research environment for vision computing. DeViouS is based on a modular design that allows experimentation in various aspects of algorithm design, scheduling and network programming. It can make use of any existing computer vision package with very minor changes to DeViouS. DeViouS has been tested in an environment of SUN and Digital workstations and has shown substantial improvements in speed over sequential computing with negligible overhead.< >
The use of hypermedia and multimedia technology is perceived as one of the most efficient ways to enhance student access to information and improve learning interaction in the undergraduate computer science course. Su...
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The use of hypermedia and multimedia technology is perceived as one of the most efficient ways to enhance student access to information and improve learning interaction in the undergraduate computer science course. Such an approach will guarantee high level quality teaching whilst permitting significant reduction in lecturer-student contact hours. In this paper we investigate how some special properties of multimedia data can be handled by conceptual modelling techniques. We propose a simplified conceptual framework for the development of interactive courseware. In our proposal, we examine firstly the static structure of the system focusing on the structure of objects and their relationship to each other while temporarily disregarding the dynamic nature of the system. To simplify the conceptual model construction we use predefined constructs and topic descriptors. In a later stage the conceptual model is used to generate the functional prototype. The dynamic behaviour of the system-flow of control, interactions, sequencing of operations on active objects-is examined in real time using the functional prototype, corrective member, and the feedback loop.< >
Two different but related issues regarding view planning are: (a) how should the object be best viewed (i.e. orientation with respect to the sensor); (b) how many views are required to completely verify the object? Th...
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Two different but related issues regarding view planning are: (a) how should the object be best viewed (i.e. orientation with respect to the sensor); (b) how many views are required to completely verify the object? The firststep in the solution process is to determine the appropriate criteria for view planning. In the method presented here, surface area, number of surfaces and pixel resolution, have been selected as the criteria. From the inspection planning point of view, optimal view sequencing is needed to inspect a required object completely. Using two parameters (the grouped visible regions and the admissibility of the best viewpoint), a greedy heuristic search algorithm with a logarithmic ratio bound is applied to find a minimal view sequence.< >
Gibbs distributions are widely used as a priori density functions for Bayesian image restoration. When a Gibbs distribution prior is formulated to incorporate a line or edge process, Bayesian image restoration additio...
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Gibbs distributions are widely used as a priori density functions for Bayesian image restoration. When a Gibbs distribution prior is formulated to incorporate a line or edge process, Bayesian image restoration additionally yields the edges in the image. We interpret these a priori and density function as themselves being edge detectors. We formulate a density function that is more effective in this regard. This work explores the use of higher order Markov random fields that hold rich potential for varied applications.< >
A new signal processing method is developed for image region detection and segmentation. The proposed technique formulates the region detection problem in a multidimensional signal processing framework such that a sig...
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A new signal processing method is developed for image region detection and segmentation. The proposed technique formulates the region detection problem in a multidimensional signal processing framework such that a signal structure similar to sensor-array-processing signal presentation is created and the advanced sensor-array-signal processing techniques are employed. Following the region detection, the segmentation is completed by region parameter estimation and pixel classification. The developed method is an unsupervised, non-model-based, eigenstructure approach. It eliminates the ad-hoc assumptions in image modeling, and possesses extensive computation speed superiority over existing model-based approaches. Particularly, it properly utilizes the spatial correlations among the pixels. Details of this technique and several examples are presented. The relationships between this and other methods such as decorrelation, multispectral, and AR model are also discussed.< >
In image retrieval based on color, the weighted distance between color histograms of two images, represented as a quadratic form, may be defined as a match measure. However, this distance measure is computationally ex...
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In image retrieval based on color, the weighted distance between color histograms of two images, represented as a quadratic form, may be defined as a match measure. However, this distance measure is computationally expensive (naively O(N/sup 2/) and at best O(N) in the number N of histogram bins) and it operates on high dimensional features (O(N)). We propose the use of low-dimensional, simple to compute distance measures between the color distributions, and show that these are lower bounds on the histogram distance measure. Results on color histogram matching in large image databases show that pre-filtering with the simpler distance measures leads to significantly less time complexity because the quadratic histogram distance is now computed on a smaller set of images. The low-dimensional distance measure can also be used for indexing into the database.< >
A new technique for phasing coherent arrays is described for the situation in which independent realizations of an object's far field are measured, with each measurement corrupted by a different phase error. The m...
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A new technique for phasing coherent arrays is described for the situation in which independent realizations of an object's far field are measured, with each measurement corrupted by a different phase error. The method is similar to the imaging correlography technique in that an estimate of the object's autocorrelation is obtained by correlating the far-field intensities. However, in contrast with imaging correlography, this information is then used to estimate the phase errors for each realization, and the phase-error estimates are used to phase the array and form an estimate of the object.< >
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