The prime requirement for medical imaging systems is to be able to display images relating to a particular disease, there is increasing interest in the use of Image Retrieval techniques to aid diagnosis by identifying...
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Most of the task allocation models & algorithms in Distributed Computing System (DCS) require a priori knowledge of its execution time on the processing nodes. Since the task assignment is not known in advance, th...
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ISBN:
(纸本)0769521320
Most of the task allocation models & algorithms in Distributed Computing System (DCS) require a priori knowledge of its execution time on the processing nodes. Since the task assignment is not known in advance, this time is quite difficult to estimate. We propose a cluster-based dynamic allocation scheme, in a distributed computing system, which eliminate this time requirement. Further, as opposed to a single task allocation, generally proposed in most of the models, we consider multiple tasks. A fuzzy function is used for both the module clustering and processor clustering. Dynamic invocation of clustering and assignment is considered. Experimental results show the efficacy of the proposed model.
Panchromatic data of pixel resolution 5.8 m obtained from IRS-IC and IRS-ID satellites proved to be very useful for mapping purposes. One of the popular data product is the 70 km swath mosaic which is covered by a com...
Panchromatic data of pixel resolution 5.8 m obtained from IRS-IC and IRS-ID satellites proved to be very useful for mapping purposes. One of the popular data product is the 70 km swath mosaic which is covered by a combination of 3 CCD line sensors, each with 4096 pixels. Each CCD-line sensor with different imaging times causes geometric problems of mosaicing three strips data together. In this paper, we propose the details of the design elements of system that caters to the need for accurate and automatic multi strip image registration without any second resampling of the data. The systematic geometric correction grid mapping is improved to facilitate accurate mosaicing by automatic image registration task that makes use of the overlap data within image strips and image registration is achieved up to sub-pixel level.
Due to the high complexity and exponential growth of videos, video data management tasks, such as understanding and annotating semantic content, are very difficult to be accomplished. Dance videos are one such critica...
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Summary form only given. Most of the task allocation models & algorithms in distributed computing system (DCS) require a priori knowledge of its execution time on the processing nodes. Since the task assignment is...
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Summary form only given. Most of the task allocation models & algorithms in distributed computing system (DCS) require a priori knowledge of its execution time on the processing nodes. Since the task assignment is not known in advance, this time is quite difficult to estimate. We propose a cluster-based dynamic allocation scheme, in a distributed computing system, which eliminate this time requirement. Further, as opposed to a single task allocation, generally proposed in most of the models, we consider multiple tasks. A fuzzy function is used for both the module clustering and processor clustering. Dynamic invocation of clustering and assignment is considered. Experimental results show the efficacy of the proposed model.
A gated structure of arrays of micron-sized holes has been developed at the University of Michigan. The structure can be positioned atop any uniformly structured planar emitting surface and biased to effect electron e...
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A gated structure of arrays of micron-sized holes has been developed at the University of Michigan. The structure can be positioned atop any uniformly structured planar emitting surface and biased to effect electron emission. The structure is designed to be compatible with a variety of emission surface technologies such as thin films (e.g., boron nitride), carbon nanotubes, and self-assembled nanostructures.
Traditional benchmarking methods for information retrieval (IR) are based on experimental performance evaluation. 1–14 Although the metrics precision and recall can measure the effectiveness of a system, it cannot as...
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Traditional benchmarking methods for information retrieval (IR) are based on experimental performance evaluation. 1–14 Although the metrics precision and recall can measure the effectiveness of a system, it cannot assess the underlying model. Recently, a theory of "aboutness" has been used for functional benchmarking of IR. Latest research shows that the functionality of an IR model is largely determined by its retrieval mechanism, i.e. the matching function. In particular, containment and overlapping (either with or without a threshold value) are the core IR matching functions. The objective of this paper is to model the containment and overlapping matching functions using an aboutness-based framework and analyze them from an abstract and theoretical viewpoint. Separate aboutness relations for containment, pure-overlapping (i.e. without threshold) and threshold-overlapping matching functions are defined, and the sets of properties supported by them are derived and analyzed respectively. These three relations can be used to determine and explain the functionality of an IR system and how the functionality affects the performance of the system. Moreover, they can provide the design guidelines for new IR systems.
In this paper, field emission was measured in varying atmospheres of different gases, from an on-going study of thin films of polycrystalline boron nitride (BN). The initial results indicate that the nanostructured BN...
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In this paper, field emission was measured in varying atmospheres of different gases, from an on-going study of thin films of polycrystalline boron nitride (BN). The initial results indicate that the nanostructured BN surface exhibit robust emission characteristics in the presence of residual gases such as oxygen, xenon, water vapor, and nitrogen. Also, no permanent effect on the emission characteristics was observed from the exposure of the films to the gas.
Wavelet has been applying in signal analyzing, image processing model recognizing, computer sense etc. But among them biorthogonal wavelets with symmetry characteristics (or antisymmetry) in the image compressing, sig...
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Wavelet has been applying in signal analyzing, image processing model recognizing, computer sense etc. But among them biorthogonal wavelets with symmetry characteristics (or antisymmetry) in the image compressing, signal examination has more special functions, this paper research a recursive construction method, at the same time, It is valuable to notice that our recursive methods are not the same as the W. Seldens's lifting scheme, the new technique has important mean to adaptive signal processing and more application: such as for QMF•CQF etc. filters. It is very easy to choose the wavelet bases match to questions by dynamically.
An efficient method for fingerprint searching using recurrent autoassociative memory is proposed. This algorithm uses recurrent autoassociative memory, which uses a connectivity matrix to find if the pattern being sea...
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