Continual advances in technology necessitate on-going updates and modifications to existing digital design laboratory experiments to ensure a quality, state-of-the-art lab experience for both students and instructors....
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Recent FCC proceedings have considered the notion of unlicensed device operation in licensed bands. Licensed users are concerned about harmful interference while unlicensed device manufacturers are concerned that harm...
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A practical device for switching needs has been constructed to take advantage of limited index finger abduction in a person with paralysis. The device utilizes a microcontroller to handle mechanical switch debouncing,...
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This paper- studies different error control schemes in wireless sensor networks with Bluetooth technology. The tradeoff between reliability and energy consumption of Bluetooth packets are analyzed, using different err...
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This paper presents a hybrid integration approach for heterogeneous heavy tailed traffic from multiple classes over a channel of known capacity, where the service times follow lognormal distribution. Using our hybrid ...
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ISBN:
(纸本)0780394143
This paper presents a hybrid integration approach for heterogeneous heavy tailed traffic from multiple classes over a channel of known capacity, where the service times follow lognormal distribution. Using our hybrid integration approach, we formulate a procedure that can minimize delay while improving the channel utilization. We show that this approach yields lower delays than either the integrated or segregated approach described in published literature.
An appropriate definition and efficient computation of similarity (or distance) measures between two stochastic models are of theoretical and practical interest. In this work, a similarity measure, that is, a modified...
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Edge detection is an important topic in image processing and a main tool in pattern recognition and image segmentation. Many edge detection techniques are available in the literature. 'A number of recent edge dete...
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Edge detection is an important topic in image processing and a main tool in pattern recognition and image segmentation. Many edge detection techniques are available in the literature. 'A number of recent edge detectors are multiscale and include three main processing steps: smoothing, differentiation and labeling' (Ziau and Tabbone, 1997). This paper, presents a proposed method which is suitable for edge detection in images. This method is based on the use of the clustering algorithms (Self-Organizing Map (SOM), K-Means) and a gray scale edge detector (Canny, Generalized Edge Detector (GED)). It is shown that using the grayscale edge detectors may miss some parts of the edges which can be found using the proposed method.
US university engineeringprograms include a "senior design" course in their curricula. These courses are a student's last opportunity to use design skills learned in school. Student teams work to solve ...
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