Multi-hop routing of 10Gbit/sec optical packets through four complete nodes in the Data Vortex switch was demonstrated using bit-parallel WDM headers. Control signaling among four nodes was experimentally shown to pro...
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Multi-hop routing of 10Gbit/sec optical packets through four complete nodes in the Data Vortex switch was demonstrated using bit-parallel WDM headers. Control signaling among four nodes was experimentally shown to properly route 20-packet sequences.
The impulse response of an FIR lowpass or highpass fitter is quasi-periodic and enclosed in an envelope with diminishing magnitude. Its energy concentrates near the center. This diminishing energy and quasi-periodic n...
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A strong workforce in science and engineering and literate citizens in a technology-based society depends on an educational system that prepares students in science, mathematics, and engineering. Unfortunately, many K...
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A strong workforce in science and engineering and literate citizens in a technology-based society depends on an educational system that prepares students in science, mathematics, and engineering. Unfortunately, many K-12 students lose interest in such topics early in their school years. engineering applications can capture the imagination of students and illustrate the concepts in science and mathematics. Level-appropriate resources are as necessary for primary teachers and our young scholars as for teachers and students in higher grades. A model for interaction between engineers and K-4 teachers is proposed. The State of Missouri defines curriculum standards in each subject area and assesses student performance three times during a student's education. The first assessment for science is in the third grade and for mathematics is in the fourth grade. These standards were examined from an engineering perspective. In addition, in-service primary teachers were surveyed to determine their background, needs, and attitudes regarding science, mathematics, and engineering. Early years of an effective technical curriculum must introduce the basic concepts and begin layering this understanding with detail and connectivity. Our model shows how engineering applications can provide hearing, seeing, and doing components, i.e. auditory, visual, and kinesthetic educational activities, within the recommended pedagogy. The approach involves in-service teachers throughout the development process, addresses state standards and testing criteria, and partners specialists in engineering content and teacher training.
The literature on multiaccess (uplink) communications has traditionally treated "network-layer" issues such as source burstiness and network delay apart from "physical-layer" issues such as channel...
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The literature on multiaccess (uplink) communications has traditionally treated "network-layer" issues such as source burstiness and network delay apart from "physical-layer" issues such as channel modelling, coding, and detection. We establish a unified cross-layer framework for optimal resource allocation over multiaccess fading channels where packets arrive randomly to transmitters. Using optimal coding assumptions, we first show that the region of all stable arrival rates is the same as the information-theoretic capacity region of [1]. Next, we show that a Longest-Queue-Highest-Possible-Rate (LQHPR) allocation strategy stabilizes the multiaccess queueing system whenever stability is possible. Finally, we show that under symmetric conditions, the LQHPR policy also minimizes the average packet delay. Such a policy can be interpreted in the coding context as adaptive successive decoding. Since optimal coding assumptions are used, the throughput (delay) performance of the LQHPR policy provides a fundamental upper (lower) bound to the performance of all reliable multiaccess coding schemes.
Proper initialization of neural networks is critical for a successful training of its weights. Many methods have been proposed to achieve this, including heuristic least squares approaches. In this paper, inspired by ...
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Proper initialization of neural networks is critical for a successful training of its weights. Many methods have been proposed to achieve this, including heuristic least squares approaches. In this paper, inspired by these previous attempts to train (or initialize) neural networks, we formulate a mathematically sound algorithm based on backpropagating the desired output through the layers of a multilayer perceptron. The approach is accurate up to local first order approximations of the nonlinearities. It is shown to provide successful weight initialization for many data sets by Monte Carlo experiments.
The widely used denoising algorithms based on nonlinear diffusion, such as Perona-Malik and total variation denoising, modify images toward piecewise constant functions. Though edge sharpness and location is well pres...
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The widely used denoising algorithms based on nonlinear diffusion, such as Perona-Malik and total variation denoising, modify images toward piecewise constant functions. Though edge sharpness and location is well preserved, important information, encoded in image features like textures or small details, is often lost in the process. We suggest a simple way to better preserve textures, small details, or global information. This is done by adding a spatially varying fidelity term that controls the amount of denoising in any region of the image. This form is very simple, can be used for a variety of tasks in PDE-based image processing and computer vision, and is stable and meaningful from a mathematical point of view.
As lightning surges are considered to be the most dangerous events in power distribution systems, the more we know about them the better we can select and coordinate protection devices. Moreover, a better knowledge of...
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As lightning surges are considered to be the most dangerous events in power distribution systems, the more we know about them the better we can select and coordinate protection devices. Moreover, a better knowledge of lightning surges gives rise to the accurate positioning of device protection, the reduction of insulation costs at installations and allows operation with well-known risks of failure. The development of a computer application based on fuzzy logic techniques, which allow the determination of the accurate position of the surge arrester in power systems, controls the risk of failure, thus permitting the selection of appropriate protection schemes for each network. As a consequence, protection costs are reduced in accordance with the costs of the elements actually protected and the continuity of service to be achieved.
This paper presents further development in a new time domain computational technique developed for the determination of far field acoustic radiation. This method, referred to as the Transform Potential Theoretic Metho...
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ISBN:
(纸本)9781624101007
This paper presents further development in a new time domain computational technique developed for the determination of far field acoustic radiation. This method, referred to as the Transform Potential Theoretic Method (TPT), solves linear time dependent wave propagation in an unbounded medium combining techniques involving numerical transforms/inverse transforms and potential theory. The end result is a robust procedure that is accurate and computationally efficient. The TPT technique is meshless yet it can handle arbitrary geometries for the acoustic source. The validity of the procedure is demonstrated for the case of an acoustic wave propagation from a two-dimensional bounded surface embedded in a uniform flow. Both direct simulations as well as the current method(s) are compared. The single layer potential theory based TPT method required fewer points on the boundary than the double layer potential theory based TPT, and performs better than direct simulation in high subsonic Mach number flows (M = 0.8). The time required to compute these solutions were more than two orders of magnitude lower than direct simulation.
The nonlinear optical effects induced by a one-dimensional (1D) line defect, made of Kerr material, in a 2D photonic crystal are studied. Comprehensive ab initio numerical simulations based on the finite-difference ti...
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The nonlinear optical effects induced by a one-dimensional (1D) line defect, made of Kerr material, in a 2D photonic crystal are studied. Comprehensive ab initio numerical simulations based on the finite-difference time-domain method show efficient third-harmonic generation in a photonic crystal waveguide consisting of the 1D defect line. The relationship between the third harmonic generation process and the nonlinear modal properties of the waveguide is discussed. We investigate optical limiting in such a device, that is, control of the transmitted power as a function of the Kerr-induced variation of the refractive index. Power dependent spectral changes in such a device and its use as a frequency selector are also examined.
Lightning surges can cause major damage to distribution network components, specially to transformers, therefore it is important to select an appropriate protection scheme to limit the damage caused by these overvolta...
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Lightning surges can cause major damage to distribution network components, specially to transformers, therefore it is important to select an appropriate protection scheme to limit the damage caused by these overvoltages. The purpose of this work is the development of a method to calculate the surge arrester position in distribution systems, using fuzzy logic techniques, in order to establish failure risks lower than the admissible and to install the least number of arresters. The development of a computer application using the Matlab program allows the determination of the accurate position of the surge arrester in power systems, controls the risk of failure, thus permitting the selection of appropriate protection schemes for each network. We can reach important conclusions of the transformer protection using simplified models in the network analysis.
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