This paper presents a computational study and preliminary experimental results of mechanosensor arrays for 2-D airflow sensing. In particular, the analysis presented here applies to a recently developed biomimetic mic...
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This paper presents a computational study and preliminary experimental results of mechanosensor arrays for 2-D airflow sensing. In particular, the analysis presented here applies to a recently developed biomimetic microelectromechanical system (MEMS) inspired by the array of airflow-sensitive hairs found on the crickets' cercus. Based on the maximum-likelihood principle, an estimator that allows reconstruction of both the airflow direction and the airflow velocity amplitude is derived. Given this algorithm, different topologies of hair arrays are investigated in terms of sensitivity for measurement errors. In addition, it is analyzed how redundancy, i.e., the presence of many more than the minimum number of hairs, in the array can be used for lessening the effect of measurement noise. Multiple types of hardware failure common in biological and artificial. array systems, as well as the occurrence of saturation, are analyzed, and it is shown how redundancy again increases the robustness of the sensor. Experimental results are shown to validate the theoretical model and its assumptions.
This paper presents a computational study and preliminary experimental results of mechanosensor arrays for 2-D airflow sensing. In particular, the analysis presented here applies to a recently developed biomimetic mic...
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This paper presents a computational study and preliminary experimental results of mechanosensor arrays for 2-D airflow sensing. In particular, the analysis presented here applies to a recently developed biomimetic microelectromechanical system (MEMS) inspired by the array of airflow-sensitive hairs found on the crickets' cercus. Based on the maximum-likelihood principle, an estimator that allows reconstruction of both the airflow direction and the airflow velocity amplitude is derived. Given this algorithm, different topologies of hair arrays are investigated in terms of sensitivity for measurement errors. In addition, it is analyzed how redundancy, i.e., the presence of many more than the minimum number of hairs, in the array can be used for lessening the effect of measurement noise. Multiple types of hardware failure common in biological and artificial. array systems, as well as the occurrence of saturation, are analyzed, and it is shown how redundancy again increases the robustness of the sensor. Experimental results are shown to validate the theoretical model and its assumptions.
This paper describes a new algorithm for the automatic identification of the type of partial discharge sources in insulation systems of rotating machine stator windings. The proposed algorithm is based on fuzzy rules ...
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ISBN:
(纸本)0780384474
This paper describes a new algorithm for the automatic identification of the type of partial discharge sources in insulation systems of rotating machine stator windings. The proposed algorithm is based on fuzzy rules that associate each partial discharge phenomenon to a fuzzy space class trough a tree path selection. The output is a simple frame where the defect type and a membership are evidenced. Applications of the algorithm to analyze data collected both on field and in laboratory are reported and discussed to show its validity and robustness.
Based on the previously developed hydro-optical models and a combination of the Levenberg-Marquardt multivariate optimization method and neural network emulation technique, a fast operating tool has been developed to ...
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ISBN:
(纸本)0780379292
Based on the previously developed hydro-optical models and a combination of the Levenberg-Marquardt multivariate optimization method and neural network emulation technique, a fast operating tool has been developed to process visible satellite imagery taken over turbid waters. Assessed is the efficiency of the developed tool under conditions of noise-contaminated input data. Determined are the number of sensor's spectral channels in the visible and the ranges of concentrations of major water quality constituents assuring the admissible errors of retrieval results. The processed MODIS image of Lake Michigan given herein exemplifies the feasibility/efficiency of the developed tool.
A desirable property of a compile time scheduling algorithm is robustness against the variations in the computation and communication costs so that the run time performance is close to the compile time estimates; this...
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A desirable property of a compile time scheduling algorithm is robustness against the variations in the computation and communication costs so that the run time performance is close to the compile time estimates; this aspect of scheduling has been left open in the literature. This paper introduces a compile time scheduling algorithm for variable number of available processors and then examines the impact of change of computation and communication costs on the generated schedule. The cost variations for all the nodes and all the edges are assumed to be uniform (in other words, all the node costs change by the same ratio and the edge costs change by the same ratio). This type of cost variation could result from either (i) an inaccuracy in the estimation of the instruction execution cost or the unit message passing delay, or (ii) upgrade in the CPU or routing schemes. The percentage change in the schedule time due to differences in compile time estimated performance and the run time performance with cost variations is a measure of the robustness of the algorithm. We discuss the essential conditions for robustness of the proposed algorithm and demonstrate it through an experimental study.
The purpose of the investigation was to determine if, based on the monitoring of the residual substrate concentration, fuzzy control is an effective way of controlling a fermentation process. Various simulations were ...
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The purpose of the investigation was to determine if, based on the monitoring of the residual substrate concentration, fuzzy control is an effective way of controlling a fermentation process. Various simulations were made using a knowledge model, first to evaluate the performance of the control for the biomass concentration, and then to analyze how it reacted in the presence of disturbances. Results showed high final productivity and biomass concentration. Despite different disturbances, as the feeding glucose concentration changed or the temporary substrate feed-rate increased, the fuzzy controller provided process stability and robustness near the set-point. Moreover, these properties were maintained in the case of noisy measurements.
Adaptive quadrature methods are usually characterized as either local or global. The methods are distinguished by the scope and nature of the information used to determine when algorithm termination should occur and w...
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