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.
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.
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.
AI software is regarded as the key to the formation of new domain and new quality combat capabilities in the future. In response to the characteristics of randomness, autonomy, and learning of AI software, traditional...
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In response to the automatic extraction of navigation lines for wheat root cutting, this paper conducted field experiments and analyses on the navigation line extraction algorithm, based on the improved YOLOv5 algorit...
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In response to the automatic extraction of navigation lines for wheat root cutting, this paper conducted field experiments and analyses on the navigation line extraction algorithm, based on the improved YOLOv5 algorithm. Firstly, based on the characteristics of wheat seedling rows during the wheat rejuvenation period, the YOLOv5 algorithm was improved by using rotation detection box labels, and navigation lines were extracted by fitting the detection boxes using clustering methods. Then, an experimental system was established to conduct field experiments on the algorithm: (1) Tests were conducted at three speeds of 0.5 m/s, 1.0 m/s and 1.5 m/s respectively, and the position error of the root cutter was measured and analyzed, indicating that the actual navigation path position error increased with the speed. The best navigation performance was observed at 1 m/s, with an average positional error of 18.56 mm, meeting the requirements for wheat root cutting. (2) robustness analysis of the algorithm was conducted using data collected from 2019 to 2022. Comparative tests were conducted from four aspects: different years, different time periods, different environments, and different yaw angles. The results showed that the algorithm proposed in this paper has stronger robustness and higher accuracy.
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.
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