This paper covers the state of the art in nonlinear dynamical system identification using Artificial Neural Networks (ANN). The main approaches in the last two decades are presented in unified framework. ANN have uniq...
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The paper is focused on fault detection and isolation (FDI) in a stochastic non-linear system affected by noise. The substance of the presented Bayesian identification-based FDI methodology is a probabilistic model de...
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This paper presents a machine vision method to inspect the maturity of pineapples that ripe naturally. Unlike previous methods, the proposed technique can be categorized as a real-time non destructive testing (Real-Ti...
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This paper presents a machine vision method to inspect the maturity of pineapples that ripe naturally. Unlike previous methods, the proposed technique can be categorized as a real-time non destructive testing (Real-Time NDT) approach. It consists of two phases, learning and recognition phases. In the learning phase, the system constructs a library of reference pineapple-skin-color models. In the recognition phase, the same process is performed to build a pineapple-skin-color model of the testing subject. The model is then compared with each of the reference in the library by a method called region-segmented histogram intersection. The subject is then labeled with the grade of the best match. The system achieved a high performance and speed (3 frames/sec.) in our experiment. The system also includes weighing machine on belt transmission for weight prediction.
作者：
Jan BeranDepartment Of Control
Measurement and Instrumentation Faculty Of Electrical Engineering and Communication Brno University Of Technology
Industrial communication is experiencing pennanent penetration of IT solutions into industrial automation. However IT technologies are efficient in the office floor, they miss significant amount of features and parame...
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Industrial communication is experiencing pennanent penetration of IT solutions into industrial automation. However IT technologies are efficient in the office floor, they miss significant amount of features and parameters for being suitable for direct implementation into industry. This article introduces and emerging project Virtual Automation Network (VAN) whose main objective is to eliminate these shortages and develop a transparent scalable industrial communication solution targeted to embedded devices
This paper examines the relationship between golf club motion and muscle strain when swinging a golf club. It is qualitatively known in the field of sports that strong straining of the muscle when swinging leads to il...
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This paper examines the relationship between golf club motion and muscle strain when swinging a golf club. It is qualitatively known in the field of sports that strong straining of the muscle when swinging leads to ill form. Many famous sports players say that sports training must be repeated to know how to relax one's muscles. In this study, we experimentally investigated the relation between strain in muscle and fluctuation of golf club loci. We found that advanced players hardly strain their muscles under unnecessary situations, whereas novice players strain their muscles strongly throughout the swing. The standard deviation of the angle of the golf club head upon impact with the ball is proportional to the magnitude of EMG in the interval just before impact
Rehabilitation of dysphagia is an important factor in pursuing better quality of life (QOL) for patients suffering from the disorder. In order to make proper in-home rehabilitation policies, nursing staff must grasp t...
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Rehabilitation of dysphagia is an important factor in pursuing better quality of life (QOL) for patients suffering from the disorder. In order to make proper in-home rehabilitation policies, nursing staff must grasp the daily changes in the swallowing function of the patient. Current methods of evaluating the function, however, cannot easily be used for in-home nursing. In this research, we propose an optical sensor-based system that enables quantitative analysis of swallowing function and that can be handily used for in-home nursing
Sleep age and sleep index are defined based on heartbeat and body movement measured noninvasively by the pneumatic method for a person sleeping in bed. Sleep age indicates the quality of sleep, and sleep index shows t...
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Sleep age and sleep index are defined based on heartbeat and body movement measured noninvasively by the pneumatic method for a person sleeping in bed. Sleep age indicates the quality of sleep, and sleep index shows the temporal changes in sleep conditions, by which the sleep stage of the R-K method can be estimated. The overall sleep stages estimated by the proposed method show similar sleep characteristics to those obtained by the R-K method and show reasonable sleep transition
The paper is focused on fault detection and isolation (FDI) in a stochastic nonlinear system affected by noise. The substance of the presented Bayesian identification-based FDI methodology is a probabilistic model det...
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The paper is focused on fault detection and isolation (FDI) in a stochastic nonlinear system affected by noise. The substance of the presented Bayesian identification-based FDI methodology is a probabilistic model determined by the fault probability table. The methodology consists in probabilistic mapping of the measured data into a fault variable. Necessary computations are very simple and heuristic knowledge about the fault can also be easily included in real time. The practical aspects of the proposed FDI algorithm have been tested in real time on a laboratory heating system. The results obtained proved suitability of the designed algorithm for fault detection and isolation in real plants.
Abstract The ZigBee communication standard is intended for use in various applications. Specific one is the building automation. Here plays an essential role the radio range in the building environment. As the propaga...
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Abstract The ZigBee communication standard is intended for use in various applications. Specific one is the building automation. Here plays an essential role the radio range in the building environment. As the propagation of the radio signal inside a building is almost impossible to be calculated, some practical tests have been conducted. The concept of the tests and the most important results are shown in this paper.
This paper presents the development of an intelligent genetic algorithm (GA) technique for training of a generalized regression neural network (GRNN) controller to achieve a compact network and to decrease battery cha...
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This paper presents the development of an intelligent genetic algorithm (GA) technique for training of a generalized regression neural network (GRNN) controller to achieve a compact network and to decrease battery charging time on a cost-effective RISC microcontroller. The suitable input-output data were selected from GA mechanism to establish GRNN. The computational complexity of GRNN can be reduced replaced by some simple polynomial forms. As a consequence, the fast charging device for nickel-cadmium (Ni-Cd) batteries can be efficiently implemented on a low-cost 16F876A RISC microcontroller. Experimental results are shown to demonstrate superiority of the proposed system
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