The goal of this paper is to present the advantages of robust control in comparison with classic control techniques. Pulse amplitude modulation induction heating inverter with series resonant load circuit with uncerta...
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ISBN:
(纸本)9781424467242;9781424467228
The goal of this paper is to present the advantages of robust control in comparison with classic control techniques. Pulse amplitude modulation induction heating inverter with series resonant load circuit with uncertainties is presented for heating nonferrous metals. Inverters performance with robust and PI control will be compared.
Skew detection and correction is an important step in automated content conversion systems, on which overall system performance is dependent. Although there are many working solutions at the present time, the search f...
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Skew detection and correction is an important step in automated content conversion systems, on which overall system performance is dependent. Although there are many working solutions at the present time, the search for an algorithm that can achieve good error rates in a fast running time and on different layout types is still open, so new solutions for skew detection are needed. The paper at hand presents a neighbor clustering based approach that has the classical advantages of this class of algorithms - the speed, but delivers better accuracy, comparable with that of Hough based solutions.
A direct and an indirect adaptive fuzzy state feedback approximation are considered for a class of nonlinear systems. In this work the control system consists of sliding- mode control and an adaptive fuzzy logic contr...
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The 20 papers in this second part of this special section are classified by energy sources (wind, photovoltaic, hydro, etc.), grid-related issues (islanding, synchronization, microgrid, and smart grid), and converters...
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The 20 papers in this second part of this special section are classified by energy sources (wind, photovoltaic, hydro, etc.), grid-related issues (islanding, synchronization, microgrid, and smart grid), and converters for renewable energy sources.
Nuclear Magnetic Resonance (NMR) is widely used technique in cancer diagnosis and treatment planning. It is employed to search for the high concentration regions of particular metabolites, which are directly related t...
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Nuclear Magnetic Resonance (NMR) is widely used technique in cancer diagnosis and treatment planning. It is employed to search for the high concentration regions of particular metabolites, which are directly related to the concentration of cancer cells. NMR signal maybe be characterized by a set of peaks which are representation of every distinct metabolite. Area under peak must be calculated in order to obtain proper information about metabolite amount. Commercially available software allows for the analysis of one-peak-in-time only. The proposed technique, based on Gaussian Mixture Model (GMM), allows for modeling all-peaks-in-time, and corrects after the neighboring peaks giving more accurate estimates of metabolite concentration. The resulting software processes NMR signal from the very beginning up to the final result, which is given in a form of so called metabolite map.
A non-linear iterative learning control approach is developed for application to stroke rehabilitation. The subject is seated in a robotic workstation and electrical stimulation is applied to their triceps muscle to a...
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Business forecasting uses statistic tools more or less sophisticated that relay on the observation values from the past, regarding the activity level, and calculates predictions for the future. The majority of the met...
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Business forecasting uses statistic tools more or less sophisticated that relay on the observation values from the past, regarding the activity level, and calculates predictions for the future. The majority of the methods can calculate forecast without any problem and with high accuracy when the data has a satisfying quality. This paper describes our results in implementing the forecast in general and highlights the cases with sporadic data, cases with a high forecasting need, that are common in real life.
In this paper we address the topic of embedding 2D barcode detection and reading technology into specific online environment applications. We propose a framework for the integration of barcode technology into common u...
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ISBN:
(纸本)9781424474325;9781424474332
In this paper we address the topic of embedding 2D barcode detection and reading technology into specific online environment applications. We propose a framework for the integration of barcode technology into common use online systems running in web browsers. This article is based upon our fast Data Matrix barcode detection and decoding method as this presents the greatest technical challenges for the development of a complete solution within the framework.
Accelerated Norm-Optimal Iterative Learning control (NOILC) is a recently developed method to improve the convergence performance of the well known NOILC algorithm. This paper investigates the effectiveness of this me...
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ISBN:
(纸本)9781846000386
Accelerated Norm-Optimal Iterative Learning control (NOILC) is a recently developed method to improve the convergence performance of the well known NOILC algorithm. This paper investigates the effectiveness of this method experimentally on a gantry robot facility, which has been extensively used to test a wide range of linear model based ILC algorithms. The results obtained confirm that the accelerated algorithm outperforms NOILC algorithm and in particular, the improvements at initial stage can be substantial, which is of great interest in practical applications.
This paper describes the design and fabrication of an intelligent Irrigation control system that allows intelligent control of the water applied to the field at right amounts and times. The system should have the capa...
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ISBN:
(纸本)9789604741991
This paper describes the design and fabrication of an intelligent Irrigation control system that allows intelligent control of the water applied to the field at right amounts and times. The system should have the capabilities to measure the water content in the soil so water can be applied as needed. The WATERMARK soil moisture sensor based on the measurement of the soil tension will provide the measurement of the water content. The system measures the soil tension, soil temperature and rain status and records the data in a file for future reference. It will apply water to field if a certain level of soil water tension is reached. This intelligent Irrigation control system is suitable for universities, research centers and farms where a control of the soil water content is required. The system can be used to study the water requirements for crops so irrigation can be scheduled efficiently.
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