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3rd ieee intelligent data acquisition and advanced computing systems

作者： Kolokolov, Yu. V. Monovskaya, A. V. Sholonik, A. P. JSC Electrotex Oryol 302020 Russia

ISBN: (纸本)9780780394452

Pulse energy conversion system (PECS) safe and reliable operation depends on timely forecasting of emergencies, which are connected with PECS dynamics evolution in the direction of undesirable dynamic regimes (such as sub-harmonic, quasi-periodic and chaotic processes). The main deficiency of the known approaches regarding this problem solving is an absence of the guarantee, that correct decision on the next stationary process in PECS dynamics is made before this process have settled. The approach offered is directed to the problem solution by PECS dynamics mapping from multi-D spaces into their small dimensional projections without useful information loss. In the paper the experimental investigation results, the purpose of which was an estimation of the possibility of of practical use of the approach to. real-time emergency,forecasting in PECS dynamics, are presented

关键词： emergency forecasting real-time time series processing

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Fuzzy hybridization of "artificial neural networks" (ANN) based signal and image processing techniques: Application to intelligent "computer aided medical diagnosis" (CAMD)

Fuzzy hybridization of "artificial neural networks" (ANN) ba...

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3rd ieee intelligent data acquisition and advanced computing systems

作者： Chohra, Amine Kanaoui, Nadia Amarger, Veronique Madani, Kurosh Univ Paris 12 LISSI Intelligence Instrumentat & Syst IS2 F-77127 Lieusaint France

ISBN: (纸本)9780780394452

In this paper, an automated fault diagnosis system essentially based on neural networks and fuzzy logic, in a hybrid scheme, is suggested. First, a signal classification and image classification, resulting in a signal diagnosis and image diagnosis respectively, are developed. Such dual-classificaion is then exploited in a fuzzy system 1 to ensure a satisfactory reliability, to medical diagnosis and particularly for auditory pathologies. Second, this reliability is reinforced using the obtained diagnosis result with an auditory threshold parameter of patients exploited in a fuzzy system 2 in order to generate the decision-making of the final diagnosis result. Finally a discussion is given with regard to the suggested hybrid approach and the decision-making phase for an automated fault diagnosis system.

关键词： neural networks signal and image classification fuzzy logic information fusion decision-making

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A new advanced hybrid analysis method in power systems disturbances

A new advanced hybrid analysis method in power systems distu...

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3rd ieee intelligent data acquisition and advanced computing systems

作者： Borras, Dolores Carlos Bravo, Juan Carlos Montano, Juan Castilla, Manuel Lopez, Antonio Gutierrez, Jaime Escuela Univ Politecn Dpto Ingn Elect Seville 41011 Spain

ISBN: (纸本)9780780394452

In the past the Fourier Transform usually has been used for analysis of non-stationary signals, if interested in what the spectral components exist in the signal, and not interested where they occur. However, if this information is needed, i.e., if we want to know in order to analyze the transients, which spectral component occur at what interval of time, then Fourier Transform is not the right transform to use. When the time localization of the spectral components is needed, the Wavelet Transform (WT) gives the optimal time-frequency representation of the signal. As well as the Fast Fourier Transform, the WT is an advanced mathematical tool for the analysis of power system disturbances. In this paper, a new method of the combined wavelet-fourier transform has been proposed. With the method, disturbances are detected, analysed. and compacted. Finally the results of an experimental research have been shown and commented on.

关键词： wavelets Fourier transform Power quality harmonic distortion transients signal processing

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Multi-agent systems in a one-man operation measurement setup

Multi-agent systems in a one-man operation measurement setup

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3rd ieee intelligent data acquisition and advanced computing systems

作者： Vecchio, Antonio Hutemann, Alexander Van der Auweraer, Herman Leuridan, Jan LMS Int B-3001 Louvain Belgium

ISBN: (纸本)9780780394452

Global competition requires product development cycles to bring technology innovation into new products while consistently shortening time to market. In software industry, new product releases are yearly launched to commercially better exploit technology added value. Such a fast changing scenario makes it very hard for users to get acquainted with newly implemented functionalities. This problem is even more critical in case commercial software - often very technical - is used to simplify, complex industrial applications. A typical example in NVH measurement is pass-by-noise testing, where complex test set-up and strict data validation procedures require several expert operators to perform the test. This paper presents a multiagent system that assists a single non-expert test engineer to correctly perform pass-by noise measurement. The proposed solution uses interface agent technology to control the data acquisition system, deal with the complex test set-zip and perform automatic and on-line data validation check on measured data.

关键词： pass by noise interface agents distributed measurements systems

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Analytically modeling unreliable parallel processing systems with general task time distributions

Analytically modeling unreliable parallel processing systems...

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3rd ieee intelligent data acquisition and advanced computing systems

作者： Fiorini, Pierre M. Univ So Maine Portland ME 04103 USA

ISBN: (纸本)9780780394452

For many computing systems, failure is rare enough that it can be ignored or dealt with as an afterthought. In other systems, failure is so common that the recovery procedure can have a significant impact on the performance of the system. There are many different recovery schemes for tasks, however, they can be grouped into three broad categories: 1) Resume: When a task fails, it knows exactly where it stops and can continue at that point when allowed to resume (i.e., preemptive resume - prs): 2) Replace: When a task fails, then later when the processor continues, it begins with a brand new task (i.e., preemptive repeat different - prd): and, 3) Restart: When a task fails it loses all work done to that point and must start anew upon continuing later preemptive repeat identical - pri. In this paper, assuming a computing system is unreliable, we discuss how heavy-tail distributions can appear in an otherwise exponential v or non-exponentially distributed task stream. This is an important consideration since it is known that power-tails can lead to unstable systems. We then demonstrate how to obtain performance and dependability measures for a class of computing systems comprised of P unreliable processors and a finite number of tasks, N.

关键词： performance & dependability modeling parallel & distributed systems queueing theory

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Parallel algorithm of enhanced historical data integration using neural networks

Parallel algorithm of enhanced historical data integration u...

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3rd ieee intelligent data acquisition and advanced computing systems

作者： Turchenko, V. Triki, C. Grandinetti, L. Sachenko, A. Univ Calabria Ctr Excellence High Performance Comp I-87036 Arcavacata Di Rende CS Italy

ISBN: (纸本)9780780394452

The main feature of neural network using for accuracy improvement of physical quantities (for example, temperature, humidity, pressure etc) measurement by data acquisition systems is insufficient volume of input data for predicting neural network training at an initial exploitation period of sensors. The authors have proposed the technique of data volume increasing for predicting neural network training using integration of historical data method. In this paper we have proposed enhanced integration historical data method with its simulation results on mathematical models of sensor drift using single-layer and multi-layer perceptrons. We also considered a parallelization technique of enhanced integration historical data method in order to decrease its working time. A modified coarse-grain parallel algorithm with dynamic mapping on processors of parallel computing system using neural network training time as mapping criterion is considered. Fulfilled experiments have showed that modified parallel algorithm is more efficient than basic parallel algorithm with dynamic mapping, which does not use any mapping criterion.

关键词： sensor drift integration historical data neural networks coarse-grain parallel algorithm dynamic mapping computational grids

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Visualization of stability of dynamical systems by 3D graphics supported by cluster computing

Visualization of stability of dynamical systems by 3D graphi...

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3rd ieee intelligent data acquisition and advanced computing systems

作者： Funasaka, Takashi Iwase, Masami Fujisawa, Katsuki Hatakeyama, Shoshiro Tokyo Denki Univ Dept Syst & Comp Engn Hatoyama Saitama 3500394 Japan

ISBN: (纸本)9780780394452

The stabilization of nonlinear systems depend strongly on the initial state and the parameters of the systems. The initial state and the parameters with which the system Is stabilized can be distinguished by the geometrical structure. It is, however, difficult and sometimes impossible to analyze the structure analytically. Therefore it comes important to show and analyze the structure of the parameters and initial states numerically and visually. In this paper, we present a method to draw and visualize such region and structure in the three dimensional space. In general, the projection of the original high-dimensional space to the lower dimension one is required for using visual analysis. Thus, it is convenient that the viewpoint can be moved, without time loss, in the direction where analyst would like to see. As often as the viewpoint moves, the recomputation as quick as possible is required to realize the quick motion of viewpoint. It is, however, obvious that lots of computation and time are taken to draw the region. Therefore, high performance calculators are needed to realize the real-time drawing. In order to overcome this problem, FPGA and cluster-computing is used in this paper. Then it is demonstrated by illustrative examples that FPGA and cluster-computing shows high performance to draw the region of the parameters and initial state in 3D with which z(n+1) = Z(n)(2) + C can be stabilized, that is Mandelbrot and Julia sets, respectively.

关键词： fracta cluster-computing FPGA homogenous transformation 3D graphics

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Motion detection using 3D image histograms sequences analysis

Motion detection using 3D image histograms sequences analysi...

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3rd ieee intelligent data acquisition and advanced computing systems

作者： Iliev, Panayot Tzvetkov, Plamen Petrov, George New Bulgarian Univ Dept Telecommun Sofia 1618 Bulgaria

ISBN: (纸本)9780780394452

This paper presents an unconventional approach for motion detection using 3D image histogram sequence analysis. The idea of this approach is to remove the process of motion estimation into the field of 3D image histogram sequences by analysis of their statistical characteristics. A functional and statistical model of a system for motion detection has been created. This model includes procedures for image processing like: mode fillering for homogenizing the area of objects and its background, defining 3D image histogram sequences as well as procedures for defining statistical characteristics of the 3D image histograms sequences, choice and analysis of criterions for motion estimation. The experimental results prove that the relationship between statistical characteristics of the 3D image histograms sequences and process of motion estimation is a guarantee for creating a reliable and high precision motion detection system as well as for image compression using 3D entropy functions analysis. Such a system can be used for security control of banks, airports, military objects, embassies, shops etc.

关键词： motion estimation detection modeling

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Effects of frame jitter in data acquisition systems

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ieee TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 2005年第6期54卷 2177-2183页

作者： Kalashnikov, AN Challis, RE Unwin, ME Holmes, AK Univ Nottingham Sch Elect & Elect Engn Nottingham NG7 2RD England

This paper focuses on the analysis of frame jitter and the impact of data acquisition architecture on the associated disturbances to the acquired record. Frame jitter leads to the same random shift of all samples in an acquired record. It results in errors in the estimates of time intervals, and makes consecutive records slightly incoherent - compromising data averaging procedures. Two complementary algorithms are developed for the quantification of frame jitter, and their performance has been simulated and verified by experiment. They allow the estimation of the standard deviation of the frame jitter using a low-resolution instrument even in noisy environments. An expression for the minimum value of the standard deviation of the frame jitter has been obtained and verified experimentally for typical architectures of data acquisition systems. It is shown that this value could be reduced by specific improvements in the design of data acquisition system architectures.

关键词： jitter data acquisition architecture frame synchronization

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A self-adaptable method to optimize the performance of frequency-to-code conversion based measurement systems

A self-adaptable method to optimize the performance of frequ...

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3rd ieee intelligent data acquisition and advanced computing systems

作者： Dias Pereira, J. M. Postolache, O. Girao, P. Silva Inst Politecn Escola Super Tecnol Setbal Portugal

ISBN: (纸本)9780780394452

Accuracy, error compensation and simplicity of transducer's communication and interfacing are three important topics in the design and development of any measurement system. Nowadavs, there are a substantial number of transducers and actuators that generate or receive, respectively, frequency modulated signals. The main advantages associated with frequency transducers include its high noise immunity, high output signal power, wide dynamic range and simplicity of signal interfacing and coding [1-2]. The frequency-to-digital conversion (FDC) is easily performed by any microcontroller, or circuits based on commercial off-the-shelf (COTS) components, without need of an analog-to-digital converter (ADC), and the same easiness exists when frequency signals are required for actuators. Eliminating the need of ADCs and DACs reduces the cost of instrumentation and measurement systems and eliminates a large number of error sources associated with these conversion devices. This paper is dedicated to FDC based measurement systems, giving particular attention to calibration issues and se adaptive measurement capabilities that can be used to select a suitable conversion accuracy for a given signal-to-noise ratio. Some simulation and experimental results for a temperature and humidity measurement system will be included as application examples.

关键词： frequency-to-digital conversion calibration error compensation accuracy

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