2005 IEEE Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications

The work described in this paper aims at supporting the development of distributed measurement systems using the service oriented computing paradigm. A general architecture -MADAMS- was designed and implemented which allows highly dynamic measurement services to be deployed, i.e. published, retrieved and exploited in a networked context. MADAMS depends on Java/Jini. As a significant application, t... View full abstract»

A Neural Network based system for reconstructing turbulent signals obtained by a Hot Wire Anemometer in the shear layer surrounding a turbulent free yet of air is presented. The flow-field used as work bench presents very complex turbulence dynamics making the measured signals very difficult to predict. The results presented here show a very good agreement in prediction and present a high potentia... View full abstract»

In this paper we present the capability of the beat frequency method to estimate ADC dynamic performance parameters. This task has been done by means of one of the most important dynamic parameter of an ADC - the effective number of bits (ENOB). An algorithm for estimating the ENOB of an ADC tested using the beat frequency method is proposed. Simulations carried out confirm that the proposed algor... View full abstract»

Analysis of existent methods for processing of random processes is presented in the paper. New approach for data processing is proposed that foresees availability of procedures for determination of process type and kind and also deterministic constituent type of random process. The approach gives ability to increase accuracy characteristics of measurement and control systems. Received results are ... View full abstract»

The automotive market is more and more interested in all-electric systems for the execution of the driving commands, i.e. in the so-called Drive-by-Wire (DbW) systems. The communication network of a DbW system is a critical component and, being the traditional field buses used in the cars not suited to highly dependable applications, new communication networks have been devised, built up around pr... View full abstract»

This research paper deals with strategies and algorithms for development of the computational techniques in the field of 3D metrology. Very often a mechanical surface has to be analyzed for presence of either deterministic or random components of the signals while scanning. It is necessary to obtain maximum information on the geometrical errors, as well as about the factors causing certain roughne... View full abstract»

The growing necessity to increase the systems safety during running on board ships has imposed the method of block reserves. In the case of such redundant systems reliability behaviour is described by an assembly of reliability functions. The work presents these functions emphasising the ways to ensure a high reliability of naval equipment. This paper also deals with the problems of establishing t... View full abstract»

In this paper the data acquisition system (DAQ) and metrology verification technique of electrical resistivity tomography system is proposed and investigated. The verification is based on the reference model of resistivity distribution that is constructed as a network of the discrete resistors. Proposed technique permits to verify the DAQ, reconstruction algorithm and approximation effects jointly... View full abstract»

The possibility of having the sensor and the amplifier circuit on the same chip has lead to the achievement of transducers with high conversion efficiency as well as an increase in their range of practical work. In this paperwork, based on the model of dual Hall devices, it is analysed the structure, the operating conditions and are established the response and the supply current related sensitivi... View full abstract»

The paper describes the implementation of a novel approach to ultrasonic ranging systems based on a modified frequency variations monitoring technique. The whole system is developed on a single-chip FPGA, which serves both roles as generator of the specialized signal and as timing analysis hardware in the receiver module. Details of the different tasks and operations which form the structure of th... View full abstract»

The intelligent measuring converters are used for the information input into the technological process control systems. The wide IMC usage in the shields and the desks of the technological process control requires their high time and temperature stability. It is especially important to increase the continuous work duration without any tuning conjugated with the substantial labour and material expe... View full abstract»

Future integrated systems will benefit significantly from the progress in batch manufactured silicon sensors and signal processing techniques. Silicon technologies make possible to produce sensing microdevices combining extreme sensitivity, accuracy and compact devices. Smart sensors on the base of vertical vector Hall effect devices offer a number of benefits including reducing mass, volume and p... View full abstract»

In this article we present a self-organizing hybrid modular approach that is aimed at reduction of processing task complexity by decomposition of an initially complex problem into a set of simpler sub-problems. This approach hybridizes artificial neural networks based artificial intelligence and complexity estimation loops in order to reach a higher level intelligent processing capabilities. In co... View full abstract»

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 t... View full abstract»

In the context of network intrusion detection, we test a lately reported technique which generates a set of fuzzy rules to recognize unknown abnormal patterns using a test- function which we call a-tiny-island-in-a-huge-lake. Our concern is whether or not we can train the system only with a set of already known normal patterns. Yet another of our concern is what happens in an extreme case where a ... View full abstract»