Tatiana Siraya
REPRODUCING KERNEL HILBERT SPACE METHODS IN MEASUREMENT SCIENCE

Basic functional model for random signal is presented for use in measurement theory. That is H(R) - reproducing kernel Hilbert space (RK-space), produced by the correlation function R(s, t) of random process x (t).
RK-space H(R) presents an isomorphic representation of the process x(t). So it provides an adequate mathematical tool for solving several problems, such as linear filtering, extrapolation of random signal, and deterministic signal extraction from noise. Besides, the corresponding RK-norms are useful in metrology for employing as the measurement accuracy characteristics.
As an illustration of the RK-approach, the pseudo-best B-estimates for the deterministic signal extraction from noise are considered.

Vladimir Fetisov
RATIOMETRIC IN-LINE TURBIDIMETERS: PRINCIPLE OF MEASUREMENT AND VARIANTS OF REALIZATION

Various ways to realize ratiometric principle of liquid media turbidity measurement are reviewed. The principle allows to minimize in-line optical turbidimiters errors caused by soiling on windows of irradiators and photodetectors. As traditional as novel solutions are described. An idea to apply artificial neural networks for turbidimeters signal processing is stated. Some own practical results are presented.

Radu Dobrescu, Radu Varbanescu, Ana Lucia Varbanescu
INTEGRATED LEARNING SYSTEM FOR DATA ACQUISITION

The paper presents an enhanced learning and training system in data acquisition. This new method is the result of an interactive process for enhancing the learning activities for the students. The system was built to meet a new concept: "integrated learning", an approach that allows students to exercise their abilities in real applications. These applications are entirely specified, having well-defined constructive structures and well-known finish lines. The hardware platforms are built in layers, the most suitable solution for the multi-field approach. Working like this, the students have the opportunity to work on each level so that their solutions meet the requirements for each part of the application, and also take into account the compatibility restrictions.

Tsunehiko Nakanishi, Takeshi Fujisaki
AN OBSERVATION METHOD OF MOVING OBJECTS ON FREQUENCY DOMAIN

The indirect measurement methods like as image processing measurement are preferably used on the factory automation system because the complex data processing are requested on higher level measurement. On this case, the video system is regarded as the transducer, signal transmitter, signal conditioner and interface unit for a computer, and this system requires low costs by the mass production effect and has easiness of handling. On higher-level measurement, electric quantity must be changed to appropriate projective space though the electric quantity is directly used in the usual measurement such as time domain. The Fourier transformation is an example of the higher-level measurement; and is to change time domain to frequency domain. One of the frequency domain methods to measure object movement using image processing method is shown in this report.

Frank Härtig, Christian Keck, Karin Kniel, Heinrich Schwenke, Franz Wäldele, Klaus Wendt
IMPROVEMENT OF MEASUREMENT ACCURACY BY COMBINED EVALUATION OF CMM AND TRACKING INTERFEROMETER MEASUREMENTS

This paper presents a novel approach to improve the accuracy of coordinate measuring machines (CMM) by integrating a single high precision tracking interferometer (TI) as an additional measurement axis. Improved positions are obtained by a combination of the CMM positions as read from the scales and the distances produced by the TI. Monte-Carlo simulations of length and flatness measurements show that the uncertainties can be reduced considerably by an appropriate configuration. First measurements confirm the results of preliminary simulations.