Domenico Mirri, Gaetano Iuculano, Gaetano Pasini, Pier Andrea Traverso, Fabio Filicori
COMPARISON BETWEEN DIFFERENT SOLUTIONS IN SPECTRUM ANALYSIS

In this paper the conventional equally spaced sampling technique for spectrum analysis is compared to an asynchronous random sampling strategy, which has been previously proposed by authors for other broadband digital instrumentation. To this aim, two new approaches to the performance analysis are exploited, both being characterised by the fact that no classical DFT algorithms are applied. In the first method, the analytical expression for the estimate of signal harmonic components is defined as a direct approximation of the Fourier series coefficients and the parameters that characterise the measurement accuracy associated with the considered sampling strategy are deduced. Following the second approach, the spectral component estimates are treated as random variables, due to the presence in their operative definition of unknown parameters that can be interpreted as stochastic. The expected value and variance are deduced for each harmonic estimate, in order to compare the properties of the two sampling strategies. Simulation results are proposed in order to validate the theoretical findings, showing an excellent agreement.

Maurizio Caciotta, Michela Cristiani
NEURAL-LEXICAL CLASSIFICATION OF POWER QUALITY INSTRUMENTATION MULTIPLICITY

The problem of perceived electrical power quality by users of the Little Medium Enterprises (LME) is settled and matched with the difficulty to individuate the correct instrumentation that is able make their satisfaction. The exorbitant quantity of instruments that are on the market, that, the builders assure, measure power quality, cannot be completely managed by operators. The paper present a system based on automatic lexical procedure that read the manuals and extract the information that can be properly managed by a Kohonen non supervised neural network to obtain an optimal inner classification in view to cross data with an inquiry on effective perceived quality by users.

Dave Coombes
IMPROVING ACCURACY OF POWER AND POWER QUALITY MEASUREMENTS

To calibrate power and power quality measurement instruments such as flicker meters or harmonic measurement devices, several alternative techniques are generally used or proposed:
• Using a reference device to make measurements which can be compared against those made by the UUT.
• Applying variable loads to a static, impedance loaded power line to induce required conditions.
• Generating the required signals with a precision signal source.
This paper discusses the third option. There are a number of benefits to this approach, as well as a number of difficulties to overcome and decisions to be made to implement it effectively.

Uwe Frühauf, Hellmut Leuterer
DESIGN-FOR-TESTABILITY IN EMBEDDED MEASUREMENT SYSTEMS

Test and self-diagnosis are important for the reliability of embedded measurement systems. For such mixed-signal systems it was introduced any special methods of design-for-testability. This paper will discuss any problems of possible structures by using the analogue Boundary-Scan method and its implementation.

Mitsuo Matsuda, Takahiro Arita, Susumu Sakano
A BASIC RESEARCH FOR DISCRIMINATION OF LIVING BODY TISSUES USING TACTILE SENSOR

It is dispensable to develop the discriminating method of the human body tissues for the automation of the operation using robots. The piezoelectric elements are used as the sensor to measure the qualities of the living body. The discrimination for various meats as the living body is tried using the developed tactile sensor. It is shown that the discrimination among the living tissues is possible using the proposed tactile sensor.