The main aim of the work is finding a general mathematical model to estimate the moisture content in the soil using seismic waves propagation, when the composition of the media is unknown. Usinf the new mathematical model here presented, the authors are developing a prototype of the sensor that will be able to measure the moisture of the soil usinf both compressional and shear waves velocity measurement.

Amorphous wires are attractive components for sensor and micro-sensor realization. The negative factors that affect the behaviors of these sensor types must be however highlighted and compensated throughout adequate tools. The characteristics of the sensing element can be carried-out starting from the measurement results. A model of a magneto-impedance sensing element is obtained and used for a PSPICE simulation next step. The paper presents the results obtained at radio-frequency, at once with the mathematical modeling of the sensitive part. In addition, there are also the requirements which must be fulfilled in the design of this kind of sensors.

In this article, we apply impedance spectroscopy methodology to analyze the frequency response of as cast CoFeBSi wires in the 100 Hz to 300 kHz frequency range, at 10 mA ac current. Comparative evaluation performed for stressed and unstressed samples reveals major changes in the spectra of internal ac impedance of the wire. Physical concepts and problems of practical significance are discussed on the basis of the results.

Accumulated clock signal jitter is a significant source of errors in many measurement systems. In this paper a new method of estimation of clock signal jitter will be discussed. This method enables to calculate an accumulated jitter and time-interval error [TIE] as a function of the clock cycles. The time-interval measurement system [TIMS], accommodated for jitter measurements and their application for estimations of jitter parameters will be also presented and discussed.

The optimal design of an adaptive wavelet filter based on lifting scheme by means of evolutionary cultural algorithms is proposed, with the aim of filtering data for dynamic corrosion monitoring. First, in corrosion rate measurement through electrochemical impedance spectroscopy, the problem of uncertainty due to noise arising from underground disturbances in buried structures is stated. Then, the proposed adaptive filtering procedure is illustrated. Finally, the results of the experimental validation on two different corrosion case studies are highlighted.