In order to calibrate ATE (automatic test equipment) effectively and accurately, in this paper, a calibration strategy design approach based on dependency matrix for ATE is developed. According to the characteristics of information flow and logic relations which the trace chain of ATE included, the dependency matrix is derived to present the causal relationship between out-of-tolerance conclusion and calibration. Two weights are respectively defined using dependency matrix to select calibrations for detection and location of out-oftolerance conclusion. Calibration strategy tree is used for the presentation of the selected calibration operation and its order. With this approach, the calibration efficiency could be improved and the cost could be reduced significantly. Finally, we applied the approach to a practical ATE and the results are analyzed, so as to verify the effectiveness of the proposed approach.

The aim of this paper is to propose an adequate design of coupling circuit for narrowband powerline channel (PLC) characterization for frequencies lower than 500 kHz. This interface filters 50/60Hz mains signal while avoiding damages of measurement equipment and/or any connected analog front end for PLC signal transmission. An experimental characterization setup is also described. Simulated and experimental results for different load conditions are performed for transmission and reception direction showing a small attenuation less than 1 dB for load impedances higher than 10 %Omega;.

This paper deals with the classification and parameter estimation of frequency-shift-keying (FSK) signals that are acquired using a compressive sampling approach. Such a technique allows reducing the sampling frequency needs, as the FSK signals are compressible in the frequency domain; the spectrum of FSK signal is sparse, being concentrated to a finite number of harmonics which depend on the modulation order. The classification and parameter estimation rely on the first-order cyclostationarity. The proposed method has been implemented in GNU Octave, and validated in simulation.

The paper presents definitions and characteristics of the sensors and transducers used in electrical measurement of mechanical quantities, with emphasis on related energetical and informational processes that conjointly take place within them. Various aspects of the energy information conversions are attentively treated, constituting, together with several improved representations, a significant contribution to understand the electrical measurements. Finally, an original application is described: a multicomponent strain gauged balance illustrating the complexity of information transducer (IT) process in order to transform the aerodynamic loading into precisely defined electronic output signals.

Sensor systems and smart networks devoted to environmental supervision have today assisted the analysis of primal processes and they have also provided vital hazard early warnings. At the same time the use of environmental energy is now rising up as a potential energy source dedicated to embedded and wireless computing systems where manual recharging and/or replacement of hundreds or even thousands of batteries on a regular basis is not practical. This paper presents and illustrates SENNO (SENsor NOde), a multi-parametric sensor node that intelligently manages energy transfer for perpetual operation without human intervention during air quality monitoring. The overall system design and experimental results are presented together with energy budget allocation. Preliminary results demonstrate that, after a tailored calibration process, the presented platform could effectively report and trace air quality levels in a sort of “set and forget” scenario.