Lukáš Kupka, Emmanuel Simeu, Haralampos-G. Stratigopoulos, Libor Rufer, Salvador Mir, Olga Tumová
SIGNATURE ANALYSIS FOR MEMS PSEUDORANDOM TESTING USING NEURAL NETWORKS

The aim of this work is to develop a lowoverhead, low-cost built-in test for Micro Electro Mechanical Systems (MEMS). The proposed method relies on processing the Impulse Response (IR) through trained neural networks, in order to predict a set of MEMS performances, which are otherwise very expensive to measure using the conventional test approach. The use of neural networks allows us to employ a low-dimensional IR signature, which results in a compact built-in test. A MEMS structure combining electro-thermal excitation and piezoresistive sensing was chosen as our case study. A behavioral model of this structure was built using Matlab for the purpose of the experiment. The results demonstrate that the neural network predictions are in excellent agreement with the simulation results of the behavioral model.

Zbigniew Czaja
TESTING OF ANALOG PARTS OF ELECTRONIC EMBEDDED SYSTEMS WITH LIMITED ACCESS TO INTERNAL NODES

A new class of multi-port methods based on extension of input-output two-port methods of soft fault diagnosis of passive elements in analog circuits is presented. It uses accessible internal nodes of the tested analog circuit for additional measurements of circuit time responses. Thanks to this, the fault resolution increases, that is we obtain better fault localization coverage.

Jean-paul Jamont, Michel Occello
HW/SW HYBRID SIMULATION AS PART OF THE DESIGN OF WIRELESS INSTRUMENTATION SYSTEMS: DISCUSSION ABOUT AN EXPERIENCE

This paper introduces hardware/software hybrid simulation of wireless instrumentation systems as a part of their lifecycle. It presents a state of art of simulators which are close to our hw/sw multiagent simulator, the MultiAgent Hardware Software simulator (MASH) and a discussion about our experience in the use of this tool.

Sergey Muravyov, Mun Choon Chan, Maria Khomyakova
PRIORITIZING SENSED DATA TRANSMISSION BY CONSENSUS RELATION IN WIRELESS SENSOR NETWORK

In this work we propose an approach to prioritizing order of transmission of sensed data in wireless sensor network that are very popular in, for example, environmental monitoring. The approach is based on determination of a consensus relation which is in "nearest distance" from all initial rankings shaped by multiple sensors of each network node. Statistically and probabilistically based analytical models useful for assuring network performance and providing reasonable number values n – k and m are proposed and discussed, where n – k is a number of packets transmitted to the sink; n is a number of the network sensor nodes; k is a number of dropped packets due to a congestion; and m is a number of node sensors (or rankings).

J.J. González de la Rosa, A. Moreno, A. Gallego, R. Piotrkowski, E. Castro, J. Vico
A VIRTUAL INSTRUMENT FOR ACOUSTIC TERMITE DETECTION BASED IN THE SPECTRAL KURTOSIS

In this paper we present the operation results of a portable computer-based measurement equipment conceived to perform non-destructive testing of suspicious termite infestations. Its signal processing module is based in the Spectral Kurtosis (SK), whose pattern allows the targeting of alarms and activity signals. The estimator of the SK is proven previously using a set of synthetics. SK enhances the non-Gaussian behavior of termite signals, giving rise to a sensitivity improvement. As a complementary tool, wavelets confirm non-Gaussian behavior of termite emissions by keeping the approximation of the register, with less entropy.