In the present paper is presented a method for on-line measurement using a complex system for environmental monitoring whit a prototype data acquisition board. A study for Taguchi-type gas sensor using the data acquisition board will be performs.

This paper presents a smart sensor designed for oil-on-water thickness and water conductivity measurements. Basically, the proposed sensing devices include a capacitive element used to measure oil thickness and a conductivity element to measure water conductivity. Temperature compensation of measured values is also provided by including an additional temperature sensor in the system. The main characteristics of the smart sensor system include pulse-width modulation of sensors’ output signals, auto-calibration capability and temperature error compensation. Field applications are not restricted to environmental monitoring and can include wastewater treatment plants, oil quality measurement and measurement of oil quality in fluid systems and hydraulic components. Some experimental results are also presented in this paper.

In this work, measurements are given of ohmic resistances in samples of fitted anti-static flooring. The measurement procedures were based on the relevant regulations DIN 51953 and DIN 53482. The measurement values that are shown concern various types of aged anti-static flooring that is commonly found and used in intensive care facilities such as operating theatres, extra care treatment rooms, areas with Computer Tomography systems, etc. Furthermore it presents measurements of new types of anti-static flooring for reasons of comparison. All results are presented in table form and are analysed in detail. The results of all the measurements of this exercise taken into consideration, an attempt is also made to interpret the phenomena that lead to the reduction of conductivity in these materials, and subsequently how these phenomena can be prevented.

Video surveillance systems are consolidated techniques for the monitoring of eruptive phenomena in volcanic areas. Along with this systems, which use standard video cameras, sometimes people working on this field make use of infrared cameras providing useful information about the thermal evolution of the eruptions. The surveillance of the Mount Etna volcano in Sicily, Italy, is in charge of the Istituto Nazionale di Geofisica e di Vulcanologia - Catania site, and a large amount of monitoring systems are installed along the mountain. Data transmission between these devices and the surveillance sites is a serious task, especially when a large transmission band is required. Moreover, in the case of image storing large memorization capabilities are mandatory. In this paper a new methodology is presented, which aims to improve the performances of surveillance systems in terms of transmission band and storing feature; the proposed methodology is based on the real-time thermo graphic analysis of the monitored area which can provide information on the on going activity and adapt the image transmission rate as well.

The task of detecting changes between two image frames is obstructed by the influence of noise and by the existence of ambient illumination variations between the image frames. The former is an inherent property of all electronic imaging devices. The latter appears when changes in camera exposure or white balance settings occur and tends to degrade the efficiency of change detection, if left untreated prior to frame differencing. An additional difficulty lies in the fact that a change detection process is required to accurately detect illumination changes in the presence of both luminance and content changes. In this paper, a luminance invariant change detection method is proposed. It consists of a three-channel brightness correction stage employed for the brightness normalization process and followed by a block-based clustering method, which aims to detect content changes from changes caused by the influence of noise.