Nowadays the Earth Observation sensors provide images containing detailed information relevant for applications related to hazard or security matters. Unfortunately, image information mining, its interpretation and transformation in products useful to the rescue or decision teams is still a laborious task, effectuated many times by visual inspection and manual annotations of the images, thus not appropriate to react in prerequisite time. This paper presents a data analysis processing chain, which by interactive operations, enables analysis and interpretation of large volumes of images with high accuracy, flexibility and much faster than any existing methods.

In our paper we present a laboratory measuring system that students can use to learn different topics related to temperature and humidity sensors. The system consists of three different temperature sensors and a temperature/humidity sensor, all controlled with the aid of a development board based of the PIC18F452 microcontroller. Using this system student can learn: use of integrated temperature sensors, software implementation of different communication interfaces (I²C, 1-wire, CMOSens), distributed measurement systems based on these interfaces, microcontroller based instrumentation, data logging and control of measurement systems.

This paper focuses on a description of the comfort by means of the temperature-humidity comfort index. In the attempt to describe this complex phenomena, those related to the human perception, for temperature and humidity estimation, we propose to use words of natural language. This linguistic description is not so accurate and also subjective than the numeric one obtained through usual sensors, but it is easily understood by human beings even if the concept is abstract due to it geographical context dependence. Finally, an aggregation of temperature and humidity measurements performed by a virtual symbolic sensor is presented for the qualification of the comfort inde

This paper presents a multi-path scattering turbidity sensing architecture that uses two bifurcated and two simple optical fiber bundles. Two optical infrared (IR) emitters and four receivers are coupled to the optical fibers assuring the IR excitation of the measured medium and the IR light scattering detection. The proposed turbidity architecture is rugged and permits to evaluate turbidity using IR light scattering and transmission measuring architectures with improved signal-to-noise ratio. A multifunction microcontroller based I/O interface is connected to a LabVIEW HMI interface (NI TPC-2006) that performs the turbidity sensing channel acquisition and control, and turbidity direct digital read-out based on a neural network. Additional wireless communication capability (IEEE802.11g) is included in the system.

In this paper we present the results of the radio-frequency electromagnetic field measurements both indoor and outdoor of some buildings situated near broadcastings towers. The aim of our measurements is the evaluation of the electromagnetic shielding proprieties of the buildings in view of the characterization of the electromagnetic field propagation through buildings’ walls and to estimate the electromagnetic environment in these specific areas.