This work proposes a design of a multimodal interface to classify or estimate emotion states. Thus, 7emotions are considered such as:anger, boredom, disgust, anxiety/fear, happiness, sadness and normal.A couple of sensing technologies such as: galvanic skin response (GSR), heart rate (HR), electrocardiography (ECG), oxygen saturation (SpO2) and electroencephalography (EEG)are used to collect psychophysiological signals in relation with emotion state estimation. The International Affective Picture System (IAPS) dataset is used to design the classifier system. Regarding the classification task, a comparison between artificial neural networks (ANN-MLP) and support vector machine (SVM) is presented. The tests were carried out for 20 healthy volunteers ( ) of both genders with age from 23-50 years old. The proposed classifier presents accuracies of 85.71% when using ANN-MLP and 77.14% when using SVM.

This paper presents a MATLAB based graphical interface to evaluate the Bluetooth Low Energy (BLE) CC2650 Sensor Tag. Although this module contains more sensors, this paper considers the movement sensor which is composed of a gyroscope and an accelerometer. This sensor communicates by BLE with a PC that contains a USB BLE Dongle. Our contribution is to implement the application that allows using several scenario tests to evaluate this movement sensor. Thus, the accelerometer can be used to measure the pitch and role angles when the sensor is not moving linearly. The gyroscope is used to measure these angles as well as the yaw angle when the sensor is performing a linear movement. The graphical interface allows scanning of the BLE devices, establishing the link with one device, configuring the parameters of the device and displaying the time variation of angular rate, angular position and accelerations among others. There is the possibility of these measurements to be displayed in real time or off line, when all the data were acquired and processed. In this way the sensor can also be used to determine the trajectory of a person in an indoor environment.

World economy is closely related to energy and to how it contributes to the modernization of the society, by raising the standard of living and the degree of civilization of the population. In this context, water supply systems are attractive for energy efficiency, occupying an important place in the hierarchy of energy consumers. The purpose of this paper is to present some important aspects of a case study that must be considered in order to respond to specific requirements of water supply systems and it also shows a few measures that can be implemented with or without investments in order to reduce costs and energy consumption.

The paper proposes a method of designing and calibrating of an adaptive sub-ranging ADC that is robust to both gain errors and offsets of the components of its analog part, which may simplify and reduce the costs of manufacturing of adaptive ADCs. For facilitation of postproduction calibration, we propose a method of measurement of the actual gain and offset of particular analog tracts used in subsequent stages of conversion, that utilizes the subADC already present in the analog part of the adaptive ADC. Efficiency of the proposed approach is discussed and evaluated on the basis of the results of simulation experiments.

The progress in fluorescence microscopy and information technologies have completely transformed the study on living cells improving the capability to quantify, investigate and analyze, in time and space, single phenomena occurring inside and outside cells. We developed an user-friendly Graphical User Interface (GUI) able to extract and analyze ion calcium (Ca²⁺) signals and to understand how they regulate cell behavior and metabolism. The software, named FluoLab (Fluorescence Laboratory), works on acquired confocal fluorescence microscopy images and allows to obtain signals of Mean Fluorescence Intensity (MFI). Afterwards, the fluorescence signals are automatically converted in ion calcium concentration values, [Ca²⁺], expressed in microMolarity (µM), by using the specific dissociation constant K_d for each kind of fluorescent probes chosen for the experiments. It is possible to analyze contemporaneously more than one object through the Region Of Interest (ROI) defined around them and to follow them in time. FluoLab can also show a normalization of the obtained data, compensating automatically the image background and generating a file that can be used for a fast data analysis.