In this study the performance of a built Dye-Sensitized Solar Cell-Thermoelectric Generator system is investigated using conventional statistical analysis. The two main questions are (i) Whether there is a significant difference between the performance of the Dye-Sensitized Solar Cell and the performance of the Dye-Sensitized Solar Cell-Thermoelectric Generator hybrid system. (ii) Whether there is a significant relationship between the surface temperature and the performance of the hybrid system. If there is any significant relationship, how many temperature-difference it occurs. In order to achieve the above-mentioned aim, in case of the (i) independent samples T-test has been used and in case of (ii) Analysis of variance analysis have been used. According to the results, there is a significant difference between the performance of the Dye-Sensitized Solar Cell and the performance of the Dye-Sensitized Solar Cell-Thermoelectric Generator hybrid system. Because of the violation of the normality and the violation of the homogeneity, Welch-probe was applied and according to the results, there is a significant relationship between the performance of the hybrid system and the surface temperature of the solar cell. Bonferroni Post-Hoc test was applied, and the results showed that there is significant different between the maximum power output values of the hybrid system for each temperature.
This article presents a solution to obtain adequate ECG signals using low-cost devices. We believe that a pilot ECG examination in the home environment can detect certain forms of arrhythmias. If arrhythmias are diagnosed and treated in time, a person can completely avoid serious health problems. Performing an ECG examination at home is hindered by the high cost of professional equipment. That’s why some low-cost devices capable of recording an ECG signal have drawn our attention. The results of our research showed that an affordable ECG can be recorded at home using a 1-lead ECG machine.
Object localization is widely used today in various areas such as transport, and industry, but also in the field of wireless sensor networks (WSN). In the article, the authors focus on the possible use of WSN networks, which are made up of sensors capable of measuring certain environmental parameters (pressure, temperature, CO 2 value, etc.) in connection with their location. The article describes individual methods used in WSN networks and creates an overview of them. At the same time, it describes the proposal for the practical creation of a WSN network using a set of sensors from the company LIBELIUM and suggests the possibilities of data analysis of data obtained from sensors that detect Bluetooth signals and Wi-Fi signals. The aim of the article is to describe the solved problem associated with the creation and testing of a custom system for use in applications related to the protection of the health of persons that can be located in a given monitored environment.
First building comfort, energy and environmental design optimization (BECEDO) research efforts are dated back to the early 70’s 1 , however most in-depth analysis is carried out in non-architectural fields (IT, mathematics and operation technologies). Among building design optimization studies, most attention is focussed on the application of active (mechanical) design variables (HVAC systems), renewable energy harvesting and supply system variables and the combination of active and passive (architectural) design input variables 2 . Regarding the passive design variables, which should be determined for an optimal comfort-energy, as well as environmental impact balance performance, only the numerically easy to beparametrized design variables are taken into consideration, such as opaque and transparent envelope structures and materials, e.g., the thicknesses and thermal properties of the insulation and walls, as well as wall-window ratios (WWR), orientation (ORI), materials, structures (STR) and shading for instance 3 . Though building shape has significant impact on building operation cost 4 , i.e., up to 60-80% energy conservation 56 and up to 80% LCA savings are possible, the investigations dealing with building geometry as a design variable (BGDV) in the BECEDO process is still in its infancy 7 . Estimations 8 predict 60-70% energy consumptions reduction in HVAC and artificial lighting system improvements and up to 20% savings by using intelligent automation systems, however the energy saving potential of optimized space organization and complete building shape design is still missing. Another issue evolves after analysis of the existing BECEDO literature: the stochastic behaviour of the most most frequently applied evolutionary technique (generic algorithms GA) randomly moves in the search space and only near optimum solutions delivers.
Magnetometer-based localization is a challenging task both in indoor and outdoor applications since their reliability depends on the environmental characteristics. The obtained geomagnetic field enables the estimation of both orientation and position if proper calibration and data fusion with inertial measurement units (IMUs), GPS and radio modules are executed. However, the distortions by hard and soft iron effects of both metallic objects and building structures requires additional data processing steps to obtain usable measurement data. This paper addresses the applicability of magnetometers for indoor mobile robot localization purposes. A measurement method is elaborated, which obtains the metallic objects-related disturbance characteristics with the help of both a robotic arm-based setup, which simulates the movement of the mobile robot, and data acquisition steps for the calculation of induced effects of disturbing objects. The experimental setup is applied to investigate four scenarios, namely, measurements with one simpler disturbing object either on the right or left side of the robot, with simpler disturbing objects on both sides, and with one complex object on one side of the robot. To extract the effect of the objects, the measurements collected with no additional object are subtracted from the measurements in the case of each scenario. The obtained measurement results clearly validate that incorporating the measurements of the undisturbed scenario enables the obtainment of the effect of disturbing objects. These results form the basis for the development of intelligent fusion algorithms of magneto-inertial sensors for mobile robot localization tasks.
