The paper deals with the concept of autonomy of electrical systems, which is becoming more and more present, in the context in which the electric-non-electric relation existing on the market is constantly changing in favor of electricity. The factors influencing this trend come from imposing the principles of Sustainable Development, the exhaustiveness of fossil forms of energy, technological advances in the electrical and electronic components industry and their connection with computers. Evolution of Smart Grid, Smart Grid, Smart City, Smart Building, Smart Transport, etc. provides a global electronic system that will power and control most of the economic activity.

This paper presents an applicative study designed to analyze PV power system energy installed at the UVT Campus' energy autonomy. The case study, analyzes the results obtained from the operation of the pilot building of the Institute of Multidisciplinary Research for Science and Technology (ICSTM). This building was designed and built according to worldwide directions in the areas of Near Zero Energy Building (nZeb) and buildings with scientific research laboratories specifics. The particular / specific problem, both at the constructive and installations levels, of great complexity, had been assessed and dimensioned at the level of energy balance with energy input obtained through Building Integrated Photovoltaic's (BIPV) technologies. The experimental results obtained demonstrate the achievement of very high levels of efficiency and economy in 2017 compared to the previous baseline year. Therefore, by consuming more efficiently and improving the PV absorption efficiency, savings of ~ 7800 Eur / 33% less energy absorbed from the national network (SEN) were achieved.

Digital mammograms are a useful tool for breast cancer detection. The quality of digital mammogram image can have a negative effect on the computer-aided diagnosis system. We investigate the use of automatic image thresholding methods for microcalcification detection in mammographic images. Experimental results on the BI-RADS 4 images dataset confirm the proposed approach.