The aim of the paper is to present a data acquisition measurement system and a power quality application developed in the LabVIEW programing environment, for a three-phase electrical system. The acquisition system complies of National Instruments acquisition module and Hall Effect transducers. The developed measuring and analysis system will be used for a future stand alone, low cost, three phase spectral analyzer, and as a didactical application for the laboratory classes in the signal processing discipline taught within the Faculty of Electrical Engineering of Cluj-Napoca. The proposed system will be composed of a three-phase consumer circuit in which the voltage and current of each phase will be acquired. To validate the date acquired and computed a three-phase power quality analyzer will be used. The application will provide the most important parameters in power quality: active, reactive and apparent power on each phase and total, the power factor on each phase and also the total power factor, the instantaneous and the rms values for the voltages and currents on each phase, the total harmonic distortion, the spectrum representation for each voltage and current acquired, the fundamental instantaneous and rms values for each voltage and current, the power factor for the fundamental components on each phase, the displacement angle between each voltage and current, and also the direct, invers and 0 components are computed and display.

The aim of this paper is to present a solution for basic measurements of the electrical networks parameters. The classical measurement procedure, using analog measurement devices, is replaced with a simple modular data acquisition system, based on a signal conditioning module with Hall Effect transducers. Due to the simplicity of the sensorial acquisition module, it is easy to use for single or multiple phase electrical networks. With the aid of a data acquisition board, the signals were transferred to a virtual instrument, which can compute and display specific quantities that are commonly used in electrical networks monitoring and control processes. The circuits presented in this paper were included in laboratory classes like: Electrical Measurements, Instrumentation and Data Acquisitions, Legal and Applied Metrology. Comparative measurements were performed, comparing the results from three different sources: analog devices, oscilloscope, and data acquisition system. Considering the fact that the presented solution is a didactic one, the user interface has an important role, where the students can simulate various practical situations and compare them with the real measured ones.

The current paper presents some basic tools developed in the LabVIEW environment. It is focused on the mathematical formulation and the implementation of the equation. It will show a simple solution developed by the authors for some of the most necessary parameters used in the Power analysis literature, like: determining the fundamental frequency of a signal, linear filtration using DFT, computation of the Total Harmonic Distortion (THD), determining the initial phase of an acquired signal or a method for phase shifting.

The eye is a complex structure, with multiple systems involved in focusing and detecting light. Among them, the retina, an integral component of the central nervous system, is considered the most vital and exhibits the highest metabolic activity among all tissues in the human body. It interacts with light, and excessive exposure, especially to blue light, is prone to produce degeneration, mainly through oxidative reactions. This mechanism is involved in age‐related macular degeneration or diabetic retinopathy. Animal research is important, considering the high prevalence of these diseases; yet noninvasive procedures involving this research are lacking so far. Our objective was to apply an animal model of oxidative stress and monitor the metabolic changes using 11.7‐T ¹ H‐magnetic resonance spectroscopy ( ¹ H‐MRS). We exposed adult rats to high intensity blue light, at 440 nm (6000 lx) and investigated retinal metabolic changes up to 48 h post exposure. The acquired spectrum highlighted the presence of several essential retinal metabolites, including lipids (alkyl chain CH ₂ ), lactate, N ‐acetylaspartate (NAA), glutamate (Glu), choline (Cho), taurine (Tau), creatine (Cre), and glucose (Glc). Blue light induced specific changes, relatable to oxidative stress, and ¹ H‐MRS allowed us to follow the dynamic metabolic changes post exposure. This is the first in vivo spectroscopic study of the retinal tissue in which no animals were sacrificed. To validate the in vivo metabolite assignments, localized ex vivo ¹ H‐MRS was performed on eyes from separate animals that had not been exposed to blue light.