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A LabVIEW-based electrical bioimpedance spectroscopic data interpreter (LEBISDI) for biological tissue impedance analysis and equivalent circuit modelling

is developed to collect the impedance data, it is found essentially required to be complemented by any software program or virtual instrumentation such as LabVIEW (Laboratory Virtual Instrument Engineering Workbench) [ 51 ] for impedance data analyzing. Here, we developed a LabVIEW-based electrical bioimpedance spectroscopic data interpreter (LEBISDI) for tissue impedance analysis in medical, biomedical and biological applications by extracting the equivalent circuit parameters of biological tissues using their Nyquist plots. We tested and calibrated the LEBISDI

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The Impact of the Implementation of Edge Detection Methods on the Accuracy of Automatic Voltage Reading

, E.S., Berger, B.J., Wirtz, M.J. (1984). Machine vision applied to vehicle guidance. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-6 (7), 820-826. [5] Lin, W.C., Dubes, R.C. (1983). A review of ridge counting in dermatoglyphics. Pattern Recognition, 16, 1-8. [6] Szlachta, A., Sidor, K. (2014). A laboratory stand for automatic reading of the value measured by an analog meter. Measurement Automation Monitoring, 60 (8), 548-551. [7] Galabov, K.S. (2012). Application of the NI LabVIEW in the

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Generation of Long-time Complex Signals for Testing the Instruments for Detection of Voltage Quality Disturbances

signal generator and detector platform. Energy Procedia , 16B, 1380-1385. [8] Kumar, V., Kaur, M. (2015). Power quality event generation in MATLAB/Simulink environment. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering , 4 (7), 6055-6059. [9] Saxena, R., Swami, A.K., Mathur, S. (2012). A power quality signal generator in LabVIEW Environment. In International Conference on Advances in Electronics, Electrical and Computer Science Engineering - EEC 2012 , 36-39. [10] Zhu, W., Ma, W.Y., Gui, Y., Zhang

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Real Time Monitoring and Automatic Regulation System for Metalworking Fluids

Abstract

A real-time monitoring and regulation system for metalworking fluids is being constructed to be installed in the Centre of excellence of 5-axis machining at the Faculty of Materials Science and Technology in Trnava. The article is focused on the description of the main components of the monitoring system and preliminary characterization of the software utilized in the regulation. The monitoring system will contain four probes to record real time values of pH, conductivity, temperature and concentration. After processing of recorded data by the LabVIEW software, an adjustment of the Metalworking fluid in the reservoir tank will be realized by the regulation part of the proposed system to optimum properties of the fluid, by adding water or concentrate. The designed device will provide an easy system which will control the quality of used metalworking fluid during its lifetime and maintain it on its optimum condition without human operator’s assistance.

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Design of MEMS accelerometer based acceleration measurement system for automobiles

Abstract

Design of an acceleration measurement system using a MEMS accelerometer to measure acceleration of automobiles in all the three axes is presented. Electronic stability control and anti-lock breaking systems in automobiles use the acceleration measurements to offer safety in driving. The system uses an ARM microcontroller to quantize the outputs of accelerometer and save the measurement data on a microSD card. A LabVIEW program has been developed to analyze the longitudinal acceleration measurement data and test the measurement system. Random noises generated and added with measurement data during measurement are filtered by a Kalman filter implemented in LabVIEW. Longitudinal velocity of the vehicle is computed from the measurement data and displayed on a graphical chart. Typical measurement of velocity of a vehicle at different accelerations and decelerations is presented.

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CAN Network Based Longitudinal Velocity Measurement Using Accelerometer and GPS Receiver for Automobiles

A design of Controller Area Network (CAN) based longitudinal velocity measurement system using MEMS accelerometer and GPS receiver is presented. CAN is a serial communication protocol which efficiently supports distributed control system with high level of security. The system consists of a master node and a slave node built around LPC1768 and LPC2129 microcontrollers respectively. The master and slave nodes are linked with CAN bus. The slave node gets velocity data from GPS receiver and transfers to the master node. The master node samples the accelerometer output, and saves the sampled data and the velocity data received from the slave node on a microSD card. A LabVIEW program has been developed to study the measured parameters in offline by applying a Kalman filter and computing the estimate of longitudinal velocity. Typical measurements with the present system in a standard driving maneuvers and computation of estimate of longitudinal velocity using the LabVIEW program are presented. The measurement system produces comparable results with the conventional meter.

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Design and Development of ZigBee Based Instantaneous Flat-plate Collector Efficiency Measurement System

Design and Development of ZigBee Based Instantaneous Flat-plate Collector Efficiency Measurement System

Computing the efficiency of flat-plate collector is vital in solar thermal system testing. This paper presents the design of ZigBee enabled data acquisition system for instantaneous flat-plate collector efficiency calculation. It involves measurement of parameters like inlet and outlet fluid temperatures, ambient temperature and solar radiation intensity. The designed system has a base station and a sensor node. ZigBee wireless communication protocol is used for communication between the base station and the sensor node for wireless data acquisition. The wireless sensor node which is mounted over the collector plate includes the necessary sensors and associated signal-conditioners. An application program has been developed on LabVIEW platform for data acquisition, processing and analysis and is executed in base station PC. Instantaneous flat-plate collector efficiency is computed and reported.

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Particle Accelerator Focus Automation

Abstract

The Laboratório de Aceleradores e Tecnologias de Radiação (LATR) at the Campus Tecnológico e Nuclear, of Instituto Superior Técnico (IST) has a horizontal electrostatic particle accelerator based on the Van de Graaff machine which is used for research in the area of material characterization. This machine produces alfa (He+) and proton (H+) beams of some μA currents up to 2 MeV/q energies. Beam focusing is obtained using a cylindrical lens of the Einzel type, assembled near the high voltage terminal. This paper describes the developed system that automatically focuses the ion beam, using a personal computer running the LabVIEW software, a multifunction input/output board and signal conditioning circuits. The focusing procedure consists of a scanning method to find the lens bias voltage which maximizes the beam current measured on a beam stopper target, which is used as feedback for the scanning cycle. This system, as part of a wider start up and shut down automation system built for this particle accelerator, brings great advantages to the operation of the accelerator by turning it faster and easier to operate, requiring less human presence, and adding the possibility of total remote control in safe conditions.

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The Evaluation of Expanded Uncertainty of Measurement Results in Direct Measurements Using the LabVIEW Environment

References Guide to the Expression of Uncertainty in Measurement. (1995). International Organization for Standardization. Geneva. LabVIEW User Manual. (1999). National Instruments Corporation. Wells, L. K., Travis, J. (1997). LabVIEW for Everyone. New York: Prentice Hall. LabVIEW - Measurement Manual. (2000). National Instruments Corporation. Sokoloff, L. (2004). Applications In LabVIEW. New Jersey: Prentice Hall

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Development of a Gait Recognition System in NI LabVIEW Programming Language

References [1] Viktor D.: Optikai alapú Motion Capture rendszer. 2011. 5, 7–9. [2] Boyd J. E., Little J. J.: Biometric Gait Recognition. Springer Verlag Berlin Heidelberg 2005, 19-42. [3] Salánki D., Sarvajcz K., Husi G.: Járásfelismerés fejlesztése NI LabVIEW környezetben . Debreceni Egyetem Műszaki Kar, Mechatronikai mérnök BSc, szakdolgozat, 2018. [4] Salánki D: Járásfelismerés fejlesztése NI LabVIEW környezetben . Debreceni Egyetem Műszaki Kar, Kari TDK, Debrecen, 2017. [5] Fogel I., Sagi D.: Gabor filters as texture

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