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Journal articles on the topic 'And LABVIEW'

Author: Grafiati

Published: 4 June 2025

Last updated: 23 June 2025

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1

Su, Liang Yu. "LabVIEW Applications for Fiber-Optic Remote Test and Fiber Sensor Systems." Applied Mechanics and Materials 610 (August 2014): 216–20. http://dx.doi.org/10.4028/www.scientific.net/amm.610.216.

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This paper demonstrates applications of LabVIEW in automatic test measurement of fiber optic system.First,the LabVIEW applications in fiber optic system and the basics of instrument connectivity are presented.Then,the aspects of hardware communication to external instruments through GPIB and serial interfaces are analyzed.Next,self-calibrating automated characterization system for depressed cladding applications is demonstrated utilizing the LabVIEW’s GPIB interface. Results of the manual and automatic measurements and the analysis of the measurement trace obtained from the optical time domain reflectometer (OTDR) are shown.In the end,two applications of LabVIEW in fiber optic sensor system are discussed.

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2

Kodosky, Jeffrey. "LabVIEW." Proceedings of the ACM on Programming Languages 4, HOPL (2020): 1–54. http://dx.doi.org/10.1145/3386328.

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3

Tyagi, K. "Industrial Pollution Monitoring System Using LabVIEW and GSM." International Journal for Research in Applied Science and Engineering Technology 11, no. 12 (2023): 1276–78. http://dx.doi.org/10.22214/ijraset.2023.57580.

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Abstract: This paper investigates how, in the face of growing industrialization, LabVIEW and GSM technology revolutionize pollution monitoring. Over the last ten years, there has been a 30% increase in LabVIEW's data capabilities and a 25% increase in GSM's remote access. It charts the development of monitoring systems and emphasizes how LabVIEW responds to pollution events 40% faster and how remote interventions can reduce downtime in GSM by 20%. When combined, they offer a 15% increase in anomaly detection accuracy.

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Ambala, Hemanth Kumar. "NOVEL APPROACH TO DESIGN IOT BASED INTELLIGENT INDUSTRIAL LOAD MANAGEMENT SYSTEM." International Journal of Students' Research in Technology & Management 3, no. 3 (2015): 289–92. http://dx.doi.org/10.18510/ijsrtm.2015.334.

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This paper introduces a novel approach to integrate IOT with an intelligent Industrial Load Management System. A virtual control system is designed to balance the supply of electricity on the network with the electrical load of an industry by recovering heat from hot chemical gases to produce electricity and by disconnecting the low priority loads automatically during power shortage periods. This approach takes advantages of the LabView’s better hardware support, rapid configuration, MATLAB’s ability to perform complex calculations and newer innovations helping in cheaper ways of realising internet connected devices. An intelligent power generating system which works on waste heat recovery mechanism comprising a boiler turbine system is modeled using MATLAB and a human machine interface is developed using LabVIEW. The system that is modeled in MATLAB can be simulated by LabVIEW Simulation Interface Toolkit (SIT) toolkit. The SIT provides a seamless integration between MATLAB/Simulink and LABVIEW.

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PAWŁOWSKI, Paweł. "Akademia LabView." PRZEGLĄD ELEKTROTECHNICZNY 1, no. 8 (2018): 73–76. http://dx.doi.org/10.15199/48.2018.08.19.

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6

Yao, Kai-Chao, Wei-Tzer Huang, Teng-Yu Chen, Cheng-Chun Wu, and Wei-Sho Ho. "Establishing an Intelligent Emotion Analysis System for Long-Term Care Application Based on LabVIEW." Sustainability 14, no. 14 (2022): 8932. http://dx.doi.org/10.3390/su14148932.

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In this study, the authors implemented an intelligent long-term care system based on deep learning techniques, using an AI model that can be integrated with the Lab’s Virtual Instrumentation Engineering Workbench (LabVIEW) application for sentiment analysis. The input data collected is a database of numerous facial features and environmental variables that have been processed and analyzed; the output decisions are the corresponding controls for sentiment analysis and prediction. Convolutional neural network (CNN) is used to deal with the complex process of deep learning. After the convolutional layer simplifies the processing of the image matrix, the results are computed by the fully connected layer. Furthermore, the Multilayer Perceptron (MLP) model embedded in LabVIEW is constructed for numerical transformation, analysis, and predictive control; it predicts the corresponding control of emotional and environmental variables. Moreover, LabVIEW is used to design sensor components, data displays, and control interfaces. Remote sensing and control is achieved by using LabVIEW’s built-in web publishing tools.

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Hao, An Feng, Ru Yi Wang, and Xu Ming Ye. "Design of Soil Pollution and Restoration Simulation System Based on LabVIEW and PLC." Applied Mechanics and Materials 529 (June 2014): 693–96. http://dx.doi.org/10.4028/www.scientific.net/amm.529.693.

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With the world's population growth the industrialization process and the unreasonable use of the environment,soil pollution problem has been increasingly prominent, the soil will become another shortage resource. This article introduces akind of soil pollution and restoration simulation system,the whole system simulates proliferation, migration and transformation process of different pollutants in different soil types, different hydrogeological environment three-dimensional space. The systerm also uses physical and chemical, biological and other repair method to repair contaminated soil. The use of LabVIEW graphical programming language to design PC man-machine interface looks simple and intuitive. Based on LabVlEW serial communication function, we develop the LabVIEW and PLC communication driver and achieve the real-time monitoring of the whole system ,which provides equipment and data support for the pollution of the soil.

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8

Kiss, János Máté, Péter Tamás Szemes, and Petra Aradi. "Sliding mode control of a servo system in LabVIEW: Comparing different control methods." International Review of Applied Sciences and Engineering 12, no. 2 (2021): 201–10. http://dx.doi.org/10.1556/1848.2021.00250.

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AbstractThe main contribution of this paper is to present the efficiency of LabVIEW in simulating and controlling a servo system with conventional methods (PI and PID control), as well as sliding mode control (SMC). The control of an actual system with LabVIEW and NI hardware provides an efficient implementation platform, using both LabVIEW’s graphical programming and the text-based m-file language MathScript RT. Both programming environments and the connection to NI hardware are relatively easy to use, therefore, ideal for education. The graphical “coding” can help novice users to see through their algorithms. However, the mathematical background of sliding mode control is difficult compared to conventional PID control; the SMC implementation for practical uses can be quite simple, as the presented example demonstrates. The first didactic step is a simulation with the Control Design and Simulation, as well as MathScript RT Modules. Then a myRIO Student Embedded Device is used to control a real servo system. LabVIEW code can be compiled to run on computers, (soft) real-time targets, and FPGAs (hard real-time targets), so students can easily and quickly step up to real industrial measurement and control problems without the need to learn new programming environments.

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9

Essick, John, and John H. Scofield. "Advanced LabView Labs." American Journal of Physics 68, no. 6 (2000): 583–84. http://dx.doi.org/10.1119/1.19491.

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10

Maji, A. K., and P. Montemerlo. "INTERFEROMETRY WITH LABVIEW." Experimental Techniques 27, no. 1 (2003): 41–44. http://dx.doi.org/10.1111/j.1747-1567.2003.tb00099.x.

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11

Miao, Man Xiang. "Database Visiting Method and Application in Electronic Power Monitor System by Using LabSQL in Virtual Instrument LabVIEW." Applied Mechanics and Materials 20-23 (January 2010): 110–15. http://dx.doi.org/10.4028/www.scientific.net/amm.20-23.110.

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Electric power quantity monitor is a premise to provide high-quality electric power, therefore, on the electric power market; it has appeared much more electric power quantity monitoring system based on virtual instrument design technology such as software of LabVIEW. We aims at calculator data processing shortcome of LabVIEW, which is inconvenience in using LabVIEW during databases interface realization. This paper mainly introduces how to realize interface design between LabVIEW and database. As well as introducing ADO technique how to carry out LabVIEW visiting databases. Because design transplantation is stronger, so, system has broad function and application foreground.

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12

Chen, Wei, Long Chen, and Ming Li. "Design of Power Quality Management Software Based on Virtual Instrument and Oracle." Applied Mechanics and Materials 427-429 (September 2013): 2441–44. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.2441.

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This paper presents a software design useful for power quality analysis and data management. The software was programmed in LabVIEW and Oracle, running on Windows in a regular PC. LabVIEW acquires data continuously from the lower machine via TCP/IP. Using its database connection toolkit, LabVIEW accesses to Oracle to stores and retrieve the power quality data according to different indicators. A friendly GUI was built for data display and user operation, taking advantage of the powerful data-handling capacity of LabVIEW and its rich controls. Moreover, Excel reports can be exported using report generation toolkit in LabVIEW. The software greatly improves the data analysis and management capacity.

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Zhang, Huan, and Li Qi Wang. "Design of Controlling Program of the Humanoid Robot NAO Based on LabVIEW." Applied Mechanics and Materials 484-485 (January 2014): 562–69. http://dx.doi.org/10.4028/www.scientific.net/amm.484-485.562.

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In order to control robot NAO more easily with LabVIEW, a LabVIEW-based robot controlling program was designed for development. In this paper, by the means of utilizing the VI Scripting, it enabled to generate the LabVIEW-based NAO redevelopment package quickly, and explained how to use the development kit. Through this program, the NAO robot could be seamlessly connected with LabVIEW. Thus, through the graphical development environment, the engineers could manipulate the modules of NAO robot at ease, including the action, voice, vision and other modules. Finally, the designed LabVIEW program simplified the complicated programming and improved the development efficiency dramatically. Besides, it could be widely used in the .NET development..

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14

Ţepelea, L., I. Gavriluţ, O. Neamţu, E. Gergely, and A. Gacsádi. "A LabVIEW-Based Soundcard Interface for E-Laboratory." International Review of Applied Sciences and Engineering 2, no. 2 (2011): 137–42. http://dx.doi.org/10.1556/irase.2.2011.2.10.

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Abstract The purpose of this paper is to present a way to develop a technical e-laboratory for students interested in their continuing training. It presents hardware and software aspects regarding design of a LabVIEW-Based Soundcard Interface for E-Laboratory. To realize an e-learning laboratory we used web publishing tool from LabVIEW and the connection between server and remote computer is realized with a VPN software to pass through any router or a NAT device and realise a secure tunnel between remote computers and LabVIEW web-server. Also, the web publishing tool from LabVIEW allows concurrent access from different remote computers to e-laboratory. For example paper offers a LabVIEW application for acquisition and generation of signals using the sound card.

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15

Tao, Fei, Ping An Mu, and Shu Guang Dai. "The Research on the Motion Control of Industrial Robots Based on LabVIEW." Applied Mechanics and Materials 433-435 (October 2013): 117–20. http://dx.doi.org/10.4028/www.scientific.net/amm.433-435.117.

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This paper puts forward a method to control the industrial robots based on the NI Corporations LabVIEW virtual instrument technology. By designing the communication protocol between the LabVIEW software program on PC and industrial robots, the LabVIEW program can take the control of industrial robots by using RS232 serial ports, including the operation instructions' transmission, the feedback of the robots' running, and the data exchange between the two. The result shows that can effectively realize the motion control of industrial robots based on LabVIEW.

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16

Blagojević, Milan. "Realizacija LabVIEW programa korišćenjem objektno orijentisanog programiranja." Zbornik radova Fakulteta tehničkih nauka u Novom Sadu 35, no. 09 (2020): 1523–26. http://dx.doi.org/10.24867/09be04blagojevic.

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Tema ovog master rada je korišćenje savremenih alata iz softverskog inženjeringa u cilju realizacije kvalitetnih programa za merenje i analizu signala u LabVIEW programskom paketu. Ova sinergija je nastala iz tesnog povezivanja metroloških i informacionih tehnologija prvenstveno korišćenjem PC računara u mernim aplikacijama. U radu će biti prikazano menjanje svojstava (properties) elemenata LabVIEW programa, zatim generisanje i korišćenje DLL biblioteka u LabVIEW programu i na kraju korišćenje ActiveX komponenti u LabVIEW programu. Takođe će biti prikazan i jedan program koji na jasan način prikazuju korišćenje ovih funkcija.

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17

Yao, Kai-Chao, Wei-Tzer Huang, Hsi-Huang Hsieh, et al. "Deep Learning-Based Speech Recognition and LabVIEW Integration for Intelligent Mobile Robot Control." Actuators 14, no. 5 (2025): 249. https://doi.org/10.3390/act14050249.

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This study implemented an innovative system that trains a speech recognition model based on the DeepSpeech2 architecture using Python for voice control of a robot on the LabVIEW platform. First, a speech recognition model based on the DeepSpeech2 architecture was trained using a large speech dataset, enabling it to accurately transcribe voice commands. Then, this model was integrated with the LabVIEW graphical user interface and the myRIO controller. By leveraging LabVIEW’s graphical programming environment, the system processed voice commands, translated them into control signals, and directed the robot’s movements accordingly. Experimental results demonstrate that the system not only accurately recognizes various voice commands, but also controls the robot’s behavior in real time, showing high practicality and reliability. This study addresses the limitations inherent in conventional voice control methods, demonstrates the potential of integrating deep learning technology with industrial control platforms, and presents a novel approach for robotic voice control.

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18

Latifa, Ulinnuha, and Joko Slamet Saputro. "PERANCANGAN ROBOT ARM GRIPPER BERBASIS ARDUINO UNO MENGGUNAKAN ANTARMUKA LABVIEW." Barometer 3, no. 2 (2018): 138–41. http://dx.doi.org/10.35261/barometer.v3i2.1395.

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Penelitian ini membahas perancangan robot Arm Gripper yang berbasis Arduino Uno dengan menggunakan LabView sebagai antarmuka (interface). Arduino Uno digunakan untuk mengendalikan motor servo yang merupakan aktuator. Sedangkan software Labview dimanfaatkan sebagai antarmuka untuk memantau sistem secara real time. Pengoperasian dan pengamatan robot ini sepenuhnya pada tampilan yang telah dibuat pada LabView.

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19

Xu, Jing Bo, Yong Zhong Zhao, and Hong Tao Yu. "HP3 Interface Program by Labview." Applied Mechanics and Materials 602-605 (August 2014): 3839–42. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.3839.

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This paper aims to discuss about the method of HP3 interface program with hardware by Virtual instrument-labview. This paper studies the characteristic and advantages of labview, analyzes the HP3(Handyprobe difference USB oscilloscope) hardware interface way and discuss the connection on hardware labview. The actual interface connection method is given in the end.

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20

Liu, Shi Wei, Jun Lan Li, Xing Yu Zhao, and Da Wei Zhang. "Achievement of Dynamic-Link Library for Image Segmentation Based on LabVIEW." Materials Science Forum 697-698 (September 2011): 805–8. http://dx.doi.org/10.4028/www.scientific.net/msf.697-698.805.

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In order to design a wire bonder, a vision position module on LabVIEW platform is needed. In this paper, an improved Otsu method is achieved based on LabVIEW and dynamic-link library (DLL). By analyzing the mechanism of dynamic-link library, this paper introduced the key technique of achieving image segmentation on LabVIEW by using DLL. Finally, experiments are undertaken by using a kind of IC chip. It’s shown that, the quality of resulting images achieved by LabVIEW is similar as that achieved by VC++, and the segmentation costs less than 50ms, about 20ms more than that achieved by VC++.

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21

Kiss, Tamás, and Péter Tamás Szemes. "Quadkopter szimulációja LabVIEW környezetben." International Journal of Engineering and Management Sciences 2, no. 1 (2017): 46–49. http://dx.doi.org/10.21791/ijems.2017.1.8.

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A cikk célja, hogy egy olyan LabVIEW alapú valós idejű beágyazott rendszerrel támogatott fejlesztőkörnyezetet hozzunk létre, melyet felhasználtunk egy quadkopter valós idejű kinematikai és dinamikai valós idejű szimulációjára, valamint a hozzátartozó állapot visszacsatoló szabályozóra. Az állapot visszacsatoló szabályozó tervezésért LQR alapú módszerrel terveztük.

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22

Kaur, Simarpreet, and Ms Purnima. "Speaker Verification using LabVIEW." International Journal of Computer Applications 21, no. 4 (2011): 31–38. http://dx.doi.org/10.5120/2497-3375.

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23

Bonnardot, Frédéric. "Télécommunications Numériques sous Labview." J3eA 9 (2010): 0010. http://dx.doi.org/10.1051/j3ea/2010013.

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24

Josifovska, S. "The father of LabView." IEE Review 49, no. 9 (2003): 30–33. http://dx.doi.org/10.1049/ir:20030905.

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25

Shea, J. J. "LabVIEW applications and solutions." IEEE Electrical Insulation Magazine 15, no. 6 (1999): 47. http://dx.doi.org/10.1109/mei.1999.806385.

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26

Osorio, Luis Alberto. "Programación gráfica en LABVIEW." Revista Facultad de Ingeniería Universidad de Antioquia, no. 12-13 (October 11, 1996): 45–51. http://dx.doi.org/10.17533/udea.redin.325621.

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27

Kis, Péter, Miklós Kuczmann, János Füzi, and Amália Iványi. "Hysteresis measurement in LabView." Physica B: Condensed Matter 343, no. 1-4 (2004): 357–63. http://dx.doi.org/10.1016/j.physb.2003.08.069.

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Kulkarni, R. "Disruptive technology [LabVIEW FPGA]." Computing and Control Engineering 17, no. 1 (2006): 32–35. http://dx.doi.org/10.1049/cce:20060106.

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29

Foster, K. R. "New Math for Labview." IEEE Spectrum 34, no. 6 (1997): 66. http://dx.doi.org/10.1109/mspec.1997.591669.

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30

Yamamoto, Yuka. "Combining LabVIEW with OpenCV." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2018 (2018): 2P2—D03. http://dx.doi.org/10.1299/jsmermd.2018.2p2-d03.

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31

Shea, J. J. "Internet applications in labVIEW." IEEE Electrical Insulation Magazine 17, no. 1 (2001): 45. http://dx.doi.org/10.1109/mei.2001.901626.

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32

Butler, Lance, and Jerome Conia. "LabVIEW® makes babies." Laboratory Robotics and Automation 10, no. 2 (1998): 113–14. http://dx.doi.org/10.1002/(sici)1098-2728(1998)10:2<113::aid-lra14>3.0.co;2-5.

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33

Enache, B. A., C. K. Banica, and Ana Geroge Bogdan. "Labview for IoT Applications." Scientific Bulletin of Electrical Engineering Faculty 23, no. 1 (2023): 50–53. http://dx.doi.org/10.2478/sbeef-2023-0009.

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Abstract The Internet of Things (IoT) represents a paradigm shift, ushering in an era of technological innovation characterised by an array of novel services. IoT applications, with their potential to harmoniously merge the cyber and physical worlds, are nearly boundless. However, despite the extensive efforts put forth by standardisation bodies, alliances, industries, and the research community, a myriad of challenges remains to be addressed for IoT to reach its maximum potential. This paper presents a possible solution by merging the advantages of the LabView development medium with the lightweight communication provided by the MQTT protocol.

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Dhuri, Tanmay. "Establishing and Monitoring Remote Laboratory Using Webcam for Engineering Students." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 3961–66. https://doi.org/10.22214/ijraset.2025.69200.

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Each year, over a million engineering students in India seek admission, presenting a significant opportunity for institutes to continually improve learning environments. The problem of overcrowded laboratories and outdated experiment equipments is seen yet neglected at times. This spreads light to Real-time Remote Access (RART) laboratories, a potential solution that not only increases accessibility but also promotes distance learning. Utilizing LabVIEW web services for control and data acquisition, complemented by webcams for real-time experimental monitoring, ensures seamless experimenting environment for students and educators. The paper also explores the challenges and considerations in integrating LabVIEW with web-based interfaces. The results of 7 curriculum-based experiments in electronics engineering highlight the practicality of the proposed system in remote education and research setting. In this regard, the present work contributes to the growing body of literature in remote laboratories, offering a comprehensive solution that combines LabVIEW's robust functionality with the advantages of webcam monitoring.

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Syafriyadi Nor. "Integrasi LabVIEW Dengan Arduino Melalui Modbus RTU Untuk Sistem Monitoring Dan Kontrol." Electrician : Jurnal Rekayasa dan Teknologi Elektro 18, no. 3 (2024): 299–307. https://doi.org/10.23960/elc.v18n3.2716.

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Penelitian ini bertujuan untuk mengintegrasikan perangkat lunak LabVIEW dengan mikrokontroler Arduino menggunakan protokol Modbus RTU untuk pengembangan sistem monitoring dan kontrol. LabVIEW digunakan sebagai antarmuka pengguna yang memungkinkan pemantauan real-time dan pengendalian perangkat keras Arduino, seperti sensor DHT11 dan Relay, secara efisien melalui jaringan Modbus. Metodologi penelitian mencakup pengaturan dan konfigurasi komunikasi Modbus RTU antara LabVIEW dan Arduino, pengembangan antarmuka pengguna untuk visualisasi data sensor DHT11. Tujuan dari penelitian ini adalah menguji fungsi input register pada Modbus RTU untuk membaca suhu dan kelembaban dari sensor DHT11, menguji fungsi coil untuk mengaktifkan dan menonaktifkan relay, serta menguji fungsi input status untuk membaca status tombol saat ditekan. Hasil penelitian ini menunjukkan bahwa data dari sensor DHT11 dapat ditransmisikan secara akurat ke LabVIEW, dengan pembacaan sensor yang konsisten dan akurat baik untuk suhu maupun kelembapan. Status tombol berubah sesuai dengan interaksi fisik yang dilakukan, dan indikator lampu pada antarmuka LabVIEW merekam perubahan status dengan akurat. Meskipun terdapat fluktuasi dalam waktu respon yang bisa dipengaruhi oleh beban relay, kondisi jaringan komunikasi, atau performa perangkat keras, respons yang tercatat masih dalam rentang yang dapat diterima. Tidak ada anomali atau delay yang signifikan dalam pembacaan status input, menunjukkan keandalan sistem dalam merespons interaksi pengguna dengan tombol dan feedback yang diberikan melalui antarmuka LabVIEW. Sistem yang dikembangkan mampu memberikan monitoring dan kontrol yang efisien, serta dapat diandalkan untuk aplikasi industri maupun penelitian. Kata kunci — LabVIEW, Arduino, Modbus, RTU, Monitoring, Kontrol.

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Manalu, Trimas, Eko Prayetno, Rozeff Pramana, and Sapta Nugraha. "Rancang Bangun Sistem Kontrol pH Air Pada Palka Ikan Muatan Hidup Menggunakan Mikrokontroler dan LabVIEW." Jurnal Sustainable: Jurnal Hasil Penelitian dan Industri Terapan 7, no. 2 (2018): 53–63. http://dx.doi.org/10.31629/sustainable.v7i2.573.

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Palka ikan muatan hidup saat ini tidak mampu mengontrol parameter pH air sesuai dengan lingkungan hidup ikan. pH perlu diperhatikan agar ikan dapat bertahan hidup. Tujuan dari penelitian ini adalah merancang bangun sistem yang dapat mengontrol ph air pada palka ikan menggunakan mikrokontroler dan LabVIEW. Pengujian dilakukan pada palka dengan dimensi 90 cm x 65 cm x 50 cm. Monitoring perubahan nilai pH secara real time dilakukan melalui LCD dan LabVIEW. Perangkat ini dilengkapi dengan indikator LED yang dapat mengindikasikan kondisi dari relay diluar dari perangkat lunak LaBVIEW. Selisih pembacaan sensor yang dirancang dengan alat ukur standar hanya berkisar 0,05. Proses penampilan nilai pembacaan sensor pada LCD dan LabVIEW berjalan baik dengan waktu respon pembacaan sekitar 0,5 detik dan dengan respon waktu dalam mengendalikan relay sekitar 0,3 detik. Ikan dapat bertahan hidup dengan menggunakan sistem kontrol yang dirancang selama proses pengujian dalam waktu 2x24 jam. Nilai pembacaan dari sensor akan tersimpan secara real time selama perangkat lunak LabVIEW berjalan.

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B. Vanmathi, S. SubaShree, R. Ravanya, B. Vidhyavashini, and M. Priyadharshini. "Prediction and Therapeutic Design for Diabetic Retinopathy Using LabVIEW." International Research Journal on Advanced Engineering and Management (IRJAEM) 2, no. 03 (2024): 423–31. http://dx.doi.org/10.47392/irjaem.2024.0059.

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Diabetic Retinal Disease (DR) is a gradual obstruction in the functioning of the blood vessels in the retina of the eye caused by chronic hyperglycemia, which may be due to diabetes type 1 or type 2. LabVIEW software play as major role in predicting the diabetic retinopathy at different stages. The real time image of the affected eye is acquired using Vision Actuation tool in LabVIEW and then it is processed using Vision assistant tool. Lot technology is I for sending the output result to the corresponding end client. Image processing and lot. Both are implemented using LabVIEW. Additionally, the system extends its functionality beyond diagnostics by incorporating an innovative approach to monitor the temperature of the eye. By integrating LabVIEW's capabilities with lot, the proposed solution checks the temperature the eye in real-time. If the detected temperature is elevated, a Peltier crystal is employed to cool the eye, demonstrating an adaptive and responsive mechanism to address abnormal temperature conditions. Aims to check the patients whether they are suffering from diabetic retinopathy or not and if they are having the diabetic retinopathy in which stage it is. Because most diabetic people are suffering from this and may also lead to loss of vision. Due to this reason, it is highly required to classify the persons in a short time with high accuracy. Automation reduces human error and subjectivity. Can detect early stages of disease. Ability to process and analyze digital fundus images efficiently.

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38

Hotta, Yasushi. "Introduction to Lab VIEW and LabVIEW FPGA Module." Journal of The Institute of Image Information and Television Engineers 65, no. 2 (2011): 161–65. http://dx.doi.org/10.3169/itej.65.161.

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Lutsenko, Halyna V. "ВИКОРИСТАННЯ ЗАСОБІВ LABVIEW У ПРОЦЕСІ ОБРОБКИ ЕКСПЕРИМЕНТАЛЬНИХ ДАНИХ СТАТИСТИЧНИМИ МЕТОДАМИ". Information Technologies and Learning Tools 35, № 3 (2013): 120–34. http://dx.doi.org/10.33407/itlt.v35i3.816.

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Проаналізовано особливості, що виникають під час підготовки студентів фізичних та інженерних спеціальностей у вивченні статистичних методів і їх застосуванні на практиці. Досліджено основні типи задач, що виникають під час статистичної обробки експериментальних даних. Розглядається методика використання програмного середовища LabVIEW для побудови модуля визначення статистичних параметрів експериментальних вибірок. Описана структура створеного програмного забезпечення і його реалізація засобами середовища LabVIEW. Описана процедура програмування в LabVIEW і низка базових елементів, що використовуються для розробки програми.

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Zhu, Zu Wei, Jue Xiao Chen, and Ze Chang Sun. "SQL Server Access Methods Based on LabVIEW." Applied Mechanics and Materials 596 (July 2014): 914–17. http://dx.doi.org/10.4028/www.scientific.net/amm.596.914.

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Several methods that contribute to connecting SQL server database with LabVIEW are listed and compared in the paper, while the method of using LabSQL is exemplified to show its convenience and reliability. Two steps are required to achieve the connectivity between database and LabVIEW via LabSQL: First is setting up an underlying connection between database and LabVIEW through ODBC. Second is using SQL statements to realize specific database operations such as query, insert, delete etc.

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Cheng, Huan Xin, Kai Zhang, and Li Cheng. "Design a Temperature Control System Based on Labview." Applied Mechanics and Materials 644-650 (September 2014): 95–98. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.95.

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Temperature is the main environment parameter to industrial and agricultural production. To timely and accurate measurement is having great significance. A lot of production equipment, thermal equipment and large warehouse need for temperature measurement. Therefore, design a kind of ability of temperature automatic detection system has widely application value. This design is mainly on the Labview virtual instrument platform to develop a temperature acquisition system. We use good interface of Labview for data acquisition which is real-time display data in Labview. It can realize serial port function and will transfer to PC owners system. The data collected in the Labview environment for data processing and analysis, and it can accord the analysis of the results to control the singlechip microcomputer temperature.

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Dr., M. Shanmugavalli, M. Mathangini, M. Praveena, and N. R. Kaavya. "Control of DC Motor using LabVIEW." International Journal of Multidisciplinary Research Transactions 7, no. 3 (2025): 29–40. https://doi.org/10.5281/zenodo.15046941.

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This paper presents an in-depth study of servo motor using the NI myRIO platform and LabVIEW software, Servo motors are widely used in automation, robotics, and control systems, requiring precise position control. The NI myRIO, a reconfigurable embedded devise, facilities real-time control applications through LabVIEW’s graphical programming interface. The project demonstrates the implementation of a Pulse Width Modulation (PWM) signal to drive a (NAME) servo motor. The methodology includes setting up NI myRIO designing the LabVIEW virtual instrument, and analysing the system’s response. The LabVIEW block diagram allow users to generate PWM signals, while the front panel provides an intuitive user interface for controlling servo motor position. Key challenges such as latency, PWM signal noise, and torque limitations are discussed, along with future enhancements, including multiple servo integration and wireless control. This study highlights the effectiveness of LabVIEW in servo motor applications, making it a valuable tool for embedded systems education and industrial automation. The practical implementation outlined in this paper serves as a foundational guide for engineers and students working with motion control systems.  

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Su, Liang Yu. "Modeling in Respiratory Movement Using LabVIEW and Simulink." Applied Mechanics and Materials 536-537 (April 2014): 880–83. http://dx.doi.org/10.4028/www.scientific.net/amm.536-537.880.

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This paper present a typical respiratory movement method simulated by LabVIEW and Simulink.Because calling Matlab in LabVIEW can control hardware easily and realize complex algorithm concurrently,so we combine the capabilities of Simulink and Real-Time Workshop with LabVIEW,and use Simulation Interface Toolkit importing simulation models into LabVIEW.This paper provides a through introduction for respiratory modelling and control design,the combined method that can integrate the advantage of the two method is illustrated for control aim.

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Wang, Jin, Shu Sheng Li, Xin Lin Li, and Jing Jing Xin. "The Design of the Ice-Storage Air-Conditioning Data Acquisition System Based on LabVIEW." Advanced Materials Research 204-210 (February 2011): 1867–71. http://dx.doi.org/10.4028/www.scientific.net/amr.204-210.1867.

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This paper introduces virtual instrument and labVIEW technology, compares LabVIEW with text programming language, analyzes its advantages in developing of virtual instrument system, and discusses the design of ice-storage air-conditioning data acquisition system which is based on LabVIEW. A set of ice-storage air-conditioning data acquisition system is designed by using the graphical virtual instrument developing software of NI, to realize the auto- acquisition, preservation and transition of temperature and flow in every measure point.

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Ma, Jun Gong, Hong Wei Jiang, and Juan Chen. "Study of PLC Communication Technology Based on Profibus-DP." Advanced Materials Research 433-440 (January 2012): 4903–7. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.4903.

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his paper provides a method for the communication between PLC and IPC using Profibus-DP bus. It introduces the setting steps on the software Simatic and Labview. Using EM277, S7-200 can communicate with S7-300.And based on OPC technology, Labview can send and receive control message to S7-300.Profibus-DP bus can quickly delivers control digitals from Labview to S7-200.And this system is used in some space project, and have good results.

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Than, Myint Kyi, and Zin Latt Kyaw. "Camera Movement Control using PID Controller in LabVIEW." International Journal of Trend in Scientific Research and Development 3, no. 5 (2019): 519–23. https://doi.org/10.5281/zenodo.3590815.

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The aim of this system is to show how position of the dc motor can be controlled by using PID algorithm in LabVIEW for camera movement. Arduino microcontroller board is used to control the DC motor. L298N dual H Bridge motor driver is used to drive the DC motor and to execute the pulse width modulation PWM signal. Proportional Integral Derivative PID is the most common control algorithm used in industrial applications and other control system. DC motor will be interfaced with LabVIEW using an Arduino Uno microcontroller. The position of the DC motor will be set by creating a Graphic User Interface GUI in LabVIEW. LabVIEW GUI sends serial command to the microcontroller for driving PWM pins of the DC motor . DC motor will move by the user in LabVIEW for position control. The output is sent back to the PID controller in Uno microcontroller. PID compares the actual position of the DC motor with the desired position. In this system, PID controller is used to reduce the error and rotate the motor to the set point value for the camera movement control. Than Myint Kyi | Kyaw Zin Latt "Camera Movement Control using PID Controller in LabVIEW" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26397.pdf

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Iranian, Mohamad Esmaeil, Elyas Zamiri, and Angel de Castro. "Optimal Implementation of d-q Frame Finite Control Set Model Predictive Control with LabVIEW." Electronics 14, no. 1 (2024): 100. https://doi.org/10.3390/electronics14010100.

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Finite Control Set Model Predictive Control emerges as a promising method for controlling power electronics inverters, outperforming traditional linear techniques. However, implementing Finite Control Set Model Predictive Control on conventional processors faces a significant computational burden due to its repetitive nature. This paper presents a novel approach that utilizes LabVIEW & Field Programmable Gate Arrays to address this computational bottleneck. By capitalizing on the inherent parallelism and suitability of Field Programmable Gate Arrays for discrete control problems, substantial computational advantages are achieved for Finite Control Set Model Predictive Control. The use of LabVIEW, a well-established platform in industrial and commercial solutions, ensures that this work is relevant not only academically but also for real-world industrial applications of FCS-MPC in power electronics and motor drives. This research successfully demonstrates the application of Finite Control Set Model Predictive Control for controlling the current of a motor-like load for a three-phase Voltage Source Inverter system in LabVIEW. To simplify the traditionally complex Field Programmable Gate Arrays programming process, user-friendly toolkits such as LabVIEW Control Design & Simulation, LabVIEW Real-Time, and LabVIEW FPGA Module are employed. This LabVIEW-based integration facilitates the execution of both concurrent and sequential Field Programmable Gate Arrays algorithms, leading to efficient Field Programmable Gate Arrays resource management and user-defined restrictions on maximum switching frequency, obviating the need for resource-intensive control methods for fast switches such as SiC and GaN IGBTs. The proposed controller is validated using an off-the-shelf computer turned into a real-time system but also on Field Programmable Gate Arrays for comparison purposes.

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Malik, Arshad Habib, Feroza Arshad, Aftab Ahmed Memon, and Raheela Laghari. "Design of novel fractional order FPGA based reactor protection and safety controllers for ACP1000 nuclear power plant in LabVIEW." Mehran University Research Journal of Engineering and Technology 42, no. 1 (2023): 77. http://dx.doi.org/10.22581/muet1982.2301.08.

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In this research work, an advanced most modern ACP1000 Nuclear Power Plant is addressed. An enhanced fractional order model of ACP1000 nuclear power plant is adopted with an addition of protection and safety systems. The whole plant model is developed by using innovative hybrid technology of Visual Basic, LabVIEW, Fractional Order and Field Programmable Gate Array (FPGA). A reactor trip system is designed and modeled using FPGA technology in LabVIEW. Plant parameters are systematically modeled and panels are designed in LabVIEW for reactor protection controllers. Twenty one reactor trip controllers are designed and modeled based on complex digital logics using FPGA programming in LabVIEW. Two fractional order trip controllers are designed for over temperature protection and over power protection in LabVIEW. FPGA based safety controllers are designed for Engineered Safety Features (ESF) in LabVIEW. For enhanced model of ACP1000 nuclear power plant, 374 systems are modeled in modular form in Visual Basic Environment. Nine process controllers are configured in ANFIS framework in LabVIEW. In this research work, process controllers are used in conjunction with protection and safety controllers using FPGA. The parametric display of simulations is carried out in Visual Basic. The closed loop performance of proposed protection controllers is evaluated under reactor trip and turbine trip while that of safety controllers are evaluated under inadvertent opening of safety valves of pressurizer. Various parameters are simulated for severe transient conditions and the results are evaluated and validated against reference design data and Final Safety Analysis Report (FSAR) of ACP1000 nuclear power plant. All the results are well within the trip and safety systems design bounds under abnormal and severe operating conditions.

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NATALIANA, DECY, FEBRIAN HADIATNA, and YOSINNA MAULIDA. "Sistem Monitoring Infus dengan Human Machine Interface secara Wireless." ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 10, no. 2 (2022): 470. http://dx.doi.org/10.26760/elkomika.v10i2.470.

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ABSTRAKPenelitian ini merealisasikan sebuah sistem monitoring infus yang bertujuan untuk memudahkan tenaga medis dengan menampilkan parameter-parameter dalam sebuah terapi infus intravena ke sebuah program Labview dengan menggunakan jaringan komunikasi UDP secara wireless. Labview dapat mengendalikan perangkat keras untuk mengatur jumlah tetesan/menit dan memonitoring parameter yang dikirim dari Wemos D1. Parameter yang dimonitoring diantaranya adalah jumlah tetesan, interval (ms), tetesan/menit, dan volume cairan infus. Sistem ini dilengkapi dengan alarm dan pemberhentian cairan infus secara otomatis sebagai peringatan ketika cairan infus terhenti dan bernilai < 50 ml. Waktu yang dibutuhkan untuk menghabiskan 450 ml cairan infus adalah 442-460 menit. Pada pengujian kestabilan sudut motor servo terhadap jumlah tetesan/menit, didapatkan hasil yang relatif konstan yaitu 18 tetesan/menit dan 21 tetesan/menit. Dengan begitu sistem monitoring infus dengan menggunakan Labview ini dapat dikatakan cukup layak digunakan sebagai sistem pengendali dan monitoring terapi infus intravena.Kata kunci: monitoring, infus, wemos D1, komunikasi UDP, labview ABSTRACTThis research is realizing an infusion monitoring system that aims to make medicians work easier by displaying parameters in an intravenous infusion therapy to a Labview program using a wireless UDP communication network. The hardware can be controlled by Labview to control drip/minute and monitor the parameters which sent by Wemos D1. Parameters are total drip, interval (in ms), drip/minute, dan infusion fluid volume. This system also designed with an alarm and automatic infusion fluid stopping to warn whether the infusion fluid stopped and valued < 50 ml. The infusion fluid spent 442 – 460 minutes to drained 450 ml of the bottle. From the stability testing of motor servo degree towards total drip/minute obtained a relative constant result, there are 18 drip/minute and 21 drip/minute. Therefore, this infusion monitoring system with Labview can be claimed as feasible enough to be a controlling and monitoring intravenous infusion therapy system.Keywords: monitoring, infusion, wemos D1, UDP communication, labview

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Kozic, Antoni, Andzej Lucun, Romanas Tumasonis, Eugenijus Macerauskas, and Eivin Laukhammer. "INTEGRATION OF NI ELVIS TOOLS INTO THE EDUCATIONAL PROCESS FOR ANALYSIS OF ELECTRONICS SCHEMATICS." SOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference 1 (July 3, 2023): 200–209. http://dx.doi.org/10.17770/sie2023vol1.7109.

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A receiver circuitry is provided that is primarily controlled by the NI ELVIS instrument and the LabVIEW software package. Thus, it is possible not only to control, but also to process the received signals. This article highlights how easy it is to automate receiver control and receive signal processing with NI ELVIS with LabVIEW. The article presents the practice and perspectives of using the new National Instruments LabVIEW software and NI ELVIS II hardware for teaching in the educational laboratory.

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