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This paper presents the development of a virtual didactic tool for students of mechatronic engineering taking an intelligent system course. The objective of the tool is for students to learn the structures for fuzzy control systems. This tool makes it easier for students to understand the behavior of the membership functions of input and output variables, the evaluation of the set of fuzzy rules, and the method of defuzzification, giving the students the possibility of applying a fuzzy controller in industrial processes using a data acquisition board. The proposed tool was developed with the virtual instrumentation software LabVIEW. It has the advantage that students can manipulate the internal structure of the fuzzy logic control system in a unique window where students can analyze the behavior of internal signals by looking at the response graphs. The fuzzy controller can be easily translated to a real application by using LabVIEW compatible hardware. To have feedback from students on the use of the tool and to understand if this tool allows an improvement in their academic performance, a 2-hour workshop on the proposed application was given to a group of 93 students. At the end of the workshop, a knowledge assessment and a perception survey were applied to the participants. The academic performance achieved by students who were given the workshop using the proposed teaching tool was compared with the academic performance of students who witnessed the workshop using Matlab tools. The statistical analysis of the results obtained for the knowledge assessment shows that the students that had taken the workshop using the proposed teaching tool had better compression of the topic compared to the students that had taken the workshop using the Fuzzy Logic Toolbox provided by Matlab MathWorks. The students that had taken the workshop using the proposed teaching tool obtained a mean grade of 89.63/100, while students that had taken the workshop using Matlab’s tools obtained a mean grade of 69.85/100. Also, the students’ perception of the proposed tool was that it allowed the design of fuzzy control systems in a simple and intuitive way.

This paper presents a case study of the integration of virtual instrumentation in the development of engineering projects in undergraduate electrical engineering education, regarding a Data Acquisition and Interface Systems (DAIS) course. The DAIS course is part of the undergraduate curriculum in electrical engineering degree of Federal University of Campina Grande (UFCG). This course is very important in the training of students who will work in the area of electronics, and uses LabVIEW as an educational tool to carry out practical activities. In the semester course, the teacher and the monitor followed up the student teams that proposed engineering projects to be developed during four milestones of the DAIS course. Statistical analysis of the collected data is done by semester course and by academic year. For each milestone, LabVIEW tutoring sessions and educational assessment are performed with student teams, who had great facility in learning the tool. In the final presentation of engineering projects, the students demonstrated domain about the content of the DAIS course and they were fully satisfied with LabVIEW. From the results, the students considered the virtual instrumentation tool with 96% of usefulness during the academic year and 100% recommendation to be applied in other engineering projects.

This paper discusses the reduction of background noise in an industrial environment to extend human-machine-interaction. In the Industry 4.0 era, the mass development of voice control (speech recognition) in various industrial applications is possible, especially as related to augmented reality (such as hands-free control via voice commands). As Industry 4.0 relies heavily on radiofrequency technologies, some brief insight into this problem is provided, including the Internet of things (IoT) and 5G deployment. This study was carried out in cooperation with the industrial partner Brose CZ spol. s.r.o., where sound recordings were made to produce a dataset. The experimental environment comprised three workplaces with background noise above 100 dB, consisting of a laser/magnetic welder and a press. A virtual device was developed from a given dataset in order to test selected commands from a commercial speech recognizer from Microsoft. We tested a hybrid algorithm for noise reduction and its impact on voice command recognition efficiency. Using virtual devices, the study was carried out on large speakers with 20 participants (10 men and 10 women). The experiments included a large number of repetitions (100 times for each command under different noise conditions). Statistical results confirmed the efficiency of the tested algorithms. Laser welding environment efficiency was 27% before applied filtering, 76% using the least mean square (LMS) algorithm, and 79% using LMS + independent component analysis (ICA). Magnetic welding environment efficiency was 24% before applied filtering, 70% with LMS, and 75% with LMS + ICA. Press workplace environment efficiency showed no success before applied filtering, was 52% with LMS, and was 54% with LMS + ICA. Web of Science 69 1 1096 1073

Virtual instrumentation is the use of customizable software and modular measurement hardware to create user-defined measurement systems, called virtual instruments. The primary difference between hardware instrumentation and virtual instrumentation is that LabVIEW software is used to replace a large amount of hardware. The software enables complex and expensive hardware to be replaced by already purchased computer hardware. Virtual Instrumentation is established using LabVIEW. Laboratory Virtual Instrument Engineering Workbench (LabVIEW) is a system-design platform and development environment for a visual programming language from National Instruments. The graphical language is named “G”; not to be confused with G-code. Originally released for the Apple Macintosh in 1986, LabVIEW is commonly used for data acquisition, instrument control, and industrial automation on a variety of Operating Systems (OSs), including Microsoft Windows, various versions of Unix, Linux, and MacOS. Simple timer Circuit, Traffic Light Control System, Automotive Safety assurance, Speed, Direction control of DC motor and Library Database File Management are realized by implementing VI programs. Select switch, Looping concepts, Case and Flat Sequence structures, String Manipulation, Clusters, File IO systems and Arduino interfacing through DAQ are used to implement all Simulation Models. Software Developed timer circuit and Automotive Safety assurance overcome the accuracy problem of conventional circuits. Designed Library Management system enhances ease of tracking. Conventional control of DC motor relies on hardware accessories such as Field and Armature rheostats and it requires manual implementation, whereas Virtual instrumentation makes software based control and it improves the system reliability. Fetching of Real time data and manipulation addresses the flexibility issue of hardware based Traffic Light Control system.

Electric vehicle (EV) technology proposed itself as a great solution for the predictable shortage in traditional energy sources. Using wireless power transfer (WPT) technology for charging the battery can be considered as a good solution to overcome the battery charging time problem. The considered WPT technique in this research is an inductive magnetic resonance (IMR). The problem now is to design a smart controller system that enables the EVs to obtain the optimum value of WPT by using the machine vision and the technology of Internet of Things (IOT). The utilisation technique of the maximum WPT in this research based on the simulation study of the magnetic flux density between the sending and receiving coils of the WPT system. Maximum efficiency of IMR method depends directly on the ideality of coils alignment. To achieve this alignment, a smart controller has been introduced with four integrated controlling layers. Coordinating an image processing technique with smart embedded sensing elements is considered the main solution key to better positioning. National instrument packages NI LabVIEW and NI vision are considered to fully control the system. NI Data Dashboard enables creating a wireless link using the concept of IOT to a smartphone running simple graphical user interface.

espanolEn diferentes esferas de la vida cotidiana es muy importante determinar el peso de sustancias, objetos e incluso de personas. Las galgas extensiometricas son ampliamente utilizadas en la construccion de celdas de carga para balanzas electronicas. Sin embargo, la senal de estos transductores presenta ruido debido a diversos factores. En este trabajo se presenta un instrumento virtual desarrollado en LabVIEW para la adquisicion y procesamiento de la senal de una celda de carga AC108B/BW. Se desarrollo un filtro digital integrador de media movil, configurable, para disminuir la amplitud del ruido de la senal. EnglishIn different spheres of everyday life it is very important to determine the weight of substances, objects and peoples. Strain gauges are widely used in load cells for electronic scales. However, the signal from these transducers presents noise due to various factors. This work presents a virtual instrument developed in LabVIEW for acquisition and processing of the AC108B/BW load cell signal. A moving average digital filter was developed, in order to decrease the amplitude of the signal noise.

Nowadays, it is frequent that engineering companies use Internet as the main working environment for the complementary services offered to their customers. Furthermore, Internet allow the development of powerful tools dedicated to the remote maintenance, on-line supervision and performance optimisation of the industrial machinery. In this paper, a extensive set of complementary services via Internet denominated IngeRAS™ that provide rapid and effective access to industrial machinery, supplied by the Basque company Ingelectric S. A., is described. Additionally, a new remote system dedicated to the hardware-in-the-loop (HIL) experimentation concerning the optimisation of the performance of industrial controllers installed by the company, is presented. Such a system, now under construction, exploits the rapid prototyping strategy of real-time computer controlled systems and is expected to be added to IngeRAS™ in the near future in order to be used remotely by the engineers by means of virtual instrumentation.

This paper presents the applications of LabVIEW tools in the field of electrical engineering for student-centric learning such as power factor measurement, AC-to-DC converters, speed control of induction and DC motor drive. LabVIEW is a powerful graphical interface and user-friendly tool designed specifically for test, measurement and control. The power factor of resistive and inductive loads, the performance parameters of fully controlled converters and speed control of induction motor are performed in LabVIEW with DAQ device USB 6009. The speed control of a DC motor is performed with PI-speed controller using LabVIEW control and simulation toolkit and fuzzy logic controller. Measurement results are presented to validate the feasibility of system.

Blood pressure assessment plays a vital role in day-to-day clinical diagnosis procedures as well as personal monitoring. Thus, blood pressure monitoring devices must afford convenience and be easy to use with no side effects on the user. This paper presents a compact, economical, power-efficient, and convenient wireless plethysmography sensor for real-time blood pressure biosignal monitoring. The proposed sensor facilitates blood pressure signal shape sensing, signal conditioning, and data conversion as well as its wireless transmission to a monitoring terminal. Received data can, subsequently, be compiled and stored on a computer via a Wi-Fi module. During monitoring, users can observe blood pressure signals being processed and displayed on the graphical user interface (GUI)—developed using a virtual instrumentation (VI) application. The proposed device comprises a finger clip optical pulse sensor, analogue signal preprocessing, microcontroller, and Wi-Fi module. It consumes approximately 500 mW power when operating in the active mode and synthesized using commercial off-the-shelf (COTS) components. Experimental results reveal that the proposed device is reliable and facilitates efficient blood pressure monitoring. The proposed wireless photoplethysmographic (PPG) sensor is a preliminary (or first) version of the intended device manifestation. It provides raw blood pressure data for further classification. Additionally, the collected data concerning the blood pressure wave shape can be easily analysed for use in other biosignal observations, interpretations, and investigations. The design approach also allows the device to be built into a wearable system for further research purposes.

This article presents the development of a low-cost control hardware in the loop platform for the validation and analysis of controllers used for the management of power sharing between the main grid and a DC microgrid. The platform is made up of two parts: a main grid interconnection system emulator (MGISE) and a controller under test (CUT). The MGISE operates on a 260 V DC bus and includes a 1000 W photovoltaic array, a DC variable load and a single H full bridge converter (HFBC). The CUT includes a phase locked loop and a main cascade control structure composed of two PI controllers. Both the MGISE and the CUT were embedded on an NI myRIO-1900 development board and programmed using LabVIEW virtual instrumentation software. These devices communicate with each other using analog signals representing the AC side current, the DC side voltage, and the HFBC control signal. The MGISE operates with an integration time of 6 µs and its performance is validated by comparing it with a simulation in PSIM. The integration time of the MGISE, the development boards used, as well as its programming environment, and the results obtained from the comparison with PSIM simulation, show that the proposed platform is useful for the validation of controllers for power sharing, with a simple implementation process compared to other hardware description methods and with a low-cost platform.

According to a study conducted by the World Health Organization, cardiovascular diseases (CVDs) are the first cause of death globally. About 17.9 million people die each year from CVDs, which represents an estimated 31% of all deaths worldwide, and more than 75% of the deaths occur in low and middle-income countries. Therefore, it is very important to develop new methodologies that could be used in the future for diagnosing CVDs. They should be accessible both in terms of price and technologies, so that they can be available for low and middle-income countries as well. Because of the recent technological progress, Artificial Intelligence (AI) algorithms along with big data produce very accurate results even in the healthcare field, and we believe they can help in solving this problem.

This paper shown one matrix method for assisted analyze of the Kinematics in Robotics by using the Virtual LabVIEW instrumentation. This purpose offers the possibility for applicants to choose the best controlling algorithm of the movement after were analyzed the results of positions and velocities characteristics. The virtual simulation of them assures the best choose of the robot’s movements with the minimum variation of the velocities. By applying the pounder theory, were established the best behavior between all analyzed movement cases: simultaneously, successive, simultaneously after successive in the acceleration period, or simultaneously and successive in the deceleration period. Other goals of the research were to show all components of the used virtual instrumentation (VI) and the obtained results after the simulation work. For generality of the study, the proper LabVIEW VI-s contents the tab and case control of different types of robots that it is usually: Gun, Scale, Arm, Cartesian and Double Portal and the mathematical matrix model for positions and velocities. This analyze offers to researchers one virtual instrument what could be used to choose the best solution of the robot’s, or of the movements type, or of one special controlling algorithm for one application.

This Paper principally portrays that a Power Quality Monitoring system utilizing LabVIEW is created. Because of the higher utilization of power converters and other nonlinear burdens in industry and by customers all in all, it very well may be noticed an expanding crumbling of the power frameworks voltage and current waveforms [1]. The paper ‘Power Quality Monitoring using Virtual Instrumentation and LABVIEW’ basically depicts the monitoring of the quality of the power generated during the process with the help of a virtual environment that is LABVIEW. Now this paper is very much simple and is based on finding the power factor along with Active, Reactive and Apparent Power.In additional to that Active/Apparent and Reactive Energies is also found out and the nature of the graph is also found out accordingly. Here we are using Current and Voltage Transformers as the basic transducers and ideal values of voltage and current is taken and the graph is plotted with respect to voltage/current and the power/energies. The nature of both the graphs is quite different in case of power it is linearly increasing with the time, whereas in case of the energies the graph is linear in nature. Also the error and accuracy is found out with a fluke data which is based on the values of fluke instruments.

Solar PV system for off-grid applications is growing at a faster rate because of its compatibility and ease of implementation. The modern smart building consists of hybrid AC and DC loads. The solar PV system generates DC power and can also supply the DC loads. To supply the AC loads, the DC power need conversion to AC using a DC–AC converter. A general solar PV system consists of two stages, one is to extract the maximum power and the other one is to convert it into a suitable DC or AC. Here, a single-stage multi-functional converter (MFC) is employed, which extracts maximum power and supplies to both AC and DC loads. To overcome the intermittency of solar PV output, battery energy storage is interfaced through a non-isolated buck–boost converter. The MFC operates in two modes, i.e. hybrid power flow mode and inverter mode, depending upon the availability of solar PV output. The proposed system is simulated using the PSCAD/EMTDC software. An experimental test setup using solar array simulator and a multifunctional power electronics converter has been developed for demonstration of the results. The control algorithms are implemented using NI PXI-7842R series FPGA controller through LabVIEW platform.

Motivated by the fact that human visionary intelligence plays a vital role in guiding many of the agriculture practices, this article represents an effective use of machine vision technology for estimating plant morphological features to ascertain its growth and health conditions. An alternative to traditional, manual and time-consuming testing methods of plant growth parameters, a novel online plant vision system is proposed and developed on the platform of virtual instrumentation. Deployed in real time, the system acquires plant images using digital camera and communicates the raw image to host PC on Wi-Fi network. The dedicated application software with plant user interface, effective image processing and analysis algorithms, loads the plant images, extracts and estimates certain morphological features of the plant such as plant height, leaf area, detection of flower onset and fall foliage. The system was tested and validated under real-time conditions using different plants and leaves. Further, the performance of the system was statistically analysed to show promising results.

An automatic measurement system has been developed for high-speed testing of the most important magnetic and contact properties for elementary monostable and bistable miniature electromechanical relays. The system design is based on the virtual instrumentation approach, which is a combination of software and hardware. The comprehensive test application was developed using the LabVIEW graphical programming environment, while the used hardware is based on commercial measurement equipment and a custom developed device. The presented measurement methods are based on simultaneous generation and acquisition of analog and digital waveforms with the high-speed data acquisition device. The implemented automatic relay measurement system was validated metrologically and tested successfully with all supported relay types. The results show that the developed system is capable of performing accurate measurements of the coil resistance, contact resistance, time parameters, and operate/release values in less than two seconds.

Hardware-in-the-loop (HIL) simulation is a technique that is being used increasingly in the development and test of complex systems. Real-world testing of an intricate system in a field-like power plant can be challenging, time-consuming, expensive, and hazardous. HIL emulators allow engineers to test devices thoroughly and efficiently in a virtual environment with high reliability and minimum risk of defect. In this paper, the complete electric power system (including generator, turbine-governor, excitation system, transmission lines, transformer, external grid and related loads) is implemented in a MATLAB/Simulink environment. Different virtual instrument pages are modeled in the graphical programming language of LabVIEW which enable fast and reliable measurement functions such as data acquisition, archiving, real-time graphical display and processing. The interaction between MATLAB and LabVIEW is accomplished by generating a Pharlap ETS Targets *.dll file which enables the two software to exchange real-time data. Also, a real 1518-kW excitation system is considered as a test case for the introduced HIL system. This equipment is connected to LabVIEW software through a National Instrument PXI technology. Different scenarios (electrical frequency/active power change, voltage step response, etc.) are simulated in the designed power system emulator (PSE). The validity of the implemented model for the excitation system is verified by finding good matching between MATLAB and HIL simulation results.

This article focuses on the possibilities of intelligent camera systems based on a virtual instrumentation within the "SMART City" concept. The application areas of modern camera systems are discussed. The original benefit of the study is the real implantation of a modular camera system within the unique BroadbandLIGHT testing area (parking lot of the Faculty of Electrical Engineering and Computer Science, Technical University of Ostrava, Czech Republic). Both hardware compotes and designed software for working with cameras are thoroughly analyzed.

This paper covers our second version of visible light communication system, which was based on orthogonal-frequency division multiplexing. Whole platform is implemented in LabVIEW and is running on National Instruments software defined radios. Its design is thoroughly explained, and a number of measurements is presented. Certain limitations are described, and upgrade paths are mentioned as well.

In this paper, a design of wireless communicating power quality analyser based on virtual instrumentation is described. This paper mainly focuses on describing the system integration of various components into one-phase power quality analyser. Used hardware is based on NI cDAQ 9191 combined with NI 9205. Software is purely written in Lab VIEW. The main purpose of this work is to enhance the laboratory with new equipment that is simple to use, modular and portable. Further, this paper focuses on brief description of the theory behind power quality. Functionality of realised system was tested on two street-lamp types. Both technologies were thoroughly compared and analysed. Original purpose of this article is to demonstrate Virtual Instrumentation in the Power Quality area. Designed system is fully modular and useful in multiple applications.

Along with the rapid technological development in recent years, it is necessary to find rapid methods of application type for training future professionals in several branches of industry. In this paper is presented in detail both hardware and software a laboratory stand for an interactive training of future professionals in the fields related to virtual instrumentation in terms of data acquisition, processing and display in a form as explicit and easy to understanding of the results. The entire system was created using a Modbus communication protocol and the software application was created in the LabVIEW graphics development environment. The application has multiple applicability in several types of data downloads or measurements of several parameters. From the point of view of the addressability of this stand, auxiliary tools have been created to better understand the phenomena and processes to be studied in the training flow of future professionals in the field of virtual instrumentation. Built in the form of an interactive application, it offers the opportunity for future professionals to benefit from a complete training starting from studying the theoretical part of a laboratory work, visualizing the implementation schemes and making measurements that are then used to make different analyzes of results.

Reconfigurable technological process automation solutions may represent the key for overcoming difficulties encountered by developing economies. In order to speed up the above mentioned process design and preliminary tests could be accelerated using IT simulation with the help of virtual instrumentation. For exemplifying this approach we discuss in this paper an application, based on virtual instrumentation formalisms for modeling a network for water supply.

This paper presents a Virtual Instrumentation (VI) based prototype designed to evaluate systolic parameters resulting from the calculation of the Blumberger hemodynamic index (BHI) and the ejection fraction of the left ventricle (FEJ). In accordance with the available results, one can assess the cardiovascular activity of the patient. The proposed prototype includes integrated hardware and software, it is low-cost, noninvasive, and graphical user-friendly. Real-time cardiovascular signals representing the electrocardiographic derivation, the phonocardiogram and the peripheral photoplestismogram, are sampled using dedicated sensors, customized signal conditioning and an Arduino Uno device. Collected data is sent to a National Instruments’ LabVIEWTM application. An important feature of the proposed application allows the user to dynamically set measurement cursor limits by scrolling over the acquired waveforms plots. At the same time, calculation results are displayed, providing the means to perform an initial evaluation of the cardiovascular pathology. Functionality tests, performed with the help of several persons, confirm that the proposed system was properly designed and implemented. Consequently, it can become a suitable evaluation device in a family doctor or general medicine office, where the usage of professional equipment is not mandatory. This solution is also viable for educational purposes, especially in the case of medical instrumentation related subjects.

Motor has an important role in everyday life. Both are used on a home scale and in the industrial world. To regulate a motor, a good control system is needed. Laboratory Virtual Instrumentation Engineering Workbench abbreviated as LabVIEW is defined as a system engineering software that is used for the needs of testing, measuring, and controlling quickly on accessing hardware in which there is data needed. LabVIEW uses a graphics-based programming language or block diagram while other programming languages use a text base. This study aims to obtain a value of DC motor control. The method used in this research is to assemble the DC motor hardware with the driver followed by connecting it to a myRIO 1900 board controller. By providing variations in frequency and duty cycle, the results of current and voltage and rotation are obtained to determine its effect. The results of this study indicate that by giving a duty cycle of more than 50%, current and voltage are obtained and the motor rotation is linear and forms a horizontal line. The 100 Hz frequency is the best frequency that can produce the highest motor rotation.

In the paper there is presented a stage of research in order to improve screening and casuistic procedures, applied in the pediatric field, specific especially for visual function. During the current research phase, a software interface was designed, programmed and tested, aiming both visual screening and its use for recovery procedures, in the case of detected preschool children with visual problems. The procedure by which the answers of preschool children to different tests on visual function can be evaluated is “serious games” type, which should be an attractive one for the child (with different chromatic effects on computer, tablet, smart-phone). etc.). On the other hand, it is intended both to gradually develop the skills related to visual function and to support the doctor or pediatric optometrist in assessing quickly and objectively whether the answers to tests recommend a normal situation or a pathological case that requires treatment. From the point of view of evaluation procedure via virtual instrumentation, two main aspects have been considered: testing and/or training of visual memory, as well as testing and/or training of visual acuity in preschool children, for which visual sense is still developing.

In recent years, with the rapid development of measurement technology, people have higher requirements on the speed and efficiency of measurement. The integrated control system of virtual instrument can greatly improve the speed and accuracy of testing, at the same time, it can collect large data in real time, has good repeatability and expansibility, and also beautiful and simple operation interface. In this paper, the author uses LabVIEW application software as the development platform, and a variety of test instrument integrated control to form a fully automated measurement system. Hardware devices include electronic load, multimeter and power analyzer. They communicate with LabVIEW of host computer through different connection modes such as RS232 serial port and call DLL. The measurement data obtained from the experiment were stored in the MySQL database through LabVIEW, and the Excel table was exported to generate the printed report. The establishment of this test system greatly improves the testing efficiency of the laboratory, and at the same time improves the real-time and accuracy of measurement data, saves a lot of time and manpower, and has a good application value.

Neutral beam injection (NBI) heating is one of the most efficient auxiliary plasma heating methods for fusion devices. The development of timing node (TN) for NBI system in the experimental advanced superconducting tokamak (EAST) is presented in this paper. AS an important sub-system, TN is designed to provide a unified clock for all sub-systems of NBI, control the input/output services of digital and analog signals, realize failsafe and latch the trouble signals, and control DC/AC output of high voltage power supply system. The timing node is developed on a PXI (PCI eXtensions for Instrumentation) platform consisting of a LabVIEW workstation and a timing control terminal. The architecture and implementation of TN are presented in this paper.

The actual trade-off among engine emissions and performance requires detailed investigations into exhaust system configurations. Correlations among engine data acquired by sensors are susceptible to artificial intelligence (AI)-driven performance assessment. The influence of exhaust back pressure (EBP) on engine performance, mainly on effective power, was investigated on a turbocharged diesel engine tested on an instrumented dynamometric test-bench. The EBP was externally applied at steady state operation modes defined by speed and load. A complete dataset was collected to supply the statistical analysis and machine learning phases&mdash, the training and testing of all the AI solutions developed in order to predict the effective power. By extending the cloud-/edge-computing model with the cloud AI/edge AI paradigm, comprehensive research was conducted on the algorithms and software frameworks most suited to vehicular smart devices. A selection of artificial neural networks (ANNs) and regressors was implemented and evaluated. Two proof-of concept smart devices were built using state-of-the-art technology&mdash, one with hardware acceleration for &ldquo, complete cycle&rdquo, AI and the other with a compact code and size (&ldquo, AI in a nut-shell&rdquo, ) with ANN coefficients embedded in the code and occasionally offline &ldquo, statistical re-calibration&rdquo

Personalized health monitoring of neural signals usually results in a very large dataset, the processing and transmission of which require considerable energy, storage, and processing time. We present bioinspired electroceptive compressive sensing (BeCoS) as an approach for minimizing these penalties. It is a lightweight and reliable approach for the compression and transmission of neural signals inspired by active electroceptive sensing used by weakly electric fish. It uses a signature signal and a sensed pseudo-sparse differential signal to transmit and reconstruct the signals remotely. We have used EEG datasets to compare BeCoS with the block sparse Bayesian learning-bound optimization (BSBL-BO) technique&mdash, A popular compressive sensing technique used for low-energy wireless telemonitoring of EEG signals. We achieved average coherence, latency, compression ratio, and estimated per-epoch power values that were 35.38%, 62.85%, 53.26%, and 13 mW better than BSBL-BO, respectively, while structural similarity was only 6.295% worse. However, the original and reconstructed signals remain visually similar. BeCoS senses the signals as a derivative of a predefined signature signal resulting in a pseudo-sparse signal that significantly improves the efficiency of the monitoring process. The results show that BeCoS is a promising approach for the health monitoring of neural signals.

Robotics design is an exciting design for engineer, researcher, and inter disciplinary field of study. The purpose of this robot is to introduce the fundamentals of robotics and control of smart robot. It should also be useful for engineer and industrial persons. In this research paper, we compare micro-controller-based program and virtual instrumentation program control. So, we implement the virtual instrument control program for this robot to make decisions like vision, task planning, and obstacle avoidance. An autonomous robot, capable of performing different tasks for a human who is physically disabled, has been designed and developed. To avoid accident with unpredicted obstacles, the autonomous robot uses ultrasonic sensor and finds range for recognition and mapping. The obstacle avoidance approach used for this system is described. Since this approach depends deeply on the concert of the ultrasonic sensors, these sensors and the consequence of their restrictions on the obstacle avoidance algorithm and techniques are discussed in detail.

In this work, a biomedical monitoring system ‘LabVIEW’ is proposed to detect the exact position of tumour, from MRI and CT scan images. Identification of tumour cell from normal cells is important and is done by Watershed Algorithm. Practical insight for image process is provided by LabVIEW software. For classification of tumour cells, an effective system is required The potential effectiveness of such a system is analysed by using LabVIEW (Laboratory Virtual Instrumentation Engineering Workbench).

Multi objectives optimisation in the dynamic behaviour of robots is one of the most difficult problem to be solved. In the paper will be shown the complex matrix form of the positions, velocities, accelerations, active forces and moments in the robot's joints, the mathematical models for the inertial tensors for different form of the robot's body and the proper algorithm to establish the best case between some studied cases when were changed: the movements- simultaneously, successive or combination of them; the acceleration and deceleration time. The mathematical matrix form of the positions, velocities, accelerations, active forces and moments equations were transposed in to the virtual LabVIEW instrumentation with the goals to obtain some characteristics of the positions, velocities, accelerations, active forces and moments variation vs. time in each joints of the robot, in the studied cases. The multi-objective method to choose what will be the best solution of the movement what determine the minimum variation of the linear and angular velocities, linear and angular accelerations and active forces and moments was construct by using the pounder and neutrosophic theory and the simulation with LabVIEW instrumentation. By using proper optimization algorithm was choosing the best solution between all these studied cases. The applied method, the algorithm and the proper virtual instrumentation solve one small part of the complex problems of the optimisation in the dynamic behaviour of robots.

Virtual instrumentation is the use of customizable software and modular measurement hardware to create user-defined measurement systems. A virtual measurement system for mechanical quantities (force, mass, acceleration, torque, power, etc.), based on high quality equipment and Microsoft Visual Basic language, is intensely used for training students at the “Politehnica” University of Bucharest, stimulating their creativity. We developed TensoDentar, a complex measurement system of dislodging forces for complete dentures or palatal plates, composed by an original strain gauge force transducer (SGFT) and virtual instrumentation in NI and LabVIEW environment. You find a thorough description of the intelligent FT design, experimental setup and measurement procedure, as you cannot usually find in books, however very useful for researchers, students and technicians of various specializations.

Simulation and behavioral analysis of genetic circuits is a standard approach of functional verification prior to their physical implementation. Many software tools have been developed to perform in-silico analysis for this purpose, but none of them allows users to interact with the model during run-time. The run-time interaction gives the user a feeling of being in the lab performing a real-world experiment. In this chapter, you will be introduced with a tool named DVASim (Dynamic Virtual Analyzer and Simulator) which allows users to perform virtual laboratory experimentation. This tool provides a user-friendly environment to simulate and analyze the behavior of genetic logic circuit models represented in an SBML format. Hence, SBML models developed in other software environments can be analyzed and simulated in DVASim.

In this paper, the design and development of a novel mannequin-based ophthalmic anesthetic training system with two cameras integrated into it to provide a real-time visual feedback to the trainee is presented. The system developed uses anatomically accurate 3-D printed ocular structures and a novel feature for ophthalmic training system where the trainee is able to see the needle and ocular structures on a monitor in real time during the training. Other new features of the system include a virtual instrument, which has been developed to acquire the images, process, and automatically capture the required information from the images from the cameras. The system is developed in such a way that when a trainee practices using the proposed system, it detects and tracks the needle tip position automatically using an appropriate algorithm. Then, the position of the needle is used to trace the path of the needle, and the system warns if the needle enters locations within the orbital cavity that are classified as unsafe. The entire training session as observed by the two wisely positioned cameras can be recorded; the same can be reviewed by an expert anesthetist at any point of time to give the feedback. The trainee with information provided by the training system and the feedback provided by the expert instructor helps him/her to improve and perform safer regional ophthalmic blocks. The system developed was tested at a pilot study, which comprised of 21 trainees and 20 consultant ophthalmic anesthetists to validate its utility.

Building Energy Management Systems (BEMS) have been acquiring greater importance in the world; nowadays are a novel trend, especially for building performance, electricity cost and carbon footprint. Actually, tools for BEMS present some technical and economical disadvantages for building managers; to overcome these limitations, a practical and cost-effective tool is presented. To achieve this, we propose a flexible, user-friendly and low-cost remote monitoring system called Virtual Energy Management System (VMS). This tool is based on virtual instrumentation and the graphical user interface is developed on the LabVIEW 2013® virtual programming platform. VMS displays and records on a computer the information of electrical parameters, electricity costs and carbon footprint; moreover, the user is allowed to visualize the monitoring display and access to records remotely through the internet. The VMS software was designed to be used by employees and building managers, so specialized personnel is not required. The validation was carried out in a building actually in use by the Autonomous University of the State of Baja California (UABC) located at Mexicali, Mexico. Results show that the total investment cost of a monitoring tool for BEMS can be reduced by 40% for small and medium buildings.

This paper describes a driver alcohol detection system based on breath sample testing, developed using Arduino Compatible Compiler for LabVIEW (ACCL), that allows to program Arduino boards with Labview. The system is able to measure the alcohol concentration from breath sample and control the operation of the car ignition system to prevent drunk driving. Also, the use of virtual instrumentation provides high flexibility, unlike traditional solutions. Nowadays, drunk driving has become a major phenomenon in modern society. It is a common cause of car crashes involving human error.

The article uses LabView to develop a fault diagnosis system for wind power planetary transmissions. First, use LabView software to create a signal acquisition system. Then, the built wind turbine planetary transmission experiment platform was combined with the NI9171 data acquisition card and the upper computer. The hysteresis brake was used in the laboratory to simulate the external wind environment, and the planetary gear transmission planetary gear crack fault diagnosis and testing experiments were performed. The frequency domain signal is obtained from the initial time domain signal obtained by the experiment through the EMD and envelope demodulation method. The frequency of the corresponding planetary gear crack in the frequency domain signal is compared with the theoretical calculation of the planetary gear crack failure frequency. The results show that the frequency of the corresponding planetary gear cracks in the frequency domain spectra obtained by the experiment is basically consistent with the theoretical calculation of the frequency of cracks in planetary gears. The fault diagnosis system developed by LabView is reliable. The experiment provides a theoretical basis for fault diagnosis, optimisation design, and life prediction of wind turbine planetary transmissions.

This work proposes a fault detection algorithm based on the analysis of the theoretical curves which describe the behavior of an existing PV system. For a given set of working conditions, solar irradiance and PV modules' temperature, a number of attributes such as voltage ratio (VR) and power ratio (PR) are simulated using virtual instrumentation (VI) LabVIEW software. Furthermore, a third order polynomial function is used to generate two detection limits for the VR and PR ratios obtained using VI LabVIEW simulation tool.\ud \ud The high and low detection limits are compared with measured data taken from 1.1 kWp PV system installed at the University of Huddersfield, United Kingdom. Samples lie out of the detection limits are processed by a fuzzy logic classification system which consists of two inputs and one output membership function.\ud \ud In this paper, PV faults corresponds to a short circuited PV module. The obtained results show that the fault detection algorithm can accurately detect different faults occurring in the PV system, where the maximum detection accuracy of before considering the fuzzy logic system is equal to 95.27%. However, the fault detection accuracy is increased up to a minimum value of 98.8% after considering the fuzzy system.

In this work, we present a new algorithm for detecting faults in grid-connected photovoltaic (GCPV) plant. There are few instances of statistical tools being deployed in the analysis of PV measured data. The main focus of this paper is, therefore, to outline a parallel fault detection algorithm that can diagnose faults on the DC-side and AC-side of the examined GCPV system based on the t-test statistical analysis method. For a given set of operational conditions, solar irradiance and module's temperature, a number of attributes such as voltage and power ratio of the PV strings are measured using virtual instrumentation (VI) LabVIEW software.\ud \ud The results obtained indicate that the parallel fault detection algorithm can detect and locate accurately different types of faults such as, faulty PV module, faulty PV String, Faulty Bypass diode, Faulty Maximum power point tracking (MPPT) unit and Faulty DC/AC inverter unit. The parallel fault detection algorithm has been validated using an experimental data climate, with electrical parameters based on a 1.98 and 0.52 kWp PV systems installed at the University of Huddersfield, United Kingdom.

This paper describes the operational performance results of 6 kW grid-connected building integrated photovoltaic system (BIPV) applied in laboratory building, installed in Colombia (in Bogota, at 4°35′ latitude and 2.580 m altitude) after one year of monitoring (September 2015-August 2016). The BIPV system is operating in the building “Researching Center of the Engineering Programs − CIPI” at Universidad de Bogota Jorge Tadeo Lozano. The photovoltaic array is installed on the building’s roof and it has been operating properly since the month of January 2015. The BIPV system is composed of 24 photovoltaic modules connected to the electrical grid through a 5000 W inverter. A monitoring system was implemented using virtual instrumentation to measure irradiance, environment temperature and DC-AC variables of the photovoltaic system. A one-year monitoring process of the system and the meteorological variables allowed us to assess the energy performance and correlate power production with solar radiation. The results indicated that the average of AC energy generated by the pv system was 471,083 kWh/month; the average of irradiance was 4048 kWh/m 2 -day; the average of the photovoltaic arraýs efficiency was 13,68% and the maximun final yield of the system’s performance (YF) was 88,6 kWh/kWp-year. The grid-connected BIPV plant fulfills the specifications demanded for such systems by National and International standards.

Electrical power quality signal generator, capable of reproducing the power quality disturbances in accordance with European standard EN50160, is presented in this paper. Signal generator is divided in two parts: LabVIEW based virtual instrumentation software for defining the disturbance parameters and hardware electronics for signal generation (data acquisition card and power amplifier). The paper focus is on the design of power amplifier for scaling the data acquisition card output voltage level to the nominal power line voltage (230 V). The signal generator can be used for generation of reference signals useful for testing the power quality measuring instruments and various algorithms for power quality disturbance detection. In such manner, this PC based signal generator can be used as suitable and cost effective alternative to the instruments for testing the power quality meters and analyzers. According to the relevant document – ISO Guide to the Expression of Uncertainty in Measurement, for detailed metrological assessment of developed signal generator, calculation and presentation of measurement uncertainty budget is performed.

An automatic impact device system, which consists of a combination of computer controlled linear solenoid and force sensor was developed to replace an Integrated Circuit Piezoelectric (ICP) impact hammer in conventional Experimental Modal Analysis (EMA) procedure. A dedicated electrical circuit was constructed to transform an artificial signal generated by virtual instrumentation software into an analog output for driving and controlling the solenoid motion. Under the present configuration, the solenoid was positioned vertically above the force sensor that was mounted on a tested structure. The gap between the solenoid end-effector and the force-sensing pad was adjusted to obtain the optimum characteristics of the generated input force signal. This includes attaining the maximum amplitude from the impact along with the establishment of single impulse profile onto the tested structure under different operating conditions. For the validation purpose, the acquired input signal along with the natural frequency of the structure was systematically compared with the results generated under the conventional EMA procedure. The present results have demonstrated that the new system is capable to match the performance of the currently used impact hammer system in terms of providing reliable input force and modal parameter at static condition of the structure. Further, due to its capability to provide periodical impact onto the structure, the introduced system can also be extended to conduct EMA under operational condition which paves a new paradigm for vibration analysis of structures with running harmonics.

One of the most elementary concepts in freshmen Electrical Engineering subject comprises the Resistance–Inductance–Capacitance (RLC) circuit fundamentals, that is, their time and frequency domain r...

Online monitoring of high-voltage (HV) equipment is a vital tool for early detection of insulation failure. Most insulation failures are caused by partial discharges (PDs) inside the HV equipment. Because of the very high cost of establishing HV equipment facility and the limitations of electromagnetic interference-screened laboratories, only a few educational and research institutes have facilities to carry out PD research studies. A remotely operated HV laboratory, i.e., the Virtual Instrumentation and Information and Communication Technologies (VI-ICT) facility, has been created to raise interest among students, researchers, and industrial users in the hands-on experimentation of PD activity inside HV power equipment. This paper describes the approaches to and mechanism for hands-on experimentation in PD detection and measurement and how this is conducted remotely using the facility. This remotely operated HVPD laboratory, as well as hosting the HV laboratory course, can provide training and testing for industry and utilities around the world.

An unconstrained visual display terminal (VDT) visual fatigue monitoring method based on BCG is studied. A VDT visual fatigue test is designed and implemented in this study, also acceleration signals are obtained by using an acceleration sensor, which is installed on the seat back. Then, BCG is obtained by adaptive threshold wavelet denoising, FFT, frequency domain filtering in the range of heart rate, and IFFT. Low frequency (LF) is extracted after the RR interval and JJ interval are calculated by the wavelet algorithm. Curves of two kinds of LF with the usage of VDT were obtained and were identical. Thus, the authors can draw conclusions that BCG can replace ECG to achieve unconstrained monitoring of VDT visual fatigue and LF gradually increases with VDT visual fatigue becoming more and more serious. Finally, we compare LF curves of BCG and ECG during use VDT to draw a conclusion that BCG can replace ECG to monitor VDT visual fatigue in an unconstrained way. Also, the confidence interval is used to verify the reliability of SD subjective evaluation, and the conclusion is reliable.

This article focus on experimental evaluation of least mean squares (LMS) algorithm functionality in the form of software defined channel equalizer. Transmission channel is modelled for deployment in visible light communications (VLC), which can be impaired by multiple elements such as multipath transmission, intersymbol interference (ISI), etc. Equalizer is thoroughly tested in designed virtual device that allows modelling of different disturbance types, respectively different signal propagation models. Experiments are performed on multistate quadrature amplitude modulation (M-QAM). Results are evaluated by error vector magnitude (EVM) and modulation error rate (MER). In the conclusion, simulated results are compared to the real measured values of VLC technology.

The LabVIEW-based educational atomic force microscope (AFM) with National Instruments Educational Laboratory Virtual Instrumentation Suite (NI ELVIS) as the controller platform was built previously. However, it has limited function. Modification is needed to enhance the graphical user interface (GUI) so that more advanced features can be integrated into the existing platform. In this study, the force measurement function is introduced into the existing AFM system. Other additional features such as calibration of the cantilever spring constant and data storage are integrated into the system as well.

Thanks to the development of information and communication technologies, the application of telematic instrumentation allows the implementation of a virtual instrumentation system that contains an electronic interface with remote co-communication that gives medical personnel the facility to communicate at a distance between the nursing assistant and the patients, in such a way that the medical professional can perform monitoring and control in the treatment of neuromuscular diseases, regardless of the place of origin where the patient is located.