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The purpose of this research work is to design and apply LabVIEW in the area of traffic maintenance and flow, by introducing improvements in the smart city. The objective is to introduce the automated human–machine interface (HMI) – a computer-based graphical user interface (GUI) – for measuring the traffic flow and detecting faults in poles.

This research paper is based on the use of LabVIEW for designing the HMI for a traffic system in a smart city. This includes considerable measures that are: smart flow of traffic, violation detection on the signal, fault measurement in the traffic pole, locking down of cars for emergency and measuring parameters inside the cars.

In this paper, the GUIs and the required circuitry for making improvements in the infrastructure of traffic systems have been designed and proposed, with their respective required hardware. Several measured conditions have been discussed in detail.

PJRC Teensy 3.1 has been used because it contains enough general-purpose input–output (GPIO) pins required for monitoring parameters that are used for maintaining the necessary flow of traffic and monitor the proposed study case. A combination of sensors such as infrared, accelerometer, magnetic compass, temperature sensor, current sensors, ultrasonic sensor, fingerprint readers, etc. are used to create a monitoring environment for the application. Using Teensy and LabVIEW, the system costs less and is effective in terms of performance.

The microprocessor board shields for placing actuators and sensors and for attaching the input/output (I/O) to the LED indicators and display have been designed. A circuitry for scaling voltage, i.e. making sensor readings to read limits, has been designed. A combination of certain sensors, at different signals, will lead to a secure and more durable control of traffic. The proposed applications with its hardware and software cost less, are effective and can be easily used for making the city’s traffic services smart. For alarm levels, the desired alarm level can be set from the front panel for certain conditions from the monitoring station. For this, virtual channels can be created for allowing the operator to set any random value for limits. If the sensor value crosses the alarm value, then the corresponding alarm displays an alert. The system works by using efficient decision-making techniques and stores the data along with the corresponding time of operation, for future decisions.

This study is an advanced research of its category because it combines the field of electrical engineering, computer science and traffic systems by using LabVIEW.

With the widespread use and development of automobile, much attention has been paid to its security issues. So to ensure the driving safety, the automobile must be equipped with good braking performance. In the process of braking, the friction from friction pair causes continuous wear and tear of the surface of brake lining and increases the gap between break pairs, until the lining is not being used (Belhocinea et al., 2014); thus, it is very important to detect the lining wear rate.

This paper designed the automobile brake friction test wear rate detection system based on Labview.

Through the detect data, we find that the automobile brake lining wear rate detection system has higher detect accuracy, in the process of detection, the brake lining without the defects such as cracks and bulges, which shall effect the normal use, the lining has no remarkable scratch to disk friction surface, can completed meet the requirements of users.

The automobile brake friction test wear rate detecting system adopts the components of USB-9211 DAQ, optoNCDT1700 non-contract high accuracy displacement sensor, in addition the Labview software to complete the functions such as lining wear rate real time detection, data multichannel real time acquisition, display, and storage record, etc., and uses LabSQL to import the detecting data to Microsoft Access database, which can satisfy the demands of various customers. Moreover, the wear rate real time detection can reflect the lining’s wear regulation of different manufacturers and different material and provide a reliable basis for selecting the appropriate lining material and predicting the lining’s lifetime.

The purpose of this paper is to present a remote lab and a web‐based teaching environment which provides access for remote control of Digital Signal Processors (DSP device) and real instrumentation. The framework, named eDSPLab, has been designed using LabVIEW for debugging and testing Digital Signal Processing (DSP) experiments in a real lab without physical and temporal restrictions, and it has been integrated as a service in a modern e‐learning application domain and a Learning Management System (LMS) to reinforce its utility.

A literature review is presented to provide background to the progressive role that DSP and DSP devices play in Information and Communications Technology (ICT)‐demanded job profiles, and the role that a computer‐mediated environment plays in modern teaching methodologies. The web service access control architecture is defined.

The paper provides new insights into the use of the Internet for laboratory teaching.

This research was limited to one particular remote lab. Results could be extended if students' perceptions and their acceptance of the new e‐learning technology are examined using an information system theory, such as the Technology Acceptance Model (TAM).

This paper fulfils a need for adapting the teaching methodology applied in an undergraduate Advanced Microprocessor course of the Telecommunication Engineering degree at the University of Seville, Spain, allowing the development of laboratory experiments anywhere and anytime, avoiding one of the problems in lab training: the low number of laboratory working places in relation to the high number of enrolled students. The system developed has been successfully used during the last academic years in a course involving more than 200 students.

The purpose of this study is to design a wearable medical device as a human care platform and to introduce the design details, key technologies and practical implementation methods of the system.

A multi-channel data acquisition scheme based on PCI-E (rapid interconnection of peripheral components) was proposed. The flexible biosensor is integrated with the flexible data acquisition card with monitoring capability, and the embedded (device that can operate independently) chip STM32F103VET6 is used to realize the simultaneous processing of multi-channel human health parameters. The human health parameters were transferred to the upper computer LabVIEW by intelligent clothing through USB or wireless Bluetooth to complete the transmission and processing of clinical data, which facilitates the analysis of medical data.

The smart clothing provides a mobile medical cloud platform for wearable medical through cloud computing, which can continuously monitor the body's wrist movement, body temperature and perspiration for 24 h. The result shows that each channel is completely accurate to the top computer display, which can meet the expected requirements, and the wearable instant care system can be applied to healthcare.

The smart clothing in this study is based on the monitoring and diagnosis of textiles, and the electronic communication devices can cooperate and interact to form a wearable textile system that provides medical monitoring and prevention services to individuals in the fastest and most accurate way. Each channel of the system is precisely matched to the display screen of the host computer and meets the expected requirements. As a real-time human health protection platform technology, continuous monitoring of human vital signs can complete the application of human motion detection, medical health monitoring and human–computer interaction. Ultimately, such an intelligent garment will become an integral part of our everyday clothing.

The purpose of this paper is to achieve the acceleration of 3D object transformation using parallel techniques such as multi-core central processing unit (MC CPU) or graphic processing unit (GPU) or even both. Generating 3D animation scenes in computer graphics requires applying a 3D transformation on the vertices of the objects. These transformations consume most of the execution time. Hence, for high-speed graphic systems, acceleration of vertex transform is very much sought for because it requires many matrix operations (need) to be performed in a real time, so the execution time is essential for such processing.

In this paper, the acceleration of 3D object transformation is achieved using parallel techniques such as MC CPU or GPU or even both. Multiple geometric transformations are concatenated together at a time in any order in an interactive manner.

The performance results are presented for a number of 3D objects with paralleled implementations of the affine transform on the NVIDIA GPU series. The maximum execution time was about 0.508 s to transform 100 million vertices using LabVIEW and 0.096 s using Visual Studio. Other results also showed the significant speed-up compared to CPU, MC CPU and other previous work computations for the same object complexity.

The high-speed execution of 3D models is essential in many applications such as medical imaging, 3D games and robotics.

Weblabs are an additional resource in the execution of experiments in control engineering education, making learning process more flexible both in time, by allowing extra class laboratory activities, and space, bringing the learning experience to remote locations where experimentation facilities would not be available. The purpose of this paper is to investigate and report on a weblab project where the speed of a DC motor is controlled in closed loop, being the control system parameters set by the remote user (student).

The engine control experiments are run and on‐line transmitted by videoconference over the internet, from a didactical plant physically located at the Systems and Automation Laboratory of the Control and Automation Engineering department of the Pontifical Catholic University of Parana. The system response (transient motor speed) to the user's choice of parameters is evaluated through performance indices (IAE, ITAE), which are used to qualify the ability of the student to tune PID and RTS control algorithms. There is an option to run experiments in open loop, so the student can perform preliminary analysis to identify the system dynamic model and then apply mathematical models and computational methods, learned in theoretical classes, to define best performance control parameters. A simulation function was implemented, to further help the student in the problem solution. Virtual instrumentation resources were used to implement the Weblab, using the DC motor of a laboratory didactical plant. A local server runs a LabVIEWTM application, which can be remotely accessed in the client side through a web browser, where the system front panel is reproduced. This remote interface is directly originated at the LabVIEWTM application, through an embedded web server. At the user request, the control of the remote system is granted. The user interface is cognitive, with motor speed, control signal, set point and all the pertinent information displayed in evolving charts and indicators. Microsoft™ Skype is used to establish a videoconference with the laboratory where the plant is located. Results of the user experiments are stored in local files, which can be e‐mailed to the user at his command by the end of the session.

Used as a platform in weblab projects, LabVIEW combined with Skype provides a suitable solution for the necessary software/hardware integration for communications with data acquisition systems and advanced connectivity resources. In virtual instrumentation Skype has proved to be efficient in establishing the right environment without the need for developing complex software for teaching practical control engineering concepts.

The level of performance (speed of acquisition, accuracy and number of parameters that could be evaluated) of the current system would need to be evaluated compared to some existing systems. The implication is the changes brought to the adopted approach to the development of, access to and the overall cost of producing virtual laboratory systems used for science, engineering and technology education.

With further effort, the current and similar systems could be further upgraded with user login control and server, so that results can be submitted to the tutor, thus acting as a learning evaluation instrument.

The originality of this research lies in the innovative integration of technology in education, which involves the implementation of a carefully designed, cost‐effective virtual laboratory for teaching and learning of concepts in control engineering.

This study aims to propose optimised function-based evolutionary algorithms in this research to effectively replace the traditional electronic circuitry used in linearising constant temperature anemometer (CTA) and Microbridge mass flow sensor AWM 5000.

The proposed linearisation technique effectively uses the ratiometric function for the linearisation of CTA and Microbridge mass flow sensor AWM 5000. In addition, the well-known transfer relation, namely, the King’s Law is used for the linearisation of CTA and successfully implemented using LabVIEW 7.1.

Investigational results unveil that the proposed evolutionary optimised linearisation technique performs better in linearisation of both CTA and Mass flow sensors, and hence finds applications for computer-based flow measurement/control systems.

The evolutionary optimisation algorithms such as the real-coded genetic algorithm, particle swarm optimisation algorithm, differential evolution algorithm and covariance matrix adopted evolutionary strategy algorithm are used to determine the optimal values of the parameters present in the proposed ratiometric function. The performance measures, namely, the full-scale error and mean square error are used to analyse the overall performance of the proposed approach is compared to a state of art techniques available in the literature.