Papers by Keyword: Real-Time

Abstract: The increasing adoption of automation and robotics to ease the complexities and stress involved in the transportation sector of the world has given birth to autonomous driving vehicles. It began with automating some parts of the system, such as the brake system, the gear system, navigation, and the like; these have grown to full autonomous systems of automobiles. However, autonomous vehicle designs available to date were all designed for urban communities where there are paved roads with signs. There is therefore a need to extend the technology to rural environments. The unique challenges presented by rural areas, such as complex and dynamic terrains, varying road conditions, limited infrastructure, and sparse population density, necessitate a dedicated focus on simulation. This study aims to contribute by designing and implementing a 3D simulation platform tailored to Nigerian road challenges. The methodology involves the design and simulation of an autonomous vehicle (AV) in a 3D environment using Unity Engine technology and C# programming. It covers the creation of a virtual environment that accurately represents Nigerian landscapes, the design of the AV, including the integration of virtual components, and the programming of vehicle dynamics. The programming of the autonomous vehicle involves path finding through Unity's NavMesh, sensor detection using ray casting, and a system for adjusting speed and steering based on sensor data. The methodology also outlines the development of a user interface for real-time information display. The modeled autonomous driving vehicle was tested by introducing obstruction from a 1m to 5m range while the vehicle was at a steady speed of 50 mph, and it stopped within an average period of 0.3 s. The distance of the obstruction was also fixed at 5m, while the speed of the vehicle was varied as 10mph, 20mph, 30mph, 40 mph, and 50 mph, and it stopped at 0.1 0.1s, 0.18s, 0.26s, 0.29 s, and 0.31 s, respectively. This study has shown the possibility of using autonomous driving vehicles in rural communities and on unpaved roads, which are common in developing countries of the world.

Abstract: Currently, the predominant methodology for assessing air quality in Thailand entails the deployment of air quality monitoring stations. In particular, EGAT's power facilities presently employ such stations for air quality assessment. The use of drones for air quality measurements reduces the variability of measurements and can determine the primary source of the air pollution. Therefore, the air quality monitoring system by unmanned aerial vehicles or drones will be a guideline that can be used to effectively reduce the time and cost of air quality monitoring in and around EGAT's power plants. The objective of this endeavor is to engineer a drone system integrated with specialized sensors for the purpose of real-time monitoring and data acquisition of air quality parameters, with results seamlessly relayed to an Internet of Things (IoT) platform. Applying drone is successful to implement air quality monitoring which parameters are PM2.5 and PM10. This drone can monitor particulate matter at both PM2.5 and PM10 concentration while this monitoring data is recorded and sent to an IOT platform, called Things.egat.co.th platform. In this experiment, the result shows that the air quality data from drone is comparable with the data of EGAT’s air quality mobile station. The results of PM2.5 and PM10 concentration were real-time displayed in the dashboard as graphs. This graphical interface facilitates comparisons over time, accessible via mobile phones or computers with uninterrupted internet connectivity. The average relative errors for PM concentrations measured by the cost-effective air quality monitoring drone systems stand at 7%, signifying a reliable means for monitoring particulate matter within an atmospheric context. It is therefore, established that this advancement in drone technology for Air Quality Monitoring attains the status of low-cost prototype of particulate matter monitoring drone system tailored for EGAT.

Abstract: As a country with the world's sixth-largest population with 11.22% poor population, Indonesia encounters health problems as one of the main issues. According to the Progress Report in Asia & the Pacific, Indonesia is still experiencing delays in the process of achieving the Millennium Development Goals. This study aimed to produce technological innovations related to the monitoring of oxygen saturation and heartbeat using the Telemedicine Smartphone System (TMSS). The contribution of this research is the resulting technological innovations related to the field of telemedicine that can be applied by Indonesian people at affordable prices. The monitoring tools will be effective and efficient when the tools are made with real-time monitoring of SpO2 and BPM using the TMSS system to improve Indonesia's development of health services. This design uses a fingertip sensor to detect oxygen saturation in the blood and an ear clip sensor to detect heartbeats, both sensors have an analog output which is conditioned in the Analog Signal Conditioning (ASC) circuit. The ASC’s output is processed on AT mega 328P. The resulting data is further displayed on the Liquid Character Display (LCD). Data are also sent via HC-05 Bluetooth and displayed on an Android Smartphone with SMS notifications. Based on the measurement results, the greatest error value was 0.220%, while the smallest was 0.055% on the SpO2. BPM had the largest error value of 2.33392%, while the smallest was 0.2283%. This research can be implemented into the transmission system using TMSS to improve the development of health services in Indonesia.

Abstract: This paper presents the review of available visual water quality monitoring and proposes a conceptual sonification model of audiovisual analytics for precision aquaculture. This study reviews the current practice of the visual water quality monitoring system used to interpret the complex fish farming data. This study also explores the possibility of using an auditory display, by using sound as complementary elements to communicate information from the system to the user.

Abstract: Electrical impedance tomography (EIT) is a perspective vital imaging method in medicine. Although the paper deals mainly with medicine application, the potential of EIT is also in the field of a novel material testing. EIT belongs to non-invasive methods. It is used mainly for the area of thorax since thorax exhibits the biggest changes in impedance. The lungs are mostly filled with air while surrounding flesh has impedance similar to water. However EIT has several drawbacks: relatively big measurement inaccuracy, blurred obtained images, difficulties in application of electrodes and problems with repeatability of measurements. Many drawbacks can be limited when an absolute tomography is used, though absolute tomography is very challenging and is rather only a laboratory concept then a real working method. This article deals with a robust method which is closely related to absolute tomography imaging while viable in clinical practice and to non-invasive material description in general. A unique measuring device VERA was developed. Such a device helps with fast application of electrodes and enables to get reproducible and reliable images of thorax or other volumes in engineering. The paper also discusses challenges when choosing a mediator material or liquid for EIT function. The concept of stiff framework for electrodes which is applied to patient is unusual but exhibits many advantages resulting in better images.

Abstract: The main objective of the work is the development of methods, algorithms and software to identify real-time features of the time-frequency characteristics of electromagnetic radiation in the digital data radio receiver different wavelength ranges.

Abstract: With the rapid development of computer technology, it is widely used in the control field, including advanced alarm plane,cruise missile,radar,O-E theodolite,etc. The increasing complex and real-time arithmetic was applied in the ATP(Acquire Tracking Pointing) system of the control system for boosting the track、captring and pointing precision of O-E(photo-electric) theodolite, so it demanded the servo controller must complete more and more operations in shorter time. While the actual O-E theodolite accomplished the capture and tracking etc. based on PC104 system, so designed the servo control system based on embedded chip as CPU from the practicality, not only decreases the cubage of the system, but also increases the reliability and precision.

Abstract: A new classified real-time flood forecasting framework was presented. Firstly, the historical floods were classified by K-means cluster, according to the hydrological factors. Then rough set was used to extract operation rules for flood forecasting. Following, the conceptual hydrological model was constructed and Genetic Algorithm (GA) was used to calibrate the hydrological model parameters. In simulation, River A is taken as study example. The categories of parameters are selected in operation according to flood information and rules. The result is compared with traditional flood forecasting. It demonstrates the performance of classified framework is improved in terms of accuracy and reliability.

Abstract: This paper mainly surveys the state-of-the-art on real-time communicaton in industrial wireless local networks(WLANs), and also identifys the suitable approaches to deal with the real-time requirements in future. Firstly, this paper summarizes the features of industrial WLANs and the challenges it encounters. Then according to the real-time problems of industrial WLAN, the fundamental mechanism of each recent representative resolution is analyzed in detail. Meanwhile, the characteristics and performance of these resolutions are adequately compared. Finally, this paper concludes the current of the research and discusses the future development of industrial WLANs.

Abstract: In the area of manufacturing and industrial engineering, variance calculation is the basic method to monitor the performance of instrument. The new improved method of real-time variance calculation is put forward in this paper to calculate the variance of experiment data, despite of zero or non-zero mean value data, Then it is possible to calculate the variance of any kind data at real time without save the historical data. Experiment results shows that the new method for calculate the variance can greatly improve the calculating efficiency with high precision..