Models of Measuring Signals and Fields

Babak, Vitalii; Babak, Serhii V.; Eremenko, Volodymyr; Kuts, Yurii; Myslovych, Mykhailo V.; Scherbak, Leonid; Zaporozhets, Artur

doi:10.1007/978-3-030-70783-5_2

Cited by 27 publications

(4 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, installing vehicle detection sensors on roundabout approaches paired with adaptive signals could smooth upstream flow rates, reducing entry queues. Likewise, tracking volumes on each arm and visually conveying congestion status through digital signs allows drivers to approach with more awareness and appropriate speeds (22,23) . Vehicle-to-infrastructure connectivity even shows promise for hazard notifications when a conflict arises with a pedestrian or other vehicle.…”

Section: Figure 5 Results For Each Methods Of Estimating the Critical...mentioning

confidence: 99%

Variable’s prediction of gap acceptance roundabout capacity model – Critical gap

Majid,

Ali

2023

Innovaciencia

View full text Add to dashboard Cite

Introduction: The research relevance is determined by the assessment of the capacity of roundabouts and their efficiency are extremely important topics in transport engineering research. As road networks are constantly growing in size and complexity, congestion and insufficient flow capacity are becoming serious problems for traffic. The research aims to determine the critical interval at a certain roundabout using several statistical methods and to compare the results obtained by each of them, respectively. Material and Methods: The statistical methods used in the study included the Ruff, Wu, Troutbeck, Ashworth, and standard deviation methods. Results and Discussion: The results of the study show that the difference between the five methods is minimal, although each method has its characteristics. The analysis of the critical interval for the left and right bands showed that different methods may vary in their estimates, but the overall picture remains within acceptable convergence. The difference between the Wu method and the other methods was found to be negligible, except for the Ashworth method, which has a significant difference in the definition of the critical interval. Conclusion: Thus, all five methods can generally be used to calculate the critical interval at roundabouts. However, due to its simplicity and reliability, the Wu method was recommended for use. The practical significance of the study is that the results provide important guidance and information for the design and management of roundabouts. Estimation of the critical spacing is key to determining the optimal traffic flow regime, which affects safety, flow capacity and convenience for drivers.

show abstract

Section: Figure 5 Results For Each Methods Of Estimating the Critical...mentioning

confidence: 99%

Variable’s prediction of gap acceptance roundabout capacity model – Critical gap

Majid,

Ali

2023

Innovaciencia

View full text Add to dashboard Cite

show abstract

“…One of the key advantages of this study is its relevance in the modern context. In particular, measuring the height of cracks turns out to be a critical task in ensuring the safety and reliability of infrastructure facilities (Babak et al, 2021). The importance of this study is emphasized by the fact that in the nuclear industry, this issue is becoming Application of the regression neural network... particularly relevant to prevent possible accidents.…”

Section: Discussionmentioning

confidence: 99%

Untitled

2024

Tehnìka ta energetika

View full text Add to dashboard Cite

The relevance of the study is to develop an effective system for controlling the pressure in the air supply in motorised breathing apparatus to ensure effective protection of employees from dangerous aerosols and improve their health. The goal was to create an automated air pressure control system in a motorised breathing apparatus using a proportional-integral-derivative controller. For this purpose, the simulation method was used. In order to avoid unforeseen situations of deterioration of the level of protection, the structure of the pressure control system of a motorised respirator has been developed with the selection of the appropriate controller based on the obtained dependences of the influence of the parameters of the breathing mode and the amount of pressure in the under-mask space of the respirator, which ensures an appropriate comfortable mode of operation. This allowed developing a simulation model with a PID controller that would provide the appropriate pressure values within the permissible limits (50-370 Pa). It is proved that the proportional-integral-derivative controller maintains the pressure in the respirator mask within certain limits both with an increase and with a decrease in the control signal, preventing excessive fluctuations in the controlling variable, which leads to an extension of the service life of the filter elements and a reduction in electricity consumption for the operation of the fan motor. Based on modelling the operation of the pressure control system in different modes of operation, it is shown that when using a PID controller with defined parameters, the system provides compensation for changes in air

show abstract

Section: Discussionmentioning

confidence: 99%

Application of the regression neural network for the analysis of the results of ultrasonic testing

Andriievskyi,

Spivak,

Gogota

et al. 2024

Tehnìka ta energetika

View full text Add to dashboard Cite

Conducting a study on this topic becomes relevant due to the great importance of the safety of critical infrastructure facilities and the presence of operational defects in equipment elements and pipelines, which poses serious threats, including the possibility of equipment destruction and negative environmental impact. The purpose of this work is to study the possibility of using the diffraction-time technique of ultrasonic non-destructive testing together with a deep convolutional neural network to accurately determine the numerical value of the height of an operational crack. The methods used include the analytical method, classification method, functional method, statistical method, synthesis method, and others. The study found that an automated approach to measuring crack height, based on diffraction signals and the use of neural networks, significantly improved the quality and accuracy of non-destructive testing. Ultrasonic testing is one of the most common inspection methods for detecting service cracks and is considered to be the most effective. It allows for reliable detection of defects and determination of their size without destroying the product. The results of the study emphasize the high potential and efficiency of the method in analysing the data obtained and provide confirmation of its applicability for determining the condition of objects during ultrasonic inspection. The paper emphasizes that these technologies are particularly important and effective. It is noted that their widespread use in various industries, such as medicine, aviation, and machine learning, demonstrates their power in solving complex problems. The practical significance of the work lies in the development of advanced approaches that provide new insights and methods to improve the efficiency of analysing the results, which can be applied in industry to improve the quality of control and reliability of technical facilities

show abstract

Models of Measuring Signals and Fields

Cited by 27 publications

References 45 publications

Variable’s prediction of gap acceptance roundabout capacity model – Critical gap

Variable’s prediction of gap acceptance roundabout capacity model – Critical gap

Untitled

Application of the regression neural network for the analysis of the results of ultrasonic testing

Contact Info

Product

Resources

About