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Today, computer-based training is developing rapidly. The visual education is also quite commonly used in higher education as well as in primary and secondary education. The tablets, smart boards and computers constitute the basis of visual education. Visual education has many advantages, such as learning faster, memorability and in terms of paper expenses. The visual animations and presentations...
Rail defect detection has a great importance for railway transportation. Because faults on the rails cause to problems such as the cost, the disruption of transportation and the safety. In this study, based real-time video processing algorithm used Morphological feature extraction is recommended to detection defects on railroad. The rail is detected by applying Hough Transform and image processing...
Today, railway systems are one of the most preferred means of transportation worldwide. Some faults may occur on railway tracks due to several reasons and such faults may cause accidents. For this reason, railway tracks should be periodically inspected. In this study, a study was performed which was aimed to locate possible faults such as cracks, holes and wear on rail surfaces fast and with high...
In recent years, the importance of railway transport increases with the development of fast trains. Maintenance of this train should be performed at an early stage for safety and reliability. Because pantograph-catenary system is used to transmit the energy to the train in most of the electric trains, the early detection of the problems occurred in these systems are very important. In this study,...
Induction motors are the most utilized motor types of industrial applications. They are robust and have a simple structure. However, they can be exposed to some faults because of hostile environments. Many methods have been proposed for detection of faults at line-feed induction motors. However, fault diagnosis methods for inverter-fed induction motors are quite limited. In this study, a new fault...
Todays, the number of vehicles is rapidly increasing. In parallel, the number of ways and traffic signs have increased. As a result of increased traffic signs, the drivers are expected to learn all the traffic signs and to pay attention to them while driving. A system that can automatically recognize the traffic signs has been need to reduce traffic accidents and to drive more freely. Traffic sign...
Rail transportation systems, which are commonly used in today's world, should be inspected at certain intervals for possible accidents. During the rail inspection, the physical vibration on rail lines causes a blurring effect on the images. Doing deblurring automatically requires information of blurring rates and specifying the parameters accordingly for deblurring. With this purpose, a test equipment...
Railway systems are one of the most preferred transport means worldwide. Some faults may occur on railway tracks due to several reasons and such faults may cause accidents. For this reason, railway tracks should be periodically inspected. In this study, a computer vision based approach was proposed for inspecting the faults in railway tracks. It was aimed to inspect the faults which may occur on rail...
The major developments in digital imaging are provided thanks to the development of a digital image sensor. Camera arrays are one of the studies in this area. The camera array is formed by combining a many image sensors having the same characteristics. High resolution and high speed imaging systems can be obtained by using camera arrays. In this paper, a new feature extraction based image stitching...
Shadows on PV arrays influence the energy production performance negatively. There are many methods in the literature related to the detection of these shadows and reconfiguration of arrays. The methods proposed in the literature generally aim at reconfiguration of arrays and detecting shadow regions by using current (I), voltage (V) and power (P) information. In the process of reconfiguration it...
The shadow occurring in Photovoltaic (PV) panels is one of the important factors that effect the system's performance. In this work, the change detection algorithm is used to determine the shadow occurring on the PV panels. In order to make the change detection, first among the images of panel, an image in which there is not any shadow is determined to use as a reference, then the detection of the...
Determining the rail's breakdown has a big importance in railway access. The breakdowns of rails bring about problems such as insecurity, delay of access, and expenditure. In this work, in order to determine the breakdowns of rails using Morphological feature extraction based image processing algorithm is offered. The rail is determined through applying the image processing methods and Hough transform...
Photovoltaic cells are semiconductors which have nonlinear dynamics. Therefore, the dynamic model instead of static must be used in order to study their dynamic behaviors. Main advantage of using dynamic model is able to analyses interactions accurately and effectively in grid-connected PV power system, etc. This paper gives an approach to use of Lyapunov exponents for the stability analysis of the...
Shadow regions are detected as objects at image segmentation, object detection and tracking applications. So, it affects negatively the accuracy and performance of algorithms. In this study, artificial immune system- based negative selection algorithm (YBSG) is proposed in order to determine shadow region. This algorithm obtains fast and effective solution to detect nonlinear change shadow region...
Railway transport is getting more and more preferred mode of transportation. Railway line should be established in a robust manner because of construction of used heavy vehicles. A small fault, which occurs in the railway line, can lead to serious accidents. Therefore, the railway line should be controlled at certain time intervals. Faults detected during the control process should be repaired and...
Reconfiguration process in photovoltaic (PV) arrays is very important to improve power-voltage characteristics of the system. In this paper, a new reconfiguration method based on neural network is proposed for PV arrays under partial shadow conditions. A new connection control algorithm based on artificial neural network is presented by the proposed method. This method includes fixed part and adaptive...
This paper proposes a new approach for reconfiguration of PV array. The proposed method is designed for series and parallel connected array which is widely used in practical. The developed control algorithm for this method uses panel irradiance values and decisions which adaptive panels connect to string of array. The algorithm considers irradiance level deviation from average value of each string...
Partial shading in photovoltaic (PV) arrays is an important factor that decreases the performance of the system. The reconfiguration process that uses to change of panel connections in array aims to increase of efficiency of PV array in partial shading conditions. However, optimal layout of panels with partial shading and number of switching matrixes cannot be determined exactly. In this study, an...
Pantograph-catenary system is the most important component for transmitting the electric energy to the train. If the faults have not detected in an early stage, energy can disrupt the energy and this leads to more serious faults. The arcs occurred in the contact point is the first step of a fault. When they are detected in an early stage, catastrophic faults and accidents can be avoided. In this study,...
The reconfiguration process in photovoltaic (PV) arrays is very important to obtain maximum power under partial shading conditions. Connection architecture of array for this process is changed according to status of non-uniform shadows. However, finding of best connection in big PV arrays is hard in real-time. In this paper, a new efficient and intelligent reconfiguration approach based on partitioning...
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