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Öğe AN ALGORITHM TO DETECT THE RETINAL REGION OF INTEREST(Copernicus Gesellschaft Mbh, 2017) Sehirli, E.; Turan, M. K.; Demiral, E.Retina is one of the important layers of the eyes, which includes sensitive cells to colour and light and nerve fibers. Retina can be displayed by using some medical devices such as fundus camera, ophthalmoscope. Hence, some lesions like microaneurysm, haemorrhage, exudate with many diseases of the eye can be detected by looking at the images taken by devices. In computer vision and biomedical areas, studies to detect lesions of the eyes automatically have been done for a long time. In order to make automated detections, the concept of ROI may be utilized. ROI which stands for region of interest generally serves the purpose of focusing on particular targets. The main concentration of this paper is the algorithm to automatically detect retinal region of interest belonging to different retinal images on a software application. The algorithm consists of three stages such as pre-processing stage, detecting ROI on processed images and overlapping between input image and obtained ROI of the image.Öğe Application of exploratory spatial techniques in the identification of tourism hotspots in the aegean region of Turkey(International Society for Photogrammetry and Remote Sensing, 2020) Rafique, A.; Karas, I.R.; Abujayyab, S.K.M.; Khan, A.A.; Demiral, E.Exploratory Spatial Analysis Techniques (ESDA) have become popular to identify the spatial association of different variables in many fields of natural and social sciences. The application of Global Moran's I statistics enables us to provide visual insights of spatial data. It helps to detect spatial patterns and hotspots of an activity or process, based on spatial autocorrelation. This study aims to investigate the spatial dependence of domestic and inbound tourist arrivals to 123 cities of all eight provinces of the Aegean Region of Turkey. For analysis, city-level data about domestic and inbound tourist arrivals during 2015-2019 is collected from the Turkish Ministry of Culture and Tourism and is converted to logarithm form to avoid any skewness. The Arc GIS and GeoDa programs are employed for the analysis of spatial autocorrelation and visualization of hotspots of tourist flows in the regions. The results of the study reveal that tourist flows in the region are concentrated in the coastal areas, while inland cities receive an insufficient number of tourists. The hotspots of tourist flow are located mostly in the coastal towns of the provinces of Izmir, Aydin, and Mugla. The study is significant in the provision of useful information regarding resource allocation to the tourism hotspots and the implication of sustainable tourism policy to better utilization of tourism potential. © 2020 International Society for Photogrammetry and Remote Sensing. All rights reserved.Öğe Design of indoor robot prototype guided by rfid based positioning and navigation system(International Society for Photogrammetry and Remote Sensing, 2021) Demiral, E.; Karas, A.R.; Karakaya, Y.; Kozlenko, M.In this study, a robot prototype was designed for indoor spaces guided by an RFID-based positioning and navigation system. First, the work area was prepared from cardboard material and RFID cards were placed at predetermined points in the work area. The unique ID number of each RFID card was defined and the coordinates of their location in the work area are known. The RFID reader in the robot prototype reads from less than 5 cm. With a basic approach, when the robot reads an RFID card that it passes over while in motion, the position of the robot is considered the same as the position of the card it is currently reading. The route is defined for the robot prototype whose location is known before starting the movement. When the robot reads a new RFID card during movement, it must move forward or turn left or right to reach the point where the next RFID card is located according to the route. This decision was predetermined and defined according to its location. Alphabot was used as the prototype. Arduino board and additional auxiliary sensors such as gyro sensor, speed sensors, distance sensors are placed on the prototype. The prototype robot is left at any point in the work area and arrives at a target point determined by the user. The required road route to reach the destination is calculated with the shortest path algorithm depending on the road network on the working area and the route is defined. Thus, it is ensured that the prototype reaches the target without any external intervention by the user other than target determination. © Author(s) 2021. CC BY 4.0 License.Öğe Developing a 3D routing instruction engine for indoor environment(Springer Verlag, 2017) Karas, I.R.; Atila, U.; Demiral, E.The need for 3D visualization and navigation within 3D-GIS environment is increasingly growing and spreading to various fields. When we consider current navigation systems, most of them are still in 2D environment that is insufficient to realize 3D objects and obtain satisfactory solutions for 3D environment. For realizing such a 3D navigation system we need to solve complex 3D network analysis. The objective of this paper is to investigate and implement 3D visualization and navigation techniques and develop 3D routing instruction engine for indoor spaces within 3D-GIS. As an initial step and as for implementation a Graphical User Interface provides 3D visualization based on CityGML data, stores spatial data in a Geo-Database and then performs complex network analysis. By using developed engine, the GUI also provides a routing simulation on a calculated shortest path with voice commands and visualized instructions. © Springer Nature Singapore Pte Ltd. 2017.Öğe INDOOR NAVIGATION DESIGN INTEGRATED WITH SMART PHONES AND RFID DEVICES(Copernicus Gesellschaft Mbh, 2015) Ortakci, Y.; Demiral, E.; Atila, U.; Karas, I. R.High rise, complex and huge buildings in the cities are almost like a small city with their tens of floors, hundreds of corridors and rooms and passages. Due to size and complexity of these buildings, people need guidance to find their way to the destination in these buildings. In this study, a mobile application is developed to visualize pedestrian's indoor position as 3D in their smartphone and RFID Technology is used to detect the position of pedestrian. While the pedestrian is walking on his/her way on the route, smartphone will guide the pedestrian by displaying the photos of indoor environment on the route. Along the tour, an RFID (Radio-Frequency Identification) device is integrated to the system. The pedestrian will carry the RFID device during his/her tour in the building. The RFID device will send the position data to the server directly in every two seconds periodically. On the other side, the pedestrian will just select the destination point in the mobile application on smartphone and sent the destination point to the server. The shortest path from the pedestrian position to the destination point is found out by the script on the server. This script also sends the environment photo of the first node on the acquired shortest path to the client as an indoor navigation module.Öğe Mobile-web-base volunteered geographic information application and geometric accuracy analysis for traffic accidents(International Society for Photogrammetry and Remote Sensing, 2020) Sevinç, H.K.; Karas, I.R.; Demiral, E.The users can contribute to geographic information through platforms such as Wikimapia and OpenStreetMap. They can also generate data by themselves with their applications in cyber worlds like Google Earth. This study is primarily designed to be a guide regarding Volunteered Geographical Information (VGI) and to evaluate the geometric accuracy of data collected from volunteers on application. The main purpose of this study is to present basic information about Volunteered Geographical Information (VGI), why users are tending to use VGI, the accuracy of the data entered by the user, to examine the examples of use in various fields, to learn about geographic information systems and to compare this phenomenon and also by developing a VGI application to examine the similarity between the actual data and the data collected from volunteer users. A mobile and web-based application have been developed to collect traffic accident data from volunteer users. The geometric accuracy analysis was performed by comparing the data collected with this application with the data obtained from the General Directorate of Security. © 2020 International Society for Photogrammetry and Remote Sensing. All rights reserved.Öğe REAL-TIME NAVIGATION SYSTEM IMPLEMENTATION WITHIN THE SCOPE OF 3D GEOGRAPHIC INFORMATION SYSTEMS FOR MULTI STOREY CAR PARK(Copernicus Gesellschaft Mbh, 2016) Yenigun, B.; Karas, I. R.; Demiral, E.Today, a large increase in the number of vehicles in traffic with population growth and economic development are observed. This increase brings with it many problems. One of these problems is the parking problem as a result of the need to park the vehicle. Impractical and inadequate parking areas have a negative impact on drivers. To minimize these drawbacks, car parking is intended to develop a system to come to the aid of users. This system is planned to be developed which can be applied to indoor and multi-storey parking structure. Considered in this study, in the garage, drivers are intended to be directed as soon as possible in place of the convenient parking. However, the amount of fuel spent looking for parking tool that are caused by air and noise pollution, and to search for a parking lot when looking for a place to park the lost time, the resulting stress is minimized, it is expected that.Öğe RFID-based mobile positioning system design for 3D indoor environment(Conference Chairs of 3DGeoInfo 2014 in Karlsruhe, 2014) Demiral, E.; Karas, I.R.; Turan, M.K.; Atila, U.In this study, an RFID based indoor positioning system has been proposed. In the system, while RFID readers have been considered to be mobile, RFID tags have been attached on fixed positions inside building. Performance of various types of readers and tags on indoor positioning has been investigated and most appropriate tag/reader couple has been used. In the experiments of this study, geographical proximity approach has been used. As the results of tests performed on three different model proposed for indoor positioning, it has been shown that best rate for position estimations without error have been obtained from third model with the rate of approximately 76% and in the worst case, position estimation error has been obtained 2 meters. Copyright © (2014) by the corresponding authors of the papers.
