Yazar "Durduran, S. Savas" seçeneğine göre listele

Listeleniyor 1 - 8 / 8
  • Küçük Resim Yok
    Öğe
    Assessment of Groundwater Vulnerability Contamination Potential of Konya, Turkey, Using Hydrogeological Specifications and GIS
    (ASIAN JOURNAL OF CHEMISTRY, 2009) Nalbantcilar, M. Tahir; Guzel, Ahmet; Durduran, S. Savas
    The aims of this study to assess the potential groundwater contamination impacts on unconfined aquifer from which most of the drinking water in a part of Konya is withdrawn, For assessing the vulnerability, 7 hydrogeological maps are used. These maps, depth to the groundwater, net recharge, aquifer media, soil media, topography, impact of the vadose zone and hydraulic conductivity are established and overlaid in GIS for the area. The overlaid (DRASTIC index) map indicates high vulnerability potential at central areas of the city. Groundwater samples are collected from different vulnerable areas. Chemicals (As, Cd, Ni and Pb) are analyze for testing of contamination degree. It is observed that the vulnerability category determines the contamination degree. The model is a useful and correct technique for assessing the aquifer safety.
  • Küçük Resim Yok
    Öğe
    Automatic determination of traffic accidents based on KMC-based attribute weighting
    (SPRINGER, 2012) Polat, Kemal; Durduran, S. Savas
    In this study, the traffic accidents recognizing risk factors related to the environmental (climatological) conditions that are associated with motor vehicles accidents on the Konya-Afyonkarahisar highway with the aid of Geographical Information Systems (GIS) have been determined using the combination of K-means clustering (KMC)-based attribute weighting (KMCAW) and classifier algorithms including artificial neural network (ANN) and adaptive network-based fuzzy inference system (ANFIS). The dynamic segmentation process in ArcGIS9.0 from the traffic accident reports recorded by District Traffic Agency has identified the locations of the motor vehicle accidents. The attributes obtained from this system are day, temperature, humidity, weather conditions, and month of occurred traffic accidents. The traffic accident dataset comprises five attributes (day, temperature, humidity, weather conditions, and month of occurred traffic accidents) and 358 observations including 179 without accident and 179 with accident. The proposed comprises two stages. In the first stage, the all attributes of dataset have been weighted using KMCAW method. The aims of this weighting method are both to increase the classification performance of used classifier algorithm and to transform from linearly non-separable traffic accidents dataset to a linearly separable dataset. In the second stage, after weighting process, ANN and ANFIS classifier algorithms have been separately used to determine the case of traffic accidents as with accident or without accident. In order to evaluate the performance of proposed method, the classification accuracy, sensitivity, specificity and area under the ROC (Receiver Operating Characteristic) curves (AUC) values have been used. While ANN and ANFIS classifiers obtained the overall prediction accuracies of 53.93 and 38.76%, respectively, the combination of KMCAW and ANN and the combination of KMCAW and ANFIS achieved the overall prediction accuracies of 74.15 and 55.06% on the prediction of traffic accidents. The experimental results have demonstrated that the proposed attribute weighting method called KMCAW is a robust and effective data pre-processing method in the prediction of traffic accidents on Konya-Afyonkarahisar highway in Turkey.
  • Küçük Resim Yok
    Öğe
    Creating A Valuation Map In GIS Through Artificial Neural Network Methodology: A Case Study
    (BERG FAC TECHNICAL UNIV KOSICE, 2014) Yalpir, Sukran; Durduran, S. Savas; Unel, Fatma Bunyan; Yolcu, Melisa
    The present study compared models and market values by creating a model for valuation estimations with artificial neural networks (ANN), which is one of the most advanced methods in immovable valuation and making applications by using Multiple Regression Analysis (MRA). Estimation results obtained from the models with the help of geographical information systems (GIS) were analyzed for spatial analysis. Data sets consisted of the criteria as the values of 300 residential real estates in Bosna Hersek Neighborhood in Konya/Selcuklu Region, the ages that affect those values, the number of stories, the frontage of the apartments, the number of rooms, and the distance to social infrastructures. GIS based value maps, which were integrated to ArcGIS10.0 software, were produced in order to create an algorithm via ANN, which is one Pile modern immovable valuation methods, and MRA, which is used to determine the immovable valuations according to those results. Spatial information about parcel and buildings was transferred to the database of ArcGIS 10.0 software and then was associated with oral data. Value maps were obtained through integrating the values of immovable properties in market conditions and estimation values of ANN and MRA to the map of the studied area. The performances were calculated and the produced value maps were compared in order to ensure the success of the models.
  • Küçük Resim Yok
    Öğe
    Finding optimum route of electrical energy transmission line using multi-criteria with Q-learning
    (PERGAMON-ELSEVIER SCIENCE LTD, 2011) Demircan, Semiye; Aydin, Musa; Durduran, S. Savas
    Due to an increasing energy requirement the consideration of route determination is becoming important. The aim of this project is to find an optimum result considering its important criteria. Finding an optimum route is a complex problem. It does not mean the shortest path to the problem. It is important to find the best way under the criterion that is determined by experts. Because of this we did not use the classical shortest path algorithm and we applied one of algorithms of the Artificial Intelligence. In this work, Geographic Information System (GIS)-based energy transmission route planning had been performed. In this optimization, using Multiagent Systems (MAS) which is a subdirectory of Distributed Artificial Intelligence the multi-criteria affecting energy transmission line (ETL) had been severally analyzed. The application had been actualized on the Selcuk University Campus Area. Therefore, the digital map of the campus area particularly had been composed containing of relevant criteria. Using Q- learning Algorithm of Multiagent System the optimum route had been determined. (C) 2010 Elsevier Ltd. All rights reserved.
  • Küçük Resim Yok
    Öğe
    Fluoride Concentration Modelling in Konya City Drinking Water Wells via Geographical Information System
    (ASIAN JOURNAL OF CHEMISTRY, 2009) Dursun, Sukru; Durduran, S. Savas; Kunt, Fatma
    Fluoride is one of the important elements in drinking water. This element is needed in small quantities; because it has an important role for health. Even small quantities of some trace elements have significant effect on human health. In this study, bearing in mind that especially excessive or low fluoride content of drinking waters is important for human health, water samples were collected from 50 different water wells in Konya city centre for determination of their fluoride concentrations. Water fluoride data analyses for modelling were carried out using Geographical Information System (GIS) then, fluoride level maps were presented to aid the identification of areas where high-fluoride waters and fluorosis may be a problem. It was observed that fluoride levels of all collected samples were below the limit given in T.S.-266 and WHO standards. The highest fluoride concentration was detected in water wells at Sakarya area with 0.42 mg L-1. The lowest fluoride level was obtained from Ali Tasoluk well water with 0.092 mg L-1. Fluoride level in the tap water has a great importance for tooth and bone health. In the systems where water is supplied from wells with low fluoride content, it is necessary addition of fluoride using appropriate methods. In addition, if it is not possible for fluoride addition, it is necessary to inform the people who using this water about application fluoride tablets.
  • Küçük Resim Yok
    Öğe
    Route Optimization with Q-learning
    (WORLD SCIENTIFIC AND ENGINEERING ACAD AND SOC, 2008) Demircan, Semiye; Aydin, Musa; Durduran, S. Savas
    Due to increasing energy requirement the consideration of route determination is becoming important. The aim of this project is to find optimum result considering its important criteria. In this work, Geographic Information System (GIS) based energy transmission route optimization had been performed. In this optimization, using Multiagent Systems which is subdirectory of Distributed Artificial Intelligence the criteria affecting energy transmission line had been severally analyzed. The application had been actualized on the Selcuk University Campus Area. Therefore the digital map of the campus area particularly had been composed containing of relevant criteria. Using Q-learning Algorithm of Multiagent System the optimum route had been determined.
  • Küçük Resim
    Öğe
    STUDIES OF FORMING INFORMATION SYSTEM IN SULEYMAN DEMIREL UNIVERSITY ULUBORLU SELAHATTIN KARASOY VOCATIONAL SCHOOL
    (STEF92 TECHNOLOGY LTD, 2012) Durduran, S. Savas; Tulu, Sadi; Inam, Saban; Sener, Erhan
    Taking advantage of information technologies and event of using them correctly have been raising swiftly in today's information age. By improving technology, information systems have been applied to various fields intensively. Mankind has lived with the fact of learning and teaching all through his life. When he has performed this fact he has always needed information, and used the information as a development means. Plus, these rapid developments in information technologies have been started to use in education and training fields. Especially universities and vocational schools have aimed to benefit from information technologies preeminently by forming information system. Within the scope of this article it has been mentioned about designing, evaluating, and administering of Suleyman Demirel University Uluborlu Selahattin Karasoy Vocational School's data in geographical information system. In the article it has been made researches about geographical information system, and an information system has been formed by analyzing collected data.
  • Küçük Resim Yok
    Öğe
    Subtractive clustering attribute weighting (SCAW) to discriminate the traffic accidents on Konya-Afyonkarahisar highway in Turkey with the help of GIS: A case study
    (ELSEVIER SCI LTD, 2011) Polat, Kemal; Durduran, S. Savas
    A case study including the discrimination of traffic accidents as accident free and accident cases on Konya-Afyonkarahisar highway in Turkey using the proposed hybrid method based on combining of a new data preprocessing method called subtractive clustering attribute weighting (SCAW) and classifier algorithms with the help of Geographical Information System (GIS) technology has been conducted. In order to improve the discrimination of classifier algorithms including artificial neural network (ANN), adaptive network based fuzzy inference system (ANFIS), support vector machine, and decision tree, using data preprocessing need in solution of these kinds of problems (traffic accident case study). So. we have proposed a novel data preprocessing method called subtractive clustering attribute weighting (SCAW) and combined with classifier algorithms. In this study, the experimental data has been obtained by means of using GIS. The obtained GIS attributes are day, temperature, humidity, weather conditions. and month of occurred accident. To evaluate the performance of the proposed hybrid method, the classification accuracy, sensitivity and specificity values have been used. The experimental obtained results are 53.93%, 52.25%, and 38.76% classification successes using alone ANN, ANFIS, and SVM with RBF kernel type, respectively. As for the proposed hybrid method, the classification accuracies of 67.98%, 70.22%, and 61.24% have been obtained using the combination of SCAW with ANN, the combination of SCAW with SVM (radial basis function (RBF) kernel type), and the combination of SCAW with ANFIS, respectively. The proposed SCAW method with the combination of classifier algorithms has been achieved the very promising results in the discrimination of traffic accidents. (C) 2011 Elsevier Ltd. All rights reserved.