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- Yön, Burak(15)
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- Gul, Muhammet(10)
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Yayınlar
- MakaleAçık Erişim2018Scopus SJRQ1Artificial neural networks and adaptive neuro-fuzzy inference systems approaches to forecast the meteorological data for HVAC: The case of cities for Turkey
Işık, Erdem; Inallı, Mustafa
Limited energy resources and increasing need for energy due to population growth seem to lead researchers to focus on these issues. Forecast of meteorological data has significant importance in design of thermal systems. In this study, forecasting of meteorological data used in thermal system design was performed for fifty cities to represent the entire Turkey. Data obtained from General Directorate of Meteorology (MGM) were modelled by artificial neural networks and adaptive-network based fuzzy inference systems. Matlab software was used for modeling and forecasting of prospective data with high sensitivity in thermal systems. Surfer and ArcGIS software were used to create humidity, temperature, solar radiation maps for Turkey. Root mean square error (RMSE), mean absolute error and (MAE), coefficient of variation (COV) and the coefficient of determination (R2) were used to validate the result of the proposed approaches. The results were satisfactory with respect to RMSE, MAE, COV and R2 to forecast the meteorological data. Annual solar power potential maps for Turkey were also proposed and compared with MGM results. The results of the proposed approaches are compatible with the result of the MGM. The Turkey policy maker(s) from MGM can easily use these approaches if a software is constructed.
AtıfScopus66WoS52OpenAlex68
İncele - MakaleAçık Erişim2018Scopus SJRQ3Recognition of road type and quality for advanced driver assistance systems with deep learning
Tumen, Vedat; Yildirim, Ozal; Ergen, Burhan
To develop effective advanced driving assistance systems, it is important to accurately recognize current driving environments and make critical decisions about driving processes. Preventing accidents through the interaction between the driving assistance systems and the environment and ensuring optimum driving dynamics are the main topics in this field. Vehicles need to recognize the road type and quality at a high accuracy to ensure the most suitable driving for the road type. It is also important to use both uncomplicated and cost-effective systems when performing this detection. In this study, a deep learning-based approach that can be used in vehicle driver assistance systems is proposed to automatically recognize road type and quality. Using this approach, it is possible to determine the road type and the quality of the road using only driving images as the input data. A new convolutional neural network model is designed for classification of the driving images. Driving images obtained from Google Street View are used to evaluate the recognition system for an actual driving environment. The proposed approach shows that the road types were determined with accuracy of 91.41 %, and the pothole road–smooth road distinction was successful at 91.07 %. It can be said that the proposed method is an effective structure that can be used for advanced driving support systems, V2I communications systems, and similar intelligent transportation systems.
AtıfScopus22WoS16OpenAlex25İncele - MakaleYalnız künye2017Scopus SJRQ1An integral based fuzzy approach to evaluate waste materials for concrete
Onat, Onur; Celik, Erkan
Waste materials in concrete have been considered as one of the most important issues by the authorities, policy makers and researchers to maintain engineering serviceability in terms of economy, durability and sustainability. Therefore, evaluation and selection of waste materials with respect to multi criteria decision making (MCDM) for the construction industry has been gained importance for recovery and reuse. In this paper, Choquet integral based fuzzy approach is proposed for evaluating the most suitable waste materials with respect to compressive strength, tensile strength, flexural strength, compactness, toughness (resistivity for dynamic loads), water absorption and accessibility. On conclusion, waste tyre and silica fume were determined as the most suitable waste materials for concrete production. The obtained results are recommended to assist the authorities on configuring well designed strategies for construction industry with disposal materials.
AtıfScopus12WoS12OpenAlex9İncele - MakaleYalnız künye2017Scopus SJRQ1A cause and effect relationship model for location of temporary shelters in disaster operations management
Celik, Erkan
The aim of the location of temporary shelter directly is to focus on helping the sufferers and injured people on disaster areas during and after a disaster. Facility location (location of temporary shelters) decisions play a critical role and affect directly performance of relief operations in disaster operations management (DOM). In this paper, a proactive decision-making tool by integrating decision-making trail and evaluation laboratory (DEMATEL) method with interval type-2 fuzzy sets (IT2FSs) is proposed to locate of temporary location in DOM. While DEMATEL method enables to analyse cause and effect relationship in decision-making process, the IT2FSs overcome ambiguity and vagueness of linguistic assessment of decision-makers through the DEMATEL. 14 different criteria for location of temporary shelters are considered by 9 disaster operation managers for evaluating the cause and effect factors. Beside the theoretical contribution of the proposed method, it provides practical benefits to disaster operation managers to perceive cause and effect relationship on location of temporary shelters.
AtıfScopus38WoS29OpenAlex41İncele - MakaleAçık Erişim2017Scopus SJRQ2Identifying key factors of rail transit service quality: An empirical analysis for Istanbul
Isikli, Erkan; Aydin, Nezir; Celik, Erkan; Gumus, Alev Taskin
Providing a high quality of service in public transportation is essential to reduce dissatisfactions stemming from traffic congestion and noise. Public transport providers need to find ways to dilute the effects of immoderate use of private cars in big cities while maintaining a sufficient level of customer satisfaction. This study aimed to identify the key service quality (SQ) factors that drive passenger satisfaction in Istanbul’s rail transit (RT) system using data obtained from an extensive survey conducted by the Istanbul Public Transportation Co. A total of 11,116 passengers who used rail transport from May 15-June 3, 2012, and June 17-July 3, 2013, were interviewed in person. The relative importance of the SQ factors was assessed so that service provision could be prioritized and the enhancement of passenger satisfaction can be achieved employing several social choice techniques. The results indicate that, from an overall perspective, waiting time, crowdedness in cars, and fare are the SQ factors that best reflect the public good.
AtıfScopus31OpenAlex36İncele - MakaleAçık Erişim2016Scopus SJRQ2An extended fuzzy TOPSIS-GRA method based on different separation measures for green logistics service provider selection
Celik, E.; Erdogan, M.; Gumus, A. T.
In this paper, first, the criteria that make logistics service providers more green'' are determined as: cooperation with customer's company and its customer, green government regulations, environmental management system, green process design, reduction in energy consumption and green network design. The criteria weights are determined by fuzzy AHP, based on expert opinions. Then, a new method is proposed, which is the combination of fuzzy TOPSIS and GRA, and used to evaluate green 3PLs based on different separation measures, as an extension, using trapezoidal fuzzy numbers. Five Turkish 3PLs serve in Istanbul are selected in order to apply a case study to show the applicability of the proposed method. Finally, the proposed method is verified with respect to different resolving coefficient values and separation measures and also compared with fuzzy TOPSIS and fuzzy VIKOR method results. Different multi-criteria decision-making methods can be applied and compared to check validity of our results for future studies. The proposed method can also be implemented to 3PLs in other countries.
AtıfWoS47OpenAlex57İncele - MakaleYalnız künye2016Scopus SJRQ2Storm water retention and actual evapotranspiration performances of experimental green roofs in French oceanic climate
Yilmaz, D.; Sabre, M.; Lassabatère, L.; Dal, M.; Rodriguez, F.
Green roofs are promising urban management tools from the standpoint of both rainwater management and microclimatology. They are considered as a storm water mitigation technique and may also favour evapotranspiration fluxes, which can be beneficial for urban comfort during summer periods. In France, however, water retention performance of green roofs remains unknown, and published values are often unsuitable. Six experimental roofs, including two thicknesses of growing media, three types of vegetation cover and bare surfaces, were monitored for two years in Nantes and compared to an experimental gravel flat roof. The thickest media combined with the most densely vegetated cover yields the best results in terms of storm water mitigation and actual evapotranspiration. In winter, the rainwater retention performance is clearly dependent on the type of experimental roof vegetation. This kind of experimental set-up is well suited to assisting urban planners design tools for storm water mitigation in buildings.
AtıfWoS22OpenAlex28İncele - MakaleYalnız künye2016Scopus SJRQ1An artificial neural network-based earthquake casualty estimation model for Istanbul city
Gul, Muhammet; Guneri, Ali Fuat
Earthquakes over the world cause serious damages for people and the economy. The establishment of an appropriate model to estimate potential losses or injuries in earthquake disasters is fundamental to decrease their impacts and losses and effectively respond and mitigate. Turkey as a country that experienced many earthquakes in the last century and had serious human and financial losses needs a comprehensive knowledge of consequences of devastating earthquakes to be able to plan for the future. Artificial neural networks (ANNs) have abilities to solve and analyse complex relations as an appropriate method to estimate number of injuries. In this study, an ANN model is built up for the earthquake casualty prediction, which takes earthquake occurrence time, earthquake magnitude, and population density as the predictors and employs 21 Mw > 5 earthquake disasters occurred in Turkey from 1975 as samples for the training of the network. The model was then tested on a study region consisting of four districts in Istanbul which is estimated to have the highest injury rate according to the earlier reports and generated estimations of the expected number of injured people. Results show that 99.9 % of the variability in the number of injured people is predictable with using this ANN model. Comparison of actual values and estimated output values in the ANN model was also found apparently very close to each other. According to the test case study results, when the value of earthquake magnitude is 6.5 Mw, number of injured people has increased in a sharp trend compared to the previous magnitude value (6 Mw) for all districts. Estimated number of injured people in daytime is obtained higher than at night when the earthquake magnitude is 5 and 5.5 Mw. The highest value in estimated number of injured people has emerged in Fatih district as 7241 for a 7.5 Mw daytime earthquake. On conclusion, it was deduced that the model can reveal accurate estimation of casualties and it can provide information in order to develop mitigation policies, especially in earthquake emergency service management.
AtıfWoS32OpenAlex46İncele - MakaleAçık Erişim2015ELDERLY IN BETWEEN: THE EFFECTS OF MIGRATION FROM RURAL TO URBAN AREAS ON THE ELDERLY
Güler, Zuhal; Özsel, Dogancan; Güler, Nuran
As a consequence of migration from rural to urban areas, which gained momentum since the 1950's, younger people have moved to cities but the elderly were either remained to live in the emptied villages in both winter and summer times, or moved back and forth between the two in different times of the year. The subject of this study is to find out the socio-economic profiles and life-satisfaction of this latter group that remained in between the two. Elderly individuals focused on this study are those who have born in villages but, currently, can only live in their villages in summer and move to urban areas, mostly to Istanbul, in times of winter. As shown in the study, if possible, they would like to remain in their own villages with their partners, and, if he or she is past, then with their children. The data is collected through both quantitative and qualitative techniques. A questionnaire form is applied in the Zara district of the city of Sivas, to 436 individuals over 65 years old from 20 different villages, who live in those villages in summer times and move to urban areas in winters. Also as a qualitative technique, both elderly individuals and officials from related government institutions are interviewed in-depth.
AtıfOpenAlex6İncele - MakaleYalnız künye2015Scopus SJRQ3Determination and Health Risk Assessment of Heavy Metals in Drinking Water of Tunceli, Turkey
Demir, V.; Dere, T.; Ergin, S.; Cakir, Y.; Celik, F.
Tunceli, Turkey is one of the small cities in the Eastern Anatolian Region with substantial natural, cultural and historical heritage that is suitable to be a slow city. Water sources are abundant in the area due to rain and heavy snowfall in the mountains, which seeps into the ground or flows into the rivers. Therefore monitoring and conservation of city's drinking water quality is one of the main issues in the city. The present study was conducted to investigate several heavy metals and cyanide, arsenic, and selenium concentrations of drinking water samples taken from 100 different locations in the city and towns of Tunceli, Turkey during the years 2011 and 2012. In three locations, high levels of copper was found with a range of 2.1-11.5 mg/L, and high levels of arsenic was detected in five locations with a range of 10.5-78.0 mu g/L, exceeding the action levels for copper and arsenic. For health risk assessment, the average daily dose and hazard quotient (HQ) were calculated. The region mean values of HQ were found above 1 for arsenic in the samples collected from Mazgirt, while HQ values were below 1 in the rest of the samples.
AtıfWoS20OpenAlex33İncele - MakaleYalnız künye2013Scopus SJRQ1Geo-environmental site investigation for Tunceli, Turkey municipal solid waste disposal site
Önal, Ayten Oztufekci; Demirbilek, Deniz; Demir, Veysel
The environmental and geological condition of a current solid waste disposal site in the city of Tunceli, Turkey was investigated. Improper geological structure and soil properties of this unsanitary solid waste storage site as well as leachate from this site caused significant pollution in air, soil, and surface water. Natural soil characteristics and geology of the site are presented in this paper. Petrographic properties of vulcanized rubber rocks composed of tuff and volcanic sandstone at the bottom of storage sites and the mineralogical composition of the base composed of these rocks were examined. Permeability of the natural soil and index properties were determined using soil mechanics experiments (moisture content, specific gravity, Atterberg limit tests, sieve analysis, hydrometer analysis, falling-head permeability test, and standard proctor test) conducted on disturbed samples collected from excavated sites and the relationship between mineralogical composition and soil hydraulic behavior was investigated. Natural soil samples of six different parts of the site indicated that, the soil class in four samples is silty sands, sand-silt mixtures, one is clayey sands, sand-clay mixtures and one is clayey silts with slight plasticity. The values obtained using permeability tests for subsoil samples vary from 10(-5) to 10(-8) cm/s. Low permeability (10(-7) and 10(-8) cm/s) at the south part of the site increases to 10(-5) cm/s at the natural soil of the North side. Extensively faulted and fissured volcanic sandstone levels at the site give potential to waste leachate to reach deep levels. The soil composition, hydraulic conductivity, topographic conditions, and other location criteria in the current solid waste disposal site showed that the current disposal site is not suitable for this purpose. (C) 2013 Elsevier B.V. All rights reserved.
AtıfWoS5OpenAlex6İncele - MakaleAçık Erişim2011Effects of Training on Womans Who Have High Risk in Terms of Indoor Environmental Air Pollution
Karatay, Gulnaz; Akkus, Yeliz
Aim: This study was conducted to determine the effects of training on women who have high risk in terms of indoor environmental air pollution in Kars. Methods: This study was planned as an intervention study and the data was collected between March 10, 2010 to March 10, 2011. The study was performed on 80 women who were trained by six visits made once in every other week at their home. Data were collected with socio-demographic form, health status information form, environmental tobacco exposure form, information form on dried cow dung usage and awareness of women, St. George Respiratory Questionnaire. Results: After the intervention, it was seen that knowledge level of women about use of dried cow dung was increased dramatically. The St. George Respiratory Questionnaire scores of these women at were 2.40 point lower in positive aspect, but the difference wasn't statistically significant. At the beginning 94.7% and after the study 72.4% of women have declared environmental smoke exposure. Conculation: After the study, it was seen that knowledge level of women about dried cow dung usage and it's harm to health as well as their efforts to improve respiratory system health were increased.
