Atacak, Ismail
Advanced Technology and Science (ATScience)

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Prototype Design and Application of a Semi-circular Automatic Parking System Atacak, Ismail; Erdogdu, Ertugrul
International Journal of Intelligent Systems and Applications in Engineering Vol 5, No 4 (2017)
Publisher : Advanced Technology and Science (ATScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18201/ijisae.2017534390

Abstract

Nowadays, with the increasing population in urban areas, the number of vehicles used in traffic has also increased in these areas. This has brought with it major problems that are caused by insufficient parking areas, in terms of traffic congestion, drivers and environment. In this study, in order to overcome these problems, a multi-storey automatic parking system that automatically performs vehicle recognition, vehicle parking, vehicle delivery and pricing processes has been designed and the practical application of this system has been realized on a prototype. The vehicle recognition process in the designed system has been fulfilled through a software prepared on the personal computer connected to the webcam. A multi-storey semi-circular structure has been used as a parking area to resolve parking area deficiencies. Therefore, the carrying system that carries out the parking process in the system has been designed as a cylindrical coordinated robot that can move horizontally, vertically and in the forward-back direction. The control of whole system has been realized by PIC16F877A microcontroller. The results obtained from the prepared prototype have showed that the proposed system can provide significant contributions to the solution of problems resulting from parking area deficiencies.
Modelling and Evaluating Air Quality with Fuzzy Logic Algorithm-Ankara-Cebeci Sample Atacak, Ismail; Arici, Nursal; Guner, Dilem
International Journal of Intelligent Systems and Applications in Engineering Vol 5, No 4 (2017)
Publisher : Advanced Technology and Science (ATScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18201/ijisae.2017533902

Abstract

Air is one of the most important life sources for all living things. Gases that are present and absent in the composition of clean air also considered as pollutants in the atmosphere. If the pollutants rise above a certain concentration level, air pollution occurs. Air pollution damages all living things, especially human health. Accurate estimation of pollutant concentrations through air pollution modeling has an important effect in reducing the adverse effects of pollution and taking necessary precautions. Conventional statistical models are widely used in air pollution forecasting and modeling. As a different approach, in this study, fuzzy logic algorithm, which has been increasingly successful in many field applications, has been used to model air quality and air pollution analyzes were made based on this model. Ankara -Cebeci province data was used in the sample of the research.