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ERSOY, SEZGİN

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ERSOY

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SEZGİN

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Now showing 1 - 7 of 7
  • PublicationOpen Access
    Reading and playing musical notes with image processing techniques with mobile application
    (2022-08-25) ERSOY, SEZGİN; Ersoy S., Özdöşemeci F.
    The aim of this study is to process the notes on the music sheet, written by hand on the musical note line or edited in the computer environment, with the image processing technique and to play the music over the phone application. This application will be developed with Java in the Android Studio environment and image processing will be done using the OpenCV Library. Detection of a note will be memorized by calculating the value and duration of the note. After these sounds, the frequency values of the notes will be available on the phone.
  • PublicationOpen Access
    Effect of bumper thickness with collision simulation of passenger vehicles
    (2023-02-01) ERSOY, SEZGİN; Özcan F., Gullu A., Ersoy S.
    The finite element method is the most common method used to solve engineering and mathematical model problems. Related solution areas include structural analysis, heat transfer, mass transport and electromagnetic potential. FEM is a specific numerical method used to solve partial differential equations in two or three space variables. To solve a problem, FEM breaks up a large system into smaller, simpler parts called finite elements. First, a three-dimensional model of the system to be analyzed is produced. While defining the model, the materials and connection types found in the model are also deter-mined. Afterwards, the model is divided into small parts and analyzed under specified conditions. A crash test will be conducted in this study. For this, the conditions of the vehicle parts will be examined by hitting a wall under the conditions of which the model design of the vehicle is determined. Crash tests were carried out for two different bumper thicknesses on the same vehicle and the test results were examined. The vehicle speed is modeled as 20 m/s in the simulation carried out from the moment of impact until 0.14 seconds later. The effect of buffer thickness on axial displacements at impact and energy changes are presented.
  • PublicationOpen Access
    Discovery of agricultural diseases by deep learning and object detection
    (2022-01-01) ÇELEBİ, MEHMET FATİH; ERSOY, SEZGİN; Karakaya M., Çelebi M. F., Gok A. E., Ersoy S.
    In this study deep learning and object detection models for image-based plant disease recognition have been carried. Trained models were tested on pictures and in real-time with a video camera for five different diseases in tomato leaves. Object detection algorithm was implemented from the personal computer, and deep learning models were applied via Google Colab. Real-time object detection was achieved in the developed model with YOLOv5 algorithm with the highest accuracy of 93.38% in validation accuracy and 94.48% in training accuracy with the highest value of 92.96% in precision. Furthermore, it has been observed that YOLOv5 algorithm gives faster and more accurate results than the previous versions of YOLO.
  • PublicationOpen Access
    Productivity forecast with digital greenhouse automation system for sustainable agriculture
    (2022-06-01) ÇELEBİ, MEHMET FATİH; ERSOY, SEZGİN; Gök A. E., Çelebi M. F., Koca A. S., Doğan M., Ersoy S.
    Greenhouses are a popular agricultural production method by providing artificial climatic conditions. Providing optimum climatic conditions depends on the equipment of the greenhouse. Greenhouse equipment consists of systems such as heating, ventilation, shading, irrigation, and fertilization. In modern greenhouse cultivation, all these have become controllable with smart systems. These modern greenhouses, in other words smart greenhouses, can read the ambient conditions in real-time with their advanced sensor systems and enable processes such as irrigation, adjustment of ambient temperature, and ventilation to be carried out autonomously. In this study, the working principle, general structure, design, and types of equipment used in the greenhouse automation system are explained, and the system is designed and simulated on the Unity Engine.
  • PublicationOpen Access
    Micro and nano sensors from additive manufacturing
    (2022-04-01) ERSOY, SEZGİN; Zare E. N., Makvandi P., Ersoy S.
  • PublicationOpen Access
    Cooling and Multiphase Analysis of Heated Environmentally Friendly R152A (C2H4F2) Fluid Coming from the Production Process According to Nist Indicators
    (2024-05-01) ATAKÖK, GÜRCAN; ERSOY, SEZGİN; Kartal M. A., ATAKÖK G., ERSOY S.
    Cooling processes are responsible for a significant portion (20%) of global energy consumption and raise environmental concerns such as ozone depletion, the greenhouse effect, and high energy use. This study investigates the potential of R152a, a refrigerant with low global warming potential (GWP), as a more sustainable alternative. The performance, safety, and operational efficiency of R152a were evaluated under various conditions. Although R152a offers high performance and low GWP, its flammability necessitates caution, especially in certain mixtures. A 12-pass tube-type heat exchanger model was simulated using computational fluid dynamics (CFD) to analyze the fluid behavior within the exchanger. The pressure, density, dynamic pressure, Prandtl number, total pressure, and temperature distributions for both R152a and H2O (water) were visualized using contour plots. The simulations comprehensively examined the fluid behavior inside and outside the heat exchanger. The results revealed the influence of the temperature on the internal dynamic pressure and density of R152a. Compared with R134a, R152a demonstrated superior performance but a lower coefficient of performance (COP) than R32. Studies also suggest that R152a exhibits lower irreversibility in Organic Rankine Cycle (ORC) systems than R245fa. These findings suggest that R152a holds promise for future refrigeration systems, as supported by existing research on its performance and compatibility. One study focused on optimizing the heat exchanger performance by maximizing the heat capacity and minimizing the pressure drop. This study employed a parallel-flow heat exchanger with R152a as the coolant for the hot process water. The temperature changes, pressure drops, and resulting energy efficiency and thermal performance of both fluids were analyzed. The results highlight the distinct energy efficiencies and thermal performance of the employed fluids.
  • Publication
    Metal screw design for additive manufacturing techniques
    (NOVA Science Publishers Inc., 2022-08-01) ERSOY, SEZGİN; Ersoy S., Ekinci B.