New Generation Entrepreneurship And Innovation Application And Research Center
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yngiuam@gelisim.edu.tr
Projects
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New Generation Entrepreneurship And Innovation Application And Research Center
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Content
Projects
Project Name: Investigation of Occupational Stress and Tension in Working Life in Istanbul Province
Director: Prof. Dr. Tarık ÇAKAR
Department: Industrial Engineering
Start Date: 06.01.2024
Project Duration: 24 months
Status: Closed Project
Abstract: The aim of this study is to measure work stress in working life in Istanbul and determine its causes. The aim is to find answers to 5 different questions listed below; (1) What are the facts about work stress in Istanbul province? (2) What legal framework and national infrastructure is available for psychosocial risk assessment and protection from stress? (3) What are the opinions and evaluations of employer organizations and trade unions regarding work stress? (4) What instruments are used to measure and evaluate work stress and psychosocial risks? (5) What protective measures do businesses take to reduce work stress? The study will be conducted in 45 different workplaces by selecting 2-4 people from each business. The prepared survey will be applied to a total of 132 people. At the end of this study, the role of the state in protecting from work stress will be determined by taking into account the realities of the country. In addition, what kind of studies can be done regarding the development of stress protection programs will be revealed and recommendations will be made for the establishment of stress management centers in certain regions.
Project Name: Optimization of Advanced Image Processing Performance in PLC Systems
Director: Dr. Lecturer Kenan ŞENTÜRK
Department: Mechatronic Engineering
Start Date: 27.06.2024
Project Duration: 24 months
Status: Ongoing Project
Abstrac: In today's industrial automation, the integration of image processing technologies can significantly increase the efficiency and quality of production processes. PLC systems are considered one of the cornerstones of automation processes, and the development of high-performance image processing capabilities on these systems is of critical importance. This project aims to implement advanced algorithms and techniques to increase image processing performance in PLC-based systems.
In the project, firstly, the current image processing capabilities of PLC systems and the difficulties encountered were examined in detail. Then, the necessary algorithms and methodologies to increase image processing performance will be determined and these methods will be integrated into PLC systems. The developed system will be tested on real-time image processing scenarios and the performance improvements will be analyzed in detail.
As a result of this project, the speed and accuracy of image processing processes in PLC systems will be significantly increased. This improvement increases the effectiveness of PLC-based image processing systems in various industrial applications such as production line inspection, quality control and automatic classification. In addition, the findings obtained in the project will determine future research directions for further development of the image processing capacity of PLC systems. This study can be considered as an important step in increasing the efficiency and quality of production processes by improving the image processing capabilities of PLC systems in industrial automation applications. The PLC system diagram is given below.
Project Name: Selection of Renewable Energy Resources Using Aralık Type2 Fuzzy AHP
Director: Prof. Dr. Tarık ÇAKAR
Department: Industrial Engineering
Start Date: 15.02.2024
Project Duration: 18 months
Status: Ongoing Project
Abstract: Global energy crises, greenhouse gas effects caused by fossil fuels and the fact that they will be depleted over time are increasing the necessity and importance of renewable energy resources in our world. The sustainability and high efficiency of renewable energy resources depend on the decision-making process of which resource to use and how. Since the selection of renewable energy resources is a complex decision-making process that requires many criteria to be taken into account, the selection was made in this article using Aralık Type-2 Fuzzy Analytical Hierarchy Process (AT2BAHP). Type-2 fuzzy set, which is an extended version of classical fuzzy sets, is a method that can better handle uncertainties in the decision-making process. This study aims to be a resource for businesses that want to invest in renewable energy sources by reducing uncertainties in the selection process and making more effective decisions, especially in today's world where the use of renewable energy sources is increasing.
