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  1. Home
  2. Browse by Author

Browsing by Author "Emek S."

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    Simulation of glucose regulating mechanism with an agent-based software engineering tool
    (Balikesir University, 2019) Emek S.; Evren V.; Bora Ş.
    This study provides a detailed explanation of a regulating mechanism of the blood glucose levels by an agent-based software engineering tool. Repast Simphony which is used in implementation of this study is an agent-based software engineering tool based on the object-oriented programming using Java language. Agent-based modeling and simulation is a computational methodology for simulating and exploring phenomena that includes a large set of active components represented by agents. The agents are main components situated in space and time of agent-based simulation environment. In this study, we present hormonal regulation of blood glucose levels by our improved agent-based control mechanism. Hormonal regulation of blood glucose levels is an important process to maintain homeostasis inside the human body. We offer a negative feedback control mechanism with agent-based modeling approach to regulate the secretion of insulin hormone which is responsible for increasing the blood glucose levels. The negative feedback control mechanism run by three main agents that interact with each other to perform their local actions in the simulation environment. The result of this study shows the local behavior of the agents in the negative feedback loop and illustrates how to balance the blood glucose levels. Finally, this study which is thought a potential implementation of agent-based modeling and simulation may contribute to the exploration of other homeostatic control systems inside the human body. © 2019 Balikesir University. All rights reserved.
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    Observing the Impact of Science Education on Undesirable Behaviors of Students in the Agent-based Simulation Environment
    (The International Society for Technology Education and Science, 2019) Bora S.; Unuvar G.C.; Emek S.
    Agent-based modeling is a new computational model for social sciences. Computational models are formulated as computer programs which represent the processes that exist in the social world. When simulations of these computational models for social sciences are performed, it is possible to gather information about real systems' processes and predict future outcomes of the processes. The agent-based model includes a set of agents that represent real actors in a real system in the simulated environment. The simulated environment represents the environment in which the agents contain their resources and perform their actions. Agents interact with other agents and entities in the environment while they try to achieve their individual goals. In the present study, it is aimed to imitate the school environment in a simulation environment by using the Repast Simphony 2.4 simulation tool and observe the impact of science education on undesirable behaviors of students represented by agents in the simulation environment. © 2019 Published by ISRES Publishing: www.isres.or.
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    Behavioural Representation of the Aorta by Utilizing Windkessel and Agent-Based Modelling
    (IOS Press BV, 2021) Emek S.; Bora S.; Evren V.; Çakirlar I.
    The main objective of the present paper is to report two studies on mathematical and computational techniques used to model the behaviour of the aorta in the human cardiovascular system. In this paper, an account of the design and implementation of two distinct models is presented: a Windkessel model and an agent-based model. Windkessel model represents the left heart and arterial system of the cardiovascular system in the physiological domain. The agent-based model offers a simplified account of arterial behaviour by randomly generating arterial parameter values. This study has described the mechanism how and when the left heart contracts and pumps the blood out of the aorta, and it has taken the Windkessel model one step further. The results of this study show that the dynamics of the aorta can be explored in each modelling approaches as proposed and implemented by our research group. It is thought that this study will contribute to the literature in terms of development of the Windkessel model by considering its timing and redesigning it with digital electronics perspective. © 2021 Vilnius University.
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    Modeling and Agent Based Simulation of the Smart Animal Kennel System; [Akıllı Hayvan Barınak Sistemi Tasarımı ve Etmen Tabanlı Simülasyonu]
    (TUBITAK, 2022) Emek S.; Tartar E.
    The aim of this study is to model a smart animal kennel system that will provide controlled water and food needs for stray animals. In this study, the physical model of the system is created and a simulation application is proposed to optimize this system. Raspberry Pi kit is used in the physical model design of the system. This kit provides the execution of electronic elements in conjunction with Python programming in relation to the Internet of Things (IoT) in this study. The system prototype is based on a water and food tank. The water and food occupancy rates in the system work with a negative feedback control mechanism. In addition to the control of the system in water and food containers, the rates in the water and food tanks in the prototype are measured with the Raspberry Pi according to the data obtained from the sensors. The data is sent to the server with TCP/IP socket programming. The data to the server with the TCP/IP program takes place in the database. These measured data can be observed on the web platform. A simulation study is presented using agent-based modeling approach for the development of this proposed system. Two different agent classes are defined in the agent-based simulation application of the system. Interactions between agents can be observed in experimental studies with parameter tuning. It is thought that this study has the potential to benefit stray animals and to be used by relevant institutions such as municipalities. © 2022, TUBITAK. All rights reserved.

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