Browsing by Author "Guzey, N."

Now showing 1 - 4 of 4

Consensus-Based Localization by Using Array of Antennas on a Fixed-Wing UAV
(Institute of Electrical and Electronics Engineers Inc., 2019) Guzey, N.; Guzey, M.; Ronzhin, A.
A novel localization scheme, based on RSSI, is developed to make a fixed winged UAVs localize or track a target. Previous RSSI based localization methods require fingerprinting, knowledge about the transmitted power from the source as well as antenna and channel characteristics to apply the propagation loss formula. However, the proposed method in this paper only compares the received powers by antennas on a linear array and applying a control algorithm to ensure the consensus on received power, then find the location of the device. © 2019 IEEE.
Consensus-Based Localization of Devices with Unknown Transmitting Power
(Springer Verlag service@springer.de, 2018) Guzey, N.; Guzey, M.
A novel localization scheme, based on RSSI is demonstrated in this manuscript. Previous methods require fingerprinting which is not suitable to locate sources in different environments or they need to know the transmitted power from the source as well as antenna and channel characteristics to apply the propagation loss formula. However, the proposed method of this paper only compares the received powers by antennas on a linear array and applying a control algorithm to ensure the formation, then find the location of the source device. The new control algorithm is driven by using the differences of received signal powers. © Springer Nature Switzerland AG 2018.
Optimal Synchronizing Speed Control of Multiple DC Motors
(Institute of Electrical and Electronics Engineers Inc., 2018) Guzey, M.; Dumlu, A.; Guzey, N.; Alpay, A.
In this paper, optimal synchronization speed control of multiple DC motors is developed by using leader-follower based approach. One of the DC motor is considered as a leader motor and it tracks its desired speed trajectory. The other DC motor is controlled through a leader-follower based optimal formation controller developed in this work. If the leader DC motor slows down or speeds up for some reason, the follower DC motor synchronize its speed according to the leader without having any knowledge about the desired trajectory. By doing so, the multiple DC motors will be able to work together in a synchronized manner. The simulation results are given at the end of the paper to verify our theoretical claims. © 2018 IEEE.
Unknown Sır Parameters’ Estimation of Covıd-19 Spread İn Turkey By Using Rss Method
(Gumushane University, 2021) Guzey, N.
Ending the global COVID-19 outbreak requires multiple country-wide strategies, such as social isolation, multiple tests, and monitoring people's interactions with each other. Many countries in the world have brought their own restrictions. Many parameters such as hospital capacities, social life and economy were taken into consideration while introducing the restrictions. Some countries, such as Italy, Brazil, and even the United States, have failed to predict the course of the outbreak and did not take more stringent measures, therefore; the outbreak has caused thousands of lives and is still happening. In this study, by considering the number of COVID-19 cases and the measures taken by the government, a model was developed to track the course of the epidemic for 91 days. For modeling, the SIR (Susceptible-InfectedRecovered) model, which is widely used in epidemiology was used. To estimate the parameters in the SIR model, RSS (Residual Sum of Squares) method was utilized. By taking into account the important time intervals, such as closure of the schools, country wide lockdowns and bending the restrictions, the model parameters were estimated for these intervals using the epidemic data given by the Ministry of Health. In addition, simulation results are provided to predict how the course of the epidemic would take place if precautions were not taken at the beginning of the outbreak or if the most recent measures were continued. This model offers authorities a preliminary assessment opportunity to manage the outbreak. © 2021, Gumushane University. All rights reserved.