Yazar "Guneser, M.T." seçeneğine göre listele
Listeleniyor 1 - 20 / 20
Sayfa Başına Sonuç
Sıralama seçenekleri
Öğe Circular Microstrip Array Antenna Design for Advance Biomedical Applications(Institute of Electrical and Electronics Engineers Inc., 2021) Seker, C.; Guneser, M.T.In this study, a compact microstrip array antenna design is presented. The design enjoys multiple advantages, it can operate in 5G mobile communication band (3.4-3.8 GHz) for advance biomedical applications such as Unmanned Air Vehicles (UAV), Autonomous Vehicles (AV), and Swarm Drone Applications (SDA). There are three identical radiating structures in this proposed antenna. These radiating structures are in a circular shape and they are compatible to operate at frequency ranges of 3.6 GHz and ultra-wideband. These structures also illustrate omnidirectional radiation characteristics. The proposed antenna has been placed on a RO4003 substrate with a thickness of 0.203 mm and a dielectric constant (?r) of 3.55. CST Studio Suite environment is used to obtain the simulation results. The results of this study demonstrate that the proposed antenna design is reliable and suitable for 5G mobile applications. © 2022 IEEE.Öğe Collision Free Energy Efficient Multipath UAV-2-GV Communication in VANET Routing Protocol(Springer Science and Business Media Deutschland GmbH, 2023) Alkhafaji, M.A.; Abdulsattar, N.F.; Mutar, M.H.; Alkhayyat, A.H.; Al-Azzawi, W.K.; Abbas, F.H.; Guneser, M.T.Vehicular Ad-Hoc Networks (VANETs) are extensively utilized in Intelligent Transportation Systems (ITS) for their various communication modes, including vehicle-to-vehicle and vehicle-to-infrastructure. VANETs are equipped with certain special characteristics such as dynamic mobility, high-speed vehicles, and so on. Both the transmission models are ineffective when it is applied to the high-speed vehicles. During transmission vehicles will transfer the information to the road side unit (RSU), but RSU deployment is the most challenging task. Due to improper deployment of RSU, deployment cost of the network gets increased, end-to-end delay get increased as well as it directly reduced the performance of packet delivery ratio and throughput calculation of the network. In order to overcome these drawbacks, Unmanned Aerial Vehicles (UAVs) are introduced in VANETs. In this paper, Collision Free Energy Efficient Multipath UAV-2-GV communication (CEM-UAVs) is proposed to improve the stability of the VANETs. This CEM-UAVs protocol is segmented into two parts; they are collision free path selection and energy efficient multipath UAV communication. Using UAVs-based data, transmission greatly reduces the delay and loss produced by the ground level traffic and congestion in the network. To analysis the performance of the proposed CEM-UAVs protocol, NS2 software is used. Four parameters are calculated to investigate the performance of the proposed CEM-UAVs protocol; they are end-to-end delay, packet delivery ratio, and number of UAVs count and throughput as well as it is compared with the earlier research works such as NC-UAVs and DP-UAVs. From the results it is proven that the proposed CEM-UAVs protocol produced 160–260 ms lower end-to-end delay, 8–10% higher packet delivery ratio, 100UAVs to 280UAVs lower UAVs count, and 1200–2000 Kbps higher throughput when compared with the earlier works NC-UAVs and DP-UAVs. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.Öğe The Effect of PEMFC on Power Grid Using Advanced Equilibrium Optimizer and Particle Swarm Optimisation for Voltage Sag Mitigation(Institute of Electrical and Electronics Engineers Inc., 2023) Khaleel, M.M.; Yusupov, Z.; Guneser, M.T.; Abulifa, A.A.; Ahmed, A.A.; Alsharif, A.Due to the integration of various distributed generation resources into power systems, in particular, the integration of proton exchange membrane fuel cell (PEMFC), the electrical power grid (EPG) becomes more comprehensive and has power quality (PQ) issues like voltage/current unbalance, harmonics, voltage sag, etc. The issue of voltage sag arises from sudden changes in the EPG operating conditions. In this paper, the Advanced Equilibrium Optimizer (AEO) and Particle Swarm Optimization (PSO) are proposed as solutions for EPG disturbance in partially voltage sag issues caused by three fault scenarios: single line-to-ground faults (SLGF), double line-to-ground faults (DLGF), and three line-to-ground faults (TLGF). Both of proposed controllers are set up by applying AEO and PSO, and their preponderances are demonstrated by comparison with a conventional PI controller. The simulink model of PEMFC-EPG interconnection system is carried out in MATLAB/Simulink environment. The results of PEMFC-EPG interconnection using AEO and PSO are impressive and persuasive in terms of the voltage sag elimination. © 2023 IEEE.Öğe Energy management and optimization of microgrid system using particle swarm optimization algorithm(American Institute of Physics Inc., 2022) Elweddad, M.; Guneser, M.T.; Yusupov, Z.An optimization model is proposed to manage a day-ahead optimal energy management strategy for economic operation of Microgrids. The model is based on a using particle swarm optimization algorithm (PSO) for scheduling four energy sources (grid, PV system, wind system, energy storage system) with 24 hours' time step, considering forecasted electrical demands, weather, and renewable energy generations. In this paper, the objective function is to minimize the cost of electricity generation and to manage delivering power from hybrid sources to the demand. The results showed that scheduling and controlling of different energy sources in efficient way reduce the total cost of power generation and ensure sustainable power flow. It is important to enhance the usage of solar and wind sources, optimize the operation of storage systems. © 2022 Author(s).Öğe Enhancement of Regenerative Power Utilization for Electric Vehicle by Using Eddy Current Brake(Institute of Electrical and Electronics Engineers Inc., 2021) Guneser, M.T.; Ridha, Othman, A.Electric vehicle's (EV) performance has been enhanced to solve the energy depletion and environmental problems. The EV mechanical brake system utilizes friction energy of the rotating wheels into heat which is dissipated by the mechanical parts of the braking system and that causes an increment of the temperature and wearing of these parts which may affect the reliability of the braking system. To eliminate or reduce the frequent using of mechanical brake, a regenerative braking energy is fed from the driver motor back as a charging current into the battery during the braking state. In case of the battery is already fully charged the regenerative energy is useless and dissipated in a resistive load as heat. In this paper a simulation model in MATLAB/Simulink is designed for the application of DC motor in an EV in a regenerative mode to feed an eddy current brake (ECB) system in case of a fully charged battery. The advantage of using ECB system is studied in terms of improvement of performance of EV and braking efficiency. The results show that the ECB is effective in stopping the proposed model of the EV. © 2021 IEEE.Öğe Geometry Optimization of Wireless Capacitive Power Transfer Plates for Electrical Vehicle(Institute of Electrical and Electronics Engineers Inc., 2021) Alsaedi, N.Q.A.; Guneser, M.T.In this study we proposed capacitive power transfer (CPT) plate coupler of four-plates using for large distance airgap. We evaluated the effect of square and circular plates. In this study we compared capacitive horizontal plates and vertical plates and find the outcome of different size to maintain the coupling of two plates side. This model coupler circuit is approaching, making an allowance for all coupling capacitors. Highly power transfer (high plate voltage) and resonating coupler have been supplied by using the Double-sided LCLC compensated topology of circuit. The coupler circuit model easy to design the compensation circuit parameters. Analysis of Finite-element is used the coupling to simulate capacitance and choose the sizes of coupler. performance of circuit is simulated in ANSYS to proposal the precise parameter values. © 2021 IEEE.Öğe A Huristic Method Base for Optimum Placement of Distributed Energy Resources in Practical Radial Distribution Feeder(Institute of Electrical and Electronics Engineers Inc., 2021) Frei, A.A.M.; Guneser, M.T.In this paper, multi objective crow search algorithm utilize for solving multi-objective based optimization task, which is related to the DERs installation in distribution network. An optimal integration of Distributed Energy Resource (DER) for three operations Wind Turbine Generation System (WTGS), and Electric Vehicles (EVs) in supply network simultaneously implemented for motive of abatement of overall power loss, overall cost and emanations dispatched through the thermal generators. To accomplish these planned purposes and profits, we designed a multi-objective function. For optimization of the cost we used the heuristic algorithm. © 2021 IEEE.Öğe An induction motor design for urban use electric vehicle(Institute of Electrical and Electronics Engineers Inc., 2016) Guneser, M.T.; Dalcali, A.; Ozturk, T.; Ocak, C.; Cernat, M.Because of fossil fuel shortage and its damages on environment, electric vehicles (EV) are going to be more popular in science and car industry as well. So, EV's take an opportunity to spread over the traffic finally. But battery, which is the main energy supplier of the motor, has disadvantages as big volume and weight. Scientists try to enhance energy densities, ranges and quicken charging. All of research results force us to drive EV in a loop, close to charging stations for near future. So EV's should be designed by considering urban road and speed conditions as well. In this survey, we designed a new two pole 7,5 kW induction motor for a certain electric vehicle, which was designed to use urban drive. We considered urban traffic rules and conditions, while designing the motor. We simulated and verified analytical and finite element analysis of the designed induction motor. We also modelled and simulated the EV with the induction motor on MATLAB to observe control performance of field oriented control (FOC) on several urban use scenarios. According to our results, EV with designed motor can be realized and controlled. © 2016 IEEE.Öğe Investigation of Thermal Modeling for Underground Cable Ampacity under Different Conditions of Distances and Depths(Institute of Electrical and Electronics Engineers Inc., 2021) Al-Dulaimi, A.A.; Guneser, M.T.; Hameed, A.A.Underground cables are affected by a many different factors, including the temperature distribution surrounding the cable, the depth of the cable, distances between the cables, the thermal resistivity of the soil, and the material the cable is backfilled. The study and analysis of these factors are exploited as much as possible to carry the maximum possible current through the power transmission cable. Calculations were made for single power cables with a flat configuration at a burial depth (0.8 and 1) meters, (0.8 and 1) km/w soil resistivity, (0.2 and 0.4 (meters)) distances between the cables, and two types of backfill materials: cement-sand mixture backfill (CSB) and thermal backfill for the Aluminum conductor. The proposed model can determine the temperature distribution in the soil, thermal backfill, and around cables. The results essentially show that appropriate thermal backfill, and spatial geometric characteristics are useful for reducing conductor temperature and securing a specific cost metric while being of exceptional importance to take full advantage of cable ampacity. © 2021 IEEE.Öğe A method to obtain daily total solar insolation (kWh/m2) from daily total output current (Ah) of a PV array(2012) Gokdag, M.; Guneser, M.T.To determine solar energy potential in a certain location and to realize studies of economics and sizing of photovoltaic system applications to be established in this certain location, solar radiation measurement corresponding to this site is critically important. Solar energy atlas of Turkey is extracted using ESRI Solar Radiation Model whose parameters are calibrated with measurements, which cover period of 22 years between 1985 and 2006, by the study made by EIE in 2008. Applicators of solar energy technologies use solar radiation data in studies such as suitability of the site, economics and sizing of the application. For large-scale applications of solar energy conversion technologies, most experts agree that solar radiation data should be accurate to within 5% to assess the resource, estimate the output of a solar system, and determine whether the system can reliably and economically meet daytime demand and energy requirements. It is stated that the atlas extracted by EİE may include 10% error. Additionally data for some cities at the atlas completely depend on the model estimation. So these data include error more than 10%. For these cities with error more than 10%, the performance and economic goals may not be met in the applications. In this study, a method is presented to evaluate the daily total solar insolation (kWh/m2) from the knowledge of daily total PV array output current (Ah) given by the data logger device of photovoltaic system composed from four strings each having two modules occupied in Karabuk University Renewable Energy Engineering Research and Application Center. Universities with similar small systems can collect solar energy data corresponding to their sites using presented method in this study. © Sila Science.Öğe Mobility and Resource Allocation with Intelligent Clustering in UAVs Assisted VANETs(Institute of Electrical and Electronics Engineers Inc., 2023) Mahmood, S.N.; Al-Dolaimy, F.; Alkhayyat, A.; Alani, S.; Alkhafaji, M.A.; Abbas, F.H.; Guneser, M.T.In the past decade, there has been significant development and utilization of Unmanned Aerial Vehicles (UAVs) in Vehicular Ad Hoc Networks (VANETs) across various applications. The integration of UAVs in VANETs has provided vehicles with enhanced performance by enabling communication through an aerial medium, thereby bypassing ground-level obstacles. Efficient management of mobility and network resources becomes crucial when dealing with a large number of highly dynamic vehicles. To address this, the proposed approach in this paper is Mobility and Resource Allocation with Intelligent Clustering in UAVs-assisted VANETs (MRAIC-UAVs). The key components of the proposed approach include the network model, mobility model, clustering strategy, and UAVs Cluster Head (CH) selection process. The selection of CHs is based on the evaluation of parameters such as residual energy, UAVs mobility, UAVs degree difference, distance, and UAVs stability. This approach significantly improves network energy efficiency and packet delivery ratio. The simulation is conducted using OMNET++ with the SUMO mobility generator, and a comparison is made with earlier models such as PRO-UAVs and RJEDC-UAVs. The performance analysis considers parameters such as packet delivery ratio, end-to-end delay, energy efficiency, and energy consumption. The simulation results demonstrate that the proposed MRAIC-UAVs approach achieves higher energy efficiency and packet delivery ratio while exhibiting lower end-to-end delay and energy consumption compared to earlier approaches. © 2023 IEEE.Öğe Optimal Accommodation of DERs in Practical Radial Distribution Feeder for Techno-Economic with Artificial Bee Colony Algorithm(Institute of Electrical and Electronics Engineers Inc., 2021) Frei, A.A.M.; Guneser, M.T.In this paper an optimal integration of Distributed Energy Resource (DER) such as Photo-Voltaic Generation System (PVGS), Wind Turbine Generation System (WTGS), and Electric Vehicles (EVs) in supply network simultaneously implemented for motive of abatement of overall power loss, overall cost and emanations dispatched through the thermal generators. To accomplish these planned purposes and profits, we designed a multi-objective function. For optimization of the cost we used artificial bee colony algorithm. © 2021 IEEE.Öğe Performance analysis of modulation techniques in 5G communication system(Editorial Board of Journal on Communications, 2022) Guneser, M.T.; Sahab, A.S.; Seker, C.In the 5th generation mobile communication (5G) system, better bitrate, better power consumption, and better Bit Error Rate are needed. To meet all these requirements in 5G, the waveform is important. Although the Orthogonal Frequency Division Multiplexing (OFDM) modulation scheme has been commonly used in 4G, it is difficult to meet the requirements of 5G. A lot of candidate waveforms are discussed in the 5G system included Filter Bank Multicarrier (FBMC), Universal Filtered Multicarrier (UFMC), Filtered OFDM (F-OFDM), and Generalized Frequency Division Multiplexing (GFDM), etc. However, since GFDM is no longer widely used, in this paper, FBMC, UFMC, and F-OFDM modulation schemes are discussed and compared with OFDM. Power Spectral Density (PSD), Bit Error Rate (BER), Transmitted Signal Power, Peak Average Power Ratio (PAPR) and Bit Rate parameters of the modulation schemes are studied and compared with OFDM. FBMC demonstrates to be the most promising modulation scheme for 5G systems. © China Communications Magazine Co., Ltd.Öğe Photovoltaics Cell Anomaly Detection Using Deep Learning Techniques(Springer Science and Business Media Deutschland GmbH, 2024) Al-Dulaimi, A.A.; Hameed, A.A.; Guneser, M.T.; Jamil, A.Photovoltaic cells play a crucial role in converting sunlight into electrical energy. However, defects can occur during the manufacturing process, negatively impacting these cells’ efficiency and overall performance. Electroluminescence (EL) imaging has emerged as a viable method for defect detection in photovoltaic cells. Developing an accurate and automated detection model capable of identifying and classifying defects in EL images holds significant importance in photovoltaics. This paper introduces a state-of-the-art defect detection model based on the Yolo v.7 architecture designed explicitly for photovoltaic cell electroluminescence images. The model is trained to recognize and categorize five common defect classes, namely black core (Bc), crack (Ck), finger (Fr), star crack (Sc), and thick line (Tl). The proposed model exhibits remarkable performance through experimentation with an average precision of 80%, recall of 87%, and an mAP@.5 score of 86% across all defect classes. Furthermore, a comparative analysis is conducted to evaluate the model’s performance against two recently proposed models. The results affirm the excellent performance of the proposed model, highlighting its superiority in defect detection within the context of photovoltaic cell electroluminescence images. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.Öğe A Review of Millimeter Wave Communication for 5G(Institute of Electrical and Electronics Engineers Inc., 2018) Seker, C.; Guneser, M.T.; Ozturk, T.The millimeter wave (mmWave) bands give new facilities with tremendous amount of spectrum to fifth generation (5G) mobile communication network to supply mobile data demand, which is expanding out of control. Essential differences are considered between conventional systems and mmWave communications, regarding directivity, sensitivity to blockage and high propagation loss. mmWave brings various challenges in communication on some issues such as anti-blocking, interference management, spatial reuse, dynamic control and system design for fully utilizing. In this study, we surveyed on solutions and standards for these challenges and we proposed design principles in architecture and protocols for mmWave communications. And previous studies in the literature on whether the millimeter wave band can be tested in small cell access in 5G, cellular access in 5G and wireless backhaul in 5G or not have been investigated. Also, we described prospective using areas of mmWave in 5G. © 2018 IEEE.Öğe The Thermal Modeling for Underground Cable Based on ANN Prediction(Springer Science and Business Media Deutschland GmbH, 2022) Al-Dulaimi, A.A.; Guneser, M.T.; Hameed, A.A.Many factors affect the ampacity of the underground cable (UC) to carry current, such as the backfill material (classical, thermal, or a combination thereof) and the depth at which it is buried. Moreover, the thermal of the UC is an effective element in the performance and effectiveness of the UC. However, it is difficult to find thermal modeling and prediction in the UC under the influence of many parameters such as soil resistivity (?soil), insulator resistivity (?insulator), and ambient temperature. In this paper, the calculation of the UC steady-state rating current is the most important part of the cable installation design. This paper also applied an artificial neural network (ANN) to develop and predict for 33 kV UC rating models. The proposed system was built by using the MATLAB package. The ANN-based UC rating is achieves the best performance and prediction for the UC rating current. The performance of the proposed model is superior to other models. The experiment was conducted with 200 epochs. The proposed model achieved high performance with low MSE (0.137) and the regression curve gives an excellent performance (0.99). © 2022, Springer Nature Switzerland AG.Öğe Towards Hydrogen Sector Investments for Achieving Sustainable Electricity Generation(Libyan Center for Solar Energy Research and Studies, 2024) Khaleel, M.; Yusupov, Z.; Guneser, M.T.; Nassar, Y.; El-Khozondar, H.; Ahmed, A.; Alsharif, A.Hydrogen constitutes an integral component within an expansive array of energy technologies poised to facilitate the nation’s transition towards achieving a net-zero state. In additional, this endeavor involves harnessing regional resources judiciously, thereby fostering equitable and sustainable growth. The strategic development and utilization of hydrogen technologies necessitate a nuanced approach, encompassing an assessment of diverse technologies spanning various sectors especially power sector. Such a meticulous strategy aims to forge the most efficacious, cost-effective, and sustainable pathways, underpinned by the discerning adoption of these technologies in the market. The article delves into the intricate relationship between hydrogen and fuel cell technologies, shedding light on their combined impact on the evolving landscape of electricity generation. A particular focus is placed on the integration of variable renewable energy sources, elucidating how hydrogen serves as a key enabler in optimizing the utilization of these fluctuating energy resources. In addition, the article encompasses various methods of hydrogen production, exploring their technological advancements and implications for achieving sustainable electricity generation. © 2024, Libyan Center for Solar Energy Research and Studies. All rights reserved.Öğe Trust based Data Dissemination and Queue Management for Vehicular Communication Networks(Institute of Electrical and Electronics Engineers Inc., 2023) Ali, R.R.; Alkhafaji, M.A.; Guneser, M.T.; Al-Dolaimy, F.; Alsalamy, A.; Alani, S.; Abbas, F.H.A Vehicular Adhoc Network (VANET) is used in maximum of the applications of intelligent transportation system (ITS). It is one among the high-speed communication networks as the results it undergone few of the drawbacks such as congestion occurrence, computation delay and overhead occurrence and so on. It is essential to monitor the network periodically and complicated to monitor the VANETs. In this paper, a Trust based Data dissemination and Queue management for VANETs (TDQ-VANETs) are introduced. At the initial stage, before the data transmission direct trust, indirect trust and total trust values of each vehicle are measured and it gets updated periodically. At the time of data transmission queue management is performed using dual queue model that employs both CSMA and TDMA models to transfer the data. The simulation of the proposed TDQ-VANETs approach is performed in NS2 and SUMO. The packet delivery rate, computational delay, computational overhead and throughput are the parameters used for performance analysis. The results compared with the earlier approaches such as AJ-MOFA and RO-DLAA. The results show that the TDQ-VANETs approach achieved superior performance in terms of packet delivery ratio and throughput. © 2023 IEEE.Öğe Using Crow Algorithm for Optimizing Size of Wind Power Plant/Hybrid PV in Libya(Institute of Electrical and Electronics Engineers Inc., 2019) Elbaz, A.; Guneser, M.T.To design an efficient, sustainable and feasible hybrid system sizing optimization should be applied. In this study, a hybrid power plant, which consists of an off-grid PV and wind energy system to supply the demand of solar energy research center in Libya, was designed. Crow search technique was applied to decrease the installation cost and operating cost by sizing each part of hybrid system. We optimized the number of PV modules, powers of wind turbines and capacities batteries. After offering the design of hybrid system, we compared performance of crow algorithm with particle swarm optimization algorithm performance. Regarding the comparison, crow algorithm results sign a better performance for sizing a lower cost hybrid power plant consists of PV and wind systems. © 2019 IEEE.Öğe Wideband and High Gain Antenna of Flowers Patches for Wireless Application(Springer Science and Business Media Deutschland GmbH, 2023) Gatea, Q.M.; Alkhafaji, M.A.; Guneser, M.T.; Obaid, A.J.Because of its modest properties, the slot antenna has become an unsuitable contender in many applications. To achieve high gain, small size, and a wide frequency range in the proposed antenna, two layers of flower-shaped cells are positioned at various heights according to Al-Fabry–Perot theory. The improvements in antenna performance extended to the feed line and the slot drilled by the ground plate, allowing the amount of current flowing to be controlled. The number of cells in each of the metasurface layers above the typical antenna is 4 × 4. The antenna has a peak gain of 9.8 dB and a bandwidth of 2.6 GHz between 4.33 and 6.93 GHz. The CST software was used to carry out the simulation procedure. The antenna’s characteristics have made it an excellent contender for wireless applications. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
