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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 Design of dual-band frequency compact microstrip antenna for UMTS and WLAN applications(Institute of Electrical and Electronics Engineers Inc., 2017) Seker, C.; Güneser, M.T.In this study, we designed multi and wide band frequency monopole antenna, consisted of FR4 as a substrate with thickness of 1.6mm. The radiating element is printed on a truncated metallic ground plane. Proposed antenna operates in UMTS and WLAN wireless communications applications at 1.9 GHz and 4.9 GHz respectively. The antenna was applied on FR4 plate with the dimensions of 42 × 42 × 1.6 mm3. This monopole antenna was designed using computer simulation technology 2015 (ANSYS HFSS: High Frequency Electromagnetic Field Simulation). The performance was examined based on return loss, radiation pattern, gain, efficiency and VSWR. © 2017 IEEE.Öğe Designing an irrigation system using photovoltaic energy by considering crop type in Fergana Valley(EDP Sciences, 2021) Kuzey, S.; Seker, C.; Elweddad, M.; Güneser, M.T.Today, the importance of energy cost and efficiency is gradually increase. The decrease in drinking water and agricultural water resources, increases the interest in drip irrigation systems in agricultural irrigation. Environmentally friendly photovoltaic drip irrigation systems (PVDIS) are the appropriate solution in regions where there is no electricity distribution network, where it is far away, or where power cuts are frequently. This study is carried out in the Fergana Valley of Uzbekistan. Regional climate data obtained from Climwat 2.0 software are processed in Cropwat 8.0 software. Crops that are both the source of livelihood of the people of the region and that can be used in this study have been determined. Annual and daily water needs are analyzed so that these crops are irrigated every seven days. A system is designed by taking the data of the crop with the highest water requirement as a reference. The drip irrigation system is set up in a PVsyst 7.1.7 simulation environment to pump 114.24 m3 of water daily from a 5-meter-deep river with a 1.8 kW photovoltaic system. The efficiency of the system is 58.7% and the efficiency of the pump is 34.5%. Crop water need is met at the rate of 98.87%. It is predicted that the designed and analyzed PVDIS will provide efficiency in energy and water resources. © The Authors.Öğe Detection of Faulty Solar Panels Using Artificial Intelligence and Machine Learning Methods(Institute of Electrical and Electronics Engineers Inc., 2023) Faniar, A.A.; Seker, C.One of the most promising approaches for detecting faults in solar panels is using computer vision techniques based on deep learning algorithms. Deep learning has proven to be highly effective in image classification tasks, and several studies have demonstrated its potential for detecting faults in solar panels. This paper, proposes a method for the classification of faulty solar panels using Convolutional Neural Networks (CNNs). CNN based on the encoder method is used for extracting features from the faulty and non-faulty images which received from the PV solar systems. Four classes that have 0%, 33%, 66%, and 100% defective rates have been considered to train the machine learning method. The Decision Tree, Support Vector Machine (SVM), KNN, Ensemble, and Discriminant methods were used for the machine learning and the accuracy for these methods has been obtained as 94.88%, 76.20%, 97.45%, 98.34%, and 80.23%, respectively. © 2023 IEEE.Öğe Distributed Denial-Of-Service (DDoS) in Software-Defined Network Based on Artificial Neural Network and Binary Multi-Neighborhood Artificial Bee Colony (BMNABC) Algorithm(Institute of Electrical and Electronics Engineers Inc., 2023) Ateeyah, E.; Seker, C.In this paper, an intelligent intrusion detection system in a software-based network with metaheuristic algorithm is presented. In the proposed system, the controllers use the binary multi-neighborhood artificial bee colony Algorithm, to select the features. In the proposed method, the artificial neural network is used to classify the attach and non-attach data. For comparison of the results the machine learning algorithm such as support vector machine, decision tree, Ensemble, Navie Base, and K-NN methods has been used and evaluated. the best results have been obtained for artificial neural network and it was 98.99%, 98.97%, 98.94%, 98.95%, and 97.95% for accuracy of train, accuracy of test, precision test, and recall test, and F1 test, respectively. Also, the worst results have been obtained for the DT method and it was 97.54%, 97.56%, 97.42%, 97.76%, and 97.09% for accuracy of train, accuracy of test, precision test, and recall test, and F1 test respectively. © 2023 IEEE.Öğe Optimization of Compact Microstrip Monopole Antenna Parameters with NS-RFO and Artificial Intelligence in Antenna Design(Institute of Electrical and Electronics Engineers Inc., 2024) Pak, S.; Güneser, M.T.; Seker, C.Developments in artificial intelligence directly affect various fields of science. This is especially important in the solution of higher-order models and systems that do not have an exact equation. Due to the difficulties in modeling electromagnetic systems, artificial intelligence-based studies have a special importance in this field. In this study, the multidimensional optimization of a compact microstrip monopole antenna that can be used in next generation communication applications is studied with a new artificial intelligence algorithm, the red fox algorithm. Thus, a compact microstrip antenna with broadband (8.75 GHz - 11.25 GHz) radiation at 10 GHz resonant frequency is designed for X-Band applications. © 2024 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 A Reliable Transmission and Extraction of Textual Information Using Keyless Encryption, Steganography, and Deep Algorithm with Cuckoo Optimization(Springer Science and Business Media Deutschland GmbH, 2023) Pandey, B.K.; Pandey, D.; Alkhafaji, M.A.; Güneser, M.T.; Seker, C.The entire work postulates a fusion of an innovative keyless image encoding approach based on a chaotic map and steganography. Nearly every single picture element has been encrypted by rearranging pixel values that are then assessed by such an adapted cat map as well as steganography has been used in the suggested methodology to transmit keyless encoded textual information utilizing a cover image, with encoded textual image information inserted into cover images. But on the other hand, retrieving textual images embedded in the receiver has indeed been regarded as the most challenging process. Furthermore, a sender will indeed transfer reasoning rather than a key to the recipient, ignoring the fact that acquiring engrained textual information hidden inside the cover image to enhance efficiency would have been challenging. Steganography was easily accomplished by placing data bits of secret textual image information into the cover image’s least significant bit of picture elements. The image quality, on the other hand, suffers greatly from the inclusion of an encrypted message. Images could indeed cause some disturbances from time to time. As a consequence, non-smooth areas of the image have been regarded as smooth. Therefore, the weighted Naive Bayes algorithm (NBA) method is being used in the illustration to retrieve the appropriate textual image information from complicated deteriorated images. Normally, images comprise a small amount of noise, so the introduction of the guided filter (GF) during the initial preprocessing phase is required. A very important feature in the textual image information extraction procedure was obtained utilizing a variety of techniques, including Gabor transform (GT), weighted Naive Bayes algorithms (WNBA), and a high-quality learning procedure for standard procedure. Eventually, textual content identification and recognition are performed using a combination of DNN and cuckoo algorithms. Again, for the proposed system, the set of data IIIT5K is being used, as well as high performance has been gained with parameters such as mean square error and peak signal-to-noise ratio. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.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.
