Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections

Permanent URI for this collectionhttps://hdl.handle.net/20.500.13091/3

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30 Ekim 2020 Ege Denizi Depreminin Kabuk Deformasyonuna Etkisinin Tusaga-aktif Verileri ile İncelenmesi
(Gumushane University, 2024) Baş, İ.Ç.; Abbak, R.A.
The TUSAGA-Active (Turkish National Continuous Operating Reference System) is available for commercial and academic studies with 168 fixed GNSS (Global Navigational Satellite Systems) stations. Its capability to provide high-accuracy data facilitate to monitor deformations in engineering structures resulting from crustal movements. On October 30, 2020, an earthquake with a magnitude of ML = 6.6 (MW = 6.9) struck the Aegean Sea at 14.51 local time. The aim of the study is that TUSAGA-Active stations located within the earthquake-affected area are thoroughly examined to detect any crustal deformations caused by this seismic event. As part of this analysis, deformation directions and magnitudes were determined for stations AYD1, CESM, DIDI, IZMI, KIKA, and SALH. RINEX data from 15 days before the earthquake date and 11 days after were processed using CSRS-PPP (Canadian Spatial Reference System Precise Point Positioning Service) and OPUS (Online Positioning User Service), which are internet-based GNSS services. The results of this analysis revealed that the CESM station experienced the most significant displacement, averaging 57.39 mm in the north direction according to the CSRS-PPP service. Similar results were obtained from the OPUS service data. © 2024, Gumushane University. All rights reserved.
Academic Graph: a Literature Review System
(Institute of Electrical and Electronics Engineers Inc., 2022) Çataltaş, M.; Yumuşak, S.; Oztoprak, K.
As the number of academic publications increase, preparing a literature review becomes more challenging. This paper introduces an automated literature review support system to ease the literature review process for academia with reference graphs, abstract and full document summaries, paper clusters by keywords, abstracts, and abstract summaries combined. The output of the proposed system may ease exploring the state-of-the-art research. © 2022 IEEE.
Accurate Edge Detection With Support of Reflectance Transformation Imaging
(Institute of Electrical and Electronics Engineers Inc., 2022) Kaya, Burhan; Durdu, Akif
Reflectance Transformation Imaging (RTI) is a method of photographing an object that reveals details that are invisible to the naked eye. The input of RTI consists of a series of images captured by a fixed positioned camera and each illuminated from a known and different direction by lights. Reflection Transform Imaging is widely used to produce quality models from multi-light image data. It is frequently preferred for various studies in the field of cultural heritage. For the first time in this paper, the RTI photographing method has been used outside of its traditional using way. It is used to solve the well-known problem of edge detection. Reflection transform cannot be used actively, because it is difficult to create an RTI experimental environment in daily life. However, under certain conditions, the approaches mentioned in this paper will be used in daily life, from the analysis of images in every field. In this paper, the ideas that it can be applied in every partially controlled area that needs high resolution object detection are discussed. With the method mentioned in this statement, a new approach has been proposed and proven based on RTI basics for edge and corner detections. © 2022 IEEE.
Citation - WoS: 3
Citation - Scopus: 4
Achievable Rate Analysis for Two-Way Relay Non-Orthogonal Multiple Access Systems
(IEEE, 2021) Özdemir, Özgür
This paper investigates the performance of a non-orthogonal multiple access (NOMA) based two-way relaying system where the users want to exchange independent messages with the help of a decode-and-forward relay. We consider transmission over three phases where the first and second phases are allocated to the transmissions of the users and after detection the relay applies superposition coding and transmits the network encoded symbol to the users in the third phase. Exact analytical expressions are derived to characterize the achievable average rate of the system over independent Rayleigh fading channels. Computer simulations are also presented to confirm the theoretical analysis. Analytical and simulation results show that the proposed three-phase two-way relaying scheme with NOMA outperforms the two-phase and four-phase NOMA-based two-way relaying scenarios in terms of achievable average rate.
Citation - Scopus: 1
Achievable Rate of Noma-Based Cooperative Communication Systems With Best Relay Selection Over Cascaded Rayleigh Fading Channels
(IEEE, 2020) Özdemir, Özgür
In this paper, the achievable rate analysis of NOMA-based cooperative communication systems with best relay selection is studied. The cascaded Rayleigh fading channels are considered since investigations have shown that cascaded channel structure agree better with mobile network models such as inter-vehicular communication systems. A cooperative network where a source terminal communicates with a destination directly and through a selected relay among K relays is considered and the achievable average rate of this system using NOMA is found by computer simulations. The obtained results for cascaded Rayleigh fading channels in case of decode and forward protocol have shown that the average rate is decreased as the cascading degree increases. It has been also seen that for a given cascading degree the average rate performance of the system is increased when the number of total relays is increased.
Addressing Time Delays in Blood Glucose Regulation for T1DM Using a PD Controller and Smith Predictor Method
(Institute of Electrical and Electronics Engineers Inc., 2025) Kurnaz, Ender; Aydogdu, Omer
Diabetes Mellitus, particularly Type 1 Diabetes (T1DM), is a condition where the pancreas does not produce enough insulin, causing abnormal Blood Glucose (BG) levels. Proper BG regulation is essential for managing T1DM and preventing related complications. In this research, a hybrid method that integrates the PD controller and Smith Predictor is employed to tackle the issue of time delays in blood glucose regulation for T1DM patients. This study compares two control strategies: a Proportional-Derivative (PD) controller and the Smith Predictor, both of which address time delays inherent in glucose monitoring and insulin delivery systems. The PD controller parameters are determined using MATLAB Simulink's PID Tuner, and the system's transfer function was derived through System Identification. The time response analysis of both control methods shows that while their rise times are similar, the Smith Predictor offers a significant reduction in delay and peak times. © 2025 Elsevier B.V., All rights reserved.
Adrenal Tumor Classification on T1 and T2-Weighted Abdominal Mr Images
(Institute of Electrical and Electronics Engineers Inc., 2019) Barstuğan, Mücahid; Ceylan, Rahime; Asoğlu, Semih; Cebeci, Hakan; Koplay, Mustafa
Adrenal tumors occur on adrenal glands and can be malignant. Adrenal glands consist of cortex and medulla. If cortex or medulla produce hormones extremely, the hormonal unbalance situation arises. This situation causes adrenal tumor occurrence on adrenal glands. In this study, adrenal tumors on T1 and T2-weighted MR images were classified by the SVM algorithm. Before the classification stage, different feature extraction algorithms and filtering methods were used for preprocessing. The classification results that were obtained by four different methods were evaluated on five different evaluation metrics as sensitivity, specificity, accuracy, precision, and F-score. The best classification performance was obtained with Method 2 on T1-weighted MR (Magnetic Resonance) images where the sensitivity, specificity, accuracy, precision, and F-score metrics were obtained as 99.17%, 90%, 98.4%, 99.17%, and 99.13%, respectively. © 2019 IEEE.
Citation - Scopus: 2
Advanced Applications of Green Materials for Gas Separation and Storage
(Elsevier, 2020) Kırbıyık Kurukavak, Çisem; Kuş, Mahmut
Extraordinary increase in global energy demand and supply, thus the environmental pollution, is one of the most important problem for today’s modern life. Gas separation and storage applications are closely related to control of the greenhouse gas and to use of clean and renewable energy. The development of green materials with desired combination properties and corresponding methods for target applications, which can minimize the environmental impact by using renewable sources has been having a growing attention over the last decades. Green and eco-friendly techniques, also called as “green chemistry, " focus on the processes and products, which reduce the use of hazardous substances and nonrenewable sources. Membrane separation, absorption, and physical adsorption for gas separation, purification, and storage are considered to be energy-efficient, low-cost, renewable, and environmental-friendly for a sustainable future. In this section, we highlight the details of these green techniques in gas separation and storage applications. © 2021 Elsevier Ltd. All rights reserved.
Citation - Scopus: 2
Advanced Applications of Green Materials in Bioelectronics Applications
(Elsevier, 2020) Yılmaz, Tuğbahan; Kuş, Mahmut
Green materials have great potential to become a primary research area for bioelectronic integration. Over the last three decades, bioelectronic applications have been getting great interest due to their low cost, flexible, nontoxic, large-volume electronic components that are sustainable, biocompatible, biodegradable, and bioresorbable. Therefore the versatility of bioelectronics applications, such as organic field-effect transistors and biosensors, promises a bright future. This chapter will highlight recent progress in the natural materials and some of their applications in bioelectronics devices. The key strategies and the forecast perspectives of this research field are also briefly summarized. © 2021 Elsevier Ltd. All rights reserved.
Advanced Oxidation Processes for Degradation of Pharmaceuticals Used During Covid-19 Pandemic
(Elsevier, 2023) Ramirez, I.; Mariam, E.; Kumar, A.; Yanardağ, D.; Villaseñor-Basulto, D.L.; Garcia-Huante, Y.G.; Ordaz, A.
The COVID-19 pandemic impacted public health, the economy, and the environment worldwide. During the pandemic, high demand for prescribed pharmaceuticals to treat COVID-19 and other consequential illnesses was observed, including antiviral, corticosteroids, antidepressants, analgesics, and antibiotics. The excessive use of these pharmaceutical compounds provoked new concerns regarding their presence in water bodies. Although the concentrations of these compounds in water are in trace levels (e.g., ng L−1 in most cases), the scientific community has classified them as emerging contaminants of paramount importance. Wastewater and drinking water systems have been encouraged and, in some cases, required to remove these emerging contaminants. Among various treatment techniques, advanced oxidation processes (AOPs) are potential technologies to degrade and remove these contaminants. AOPs represents a broad group of treatment processes for oxidizing compounds that are typically resistant to conventional redox processes. In this chapter, the impact of COVID-19 on water systems is discussed to understand the current circumstances of associated pharmaceutical compounds. We explore the effectiveness of AOPs from the lens of removing these organic molecules. In addition, we provide an overview of the current methods for the detection and quantification of pharmaceutical compounds against COVID-19 in wastewater. The information presented in this chapter has the potential to help engineers, scientists, and public health professionals navigate how AOPs can be used for degradation of pharmaceuticals in water. © 2024 Elsevier Inc. All rights reserved.
Citation - Scopus: 2
Agricultural Land Suitability Analysis
(Springer International Publishing, 2023) Orhan, O.; Makineci, H.B.
Air Quality Effects of Antalya Forest Fires in Turkiye
(Hysen MANKOLLI, 2025) Dursun, S.; Kırbıyık, B.; Mankolli, H.
The 2021 Turkey forest fires began on July 28, 2021, in the Manavgat district of Antalya and spread to many cities in Türkiye. As of August 12, 2021, 299 forest fires, most of which broke out in 53 provinces in the Mediterranean, Aegean, Marmara, Western Black Sea, and Southeastern Anatolia regions, had killed eight people. A significant increase compared to previous years, more than 150,000 hectares of forest and settlements had been reduced to ashes, and thousands of animals had died. The 299 forest fires, 15 of which were large, that started on July 28 were fully contained as of August 12, 2021, with the extinguishing of the fire in Köyceğiz district of Muğla. The fires were fought with 15 firefighting aircraft, 62 helicopters, 9 unmanned aerial vehicles, 1 unmanned helicopter, 850 water trucks and water tankers, 450 construction equipment, and 5,250 personnel. Many countries, including Azerbaijan, Ukraine, Russia, Spain, Croatia, Qatar, and Iran, provided personnel and vehicle support. Thousands of locals and tourists were evacuated from hundreds of villages and towns by land and sea as the fires spread to populated areas. The large-scale forest fire that broke out around Antalya is also of environmental concern. Air pollution caused by the fire, due to weather conditions, carries a risk of affecting the city centre. While Antalya's city centre’s location on the Mediterranean coast benefits from reducing air pollution, the high humidity and pressure fluctuations that occur occasionally contribute to increased air pollution. According to assessments of existing air monitoring network data in Antalya during the fire period, airflow carrying combustion gases from higher elevations to the Mediterranean Sea prevented further deterioration in air quality. © 2025, Hysen MANKOLLI. All rights reserved.
Aligning Objects as Preprocessing Combined With Imitation Learning for Improved Generalization
(Institute of Electrical and Electronics Engineers Inc., 2024) Barstugan, Mucahid; Masuda, Shimpei; Sagawa, Ryusuke; Kanehiro, Fumio
Imitation learning method transfers human behavior to the robots or machines. This method aims to allow robots or machines to learn by observing tasks performed by human operators and imitating these tasks, rather than direct programming. ACT as an imitation learning method shows the high capability for automating dexterous manipulation tasks. From the viewpoint of industrial application, pose of the target object will be varied. However, even if only for the initial object pose variation, imitation learning method like ACT usually needs a lot of demonstration data that covers pose variation to train the policy that can generalize for. Collecting large demonstration dataset takes many efforts. This study created an object pick-and-place controller to eliminate pose variation as a preprocess step with YOLOv8, which is a recent object detection technique. The preprocess step automatically moves the object to a specific position and eliminates the pose variation. We show that our system effectiveness on the randomly placed bag opening task that requires both generalization for object pose variation and dexterous bimanual manipulation. The bag opening task was conducted with ACT and preprocess applied ACT methods, and the results were evaluated to examine the effect of the preprocess method to generalization process.
Citation - WoS: 8
Citation - Scopus: 10
Analysis and Design of a Transimpedance Amplifier Based Front-End Circuit for Capacitance Measurements
(SPRINGER INTERNATIONAL PUBLISHING AG, 2020) Demirtaş, Mehmet; Erişmiş, Mehmet Akif; Güneş, Salih
In this study, transimpedance amplifier based front-end circuits which can be employed to measure small capacitances were designed, analyzed and simulated using analog electronic circuit simulator. The front-end circuit converts the current flowing through the measured capacitance into a modulated voltage value which contains information regarding the desired capacitance. The frequency-domain, time-domain, stability and noise analyzes were carried out numerically and in simulation environment using a circuit simulator. The analytical, numerical and simulation results can be used to design optimized, precise and stable transimpedance amplifiers with low-noise value. The measured capacitance value was 10 pF which is low enough to simulate various real-world applications. Three commercially available, off-the-shelf operational amplifiers with different peripheral passive components were employed for computer based analysis. The designed transimpedance amplifiers are suitable to connect with capacitance extraction circuits which use analog or digital demodulation techniques.
Citation - Scopus: 7
Analysis of Average Bit Error Rate for Ofdm-Im Systems With Hardware Impairments Over Nakagami-M and Weibull Fading Channels
(Institute of Electrical and Electronics Engineers Inc., 2022) Ceniklioğlu, Büşra; Develi, I.; Canbilen, Ayşe Elif; Lafcı, Mustafa
Orthogonal frequency division multiplexing together with index modulation (OFDM-IM) is a brilliant key alternative to the traditional orthogonal frequency division multiplexing (OFDM) schemes for future communication technologies whereby it has high spectral and energy efficiency. However, there are still key issues that need to be adressed to evaluate possible applications in practical systems. Accordingly, we investigate the performance of OFDM-IM systems over Nakagami-m and Weibull fading channels that suffer from transceiver hardware impairments (HWIs) in this paper. Specifically, a maximum likelihood (ML) detector is applied for OFDM-IM-based transmission and the system performance is analyzed under the effect of HWIs considering average bit error rate (ABER) by utilizing computer simulations. The obtained results show that the HWIs have serious destructive effects on the overall system performance. © 2022 IEEE.
Citation - WoS: 27
Citation - Scopus: 28
Analysis of the Effect of Land Consolidation Projects in Terms of Land Fragmentation and Parcel Shapes: the Case of Konya, Turkey
(SPRINGER HEIDELBERG, 2020) Ertunç, Ela
Agricultural land fragmentation and irregularity of parcel shapes are a structural land management problem that prevents the development of modern agriculture. Januszewski (JI) and Simmons (SI) indices are widely used to determine agricultural land parcel fragmentation. Shape index (SHI) and fractal dimension (FD) are also commonly used to evaluate parcel shapes. In this study, it is aimed to evaluate the land consolidation project in terms of fragmentation and change of parcel shapes. The purpose of land consolidation projects is to ensure the optimum use of the land and to obtain maximum benefit. The success level of land consolidation projects should be evaluated. Therefore, changes of land parcel fragmentation and parcel shape changes before and after the LC were analyzed using candir District project data. In addition, the effects of LC project on parcel shape and size, the effect on parcel boundaries, and the effect of change of the distance between parcels on fuel saving and changes due to irrigation were investigated. As a result, according to Januszewski and Simmons indices, the ratio of farm enterprise whose index values were less than 0.40 was 1.17% and 3.7% before the LC, respectively, and decreased to 0.6% and 2.3% after the LC. The obtained values showed that the land parcel fragmentation decreased in candir District. In addition, the ratio of farm enterprises whose SHI were greater than 1.60, which implies non-uniform geometric parcel shapes, was 6.5% before the LC, but this ratio decreased to 5.8% after the LC. While the ratio of farm enterprises having parcels, which were non-uniform according to FD values, was 1.6% before the LC, this rate decreased to 0.9% after the LC. These results show that JI and SI indexes can be used in land consolidation projects. In addition, SHI and FD indices are generally parameters that can measure how close the parcel shapes are to the smooth geometric shapes, but they do not give successful results in each parcel. Finally, according to the results of the survey conducted with the farmers, the LC provided a significant economic gain to farm enterprise owners in this region.
Citation - WoS: 3
Citation - Scopus: 1
Analysis of the Effects of Adding Pyroclastic Rock To Red Mud for the Production of a Baked Building Material in Terms of Its Resistance To Frost Actions
(SPRINGER INTERNATIONAL PUBLISHING AG, 2020) Dereli, Mustafa; Tosun, Mustafa
In the aluminum sector, approximately 130 million tons of waste red mud was produced in the last year. Such a high amount of wastes causes their storage areas to become a threat to the environment. Numerous studies have been conducted in the literature to eliminate this environmental threat. However, it is observed that these studies are mostly conducted on only a part of the waste, and there are few studies on the whole consumption of waste. Due to the said lack in the literature, it is thought that this waste can be utilized as a baked building material and consumed systematically. However, according to the literature and previous studies, it is observed that the use of the waste alone will not produce a quality building material. Therefore, otiose pyroclastic rocks were included within the scope of the study to be used together with the waste material. Accordingly, micronized pyroclastic rocks obtained from different regions were added to red mud at the proportions of 10, 20, 30, 40, and 50% by weight. Bentonite of 3% was added to mixtures to prevent capillary cracks. As a result of the preliminary experiments conducted on the baked building material samples obtained with the above-mentioned mixture ratios, two mixture types from each region with the highest compressive strength were selected. Physical and mechanical experiments were conducted on the samples to determine the resistance to frost actions-as an outer ambient condition with the most destructive effect-of the baked building materials (especially brick, etc. with the widest area of usage in outer walls and surface cover materials such as ceramic, clinker pavement, etc.) which will be obtained with these mixtures. As a result of the study, the optimum mixture type was determined to be the sample formed by adding 10% volcanic tuff around campus to red mud and baking it at a temperature of 1050 degrees C. Furthermore, different mixture types formed by adding the micronized pyroclastic material from other regions could reach sufficient values in terms of both compressive strength and frost actions. According to the results of the study, this material will fulfill the need for raw material as a building material resistant to frost actions and used in outer masonry. In this study, a process was obtained to eliminate a potential environmental problem, and a contemporary building material intended to be used as a sustainable building material was produced.
An Application of Tree Seed Algorithm for Optimization of 50 and 100 Dimensional Numerical Functions
(Institute of Electrical and Electronics Engineers Inc., 2021) Güngör, İmral; Emiroğlu, Bülent Gürsel; Uymaz, S.A.; Kıran, Mustafa Servet
The Tree-Seed Algorithm is an optimization algorithm created by observing the process of growing and becoming a new tree, the seeds scattering around trees in natural life. In this study, TSA is applied to optimize high-dimensional functions. In previous studies, the performance of the tree seed algorithm applied for the optimization of low-dimensional functions has been proven. Thus, in addition to running the algorithm on 30-dimensional functions before, it has also been applied to solve 50-and 100-dimensional numerical functions. This improvement, called the tree seed algorithm, is based on the use of more solution update mechanisms instead of one mechanism. In the experiments, CEC2015 benchmarking functions are used and the developed tree seed algorithm is compared with the base state of TSA, artificial bee colony, particle swarm optimization and some variants of the differential evolution algorithm. Experimental results are obtained as mean, max, min solutions and standard deviation of 30 different runs. As a result, it is observed by the studies that the developed algorithm gives successful results. © 2021 IEEE.
Arazi Toplulaştırma Projelerinde Parsel Şekil Değişiminin Nicel Değerlendirmesi: Konya İli Çumra İlçesi Abditolu Mahallesi Örneği
(Gumushane University, 2021) Ertunç, E.
Land consolidation (LC) are projects that combine scattered and fragmented parcels, improving parcel shapes, and enabling the development of irrigation, drainage and road services for landowners. Improving existing parcel shapes is one of the most important benefits of Land Consolidation projects. There are many indexes that determine the parcel shape change before and after land consolidation. These are Shape Index (SI), Fractal Size Index (FD), Area Shape Factor (AFF), Shape Factor (FORM), Area Perimeter Ratio (APR), Square Pixel Scale (SqP) and Compactness Index (Icmp). These indexes are used in the literature to quantitatively measure the suitability of parcel shapes for modern agriculture. In this study, parcel shape changes pre-consolidation and post-consolidation have investigated by using the data of Abditolu land consolidation project in Çumra district of Konya. Therefore, SI, FD, AFF, FORM, APR, SqP and Icmp, which are among the shape index indicators, have used. As a result of the study; FD, SI, AFF, FORM, SqP, APR and Icmp average values before LC are 1.3579, 1.8486, 0.0424, 0.5334,-0.7819, 6.5530 and 0.5334, respectively; after the LC, it has calculated as 1.3084, 1.3912, 0.0465, 0.5848,-0.8478, 4.9320 and 0.5848. According to the results, there has a general improvement in parcel shapes before and after the LC. FD, SI, FORM, Icmp indexes better reflected parcel shape change before and after LC. © 2021, Gumushane University. All rights reserved.
Citation - WoS: 29
Citation - Scopus: 41
Artificial Potential Field Algorithm for Obstacle Avoidance in Uav Quadrotor for Dynamic Environment
(Ieee, 2021) Ma'arif, Alfian; Rahmaniar, Wahyu; Marquez Vera, Marco Antonio; Nuryono, Aninditya Anggari; Majdoubi, Rania; Cakan, Abdullah
Artificial potential field (APF) is the effective real-time guide, navigation, and obstacle avoidance for UAV Quadrotor. The main problem in APF is local minima in an obstacle or multiple obstacles. In this paper, some modifications and improvements of APF will be introduced to solve one-obstacle local minima, two-obstacle local minima, Goal Not Reachable Near Obstacle (GNRON) and dynamic obstacle. The result shows that the improved APF gave the best result because it made the system reach the goal position in all of the examinations. Meanwhile, the APF with virtual force has the fastest time to reach the goal; however, it still has a problem in GNRON. It can be concluded that the APF needs to be modified in its algorithm to pass all of the local minima problems.

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