WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections

Permanent URI for this collectionhttps://hdl.handle.net/20.500.13091/2

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Air Quality of Karaman City, Turkey
(Hysen MANKOLLI, 2020) Mankolli, H.; Toros, H.; Dursun, S.
Karaman is a new and developing city in Turkey's economy is developing and the industry. Geographically, the location of Karaman is located in the south of the Central Anatolia region, in the north of the Taurus Mountains. With its fertile lands, the economy and industry based on Karaman agriculture are developing. Karaman city center has modern industrial facilities open for employment. It is known to have an important industrial potential in recent years. The total surface area of 887 thousand ha of Karaman province; 229 thousand hectares (26%) are flat areas and 654 thousand hectares (74%) are mountainous. The population size is around 250 thousand. Turkey is ahead in the production of bakery products, 35% and 20% of total wheat production is produced by Karaman biscuit manufacturing industry. Turkey, as in general in Karaman in fossil fuel consumption for heating in the cold winter air pollution as it is used in many developed cities is also observed. Traffic vehicles vehicle exhausts and fossil fuels used in industry are other important sources of pollution in the city center. In Turkey, the year 2020 at the beginning of March with the gorilla-19 Covidien epidemic, there has been a significant improvement in air quality. The field dust event that occurred after pandemic virus measures, especially PM pollution increase was observed. © 2020, Hysen MANKOLLI. All rights reserved.
Citation - WoS: 1
Ambient Particle Matter Pollution of Bosnia District of Konya City, Turkey
(HEALTH & ENVIRONMENT ASSOC, 2019) Dursun, Şükrü
Population growth, urbanization, industrialization and migration have been effected in city in the recent century since the beginning of the world is the most important problems. Konya city Turkey during last 2-3-decade, important province pile pollution has increased a median. Air pollution, which started to be effective after 1975 in Konya, is the most important question of the city today. Konya Metropolitan Municipality Environmental Protection and Control Department's regulation on the subject continues air pollution follows: It is important to board of directors with air pollution. The air quality measuring devices of Konya city are monitored on the regularly and are also shared online for the public to follow. In addition, the appearance of polluting sources influences the causes of a pollutant (Industry, Traffic and Domestic Business) in the city. For this purpose, the project of Modelling Air Quality and Creating Clean Air Action Plans was launched in 2017. Air Pollution monitoring project results, which were prepared and completed in 2009, are aimed to be prepared and already underway. It focusses on reducing airborne levels towards this goal; we evaluate it in every dimension and implement the explanation. Bosnia district of the Konya is the most fast-growing part with parallel to increasing university student in the region. In this study atmospheric particle matter levels were investigated and modelled. Evaluation and evaluation of the measurement results were made by Surfer v8 program and modelling maps were created. Form the results of this study; source of air pollution will be investigated. As a result of the evaluation of the measurement results made at 22 different points, it was observed that when the assessment was made according to the WHO and EPA, values were higher than the limit values at some measurement points.
Analysis of Factors Affecting Travel Costs in Beyşehir Lake National Park
(Tekirdag Namik Kemal University, 2022) Karakayacı, Zuhal; Karakayacı, Özer; Polat, Ahmet
Milli parklar sahip olduğu doğal, kültürel ve tarihi değerlerle rekreasyonel ve turizm amaçlı olarak değerlendirilmektedir. Türkiye’nin ikinci büyük milli parkı olan Beyşehir Gölü Milli Parkı da farklı zenginliklerle birçok insanın ziyaret ettiği yerlerden biridir. Milli parklar rekreasyon ve turizm amacıyla kullanıldığında, kullanıcılara bir maliyet getirmektedir. Seyahat, bir rekreasyonel faaliyet için tamamlayıcı bir nitelik taşımaktadır, çünkü bu faaliyetin gerçekleşebilmesi için söz konusu alana seyahat etmek gerekmektedir. Bu kapsamda, çalışmada Beyşehir Gölü Milli Parkı’nın seyahat maliyeti ve buna etki eden faktörleri incelenmiştir. Beyşehir Gölü Milli Parkı içinde bulunan çeşitli rekreasyon yerleri için ortalama seyahat maliyeti 252.97 TL, kişi başına düşen seyahat maliyeti 74.93 TL olarak hesaplanmıştır. Seyahat maliyetini etkileyen faktörleri incelemek için ziyaretçilerin seyahat maliyetleri yarı logaritmik regresyon modeliyle analiz edilmiştir. Bağımlı değişken seyahat süresince yapılan harcamaların toplamından oluşmakta, seyahat maliyetini etkileyen faktörler olarak, yaş, eğitim, medeni durum, gelir, geliş sıklığı, geliş amacı, geliş mesafesi gibi değişkenler alınmıştır. Analizlerde kullanılan; gelir, eğitim durumu, medeni durumun ‘’evli’’ olması, parka bir defadan fazla gelmiş olma, parka gelinen mesafe, parkı ziyaretin esas amaç olması ve parkta geçirilen zaman faktörleri ile seyahat maliyeti arasında pozitif bir ilişki bulunmaktadır. Yaş, parka geliş sıklığı ve parka şahsi araçla ulaşım sağlamış olma faktörleriyle seyahat maliyeti arasında ise negatif bir ilişki tespit edilmiştir. Seyahat maliyeti analizlerinde bu faktörlerin ele alınması rekreasyon amacıyla kullanılan alanların ekonomik anlamda değerlendirilmesinde yarar sağlayacaktır. Bir ülkenin önemli doğal kaynağı olan milli parkların ekonomik olarak ta değerlendirilerek milli gelire katkı sağlaması gerçekleştirilmelidir. Bu amaçla, milli parkları turizm faaliyetleri açısından sürdürülebilir hale getirecek çalışmalar doğayı koruyarak yapılmalıdır. Bu çalışmada tespit edilen seyahat maliyetini etkileyen faktörler de dikkate alınarak ilgili birimler tarafından programlar planlanmalıdır.
Autogenous Self-Healing Assessment of 1-Year Cementitious Composites
(Springer Science and Business Media B.V., 2021) Yildirim, Gurkan; Ulugol, Huseyin; Ozturk, Oguzhan; Sahmaran, Mustafa
Traditional concrete materials are prone to cracking and as cracks form, durability issues arise which reduce the expected service life of the materials followed by structures incorporating them. This, in many occasions, may lead to repetitive repair and maintenance or even re-construction of certain structural/non-structural sections and structures. Thus, it is highly desirable to reduce the chance and/or further development of cracking. Engineered Cementitious Composites (ECC) are feasible materials to suppress cracking formation and progression through their strain-hardening response under uniaxial tensile loading conditions. Even at the stage of failure, these materials exhibit micron-size cracks which significantly improve the capability to resist against detrimental durability issues. Moreover, these microcracks are constantly reported to be closed through autogenous healing mechanisms with no external interference from outside which significantly improve the mechanical and durability performance and service life of these materials and structures incorporating them. However, the performance of autogenous self-healing in ECC is called into question, especially for late-age specimens since reactions which produce products to plug the micro-size cracks stabilize as the specimens get more and more mature. To clarify this subject, in this study, 1-year-old specimens produced from ECC mixtures incorporated with different mineral admixtures (i.e. Class-F fly ash and ground granulated blast furnace slag) were tested for their self-healing performance. For self-healing evaluation, specimens which were severely preloaded for creating microcracks, were subjected to four different curing conditions which included "Water", "Air", "CO2-water" and "CO2-air" for 90 additional days beyond initial 1 year. Tests used for self-healing assessments were electrical impedance (EI) and rapid chloride permeability (RCP). Results indicate that water is a must-have component for enhanced autogenous self-healing efficiency. "CO2-Water" curing results in the most effective self-healing performance regardless of the composition of ECC mixtures. By properly adjusting mixture proportions and curing conditions, microcracks as large as nearly half a millimeter (458 mu m) can be healed in only 30 days of further curing. Overall, results clearly suggest that late-age autogenous self-healing capability of ECC can be made as effective as the early-age with proper further environmental conditioning and mixture design.
Citation - Scopus: 1
Automatic Control of Recirculation System for Respiratory Control
(Springer International Publishing Ag, 2023) Jovanovic, Milos; Dihovicni, Djordje; Aksoy, Muharrem Hilmi
The issue of providing fresh air and technologies for its maintenance within physiologically acceptable references represents an active field of innovative engineering in the field of medicine, industry, army, space program, sports and lately and everyday life of people in cities. The problem-solving approach is generally divided into the construction of personal devices, for living in environments with reduced oxygen concentration and/or increased concentration of harmful elements that would lead to disruption of vital functions and system solutions for air recovery and ventilation in closed indoor units. Although 400 years have passed since the first technical concept, this area is still a challenge to optimize systems and devices and enable people to realize their activities in all potentially and real risk areas, in terms of maintaining respiratory function and metabolism without negative effects and increased efforts as close as possible to the stay in the natural environment for which man is prepared with his biological apparel.
Citation - Scopus: 1
Automatic Sleep Stage Classification for the Obstructive Sleep Apnea
(Trans Tech Publications Ltd, 2023) Özsen, Seral; Koca, Yasin; Tezel, Gülay Tezel; Solak, Fatma Zehra; Vatansev, Hulya; Kucukturk, Serkan
Automatic sleep scoring systems have been much more attention in the last decades. Whereas a wide variety of studies have been used in this subject area, the accuracies are still under acceptable limits to apply these methods to real-life data. One can find many high-accuracy studies in literature using a standard database but when it comes to using real data reaching such high performance is not straightforward. In this study, five distinct datasets were prepared using 124 persons including 93 unhealthy and 31 healthy persons. These datasets consist of time-, nonlinear-, welch-, discrete wavelet transform- and Hilbert-Huang transform features. By applying k-NN, Decision Trees, ANN, SVM, and Bagged Tree classifiers to these feature sets in various manners by using feature-selection highest classification accuracy was searched. The maximum classification accuracy was detected in the case of the Bagged Tree classifier as 95.06% with the use of 14 features among a total of 136 features. This accuracy is relatively high compared with the literature for a real-data application.
Citation - WoS: 5
Cfd Modelling of Industrial Air Curtains With Heating Unit
(E D P SCIENCES, 2019) Aksoy, Muharrem Hilmi; Yağmur, Sercan; Doğan, Sercan
Industrial air curtains are used to prevent air from moving from one space to another space or to environment. The most common used type is downward-facing blower fan mounted over the entrance of a building, or an opening door between two spaces conditioned at different temperatures. In many factories and industrial buildings, heating or cooling applications are difficult due to the huge doors. These huge doors cause heat loses with convection phenomena of the inside air. In this study an air curtain having heater unit is analyzed numerically by CFD. The height of the air curtain from the bottom side is vary between 2.5 m, 3 m, 4m, 5m and 6 m mounted over the entrance door of the conditioned volume. For CFD studies proper mesh structure is created on the flow domain and Shear Stress Transport (SST) k-omega models were used in Unsteady Reynolds Averaged Navier-Stokes (URANS) computations. The blowing temperature of the air curtain has adjusted to 60 degrees C with the inside temperature was aimed to kept at +7 degrees C while the outside temperature was-5 degrees C. It is found that there is less flow occurred to the environment from conditioned volume at 2.5 3, 4 and 5 meter height cases. In these cases, the air curtain also contributes the heating of the conditioned room. But some ratio of the air flows through the atmosphere and the room cannot kept at the +7 degrees C initial temperature at 6 m case. It is also found that the heating ratio at different blowing heights differs between 0,89-1,98 comparing the case without an air curtain.
A Comparative Study on Experimental and FEA-Based Simulation of Dry Sliding Wear Behavior of Boronized AISI 304 Stainless Steel at Elevated Temperatures
(Pleiades Publishing Ltd, 2025) Gok, Mustafa Sabri; Kucuk, Yilmaz; Khosravi, Farshid; Gunen, Ali; Karakas, Mustafa Serdar; Guden, Mustafa
In this study, the influence of boronizing on the high-temperature wear behavior of AISI 304 was examined experimentally and with FEA simulation. Boronizing, conducted at 950 degrees C for 3 h using the powder-pack boronizing technique, showed an approximately 7-fold increase in hardness compared to untreated sample. Boride layer characterization was performed using XRD, SEM, and EDS line analyses. Wear tests were performed at ambient temperatures of 25, 250, and 500 degrees C. While the wear rates of the untreated sample increased dramatically with increasing temperature, those of the boronized samples were significantly limited. FEA simulation using the Johnson-Cook fracture model demonstrated a high degree of consistency with the experimental wear profiles and this alignment enables reliable wear predictions. The oxide layer formation was observed on the worn surface of boronized samples during the tests at elevated temperatures, resulting in less plastic deformation.
Citation - WoS: 2
Citation - Scopus: 3
A Comparison of Improved Nature-Inspired Algorithms for Optimal Power System Operation
(ROMANIAN SOC CONTROL TECH INFORMATICS, 2018) Shehu, Gaddafi S.; Çetinkaya, Nurettin
The influencing factors associated with the efficient operation of power systems are minimum fuel cost and losses in the transmission line. Optimal Power Dispatch (OPD) problem is treated to minimize instantaneous operating cost, incremental cost, and transmission line losses considering various network operating constraint. Newly developed Nature-inspired optimization algorithms approach are proposed in this analysis with robust parameter selections. The results of most popular Genetic Algorithm (GA) and based on swarm behavior Particle Swarm Optimization (PSO) are compared with four Nature-inspired metaheuristic algorithms of Cuckoo Search (CS), Bat Algorithm (BA), Flower Pollination Algorithm (FPA), and Firefly Algorithm (FA). The quadratic cost function of power generation and penalty function to account for inequality constraints on dependent variables are added for solving OPD problem. A common algorithms evaluation parameters such as population size and generation limit are designated on an equal scale. Explicit parameters for each algorithm are tuned properly for optimal operations. The algorithms are tested on IEEE-26 and IEEE-30 system. Analysis Outcomes obtained showcase the efficiency of each algorithms parametric turning improvement.
Citation - WoS: 1
Citation - Scopus: 1
Comparison of Time-Frequency Analyzes for a Sleep Staging Application With Cnn
(Trans Tech Publications Ltd, 2022) Efe, Enes; Özşen, Seral
Sleep staging is the process of acquiring biological signals during sleep and marking them according to the stages of sleep. The procedure is performed by an experienced physician and takes more time. When this process is automated, the processing load will be reduced and the time required to identify disease will also be reduced. In this paper, 8 different transform methods for automatic sleep-staging based on convolutional neural networks (CNNs) were compared to classify sleep stages using single-channel electroencephalogram (EEG) signals. Five different labels were used to stage the sleep. These are Wake (W), NonREM-1 (N1), NonREM-2 (N2), NonREM-3 (N3), and REM (R). The classifications were done end-to-end without any hand-crafted features, ie without requiring any feature engineering. Time-Frequency components obtained by Short Time Fourier Transform, Discrete Wavelet Transform, Discrete Cosine Transform, Hilbert-Huang Transform, Discrete Gabor Transform, Fast Walsh-Hadamard Transform, Choi-Williams Distribution, and Wigner-Willie Distribution were classified with a supervised deep convolutional neural network to perform sleep staging. The discrete Cosine Transform-CNN method (DCT-CNN) showed the highest performance among the methods suggested in this paper with an F1 score of 89% and a value of 0.86 kappa. The findings of this study revealed that the transformation techniques utilized for the most accurate representation of input data are far superior to traditional approaches based on manual feature extraction, which acquires time, frequency, or nonlinear characteristics. The results of this article are expected to be useful to researchers in the development of low-cost, and easily portable devices.
Competency Analysis With a Neutrosophic Multi-Criteria Decision Making Method
(Springer Science and Business Media Deutschland GmbH, 2024) Sarucan A.; Baysal M.E.; Konukman B.
One of the most important factors in the success of any system is the monitoring and analysis of employee performance. There are many ways to conduct performance analysis. One of them is the proven method of assessing performance through 360-degree feedback. In this method, employees rate their supervisors, their peers, their managers, and themselves. For team leaders working in the regional office of a telecommunications company, a 360-degree performance assessment method was used. For competencies, one of the four main components of the performance system, 8 team leaders were interviewed. A competency score was calculated. To test the consistency of the calculated score, the Neutrosophic Analytical Hierarchy Process (N-AHP) method was proposed. In the first step of the model, a decision matrix was constructed using the data obtained from the survey method. In the second step, the relative importance weights of eight competency in the calculation of the competency score were determined. In the third step, these weights were used to determine the competency rankings of eight team leaders. This was done using the N-AHP method. The results of the two methods were compared. It was found that the Neutrosophic method used in the study produced results that were consistent with each other. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Computational Fluid Dynamics Analysis of Transient Conjugated Forced Convection in Minipipes With Time-Dependent Periodical Convection Boundary Conditions
(Begell House Inc, 2024) Havva, Demirpolat; Saim, Koçak
A computational analysis is submitted for the two-dimensional transient conjugate heat transfer problem. The periodic problem was solved under the heat flux boundary condition outside. The thick-walled pipe is assumed to have two regions. Both regions are infinite in length. Initially an isothermal condition is defined in the upstream region with hydrodynamically developed flow, and sinusoidal change in a time fluid medium is defined by the external surface of pipes in the downstream region. The convection problem with axial fluid conduction was analyzed simultaneously for fluid and solid media. Significant heat is transferred to the upstream region, which preheats the fluid. Heat transfer characteristics change periodically with outside fluid temperature, but these characteristics are the same for all axial positions at steady periodic state conditions. Net heat transfer value is zero at this period. The angular frequency and five dimensionless parameters characterize the flow regime in terms of axial and radial conduction and convection heat transfer characteristics significantly.
Coprecipitation Method for Preparing Cobalt Oxide (Co3O4) Catalyst to Efficiently Oxidize Ammonia
(Pleiades Publishing Ltd, 2025) Al-Okla, Mudar; Zeidan, Hani
In this study three samples of cobalt oxide were prepared via coprecipitation at pH 9.5 using cobalt nitrate as a precursor. They were dried at 120 degrees C before calcining at 400, 500, and 600 degrees C. The crystalline phases were determined using X-ray diffraction (XRD), revealing the presence of the Co3O4 phase in all prepared samples in varying proportions. Fourier Transform Infrared Spectroscopy (FTIR) spectra showed distinct bands corresponding to the vibrational motion of the Co-O bond, confirming the formation of cobalt oxide (Co3O4). Scanning electron microscope (SEM) analysis of the Co 500 sample revealed particles in the range of 40-350 nm (average similar to 100 nm) with relatively low agglomeration, while energy-dispersive X-ray spectroscopy (EDX) confirmed a composition consistent with stoichiometric Co3O4 (85.7 wt % Co and 13.6 wt % O). Pyridine-adsorbed FTIR spectra indicated that the sample calcined at 500 degrees C possessed the most balanced ratio of Lewis and Br empty set nsted acid sites, which correlated with its highest catalytic activity. The textural properties of all samples were analyzed using nitrogen adsorption data at 77 K, and the adsorption isotherms were found to be type IV, with hysteresis loops indicating capillary condensation in mesopores. The specific surface area reached a maximum of 4.837 m(2)/g for the sample calcined at 500 degrees C. This sample also exhibited the highest total acidity (0.035 mmol/g) and strong acidic sites (the initial electrode potential value E-i = 73.2 mV), which enhanced catalytic performance. Pore radius calculations further revealed that the samples contained mesopores. The catalytic efficiency of the prepared samples in the ammonia oxidation reaction was evaluated at 450 degrees C. The sample calcined at 500 degrees C demonstrated the highest catalytic activity. The sample calcined at 500 degrees C achieved 100% NH3 conversion at 475 degrees C and maintained full activity over 10 consecutive cycles, demonstrating high stability and reusability.
Correlation Between UAV Multispectral Imagery and Spectroradiometer Measurements in Sunflower Developmental Stages
(Univ Zulia, Facultad Agronomia, 2025) Erdogan, Alperen; Mutluoglu, Omer; Gursoy, Onder
Oilseed crops are among the product groups with a supply deficit in the world. The sunflower oil crisis experienced after 2020 ha increased the importance of sunflower cultivation. The most important stages in agricultural applications are to understand whether the plant is healthy in the early stages before it is formed and to prevent negative results in harvest. With the developing technology, the use of unmanned aerial vehicles (UAVs) and multispectral cameras in agricultural applications has gained enormous importance. Thanks to UAVs, agricultural temporal resolution can be adjusted according to the user's request, and spatial resolution can be adjusted according to the ability of the sensor used and the flight altitude. Spectral resolution is directly proportional to the number of bands and the band wavelength. We performed correlation analysis in this study by comparing the accuracy of the band values with ground measurements made with a spectroradiometer. We measured the sunflower in its vegetative, R-3, and R-5 phases and found that there was a strong correlation (r=0.894) in the green band, r=0.845 in the red, r=0.789 in the red edge (RE) band, and r=0.725 in the near infrared band (NIR). The results show a strong connection between the spectral bands and the spectroradiometer measurements, especially in the green and red bands.
Decomposed Fuzzy Analytical Hierarchy Process Method for Business Processes Management Software Selection
(Springer Science and Business Media Deutschland GmbH, 2024) Sarucan A.; Baysal M.E.; Engin O.
Software has been developed to help organizations manage their business processes. This is called Business Process Management (BPM) software. Organizations may have to make a decision whether to improve their business processes with the help of this software or to replace one software module with another software module. It is important to determine the criteria to satisfy the needs and get the opinions of the decision makers to make an efficient decision in this problem. For this purpose, Decomposed Fuzzy Analytic Hierarchy Process (DF-AHP) method is proposed in this study. The applicability of the proposed method in a financial institution is demonstrated. It was found that the module used by the organization is systematically backward. It needs to be changed. The business process life cycle of the financial institution has been evaluated in 6 main groups as criteria. These groups are Modeling, Design, Deployment, Execution & Operation, Monitoring & Control and Analysis. The business process management software identified were Activiti, Bonita, jBPM, Process Maker, uEngine, Camunda and YAWL. As a result, jBPM was selected as the best software in the Business Process Management category. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Design and Analysis of an Improved Single-Phase Quasi-Z Inverter
(Yildiz Technical Univ, 2023) Endiz, Mustafa Sacid; Akkaya, Ramazan
In recent years, the traditional power inverter systems have been replaced by the modern impedance source inverter (ZSI) circuit topology which became highly popular due to many benefits such as voltage boosting ability, reduced cost, flexibility, and, less sensitivity to electromagnetic noises. This paper presents an improved single-phase quasi-Z-source inverter (qZSI) circuit model. The input inductor of the qZSI circuit has been replaced by a switched-inductor (SL) configuration which is integrated into DC power source and impedance network. The proposed circuit can make use of the stored DC power with the help of the SL form within the shoot-through time interval. In comparison with the conventional qZSI topology, the proposed model increases the boost factor of the qZSI circuit significantly for the same shoot-through time. In addition to that, the circuit draws continuous input current and shares common ground with DC power source. The operation principle is analyzed with the help of the mathematical equations and simulations are carried out using Matlab/Simulink environment. A laboratory prototype is realized to validate the proposed circuit. Simulation and experimental results are presented to illustrate the performance of the proposed inverter topology. The presented circuit model is open to new developments and can be used for low power applications such as photovoltaic (PV) and fuel cell systems.
Citation - WoS: 1
Citation - Scopus: 1
Detection of Vortex Cavitation With the Method Adaptive Neural Fuzzy Networks in the Deep Well Pumps
(Univ Namik Kemal, 2021) Durdu, Akif; Çeltek, Seyit Alperen; Orhan, Nuri
Nowadays submersible deep well pumps are the most used irrigation systems in agriculture field. Efficient operation and economical life of pumps is an important issue. One of the most important parameters affecting pump efficiency and life is cavitation The cavitation is one of the problems frequently faced in the pump systems that widely used in the agriculture field. The cavitation could cause more undesired effects such as loss of hydraulic performance, erosion, vibration and noise. This paper presents a novel model for the detection of vortex cavitation in the deep well pump used in the agriculture system using adaptive neural fuzzy networks. The data submergence, flow rate, power consumption, pressure values, and noise values used for training the ANFIS (Adaptive-Network Based Fuzzy Inference Systems) network are acquired from an experimental pump. In this study, we use to the sixty-seven data for training process, while the fifteen data have used for testing of our model. The average percentage error (APE) has obtained as 0.08 % and as 0.34 % respectively for 67 training data and for 15 test data. The performance of the implemented model shows the advantages of ANFIS. The result of this study shows that ANFIS can be successfully used to detect vortex cavitation. This paper has two novel contributions which are the usage of noise value on cavitation detection and find out cavitation by using adaptive neural fuzzy networks. During the cavitation, the pump parameters must change by controller for prevent unwanted pump errors. The strategy proposed could be preliminary study of automatic pump control. Also proposed novel control strategy can be used for cavitation control in agriculture irrigation pumps, because of easy set up and no need extra cost. The ANFIS based model has real-time applicable thanks to rapid and easy control. It is possible to set safe boundaries in submergence in this model. Thus, users by adjusting controllable parameters can prevent cavitation and increase pump efficiency.
Citation - WoS: 1
Citation - Scopus: 1
Determination of Autogenous Self-Healing Capability of Cementitious Composites Through Non-Destructive Testing
(Springer Science and Business Media B.V., 2021) Yildirim, Gurkan; Ozturk, Oguzhan; Ulugol, Huseyin; Hatem, Muhammed; Sahmaran, Mustafa
Unlike conventional concrete and fiber reinforced concrete, Engineered Cementitious Composites (ECC) display closely spaced multiple microcracks through strain/deflection-hardening response when subjected to tension-based loadings. These multiple microcracks allow ECC to be characterized with inherent autogenous self-healing capability. With the emergence of cement-based composites exhibiting multiple tight cracking, possibility for favoring the intrinsic self-healing behavior increased. Self-healing phenomenon in cementitious composites is being studied extensively nowadays. Although, great number of tests utilized to evaluate the self-healing mechanism in cementitious composites, implementation can be time consuming in some occasions and results from different tests may not always well-suit. Thus, different from other studies in literature, direct electrical impedance (EI) measurements were used in the present study to evaluate the self-healing performance of ECC mixtures along with rapid chloride permeability test (RCPT) and resonant frequency (RF) measurements. Experimental results revealed that EI testing is rather easy to perform and takes very limited time but it seems that the method itself is markedly influenced by anything modifying ionic state of specimens. Therefore, it looks like a hard task to very accurately assess the self-healing performance of ECC specimens considering the fact that both ongoing hydration and calcium carbonate precipitation which are regarded to be the main mechanisms contributing to the autogenous self-healing significantly changes the specimens' pore solution chemistry. Well-fitting exponential relationship exists between EI and RCPT measurements at different ages regardless of the mixture and specimen type. However, results from RF tests do not correlate either with EI or RCPT results which is attributed to the different parameters having paramount influence on the individual tests. Although results from different tests do not always correlate well among themselves, three different tests used for the present study are capable of monitoring the self-healing behavior with differing efficiencies.
Citation - WoS: 1
Citation - Scopus: 3
Determination of Competencies With Fuzzy Multi-Criteria Decision Making Methods for Determining the Development Program for Analyst Position in a Participation Bank
(Springer Science and Business Media Deutschland GmbH, 2022) Yel, İbrahim; Sarucan, Ahmet; Baysal, Mehmet Emin
The management and training of human resources continues to increase in importance when considering the effects such as the increase in the demand for human resources in the field of information technologies during the pandemic process. Determining the competencies of the information technology personnel and developing the deficient ones according to the competencies can be considered as the main development policy. Based on this requirement, the problem of determining the competencies of system analysts at Kuveyt Türk Participation Bank is the main subject of this study. Within the scope of the study, a survey was conducted with the participation of 11 people with at least five years of experience in the analyst position on 24 core competencies. In line with the survey results, the importance weights of the competencies were determined with fuzzy AHP. Afterwards, 10 competencies with the highest weight among 24 core competencies were determined. Evaluations were made by five experts for system analysts working in an organization in the bank for the determined 10 competencies. Rankings of system analysts were made using Neutrosophic Z-Number sets (NZN) and Fuzzy EDAS methods. These rankings became an input to the competency development program that is planned to be prepared specifically for individuals. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Citation - Scopus: 1
Development of the Technology for Processing Plant Breeding By-Products To Obtain Biosorbent
(E D P SCIENCES, 2020) Bauer, Tatiana; Sushkova, Svetlana; Fedorenko, Aleksei; Lobzenko, Ilya; Barakhov, Anatoly; Butova, Vera; Tuşat, Ekrem
This study focuses on the potential transforming sunflower husk wastes into innovative green products to be used for the recultivation of contaminated soils. This transformation makes it possible to utilize the large quantity plant breeding by-products to obtain a highly porous biosorbent. Optimal conditions for the preparation of bisorbents can be determined based on measurements of their specific surface and porosity. It is shown that structural characteristics of sorbent depend on conditions of the pyrolysis of primary raw material. Optimal conditions for obtaining biosorbent with a specified proportion of meso- and micropores and high specific surface are performed under three-stage pyrolysis as given by following conditions: sample holding time of 10-30 min, final temperature 700 degrees C, and heating rate 15 degrees C/min. A 3-month incubation study was conducted to investigate its performance in stabilization of copper contamination in Fluvisol. The sequential extraction procedure showed that the 1% sunflower husks biosorbent treatment reduced the mobile pool (exchange and carbon-bonded fractions) of Cu from 8 to 4%, respectively, compared to the contaminated soil. Cu is found to be tightly bonded owing to the increase of the residual and organic matter-bonded metal fractions. Owing to its adsorptive properties, biosorbent amendment of copper-contaminated soils appears as a promising approach to reduce the pollutant mobility and bioavailability.

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