Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Alataş, Mevlüt(11)
- Serdar, Osman(10)
- Yildirim, Ozal(10)
- Baloglu, Ulas Baran(9)
- Sayyed, M.I.(9)
- Gul, Muhammet(8)
- Mete, Suleyman(8)
- Talo, Muhammed(8)
- Batan, Nevzat(7)
- Paksoy, Mehmet Yavuz(7)
- Camas, Mustafa(6)
- Celik, Erkan(6)
- Ezer, Tülay(6)
- Kahraman, Gökhan(6)
- Serin, Faruk(6)
- Öğütcü, Murat(6)
- Aksu, Önder(5)
- Askin, A.(5)
- Benzer, Fulya(5)
- Camas, Anil Sazak(5)
- Ince, Muharrem(5)
- Kocabaş, Mehmet(5)
- Kwain, Samuel(5)
- Kyeremeh, Kwaku(5)
- Yildirim, Numan(5)
- Yucesan, Melih(5)
- Aslan, Serpil(4)
- Aydin, Handan(4)
- Aşkın, A.(4)
- Baskonus, H.M.(4)
- Deng, Hai(4)
- Erata, Hüseyin(4)
- Erişir, Mine(4)
- Jaspars, Marcel(4)
- Onat, Onur(4)
- Taşgın, Yahya(4)
- Tetevi, Gilbert Mawuli(4)
- Acharya, U Rajendra(3)
- Acharya, U. Rajendra(3)
- Ali, Atif Mossad(3)
Yayınlar
- BildiriAçık Erişim2019Predicting Collaboration Relationships on Social Network
Aslan, Serpil; Kaya, Buket; Varol, A.; Yazici, A.; Yazici, M.A.; Varol, C.; Aygunes, G.S.; Cotur, A.
Scientific papers are mostly performed by collaboration between research groups. Researchers work in various subjects and in several research areas. Therefore, identifying a strong research group is a quite complex task. To cope with this complex task, we propose a network-based method that predicts the best appropriate collaborations for researchers in a co-authorship network. In this paper, we have constructed a weighted co-authorship network by using a real database of scientific papers. Almost all of the methods in this area use the unweighted network model. But, weighted networks are particularly important when representing the network-based properties. The constructed network consists of nodes and links which represent respectively authors and their collaborations. In these networks, if two researchers are the common authors in the same paper, they are considered connected. Typically, the link weights represent the number of papers that two authors have made collaboratively. We also use local LCP-based algorithms to calculate the betweenness and closeness of the authors in this paper. The experimental results demonstrate the success of the proposed method.
AtıfScopus3OpenAlex2
İncele - Derleme MakaleAçık Erişim2019Scopus SJRQ2ANN and ANFIS Approaches to Calculate the Heating and Cooling Degree Day Values: The Case of Provinces in Turkey
Işık, Erdem; İnallı, Mustafa; Celik, Erkan
Energy analysis plays a vital role in developing an optimum and cost-effective design for the heating, ventilating and air conditioning system of a building. The values of heating degree days (HDD) and cooling degree days (CDD) are used to analyze the demand for energy for buildings. In this study, the HDD and CDD values for Turkey were calculated using estimated temperature values. An artificial neural network (ANN) and an adaptive network-based fuzzy inference system (ANFIS) were applied for the estimation of temperature values. The Levenberg–Marquardt training algorithm was used for the feedforward backpropagation of the ANN, whereas the Sugeno-type fuzzy inference system was used for the ANFIS. Meteorological data from the last 11 years were used for the proposed approaches, and these were applied to different stations (n = 50) of the Turkish State Meteorological Service. In relation to the insulated building design, base temperatures have been considered as 16 °C and 18 °C for the HDD and 22 °C and 24 °C for the CDD based on a literature review. Two novel maps were prepared for the CDD and HDD. The calculated degree days and the maps are consistent with those from the Turkish State Meteorological Service.
AtıfScopus13WoS13OpenAlex18
İncele - MakaleAçık Erişim2019Scopus SJRQ1New insights into the chemical profiling, cytotoxicity and bioactivity of four Bunium species
Zengin, Gokhan; Paksoy, Mehmet Yavuz; Aumeeruddy, Muhammad Zakariyyah; Glamocilja, Jasmina; Sokovic, Marina; Diuzheva, Alina; Jekő, József; Cziáky, Zoltán; Rodrigues, Maria João; Custodio, Luisa
Bunium species have been reported to be used both as food and in traditional medicines. The scientific community has attempted to probe into the pharmacological and chemical profiles of this genus. Nonetheless, many species have not been investigated fully to date. In this study, we determined the phenolic components, antimicrobial, antioxidant, and enzyme inhibitory activities of aerial parts of four Bunium species (B. sayai, B. pinnatifolium, B. brachyactis and B. macrocarpum). Results showed that B. microcarpum and B. pinnatifolium were strong antioxidants as evidenced in the DPPH, ABTS, CUPRAC, and FRAP assays. B. brachyactis was the most effective metal chelator, and displayed high enzyme inhibition against cholinesterase, tyrosinase, amylase, glucosidase, and lipase. The four species showed varied antimicrobial activity against each microorganism. Overall, they showed high activity against P. mirabilis and E. coli (MIC and MBC <1 mg mL−1). B. brachyactis was more effective against Aspergillus versicolor compared to the standard drug ketoconazole. B. brachyactis was also more effective than both ketoconazole and bifonazole against Trichoderma viride. B. sayai was more effective than ketoconazole in inhibiting A. fumigatus. B. sayai was most non-toxic to HEK 293 (cellular viability = 117%) and HepG2 (cellular viability = 104%). The highest level of TPC was observed in B. pinnatifolium (35.94 mg GAE g−1) while B. microcarpum possessed the highest TFC (39.21 mg RE g−1). Seventy four compounds were detected in B. microcarpum, 70 in B. brachyactis, 66 in B. sayai, and 51 in B. pinnatifolium. Quinic acid, chlorogenic acid, pantothenic acid, esculin, isoquercitrin, rutin, apigenin, and scopoletin were present in all the four species. This study showed that the four Bunium species are good sources of biologically active compounds with pharmaceutical and nutraceutical potential.
AtıfScopus22OpenAlex23
İncele - MakaleYalnız künye2019Scopus SJRQ3Emergency department ergonomic design evaluation: A case study using fuzzy DEMATEL-focused two-stage methodology
Gul, Muhammet
Objectives: An emergency department (ED) is a unit of a hospital that is designed, staffed, and equipped to treat injured people and those afflicted with sudden and severe illness. Evaluation of ergonomic design of these departments with respect to specific criteria/standards is expected to contribute to the improvement of productivity and service quality since EDs have too much complexity and volume in the patient flow. Therefore, this paper proposes a two-stage methodology for evaluation of ED ergonomic design. Methods: The first stage provides a check-list with 137 items on six main headings to evaluate the ergonomics of ED physical design with the opinions of medical staff. The second stage offers a fuzzy-based cause and effect decision-making model for the decreased items assessed in the first stage. In this stage, a fuzzy decision-making trial and evaluation laboratory (FDEMATEL) is used since the decision-making process involves the vagueness of human judgments. Results: Considering the interdependence among items, proposed FDEMATEL reflects the causal relationships among criteria through a cause-effect relationship diagram. A case study was carried out at a training and research hospital ED in Istanbul, Turkey. Conclusion: In conclusion, several suggestions are offered that the ED needs interventions on accessibility, patient and personnel accommodations, and personnel privacy.
AtıfScopus19WoS18OpenAlex20İncele - MakaleYalnız künye2019Scopus SJRQ2The effect of hygrothermal aging and UV radiation on the low-velocity impact behavior of the glass fiber-reinforced epoxy composites
Dogan, Akar; Arman, Yusuf
The present work examines the effects of hygrothermal and UV radiation aging on the reinforced epoxy composites. The role of temperature in the hygrothermal aging process on tensile properties, impact behavior of composites and compression-after impact was investigated. Among four different chosen aging conditions, three of them were hygrothermal and last one was composed of both hygrothermal and UV radiation. Unidirectional e-glass fiber fabrics with an areal density 300 g/m2 as reinforcement and epoxy matrix were used. Composites were manufactured using vacuum-assisted resin infusion molding. The goal of this study was to investigate the effect of UV radiation and aging temperature with respect to the glass transition temperature. In this context, aging procedures were carried out in two different ways for 70 °C temperature with and without UV radiation. As a result of the test, the tensile strength, tensile modulus, absorbed energy, interlaminar shear strength (ILSS), and compression-after impact (CAI) strength of the glass reinforced composites decreased for all conditions. Despite being under the same ambient temperature and humidity, the samples which were exposed to UV radiation had lower mechanical properties. The reduction of tensile strength of specimens exposed to 70 °C and 70% humidity with and without UV radiation were 24% and 10%, respectively. The temperature of hygrothermal conditions significantly affected the perforation threshold. In low impact energies, delamination was the primary damage mode, while fiber breakage becomes more important in the composite at high impact energy levels.
AtıfScopus48WoS43OpenAlex48İncele - MakaleAçık Erişim2019Scopus SJRQ1Influence of ultrasound and osmotic dehydration pretreatments on drying and quality properties of persimmon fruit
Bozkir, Hamza; Rayman Ergün, Ahsen; Serdar, Emine; Metin, Gülhan; Baysal, Taner
In this study, the effect of the ultrasound and osmotic dehydration pretreatments before the convective drying of the persimmon fruit was assessed via their drying behavior and quality properties. Ultrasound-assisted osmotic dehydration (30 °C, 45 °Brix) was performed at 35 kHz for 10, 20, and 30 min. Afterward, samples were placed first in 45 then in 70 °Brix sucrose solutions; the solutions were next shaken at 100 rpm. The control group without ultrasound treatment dehydrated osmotically. The samples were dried in a tray drier at a temperature of 60 °C and an air velocity of 1.5 m/s. Ultrasound-assisted osmotic drying treatments increased water loss and sugar gain; moreover, the osmotic dehydration time was shorter than in the untreated group. The ultrasound-assisted osmotic dehydration demonstrated a significantly decreased drying time, increased drying rates, and a 21% increase in effective water diffusivity by 30 min. The ultrasound pretreated osmotic dehydration prior to hot air-drying decreased the total required drying time. The ultrasound-assisted osmotic dehydration affected the rehydration rate and total phenolic content significantly and there was no significant difference between the color change (ΔE, ΔC, and Hue°) of the ultrasound treatment (30 min) group and the untreated group.
AtıfScopus181WoS148OpenAlex178İncele - MakaleAçık Erişim2019Scopus SJRQ3Study of validity, reliability in accordance with Turkey conditions in ego functions assessment scale
Durmaz, Yadigar Çevik; Ünsal, Gül
Purpose: The aim of the study is to conduct a reliability and validity study of the Ego Function Assessment (EFA) scale. Design and Methods: The study was conducted with a total of 426 participants, which included 213 patients with schizophrenia and a control group of 213 normal individuals. The Individual Information Form, EFA Scale, Wonderlic Personnel Test, Adjective Check List, and Symptom Check List were used for data collection. Finding: All the statistical procedures performed in the validity and reliability stages of the study show that the scale is a valid, reliable measurement tool for the Turkish culture. Practice Implications: In psychiatric nursing, the use of the EFA scale can be recommended for planning individual patient care, which involves the assessment of a patient's functional adjustment on the basis of their own ego profile.
AtıfScopus4WoS4OpenAlex4İncele - MakaleAçık Erişim2019Scopus SJRQ3On the new wave behavior to the Klein–Gordon–Zakharov equations in plasma physics
Baskonus, H.M.; Sulaiman, T.A.; Bulut, H.
In this study, the extended sinh-Gordon equation expansion method is used in constructing various exact solitary wave solutions to the Klein–Gordon–Zakharov equations. The Klein–Gordon–Zakharov equations is a nonlinear model describing the interaction between the Langmuir wave and the ion acoustic wave in a high-frequency plasma. We successfully construct some topological, non-topological, compound topological and non-topological, singular, compound singular solitons and singular periodic wave solutions. Under the choice of suitable values of the parameters, the 2D, 3D and contour graphs to some of the reported solutions are also plotted.
AtıfScopus61WoS58OpenAlex67İncele - MakaleYalnız künye2019Scopus SJRQ2Biosynthesis of gold nanoparticles using marine bacteria and Box–Behnken design optimization
Camas, Mustafa; Celik, Fatih; Sazak Camas, Anil; Ozalp, Hasan Baris
Gold nanoparticles are exciting materials because of their potential applications in optics, electronics, biomedical, and pharmaceutical fields. In recent years, environmentally friendly, low-cost biosynthesis methods with bio-applicable features have continued to be developed for the synthesis of gold nanoparticles. In the present study, an actinobacterial strain was isolated from the Petrosia ficiformis (Poiret 1798) sponge, which was collected from a marine environment, and the gold nanoparticle synthesis was performed for the first time from the bacteria type belonging to the Citricoccus genus. The synthesis conditions were optimized using the Box–Behnken experimental design, with a statistical method that included three independent variables (temperature, time, and mixture ratio) to affect the synthesis at three levels (+1, 0, and −1). Accordingly, the conditions proposed for the biosynthesis of gold nanoparticles at the maximum optical density values that are specific for the Citricoccus sp. K1D109 strain were estimated as 35°C temperature, 24 h, and 1/5 mixture ratio (cell-free extract/HAuCl4 · 3H2O). When recommended conditions were applied, it was determined that the maximum absorbance of the synthesized gold nanoparticles is 1.258 at 545 nm, and their sizes are in the range of 25–65 nm, according to transmission electron microscopy (TEM) data.
AtıfScopus33WoS30OpenAlex34İncele - MakaleAçık Erişim2019Scopus SJRQ2Geochemistry of the post-collisional Miocene mafic Tunceli Volcanics, Eastern Turkey: Implications for the nature of the mantle source and melting systematics
Aktağ, Alican; Önal, Ayten Öztüfekçi; Sayit, Kaan
The East Anatolian Accretionary Complex (EAAC) comprises an ideal example of post-collisional volcanism within the Africa-Eurasia collision zone. The Miocene mafic Tunceli Volcanics, as a part of this post-collisional volcanic system, are located in the western termination of EAAC. The mafic Tunceli Volcanics are characterized by mildly alkaline and tholeiitic basalts, in which olivine, clinopyroxene and plagioclase characterize the main mineralogy. The role of fractional crystallization (FC) and assimilation combined with fractional crystallization (AFC) processes appear to be negligible in the petrogenesis of the primitive mafic Tunceli Volcanics. Relative enrichment in large ion lithophile elements (LILE), Th and La over high field strength elements (HFSE) and heavy rare earth elements (HREE) suggest contribution from a metasomatized mantle source. The wide range of ratios displayed by these elements also calls for some asthenospheric input for the genesis of these volcanics. The metasomatizing agents can be attributed to a past subduction event, probably during the closure of Neotethys. Considering also the geophysical constraints, which limits the lithospheric thickness to about 70–75 km around the region, a melt mixing between lithospheric and asthenospheric melts generated at different depths appear to be an important process in the petrogenesis of these lavas. The combined geochemical and geophysical data, therefore, necessitate a geodynamic model with some remnant lithospheric mantle underlying the Eastern Anatolian region.
AtıfScopus10WoS11OpenAlex13İncele - MakaleYalnız künye2019Scopus SJRQ2Phanerochaete chrysosporium as a model organism to assess the toxicity of municipal landfill leachate from Elazığ, Turkey
Yildirim, Numan; Yildirim, Nuran Cikcikoglu; Tatar, Sule; Alp, Hevidar
In order to evaluate the potential ecological risk and the toxic effect of landfill leachate (LL), Phanerochaete chrysosporium was exposed to LL and their biochemical response was observed by using antioxidant parameters. Phanerochaete chrysosporium, ME 446, was kept at 4 °C after being sub-cultured at 28 °C on Sabouraud Dextrose Agar (SDA). Superoxide dismutase (SOD), catalase (CAT) activities, and malaondialdehyde (MDA) and glutathione (GSH) levels of P. chrysosporium exposed to different dilution rates of leachate (1/10 and 1/20) for 24 and 96 h were analyzed by using the ELISA method. The physiochemical parameters such as pH, conductivity, total dissolved solids (TDS), dissolved oxygen (DO), chemical oxygen demand (COD) of leachate, and reference water were analyzed by using the YSI Professional Plus handheld multiparameter meter. In this study, SOD activities were decreased in the application groups compared with the Control Group at the 24th and 96th hours. CAT activities and GSH levels increased in the application groups compared with the Control Group at the 24th hour but decreased at the 96th hours. MDA levels increased in all of the application groups when compared with the Control Group for both 24 and 96 h. Different concentration of LL induces oxidative stress in P. chrysosporium, increased CAT activity and MDA levels, and decreased SOD activity and GSH levels.
AtıfScopus7WoS5OpenAlex6İncele - MakaleAçık Erişim2019Scopus SJRQ3Artificial Neural Networks (a new statistical approach) method in length-weight relationships of Alburnus Mossulensis in Murat River (Palu-Elaziğ) Turkey
Ozcan, E.I.
Artificial Neural Networks (ANNs) is a reliable and alternative method used specially in the growth characteristics of some fish species. The purpose of this work was to compare with length-weight relationships and Artificial Neural Networks, the length-weight relation of 415 (232 female and 183 male) Alburnus mossulensis captured from Murat River between January 2018 and December 2018. The total length and the weight of the fish changed between 7.2-19.9 cm (12.81±0.095) and 3.24-40.6 g (13.51±0.30) respectively. The length-weight relationships were determined for females, males and all individuals as W=0.0097L2.812 (R2=0.95), W=0.0168L2.599 (R2=0.95) and W=0.0130L2.701 (R2=0.95), respectively. The growth type of A. mossulensis was negative allometric growth for female, male and all individuals. Regression analysis showed that length has high significantly correlation with weight (R = 0.97, R2 = 0.95, F1,413 = 79550.3, P <0.001) and 95% remain in weight was due to length remain. t-test results was used for the importance condition of the regression coefficients (t=89.193, P<0.01). Length-length relations were highly significant with R2 values greater than 0.97. The condition factor values were ranged between 0.430 and 0.975 for all individuals. According to the comparison of the results obtained with MAPE (%), ANNs provided better results than the LWRs. With this study, it can be seen that ANNs can be used as an alternative useful method for population parameters prediction.
AtıfScopus7WoS9OpenAlex6İncele - MakaleYalnız künye2019Scopus SJRQ2A comprehensive study about Hibiscus sabdariffa leaves: antioxidant activity, polyphenol profile and macro- and micro-element content
Karaaslan, Nagihan M.
Hibiscus sabdariffa leaves are generally consumed by people in cold drinks and herbal tea. The purpose of this study is to examine in terms of antioxidant activity, polyphenol profile and macro- and micro-element content of H. sabdariffa leaves. Firstly, antioxidant activity studies were carried out by applying antioxidant activity assays to different extracts of the plant leaves. It has been observed that the antioxidant activity results vary depending on the extraction solvent and that the result obtained for one extract in some tests could not be obtained for the same extract in the other tests when solvents are changed. Secondly, the polyphenol profile of this plant was identified with a high-performance liquid chromatography–diode array detector (HPLC–DAD). For this purpose, thirteen polyphenols were examined in leaves of this plant, but only caffeic acid, chlorogenic acid, ellagic acid, p-coumaric acid and quercetin were detected among the studied polyphenols. Finally, macro-element including calcium (Ca), potassium (K), magnesium (Mg), sodium (Na) and micro-element including copper (Cu), iron (Fe), zinc (Zn) analysis was carried out using flame atomic absorption spectrometry (FAAS).
AtıfScopus9WoS8OpenAlex10İncele - BildiriAçık Erişim2019Bigailab-4race-50K: Race Classification with a New Benchmark Dataset
Talo, Muhammed; Ay, Betul; Makinist, Semiha; Aydin, Galip
Face analysis is the process of extracting useful information such as gender, age and race from a face image. In this study, we look at ways of closing the gap between the capabilities of automatic facial recognition and race classification methods. For this purpose, we take the following two steps. (1) We offer a public race dataset consisting of labeled images to overcome the challenges of real-world race estimation tasks. (2) We present a benchmark study to find race of a human face using a pre-trained Convolutional Neural Network (CNN) model on the large-scale face dataset. We are able to achieve a remarkable accuracy of 97.6% in race classification task.
AtıfScopus3OpenAlex5İncele - MakaleYalnız künye2019Scopus SJRQ3New singular soliton solutions to the longitudinal wave equation in a magneto-electro-elastic circular rod with M-derivative
Baskonus, H.M.; Gómez-Aguilar, J.F.
In this paper, using the Bernoulli sub-equation function method, we obtain new dark, complex and singular soliton solutions for the longitudinal wave equation in a magneto-electro-elastic circular rod with M-derivative. Many new complex singular soliton solutions are successfully extracted. For better understanding of physical meanings, we plotted 2D and 3D graphs along with contour simulations.
AtıfScopus57WoS54OpenAlex63İncele - MakaleAçık Erişim2019Scopus SJRQ3Antifungal and antibacterial effect of dodder (Cuscuta campestris) used for hepatitis treatment of mothers and newborn infants in Province Mardin in Turkey; [Türkiye'de Mardin ilindeki annelerin ve yenidoğan bebeklerin sarılık tedavisinde kullanılan küsküt'ün (Cuscuta campestris) antifungal ve antibakteriyel etkileri]
Erecevit Sönmez, Pınar; Kirbağ, Sevda; İnci, Şule
Dodder is a plant used for the hepatitis treatment in new born infants in and around Mardin. The aim of this research to determine the antifungal and antibacterial effects of traditionally used dooder is known as a regional folk remedy. Thus and so, the efficacy of the drug has been demonstrated by the inclusion of natural therapeutic antimicrobial agents such as anti-inflammatory and wound healing, including infectious diseases. The antimicrobial effects of these plant was analyzed against bacteria, yeast and dermatopyta fungi by the agar disc diffusion method. The nominal concentration of the plant to prevent from the development of microorganisms was detected with the broth microdulitions method. It was determined that it had sensitive and moderately sensitive antimicrobial effect against all of microrganisms (13-19.66 mm/inhibition zone), growth of tested microrganisms were inhibited at 50-6.25 µL.It is though that this natural herbal resource can light the way for treatment of several diseases and direct the next studies because of having the potential for being used as a new antimicrobial agent.
AtıfScopus7OpenAlex8TR Dizin5
İncele - MakaleAçık Erişim2019Scopus SJRQ1Convolutional neural networks for multi-class brain disease detection using MRI images
Talo, Muhammed; Yildirim, Ozal; Baloglu, Ulas Baran; Aydin, Galip; Acharya, U Rajendra
The brain disorders may cause loss of some critical functions such as thinking, speech, and movement. So, the early detection of brain diseases may help to get the timely best treatment. One of the conventional methods used to diagnose these disorders is the magnetic resonance imaging (MRI) technique. Manual diagnosis of brain abnormalities is time-consuming and difficult to perceive the minute changes in the MRI images, especially in the early stages of abnormalities. Proper selection of the features and classifiers to obtain the highest performance is a challenging task. Hence, deep learning models have been widely used for medical image analysis over the past few years. In this study, we have employed the AlexNet, Vgg-16, ResNet-18, ResNet-34, and ResNet-50 pre-trained models to automatically classify MR images in to normal, cerebrovascular, neoplastic, degenerative, and inflammatory diseases classes. We have also compared their classification performance with pre-trained models, which are the state-of-art architectures. We have obtained the best classification accuracy of 95.23% ± 0.6 with the ResNet-50 model among the five pre-trained models. Our model is ready to be tested with huge MRI images of brain abnormalities. The outcome of the model will also help the clinicians to validate their findings after manual reading of the MRI images.
AtıfScopus276OpenAlex301İncele - MakaleAçık Erişim2019Scopus SJRQ2Classification of multiple power quality events via compressed deep learning
Liu, Hui; Hussain, Fida; Yue, Shen; Yildirim, Ozal; Yawar, Sheikh Junaid
This paper presents a recently established compressed sensing (CS) and sparse autoencoder (SAE) based on deep learning (DL) method for classification of single and multiple power quality disturbances (PQDs). The CS technique is paying considerable attention in recent years due to below sampling rate comparatively Nyquist sampling. Initially, the CS technique is applied to extract the features of PQD waveforms. The extracted features are applied as inputs to the sparse autoencoder based on DL for classification of nine single and 22 combined classes of PQDs. The DL helps to remove a redundant feature and improves classification performance. Finally, backpropagation is applied to fine-tune the entire network. The effectiveness of the proposed algorithm has been tested with more than 6580 numbers of real and synthetic single and multiple PQD data, and the results are recorded. High correct classification rate is obtained with noise and without noise level. Noise level was considered from 20 to 50 dB. The performance of the proposed technique has been assessed by comparing the results against recently reported methods. Results show that the proposed CS- and SAE-based DL algorithms can be efficiently used for single and multiple PQDs classifications.
AtıfScopus28OpenAlex28İncele - MakaleAçık Erişim2019Scopus SJRQ3Fuzzy-logic-based robust speed control of switched reluctance motor for low and high speeds
Omaç, Zeki
Switched reluctance motor (SRM) is operated at high magnetic saturation to generate large torque. The flux linkage of SRM is a nonlinear function with phase current and rotor position because of the high magnetic saturation. Also, the performance of the speed controller for the SRM driver system can be negatively affected by noise, disturbances, and inertia of load torque. Therefore, the fuzzy speed controller for the SRM driver system was developed in this study. In addition, a dynamic model of SRM was simulated in Matlab/Simulink software. Based on the results obtained in this study, the speed of the SRM was controlled over a wide range of speeds including low and high speeds by the fuzzy speed controller. Furthermore, in simulation, the rotor speed was simulated depending on the reference speed. Moreover, the speed of the SRM was experimentally tested using the DS1103 Ace kit. Finally, simulation results were compared with experimental results and they were found to be consistent with each other.
AtıfScopus10WoS5OpenAlex9TR Dizin3İncele - MakaleYalnız künye2019Scopus SJRQ3Assessment of the mass attenuation coefficients of granite, basalt, andesite and tuff stones with the Geant4 model of a high-purity germanium detector
Aşkin, A.; Dal, M.
In this work, the radiation shielding properties of various natural stones, such as granite, basalt, andesite and tuff, were determined by using Monte-Carlo simulations performed with the Geant4 model of a high-purity germanium (HPGe) detector. Mass attenuation coefficients were calculated for γ-ray energies of 80.9, 140.5, 356.5, 661.6, 1173.2 and 1332.5 keV and for the sample thicknesses between 1 and 7 cm. The results of this study indicate that the stone samples have lower mass attenuation values varying in the range from - 28.8 % to - 3.7 % compared to lead. Among the measured stone samples, the mass attenuation values of tuff stone are closest to lead (above 661.6 keV).
AtıfScopus7WoS6OpenAlex8İncele