Teknik Bilimler Meslek Yüksekokulu Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.13091/1629

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Citation - WoS: 12
Citation - Scopus: 17
Acoustic-Driven Airflow Flame Extinguishing System Design and Analysis of Capabilities of Low Frequency in Different Fuels
(Springer, 2022) Taşpınar, Yavuz Selim; Köklü, Murat; Altın, Mustafa
Traditional fire extinguishing methods can harm people and nature. For this purpose, in this study, no harmful acoustic-driven airflow fire extinguishing system was developed and experiments were carried out to extinguish gasoline, kerosene, thinner (synthetic thinner) liquid fuels and liquid petroleum gas (LPG) flames. 17,442 extinguishing experiments were conducted in 5 different flame sizes, 54 different frequencies and 10 cm to 190 cm distance range. The data obtained were analyzed using the polynomial regression method. For liquid fuels, the frequencies of 10 Hz to 50 Hz at a distance of 10 cm to 100 cm, 10 Hz to 32 Hz at a distance of 100 cm to 150 cm, and 10 Hz to 28 Hz at a distance of 150 cm to 180 cm are effective extinguishing ranges. LPG fuel, 10 Hz to 45 Hz at a distance of 10 cm to 140 cm, frequencies of 15 Hz to 30 Hz at a distance of 140 cm to 180 cm are effective extinguishing ranges. In addition, caused by the compression of the woofers membrane inside the collimator and the injected airflow at frequency of 30 Hz reduced the 12 cm diameter metal plate from 86.2 degrees C to 18.8 degrees C in 5 min, and the metal plate left to cool down from 80 degrees C to 21.7 degrees C in 10 min at a distance of 100 cm. The average Mean Square Error value obtained as a result of polynomial regression analysis is 0.9544, and the Root Mean Square Error value is 1.2020.
Citation - WoS: 27
Citation - Scopus: 34
Analysis of Effect Factors on Thermoelectric Generator Using Taguchi Method
(ELSEVIER SCI LTD, 2020) Terzioğlu, Hakan
Due to technological developments in recent years, the need for domestic and industrial electric power is increasing day by day. Alternative energy resources have become more important to reduce production costs by converting waste energy into electricity. In this study, a research was carried out to increase the efficiency and on the factors which were effective in Thermoelectric Generators (TEG) used in the production of electrical energy by using thermal sources from alternative energy sources. In this study, the effects of heat transfer performance of the materials (copper, aluminum and brass) on which thermal water is carried, and the effects of water pressure and velocity on the performance of TEGs were investigated. Taguchi method was used to determine the performance effects in the most accurate way. Taguchi method used three levels with three factors: material (copper, aluminum and brass), engine speed (I, II and III) and water pressure (1-2.5-3.5 bar). In addition, in the Taguchi method, the orthogonal array was used and the optimum operation time was significantly reduced. In this study, TEG1-12706 and TEG1-12710 were performed in 2 different TEGs. 27 experiments were carried out for each TEG under different materials, speed and pressure of water with the experiment set up in this study. When the test results were analyzed by Taguchi method, it was determined that the material was the most important factor in determining the output power and efficiency in the production of electrical energy by using TEG (approx. 89%) and it was seen that the pressure and engine speed had almost no role. (C) 2019 Published by Elsevier Ltd.
Analysis of the Studies Done on Laboratories in Turkey
(2020) Yener Dündar; Köklü, Niğmet; Yamaç Ramazan Ziya; Yalçın Seher
The aim of this study is to determine the trend of studies in the laboratory and put the current situation in Turkey. For this purpose, document analysis technique, one of the qualitative research methods, was used in the research. The data group of the research consists of thesis studies on laboratories in our country between 1999-2017. Theses in the fields of science, physics, chemistry, and biology have been determined and themes and sub-themes have been created through the keywords of these theses. Then, frequency tables were created according to the themes and sub-themes created. According to the findings obtained, it was seen that the traditional laboratory approach and inquiry-based laboratory approaches are compared in the studies. It was determined that the studies were done on physics subjects and it was determined that complementary measurement and evaluation studies performed for performance evaluation were used in very fewnumbers. In addition, it was concluded that the keywords did not give enough information about the studies. In this context, it can be suggested to examine the effectiveness of these approaches according to each other and experiment types by examining theapproaches in which students can be more active in laboratories.
Citation - Scopus: 3
Anti-Colorectal Cancer Effects of Medicinal Plants: Euphorbia Helioscopia, Ferula Elaeochytris, and Sideritis Albiflora
(2021) Deveci, Ebru; Çayan, Gülsen Tel; Karakurt, Serdar; Duru, Mehmet Emin
Phytochemicals, extracts, and mixtures obtained from plants have been offered as an option for cancer treatment and prevention for modern drug discovery in recent years. For this purpose, in this study, anti-colorectal cancer effects of the hexane, acetone, methanol, and water extracts obtained by sequential extraction from Euphorbia helioscopia L., Ferula elaeochytris Korovin, and Sideritis albiflora Hub.-Mor. on DLD-1 cell line were investigated in vitro by using Alamar blue assay. Dosedependent inhibition was detected in the viability of DLD-1 cell line. In all three plants species, E. helioscopia (IC50: 140.83±0.31 µg/mL), F. elaeochytris (IC50: 67.93±0.12 µg/mL), and S. albiflora (IC50: 85.12±0.10 µg/mL) methanol extracts showed higher anti-colorectal effects on DLD-1 cell line compared to other extracts tested for the same species. In addition, the IC50 value of doxorubicin used as a standard was found as 6.10±0.55 µg/mL. With the results obtained, as the first report highlighting in vitro anti-colorectal cancer effects of the studied plant species on DLD-1 cell line, promising marks were obtained from the analysis of the extracts as anti-cancer sources for plant-derived drug applications.
Citation - Scopus: 11
Antioxidant, Cytotoxic, and Enzyme Inhibitory Activities of Agropyron Repens and Crataegus Monogyna Species
(2020) Deveci, Ebru; Çayan, Gülşen Tel; Karakurt, Serdar; Duru, Mehmet Emin
Objective: The aim of this study was to investigate antioxidant, enzyme inhibitory and cytotoxic activities of Agropyron repens and Crataegus monogyna methanol extracts with total phenolic and flavonoid contents. Materials and Methods: Total phenolic and flavonoid contents of A. repens and C. monogyna methanol extracts were measured according to Folin Ciocalteu and aluminum nitrate methods, respectively. Antioxidant and enzyme inhibitory activities of the methanol extracts were tested spectrophotometrically. Also, cytotoxic activities of the methanol extracts against DLD-1 and CCD-18Co were investigated by using Alamar Blue assay. Results: C. monogyna methanol extract with the highest total phenolic and flavonoid contents (68.13±0.34 µg GAEs/mg extract and 36.91±0.17 µg QEs/mg extract, respectively) had the best antioxidant activity in ?-carotene-linoleic acid ($IC_50$: 32.72±0.15 µg/mL), CUPRAC ($A_0.50$: 282.69±0.25 µg/mL), DPPH• ($IC_50$: 71.69±0.85 µg/mL), and ABTS•+ ($IC_50$: 40.43±0.55 µg/ mL) assays. A. repens methanol extract showed the highest effect against AChE (18.73±0.47 %), BChE (37.59±1.07 %), urease (89.18±0.84%), ?-glucosidase (6.71±0.23 %), whereas C. monogyna methanol extract showed the highest effect against tyrosinase (30.52±1.00%) and ?-amylase (37.24±0.06 %). Also, A. repens ($IC_50$: 57.38 µg/mL) and C. monogyna ($IC_50$: 54.04 µg/ mL) methanol extracts showed close cytotoxic activity on DLD-1. Conclusion: Antioxidant, cytotoxic, and enzyme inhibitory activities of A. repens and C. monogyna methanol extracts were investigated with total phenolic and flavonoid contents in this study. The results obtained with this study strengthen the potential of the studied plants as a new source for the discovery of antioxidant, cytotoxic, and enzyme inhibitor agents.
Ball Throwing Machine Design To Develop Footballers’ Technical Attributes
(2021) Arslan, Cemile; Arslan, Mustafa; Yalçın, Gökhan; Kaplan, Turgut; Kahramanlı, Humar
For a football player to perform well in football, it is necessary to improve his technical and tactical skills. Improving these skills is enabled with the repetition of the same positions that the football player has the ball. The repetitions of these same positions can be performed with the aid of a machine. In this study, a football throwing machine design that can provide direction and velocity for the ball in a repeatable and controllable manner is generated for full educational evaluation. Ball loading canister on the ball throwing machine enabled to use of many balls. There are a couple of ball throwing wheels both are made of polyurethane material and have a concave surface. These wheels are mounted on a body for axial rotation on common ground. Each wheel’s rotation speed can be adjusted individually. To determine the horizontal-vertical direction of movement of the ball, two linear actuators are used. Ball’s velocity, direction, orbit, and throwing laps are controlled electronically. All controls concerning ball throwing are carried out via Delta PLC (Programmable Logic Controller) and HMI (Human Machine Interface) panel. A user interface is developed for controls made via PLC. Owing to the interface, different training plans are designed by handler or trainer via operator panel, and footballer is provided to train in various densities. To prevent toppling tripod system, and to carry easily a towing arm is used. The machine can work with an accumulator or feed directly from the grid circuit.
Carbon Dots Applications in Electrochemical and Electrochemiluminescence Sensors: Some Examples of Pathogen Sensors
(2020) Dinç Saliha; Günhan
The ongoing worldwide pandemic of the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has revealed that simple, fast, low-cost, reliable, and portable sensor systems should be developed immediately. Electrochemical and electrochemiluminescence (ECL) based pathogen sensors are promising alternatives to conventional methods due to several advantages including in situ and fast response time, high sensitivity, low cost, being portable, easy-to-operate and simple to construct using different receptors including, antibody, enzyme, DNA, aptamer, etc. Carbon dots/graphene quantum dots have been used as labels, electrode material, ECL luminophores, electrode modification materials, amplifier, reaction catalysts to increase sensitivity and selectivity of electrochemical and ECL sensors. In this mini-review, the latest applications of carbon dots in electrochemical and ECL based sensors are summarized and some examples of pathogen sensors are given.
Citation - WoS: 7
Citation - Scopus: 6
Characteristics and Evolution of the Etili Silica Sinter Epithermal Deposits, Canakkale - Turkey: Relation To Alkali Chloride Vs Acid-Sulfate Fluids
(Elsevier, 2022) Ercan, Hatice Ünal; Ece, O. Işık; Schroeder, Paul A.; Gülmez, Fatma
The Oligo-Miocene Etili epithermal deposits are a well-preserved fossil geothermal system in the Canakkale Region and is one of the largest fossil siliceous hot spring deposits of Turkey. Main E-W and NE-SW trending faults systems occur with minor NW-SE fracture systems perpendicular to the main faults. Silica-rich deposits are commonly observed in or on the calc-alkaline tuffs, ashes and pyroclastic rocks that were the products of the magmatism controlled by the extensional tectonic regime. The Etili epithermal system was examined at two representative locations including the Hamamtepe and Muratlar sites. Morphologies of the proximal apron were defined by lithofacies that included silica infiltrate, spring conduits, nodular and finely laminated geyserite, sinter clast breccia, silicified volcanic rocks, and epithermal veins. Microfossils were detected in mat structures developed in the proximal apron. The silica deposits have low abundances of altered mineral assemblages (e.g., kaolinite, halloysite, and alunite), which are otherwise commonly observed in the region. The origin of the Etili Fossil Silica Sinter Region (EFSSR) was constrained by using geochemical and isotopic data. delta O-18 and dD isotopic values of kaolinites ranged +9.4/+9.6 parts per thousand; to 84/74 parts per thousand respectively. delta O-18 isotopic values from siliceous and silicified samples ranged from 8.3 to 18.4 parts per thousand, which shows two different formation types for the Etili Fossil Silica Sinter Region. We hypothesized hypogene origins for the kaolins and a mixed hypo/supergene origin for siliceous and silicified samples. The calculated model formation temperature from the delta O-18 values of the silica and siliceous samples is in the range of 63 degrees to 140 degrees C. delta S-34 isotopic values of alunite ranged from -19.6 to +16.6 parts per thousand, which also indicated two different sources that include magmatic hydrothermal and meteoric waters affected by bacterial activity. The timing of acid-sulphate alteration can be grouped into three periods by Ar-40/Ar-39 dating of alunites. These ages are: (A) 32.4 +/- 1.2 to 22.6 +/- 0.22 Ma in the Muratlar silica site, (B) 12.3 +/- 0.3 to 15.2 +/- 0.3 Ma in the northern part of the Hamamtepe site and (C) 5 +/- 0.18 to 7 +/- 0.3 Ma in the southern part of the Hamamtepe silica site. These consistent findings show that the emplacement periods of the Evciler pluton and the ages of alteration deposits are similar to each other. Silica sinters and geyser mounds represent very late stage near-neutral pH alkali chloride geothermal activities. The epithermal deposits in the EFSSR comprises a complex history of three different hydrothermal processes, each of which have different compositional and temporal emplacement periods related to the Evciler pluton.
Citation - Scopus: 6
Chemical Composition, in Vitro Antimicrobial and Antioxidant Activities of Marine Macroalgae Codium Fragile (suringar) Hariot
(2022) Keskinkaya, Hatice Banu; Güneş, Erdoğan; Okudan, Emine Şükran; Akköz, Cengiz; Gümüş, Numan Emre; Karakurt, Serdar; Deveci, Ebru
Marine algae, which are the primary producers living in aquatic areas, are the subject of many studies due to their importance as they are eukaryotic and eutrophic organisms that play a crucial role in the pharmaceutical, cosmetic, food, fuel, and textile industries. Macroalgae are known in producing several macronutrients, micronutrients, and other important biologically active compounds (e.g. polyphenols, enzymes, and antibiotics) with potential pharmacological uses. In this research, we aimed to investigate the chemical composition, antimicrobial and antioxidant activities (with three assays), total phenolic (TPC) and flavonoid (TFC) contents of the methanol, ethanol, acetone, and water extracts of Codium fragile (Suringar) Hariot. The LC-ESI-MS/MS assessment allowed the identification of seven compounds containing gallic acid, 4-hydroxybenzaldehyde, 4-hidroxybenzoic acid, p-coumaric acid, salicylic acid, biochanin A, and diosgenin. TPC and TFC of the extracts were calculated as in the range of 10.34±0.13-64.67±0.02 µg GAEs/mg extract and 12.73±2.68-36.78±1.08 µg QEs/mg extract, respectively. All extracts of C. fragile showed antimicrobial activity against all test pathogens at different levels. The methanol, ethanol, and acetone extracts showed different levels of activity against gram-negative and gram-positive bacteria (MIC: 3.125-1.562 mg/mL). The water extract showed the highest activity in ABTS•+ (70.43±14.85%) and DPPH• (72.61±11.44%) assays while the acetone extract exhibited the best activity in CUPRAC (absorbance: 0.60±0.15) assay. The results we obtained approved that C. fragile could be valued as a natural source of bioactive agents for food preservatives and in other industrial and pharmaceutical fields.
Classification of Environmental Attitudes With Artificial Intelligence Algorithms
(2024) Köklü, Niğmet; Sulak Süleyman Alpaslan
The study aims to examine people's attitudes towards the environment. Environmental education provides the necessary awareness to effectively address environmental issues. It is stated that attitudes towards the environment are very important and negative attitudes can worsen environmental problems. For this purpose, a dataset was obtained by using a scale consisting of 37 variables to a participant group consisting of 384 people. With this dataset, attitudes towards the environment have been analyzed usingvarious classification algorithms. Logistic Regression (LR), Support Vector Machine (SVM) and Decision Tree (DT) models were used in the research. The LR, SVM, and DT models achieved 94.53%, 92.96%, and 82.55% classification success, respectively It is seen that the classification achievements of the models are at an acceptable level compared to the literature. As a result, the research sheds light on people's attitudes towards the environment through classification processes. Despite the acceptable classification achievements, alternative artificial Intelligence approaches can also be used to improve performance.
Citation - WoS: 20
Citation - Scopus: 29
Classification of Flame Extinction Based on Acoustic Oscillations Using Artificial Intelligence Methods
(ELSEVIER, 2021) Taşpınar, Yavuz Selim; Köklü, Murat; Altın, Mustafa
Fire, one of the most serious disasters threatening human life, is a chemical event that can destroy forests, buildings, and machinery within minutes. For this reason, there have been numerous methods developed to extinguish the fire. Within the scope of this study, a sound wave flame extinction system was developed in order to extinguish the flames at an early stage of the fire. The data used in the study were obtained as a result of experiments conducted with the developed system. The created dataset consists of data obtained from 17,442 experiments. It is aimed to classify the fuel type, flame size, decibel, frequency, airflow and distance features, and the extinction-non-extinction status of the flame through rule-based machine learning methods. In the study, rule-based machine learning methods, ANFIS (Adaptive-Network Based Fuzzy Inference Systems), CN2 Rule and DT (Decision Tree) were used. The methods of Box Plot, Scatter Plot and Correlation Analysis were utilized for statistical analysis of the data. As a result of the classifications, respectively, 94.5%, 99.91%, and 97.28% success were achieved with the ANFIS, CN2 Rule, and DT methods. As a result of the evaluations made by using Box Plot, Scatter Plot and Correlation Analysis.
Citation - WoS: 3
Citation - Scopus: 4
Cnn Based Sensor Fusion Method for Real-Time Autonomous Robotics Systems
(Tubitak Scientific & Technical Research Council Turkey, 2022) Yıldız, Berat; Durdu, Akif; Kayabaşı, Ahmet; Duramaz, Mehmet
Autonomous robotic systems (ARS) serve in many areas of daily life. The sensors have critical importance for these systems. The sensor data obtained from the environment should be as accurate and reliable as possible and correctly interpreted by the autonomous robot. Since sensors have advantages and disadvantages over each other they should be used together to reduce errors. In this study, Convolutional Neural Network (CNN) based sensor fusion was applied to ARS to contribute the autonomous driving. In a real-time application, a camera and LIDAR sensor were tested with these networks. The novelty of this work is that the uniquely collected data set was trained in a new CNN network and sensor fusion was performed between CNN layers. The results showed that CNN based sensor fusion process was more effective than the individual usage of the sensors on the ARS.
Citation - WoS: 28
Citation - Scopus: 33
Comparison of Commercial and Traditional Kefir Microbiota Using Metagenomic Analysis
(WILEY, 2021) Biçer, Yusuf; Telli, Arife Ezgi; Sönmez, Gonca; Turkal, Gamze; Telli, Nihat; Uçar, Gürkan
The current study aimed to determine the bacterial microbiota of five commercial and one traditional kefir beverages consumed in Turkey. In all samples, Firmicutes (93.66%-99.98%) were the most abundant filum. Actinobacteria were detected (6.19%) in one commercial sample, and Proteobacteria were detected (5.91%) in the traditional kefir beverage. The dominant family in all commercial kefir beverages was Streptococcaceae (89.12-99.83%), and the most common genus was Lactococcus in three samples and Streptococcus in the other two samples. However, Lactobacillaceae (36.68%) and Streptococcaceae (36.68%) were dominant in traditional kefir. Lactococcus, Streptococcus and Enterococcus were common in all samples.
Citation - WoS: 20
Citation - Scopus: 18
Comparison of Different Optimization Based Land Reallocation Models
(ELSEVIER SCI LTD, 2020) Uyan, Mevlüt; Tongur, Vahit; Ertunç, Ela
Land reallocation, which is an optimization problem in the field of engineering, is the process of reallocating parcels to pre-determined blocks according to the preferences of landowners. In practice, this is done manually and takes weeks or even months. The elongation of this process affects both the cost of the project and the project's acceptability by the landowners and thus the success of the project. Because the success of land consolidation projects is determined by the satisfaction of the landowners. For these reasons, the optimization-based land reallocation studies have been extensively carried out recently. However, these methods in the literature are not used in practice and the reallocation is still done manually. Therefore, for the first time in this study, two new reallocation models were developed to solve this problem by using Migration Birds and Simulated Annealing Algorithms and the results of these methods in a real project area were compared. Additionally, the results were compared to the conventional reallocation method (manual reallocation) to evaluate the performance of the methods developed. Both proposed methods provided a successful and practicable reallocation plan in a very short time with respect to the conventional one.
Citation - WoS: 20
Citation - Scopus: 20
Comparison of Microbiota and Volatile Organic Compounds in Milk From Different Sheep Breeds
(Elsevier Inc., 2021) Yusuf, B.; Ezgi, T.A.; Gonca, S.; Telli, Nihat; Gürkan, U.
In this study, we compared the microbiota and volatile organic compounds (VOC) present in the milk obtained from 3 different sheep breeds, namely Merino, Lacaune, and Assaf. Udder milk was collected from 21 animals, 7 from each breed. Bacterial microflora was determined metagenomically by extracting the DNA from the milk and analyzing the V3-V4 region of the 16S rRNA gene. Headspace solid-phase microextraction gas chromatography-mass spectrometry method was used to analyze VOC. The metagenomic analysis revealed (for Merino, Lacaune, and Assaf milk, respectively) Firmicutes (66.32, 69.36, and 57.08%), Actinobacteria (19.09, 7.67, and 19.40%), Proteobacteria (13.76, 21.06, and 22.19%), and Bacteroidetes (0.84, 1.91, and 1.33%) phyla in the milk samples. Lactobacillus was highly abundant in the milk of 3 breeds (29.64, 43.50, and 18.70%). The genera constituting more than 2% of all bacteria in all groups were Jeotgalicoccus (7.19, 5.34, and 10.77%), Enterococcus (5.18, 9.78, and 3.64%), and Corynebacterium (4.08, 3.00, and 13.44%). A total of 32 different VOC were identified by headspace solid-phase microextration analysis with 9, 30, and 24 different compounds from Merino, Lacaune, and Assaf breeds, respectively. Although ketone was the most abundant compound in Merino milk (71.84%), hydrocarbons were the most detected in Lacaune and Assaf milk (37.18% and 55.42%, respectively). A positive correlation was found between acetone, which was detected at the highest level in all groups, with Salinicoccus, Alloiococcus, Psychrobacter, and Dietzia. In addition, a negative correlation was found between the Lactobacillus genus, detected at the highest level in all groups, with methyl cyclopentane, 3-methylheptane, octane, decane, 3,3-dimethyloctane, and dodecane. Thus, differences were observed in the bacterial microflora and VOC in the sheep milk from different breeds under different feeding and breeding conditions. © 2021 American Dairy Science Association
Computer Control of Z-Axis Movement in Micro Drilling Machine
(2020) Terzioğlu, Hakan; Yalçın, Gökhan; Neşeli, Süleyman
In this study, the automatic control of the feed axis is aimed to drill holes in micron diameters and precision by using a desktop drill. The control was carried out with the Visual Studio C # interface program using the feed rate, drilling depth and exit speed parameters of the drill in one axis. At the same time, the microprocessor control card enables the stepper motor of the drill to be managed and communicates with the computer. Using EEPROM memory, it is possible to work without the need of a computer whose operating parameters are stored in memory. PIC18F2550 microprocessor control board is used to control all components of the machine. In this way, both stepper motor drive and communication with computer are provided. With the designed control circuit, drilling can be performed with 3,6 degree precision. As a result of the drilling process carried out at different speeds and lengths of micron diameter (0.18-0.25µ) drill bits with the system created, it was seen that ideal drilling process could be performed according to the desired quality characteristics of the machine.
Citation - Scopus: 6
Cytotoxic Activities of Methanol Extract and Compounds of Porodaedalea Pini Against Colorectal Cancer
(2021) Deveci, Ebru; Çayan, Gülsen Tel; Karakurt, Serdar; Duru, Mehmet Emin
Porodaedalea pini is a medicinally important mushroom with antioxidant, cytotoxic, immunostimulating, antitumor, antiviral and immunomodulating activities. Therefore, in this study, P. pini methanol extract and isolated compounds from the methanol extract were tested for cytotoxic activities against DLD-1 (colorectal cancer) and CCD-18Co (human colon fibroblast cell line) by using Alamar Blue assay. Cytotoxic activity on DLD-1 was decreased in the order of P. pini methanol extract> 4-(3,4- dihydroxyphenyl)but-3-en-2-one (3)> pinoresinol (2)> ergosta-7,24(28)-dien3?-ol (1). P. pini methanol extract was determined to have the best cytotoxic activity with the lowest IC50 value on DLD-1 (IC50: 25.33±0.29 µg/mL) and the highest IC50 value on CCD-18Co (434.30±1.45 µg/mL). Within the scope of the findings, it is thought that P. pini mushroom can be used as a new and natural agent in the treatment of colorectal cancer.
A Descriptive and Comparative Analysis of the Two Turkish Translations of Pride and Prejudice by Jane Austen
(2022) Küçükbezirci, Yağmur; Parlak, Neslihan
Translation norms have an important place in descriptive translation theory and these norms concern not only the translated texts but also the society and culture to which the texts belong. Norms are related to the behaviour and choices of translators in the translation process and therefore determine translation decisions. The decisions taken in translation process as lexical choices and preferred translation strategies determine which of the translators will be closer to the source or target languages and cultures. Thus, it becomes clear which of the poles of adequacy or acceptability is closer to translated text. The concepts of 'adequacy and acceptability' have recently been associated with the concepts of 'overt translation' and 'covert translation'. In overt translation, the translator's choices are in accordance with the values of the source text and its culture and therefore the translation text is conveyed without changing the foreign-the cultural elements- given in the source text. In this context it can be claimed that the reader can obtain Information about the source text culture. On the other hand, in covert translation, the cultural elements given in the source text are domesticated and presented to the reader with expressions familiar to the reader. In this context, the translator's choices prioritize the reader and the values of target culture. This study aims to provide a descriptive analysis of the two translation versions of Jane Austen's Pride and Prejudice, in the light of Gideon Toury's descriptive approach to the translation studies. Through making a comparative analysis between the source text and the two translation versions (target texts) via selecting sentences randomly from the source text and comparing them with the target texts in terms of lexical choice, revealing a comparative and objective analysis in terms of their equivalences is the main focus of this study without searching for translation errors in comparison to the source text. In order to present a descriptive analysis, Gideon Toury's norms will be used as a guide and on a macro level, Toury's equivalence theory; “adequacy or acceptability” and the terms overt and covert translation will be used for the comparison of the target texts in terms of word level
Designing a System That Records the Sleeping Position Data of Sleep Apnea Patients
(2022) Vatansev, Hülya; Vatansev, Hüsamettin; Gölcük, Adem; Taşdemir, Şakir; Balcı, Mehmet; Küçüktürk, Serkan
Sleeping positions have a significant impact on exposure of apnea patients to sleep apnea. In this study, the sleeping position of the patient was read with the STM microcontroller by using the body position sensor (SleepSense 1/8" Plug DC Body Position Sensor Kit) produced by the sleep sense company. This sensor produces results with analog signals between 0-2V. This analog signal was read using the ADC feature of the microcontroller. This signal read by the microcontroller was sent to the computer via the USB port. The C# software prepared on the computer reads the data from the microcontroller and saves this data and the arrival time of the data to the bit TXT file. The data in this TXT file is ready to be evaluated by signal processing methods. These data, together with other data obtained from the polysomnography device, can be used to learn the body position of the patient at the time of apnea.
Citation - Scopus: 14
Determination and Modeling of Lignite Reserve Using Geostatistical Analysis and Gis
(SPRINGER HEIDELBERG, 2021) Uyan, Mevlüt; Dursun, Arif Emre
Thrace Basin is one of the most significant coalfields due to the lignite reservoir in Turkey. A coal deposit was chosen as the study area in the Thrace coal basin, which is tertiary within Oligocene geological formation. The purpose of this study is to produce modeling of coal seams in the study area and to create spatial distribution maps for estimation of lignite coal resource characteristics using geostatistical methods with Geographic Information System (GIS) technology. Spatial continuity of the coal depth data was forecasted with an empirical variogram. The performance of six different models has been compared for ordinary kriging separately for both skewed data and transformed data according to the presence and absence of the trend. Spatial structure of the coal depth data was better explained using circular models. The nugget-sill ratio was indicated high spatial dependency with 0.002 and 0.009 for upper-lower surfaces of coal seams respectively. The estimations obtained for coal depth data were represented in a map. In the study area modeled with ordinary kriging method, it was estimated that there was a 17,516,997 m(3) coal reserve as a result of the reserve calculation made with ArcGIS 10 software.

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