Investigation of Physical Activity Levels of Physical Education and Sports School Students

The aim of this research is to determine the physical activity levels of physical education and sports school students and to examine the physical activity levels according to some demographic characteristics. The objective of the research is composed of 480 students who are studying different programs in Bozok University Physical Education and Sports School in 2017-2018 academic year. The sample of the research is composed of 300 students’ determined random sampling method among the students studying in Bozok University Physical Education and Sports School in 2017-2018 academic year. Demographic information about the students in the survey was obtained with the personal information form and information about the level of participation in physical activity by the International Physical Activity Scale (Short form). Frequency, percentage, cross tables, Chi-Square and ANOVA tests were used in the analysis of the data. As a result of the analyzes; statistically significant differences were found between physical activity levels according to gender, body mass index, education department, sports branch and cigarette use variables (p<.05)

Parameteric thermal process models of friction stir welding

A Dissertation for the Master’s Degree in Mechanical Engineering School of Mechanical, Industrial & Aeronautical Engineering Date: 02/02/2017The Friction Stir Welding process is a rotating tool, that consists of a specialy designed shoulder and pin, that is plunged into the joining line of the required material and traverses along this line. The friction is induced by the rotating tool causes the workpiece material to rise to an operating temperature of 70% to 90% of the workpiece material's melting temperature and resulting in, no phase change, nor any defects associated with phase change, occurs in the workpiece. The increased temperature of the material causes the shear yield strength to drastically decrease thus allowing the two pieces to plasticise, easily stir around the tool and subsequently join. As the tool traverses along the workpiece, the softened material cools in the wake of the rotating tool and recrystallises, forming a ne grained microstructure. Attempts to develop an innovative tool to correlate the resulting of thermal models with process parameters are scarce. In this work, 6056-T4 and 6082-T6 Aluminum alloy sheets are friction stir welding at different rotational and translational speeds during the experimental aspect and material 2024-T3 for the analytical calculations. The effects of process parameters on the resulting thermal and mechanical properties are investigated. The results show that the use of coolant during the friction stir weld decrease heat generation substantially, this can also affect the force of the weld. It is also observed that the shear strenght of the processed sheet depends strongly on the rotational and translational speeds as weld as the thermal aspect and varies widely within the processed region, this was shown in this study by evaluating the thermal aspects of different weld types namely the Standard tool, Bobbin tool and the innovative tool. In addition. The proposed approach involves determination of the use of the friction stir welding in different thermal conditions and championing the use of an innovative tool.MT201

WEB TABANLI SANAL GENETİK ALGORİTMA LABORATUARI

      İnternet teknolojilerindeki gelişmeler, öğrenme ihtiyaçlarının farklılaşması, bireylerin daha esnek ve kişiselleştirilmiş bir öğrenme ortamını talep etmeleri internet  tabanlı uzaktan öğretim modellerinin oluşturulmasına zemin hazırlamaktadır. Uzaktan  eğitim kendi arasında çeşitli kategorilere ayrılmakta, uzak sanal laboratuarlar da bu kategoriler arasında ele alınmaktadır. Bu çalışmada, genetik algoritmalar (GA) konusunda örnek deneyler içeren uzak sanal laboratuar uygulamalarının gerçekleştirildiği bir deney sistemi hazırlanmıştır. Genelde, GA son derece teorik derslerden biridir ve bir öğrencinin programlama dillerinden herhangi birinde GA uygulaması yazması oldukça zordur. Ayrıca, yazılmış bir programda; nüfus büyüklüğü, çaprazlama oranı, mutasyon oranı ve kodlama biçimi gibi parametrelerin en iyi değerlerini bulmak zaman alıcı bir iştir. Bu zorlu adımların gerçekleştirilmesinden sonra, öğrenciler GA’nın çalışmasını irdeleyebilmektedirler. Oysaki çalışmamızda, öğrenciler tek bir satır program kodu dahi yazmadan, İnternet üzerinden uzak sanal GA laboratuarına erişerek, GA’nın çalışma ve performansını inceleyebilmektedirler. Çalışmada; Matlab, Matlab Web Sunucu, Apache Sunucu, PHP ve Javascript gibi yazılım araçları kullanılmıştır

Solving Weapon-Target Assignment Problem with Salp Swarm Algorithm

The weapon target problem is a combinatorial optimization problem. It aims to have the weapons on target properly assigned for the intended purposes. When focused on its target, it does things with its effective attack research in mind. It is an ongoing problem program to minimize survivors. This study, using the weapon target assignment model calculates the expected probabilities on the target with the salp model. The nature of this SHA model is designed to be appropriately predicted for this particular use. The Salp Swarm Algorithm (SSA) is a metaheuristic method of methods approaching the solution set as an approximation. Optimum solution or optimum example is in a working example. This study was done with 12 problem examples (200 training and 200 targets with pleasure to observe, to test the efficiency of SSA). In the problem, the iteration resulted in optimum results at the end of the definite usage time. Best value included 48.355 for WTA1, 92.654 for WTA2, 174.432 for WTA3, 155.658 for WTA4, 250.784 for WTA5, 284.967 for WTA6, 247.458 for WTA7, 362.636 for WTA8, 524.732 for WTA9, 548.580 for WTA10, 601.654 for WTA11, and WTA16812. It was obtained by finding in 200,000 iterations and the result value was 50. After 200000 improvements, it was observed to relax to increase iteration. The use of barter when generating new solutions to the problem. To find out the fitness values, mean, best, and worst values were found

Evaluation of pancreas with strain elastography in children with type 1 diabetes mellitus

Background: To investigate changes in pancreatic elasticity in children with type 1 diabetes mellitus (T1DM). Material/Methods: The study group consisted of 60 children with T1DM, and the control group was comprised of 60 healthy children. Strain ratios were obtained for the pancreas using ultrasound strain elastography (Toshiba Applio 500 device). Baseline descriptive data, hemoglobin A1c (%) level, time since diagnosis of T1DM (months), and strain ratio values were noted and compared between the 2 groups. Furthermore, correlation between strain ratio values and other variables was investigated. Results: ROC analysis yielded an optimal cut-off value of 2.245 (AUC=0.999, p<0.001, sensitivity=0.983, specificity=1.00) for the strain ratio. Strain ratio values greater than 2.245 were likely to be pathological, which could be attributed to increased tissue stiffness in T1DM. The strain ratio was significantly higher in T1DM patients than in the control group (3.38±0.66 vs. 1.32±0.35; p<0.001). The strain ratio correlated positively with age and duration of T1DM (p<0.001 for both), and there was a correlation between the strain ratio and age in the control group (p=0.011). Conclusions: Strain elastography is a promising, safe, non-invasive, and practical method for early detection, long-term screening, and follow-up in children with T1DM

Active learning in supply chain management course

Active Learning in the Supply Chain Management Course. This paper presents a new active learning approach implemented in the Supply ChainManagement (SCM) course in the Industrial and Manufacturing Engineering Department.Previously, in this course the fundamentals of supply chain and logistics, drivers of supply chainperformance and analytical tools necessary to develop solutions for a variety of SCM and designproblems were mainly covered through class lectures and case study discussions. In the past fewyears, due to the growth in the needs of the organizations to “Lean” principles, the course wasmodified to satisfy this requirement more efficiently. For this purpose a new hands on experienceworkshop was utilized where the students could physically simulate the implementation of leanprinciples in a supply chain network. Through this simulation, students learned the fundamentalconcepts of a supply chain such as demand management, inventory management, role ofinformation system and coordination, transportation, and finance and accounting. In addition thestudents had the opportunity to actively practice the lean concepts such as Kanban, pull andpush, just-in-time production systems, and product and process design by being physicallyinvolved in a teamwork educational game. This simulation game could enhance materialretention and foster critical thinking among the students. Moreover, several directedpresentations by speakers invited from diverse industries and ISM (Institute of Supply ChainManagement) were arranged to expose the students to some real case studies and then someassignments were defined to promote higher order of thinking. To assess the effectiveness of thecourse restructure and the applied pedagogical methods, a survey is conducted to measurestudents’ satisfaction and evaluate their perception of knowledge about the lean supply chainmanagement, and the results are analyzed