Aksaray University Journal of Science and Engineering最新文献_第4页

Gauss Narayana-Lucas Sayıları Üzerine 高斯·纳拉亚纳-卢卡斯Sayıları Üzerine

Aksaray University Journal of Science and Engineering Pub Date : 2021-12-09 DOI: 10.29002/asujse.1020770

Nusret Karaaslan, Merve Nur Fazlioğlu

引用次数: 0

15-15-15 Gübresinin Kitosan ile Kaplanması ve Elde Edilen Toz Malzemelerin Karakterizasyonu

Aksaray University Journal of Science and Engineering Pub Date : 2021-12-03 DOI: 10.29002/asujse.1024256

Bektaş Ayik, Y. Çakmak, Murat Kaya

引用次数: 0

Tüm Arama Uzayını Tarayarak Küçük Ölçekli Kaynak Kısıtlı Proje Çizelgeleme Problemlerinin Çözümü

Aksaray University Journal of Science and Engineering Pub Date : 2021-10-28 DOI: 10.29002/asujse.878294

Onder Bettemir, Derya Çakmak

引用次数: 0

Correlation Analysis of Flexible Road Pavement Surface Condition and Load Bearing Capacity of Subgrade Soil 柔性路面路面状况与路基土承载能力相关性分析

Aksaray University Journal of Science and Engineering Pub Date : 2021-07-08 DOI: 10.29002/asujse.866010

P. T. Adeke, I. Kanyi, M. Olawuyi

引用次数: 0

A Study On the Zn(II) Separation Efficiency of Chemically Synthesized Hydroxyapatite (HAp) Particles 化学合成羟基磷灰石(HAp)颗粒分离Zn(II)效率的研究

Aksaray University Journal of Science and Engineering Pub Date : 2021-06-09 DOI: 10.29002/asujse.908451

Ahmet Di̇zle, Y. Uysal

引用次数: 0

Recoil Analysis for Heavy Ion Beams 重离子束的后坐力分析

Aksaray University Journal of Science and Engineering Pub Date : 2021-01-24 DOI: 10.29002/asujse.1090950

Fatih Ekinci, E. Bostanci, Ozlem Dagli, Mehmet Serdar Guzel

{"title":"Recoil Analysis for Heavy Ion Beams","authors":"Fatih Ekinci, E. Bostanci, Ozlem Dagli, Mehmet Serdar Guzel","doi":"10.29002/asujse.1090950","DOIUrl":"https://doi.org/10.29002/asujse.1090950","url":null,"abstract":"Given that there are 94 clinics and more than 200,000 patients treated worldwide, proton and carbon are the most used heavily charged particles in heavy-ion (HI) therapy. However, there is a recent increasing trend in using new ion beams. Each HI has a different effect on the target. As each HI moves through the tissue, they lose enormous energy in collisions, so their range is not long. Ionization accounts for the majority of this loss in energy. During this interaction of the heavily charged particles with the target, the particles do not only ionize but also lose energy with the recoil. Recoil occurs by atom-to-atom collisions. With these collisions, crystalline atoms react with different combinations and form cascades in accordance with their energies. Thus, secondary particles create ionization and recoil. In this study, recoil values of Boron(B), Carbon(C), Nitrogen(N), and Oxygen(O) beams in the water phantom were computed in the energy range of 2.0-2.5 GeV using Monte Carlo simulation and the results were compared with carbon. Our findings have shown that C beams have 35.3% more recoil range than B beams, while it has 14.5% and 118.7% less recoil range than N and O beams, respectively. The recoil peak amplitude of C beams is 68.1% more than B beams, while it is 13.1% less than N and 22.9% less than O beams. It was observed that there is a regular increase in the recoil peak amplitude for C and B ions, unlike O and N where such a regularity could not be seen. Moreover, the gaps in the crystal structure increased as the energy increases.","PeriodicalId":7626,"journal":{"name":"Aksaray University Journal of Science and Engineering","volume":"131 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73119088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

A Simulation Study on a Production System 一个生产系统的仿真研究

Aksaray University Journal of Science and Engineering Pub Date : 2020-12-30 DOI: 10.29002/asujse.765097

Burcu Özcan, Eda Yıldırak

{"title":"A Simulation Study on a Production System","authors":"Burcu Özcan, Eda Yıldırak","doi":"10.29002/asujse.765097","DOIUrl":"https://doi.org/10.29002/asujse.765097","url":null,"abstract":"In case it is more costly and time consuming to implement system investments, system changes in simulation, it enables the changes to be applied and analyzed in computer environment. It is also a common set of tools and methods to assist researchers and practitioners in reviewing and making decisions for resource allocation to new or existing systems. Modeling with simulation is a method that will give important results in other areas such as production systems and service systems. In this study, the functioning of the current situation in the size-packaging department of a production company operating in the packaging sector is modeled in the Arena 14.0 program. The simulation model 15 replications were made and run one day. It is known that the biggest problem in the packaging department is intermediate stocks. For this reason, in this section, it is aimed to reduce cycle time, increase the number of parts and increase the resource utilization rates according to the results of analyzing the situations that lead to bottlenecks and production complexity. Accordingly, various alternative scenarios have been created. The scenarios created were modeled in Arena 14.0 program and compared with each other, the best results of these scenarios were determined as the situation where the new operator and machine allocation were together. In this way, there has been a significant reduction in cycle time, machine and operator usage rates and queuing times. The number of pieces released has also increased by 80. It was not included in the evaluation because cost data was not shared. A more detailed examination can be made by including the cost data in the study.","PeriodicalId":7626,"journal":{"name":"Aksaray University Journal of Science and Engineering","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76998023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Evaluating Spatial Legibility of the University Campus Using GIS 基于GIS的大学校园空间易读性评价

Aksaray University Journal of Science and Engineering Pub Date : 2020-12-30 DOI: 10.29002/asujse.767122

A. Bozdağ, M. Gümüş, K. Gümüş, S. Durduran

引用次数: 1

Detection of Tumor Slice in Brain Magnetic Resonance Images by Feature Optimized Transfer Learning 基于特征优化迁移学习的脑磁共振图像肿瘤切片检测

Aksaray University Journal of Science and Engineering Pub Date : 2020-12-30 DOI: 10.29002/asujse.820599

S. Celik, Ömer Kasim

{"title":"Detection of Tumor Slice in Brain Magnetic Resonance Images by Feature Optimized Transfer Learning","authors":"S. Celik, Ömer Kasim","doi":"10.29002/asujse.820599","DOIUrl":"https://doi.org/10.29002/asujse.820599","url":null,"abstract":"This study includes investigating the presence of tumor regions in Magnetic Resonance Imaging (MRI) slices. Since the MRI taken from a patient consists of many slices, it may take time for experts to review these images. The aim of the study is to evaluate the specialist's MRI slices more quickly. The image of each MRI slice taken from the patient was applied to the Alexnet transfer learning algorithm and the properties of the image were obtained. These features are optimized with the Relieff feature selection algorithm to achieve optimum success. The highest accuracy has been achieved with the support vector machine classifier, in which optimized features are used. The study was validated with 3 different combinations by training with two datasets and testing with the other. Thus, a method that can work under different conditions were obtained. The performance metrics of the study were obtained by taking the average of the successes obtained from each data set. MRIs were trained with Alexnet transfer learning model and performance analysis was performed on the obtained classification models. The feature optimization used both increased the success to 97.55% and reduced the processing time from 0.4064 to 0.3045 seconds. The proposed model with a high success rate and a rapid classification is expected to assist the expert in both diagnosis and treatment planning.","PeriodicalId":7626,"journal":{"name":"Aksaray University Journal of Science and Engineering","volume":"20 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87317602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

On Some Properties of Distance in TO-Space 关于to空间中距离的一些性质

Aksaray University Journal of Science and Engineering Pub Date : 2020-12-24 DOI: 10.29002/asujse.688279

Z. Can

引用次数: 0