WoS İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/394
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Article Citation - WoS: 4Strategic Sustainable Site Management in Higher Education Institutions(deomed Publ, Istanbul, 2016-12-01) Ayten, Asim MustafaIn retrospect, the role of scientific progress is of the utmost importance in the development and the current status of the universitites whose history is as old as the city life. The main determinants of the emergence of Enlightenment period have been the Reformation and the Renaissance movements in Europe. Thus, thoughts and ideas based on the mind instead of dogmas have made progress under the guidance of positivism and the city life has been indirectly affected from this development. The industrial revolution caused remodeling and changes in urban and spatial structure. Although educated and skilled labor force was not requested by the industry initially, that kind of force gained importance over time and the collaboration between industry and universities became inevitable. Until the years of 1940, Von Humboldt system, prevailing in Germany, changed and US system has become effective since 1945. During the years of 1960, universities became technology-based organizations and the institutions where scientific researches were conducted instead of the ones where only educational activities were carried out. Particularly, new settlements based on technology development regions attracted the attention. Within the order created by this relationship, different kinds of universities, research centers and spatial constructions were emerged either inside or outside the cities. In parallel with the growth of the cities, university buildings moved to the campuses outside the cities in accordance with the changing needs and new applications were made inside the cities and over the vast areas with different spatial typologies. In our study, campus site managements were examined in terms of environmental factors, logistics, traffic management, transportation and other criteria (population size, field size, space per person and etc.), sampled with a survey carried out on 22 universities and made an evaluation based on the responses taken by 17 universities. This study has shown that our universities have not got a large part of the criteria required to become a 3rd generation university. So as to compete with the other universities in the World, an approach with corresponding social, economic, and spatial dimensions which leaves an impression on the city, region, country and the whole World should be put into practice in the field of higher education.Article Social Constructivism and Its Contributions to Explain the European Integration(Ankara Univ European Union Research Centre, 2015) Buyuktanir, DeryaSocial constructivist approach attained an important place within international relations discipline after 1980's. Constructivism focuses on social ontological elements such as inter-subjective meaning, norms, rules, institutions, discourse and communicative action. By this way it prevents these constructivist qualifications to be degraded to epistemological matter and also constitutes a starting point for the researches carried out on the European integration. Because, analyzing interaction between the subjects and social impacts shall assist to find the answers of the questions how and why European integration came to the current situation, to a great extent. Explaining this process within the scope of social constructivist approach rather than the integration theory shall provide to take many issues into consideration without getting far from the rational point of view.Article Citation - WoS: 4Relationship Between Neutrophil Gelatinase-Associated Lipocalin and Mortality in Acute Kidney Injury(Galenos Yayincilik, 2018-12-03) Kayaalti, Selda; Kayaalti, Omer; Aksebzeci, Bekir HakanObjective: Almost half of intensive care patients are affected by acute kidney injury (AKI). The purpose of this study is to determine parameters that can be used for predicting of early (within 28 days) and late (within 90 days) mortality in patients who are followed-up with AKI in intensive care units. Materials and Methods: In this study, a dataset that contains 50 patients with AKI in intensive care units was used. This dataset contains blood urea nitrogen, creatinine, plasma and urinary neutrophil gelatinase-associated hpocalin (NGAL), lactate dehydrogenase, alkaline phosphatase and gammaglutamyl transpeptidase values of patients who were admitted to intensive care for various reasons and who developed AKI on the days 1, 3 and 7. In addition to these values, laboratory results such as serum electrolytes on day 1, blood gas; vital signs such as mean arterial pressure, central venous pressure; and demographic data were also recorded. Data mining techniques were applied to determine correlation between all of these data and mortality. Results: The threshold level of urinary NGAL on day 7 was determined to be 69 ng/mL, and strong correlation was found between this threshold level and early mortality. Similarly, the threshold level of plasma NGAL on day 7 was determined to be 150 ng/mL, and this was highly correlated with early mortality. Besides, strong correlation was also found between the difference in the urinary NGAL levels on day 1 and 7, and early mortality. Conclusion: In this study, plasma and urinary NGAL levels were found to be closely related to early mortality in patients who were followed-up with AKI in intensive care units. On the other hand, any parameter associated with late mortality was not found.Conference Object Citation - Scopus: 1PCB Component Recognition With Semi-Supervised Image Clustering(IEEE, 2021-06-09) Unal, Ahmet Emin; Tasdemir, Kasim; Bahcebasi, AkifClassification of surface mounted devices plays an important role on automated inspection systems of printed component board production. Limited number of publicly available datasets which the components are labeled and high intraclass variance in these datasets causes the supervised approches to be inefficient. In this study a deep learning method, enhanced with an unsupervised clustering system, which uses a small set of labeled data is proposed. The method compared with the current studies and the supervised systems. Most optimized setting reached high accuracy results by outrunning current classification methods.Conference Object Graph-Based Biomedical Knowledge Discovery(IEEE, 2024-05-15) Altuner, Osman; Bakir-Gungor, Burcu; Bakal, GokhanThe digitalization process is progressing at a very high speed all over the world. While this situation provides many conveniences in today's life, it also brings along a problem such as analyzing and processing the huge digital data. This also applies to published academic studies. In this sense, the process of evaluating each study to access previously unknown information within the studies requires a very laborious process. For this reason, in this study, the publications obtained for the target diseases were analyzed by text analysis processes and converted into a graph structure that enables the linking of meaningful terms through biomedical relationships. On the dense graph structure obtained, binary biomedical entities with important links such as treats, causes, associated_with were queried. The entity pairs obtained according to the query results were also confirmed by manual search method and proved to be real connections. In this study, retrieval of known biomedical entities with the proposed approach solved the time-consuming manual search problem. There is also the potential to obtain unknown/unexplored possible new relationships (e.g., therapeutic, causal, etc.) with multiple binary linking patterns.Article Citation - WoS: 1Elastic Modulus Prediction for Fiber-Reinforced Concretes(Pamukkale Univ, 2020) Yagmur, ErenIn this study, the effects of different discrete fiber types on the elastic modulus of concrete are investigated. For this purpose, 260 cylindrical pressure test specimens are compiled. The fiber types considered are steel, PVA, polypropylene, polyolefin, basalt and olefin. The results of the study are showed that if the ratio of coarse aggregate to fine aggregate exceeds 1.5 for all fiber types, the compressive strength of concrete decreases. It has been observed that the elastic modulus increases in cases where the fiber aspect ratio of the steel fibers is less than and equal to 60, while the elastic modulus decreases for values greater than 60. An elastic modulus equation, which applies to all fiber types considered, is proposed. The proposed equation is compared with the experimental results and the other formulas in the literature and the validity of the equations for different cases are questioned.Conference Object Citation - WoS: 4Blockchain-Based Fog Computing Applications in Healthcare(IEEE, 2020-10-05) Adanur, Beyhan; Bakir-Gungor, Burcu; Soran, AhmetRecently, the use of blockchain technology in the field of healthcare has increased. Although blockchain technology brought several innovations to healthcare, still there are problems waiting to be resolved. In order to provide alternative solutions to these problems, the use of fog computing together with blockchain technology has been proposed. In this study, the applications of blockchain based fog computing technology in healthcare are investigated. The aim of this study is to provide the readers an idea about the interactive use of blockchain and fog computing in the field of healthcare. For this purpose, firstly, fog computing and blockchain technologies are introduced. Afterwards, the integration of these areas, the advantages and disadvantages of using these technologies in the field of healthcare is discussed and a new system architecture is proposed.Conference Object Blockchain Based User Management System(IEEE, 2020) Temiz, Mustafa; Soran, Ahmet; Arslan, Halil; Erel, HilalBlockchain is a reliable and transparent structure formed by distributing the data in blocks connected to each other using various cryptography techniques to other points on the network. The difference from the existing database operations is that the authorities and responsibilities do not exist in a single central authority, and that these powers and responsibilities are distributed to the other nodes in the network and the assignment is shared. To provide this, peer to peer network infrastructure is used. However, at this stage, authentication in terms of security is one of the basic security mechanisms. In this study, a user management system which can be integrated with more reliable and current technologies, which is thought to be the solution to speed problems in blockchain, is proposed.Conference Object Citation - WoS: 6Citation - Scopus: 14Autonomous UAV Navigation via Deep Reinforcement Learning Using PPO(IEEE, 2022-05-15) Kabas, BilalIn this paper, a computer vision-based navigation system is proposed for autonomous unmanned aerial vehicles (UAV). The proposed navigation system is based on a deep reinforcement learning-based high-level controller. In this paper, proximal policy optimization (PPO), which is a deep reinforcement learning method, is used to train the artificial neural network in an end-to-end way using a continuous reward function. The proposed method has been tested on images obtained from different modalities (RGB and depth) in simulation environments that are created using Unreal Engine and Microsoft AirSim. For the navigation problem that this work is concerned with, a success rate of 96% has been obtained by using RGB cameras. Since RGB cameras are lighter than depth cameras and the trained artificial neural network has a parameter number less than 170.000, the proposed method is suitable to be deployed in micro aerial vehicles. Code is publicly available*.Article Citation - WoS: 3Association Rules on Traffic Accident: Case of Ankara(Ege Univ, Fac Economics & Admin Sciences, 2016-12-01) Soylemez, Ismet; Dogan, Ahmet; Ozcan, UgurIn this study, association rules analysis of the data mining techniques are used for data of traffic accidents in 2010 and some rules are obtained. With this rules, what is the possibility of accident which resulted anybody injured for "different weather conditions (snowy, rainy etc.)", "where the accidents occurred (street, road etc.)" and "way situations (separated road or not)". Different algorithms are used to analyze the association rules. Apriori algorithm is selected for this study and SPSS Clementine 12.0 is used for this algorithm. Firstly, frequency of items are found. Then, items are grouped. In this study, data preprocessing is done and missing values are filled or rejected. In the second phase, outliers are rejected and data type is converted type of 1-0 (binary). In the third phase, Apriori algorithm is applied and results are evaluated.