Person: DOĞAN, BUKET
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DOĞAN
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BUKET
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Publication Open Access Sharing Location Information in Multi-UAV Systems by Common Channel Multi-Token Circulation Method in FANETs(KAUNAS UNIV TECHNOLOGY, 2019-02-12) DOĞAN, BUKET; Ulku, Eyup Emre; Dogan, Buket; Demir, Onder; Bekmezci, IlkerUnmanned Aerial Vehicle (UAV) technology is being used increasingly for military and civilian purposes. The primary reason for this increase is that UAVs eliminate the risk to human life in difficult and dangerous missions, are cost effective, and easily are deployed. Developments in UAV technology and decreasing costs have increased UAV usage. However, when multiple UAVs are deployed, inter UAV communication becomes complicated. For this reason, communication in multi-UAV systems is the most important problem that needs to be solved. To enable communication among UAVs without infrastructure support, a Flying Ad Hoc Network (FANET) is used. A FANET provides UAVs to fly in tandem without colliding. To ensure coordinated flight, UAVs require the location information of other UAVs. In this study, we developed a common channel multi-token circulation protocol to share location information in multi-UAV systems that communicate using a FANET. The proposed method ensures that UAVs in multi-UAV systems know each other's coordinate information with minimum error.Publication Open Access Yeni Bir Yaklaşımla Genç Bireylerde Kalp Sağlığı Takibi için Web ve Mobil Uygulama Geliştirilmesi(2019-11-01) FAK, ALİ SERDAR; ZEHRA AYSUN ALTIKARDEŞ;Mensur BAJGORA;Ufuk SARIKAYA;BUKET DOĞAN;ALİ SERDAR FAKKardiyovasküler hastalık riskini tetikleyen hipertansiyon, obezite, diyabet gibi önlenebilir hastalıkların ve risk faktörülerinin sıklığı ülkemizdekigenç bireylerde hızla artmaktadır. Bu hastalıkların kontrollü bir şekilde takip edilebilmesi ve önlenebilmesi için Marmara Üniversitesiöğrencilerinin demografik ve sağlık verilerinin kayıt altına alınmasını ve izlenmesini sağlayan web ve mobil uygulamanın geliştirilmesisağlanmıştır. Böylece, Framingham risk skoruna göre öğrencilerin 10 yıllık kardiyovasküler risklerinin hesaplanarak görüntülendiğive kişiye özel hale getirilmiş tıbbi önerilerin e-posta yoluyla bildirildiği bir web platformu PHP ve MySQL kullanılarak oluşturulmuştur.Öğrencilerin ilerleyen zamandaki kardiyovasküler hastalık risklerinin takip edilebildiği bu platform, yüksek risk grubunda olan bireylerinrisk seviyelerinin normale indirilebilmesi için farkındalıklarını arttıran bir işlevselliğe sahiptir. Hazırlanan web platformunun desteklenmesiiçin, Marmara Üniversitesi öğrencilerinin kendi sağlık durumlarını takip edebilecekleri, kalp sağlığı konusunda bilinçlendirici bildirimlerledestekleneceği ve yaşam kalitelerini arttırabilmeleri için bir standart oluşturulmasına yardımcı olacak “Sağlıklı Kalpler” adındaAndroid ve iOS platformlarında kullanılmak üzere bir mobil uygulama geliştirilmiştir. Bu uygulama içerisinde adım sayar, egzersiz ekleme,listeleme, sağlıklı beslenme ve güncel sağlık durumunu izleme gibi fonksiyonlar bulunmaktadır.Publication Metadata only Applying social networks to engineering education(WILEY, 2018) DOĞAN, BUKET; Dogan, Buket; Demir, Onder; Ulku, Eyup E.Social networking sites (SNSs) are a popular Internet-based means for users to communicate and interact with each other. Although they have caught the attention of many researchers and are already being used as educational tools, very few studies have investigated the effects of using an SNS in engineering education. This study, therefore, aims to analyze the effects of using the Edmodo platform as a teaching and learning support tool on students' academic and practical performance in the Introduction to Information Technology and Algorithms course, as well as in the Computer Programming course they took in the following semester. It also considers the students' opinions about the Edmodo system. For this study, a total of 62 students studying in the Electrical and Electronics Engineering Department during the 2016-2017 fall semester were divided into two equally sized groups. The control group underwent a traditional face-to-face education, whereas the experimental group augmented this using the Edmodo system. A mixed-methods approach with a post-test-only control group design was used: quantitative data were obtained from student tests, together with qualitative data from follow-up interviews. The students' grades were analyzed using Student's t-test and correlation analysis, showing that the experimental group performed better in their academic and laboratory assessments and that there was a moderately positive relationship between the post-test results and performance in the subsequent Computer Programming course.Publication Metadata only Visual Clustering of Multidimensional Educational Data From an Intelligent Tutoring System(WILEY, 2010) DOĞAN, BUKET; Dogan, Buket; Camurcu, A. YilmazData mining can be used in the educational field to make teaching more effective, to provide help for the student and teacher, and to analyze data. Data mining can be useful with educational software like intelligent tutoring systems which contain large quantities of data about students and their degree of success, scores, and errors. By analyzing these data, it is possible to obtain pedagogically reliable information as feedback for the teacher. The objectives of this study are to cluster the data available from an Intelligent Tutoring System (ITS) and to visualize the multidimensional data analysis results. In this study, the ITS data, which contain exam results on six different concepts, are clustered using k-means and fuzzy c-means algorithms, and the clustering performance of the two algorithms is compared. Cluster analysis results are visualized using a parallel coordinate system. Clustering and visualizing of the concept-level scores is used to provide meaningful and nontrivial insights into the workings of a course. Such information is useful for the teacher to discover which concepts give students difficulty and which do not. The paper also describes the data mining software developed in this study and the analytical results obtained. (C) 2009 Wiley Periodicals, Inc. Comput Appl Eng Educ 18: 375-382. 2010; Published online in Wiley InterScience (www.interscience.wiley.com); DOI 10.1002/cae.20272Publication Metadata only OPCOMITS: Developing an Adaptive and Intelligent Web Based Educational System Based on Concept Map Model(WILEY, 2016) DOĞAN, BUKET; Dogan, Buket; Dikbiyik, EmrahConcept map model is a method that creates domain model by identifying the relationship between concepts in course contents. This study presents an adaptive intelligent web based learning system called OPCOMITS (Object Oriented Programming Tutor using Concept Map Model). OPCOMITS has a free domain model which can be regulated by an expert for any course. It uses concept map model to regulate the topic hierarchy, to measure the student's knowledge about a topic and to stimulate learning. By employing a concept map model, it structures the course and provides an environment in which the lecturer can arrange the chapters, topics, concepts and the prerequisite relationships between the concepts. Thus, it offers an adaptive and effective learning environment by measuring the level of student's knowledge about a topic, offering reinforcing feedback, diagnosing students' weaknesses and directing them to related chapter topic in the domain for revisions. To evaluate the effectiveness of the proposed approach an experiment has been conducted on Computer Programming department in Object Oriented Programming course. From the experimental results, it is found that OPCOMITS has contributed to the academic success of students using it and students have exhibited much better learning than those who have used a conventional e-learning system. (C) 2016 Wiley Periodicals, Inc.