Bilgisayar Programcılığı Programı Makale Koleksiyonu
https://hdl.handle.net/20.500.12294/371
Bilgisayar Programcılığı Programına ait makaleler bu koleksiyonda listelenir.
2024-03-29T08:45:40Z
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A multi agent solution for UAV path planning problem with NetLogo
https://hdl.handle.net/20.500.12294/2010
A multi agent solution for UAV path planning problem with NetLogo
Çalık Kazdal, Seda; Kuğu, Emin; Birtane, Sibel; Şahingöz, Özgür Koray
Due to its low cost, small size, autonomous structure and high mobility, usage of the Unmanned Aerial Vehicles (UAVs) has been increasing over the last two decades. To construct an autonomous UAV, path planning is a crucial task to meet the objectives specified for the mission. Mainly, the purpose of path planning can be described as find the optimal path from a start point to the destination point to check necessary control points (CPs) while taking into consideration different operational constraints. While the number of CPs increases, constructing an optimal path is getting trivial, most of the researchers used evolutionary algorithms and/or swarm algorithms to reach a near optimal solution in an acceptable time. In this study, it is aimed to solve the UAV Path Planning problem with a swarm intelligence algorithm as Ant Colony Optimization Algorithm. To implement this algorithm with similar to the real world, each ant is aimed to implement as an autonomous agent, and the proposed system is implemented on NetLogo, which is a multi-agent programmable modeling environment for simulating real World problems. The experimental results showed that the proposed system produces an acceptable solution in a limited time. © Research India Publications.
#nofulltext# --- Birtane, Sibel (Arel Author)
2016-01-01T00:00:00Z
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Fuzzy logic based risk assessment system giving individualized advice for metabolic syndrome and fatal cardiovascular diseases
https://hdl.handle.net/20.500.12294/1699
Fuzzy logic based risk assessment system giving individualized advice for metabolic syndrome and fatal cardiovascular diseases
Korkmaz, Hayriye; Canayaz, Emre; Birtane, Sibel; Altikardes, Aysun
In 2005, global cardiovascular diseases caused 30% of deaths in Europe, which is 46% of total deaths for all death groups. Today, according to the International Adult Diabetes Federation, 20% to 25% of the adult population in the world has Metabolic Syndrome. Turkish Statistical Institute claims that in Turkey 408782 people died of circulatory system diseases in 2016 and it is expected that numbers will dramatically increase. In 2003, total worldwide healthcare budget of Diabetes Mellitus was up to 64.9 billion International Dollars with the continuing rise in prevalence, it is expected that total costs will increase to 396 billion International Dollars by 2025. The main purpose of this study was to present a clinical decision support system that calculates Metabolic Syndrome existence and evaluate HeartScore risk level for Turkish population. The second objective was to create a detailed personal report about individual's risk level of Metabolic Syndrome and HeartScore and give advice to him/her to reduce it. The fuzzy logic risk assessment system (FLRAS) was formed in LabVIEW graphical development platform according to International Diabetes Federation and European Heart Journal's criteria. Mamdani type fuzzy logic sets were identified for each input variable and membership functions were assigned depending on the magnitude of the input limits. System's performance was tested on 96 (72 females, 24 males) patient data. Results show that the proposed system was able to evaluate the Metabolic Syndrome risk with 0.9285 specificity, 0.92708 accuracy and 0.925 sensitivity.
7th International Conference on Biomedical Engineering and Biotechnology (iCBEB) --OCT 17-20, 2018 -- Nanjing, PEOPLES R CHINA; Birtane, Sibel (Arel Author) --- WOS: 000472616700007; PubMed ID: 31045527
2019-01-01T00:00:00Z
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OPCOMITS: Developing an Adaptive and Intelligent Web Based Educational System Based on Concept Map Model
https://hdl.handle.net/20.500.12294/1618
OPCOMITS: Developing an Adaptive and Intelligent Web Based Educational System Based on Concept Map Model
Doğan, Buket; Dikbıyık, Emrah
Concept 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.
Dikbıyık, Emrah (Arel Author)
2016-01-01T00:00:00Z
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Rule-based fuzzy classifier for spinal deformities
https://hdl.handle.net/20.500.12294/372
Rule-based fuzzy classifier for spinal deformities
Birtane, Sibel; Korkmaz, Hayriye
In this paper, 2-steps software using image processing and enhancement technologies is developed to obtain a scoliosis patient’s spine pattern from 2D coronal X-Ray images without manual land marking. Then, a Rule-based Fuzzy classifier is implemented on those images to classify the spine patterns using the King-Moe classification approach.
Birtane, Sibel (Arel Author)
2014-01-01T00:00:00Z