Tolun, Mehmet Reşit
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Tolun, Mehmet
Tolun, Mehmet Resit
Tolun, Mehmet R.
Tolun, M.R.
Tolun, Mehmet Resit
Tolun, Mehmet R.
Tolun, M.R.
Job Title
Prof. Dr.
Email Address
tolun@cankaya.edu.tr
Main Affiliation
Yazılım Mühendisliği
Status
Current Staff
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ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
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Sustainable Development Goals
1NO POVERTY
0
Research Products
2ZERO HUNGER
0
Research Products
3GOOD HEALTH AND WELL-BEING
3
Research Products
4QUALITY EDUCATION
0
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5GENDER EQUALITY
0
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6CLEAN WATER AND SANITATION
0
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7AFFORDABLE AND CLEAN ENERGY
1
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8DECENT WORK AND ECONOMIC GROWTH
0
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9INDUSTRY, INNOVATION AND INFRASTRUCTURE
1
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10REDUCED INEQUALITIES
0
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11SUSTAINABLE CITIES AND COMMUNITIES
1
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12RESPONSIBLE CONSUMPTION AND PRODUCTION
0
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13CLIMATE ACTION
1
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14LIFE BELOW WATER
0
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15LIFE ON LAND
0
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16PEACE, JUSTICE AND STRONG INSTITUTIONS
0
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17PARTNERSHIPS FOR THE GOALS
1
Research Products
Documents
43
Citations
389
h-index
7
Documents
35
Citations
281
Scholarly Output
40
Articles
13
Views / Downloads
3953/2401
Supervised MSc Theses
3
Supervised PhD Theses
0
WoS Citation Count
136
Scopus Citation Count
190
Patents
0
Projects
0
WoS Citations per Publication
3.40
Scopus Citations per Publication
4.75
Open Access Source
6
Supervised Theses
3
| Journal | Count |
|---|---|
| Journal of Medical Systems | 2 |
| 1st International Conference on Advances in Multimedia -- JUL 20-25, 2009 -- Colmar, FRANCE | 1 |
| 1st International Conference on Electronic Healthcare -- SEP 08-09, 2008-2009 -- London, ENGLAND | 1 |
| 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009 -- 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009 -- 31 March 2009 through 2 April 2009 -- Los Angeles, CA -- 78368 | 1 |
| 2015 10th International Conference on Information, Communications and Signal Processing (ICICS) | 1 |
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40 results
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Now showing 1 - 10 of 40
Conference Object Citation - Scopus: 3Scalable Video Transmission Over Unreliable Networks Using Multiple Description Wavelet Coding(2011) Choupanı, Roya; Choupany, R.; Wong, S.; Tolun, M.; Bilgisayar MühendisliğiScalable video coding (SVC) and multiple description coding (MDC) are the two different adaptation schemes for video transmission over heterogenous and best-effort networks such as the Internet. We present a new approach to combine the advantages of SVC and MDC to provide reliable video communication over a wider range of communication networks and/or satisfy application requirements. Our proposed method utilizes 3D discrete wavelet transform and a modified embedded zero tree data structure to group the coefficients in different descriptions. The proposed method reduces the impact of the drift error by organizing the frames in a hierarchical structure. © 2011 AICIT.Conference Object Bilgi Biliminin Mühendislik Gereksinimi ve Bilgi Mühendisliği(2009) Medeni, İhsan Tolga; Aktaş, A. Ziya; Tolun, Mehmet R.Yirminci yüzyılın ikinci yarısında bilgisayar, bilgi ve iletişim teknolojilerindeki gelişmeler bilgiye dayalı yeni bilim ve mühendislik disiplinleri oluşturma ihtiyacını doğurmuştur. Bu ihtiyaç nedeniyle doğan yeni bilim ve mühendislik disiplinlerinin gelişiminin aslında (veri, enformasyon ve bilgi ) üçlüsüne yönelik oluşumlar olduğu gözlemlenmektedir.Bu makalede bilgi sözcüğü bu üçlü için genel bir ad olarak kullanılacaktır. Bilgi disiplini bir taraftan, bu üçlü arasındaki bağların örgütler ve bireyler açısından ortaya koyulmasını amaçlar; açık ve örtük bilginin birbirine dönüşümünü sağlamaya çalışırken, diğer taraftan da ortaya çıkan yeni dallar ve var olan dalların bilgi temelli ilişkisini kurmaya yönelik çalışmalar yapmaktadır. Bu üçlünün ve bilgi disiplininin bilim / mühendislik, işletme / yönetim disiplinleriyle olan ilişkisi ve oluşturulacak bir bilgi mühendisliği lisans programının bu kavramlarla olabilecek ilgisi bu bildirinin konusudur.Article Yazılım süreç iyileştirmede CASE aracı kullanımının CMMI süreç yönetimi kategorisi açısından değerlendirilmesi(Çankaya Üniversitesi, 2010) Fidanboy, Cemalettin Öcal; Tolun, Mehmet R.Yazılım mühendisliğinin bilgi alanlarından biri olan yazılım kalitesinin belirlenmesi için temel oluşturan model ve standartlar her geçen gün değer kazanmaktadır. Yazılım kalitesini belirleyen temel unsurlar; yazılım süreçlerinin kuruluş ihtiyaçlarına uygun olarak belirlenmesi, yönetilmesi ve sistematik olarak iyileştirilmesidir. Uluslararası yazılım süreç iyileştirme model ve standartları temel alındığında, yazılım geliştirme projelerinin yüksek kalite düzeylerine ulaşması, projelerin istenen sürede ve en uygun maliyette tamamlanması mümkün olmaktadır. Bütünleşik Yetenek Olgunluk Modeli (CMMI), yazılım geliştirme, bakım ve süreç iyileştirme konularında, en iyi yönetim uygulamalarının birleştirilmesi sonucu oluşturulan önemli modellerden birisidir. Yazılım süreç iyileştirme, çalışmalarında CASE (bilgisayar destekli yazılım mühendisliği) araçlarının kullanılması; süreç iyileştirme sisteminin verimli bir şekilde kurgulanması, etkin bir konfigürasyon yönetiminin sağlanması ve sağlam bir metrik altyapısının kurulması açısından önemli faydalar sağlamaktadır. Bu makalede, öncelikli olarak CMMI Süreç Yönetimi kategorisinde yer alan ve kurumsal süreç iyileştirme uygulamalarını hedefleyen Kurumsal Süreç Tanımı ile Kurumsal Süreç Odaklanması Süreç alanları tanıtılmaktadır. Aynı zamanda, CMMI Süreç Yönetimi kategorisi kapsamında CASE aracı kullanımına yönelik örnekler verilmektedir. Ek olarak, CASE aracı kullanımının yazılım süreç iyileştirme uygulamalarına etkisini ortaya çıkarmak üzere yapılan bir kullanıcı anketine ilişkin sonuçlar sunulmakta ve bahsi geçen konularda CMMI modeli açısından değerlendirme yapılmaktadır.Article Citation - WoS: 7Citation - Scopus: 10Prediction of Similarities Among Rheumatic Diseases(Springer, 2012) Ceken, Cinar; Hassanpour, Reza; Tolun, Mehmet Resit; Yildirim, PinarWe introduce a method for extracting hidden patterns seen in rheumatic diseases by using articles from the widely used biomedical database MEDLINE. Rheumatic diseases affect hundreds of millions of people worldwide and lead to substantial loss of functioning and mobility. Diagnosing rheumatic diseases can be difficult because some symptoms are common to many of them. We use Facta system as a biomedical text mining tool for finding symptoms and then create a dataset with the frequencies of symptoms for each disease and apply hierarchical clustering analysis to find similarities between diseases. Clustering analysis yields four distinct types or groups of rheumatic diseases. Although our results cannot remove all the uncertainty for the diagnosis of rheumatic diseases, we believe they can contribute to the diagnosis of rheumatic diseases to a certain extent. We hope that some similarities exposed can provide additional information at the stage of decision-making.Article Citation - WoS: 4Citation - Scopus: 7Multiple Description Coding for Snr Scalable Video Transmission Over Unreliable Networks(Springer, 2014) Choupani, Roya; Wong, Stephan; Tolun, MehmetStreaming multimedia data on best-effort networks such as the Internet requires measures against bandwidth fluctuations and frame loss. Multiple Description Coding (MDC) methods are used to overcome the jitter and delay problems arising from frame losses by making the transmitted data more error resilient. Meanwhile, varying characteristics of receiving devices require adaptation of video data. Data transmission in multiple descriptions provides the feasibility of receiving it partially and hence having a scalable and adaptive video. In this paper, a new method based on integrating MDC and signal-to-noise ratio (SNR) scalable video coding algorithms is proposed. Our method introduces a transform on data to permit transmitting them using independent descriptions. Our results indicate that on average 1.71dB reduction in terms of Y-PSNR occurs if only one description is received.Conference Object Expert System for Access Telecommunication Networks(2009) Şahin, S.; Tolun, M.R.; Baykal, Y.Access telecommunication systems are categorized as digital subscriber line (xDSL), fiber-to-the-home (FTTH), hybrid fiber-coaxial (HFC), power line systems, local multipoint distribution system (LMDS), free space optics (FSO), satellite and worldwide interoperability for microwave access (WIMAX) systems. Basic specifications, such as the rate of information for upstream and downstream, access link length, frequency licence requirement for these access telecommunication networks are defined. Expert system analysis is applied to find out the possible systems that can be employed among the abovementioned choices of access telecommunication within the user defined inputs describing the requirements of the end user. The rule-based structure of the expert system is formed by using the Exsys expert system development tool. © 2008 IEEE.Publication Clustering Analysis for Vasculitic Diseases(Springer-Verlag Berlin, 2010) Yıldırım, Pınar; Çeken, Çınar; Çeken, Kağan; Tolun, Mehmet R.We introduce knowledge discovery for vasculitic diseases in this paper. Vasculitic diseases affect some organs and tissues and diagnosing can be quite difficult. Biomedical literature can contain hidden and useful knowledge for biomedical research and we develop a study based on co-occurrence analysis by using the articles in MEDLINE which is a widely used database. The mostly seen vasculitic diseases are selected to explore hidden patterns. We select PolySearch system as a web based biomedical text mining tool to find organs and tissues in the articles and create two separate datasets with their frequencies for each disease. After forming these datasets, we apply hierarchical clustering analysis to find similarities between the diseases. Clustering analysis reveals some similarities between diseases. We think that the results of clustered diseases positively affect on the medical research of vasculitic diseases especially during the diagnosis and certain similarities can provide different views to medical specialists.Article Citation - WoS: 2Citation - Scopus: 4An Intelligent System for Detecting Mediterranean Fruit Fly [Medfly; Ceratitis Capitata (Wiedemann)](Pagepress Publ, 2022) Eyyuboglu, Halil Tanyer; Sari, Filiz; Uzun, Yusuf; Tolun, Mehmet ResitNowadays, the most critical agriculture-related problem is the harm caused to fruit, vegetable, nut, and flower crops by harmful pests, particularly the Mediterranean fruit fly, Ceratitis capitata, named Medfly. Medfly's existence in agricultural fields must be monitored systematically for effective combat against it. Special traps are utilised in the field to catch Medflies which will reveal their presence and applying pesticides at the right time will help reduce their population. A technologically supported automated remote monitoring system should eliminate frequent site visits as a more economical solution. This paper develops a deep learning system that can detect Medfly images on a picture and count their numbers. A particular trap equipped with an integrated camera that can take photos of the sticky band where Medflies are caught daily is utilised. Obtained pictures are then transmitted by an electronic circuit containing a SIM card to the central server where the object detection algorithm runs. This study employs a faster region-based convolutional neural network (Faster R-CNN) model in identifying trapped Medflies. When Medflies or other insects stick on the trap's sticky band, they spend extraordinary effort trying to release themselves in a panic until they die. Therefore, their shape is badly distorted as their bodies, wings, and legs are buckled. The challenge is that the deep learning system should detect these Medflies of distorted shape with high accuracy. Therefore, it is crucial to utilise pictures containing trapped Medfly images with distorted shapes for training and validation. In this paper, the success rate in identifying Medflies when other insects are also present is approximately 94%, achieved by the deep learning system training process, owing to the considerable amount of purpose-specific photographic data. This rate may be seen as quite favourable when compared to the success rates provided in the literature.Article Citation - Scopus: 2Damage Detection in Aircraft Engine Borescope Inspection Using Deep Learning(Springer Science and Business Media Deutschland GmbH, 2025) Uzun, I.; Tolun, M.R.; Sari, F.; Alpaslan, F.N.Aircraft engine inspection is a key pillar of aviation safety as it helps to maintain adequate performance standards to ensure engine airworthiness. In addition, it is also vital for asset value retention. Borescope inspection is currently the most widely used visual inspection method for aircraft engines. However, borescope inspection is a time-consuming, subjective, and complex process that heavily depends on the experience and attention level of the inspector. Moreover, the cost savings of airlines and the maintenance, repair, and overhaul (MRO) centers expose pressure and workload on inspectors. These factors make an automated system to support damage detection during borescope inspection necessary in order to mitigate potential risks. In this paper, we propose a deep learning-based automated damage detection framework that employs aircraft engine borescope inspection images. Faster R-CNN-based deep learning model with Inception v2 feature extractor is utilized for the present architecture. Due to the limited number of images, data augmentation and other overfitting methods are also employed. The framework supports crack, burn, nick, and dent damage types across all modules of turbofan engines. It is trained and validated with moderate to complex borescope images obtained from the field. The framework achieves 92.64% accuracy for crack, 92.05% for nick or dent, and 81.14% for burn damage classes, with an overall 88.61% average accuracy. © The Author(s) 2025.Conference Object Citation - Scopus: 1Component-Based Project Estimation Issues for Recursive Development(Springer, 2008) Altunel, Yusuf; Tolun, Mehmet R.In this paper we investigated the component-based specific issues that might affect project cost estimation. Component-based software development changes the style of software production. With component-based approach the software is developed as the composition of reusable software components. Each component production process must be treated as a stand-alone software project, which needs individual task of management. A typical pure component-based development can be considered as decomposition/integration activities successively applied at different levels and therefore results in recursive style of development. We analyzed and presented our results of studies on the component-based software development estimation issues from recursive point of view.
