Karakaya, Kasım Murat

Profile Picture
Profile URL
https://hdl.handle.net/20.500.14411/8124
Name Variants
Karakaya, Murat
Karakaya, Kasım Murat
K., Kasim Murat
K.,Kasım Murat
Karakaya,K.M.
Kasim Murat, Karakaya
K., Karakaya
K.,Kasim Murat
Karakaya, Kasim Murat
Kasım Murat, Karakaya
K.M.Karakaya
K.,Karakaya
Karakaya,M.
Karakaya,M.
Job Title
Profesör Doktor
Email Address
murat.karakaya@atilim.edu.tr
Main Affiliation
Computer Engineering
Status
Former Staff
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID

Sustainable Development Goals

NO POVERTY1
NO POVERTY
0
Research Products
ZERO HUNGER2
ZERO HUNGER
0
Research Products
GOOD HEALTH AND WELL-BEING3
GOOD HEALTH AND WELL-BEING
1
Research Products
QUALITY EDUCATION4
QUALITY EDUCATION
0
Research Products
GENDER EQUALITY5
GENDER EQUALITY
0
Research Products
CLEAN WATER AND SANITATION6
CLEAN WATER AND SANITATION
0
Research Products
AFFORDABLE AND CLEAN ENERGY7
AFFORDABLE AND CLEAN ENERGY
1
Research Products
DECENT WORK AND ECONOMIC GROWTH8
DECENT WORK AND ECONOMIC GROWTH
0
Research Products
INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
0
Research Products
REDUCED INEQUALITIES10
REDUCED INEQUALITIES
0
Research Products
SUSTAINABLE CITIES AND COMMUNITIES11
SUSTAINABLE CITIES AND COMMUNITIES
4
Research Products
RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
0
Research Products
CLIMATE ACTION13
CLIMATE ACTION
0
Research Products
LIFE BELOW WATER14
LIFE BELOW WATER
0
Research Products
LIFE ON LAND15
LIFE ON LAND
0
Research Products
PEACE, JUSTICE AND STRONG INSTITUTIONS16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
Research Products
PARTNERSHIPS FOR THE GOALS17
PARTNERSHIPS FOR THE GOALS
0
Research Products
This researcher does not have a Scopus ID.
This researcher does not have a WoS ID.
Scholarly Output

44

Articles

20

Views / Downloads

148/417

Supervised MSc Theses

4

Supervised PhD Theses

0

WoS Citation Count

138

Scopus Citation Count

200

Patents

0

Projects

0

WoS Citations per Publication

3.14

Scopus Citations per Publication

4.55

Open Access Source

4

Supervised Theses

4

JournalCount
UBMK 2018 - 3rd International Conference on Computer Science and Engineering -- 3rd International Conference on Computer Science and Engineering, UBMK 2018 -- 20 September 2018 through 23 September 2018 -- Sarajevo -- 1435604
2017 IEEE 1st Ukraine Conference on Electrical and Computer Engineering, UKRCON 2017 - Proceedings -- 1st IEEE Ukraine Conference on Electrical and Computer Engineering, UKRCON 2017 -- 29 May 2017 through 2 June 2017 -- Kyiv -- 1317632
Proceedings - 6th International Conference on Computer Science and Engineering, UBMK 2021 -- 6th International Conference on Computer Science and Engineering, UBMK 2021 -- 15 September 2021 through 17 September 2021 -- Ankara -- 1768262
3rd International Conference on Computer Science and Engineering (UBMK) -- SEP 20-23, 2018 -- Sarajevo, BOSNIA & HERCEG2
1st International Informatics and Software Engineering Conference: Innovative Technologies for Digital Transformation, IISEC 2019 - Proceedings -- 1st International Informatics and Software Engineering Conference, IISEC 2019 -- 6 November 2019 through 7 November 2019 -- Ankara -- 1571112
Current Page: 1 / 5

Scopus Quartile Distribution

Competency Cloud

GCRIS Competency Cloud

Filters

2013 - 2019212020 - 20221
Reset filters

Settings

Author: Karakaya, MuratHas files: false

Scholarly Output Search Results

Now showing 1 - 10 of 22
  • Thumbnail Image
    Article
    Citation - WoS: 49
    Citation - Scopus: 69
    Deep Learning Based Fall Detection Using Smartwatches for Healthcare Applications
    (Elsevier Sci Ltd, 2022) Sengul, Gokhan; Karakaya, Murat; Misra, Sanjay; Abayomi-Alli, Olusola O.; Damasevicius, Robertas
    We implement a smart watch-based system to predict fall detection. We differentiate fall detection from four common daily activities: sitting, squatting, running, and walking. Moreover, we separate falling into falling from a chair and falling from a standing position. We develop a mobile application that collects the acceleration and gyroscope sensor data and transfers them to the cloud. In the cloud, we implement a deep learning algorithm to classify the activity according to the given classes. To increase the number of data samples available for training, we use the Bica cubic Hermite interpolation, which allows us to improve the accuracy of the neural network. The 38 statistical data features were calculated using the rolling update approach and used as input to the classifier. For activity classification, we have adopted the bi-directional long short-term memory (BiLSTM) neural network. The results demonstrate that our system can detect falling with an accuracy of 99.59% (using leave-one-activityout cross-validation) and 97.35% (using leave-one-subject-out cross-validation) considering all activities. When considering only binary classification (falling vs. all other activities), perfect accuracy is achieved.
  • Thumbnail Image
    Article
    Citation - WoS: 5
    Citation - Scopus: 7
    Deadline-Aware Energy-Efficient Query Scheduling in Wireless Sensor Networks With Mobile Sink
    (Hindawi Ltd, 2013) Karakaya, Murat
    Mobile sinks are proposed to save sensor energy spent for multihop communication in transferring data to a base station (sink) in Wireless Sensor Networks. Due to relative low speed of mobile sinks, these approaches are mostly suitable for delay-tolerant applications. In this paper, we study the design of a query scheduling algorithmfor query-based data gathering applications using mobile sinks. However, these kinds of applications are sensitive to delays due to specified query deadlines. Thus, the proposed scheduling algorithm aims to minimize the number of missed deadlines while keeping the level of energy consumption at the minimum.
  • Thumbnail Image
    Article
    Uçuş Menzili ve Hizmet Süresi Kısıtları Altında Çoklu İha Yönlendirme için Etkin Genetik Algoritma
    (2017) Karakaya, Murat; Sevinç, Ender
    Son zamanlarda gerek askeri gerekse sivil amaçlı İnsansız Hava Aracı (İHA) kullanımı giderek popülerlik kazanmaktadır. Ancak İHA'ların etkin kullanımı için gerekli Servis Kalitesi(QoS)'ni karşılaması için benimsenen yaklaşımlarının sınırlamaları vardır. İHA'lar arasındaki kıyaslamanın önemli sınırlarından biri de uçuş menzilidir. Çoğu zaman, İHA'ların, yeterli enerji kaynağı olmaması ve böylelikle nispeten kısa uçuş menzillerine sahip olmalarıdır. İlave olarak, İHA'ları kullanan uygulamalar için, verilen hizmet süresi zamanı içerisinde ziyaret edilmesi gereken pek çok nokta olabilir. Üstelik, uygulamalar tarafından yönlendirilecek İHA'ların sayısı da sınırlıdır. Bu nedenle, gerçek hayattaki uygulamalarda, önceden belirlenen zaman aralığı pencerelerinde daha fazla noktanın ziyaret edilmesi maksadıyla belirli bir uçuş menzili olan çok sayıda İHA için bir optimizasyon sorunu ile karşılaşılmaktadır. Bu problemde biz, kullanılan İHA sayısını en aza indirmek ve zaman aralığı içerisinde ziyaret edilecek nokta sayısını en üst düzeye çıkarmak istiyoruz. Bu nedenle, Genetik bir algoritma tasarladık ve çeşitli uçuş menzilleri, servis zaman aralıkları ve nokta ağ topolojileri için kapsamlı simülasyon testleri yoluyla etkinliğini doğruladık. Daha da ötesinde, tasarlanan algoritma ile arzu edilen başarıyı sağlayabilecek rakip bir algoritma ile de sonuçlar karşılaştırılmıştır.
  • Thumbnail Image
    Article
    Citation - WoS: 76
    Citation - Scopus: 91
    Efficient Route Planning for an Unmanned Air Vehicle Deployed on a Moving Carrier
    (Springer, 2016) Savuran, Halil; Karakaya, Murat
    Vehicle routing problem (VRP) is a constrained extension of the well-known traveling salesman problem (TSP). Emerging from the current conceptual trends in operations field, a new constraint to be included to the existing VRP parameters is the depot mobility. A practical example of such a problem is planning a route for an Unmanned air vehicle (UAV) deployed on a mobile platform to visit fixed targets. Furthermore, the range constraint of the UAV becomes another constraint within this sample case as well. In this paper, we define new VRP variants by introducing depot mobility (Mobile Depot VRP: MoDVRP) and extending it with capacity constraint (Capacitated MoDVRP: C-MoDVRP). As a sample use case, we study route planning for a UAV deployed on a moving carrier. To deal with the C-MoDVRP, we propose a Genetic Algorithm that is adapted to satisfy the constraints of depot mobility and range, while maximizing the number of targets visited by the UAV. To examine the success of our approach, we compare the individual performances of our proposed genetic operators with conventional ones and the performance of our overall solution with the Nearest Neighbor and Hill Climbing heuristics, on some well-known TSP benchmark problems, and receive successful results.
  • Thumbnail Image
    Article
    Determination and Identification of Dangerously Lane Changing Vehicles in Traffic by Image Processing Techniques
    (International Journal of Scientific Research in Information Systems and Engineering, 2017) Şengül, Gökhan; Karakaya, Murat; Bostan, Atila
    Due to increase of vehicle usage all around the world, the importance of safety driving in traffic is increasing. All of the countries around the world are taking actions to increase the safety driving habitats and decrease the number of traffic accidents. One of the applied precautions is to put necessary automatic auditing mechanisms into service for controlling the drivers as they drive since reckless drivers may not obey many traffic rules. In this study, image and video processing based methods are applied to identify the dangerously lane changing vehicles/drivers in the traffic. The proposed method focuses on to detect three different violations in traffic: the vehicles frequently changing traffic lanes, the vehicles changing lanes when it is forbidden, and the vehicles overtaking the other vehicles using the right lanes instead of left one. The proposed method is based on the image and video processing techniques. It first detects the vehicles in video sequences, then tracks the vehicles in the following frames and determines the lane changes of the vehicles. In the vehicle detection phase an image subtraction method is used. In the vehicle tracking phase, Kalman filtering tracking algorithm is used. After determining the lane changes of the vehicles/drivers, a rule based decision system is used to find out the vehicles/drivers improperly changing lanes and those vehicles are marked on the video. The proposed method is tested on the videos captured from real traffic environments and promising results are obtained.
  • Thumbnail Image
    Article
    A Wireless Control System Based on Smart Bluetooth and Ibeacon Technology for Auditing the Patrols
    (International Journal of Scientific Research in Information Systems and Engineering, 2016) Karakaya, Murat; Şengül, Gökhan; Bostan, Atila
    Patrol systems are used as a method of ensuring security and protection of large areas and facilities such as university campuses, military zones, etc. In general, security personnel assigned to the patrol system visit the pre-determined checkpoints at regular intervals and are obliged to make the safety control of these locations. Security personnel (guards) are also audited to check if they covered all the essential control points on time or not. In recent years, considering energy efficiency, new Bluetooth devices and protocols are designed and produced. One of the most popular low-energy Bluetooth protocols is Smart Bluetooth (version 4.0). In this work, we integrated mobile devices (smart phone or tablet) with IBeacons. IBeacons are devices emitting beacons using Smart Bluetooth signals. Since Smart Bluetooth consumes low energy, these devices are small in size, have long life durations and very cheap. In this work, we propose and implement a new system to record the patrol officers’ movements in the subject areas. At the proposed system, IBeacons are first deployed in the monitoring areas. The location and the identification of the deployed IBeacon are stored in a central database. We developed a mobile application for Android devices which can scan the environment for IBeacon signals. The mobile application collects the sensed IBeacon IDs, stamps it with a time tag and uploads it along with the mobile device ID to the central database. Using these records, we can monitor the movements of the security guards. We have also developed a web application to generate an executive summary report from these records.
  • Thumbnail Image
    Article
    Using Bluetooth Low Energy Beacons for Indoor Localization
    (International Journal of Intelligent Systems and Applications in Engineering, 2017) Şengül, Gökhan; Karakaya, Murat
    Bluetooth Low Energy (BLE) Beacons gain high popularity due to their low consumption of energy and, thereby, long lifetime. Using the BLE protocol, these devices emit advertisement packets at fixed intervals for a short duration. Indoor localization solutions aim to provide an accurate, low cost estimate of sub-room indoor positioning. There are various techniques proposed for this purpose. BLE Beacons are good hardware candidates to assist the creation of such indoor localization solutions. Given the exact position of BLE Beacons, one can attempt to estimate a receiver position according to the received signal power. In this work, we investigated the success of such an indoor localization approach employing multiple BLE Beacons and two different estimation techniques. The results of the experiments indicate that employing multiple BLE Beacons increases the success of prediction techniques considerably.
  • Thumbnail Image
    Article
    A Smart Classroom Application: Monitoring and Reporting Attendance Automatically Using Smart Devices
    (International Journal of Scientific Research in Information Systems and Engineering, 2017) Şengül, Gökhan; Karakaya, Murat; Bostan, Atila
    For recording attendance in a classroom, generally instructors collect signatures of the attendees. Then, at the end of the semester, those signatures need to be counted and reported. This process causes waste of time and effort for both instructors and attendees. Besides this process is very error prone. Moreover, in crowded classes, there could be some misuses of this process. In this study, a smart classroom application is proposed and developed in order to monitor the attendance of the students in a classroom environment. In the design, a low-energy Bluetooth device is located at each classroom. Identification number (ID) of the low-energy Bluetooth device and the name/number of the classroom that the device is located are matched and stored in a central database. In addition to this information, the name of the courses given in that classroom and their time tables are also stored in the central database. Thus, in the database, the weekly course schedule of the classrooms is available. In addition to this central database infrastructure, a mobile application is developed that can run on both in mobile phones and smart watches. The users first install the application on their own smart devices. Whenever an attendee enters to a classroom, the smart device and its application interacts with the low-energy Bluetooth device. The student’s identification number (Student ID: SID), the identification number (ID) of the low-energy Bluetooth device located at the class, the day and time of the interaction are sent to the central database by the smart device. Using this information, the name of the attendee and the courses that he/she attended are matched using the SID of the attendee, the ID of the low-energy Bluetooth device, the day and time of the interaction. Those matching information are also stored in the central database. The records in the central database are used to create any automatic reports, i.e. the attendance status, the time and duration of the attendance, and the classroom (course) of the record. The advantage of the proposed system is that it is a fully automatic system that records the presence of the students, generates automatic attendance reports, does not require any extra device except installing a mobile application onto smart phones or smart watches of the student, and can be deployed with a low budget. The proposed system is tested in real classroom environment and it is proven to be operational.
  • Thumbnail Image
    Article
    Öğrenci Ders Devamının Sınavlarda Alınan Notlara Etkisi Üzerine Bir Durum Çalışması
    (Mersin Üniversitesi Eğitim Fakültesi Dergisi, 2016) Bostan, Atila; Karakaya, Murat
    Üniversite eğitimde öğrencilerin derslere devam mecburiyetinin olup olmaması, okuldan okula değişebileceği gibi aynı okul içinde verilen dersler arasında da farklılıklar göstermektedir. Öğrencilerin derse devam etmesiyle, dönem sonucu elde ettiği ders başarısı arasında olumlu bir ilişki olup olmadığı önemli bir araştırma konusu olmuştur. Bu konuda yapılan çalışmaların önemli bir bölümünde, dersteki başarı kriteri olarak dönem sonu başarı notu esas alınmış ve yapılan çalışmaların çoğunluğunda iki olgu arasında olumlu bir ilişki gözlemlenmiştir. Bunun sonucu olarak da, çalışmaların sonuç bölümlerinde öğrencilerin derslere devam etmelerinin sağlanması ve devamlarının artırılması tavsiye edilmiştir. Ancak, çok az çalışmada bu tedbirin gerçek hayata nasıl geçirilebileceği ile ilgili önerilerde bulunulmuştur. Diğer taraftan bu önerilerin ders devamını veya başarıyı artırmakta etkisi genellikle ölçülmemiştir. Derse devam durumunun artırılması için önerilen yöntemlerin çoğu, idari tedbirlerle öğrencileri derse devam etmeye zorlamayı içermektedir. Halbuki, ders devamından beklenen faydanın sağlanabilmesi için; öğrencinin bir zorunluluktan ziyade, öğrenme sürecinin bir parçası olarak derse devam etmeye teşvik edilmesi önemlidir. Bu çalışmada; ders devamı ile sınav notu arasındaki ilişki hem dönem sonu sınav notu hem de dönem içerisinde yapılan ara sınavlar dikkate alınarak incelenmiştir. Böylelikle öğrencinin devam durumu ile sınavlar arasında ilişkiyi gözlemlemek mümkün olmuştur. Ayrıca, ders işleme yönteminde yapılan bir değişikliğin, ders devamına ve öğrencinin notuna olan etkisi de bu kapsamda değerlendirilmiştir. Böylelikle, derse devam ile alınan notlar arasındaki ilişki üzerinde ders işleme yönteminin etkisi de izlenebilmiştir. Bu yönleriyle makalede sunulan çalışma, yazımda var olan yayınlardan farklılaşmaktadır.
  • Thumbnail Image
    Article
    Citation - Scopus: 1
    Analyzing Students' Academic Success in Pre-requisite Course Chains: A Case Study in Turkey
    (Tempus Publications, 2018) Karakaya, Murat; Eryilmaz, Meltem; Ceyhan, Ulas; Computer Engineering
    There are several principles which have been accepted as approaches to successful curriculum development. In spite of the differences in the proposed sequencing of topics, all approaches basically depend on the pre-requisite chains to implement their educational approach in the curriculum development for specifying the order of the subjects. In this research, two prerequisite chains representing two different curriculum development approaches are taken into consideration in a case study. The first research question considered is whether academic success in a follow-up course is positively related to success attained in the pre-requisite course. The second one is whether or not the selected curriculum development approach for deciding the chains has a significant impact on the academic success relationships between a pre-requisite and its follow-up course. To answer these questions, course data of 441 undergraduate students who graduated from the Atilim University between Fall 2001 and Spring 2015 semesters were collected and analyzed. The results indicate that the succes levels gained in a pre-requisite and its follow-up course are corelated. Moreover, different cirriculum development methods can affect this corelation. Thus, cirriculum developers should consider appropriate approaches to improve student success for deciding chaining courses and their contents.