Ahmet Sayar

• Ph.D.
• Professor at Kocaeli University

As the variety of cosmetic products increases day by day, the controllability of their ingredients decreases. It is becoming difficult for users to obtain information about the potential risks of the products they purchase. The main reasons for this are that ingredients that can cause health problems, such as allergens and harmful chemicals in cosm...

Due to the rapidly increasing number of vehicles and urbanization, the use of parking spaces on the streets has increased significantly. Many studies have been carried out on the determination of parking spaces by using the lines in the parking areas. However, the usage areas of this method are very limited since these lines are not found in every...

Vehicle tracking and license plate recognition (LPR) over video surveillance cameras are essential intelligent traffic monitoring systems. Due to the enormous amount of data collected each day, it would be difficult to track vehicles by license plate in a real-world traffic setting. Large volumes of data processing, real-time request responses, and...

Automated code generation and process flow management are central to web-based application development today. This database-centric approach targets the form and process management challenges faced by corporate companies. It minimizes the time losses caused by managing hundreds of forms and processes, especially in large companies. Shortening devel...

With the corona virus pandemic, social contact has been kept to a minimum, and education in schools can be carried out remotely. As a result of this, the concept of distance education has gained importance. In this study, natural language processing (NLP) and its effects on distance education are discussed, and by using NLP, a topic classification...

Microsoft PowerShell is a new generation command line application that comes installed on Windows machines by default. It provides an environment for programmers, system administrators, and software developers to directly access and use the .NET framework and the features provided by the Windows operating system. It has an important place in the Wi...

Traffic accidents have dramatically grown in recent years as a result of an increase in the number of vehicles. The driver’s speed is one of the main contributors to these collisions since it is inappropriate for the traffic and road conditions. To stop driver infractions, numerous safety measures have been implemented. Today, radar equipment and c...

Nearly 80% of the information in the healthcare sector is unstructured data, and this percentage is steadily rising. Traditional relational database solutions are not effective for the analysis and querying of that type of data. For the purpose of searching and analyzing unstructured clinical data, we provide a distributed and scalable big data sys...

The digitization of receipts and invoices, and the recording of expenses in industry and accounting have begun to be used in the field of finance tracking. However, 100%success in character recognition for document digitization has not yet been achieved. In this study, a new Optical Character Recognition (OCR) engine called Nacsoft OCR was develope...

Artificial Intelligence (AI) technologies are now widely employed to overcome human-induced faults in a variety of systems used in our daily lives, thanks to the digital transformation.One example of such systems is online document tracking systems (DTS). The DTS’s reliability and preferability are enhanced by automatic document classification and...

The digitalization era has brought digital documents with it, and the classification of document images has become an important need as in classical text documents. Document images, in which text documents are stored as images, contain both text and visual features, unlike images. Therefore, it is possible to use both text and visual features while...

Digital image processing has been widely used in many applications in various science domains. Detection, recognition, extraction and tracking of an object can be given as examples of such applications on 2D images. In this study, we present an approach to predict the size of a wall in terms of width and height, on 2D images by using a reference ob...

While technology facilitates our lives, it also allows us to lead a quality, efficient energy and to do more productive work in less time. One of our basic needs that takes our time is to eat. One of the problems people face is, ‘‘What can I cook today?’’ It is the question. The Smart Recipe Suggestion System (SRSS) is a system that can make food r...

The Coronavirus, also known as COVID-19, initially surfaced in Wuhan, China, in December of 2019. The virus was one of the most widely discussed subjects on social media. As a result, these social media sources are exposed to and present a variety of viewpoints, beliefs, and feelings. Big data is a significant resource for computer scientists and s...

The Internet of Things (IoT) is the concept of connecting the electronic objects we use in our daily lives to the Internet and allowing them to communicate with one another. These devices can collect a large amount of data, monitor objects, reduce workload, and boost efficiency by saving resources. All of these scenarios highlight the significance...

IoT is becoming ubiquitous in industry, homes, cities, literally in every aspect of our daily lives. Securing IoT-based systems is difficult because of deficiencies in the very nature of IoT devices such as limited battery power, processing, and storage, etc. Blockchain is a new approach used to securely record transactions and offers potential sol...

This study provides a method for determining the location information from a photograph taken by an Unmanned Aerial Vehicle (UAV). In today's defense industry, the goal is to design a reliable navigation system that can operate even when the Internet and GPS systems are unavailable. In the proposed system, it is expected that there is an image data...

In today's industrial and academic research area, the publish/subscribe (pub/sub) communication paradigm is gaining attention. Due to its capacity to decouple communication entities in time, space, and synchronization, it is a useful interaction mechanism for large-scale distributed systems. Rather than interacting directly with one another, servic...

Satellite mosaic images are of huge sizes and, therefore, the stitching process becomes time- and resource-consuming. To overcome this challenge, we propose a MapReduce-based distributed and scalable image stitching framework. In this framework, we first convert all raster images to binary format. Each binary image is compared with other images usi...

Logistic companies rely on heavily Vehicle Tracking Systems (VTS) to provide instant and valuable data about the vehicle’s condition, the cargoes’ statuses, and the trips. The data that is collected from the vehicles and drivers are generally not fully utilized to its full potential other than day-to-day business activities because of the difficult...

Digital document collections have been created with the transfer of a large number of documents to digital media. These digital archives have provided many benefits to users. As the diversity and size of digital image collections have grown exponentially, it has become increasingly important and difficult to obtain the desired image from them. The...

The work presented in this paper proposes a novel approach to tracking a specific vehicle over the video streams published by the collaborating traffic surveillance cameras. In recent years, smart, effective transportation systems and intelligent traffic management applications are among the topics that have been given importance by various institu...

In order for traffic management and information systems to provide proper traffic flow, it is necessary to obtain information about traffic with the help of various sensors. In this context, in recent years the use of video cameras in traffic observation and control has become very widespread and actively used. Numerous studies such as license plat...

As autonomous cars and complex features of them grow in popularity, ensuring that analyses and capabilities are reproducible and repeatable has taken on importance in education plans too. This paper describes a reproducible research plan on mini autonomous race car programming. This educational plan is designed and implemented as part of a summer i...

With respect to the mass categorization that is central to most computer operations, there are two types of relevant data which affect speed of assimilation as well as information recall: structured data and unstructured data. Structured data refers to information with a high degree of organization, such that inclusion in a relational database. How...

Video processing techniques are used in research areas about traffic for many purposes such as measuring traffic density, crash detection, vehicle classification and counting. To control the traffic flow and create a safer environment, vehicle detection, tracking, security lane and wrong way violation detection is achieved with the developed system...

This paper proposes a new approach to solving the scalability problem in stitching and registration of satellite images. The image stitching process is mostly utilized to capture an image of an entire object, whose parts fall in separate but overlapping mosaics. Due to their high resolutions and huge sizes, the stitching of satellite mosaic images...

The polygon covering problem is an important class of problems in the area of computational geometry. There are slightly different versions of this problem depending on the types of polygons to be addressed. In this paper, we focus on finding an answer to a question of whether an orthogonal rectangle, or spatial query window, is fully covered by a...

Advanced driving assistance systems (ADAS) could perform basic object detection and classification to alert drivers for road conditions, vehicle speed regulation, and etc. With the advances in the new hardware and software platforms, deep learning has been used in ADAS technologies. Traffic signs are an important part of road infrastructure. So, it...

Seismology, which is a sub-branch of geophysics, is one of the fields in which data mining methods can be effectively applied. In this chapter, employing data mining techniques on multivariate seismic data, decomposition of non-spatial variable is done. Then k-means clustering, density-based spatial clustering of applications with noise (DBSCAN), a...

Bu çalışmanın amacı farklı DNA örneklerindeki dizilimlerin benzerlik oranını hesaplamaktır. DNA verilerinin büyüklüklerinin getirdiği işlem hacmini kısaltmak ve performansı arttırmak için,DNA dizileri sıkıştırılıp motif çıkarımı yapıldı. Bunun için LZ Sıkıştırma algoritması kullanıldı. Elde edilen motiflerden her biri sadece bir graf düğümünü ifade...

In the last decade, usage of personal smartphones has tremendously increased. Almost everyone is using cell phones, which are communicating with location-aware devices. A large amount of trajectory data is produced from these devices and can be used for information services. One of the key elements in the mining of GPS or mobility data is the stay...

Carbide volume fraction and size distribution in 100cr6 steel has been studied using experimental and computational methods. Industrial production cycle of bearing steels includes spheroidization and hardening steps results with coarse globular carbides in martensitic matrix. It is well known that coarse precipitates adversely effects fatigue stren...

Çalışma genelinde büyük graf eşleşmesi için hızlı bir yaklaşık eşleme algoritması olarak önerilen Fast Projected Fixed-Point (FastPFP) algoritması incelenmeye çalışılmıştır. Çalışma sırasında algoritma testi için gerekli olan verinin elde edilmesi aşamasında görüntü işleme kullanılmıştır. Görüntü işleme adımları da ayrıntılı olarak ele alınmıştır....

zet. Otel rezervasyon yöntemleri gelişen teknoloji ile birlikte sürekli yenilenmektedir. Rezervasyonda en önemli problem kullanıcıların en az para ile en çok memnuniyet verebilecek otellerin tespitidir. Bu tür problemlerin çözümünde son yıllarda gelişen makine öğrenmesi tekniklerinin kullanıldığı görülmektedir. Ancak mevcut sistemler, statik yapıda...

zet. Görme engelliler hayatta birçok zorlukla karşılaşmaktadır. Kamuoyunda birçok kurum ve kuruluş bu engelleri aşmak için çalışmalar yapsa da maalesef bazı sorunlar hala çözüme kavuşturulmamıştır. Bunlardan birisi de görme engellilerin kaybettikleri veya o an yerini tam kestiremedikleri eşyaları bulamamasıdır. Geliştirilen uygulama mobil cihazlar...

Processing and analyzing of massive clinical data are resource intensive and time consuming with traditional analytic tools. Electroencephalogram (EEG) is one of the major technologies in detecting and diagnosing various brain disorders, and produces huge volume big data to process. In this study, we propose a big data framework to diagnose sleep d...

Vectorization process focus on grouping pixels of a raster image into raw line segments, and forming lines, polylines or poligons. To vectorize massive raster images regarding resource and performane problems, weuse a distributed HIPI image processing interface based on MapReduce approach. Apache Hadoop is placed at the core of the framework. To re...

We propose a framework stitching of vector representations of large scale raster mosaic images in distributed computing model. In this way, the negative effect of the lack of resources of the central system and scalability problem can be eliminated. The product obtained by this study can be used in applications requiring spatial and temporal analys...

In this study we present a two-step map/reduce framework to stitch satellite mosaic images. The proposed system enable recognition and extraction of objects whose parts falling in separate satellite mosaic images. However this is a time and resource consuming process. The major aim of the study is improving the performance of the image stitching pr...

In this paper, we propose distributed feature extraction tool from high spatial resolution remote sensing images. Tool is based on Apache Hadoop framework and Hadoop Image Processing Interface. Two corner detection (Harris and Shi-Tomasi) algorithms and five feature descriptors (SIFT, SURF, FAST, BRIEF, and ORB) are considered. Robustness of the to...

Transport is an important area for urban policies. Urban transport and independent urban mobility. It is very important in providing social and economic opportunities. Accessibility is a driving factor for urban and social development. An accessible urban transportation infrastructure and system for all will enable all individuals in the city to ac...

Safe autonomous vehicle steering is one of the most difficult aspects of an artificial intelligence system. Therefore, researchers have concentrated on training deep network models from front-facing camera data synchronized with the steering angles. In this study, three different end-to-end deep learning models are developed and the success of thes...

Intelligent traffic management systems needs to obtain information about traffic with different sensors to control the traffic flow properly. Traffic surveillance videos are very actively used for this purpose. In this paper, we firstly create a vehicle dataset from an uncalibrated camera. Then, we test Tiny-YOLO real-time object detection and clas...

Örüntü tanıma psikolojiden biyometriye, biyoenformatikten gen ifadelerinin analizine, trafikten hesaplamalı finansa kadar birçok alanda kullanılmaktadır. Optik Karakter Tanıma da bu alanlardan bir tanesidir. Kamu ve özel birçok firma, arşivlerindeki klasörlenmiş verilerini taratarak dijital hale getirmekte ve bunun için emek yoğun çalışmalar yapmak...

In this study we present a two-step map/reduce framework to stitch satellite mosaic images. The proposed system enable recognition and extraction of objects whose parts falling in separate satellite mosaic images. However this is a time and resource consuming process. The major aim of the study is improving the performance of the image stitching pr...

In this paper, we propose distributed feature extraction tool from high spatial resolution remote sensing images. Tool is based on Apache Hadoop framework and Hadoop Image Processing Interface. Two corner detection (Harris and Shi-Tomasi) algorithms and five feature descriptors (SIFT, SURF, FAST, BRIEF, and ORB) are considered. Robustness of the to...

Video gözetimi; güvenlik, kolluk kuvvetleri ve trafik izleme gibi önemli uygulama alanlarına sahiptir. Araçların tespiti ve sınıflandırılması, AUS'de kullanılabilen trafik istatistiklerinin ve değerli bilgilerin toplanmasında yardımcı olur. Bu çalışmada, gerçek zamanlı araç sınıflandırmasını inceledik ve YOLO gerçek zamanlı nesne sınıflandırma çerç...

Cyber security is the major concern in today’s highly networked environment and logging is the primary way of tracking compliance with the security policies. However analyzing the massive amount of logs has become a “Big Data” problem. Apache Spark is one of the latest and most notable incarnation of Data Flow Models in cluster computing. In terms...

Vektörleştirme, piksel formdaki raster görüntülerin çizgi segmentlerine, çoklu çizgi ve poligon formuna dönüştürmeye odaklanmaktadır. Kaynak ve performans problemleri dikkate alınarak çok sayıda raster görüntüyü vektörleştirmek için MapReduce tabanlı HIPI görüntü işleme dağıtık büyük veri arayüzü kullanılmıştır. Apache Hadoop bu çatının çekirdeğind...

Nokta seti şablonu eşleştirmesi, bilgisayarla görü ve şablon tanıma alanlarında önemli konulardandır. Nokta seti şablonu eşleştirmedeki ana amaç, aynı sahnenin iki görüntüsündeki noktaları eşleştirmektir. Bu çalışmada vektör hale getirilmiş (noktalarla ifade edilen) aynı sahneyi paylaşan görüntülerdeki noktaların eşleştirilmesi MapReduce programlam...

Traffic management and information systems need to obtain information about traffic with various sensors to control the traffic flow properly. In this context, videos are very actively used in traffic surveillance and control in recent years. With the help of image processing based video surveillance system in traffic management systems, many studi...

Traffic surveillance cameras are widely used in traffic management and information systems. Processing streaming media in real time is resource and time-consuming processes and even impossible to realize in most real-world applications. To overcome the performance problems in such applications, this article introduces a middleware system based on p...

With the technological development of global positioning and video surveillance systems and extensive utilization of social media platforms, large amounts of trajectories data are captured. Processing and analyzing of moving objects such as people, animals, and vehicles provides valuable information for industrial and academic studies. In this stud...

Fonolojik gerilik veya bozukluğun tespit edilmesi ve düzeltilmesi bireylerin kişilik üzerlerindeki negatif etkisinin kalkması ve sosyal yaşama entegrasyon açısından önemlidir. Telaffuz bozukluklarında konuşmacılar, normal olarak konuşabilmesine rağmen bazı ses veya ses gruplarını yanlış telaffuz etmekteler. Bu çalışmada mobil tabanlı olarak izole o...

To define the state of communication, a lot of signaling protocol has been studied by many researchers. In this paper, we firstly focus on a new hybrid optimized signaling protocol, ARCSPXP (ARDIC Cloud Service Platform Extension Protocol), which is specialized to mobile devices which are communicating with cloud based services via its internet con...

Sosyal medyanın artan kullanımı ve dijital teknolojilerin yaygın olarak kullanımının artmasıyla veriler çok farklı kaynaklardan ve çok değişik tiplerde üretilmeye başlanmıştır. Text verileri, görüntü verileri ve video verileri bunların en genel örnekleridir. Oluşan büyük verilerin depolanması, işlenmesi ve yo-rumlanması çok büyük önem arz etmektedi...

Unstructured data forms close to 80% of information in the healthcare industry and is growing exponentially. Analyzing and querying of those type of data is not efficient with traditional relational database technologies. In this paper, we propose a distributed and scalable big data framework for querying and analyzing of unstructured clinical data...

Birçok karmaşık işlemin yapılmasını gerektiren akademik çalışma (maka-le, bildiri vs.) değerlendirme işlemi, çalışmanın uzmanlarca yeterliliğinin, öne-minin ve orijinalliğinin değerlendirilmesi için yapılmaktadır. Akademik çalış-malara alanlarına uygun hakemlerin atanması bu işlemlerden biridir. Akademik çalışma yazarları; çalışmalarını, yapılan ça...

Trafik yönetim ve bilgi sistemlerinin trafik akışını düzgün bir şekilde sağlayabilmesi için çeşitli algılayıcılar yardımıyla trafikle ilgili bilgileri elde etmesi gerekmektedir. Bu kapsamda, son yıllarda trafik gözlemi ve denetiminde video kameralarının kullanımı çok yaygınlaşmış ve aktif olarak kullanılmaktadır. Bu çalışmada, araç görüntülerinin s...

Finding all objects that overlap a given range query is very important in terms of extraction useful information from big spatial data. In this study, in order to be able to realize range query on large amounts of spatial data, three datasets are created with different size and a MapReduce computation model is set up to test scalability of range qu...

This study proposes a song recommender system. The architecture is based on a distributed scalable big data framework. The recommender system analyzes songs a person listens to most and recommends a list of songs as a playlist. To realize the system, we use Word2vec algorithm by creating vector representations of songs. Word2vec algorithm is adapte...

Video surveillance systems have been used in various applications such as traffic monitoring, detecting military threats and public safety. In this study, we evaluate real-time performance for BGSLibrary (Background Subtraction Library) algorithms on well-known datasets, which are Background Models Challenge (BMC) and ChangeDetection.

We propose a framework stitching of vector representations of large scale raster mosaic images in distributed computing model. In this way, the negative effect of the lack of resources of the central system and scalability problem can be eliminated. The product obtained by this study can be used in applications requiring spatial and temporal analys...

Synchronization is a promising approach to solve the consistency problems in replicated distributed file systems. The synchronization can be repeated periodically, with fixed time interval or a time interval which can be adjusted adaptively. In this paper, we propose a policy-based performance efficient distributed file synchronization approach, in...

Maps are an excellent way to present data that have spatial components. However, when the data being presented vary over time, a simple two-dimensional map ignores an important feature of the data. An animated map that shows a series of two-dimensional maps at successive points in time allows one to add a time dimension to the display of data. The...

A satellite object can consist of more than one mosaic image. To extract any object from remote sensing satellite images, mosaic images need to be stitched. It is critical problem that which mosaics will be selected for image stitching among big mosaic dataset. This selection process can be realized by means of reference maps (such as Google Map)....

Video surveillance systems have been used in various applications such as traffic monitoring, detecting military threats and public safety. In this study we present a service oriented real-time automated framework to detect both abandoned objects and video tampering attempts. The technique is based on foreground and background analyses of the image...

Tablets receive educational data from cloud servers in envisaged structure of Fatih (Movement of Enhancing Opportunities and Improving Technology) project. Constraints such as increasing educational data size, droping in internet connection speed and limited bandwidth cause increasing time and cost for data transfers. Employing school level proxy s...

Localization methods enable estimating locations accurately and provide location information pertaining to mobile devices, people, cars, data and equipment. Accurate location detection is a vital process for most of location-based applications such as emergency rescue, in-building guidance, security services, and product tracking in hospitals. This...

Fatih (Fırsatları Arttırma ve Teknolojiyi İyileştirme Hareketi) projesinde öngörülen yapıda tabletler eğitim verilerini bulut sunuculardan almaktadırlar. Eğitsel verinin artması, internet bağlantı hızının düşmesi, sınırlı bant genişliği gibi kısıtlamalar veriye ulaşım süresinin ve maliyetinin artışına neden olmaktadır. Tabletler ile bulut sunucu ar...