Bekmezci, İlker

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Profile URL
https://hdl.handle.net/20.500.11779/2677
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Job Title
Email Address
bekmezcii@mef.edu.tr
Main Affiliation
02.02. Department of Computer Engineering
Status
Current Staff
Website
ORCID ID
0000-0001-7299-9448
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Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
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Sustainable Development Goals

9

INDUSTRY, INNOVATION AND INFRASTRUCTURE
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1

Research Products
This researcher does not have a Scopus ID.
This researcher does not have a WoS ID.
Scholarly Output

4

Articles

1

Views / Downloads

744/524

Supervised MSc Theses

1

Supervised PhD Theses

0

WoS Citation Count

7

Scopus Citation Count

10

WoS h-index

1

Scopus h-index

2

Patents

0

Projects

1

WoS Citations per Publication

1.75

Scopus Citations per Publication

2.50

Open Access Source

1

Supervised Theses

1

Google Analytics Visitor Traffic

JournalCount
2021 Innovations in Intelligent Systems and Applications Conference (ASYU)1
2022 International Conference on Theoretical and Applied Computer Science and Engineering (ICTASCE)1
Journal of Intelligent & Fuzzy Systems1
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Scopus Quartile Distribution

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Scholarly Output Search Results

Now showing 1 - 4 of 4
  • Thumbnail Image
    Master Thesis
    A web of things system to control party equipment
    (MEF Üniversitesi, 2024) Eroğlu, Eray; Bekmezci, İlker
    Etkili bir parti düzenlemenin temel unsurlarını incelemekte ve başarılı bir etkinliğin düzenlenmesi için gereken ekipmanları ve bu bileşenlerin nasıl koordine edilip bir bütün halinde çalışabileceğini bu tez kapsamında araştırılmış ve geliştirilmiştir. Bu bağlamda, özellikle eğlence cihazları arasındaki koordinasyon ve iletişimin önemi üzerinde durulmaktadır. Bununla birlikte Nesnelerin Web'i (WoT) paradigması üzerinden parti organizasyonuna entegrasyonunun nasıl uygulanabileceğini gösterilmektedir. WoT, nesnelerin interneti üzerinden fiziksel cihazların birbirleriyle iletişim kurmasına ve etkileşimde bulunmasına olanak sağlayan bir iletişim ağıdır. Bu tez, WoT'un parti organizasyonunda nasıl kullanılabileceğini ve eğlence unsurlarının koordinasyonunu ve senkronizasyonunu artırmak için nasıl bir araç olabileceğini ortaya koymaktır. Bu çalışmanın bir diğer amacı da, parti organizasyonu için temel ekipmanların belirlenerek son kullanıcılar tarafından gerekli isteklerin uygulanmasıdır. Hangi cihazların gerekliliği, bu cihazların fonksiyonları ve nasıl entegre edilebilecekleri gibi konular detaylı bir şekilde titizlikle ele alınmaktadır. WoT'un gelişen alanına ve dinamik, etkileşimli ortamlardaki potansiyel uygulamalara katkı sağlamayı amaçlamaktadır. Partiler gibi sosyal etkileşim odaklı etkinliklerde WoT'un nasıl kullanılabileceğini anlamak, bu alandaki araştırmalara yeni bir perspektif kazandırarak literatüre yeni projeleri kazandırabilir.
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    Conference Object
    Citation - Scopus: 3
    Wireless Real-Time Monitoring System for Steam Cured Concrete Maturity Calculation
    (IEEE, 2021) Bekmezci, İlker; Sürücü, Engin; Yıkıcı, Alper
    Internet of Things (IoT) enabled LoRaWAN® system is adopted to monitor concrete temperatures in real-time via wireless devices embedded within concrete cover. Maturity method is employed to predict compressive strength development of steam cured precast concrete segments produced at an automated manufacturing plant using carousel system. The concrete segments embedded with IoT devices are exposed to steam curing in thermally insulated chambers and transferred to the evacuation line outside of the plant after being demolded. Real-time temperature measurements are continuously compared to predefined target values, so that an email notification could be send to production engineer. In this study, concrete temperatures as well as curing ambient temperatures for two different cases during segment manufacturing are successfully recorded. The details of IoT wireless system to estimate the strength of concrete are presented.
  • Thumbnail Image
    Conference Object
    Citation - WoS: 6
    Citation - Scopus: 6
    Efficient Strategy for Multi-Uav Path Planning in Target Coverage Problems
    (IEEE, 2022) Bekmezci, İlker; Pehlivanoğlu, Perihan; Pehlivanoğlu, Y. Volkan
    In recent years, multi unmanned aerial vehicles (UAVs) are used in the same system to accomplish more complex missions. In many multi-UAV system applications, the main objective is to visit some predetermined checkpoints in operational area. If the number of check points and constraints increases, finding a feasible solution takes up too much time. In this paper, a checkpoint based multi-UAV path planning problem is solved by using improved genetic algorithm. The main contributions of this paper are: (1) the introducing revisit time interval concept, (2) the investigating of the effect of objective function description, and (3) looking into an outcome of using multiple runways on optimal multi-UAV path planning. The proposed strategy-based optimization methodology is performed for checkpoint based multi-UAV path planning problems in two-dimensional (2D) environment. Performance results show that the proposed strategy provides effective and feasible paths for each UAV.
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    Article
    Citation - WoS: 1
    Citation - Scopus: 1
    A Novel Genetic Algorithm-Based Improvement Model for Online Communities and Trust Networks
    (IOS Press, 2020) Bekmezci, ilker; Cimen, Egemen Berkic; Ermiş, Murat
    Social network analysis offers an understanding of our modern world, and it affords the ability to represent, analyze and even simulate complex structures. While an unweighted model can be used for online communities, trust or friendship networks should be analyzed with weighted models. To analyze social networks, it is essential to produce realistic social models. However, there are serious differences between social network models and real-life data in terms of their fundamental statistical parameters. In this paper, a genetic algorithm (GA)-based social network improvement method is proposed to produce social networks more similar to real-life data sets. First, it creates a social model based on existing studies in the literature, and then it improves the model with the proposed GA-based approach based on the similarity of the average degree, the k-nearest neighbor, the clustering coefficient, degree distribution and link overlap. This study can be used to model the structural and statistical properties of large-scale societies more realistically. The performance results show that our approach can reduce the dissimilarity between the created social networks and the real-life data sets in terms of their primary statistical properties. It has been shown that the proposed GA-based approach can be used effectively not only in unweighted networks but also in weighted networks.