Kerestecioğlu, Feza

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Kerestecioglu F.
K., Feza
Feza Kerestecioğlu
Kerestecioğlu F.
Kerestecioǧlu F.
Kerestecioglu,F.
FEZA KERESTECIOĞLU
Kerestecioğlu, F.
Kerestecioğlu,F.
KERESTECIOĞLU, Feza
KERESTECIOĞLU, FEZA
K.,Feza
Feza KERESTECIOĞLU
Kerestecioğlu, FEZA
Feza, Kerestecioglu
Kerestecioglu,Feza
F. Kerestecioğlu
Kerestecioglu, Feza
Kerestecioğlu, Feza
Keresteci˙oğlu,F.
Kerestecioglu, F.
Job Title
Prof. Dr.
Email Address
Main Affiliation
Computer Engineering
Status
Current Staff
Website
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID

Sustainable Development Goals

SDG data is not available
Documents

25

Citations

221

h-index

8

Documents

22

Citations

149

Scholarly Output

25

Articles

10

Views / Downloads

98/2339

Supervised MSc Theses

1

Supervised PhD Theses

1

WoS Citation Count

89

Scopus Citation Count

152

WoS h-index

6

Scopus h-index

8

Patents

0

Projects

0

WoS Citations per Publication

3.56

Scopus Citations per Publication

6.08

Open Access Source

15

Supervised Theses

2

Google Analytics Visitor Traffic

JournalCount
Adaptive Behavior2
2009 IEEE International Conference on Control Applications1
2013 9th Asian Control Conference (ASCC)1
2018 3rd International Conference on Computer Science and Engineering (Ubmk)1
2018 3rd International Conference on Computer Science and Engineering (UBMK)1
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Scholarly Output Search Results

Now showing 1 - 10 of 25
  • Article
    Circular Formations of Non-Communicating Robot Groups Via Local Strategies
    (Sage Publications Ltd, 2023) Kerestecioglu, Feza; Sen, Uemit; Isikver, Cagri; Goktekin, Ahmet
    Local strategies, which are based on cost minimization, to achieve circular formations of autonomous robot groups are presented. It is assumed that the group members have no communication capabilities or any means of interchanging information among themselves, and that they can only rely on their sensors, which provide relative positions of their nearby group members. It is verified on simulations that via appropriately defined cost functions arc, arc-triangle and circle formations are obtained, which can be maintained during navigation.
  • Conference Object
    Citation - Scopus: 6
    Indoor Positioning Using Federated Kalman Filter
    (Institute of Electrical and Electronics Engineers Inc., 2018) Ayabakan, Tarık; Kerestecioğlu, Feza
    In this paper, the performance of a multi-sensor fusion technique, namely Federated Kalman Filter (FKF) is studied in the context of indoor positioning problem. Kalman filters having centralized and decentralized structures are widely used in outdoor positioning and navigation applications. Global Positioning System (GPS) is the most commonly used system for outdoor positionin/navigation, which cannot be used indoors due to the signal loss. In this study, a decentralized structure for FKF is applied in indoor positioning problem by taking its outdoor navigation performance into consideration. Simulations are performed with distance measurements, which are assumed to be calculated by using Received Signal Strength (RSS). Results gathered via different simulations are evaluated as promising for future studies.
  • Conference Object
    Citation - WoS: 2
    Citation - Scopus: 8
    Navigation of Autonomous Mobile Robots in Connected Groups
    (IEEE, 2008) Cezayirli, Ahmet; Kerestecioğlu, Feza
    The navigation of autonomous mobile robots as a group is considered in this paper. Definitions adopted from the graph theory are given to characterize the robot group. A local steering strategy is proposed such that when each robot in the group applies this steering scheme the overall result is that the whole group is displaced without losing its connectivity. This is achieved using only limited-range position sensors and without any communication between the robots.
  • Master Thesis
    Anomaly Detection Via Machine Learning
    (Kadir Has Üniversitesi, 2023) ERDEM, GÖRKEM; Kerestecioglu, Feza; Çevik, Mesut
    Retail companies monitor inventory stock levels regularly and manage stock levels based on forecasted sales to sustain their market position. The accuracy of inventory stocks is critical for retail companies to create a correct strategy. Many retail com- panies try to detect and prevent inventory record inaccuracy caused by employee or customer theft, damage or spoilage and wrong shipments. This study is aimed to detect inaccurate stocks using machine learning methods. It uses the real inven- tory stock data of Migros Ticaret A.S¸. of Turkey’s largest supermarket chains. A multiple of machine learning algorithms such as Isolation Forest (IF), Local Outlier Factor (LOF), One-Class Support Vector Machine (OCSVM) were used to detect abnormal stock values. On the other hand, generally, researchers use public data to develop methods, and it is challenging to apply machine learning algorithms to real-life data, especially in unsupervised learning. This thesis shows how to handle real-life data noises, missing values etc. The experimental findings show the perfor- mances of machine learning methods in detecting anomalies in low and high level inventory stock.
  • Conference Object
    Citation - Scopus: 7
    Fault Tolerant Control With Re-Configuring Sliding-Mode Schemes
    (2005) Demirci, Ufuk; Kerestecioğlu, Feza
    In this paper a controller design method for linear MIMO systems is presented which a sliding mode controller is reconfigured in case of system faults. Faults are detected with the residual vector generated from a standard linear observer. Once a fault has been detected the fault distribution matrix can be obtained and used to update the corrective or equivalent control parts of the sliding mode controller. As a result fault tolerant adaptive controllers keep the system performance within acceptable limits or at least avoids the system to wind-up. © TÜBITAK.
  • Article
    Citation - WoS: 13
    Citation - Scopus: 15
    RSSI-Based Indoor Positioning via Adaptive Federated Kalman Filter
    (IEEE-Inst Electrical Electronics Engineers Inc, 2022) Ayabakan, Tarik; Kerestecioglu, Feza
    In this paper, federated Kalman filter (FKF) is applied for indoor positioning. Position information that is multi-laterated from the distance information obtained using the received signal strengths collected from several access points are processed in a FKF to estimate the position of the target. Two approaches are presented to adjust the information-sharing coefficients of FKF using online measurements. The data collected on a test bed composed of four access points are used to assess and compare the performances of the proposed algorithms. It is shown that the estimation error can be improved considerably by adjusting the information-sharing coefficients online.
  • Doctoral Thesis
    Multi-sensor indoor positioning
    (Kadir Has Üniversitesi, 2022) AYABAKAN, TARIK; Kerestecioglu, Feza
    In this study, multi-sensor indoor positioning methods, which fuse the tri-laterated position data of the target are considered. The lateration is based on the dis tances that are obtained using the signal strengths received from different Wi-Fi access points. A new method, which is based on federated Kalman filtering (FKF) and makes use of the fingerprint data, namely, federated Kalman filter with skipped covariance updating (FKF-SCU) is proposed for indoor positioning. After that chal lenging issue of FKF, information sharing coefficient assignment is studied and two online adaptation methods based on received signal strength indication (RSSI) and distance information gathered from APs are proposed. Lastly, FKF-SCU structure is combined with adaptive FKF configuration. The data collected on two different test beds are used to compare the performance of the proposed positioning methods to those of the regular federated and centralized filters. It is shown on the test data that these algorithms improve the position accuracy and provide fault tolerance whenever signal reception is interrupted from an access point.
  • Conference Object
    Citation - Scopus: 10
    A New Nano-Design of an Efficient Synchronous Full-Adder/Subtractor Based on Quantum-Dots
    (ISRES Publishing, 2023) Ahmadpour,S.-S.; Navimipour,N.J.; Kerestecioglu,F.
    Quantum-dot cellular automata (QCA), known as one of the alternative technologies of CMOS technology, promises to design digital circuits with extra low-power, extremely dense, and high-speed structures. Moreover, the next generation of digital systems will be used QCA as desired technology. In designing arithmetic circuits, efficient designs such as full-adder and full-subtractor can play a significant role. In addition, they are considering the most used structures in digital operations. Furthermore, full-adder and fullsubtractor are always effective parts of all complex and well-known circuits such as Arithmetic Logic Unit (ALU), Microprocessors, etc. This paper proposes low complexity and high-speed QCA coplanar synchronous full-adder/subtractor structures by applying formulations based on the Exclusive-OR gate to decrease energy consumption. The proposed design is simulated using QCADesigner 2.0.3. The simulation results confirm the efficiency of the proposed circuit. Moreover, comparative investigation indicates the superiority of proposed designs compared to state-of-the-art designs. Finally, the suggested QCA coplanar synchronous fulladder/subtractor shows 5.88% and 7.69% improvement in consumed cells relative to the best full adder and full subtractor, respectively. © 2023 Published by ISRES.
  • Conference Object
    Sliding Mode Controller Solution for the Shallow Submerged Operation Ok a Submarine
    (IFAC Secretariat, 2003) Demirci, Ufuk; Kerestecioğlu, Feza
    In this paper a submarine controller is presented which can accommodate the sea wave effects on a submarine a(shallow water operation. Sliding mode method is implemented in a way that the robustness of the controller increased with respect to disturbance distribution vector in order to perform the depth control of a shallow submerged submarine under sea wave disturbances. Designed controller kept the submarine performance within acceptable limits. Copyright © 2003 IFAC.
  • Book Part
    Citation - Scopus: 8
    Problematizing Emi Programs in Turkish Higher Education: Voices From Stakeholders
    (Bloomsbury Publishing Plc., 2021) I˙nal,D.; Bayyurt,Y.; Keresteci˙oğlu,F.
    [No abstract available]