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.
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.
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Main Affiliation
Computer Engineering
Status
Current Staff
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ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
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Sustainable Development Goals
SDG data is not available
Documents
25
Citations
225
h-index
8
Documents
22
Citations
155
Scholarly Output
25
Articles
10
Views / Downloads
128/2571
Supervised MSc Theses
1
Supervised PhD Theses
1
WoS Citation Count
95
Scopus Citation Count
157
WoS h-index
6
Scopus h-index
8
Patents
0
Projects
0
WoS Citations per Publication
3.80
Scopus Citations per Publication
6.28
Open Access Source
15
Supervised Theses
2
Google Analytics Visitor Traffic
| Journal | Count |
|---|---|
| Adaptive Behavior | 2 |
| 2009 IEEE International Conference on Control Applications | 1 |
| 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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25 results
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Now showing 1 - 10 of 25
Article Citation - WoS: 2Nonuniform Sampling for Detection of Abrupt Changes(Birkhauser Boston Inc, 2003) Kerestecioğlu, Feza; Tokat, SezaiIn this work detection of abrupt changes in continuous-time linear stochastic systems and selection of the sampling interval to improve the detection performance are considered. Cost functions are proposed to optimize both uniform and nonuniform sampling intervals for the well-known cumulative sum algorithm. Some iterative techniques are presented to make online optimization computationally feasible. It is shown that considerable improvement in the detection performance can be obtained by using nonuniform sampling intervals.Article Citation - WoS: 24Citation - Scopus: 30Design and Implementation of a Nano-Scale High-Speed Multiplier for Signal Processing Applications(Elsevier, 2024) Ahmadpour, Seyed-Sajad; Navimipour, Nima Jafari; Ul Ain, Noor; Kerestecioglu, Feza; Yalcin, Senay; Avval, Danial Bakhshayeshi; Hosseinzadeh, MehdiDigital signal processing (DSP) is an engineering field involved with increasing the precision and dependability of digital communications and mathematical processes, including equalization, modulation, demodulation, compression, and decompression, which can be used to produce a signal of the highest caliber. To execute vital tasks in DSP, an essential electronic circuit such as a multiplier plays an important role, continually performing tasks such as the multiplication of two binary numbers. Multiplier is a crucial component utilized to implement a wide range of DSP tasks, including convolution, Fourier transform, discrete wavelet transforms (DWT), filtering and dithering, multimedia information processing, and more. A multiplier device includes a clock and reset buttons for more flexible operational control. Each digital signal processor constitutes a multiplier unit. A multiplier unit functions entirely autonomously from the central processing unit (CPU); consequently, the CPU is burdened with a significantly reduced amount of work. Since DSP algorithms must constantly carry out multiplication tasks, the employment of a high-speed multiplier to execute fast-speed filtering processes is vital. The previous multipliers had lots of weaknesses, such as high energy, low speed, and high area, because they implemented this necessary circuit based on traditional technology such as complementary metal-oxide semiconductor (CMOS) and very large-scale integration (VLSI). To solve all previous drawbacks in this necessary circuit, we can use nanotechnology, which directly affects the performance of the multiplier and can overcome all previous issues. One of the alternative nanotechnologies that can be used for designing digital circuits is quantum dot cellular automata, which is high speed, low area, and low power. Therefore, this manuscript suggests a quantum technology-based multiplier for DSP applications. In addition, some vital circuits, such as half adder, full adder, and ripple carry adder (RCA), are suggested for designing a multiplier. Moreover, a systolic array, accumulator, and multiply and accumulate (MAC) unit are proposed based on the quantum technologybased multiplier. Nonetheless, each of the suggested frameworks has a coplanar configuration without rotated cells. The suggested structure is developed and verified utilizing the QCADesigner 2.0.3 tools. The findings showed that all circuits have no complicated configuration, including a higher number of quantum cells, latency, and an optimum area.Conference Object Citation - WoS: 1Citation - Scopus: 6On Preserving Connectivity of Autonomous Mobile Robots(IEEE, 2009) Cezayirli, Ahmet; Kerestecioğlu, FezaThe connectivity of the autonomous mobile robots is considered in this paper. The group navigation is provided using simple local steering rules and without any explicit communication. Sub-optimal solutions are invoked to avoid computational cost. We show that the connectivity of the group is preserved during the whole motion in spite of bounded measurement errors on angles and distances. Some special cases of group topology are also discussed.Article Circular Formations of Non-Communicating Robot Groups Via Local Strategies(SAGE Publications Ltd, 2024) Kerestecioğlu,F.; Şen,Ü.; Işıkver,Ç.; Göktekin,A.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. © The Author(s) 2023.Conference Object Citation - WoS: 8Indoor Positioning Using Federated Kalman Filter(IEEE, 2018) Aybakan, Tarik; Kerestecioglu, FezaIn 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 (GI'S) is the most commonly used system for outdoor positioning/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 perl4med 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.Article Circular Formations of Non-Communicating Robot Groups Via Local Strategies(Sage Publications Ltd, 2023) Kerestecioglu, Feza; Sen, Uemit; Isikver, Cagri; Goktekin, AhmetLocal 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: 6Indoor Positioning Using Federated Kalman Filter(Institute of Electrical and Electronics Engineers Inc., 2018) Ayabakan, Tarık; Kerestecioğlu, FezaIn 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: 2Citation - Scopus: 8Navigation of Autonomous Mobile Robots in Connected Groups(IEEE, 2008) Cezayirli, Ahmet; Kerestecioğlu, FezaThe 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, MesutRetail 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: 1A Non-Communicating Multi-Robot System With Switchable Formations(2013) Cezayirli, Ahmet; Kerestecioğlu, FezaWe consider connected navigation of autonomous mobile robots with transitions in the group formation. The robots navigate using simple local steering rules without requiring explicit communication among themselves. The formations are achieved by designing proper cost functions and formation transitions are succeeded by switching among these cost functions. The resulting system is proven to be deadlock-free under certain conditions. © 2013 IEEE.
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