Browsing by Author "Ayabakan, Tarik"

Now showing 1 - 4 of 4

Citation Count: 0
Fault Tolerant Indoor Positioning Based on Federated Kalman Filter
(Springer, 2024) Kerestecioğlu, Feza; Kerestecioglu, Feza
In this article, multi-sensor indoor positioning, which is based on fusing tri-laterated position data of the target, is considered. A novel method, which is based on federated Kalman filtering and makes use of the fingerprint data, namely, federated Kalman filter with skipped covariance updating (FKF-SCU) is proposed. The data collected on two test beds are used in comparing the performances of the proposed algorithm and that of the regular federated filter. It is shown that the proposed algorithm provides fault tolerance and quick recovery, whenever signal reception from an access point is interrupted, as well as an improvement of 12.57% on the position accuracy.
Citation Count: 0
Fuzzy logic for decision extraction from product reviews
(Institute of Electrical and Electronics Engineers Inc., 2018) Altabbaa, Mhd Tahssin; Ayabakan, Tarik; Öğrenci, Arif Selçuk
Most of manufacturers and merchants sell their products via internet websites where customers buy them and write their reviews regarding the purchased product. These reviews carry a lot of information. Prospective customers are heavily interested in the experience of the predecessor customers where enormous number of reviews are offered by the website per product. In this study given a dataset of reviews we give a solution to estimate a total score of sentiment for the product reviewed. For this purpose fuzzy logic is used to process the subjective comments and to obtain a reliable average estimation for the decision from those individual reviews. The method is executed over different models to search the effects of the frequency of features on the outcome. © 2017 IEEE.
Citation Count: 61
A review of path planning algorithms in maritime autonomous surface ships: Navigation safety perspective
(Pergamon-Elsevier Science Ltd, 2022) Ozturk, Ulku; Akdag, Melih; Ayabakan, Tarik
Unmanned maritime systems are evolving in a rapidly changing environment. Although the regulation and international law processes are still in progress, there are numerous research attempts regarding autonomous maritime vehicle path planning particularly. In contrast to ground and air autonomous path planning, ship path planning has numerous pitfalls such as safety, complexity and environmental dynamics that hinder the emergence of reliable autonomous systems. This review explores the path planning algorithms of autonomous maritime vehicles and their collision regulation relevance in order to reveal how the research community handles this issue. Our relevant findings point out that there are still many traffic rules to be dealt by path planning algorithms. Algorithms that can be calibrated in terms of safe distance, safe speed and etc. may be deemed more compliant after regulation amendments.
Citation Count: 4
RSSI-Based Indoor Positioning via Adaptive Federated Kalman Filter
(IEEE-Inst Electrical Electronics Engineers Inc, 2022) Kerestecioğlu, Feza; 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.