Taner Arsan

Arsan, Taner

Name Variants

A., Taner
Taner Arsan
ARSAN, Taner
Arsan,Taner
Arsan, TANER
A.,Taner
Taner ARSAN
Arsan, Taner
Taner, Arsan
ARSAN, TANER
Arsan, T.
T. Arsan
TANER ARSAN
Arsan,T.
Arsan T.

Job Title

Doç. Dr.

Email Address

arsan@khas.edu.tr

ORCID ID

0000-0002-4453-3218

Scopus Author ID

6506505859

Full item page

Scholarly Output

54

Articles

17

Citation Count

140

Supervised Theses

11 Scholarly Output Search Results

Now showing 1 - 10 of 54

Implementation of Pci-Dss V3.0 information security standards
(Kadir Has Üniversitesi, 2015) Arsan, Taner; Arsan, Taner
Way of doing business has changed with rapid spread of the internet and mobile devices and payment systems must keep up with that. Most of the monetary transactions are done electronically and percentage of internet trade is growing rapidly. information is being more important for companies and individuals when it comes to payment systems. Fraudulent transaction rates have been increased significantly with the positioning of payment systems in public networks such as the internet and Wi-Fi which brings along security breaches. information security requirements and raise of online payment card transactions together with payment card industry demands triggered the founding of PCi DSS information security standards. This thesis describes PCi DSS their requirements for compliancy and implementation of the standards to a company which have more than 2000 employee and stores processes and transmits payment card information.
Citation Count: 10
A Clustering-Based Approach for Improving the Accuracy of UWB Sensor-Based Indoor Positioning System
(Hindawi LTD, 2019) Arsan, Taner; Hameez, Mohammed Muwafaq Noori
There are several methods which can be used to locate an object or people in an indoor location. Ultra-wideband (UWB) is a specifically promising indoor positioning technology because of its high accuracy, resistance to interference, and better penetration. This study aims to improve the accuracy of the UWB sensor-based indoor positioning system. To achieve that, the proposed system is trained by using the K-means algorithm with an additional average silhouette method. This helps us to define the optimal number of clusters to be used by the K-means algorithm based on the value of the silhouette coefficient. Fuzzy c-means and mean shift algorithms are added for comparison purposes. This paper also introduces the impact of the Kalman filter while using the measured UWB test points as an input for the Kalman filter in order to obtain a better estimation of the position. As a result, the average localization error is reduced by 43.26% (from 16.3442 cm to 9.2745 cm) when combining the K-means algorithm with the Kalman filter in which the Kalman-filtered UWB-measured test points are used as an input for the proposed system.
Citation Count: 12
Smart Systems From Design to Implementation of Embedded Smart Systems
(IEEE, 2016) Arsan, Taner
This paper aims to explain the design and implementation procedure of embedded Smart Systems. The idea is supported by four different Smart Systems as Smart Home Smart Agriculture Smart Campus and Seat and Study Module of Smart Library. All designs and implementations contains technological components of embedded systems mobile application development cloud based services and client side graphical user interface. Ultimately this paper gives an overview of current state of the art concerning Smart System Design and discusses several issues and possibilities concerning the implementation of four different systems.
Citation Count: 0
Büyük patlama büyük çöküş optimizasyon yöntemi ile ultra geniş band sensörlerinin iç mekân konum belirleme doğruluklarının iyileştirilmesi
(Pamukkale Üniversitesi, 2018) Arsan, Taner
Ultra geniş band teknolojisi, birçok iç mekân konum belirleme sisteminde başarılı çözümler sunan, diğer yöntemlere kıyasla daha iyi performans gösteren, gelişmekte olan bir teknolojidir. Bu çalışmada, ultra geniş band (Ultra Wide Band-UWB) sensörler kullanılarak bir iç mekân konum belirleme sistemi geliştirilmiş ve kullanılan ek algoritmalarla, standart donanımların sağladığı doğruluk düzeyi arttırılırken aynı zamanda ortalama hatayı azaltmak hedeflenmiştir. Bu amaçla Büyük Patlama - Büyük Çöküş (Big Bang-Big Crunch veya BB-BC) optimizasyon yöntemi deneysel iç mekân konumlandırma sistemine uygulanmış ve ölçüm doğruluğu üzerindeki olumlu etkisi yapılan testlerle kanıtlanmıştır. Test alanı olarak 7.35 m × 5.41 m boyutlarında 39.76 m2 'lik bir alan seçilmiş ve özel olarak tasarlanmış bir tavan sistemine yerden 2.85 m yüksekliğe üç farklı UWB alıcı yerleştirilmiş ve 182 adet test noktasından 60 sn.süreyle toplam 10.920 ölçüm alınmıştır. Ölçüm sonuçları Büyük Patlama - Büyük Çöküş optimizasyon algoritması ile düzeltilerek, ortalama hatası önceki 20.72 cm değerinden 15.02 cm’ye düşürülmüş, böylelikle ölçüm sonuçlarının doğruluğu arttırılmıştır.
Citation Count: 0
Joint Visible Light Communications and Positioning with Dimming
(IEEE, 2023) Arsan, Taner; Cicek, Murat Akin; Kumas, Mete Berk; Demiryurek, Tan; Arsan, Taner; Panayırcı, Erdal
In this paper, a novel visible light communication (VLC) and three-dimensional (3D) positioning (VLP) algorithm based on spatial modulation (SM) with dimming capability is proposed. With the help of the signal and pilot symbols observed by a user with two photodetectors (PD) on the receiver, the detection of the transmitted data with the estimated channel and dimming coefficients is performed, and at the same time, the position of the user represented in 3D is determined. The computer simulations conclude that the root mean square (RMS) values of the proposed algorithm in 3D position determination are very low, and the bit error rate (BER) performance is very high.
Citation Count: 0
A systems software architecture for training neural fuzzy neural and genetic computational intelligent networks
(IEEE, 2006) Arsan, Taner; Öğrenci, Arif Selçuk; Saydam, Tuncay
A systems software architecture for training distributed neural fuzzy neural and genetic networks and their relevant information models have been developed. Principles of on-line architecture building training managing and optimization guidelines are provided and extensively discussed. Qualitative comparisons of neural training strategies have been provided.
Citation Count: 0
Enhancing Robotic Performance: Analyzing Force and Torque Measurements for Predicting Execution Failures
(Institute of Electrical and Electronics Engineers Inc., 2023) Arsan, Taner; Alsan,H.F.; Arsan,T.
Robots play an important role in many sectors, automating processes and supplementing human talents. However, guaranteeing reliability is critical for effective integration and widespread adoption. As a result, forecasting and managing these errors is critical. This research examines force and torque measurements in order to better understand the causes and patterns of robot execution errors. We hope to build prediction models that improve robot design and performance, eventually boosting their reliability and efficacy, by using data analysis and machine learning approaches. This study's research aims include using a dataset of force and torque measurements to predict and define robot execution failures, We hope to uncover the complex links between force and torque measurements and failure types, find crucial signals or precursors to failures, and construct strong prediction models for correct failure categorization by tackling these research topics. This study contributes to data science by demonstrating the use of analytics approaches to improve the dependability and performance of robots in real-world scenarios. © 2023 IEEE.
Citation Count: 1
Physical Layer Security Under the Effect of Dimming in Visible Light Communications
(IEEE, 2023) Arsan, Taner; Isikver, Cagri; Gokhan, Roja Boran; Arsan, Taner; Panayırcı, Erdal
Visible Light Communication (VLC) is a promising option for 6G wireless systems to increase performance and provide a high-speed data rate compared to radio frequency (RF). Dimming control is one of the most important aspects to be considered in VLC. It is very critical for the future of VLC to adjust the brightness of the light source to be used in communication and to ensure that the light source, with a changing brightness, maintains the desired communication performance due to the situation and environment. This work proposes a novel pilot-aided estimation method for channel and dimming coefficients in spatial modulation (SM)-VLC systems. As a result, in the VLC system running with the PLS algorithm, while the information transmitted to the legal user is received with an excellent BER performance, it is observed that the BER performance of the eavesdropper is around 0.5, which is the worst possible situation for the illegal user.
Citation Count: 4
Accurate indoor positioning with ultra-wide band sensors
(Tubitak, 2020) Arsan, Taner
Ultra-wide band is one of the emerging indoor positioning technologies. In the application phase, accuracy and interference are important criteria of indoor positioning systems. Not only the method used in positioning, but also the algorithms used in improving the accuracy is a key factor. In this paper, we tried to eliminate the effects of off-set and noise in the data of the ultra-wide band sensor-based indoor positioning system. For this purpose, optimization algorithms and filters have been applied to the raw data, and the accuracy has been improved. A test bed with the dimensions of 7.35 m x 5.41 m and 50 cm x 50 cm grids has been selected, and a total of 27,000 measurements have been collected from 180 test points. The average positioning error of this test bed is calculated as 16.34 cm. Then, several combinations of algorithms are applied to raw data. The combination of Big Bang-Big Crunch algorithm for optimization, and then the Kalman Filter have yielded the most accurate results. Briefly, the average positioning error has been reduced from 16.34 cm to 7.43 cm.
Citation Count: 0
Multitype Learning via Multimodal Data Embedding
(Institute of Electrical and Electronics Engineers Inc., 2021) Arsan, Taner; Safdil, E.B.; Arslan, F.; Alsan, H.F.; Arsan, T.
This paper creates a multimodal retrieval system for image and text data in a multi-type learning approach that enables text-to-image, image-to-text, text-to-text, and image-to-image retrievals. As a practical solution, a mobile application is developed in which the users can upload their images to search a description sentence for the images. The user system is created on the application, which is done with React Native, and crucial features like e-mail authentication and reset password options are added to the application. An essential database system is designed with PostgreSQL to store user information and search for the user. The multimodal embedding study is worked, and the model that recognizes multitype retrievals is formed. The image-to-text retrieval model, which is our application's idea, is applied to the mobile application. © 2021 IEEE.