Browsing by Author "Arsan, Taner"

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Indoor positioning system development
(Kadir Has Üniversitesi, 2015) Alp, Ebru; Dağ, Tamer; Arsan, Taner
Nowadays, smartphone market penetration continues to grow with developing technology. Accordingly, position detection in closed areas has become an important research area. For instance; finding a direct route to the gate based on location at an airport, determining a route to the destination that could be a shop or cafe at a shopping center or informing about sales discount to increase sales using location are several applicable areas of position estimation. In the thesis, I developed triangulation algorithm more efficient using least square method with the developments of Wi-Fi channel fixing, optimized A and n values used in log normal formula and more than 3 access points. I used synthetic data which is created from sample data and estimate location for comparison to analyzing success rate of algorithm. According to the measurement results, triangulation algorithm with least square method, channel fixing, optimized A and n values, more than 3 Access Points gives accurate location in closed areas more than simple triangulation algorithm does. The thesis will lead to detect position in closed areas and use it in daily lives using triangulation algorithm with least square method.
Citation - Scopus: 4
A Software Architecture for Inventory Management System
(2013) Arsan, Taner; Başkan, Emrah; Ar, Emrah; Bozkuş, Zeki
Inventory Management is one of the basic problems in almost every company. Before computer age and integration paper tables and paperwork solutions were being used as inventory management tools. These we very far from being a solution took so much time even needed employees just for this section of organization. There was no an efficient solution available in the many companies during these days. Every process was based on paperwork human fault rate was high the process and the tracing the inventory losses were not possible and there was no efficient logging systems. After the computer age every process is started to be integrated into electronic environment. And now we have qualified technology to implement new solutions to these problems. Software based systems bring the advantages of having the most efficient control with less effort and employees. These developments provide new solutions for also inventory management systems in this context. In this paper a new solution for Inventory Management System (IMS) is designed and implemented. Most importantly this system is designed for Kadir Has University and used as Inventory Management System. © 2013 Springer Science+Business Media.
New Generation Android Operating System-Basedmobile Application: Rss/News Reader
(Springer Verlag, 2015) Arsan, Taner; Erşahin, Mehmet Arif; Alp, Ebru
RSS (Rich Site Summary)/News Reader is a web-based Android OS application developed by using PhoneGap framework. HTML5 CSS and JavaScript are basically used for implementation instead of native Android programming language. This application has a production process like a web application because it is actually a fully working web program which is wrapped by PhoneGap framework. This means the application could be used on almost every mobile platform with making some basic arrangements.RSS/News Reader mobile application takes advantage of both flexibility of web design and built-in features of the device it is installed. This combination provides a complete mobile application which eliminates the need to use different native languages with its hybrid form. This hybrid structure makes mobile programming faster and easier to implement.In this new generation operating system-based mobile application a combination of PhoneGap framework HTML5 CSS3 JavaScript jQuery Mobile Python and Django is used for implementation. © Springer International Publishing Switzerland 2015.
Bandwidth Allocation and Traffic Shaping in Mobile Broadband Networks Using Deep Packet Inspection
(Kadir Has Üniversitesi, 2015) Özbilen, Ramazan; Arsan, Taner
In this thesis, it is intended to estimate bandwidth and control mobile data usage by utilizing PCC (Policy and Charging Control) function. According to increase in number of mobile devices, data explosion occurs. It is becoming a must to analyze traffic and sharing resources between subscribers according to their usage habits. It is aimed to provide better a better connected world with service assurance by sharing available bandwidth and estimate it to users according to their needs by protocol level and service based QoS. Due to increase in amount of services like Facebook, Twitter, Mobile TV, in general IP networks, providing service assurance becomes more important day by day. That's why the issue of controlling bandwidth is raised. In the most basic sense, system architecture consists of three main components: A cell phone to generate user based traffic, Gateway GPRS Support Node (GGSN) for Deep Packet Inspection (DPI), and Policy and Charging Rule Function (PCRF) for initiating PCC or Non-PCC rules to GGSN according to services that are needed by user. Shortly, the main idea in this thesis is assigning service based QoS to subscribers to provide better service assurance according to their usage. As thought, the reason of preparing this study is to show the dramatical increase in service based traffic, to explain insufficiency in current bandwidth estimation approaches, and the idea of what can be used in the work of providing better service assurance to an end user. PCRF is the best component for providing required bandwidth when they need.
Career Center System Software Architecture
(Springer Verlag, 2015) Arsan, Taner; Çimenli, Safa; Güneş, Erhan
In today’s world, thousands of job seekers are looking for a new job. On the other hand, thousands of employers are trying to find new employees. So, this is a chaotic matching problem and it does not have a certain answer. Companies are searching career centers and web-based career software to find an answer for the question of “”Should we find a convenient worker for a certain role and hire this person or not?” Solution is that simple; just have a look at the beginning of the story: university career centers. In this study, a Career Center System Software has been designed and implemented for matching students with their ideal job. Career Center System Software (CCSS) is programmed on C#, MS-SQL and.NET platform. CCSS has been developed on Visual Studio 2010. CCSS is implemented in a way so as to enable the user to apply for the job announcements and to monitor courses and to call for conferences and seminars. Furthermore, CCSS enables companies to view the applicant’s curriculum vitae. All job announcements, educations, seminars and CVs are stored on the database. Software quality and testing shows that CCSS is implemented successfully and ready to use tool as Career Center Software.
Improving the Accuracy of Indoor Positioning System
(Kadir Has Üniversitesi, 2019) Hameez, Mohammed Muwafaq Noori; Arsan, Taner
Indoor positioning applications needs high accuracy and precision to overcome the existing obstacles and relatively small areas. There are several methods which could be used to locate an object or people in an indoor location. Specifically, Ultra-wide band (UWB) sensor technology is a promising technology in indoor environments because of its high accuracy, resistance of interference and better penetrating. This thesis is focused on improving the accuracy of UWB sensor based indoor positioning system. To achieve that, optimization and machine learning algorithms are implemented. The impact of Kalman Filter (KF) on the accuracy is introduced in the implementation of the algorithms. The average localization error is reduced by approximately 54.53% (from 16.34 cm to 7.43 cm), when combining the big bang - big crunch algorithm (BB-BC) with Kalman Filter. Finally, a Hybrid (BB-BC KF K-Means) algorithm is improved and implemented separately, and the best results are obtained from this Hybrid algorithm. Thus, it has been obtained that the average localization error is reduced significantly by approximately 64.26% (from 16.34 cm to 5.84 cm).
Citation - WoS: 11
Citation - Scopus: 10
Early Steps in Automated Behavior Mapping via Indoor Sensors
(MDPI, 2017) Arsan, Taner; Kepez, Orçun
Behavior mapping (BM) is a spatial data collection technique in which the locational and behavioral information of a user is noted on a plan layout of the studied environment. Among many indoor positioning technologies we chose Wi-Fi BLE beacon and ultra-wide band (UWB) sensor technologies for their popularity and investigated their applicability in BM. We tested three technologies for error ranges and found an average error of 1.39 m for Wi-Fi in a 36 m(2) test area (6m x 6 m) 0.86 m for the BLE beacon in a 37.44 m(2) test area (9.6 m x 3.9 m) and 0.24 m for ultra-wide band sensors in a 36 m(2) test area (6 m x 6 m). We simulated the applicability of these error ranges for real-time locations by using a behavioral dataset collected from an active learning classroom. We used two UWB tags simultaneously by incorporating a custom-designed ceiling system in a new 39.76 m(2) test area (7.35 m x 5.41 m). We considered 26 observation points and collected data for 180 s for each point (total 4680) with an average error of 0.2072 m for 23 points inside the test area. Finally we demonstrated the use of ultra-wide band sensor technology for BM.
Citation - WoS: 31
Citation - Scopus: 40
Received Signal Strength Based Least Squares Lateration Algorithm for Indoor Localization
(Pergamon-Elsevier Science Ltd, 2018) Dağ, Tamer; Arsan, Taner
Following the success of accurate location estimation for outdoor environments locating targets in indoor environments has become an important research area. Accurate location estimation of targets for indoor environments has the potential for the development of many different applications such as public safety social networking information and mapping services. However the GPS (Global Positioning System) technology used for outdoor environments is not applicable to indoor environments making accurate location estimation a challenging issue for indoor environments. In this paper we propose a received signal strength based least squares lateration algorithm which uses the existing infrastructure. By employing redundancy in the number of access points and applying least squares approximations to the received signal strength values the lateration algorithm increases the accuracy of location estimations. The usage of the existing infrastructure makes the proposed algorithm low cost when compared to other positioning algorithms which need very precise high cost components. (C) 2017 Elsevier Ltd. All rights reserved.
Citation - WoS: 1
Citation - Scopus: 1
Flex: a Modular Software Architecture for Flight License Exam
(Springer-Verlag Berlin, 2010) Arsan, Taner; Saka, Hamit Emre; Şahin, Ceyhun
This paper is about the design and implementation of an examination system based on World Wide Web. It is called FLEX-Flight License Exam Software. We designed and implemented flexible and modular software architecture. The implemented system has basic specifications such as appending questions in system building exams with these appended questions and making students to take these exams. There are three different types of users with different authorizations. These are system administrator operators and students. System administrator operates and maintains the system and also audits the system integrity. The system administrator can not be able to change the result of exams and can not take an exam. Operator module includes instructors. Operators have some privileges such as preparing exams entering questions changing the existing questions and etc. Students can log on the system and can be accessed to exams by a certain URL. The other characteristic of our system is that operators and system administrator are not able to delete questions due to the security problems. Exam questions can be inserted on their topics and lectures in the database. Thus
Citation - WoS: 2
Citation - Scopus: 2
Subchannel Allocation and Power Control for Uplink Femtocell Radio Networks With Imperfect Channel State Information
(Springer, 2019) Altabbaa, Mhd Tahssin; Arsan, Taner; Panayırcı, Erdal
Femtocell technology is emerging as a key solution for mobile operators for its advantage in coverage and capacity enhancement along with its cost effectiveness. However, densely and randomly deployed femtocells while sharing the frequency spectrum of the macrocell arises a severe interference environment. In femtocells deployment, interference coming from a femtocell user affect other femtocell users and the macrocell users, where maintaining the communication of the users in both tiers is a mandatory. In this paper, a novel power control algorithm is proposed for optimizing the uplink transmission powers of femtocell users in a TDD-OFDM communication model in the presence of a channel estimation error and intra-tier interference. We consider signal to interference and noise ratio as the objective function where the proposed constraints deal with: (1) the aggregated interference coming from femtocell tier and received at the active subchannels by the macrocell tier, and (2) the maximum uplink power a femtocell user equipment is allowed to occupy per admissible subchannel. Based on Lagrangian multipliers, the proposed power control approach grants the priority in subchannel usage for macrocell user, then it allows or prohibits frequency reuse of a subchannel with the femtocell tier. A comparison is then made with a pure isolation method that does not allow femtocell user equipments to occupy the active subchannels at the macrocell tier. The numerical results of the proposed approach show a high total rate of femtocell user equipments and the average uplink power is below the maximum allowable transmission power.
An Integrated Software Architecture for Bandwidth Adaptive Video Streaming
(World Acad Sci Eng & Tech-Waset, 2008) Arsan, Taner
Video streaming over lossy IP networks is very important issues due to the heterogeneous structure of networks. Infrastructure of the Internet exhibits variable bandwidths delays congestions and time-varying packet losses. Because of variable attributes of the Internet video streaming applications should not only have a good end-to-end transport performance but also have a robust rate control furthermore multipath rate allocation mechanism. So for providing the video streaming service quality some other components such as Bandwidth Estimation and Adaptive Rate Controller should be taken into consideration. This paper gives an overview of video streaming concept and bandwidth estimation tools and then introduces special architectures for bandwidth adaptive video streaming. A bandwidth estimation algorithm - pathChirp Optimized Rate Controllers and Multipath Rate Allocation Algorithm are considered as all-in-one solution for video streaming problem. This solution is directed and optimized by a decision center which is designed for obtaining the maximum quality at the receiving side.
C# Based Media Center
(2013) Arsan, Taner; Sen, Rasim; Ersoy, Barkan; Devri, Kadir Kadirhan
In this paper, we design and implement a novel all-in-one Media Center that can be directly connected to a high-definition television (HDTV). C# programming is used for developing modular structured media center for home entertainment. Therefore it is possible and easy to add new limitless number of modules and software components. The most importantly, user interface is designed by considering two important factors; simplicity and tidiness. Proposed media center provides opportunities to users to have an experience on listening to music/radio, watching TV, connecting to Internet, online Internet videos, editing videos, Internet connection to pharmacy on duty, checking weather conditions, song lyrics, CD/DVD burning, connecting to Wikipedia. All the modules and design steps are explained in details for user friendly cost effective all-in-one media center.
Citation - WoS: 10
Citation - Scopus: 15
3d Indoor Positioning With Spatial Modulation for Visible Light Communications
(Elsevier, 2023) Sen, Umit; Yesilirmak, Yalin Evrim; Bayman, Irem Ozgur; Arsan, Taner; Panayırcı, Erdal; Stevens, Nobby
In this paper, a novel three-dimensional (3D) indoor visible light positioning (VLP) algorithm is proposed based on the spatial modulation (SM) and its error performance assessed as compared to the conventional received signal strength (RSS)-based 3D VLP systems. As contrasted to the traditional VLP system, the proposed SM-based 3D VLP system first estimates the optical channel gain between the transmitting light-emitting diodes (LEDs) and the two photo detectors (PDs) attached to the user by a pilot-based channel estimation technique. Then, unknown 3D positions of the receiver are determined by the trilateration algorithm with distances computed from the estimates of the channel gains. Consequently, the 3D VLP system achieves an interference -free transmission with increased spectral efficiency and without the need for a demultiplexing process at the receiving end. The algorithm's performance is evaluated regarding positioning error by applying the SM over four LEDs and the number of pilots selected as a function of the environmental signal-to-noise ratios (SNRs). The computer simulation results show that the positioning errors are obtained in an order of magnitude smaller than RSS-based techniques in an indoor industrial environment. This is mainly because the distances involved in determining the 3D positions can be determined more precisely by the pilot-aided channel estimation method without creating any data rate problem in transmission due to the higher spectral efficiency of the SM.
Trafik Verilerinde Genetik Algoritmalar ve Meta Optimizasyonla Güçlendirilmiş Exponential Smoothing Modeli ile Anomali Tespiti ve Performans Analizi
(2024) Güler, Ali Kerem; Arsan, Taner
Bu çalışma, Numenta Anomaly Benchmark'ın (NAB) gerçek zamanlı trafik veri setleri üzerinde tahminleme yapan Third Order Exponential Smoothing modelinin parametrelerini optimize etmek amacıyla genetik algoritma kullanmaktadır. Ayrıca, genetik algoritma optimizasyon sürecini daha verimli hale getirmek için meta-optimizasyon tekniklerinden yararlanılarak anomali tespitindeki doğruluğu önemli ölçüde artıran yenilikçi bir yaklaşım sunmaktadır. Önerilen metodoloji, trafik yönetim sistemlerinde kritik olan veri akışlarındaki sapmaları tespit etmek için çeşitli trafik veri senaryolarına karşı farklı veri setleri üzerinde test edilmiştir. NAB'nin skorlama sistemini kullanarak yapılan karşılaştırmalı performans analizi, bu araştırmada geliştirilen yöntemin mevcut NAB algoritmalarının çoğundan üstün olduğunu ve NAB'nin önde gelen algoritmalarıyla rekabet edebildiğini göstermektedir. 'standart' için 54.32, 'reward_low_FP' için 53.73 ve 'reward_low_FN' için 69.54 skorları elde eden önerilen yaklaşım, sırasıyla NAB algoritmalarının ortalamasına göre %3.13, %2.70 ve %3.24 oranında bir iyileşme sağlamış, önemli bir gelişme kaydetmiştir. Bulgular, önerilen yaklaşımın sadece yüksek hassasiyetle anormallikleri tespit etmekle kalmayıp, aynı zamanda manuel yeniden kalibrasyon gerektirmeden değişen veri özelliklerine dinamik olarak uyum sağladığını göstermektedir. Bu çalışma, güvenilir izleme sağlayan ve potansiyel olarak etkin trafik yönetimi ve planlamayı kolaylaştıran sağlam bir trafik anomali tespit yöntemi önermektedir. Çalışmanın sonuçları, gerçek zamanlı veri izleme ve anormallik tespiti gerektiren diğer alanlara da genişletilebilir, farklı bağlamlar ve gereksinimlere uyum sağlayabilen ölçeklenebilir bir çözüm sunmaktadır.
Churn Analysis and Prediction With Decision Tree and Artificial Neural Network
(Kadir Has Üniversitesi, 2015) Çimenli, Safa; Arsan, Taner
Nowadays market competition is increased in logistic sector. Retention of customers due to the competition has gained importance. Retention of customers is more advantageous than gaining new customers. Gaining new customer has 5 units more than retention of existing customer. Especially telecommunication companies use churn analyzing and prediction. However competition increased in different sectors and they need churn analysis. In recent years logistic companies increased in Turkey, so retention of customer and churn analysis are important for logistic companies. Some logistic companies have churn committees and work on customer loyalty. This article includes churn analysis and prediction with decision tree and artificial neural network. In addition, this article includes comparison of 2 different methods for churn analysis. Article results show neural network better than decision for prediction. Because decision tree churn prediction rate is %81, Artificial Neural Networks rate is 97%.
Citation - Scopus: 1
An Open Software Architecture of Neural Networks: Neurosoft
(2004) Öğrenci, Arif Selçuk; Arsan, Taner; Saydam, Tuncay
Software architecture of generic distributed neural networks and its relevant information model have been developed. Principles of on-line architecture building training controlling (managing) and topological optimization guidelines are provided and extensively discussed.
Citation - WoS: 1
Citation - Scopus: 3
Analytical Expense Management System
(IEEE, 2009) Bozkuş, Zeki; Bisson, Christophe; Arsan, Taner
Although the development of communication technologies (e.g: UMTS ADSL) allowed the elaboration of multiple users' web applications (e.g. information storage) there are still many improvements on many applications to be done and uncovered areas. Expense management systems on web application area are still in their infancy. Expense management software is widely spread in companies and most of time supported by their intranet. These solutions are quite simple as they mainly collect the information related to the expenses and may propose a simple aggregation of these figures. The result is close to what an excel sheet provides.
Otomatik Varlık Getirisi Tahmini için Topluluk Öğrenme
(2024) Alnahas, Dima; Arsan, Taner
Bu tezin amacı, yeni tahmin modellerinin eğitimi, doğulanması ve test edilmesindeki zorlukları azaltılmış zaman maliyeti ve karmaşıklıkla ele alan bir makine öğrenimi operasyon mimarisi sağlamaktır. Bu mimari, birleştirme teknikleri yoluyla finansal zaman serisi tahmini için çeşitli tahmin modellerini bir araya getirmeye yönelik bir araç sağlar. Önerilen metodoloji, değişen ve ani piyasa davranışları için güvenilir bir tahmin üretmek amacıyla çoklu tahmin sonuçlarının entegrasyonunu araştırmaktadır. Bu mimarinin işlevselliği, Hareketli Ortalama Yakınsama Iraksama, Gizli Markov Modeli, Uzun Kısa Süreli Bellek ve Transformer modelleri gibi teknik analiz ve derin öğrenme teknikleri uygulanarak araştırılmaktadır. Bu çalışma, bu modellerin performansını üç farklı varlık sınıfı için incelemektedir.
Beyin Göçü ve Göç Tutumları Üzerine Türk İnternet Medyası Söylemlerinde Açıklanabilir Türkçe Metin Sınıflandırması
(2025) Yıldırım, Batuhan; Arsan, Taner
Bu çalışmada, beyin göçü ve göç tutumlarına dair sosyal medya duygu içerikleri ile internet haberlerinde kullanılan Türkçe metinlerin açıklanabilir sınıflandırılmasına yönelik bütüncül bir çerçeve sunulmaktadır. Bunun için, sosyologlar tarafında toplanıp etiketlenmiş 2,343 haber makalesinden oluşan bir göç söylemi veri kümesi derlenmiş ve ana haber metinleri, Unicode normalleştirme, Türkçeye özgü lemmatizasyon ve özetleme yöntemleri ile 978 alt-kelime uzunluğunda vektörlere dönüştürülmüş ve bu veride metnin okuyucuya olan etkisi'ni temsil eden tonlama sütunu, pozitif ve negatif olacak şekilde sınıflandırma etiketleri olarak belirlenmiştir. Eğitimde Sadece Kodlayıcı (BERT), Sadece Kod Çözücü (GPT), Sadece Maskelenmiş Kod Çözücü (MaskedOnly) ve Kodlayıcı–Kod Çözücü (T5) olmak üzere çeşitli Transformer mimarileri test edilmiş, çapraz-dikkat mekanizmasına odaklanılması sebebiyle GPT ve T5 mimarileri ile devam edilmiştir. Etiketlerin doğruluğunu, gizli katman çıktılarının hizalanması ve potansiyel anahtar kelime gruplarını belirlemek için, yeni bir küme tutarlılık kaybı fonksiyonu aracılığı ile veriler uygun gruplara ayrılmış, YAKE, RAKE, KeyBERT1, KeyBERT2, BERTopic ve LDA ile elde edilen kümelere özgü anahtar kelimeler elde edilmiştir.Katman ve baş düzeyinde hesaplanan seyreklik, Kullback–Leibler sapması ve SHAP tabanlı katkı analizleri; alt katmanın genel bilgi topladığını, üst katmanın ise sınıf ayırıcı belirteçlere odaklandığını ortaya koymuş, belirli başların merkez anahtar kelimelere odaklandığı çapraz dikkat haritaları ile gözlemlenmesi sayesinde çapraz-dikkat mekanizmasının açıklanabilirlik için uygunluğunu gözler önüne sermiştir. Önerilen sistem, göç haberlerinde % 79.52 doğruluk oranına ve % 79.32 ağırlıklı F1 skoruna ulaşmıştır. Bu çalışma, düşük kaynaklı ve yüksek riskli metinsel uygulamalar için güvenilir Türkçe açıklanabilir Transformer modellerine dair ilk bütüncül altyapıyı sunmaktadır.
Citation - WoS: 1
Improvement of Indoor Positioning Accuracy of Ultra-Wide Band Sensors by Using Big Bang-Big Crunch Optimization Method
(Pamukkale Univ, 2018) Arsan, Taner
Ultra-wide Band technology is an emerging technology that offers successful solutions in many indoor positioning systems and performs better than other methods. In this study an indoor positioning system using Ultra-wide Band (UWB) sensors was developed and it was aimed to increase the accuracy level of the standard equipment with the additional algorithms used while reducing the average error. For this purpose the Big Bang-Big Crunch (BB-BC) optimization method has been applied to the experimental indoor positioning system and the positive effect on the measurement accuracy has been proved by the tests made. An area of 39.76 m(2) was selected as a test area of 7.35 m x 5.41 m and three different Ultra-wide Band receivers were installed at a height of 2.85 m on a specially designed ceiling system and a total of 10.920 measurements were taken from 182 test points for 60 seconds. By correcting the measurement results with the Big Bang Big Crunch optimization algorithm the average error was reduced from the previous 20.72 cm to 15.02 cm thus the accuracy of the measurement results were improved.