Arsan, Taner

Profile Picture
Profile URL
https://hdl.handle.net/20.500.12469/6140
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
[email protected]
Main Affiliation
Computer Engineering
Status
Current Staff
Website
ORCID ID
0000-0002-4453-3218
Scopus Author ID
6506505859
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
AAB-2736-2019

Sustainable Development Goals

3

GOOD HEALTH AND WELL-BEING
GOOD HEALTH AND WELL-BEING Logo

3

Research Products

7

AFFORDABLE AND CLEAN ENERGY
AFFORDABLE AND CLEAN ENERGY Logo

2

Research Products

9

INDUSTRY, INNOVATION AND INFRASTRUCTURE
INDUSTRY, INNOVATION AND INFRASTRUCTURE Logo

1

Research Products

11

SUSTAINABLE CITIES AND COMMUNITIES
SUSTAINABLE CITIES AND COMMUNITIES Logo

5

Research Products

15

LIFE ON LAND
LIFE ON LAND Logo

1

Research Products

17

PARTNERSHIPS FOR THE GOALS
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3

Research Products
Documents

52

Citations

415

h-index

9

Go to Scopus profile
Documents

27

Citations

288

Go to WoS profile
Scholarly Output

73

Articles

22

Views / Downloads

518/8101

Supervised MSc Theses

15

Supervised PhD Theses

0

WoS Citation Count

218

Scopus Citation Count

330

WoS h-index

7

Scopus h-index

8

Patents

0

Projects

0

WoS Citations per Publication

2.99

Scopus Citations per Publication

4.52

Open Access Source

30

Supervised Theses

15

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JournalCount
2023 Innovations in Intelligent Systems and Applications Conference, ASYU 2023 -- 2023 Innovations in Intelligent Systems and Applications Conference, ASYU 2023 -- 11 October 2023 through 13 October 2023 -- Sivas -- 1941534
2024 Innovations in Intelligent Systems and Applications Conference, ASYU 2024 -- 2024 Innovations in Intelligent Systems and Applications Conference, ASYU 2024 -- 16 October 2024 through 18 October 2024 -- Ankara -- 2045623
2023 31st Signal Processing and Communications Applications Conference, Siu2
IEEE Access2
Computers & Electrical Engineering2
Current Page: 1 / 7

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Scholarly Output Search Results

Now showing 1 - 10 of 73
  • Thumbnail Image
    Conference Object
    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.
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    Conference Object
    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.
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    Master Thesis
    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.
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    Article
    Citation - WoS: 1
    Citation - Scopus: 6
    A novel IPTV framework for automatic TV commercials detection, labeling, recognition and replacement
    (Springer, 2023) Arsan, Taner; Bulut, Enes Emre; Eren, Berk; Uzgor, Ahmet; Yolcu, Selcuk
    Advertisements are one of the most important way for companies to access their customers. In this context, televison commercials are gaining significant importance in many sectors daily, and it is crucial for companies to promote their products in the best way. This creates a big rivalry between companies. From this point of view, we have created an IPTV Framework that can automatically detect commercials of rival companies and replace them with desired commercials for companies to help them highlight their products to their customers. We have benefited from monochrome frames to detect the Livestream commercial block and proposed a fingerprint algorithm to create an automatic commercial database. We can easily recognize the commercials, and we can mask the commercials of rival companies with these techniques. We have tested our algorithm in real-time by streaming a recorded broadcast from a server of a specific TV channel. Experimental results show that our algorithm provides high accuracy in real-time commercial recognition.
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    Master Thesis
    Dynamic Load Balancing in Distributed Systems: “hands of God” in Parallel Programming With Mpi
    (Kadir Has Üniversitesi, 2014) Tabrizi, Aliakbar Sadeghi Khameneh; Arsan, Taner
    in today’s technology what really is missing in computer systems is more artificial intelligence and in the same time implanting lots of intelligence in computer systems is not as easy as it sounds but even one step ahead to make computer software to act more efficient and intelligent is noteworthy. MPiCH is a message passing interface framework designed to be the host for parallel programs but like too many other great programming frameworks development of MPiCH is ongoing and once a while we are witnessing new updates which mostly these updates are in order to support more functionality and performance improvement updates are more rare. One of the issues that happened while we were working on Snake in the box problem (more details on this problem could be found in Wikipedia) with my parallel programming Professor Dr Turgay Altilar in Kadir Has University was lack of intelligence in the parallel version of the algorithm of Snake in the box in MPiCH framework. -- Abstract'tan.
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    Article
    Citation - WoS: 13
    Citation - Scopus: 16
    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.
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    Conference Object
    Citation - WoS: 12
    Citation - Scopus: 17
    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.
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    Article
    Büyük Patlama Büyük Çöküş Optimizasyon Yöntemi ile Ultra Geniş Band Sensörlerinin İç Mekân Konum Belirleme Doğruluklarının İyileştirilmesi
    (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.
  • Thumbnail Image
    Master Thesis
    Endüstriler için Öngörücü Bakım Analizi
    (2023) Sünetçioğlu, Selin; Arsan, Taner
    Bu çalışma Rastgele Orman, Karar Ağacı, Naive Bayes, Lojistik Regresyon, Destek Vektör Makinesi ve Uzun Kısa Süreli Bellek algoritmalarını kullanarak sensör verilerine yönelik hataları tahmin etmeyi amaçlamaktadır. Proje, olası hataları tespit edebilme ve sensör verilerini kullanarak arızaları tahmin edebilecek şekilde sensör parametreleri verilerinden sonuçlar çıkarmaya odaklandı. Arızayı öngören bu analiz, Kaggle'ın pompa sensörü veri seti aracılığıyla incelenmiştir. Bu bir ikili sınıflandırma problemidir ve gelecekteki gözlemleri tahmin etmek ve bunları pozitif bir etiket (normal) veya negatif bir etiket (broken) olarak sınıflandırmak için geçmiş pompa sensörü verilerini kullanarak zaman serisi analizi gerçekleştirir. Bir enerji santralinde çok sayıda pompa sistemi bulunur. Bunlar enerji üretiminin ana kaynaklarıdır. Sürekli güç beslemesini sağlamak için pompa sistemi mükemmel durumda tutulmalıdır. Sistemdeki pompalardan birinin arızalanması, elektrik üretiminde geçici bir düşüşe ve hatta tamamen kesintiye neden olabilir. Arızaların önceden öngörülmesi durumunda bu durum önlenebilir. Bu nedenle, büyük mali kayıpları önlemek için başarısızlığı erken tahmin etmek önemlidir. Bu nedenle bu tez, pompa sensörlerindeki kestirimci bakıma odaklanmıştır. Ayrıca amaç, en iyi algoritmayı seçmek için algoritmaların performansının karşılaştırılmasıdır. Kestirimci bakım, endüstrilerin bu hataları önlemesinde faydalıdır.
  • Thumbnail Image
    Conference Object
    A Software Component Architecture for Adaptive and Predictive Rate Control of Video Streaming
    (Springer, 2008) Arsan, Taner; Saydam, Tuncay
    Quality of Service and Transmission Rate Optimization in live and on-demand video streaming is a very important issue in lossy IP networks. Infrastructure of the Internet exhibits variable bandwidths delays congestions and time-varying packet losses. Because of such attributes video streaming applications should not only have good end-to-end transport layer performance but also a robust rate control optimization mechanisms. This paper gives an overview of video streaming applications and proposal of a new software architecture that controls transport QoS and path and bandwidth estimation. Predictive Control is one of the best solutions for difficult problems in control engineering applications that can be used in Internet environment. Therefore we provide an end-to-end software architecture between the video requesting clients their destination servers distant streaming servers and video broadcasters. This architecture contains an important Streaming Server Component with Application Layer QoS Manager and Transport Layer Path and Bandwidth Estimator. QoS Manager considers the necessary parameters such as network delay packet loss distortions round trip time channel errors network discontinuity and session dropping probability to make video streaming more efficient and to provide required video quality. Transport Path and Bandwidth Estimator on the other hand provides transmission rates to Destination Servers for optimum video streaming. The paper provides and discusses a software component model of video streaming.