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Recent Submissions

Dynamic Resource Management in Next Generation Networks based on Deep Q Learning
Aslan, Aysun; Bal Bozkurt, Gülce; Toker, Cenk (Institute of Electrical and Electronics Engineers (IEEE); 2021-1-07)
In next generation networks, with the increasing number of diverse mobile network service types, a major challenge lies in how to manage and support all mobile service users who have different Quality of Service (QoS) requ...
Covert Channel Detection Using Machine Learning
Çavuşoğlu, İmge Gamze; Alemdar, Hande; Onur, Ertan (2021-01-07)
A covert channel is a communication method that misuses legitimate resources to bypass intrusion detection systems. They can be used to do illegal work like leaking classified (or sensitive) data or sending commands to mal...
MDP based Decision Support for Earthquake Damaged Distribution System Restoration
Arpalı, Onur Yigit; Yılmaz, Uğur Can; Aydın Göl, Ebru; Güldür Erkal, Burcu; Göl, Murat (2020-12-16)
As the society becomes more dependent on the presence of electricity, the resilience of the power systems gains more importance. This paper develops a decision support method for distribution system operators to restore el...
Named entity recognition on morphologically rich language: exploring the performance of BERT with varying training levels
Kılıç, Yüksel Pelin; Dinç, Duygu; Karagöz, Pınar (null; 2020-12-13)
Dynamic Resource Management in Next Generation Networks with Dense User Traffic
Aslan, Aysun; Bal Bozkurt, Gülce; Toker, Cenk (IEEE; 2020-12-04)
With the era of the fifth generation (5G) networks, supporting all mobile service users who have different Quality of Service (QoS) requirements becomes the main challenge. To manage and satisfy the heterogeneous requireme...
A Novel SDN Dataset for Intrusion Detection in IoT Networks
Sarica, Alper Kaan; Angın, Pelin (2020-11-04)
The number of Internet of Things (IoT) devices and the use cases they aim to support have increased sharply in the past decade with the rapid developments in wireless networking infrastructures. Despite many advantages, th...
Just Noticeable Quantization Levels For High Dynamic Range Images
Sozer, Sevim Begum; Koz, Alper; Akyüz, Ahmet Oğuz; Zerman, Emin; Valenzise, Giuseppe; Dufaux, Frederic (2020-10-25)
Just noticeable quantization levels, which are conventionally used in picture coding, have been mainly developed for standard 8-bit images and low dynamic range (LDR) typical screens. The quantization levels however have n...
Accelerating Translational Image Registration for HDR Images on GPU
Alpay, Kadir Cenk; Aydemir, Kadir Berkay; Temizel, Alptekin (null; 2020-10-09)
High Dynamic Range (HDR) images are generated using multiple exposures of a scene. When a hand-held camera is used to capture a static scene, these images need to be aligned by globally shifting each image in both dimensio...
Bulut Tabanlı Ölçeklenebilir Toplu Taşıma Analizi
Şener, Cevat (null; 2020-10-08)
Yaşam sürerken gerçekleşenher tür olay, eylem veya benzerleri potansiyel veri kaynağı olarak görülebilir. Bu gibi verileri analiz ederek olguların iç yüzünü öğrenebilmekteyiz. Toplu taşıma konusunda da durum farklı değildi...
Characterization of Fixed Points of Spring-Mass Model with a Body Govde Eklenmis Yay-Kutle Modelinin Sabit Noktalarinin Karakterizasyonu
Karagoz, Osman Kaan; Sever, Izel; Dilsad Er, Guner; Saranlı, Uluç; Ankaralı, Mustafa Mert (2020-10-05)
© 2020 IEEE.The Spring Loaded Inverted Pendulum (SLIP) template has long been known to be an appropriate model for motion dynamics of legged systems. However, SLIP template does not define the stabilization of upper body w...
An Experimental Method to Determine Quantization Levels for High Luminance Patterns
Sözer, Sevim Begüm; Koz, Alper; Akyüz, Ahmet Oğuz; Zerman, Emin; Valenzise, Giuseppe; Dufaux, Frederic (2020-10-05)
The quantization levels, which forms an important basis for video coding, are mainly determined for 8-bit image representation and for low dynamic range (LDR) typical displays with a luminance level of 100-500 cd/ m 2 . Th...
A Deep Dive into Adversarial Robustness in Zero-Shot Learning
Yücel, Mehmet Kerim; Cinbiş, Ramazan Gökberk; Duygulu Şahin, Pınar (Springer; 2020-08-23)
Machine learning (ML) systems have introduced significant advances in various fields, due to the introduction of highly complex models. Despite their success, it has been shown multiple times that machine learning models a...
Analysis and control of a body-attached spring-mass runner based on central pivot point approach
Karagoz, O. Kaan; Sever, Izel; Saranlı, Uluç; Ankaralı, Mustafa Mert (2020-07-01)
© 2020 IEEE.The Spring-Loaded Inverted Pendulum (SLIP) template and its extensions have long been used as benchmark models for analyzing the dynamics of legged systems in biology and robotics. The fundamental SLIP model is...
A Digital Twins Approach to Smart Grid Security Testing and Standardization
Atalay, Manolya; Angın, Pelin (2020-06-01)
The exponential growth of the Internet of Things in recent years has created an ever larger cyber attack surface, introducing new security vulnerabilities for all computerized systems. Among the most significant of those s...
Graph convolutional networks for region of interest classification in breast histopathology
Aygüneş, Bulut; AKSOY, SELİM; Cinbiş, Ramazan Gökberk; KÖSEMEHMETOĞLU, KEMAL; Önder, Sevgen; Üner, Ayşegül (2020-03-16)
Deep learning-based approaches have shown highly successful performance in the categorization of digitized biopsy samples. The commonly used setting in these approaches is to employ convolutional neural networks for classi...
Generating positive bounding boxes for balanced training of object detectors
Oksuz, Kemal; Cam, Baris Can; Akbaş, Emre; Kalkan, Sinan (2020-03-01)
© 2020 IEEE.Two-stage deep object detectors generate a set of regions-of-interest (RoIs) in the first stage, then, in the second stage, identify objects among the proposed RoIs that sufficiently overlap with a ground truth...
Predicting the size of candidate document set for implicit web search result diversification
Ulu, Yasar Baris; Altıngövde, İsmail Sengör (2020-01-01)
© Springer Nature Switzerland AG 2020.Implicit result diversification methods exploit the content of the documents in the candidate set, i.e., the initial retrieval results of a query, to obtain a relevant and diverse rank...
Visualization of Feature Locations with the Tool FeatureDashboard
Entekhabi, Sina; Solback, Anton; Steghofer, Jan-Philipp; Berger, Thorsten (2020-01-01)
Modern development processes and issue trackers often use the notion of features to manage a software system. Features allow communicating system characteristics across stakeholders and keeping an overview understanding-es...
Transformation from SysML to RePast and Back
Çam, Sema; Görür, Bilge K.; Ledet, Joseph; Oğuztüzün, Mehmet Halit S.; Yilmaz, Levent (2020-01-01)
© 2020 The Authors. Published by Elsevier B.V.All rights reserved.Applying Model Driven Architecture (MDA) concepts and tools to Multi Agent Systems (MAS) is a topic of great interest in recent years. MDA intends to reduce...
Supervised learning methods for diversification of image search results
Goynuk, Burak; Altıngövde, İsmail Sengör (2020-01-01)
© Springer Nature Switzerland AG 2020.We adopt a supervised learning framework, namely R-LTR [17], to diversify image search results, and extend it in various ways. Our experiments show that the adopted and proposed varian...
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