Browsing Computer Science by Author "Özyeğin University"
Now showing items 261-280 of 546
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IEEE 802.11ac aǧların çok kullanıcılı ÇGÇÇ özelliǧi üzerine incelemeler
Çakmak, Kıvanç; Sunay, Mehmet Oğuz; Ercan, Ali Özer (IEEE, 2016)This paper studies the multi-user MIMO feature of IEEE 802.11ac networks that serve, along with IEEE 802.11ac nodes, also legacy IEEE 802.11n nodes. For this purpose, we develop a simulator that models the IEEE 802.11ac ... -
Illumination-guided inverse rendering benchmark: Learning real objects with few cameras
Yılmaz, Doğa; Kıraç, Mustafa Furkan (Elsevier, 2023-10)The realm of 3D computer vision and graphics has experienced exponential growth recently, enabling the creation of realistic virtual environments and digital representations of real-world objects. Central to this progression ... -
Image denoising using deep convolutional autoencoder with feature pyramids
Çetinkaya, Ekrem; Kıraç, Mustafa Furkan (TÜBİTAK, 2020)Image denoising is 1 of the fundamental problems in the image processing field since it is the preliminary step for many computer vision applications. Various approaches have been used for image denoising throughout the ... -
Imitation and mirror systems in robots through Deep Modality Blending Networks
Seker, M. Y.; Ahmetoglu, A.; Nagai, Y.; Asada, M.; Öztop, Erhan; Ugur, E. (Elsevier, 2022-02)Learning to interact with the environment not only empowers the agent with manipulation capability but also generates information to facilitate building of action understanding and imitation capabilities. This seems to be ... -
Impact of education and experience level on the effectiveness of exploratory testing: an industrial case study
Şahin Gebizli, Ceren; Sözer, Hasan (IEEE, 2017)Exploratory Testing (ET) is a widely applied approach in practice. This approach relies on the knowledge and experience of test engineers and technicians who perform ET. Hence, we aimed at evaluating the impact of education ... -
Implementation of SAND architecture Using SDN
Kalan, R. S.; Sayit, M.; Beğen, Ali Cengiz (IEEE, 2018)The server and network-assisted DASH (SAND) concept aims to increase the performance of Dynamic Adaptive Streaming over HTTP (DASH) systems. As being one of the future Internet technologies, SDN provides advantages to ... -
Implementing quantum finite automata algorithms on noisy devices
Birkan, U.; Köken, Özlem Salehi; Olejar, V.; Nurlu, C.; Yakaryılmaz, A. (Springer, 2021)Quantum finite automata (QFAs) literature offers an alternative mathematical model for studying quantum systems with finite memory. As a superiority of quantum computing, QFAs have been shown exponentially more succinct ... -
Improved homographic adaptation for keypoint generation in cross-spectral registration of thermal and optical imagery
Yağmur, İsmail Can; Ateş, Hasan Fehmi (SPIE, 2023)Autonomous navigation is an important area of research for aerial vehicles. Visual odometry and simultaneous localization and mapping algorithms are critical for the three-dimensional understanding of the environment. For ... -
Improving automatic emotion recognition from speech signals
Bozkurt, E.; Erzin, E.; Eroğlu Erdem, Ç.; Erdem, Tanju (International Speech Communications Association, 2009)We present a speech signal driven emotion recognition system. Our system is trained and tested with the INTERSPEECH 2009 Emotion Challenge corpus, which includes spontaneous and emotionally rich recordings. The challenge ... -
Improving models for model-based testing based on exploratory testing
Gebizli, C. Ş.; Sözer, Hasan (IEEE, 2014)Model-based testing facilitates automatic generation of test cases by means of models of the system under test. Correctness and completeness of these models determine the effectiveness of the generated test cases. Critical ... -
Improving models for model-based testing based on exploratory testing
Gebizli, Ceren Şahin (2014-08)Model bazlı test, test edilen sistemin modelleri sayesinde otomatik olarak test senaryoları oluşturulmasını sağlar. Bu modellerin doğruluğu ve tamlığı oluşturulan test senaryolarının etkinliğini belirler. Genelde manuel ... -
Improving regression performance on monocular 3D object detection using bin-mixing and sparse voxel data
Balatkan, Eren; Kıraç, Mustafa Furkan (IEEE, 2021)Accurate and fast 3D object detection plays a role of paramount importance for safe and capable autonomous machines. LiDAR point cloud based methods have demonstrated impressive results, yet expensive LiDAR sensors make ... -
Improving server and client-side algorithms for adaptive streaming of non-immersive and immersive media
Akçay, Mehmet Necmettin (The ACM Digital Library,, 2021)HTTP adaptive streaming is a technique widely used in the internet today to stream live and on-demand content. Server and client-side algorithms play an important role in achieving a better user experience in terms of ... -
An in-depth look at prior art in fast round-robin arbiter circuits
Uğurdağ, Hasan Fatih; Baskirt, O. (Özyeğin University, 08.01.2011)Arbiters are found where shared resources exist such as busses, switching fabrics, processing elements. Round-robin is a fair arbitration method, where requestors get near-equal shares of a common resource or service. ... -
Increasing test efficiency by risk-driven model-based testing
Gebizli, C. Ş.; Kırkıcı, A.; Sözer, Hasan (Elsevier, 2018-10)We introduce an approach and a tool, RIMA, for adapting test models used for model-based testing to augment information regarding failure risk. We represent test models in the form of Markov chains. These models comprise ... -
Incremental analysis of large-scale system logs for anomaly detection
Astekin, M.; Özcan, S.; Sözer, Hasan (IEEE, 2019)Anomalies during system execution can be detected by automated analysis of logs generated by the system. However, large scale systems can generate tens of millions of lines of logs within days. Centralized implementations ... -
Inference management, trust and obfuscation principles for quality of information in emerging pervasive environments
Bisdikian, C.; Gibson, C.; Chakraborty, S.; Srivastava, M. B.; Şensoy, Murat; Norman, T. J. (Elsevier, 2014-04)The emergence of large scale, distributed, sensor-enabled, machine-to-machine pervasive applications necessitates engaging with providers of information on demand to collect the information, of varying quality levels, to ... -
Inferring cost functions using reward parameter search and policy gradient reinforcement learning
Arditi, Emir; Kunavar, T.; Ugur, E.; Babic, J.; Öztop, Erhan (IEEE, 2021)This study focuses on inferring cost functions of obtained movement data using reward parameter search and policy gradient based Reinforcement Learning (RL). The behavior data for this task is obtained through a series of ... -
Inferring human values for safe AGI design
Sezener, Can Eren (Springer International Publishing, 2015)Aligning goals of superintelligent machines with human values is one of the ways to pursue safety in AGI systems. To achieve this, it is first necessary to learn what human values are. However, human values are incredibly ... -
InfraGAN: A GAN architecture to transfer visible images to infrared domain
Özkanoglu, M. A.; Özer, Sedat (Elsevier, 2022-03)Utilizing both visible and infrared (IR) images in various deep learning based computer vision tasks has been a recent trend. Consequently, datasets having both visible and IR image pairs are desired in many applications. ...
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