Browsing Computer Science by Author "1"
Now showing items 201-220 of 232
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Statik ve dinamik analizler ile hesaplanan risklere dayalı olarak test modellerinin iyileştirilmesi
Şahin Gebizli, C.; Metin, D.; Sözer, Hasan (CEUR, 2015)Model bazlı test teknikleri, sistem kullanım modelinden test senaryolarının otomatik olarak oluşturulmasını sağlayarak verimliliği artırmaktadır. Prensip olarak sonsuz sayıda test senaryosu oluşturmak mümkündür; ancak bu ... -
Strategies for truth discovery under resource constraints
Etuk, A.; Norman, T. J.; Oren, N.; Şensoy, Murat (ACM, 2015)We present a decision-theoretic approach for sampling information sources in resource-constrained environments, where there is uncertainty regarding source trustworthiness. We exploit diversity among sources to stratify ... -
Stream analytics and adaptive windows for operational mode identification of time-varying industrial systems
Khodabakhsh, Athar; Arı, İsmail; Bakır, M.; Alagoz, S. M. (IEEE, 2018-09-07)It is necessary to develop accurate, yet simple and efficient models that can be used with high-speed industrial data streams. In this paper, we develop a mode identification technique using stream analytics and show that ... -
Subjective bayesian networks and human-in-the-loop situational understanding
Braines, D.; Thomas, A.; Kaplan, L.; Şensoy, Murat; Bakdash, J. Z.; Ivanovska, M.; Preece, A.; Cerutti, F. (Springer, 2018-03-21)In this paper we present a methodology to exploit human-machine coalitions for situational understanding. Situational understanding refers to the ability to relate relevant information and form logical conclusions, as well ... -
Supervising topic models with Gaussian processes
Kandemir, Melih; Kekeç, T.; Yeniterzi, Reyyan (Elsevier, 2018-05)Topic modeling is a powerful approach for modeling data represented as high-dimensional histograms. While the high dimensionality of such input data is extremely beneficial in unsupervised applications including language ... -
A survey on bitrate adaptation schemes for streaming media over HTTP
Bentaleb, A.; Taani, B.; Beğen, Ali Cengiz; Timmerer, C.; Zimmermann, R. (IEEE, 2019)In this survey, we present state-of-the-art bitrate adaptation algorithms for HTTP adaptive streaming (HAS). As a key distinction from other streaming approaches, the bitrate adaptation algorithms in HAS are chiefly executed ... -
SUTSEC: SDN Utilized trust based secure clustering in IoT
Çakmakçı, Kübra Kalkan (Elsevier, 2020-09-04)Internet of Things (IoT) technology consists of huge number of heterogeneous devices that create enormous amount of data. Providing a robust communication for billions of devices is one of the most significant challenges ... -
Symbol emergence in cognitive developmental systems: A survey
Taniguchi, T.; Uğur, E.; Hoffmann, M.; Jamone, L.; Nagai, T.; Rosman, B.; Matsuka, T.; Iwahashi, N.; Öztop, Erhan; Piater, J.; Worgotter, F. (IEEE, 2019-12)Humans use signs, e.g., sentences in a spoken language, for communication and thought. Hence, symbol systems like language are crucial for our communication with other agents and adaptation to our real-world environment. ... -
Synergistic human-robot shared control via human goal estimation
Amirshirzad, Negin; Kaya, Osman; Öztop, Erhan (IEEE, 2016)In this paper, we propose and implement a synergistic human-robot collaboration framework, where the robotic system estimates the intent or goal of the human operator while being controlled by the human in real-time. Having ... -
Taking inventory changes into account while negotiating in supply chain management
Yavuz, Celal; Süslü, Çağıl; Aydoğan, Reyhan (SciTePress, 2020)In a supply chain environment, supply chain entities need to make joint decisions on the transaction of goods under the issues quantity, delivery time and unit price in order to procure/sell goods at right quantities and ... -
Teaching robots to cooperate with humans in dynamic manipulation tasks based on multi-modal human-in-the-loop approach
Peternel, L.; Petric, T.; Öztop, Erhan; Babic, J. (Springer Science+Business Media, 2014-01)We propose an approach to efficiently teach robots how to perform dynamic anipulation tasks in cooperation with a human partner. The approach utilises human sensorimotor learning ability where the human tutor controls the ... -
TIDY: A trust-based approach to information fusion through diversity
Etuk, A.; Norman, T. J.; Şensoy, Murat; Bisdikian, C.; Srivatsa, M. (IEEE, 2013)Trust and reputation are significant components in open dynamic systems for making informed and reliable decisions. State-of-the-art information fusion models that exploit these mechanisms generally rely on reports from ... -
Towards an efficient anomaly-based intrusion detection for software-defined networks
Latah, Majd; Toker, L. (Institution of Engineering and Technology, 2018-08-24)Software-defined networking (SDN) is a new paradigm that allows developing more flexible network applications. A SDN controller, which represents a centralised controlling point, is responsible for running various network ... -
Towards automated aircraft maintenance inspection. A use case of detecting aircraft dents using mask r-cnn
Bouarfa, S.; Doğru, Anıl; Arizar, R.; Aydoğan, Reyhan; Serafico, J. (American Institute of Aeronautics and Astronautics Inc, AIAA, 2020)Deep learning can be used to automate aircraft maintenance visual inspection. This can help increase the accuracy of damage detection, reduce aircraft downtime, and help prevent inspection accidents. The objective of this ... -
Towards automatic selection of direct vs. iterative solvers for cloud-based finite element analysis
Muhtaroğlu, N.; Arı, İsmail; Koyun, E. (Civil-Comp, 2015)The new trend in engineering is to solve complex computational problems in the cloud using high performance computing (HPC) services provided by different vendors. In this paper, we compare performances of direct vs. ... -
Towards subtyped program generation in F#
Aktemur, Tankut Barış (ACM, 2011)Program Generation is the technique of combining code fragments to construct a program. In this work we report on our progress to extend F# with program generation constructs. Our prototype implementation uses a translation ... -
TRIBE: Trust revision for information based on evidence
Şensoy, Murat; de Mel, G.; Kaplan, L.; Pham, T.; Norman, T. J. (IEEE, 2013)In recent years, the number of information sources available to support decision-making has increased dramatically. However, more information sources do not always mean higher precision in the fused information. This is ... -
TruSD: Trust framework for service discovery among IoT devices
Çakmakçı, Kübra Kalkan (Elsevier, 2020-09-04)IoT provides an environment which enables access to a plethora of different services. In order to reach these services, devices need to decide if the providers are trustable or not. The decision to trust a node with whom ... -
Trust estimation and fusion of uncertain information by exploiting consistency
Kaplan, L.; Şensoy, Murat; de Mel, G. (IEEE, 2014)Agents may cooperate by communicating their opinions about various phenomena. These opinions are then fused by agents and used for informed decision-making. However, fusing opinions from diverse sources is not trivial - ... -
Trust estimation of sources over correlated propositions
Kaplan, L.; Şensoy, Murat (IEEE, 2018-09-05)This work analyzes the impact of correlated propositions when estimating the reporting behavior of information sources. These behavior estimates are critical for fusion, and traditional methods assume the propositions are ...
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