Browsing Faculty of Engineering by Title
Now showing items 1285-1304 of 3117
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Kamera ve ataletsel ölçüm birimi iç kalibrasyonu
(IEEE, 2013)In this paper, we address the problem of internal calibration of a camera and an inertial measurement unit (IMU). The internal calibration of a camera and an IMU requires the determination of the relative orientation and ... -
Kaskat nakagami kanallara sahip röleli sistemler için dağıtılmış uzay-zaman kafes kod tasarımı
(IEEE, 2010)Bu çalışmada, tek roleli, işbirlikli ve kodlamalı bir sistemin kanallarının kaskat Nakagami dağılımlı olması durumundaki hata performans analizi yapılmıştır. Sistemin genel çiftsel hata olasılığı üst sınırı kullanılarak ... -
Kerr–Newman black holes can be generically overspun
(Springer Nature, 2019-04-08)We construct thought experiments involving the perturbations of Kerr-Newman black holes by neutral test fields to evaluate the validity of the weak form of the cosmic censorship conjecture. We first show that neglecting ... -
A knowledge driven policy framework for internet of things
(ScitePress, 2017)With the proliferation of technology, connected and interconnected devices (henceforth referred to as IoT) are fast becoming a viable option to automate the day-to-day interactions of users with their environment—be it ... -
Kombi̇natoryal test tekni̇kleri̇ni̇n karmaşık olay i̇şleme motorlarında uygulanması
(IEEE, 2012)Testing practice has a critical place during the design, implementation and integration of software, hardware and complex systems composed of these. Cost of failures caused by bugs that could not be detected and fixed early ... -
Konuşmacı aradeğerlemeli SMM tabanlı metinden konuşma sentezleme si̇stemi
(IEEE, 2011)Hidden Markov Model (HMM) based text-to-speech (TTS) systems offer many advantages compared to the concatenative approach. One of those advantages is the ability to interpolate between different speakers to generate new ... -
Kuvvetlendir-ve-aktar tipi işbirlikli haberleşme sistemlerinde zaman senkronizasyonu
(IEEE, 2010)The synchronization problem in wireless communication systems becomes more important especially in cooperative communication systems than it is for other diversity systems because all terminals in the cooperation use their ... -
Land subsidence susceptibility mapping using interferometric synthetic aperture radar (InSAR) and machine learning models in a semiarid region of iran
(MDPI, 2023-04)Most published studies identify groundwater extraction as the leading cause of land subsidence (LS). However, the causes of LS are not only attributable to groundwater extraction. Other land-use practices can also affect ... -
Lane type classification & distance measurement system for autonomous vehicle
(IEEE, 2023)In this paper, lane type classification and lane distance measurement system are proposed for autonomous vehicles. In the proposed system, the perspective transformation method is applied to the image taken from the vehicle ... -
Lane-exchange mechanisms for truckload carrier collaboration
(Informs, 2011-02)Because of historically high fuel prices, the trucking industry's operating expenses are higher than ever and thus profit margins are lower than ever. To cut costs, the trucking industry is searching for and exploring new ... -
Language inference with multi-head automata through reinforcement learning
(IEEE, 2020)The purpose of this paper is to use reinforcement learning to model learning agents which can recognize formal languages. Agents are modeled as simple multi-head automaton, a new model of finite automaton that uses multiple ... -
Large deviations for local mass of branching Brownian motion
(Instituto Nacional de Matematica Pura e Aplicada, 2020)We study the local mass of a dyadic branching Brownian motion Z evolving in R-d. By 'local mass', we refer to the number of particles of Z that fall inside a ball with fixed radius and time-dependent center, lying in the ... -
Large deviations principle for discrete-time mean-field games
(Springer, 2021-11)In this paper, we establish a large deviations principle (LDP) for interacting particle systems that arise from state and action dynamics of discrete-time mean-field games under the equilibrium policy of the infinite-population ... -
A large neighborhood search algorithm and lower bounds for the variable-sized bin packing problem with conflicts
(Elsevier, 2023-08-01)In this paper, we study the Variable-Sized Bin Packing Problem with Conflicts (VSBPPC). In VSBPPC, a set of items each with a certain size has to be packed into bins of various types. Bin types differ in terms of their ... -
Layered structure printed dipole antenna with integrated balun for phased array radars
(IEEE, 2018-04-24)A Layered structure printed dipole antenna using through via-hole mechanism has been proposed for phased array radars. For the dipole a low dielectric constant Rogers 5880 substrate has been used to stabilize the structure ... -
League scheduling and game bundling in sports industry
(Elsevier, 2014-08)Most sport clubs offer season tickets first and they allow purchasing single tickets at a later date. There are several decision problems within this context; the determination of the optimal time at which the switch from ... -
Learning and reasoning in complex coalition information environments: a critical analysis
(IEEE, 2018-09-05)In this paper we provide a critical analysis with metrics that will inform guidelines for designing distributed systems for Collective Situational Understanding (CSU). CSU requires both collective insight - i.e., accurate ... -
Learning in discrete-time average-cost mean-field games
(IEEE, 2021)In this paper, we consider learning of discrete-time mean-field games under an average cost criterion. We propose a Q-iteration algorithm via Banach Fixed Point Theorem to compute the mean-field equilibrium when the model ... -
Learning mean-field games with discounted and average costs
(Microtome Publishing, 2023)We consider learning approximate Nash equilibria for discrete-time mean-field games with stochastic nonlinear state dynamics subject to both average and discounted costs. To this end, we introduce a mean-field equilibrium ... -
Learning medical suturing primitives for autonomous suturing
(IEEE, 2021)This paper focuses on a learning from demonstration approach for autonomous medical suturing. A conditional neural network is used to learn and generate suturing primitives trajectories which were conditioned on desired ...
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