Dept. of Electrical and Electronics Engineering - Master's degree: Recent submissions
Now showing items 1-20 of 530
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Adaptive energy management for solar energy harvesting wireless sensor nodes
(Bilkent University, 2018-09)Wireless Sensor Networks (WSN) will have a key role in the upcoming era of the Internet of Things (IoT) as they will be forming the basis of communication infrastructure. Energy harvesting has been a widely used instrument ... -
Queuing analysis of the energy-delay trade-off in wireless networks
(Bilkent UniversityBilkent University, 2018-09)Energy-efficiency of wireless communication systems has been an important research topic in recent years. For such a system, a transmission profile is described by the transmission power and the modulation and coding ... -
Development and characterization of a direct detection fiber optic distributed acoustic sensor
(Bilkent University, 2018-09)Phase-sensitive optical time domain re ectometer (ø-OTDR) based distributed acoustic sensor (DAS) systems have attracted increasing attention in recent years due to their remarkable advantages in a wide range of industrial ... -
Improvement and comparison of complex B₁ mapping techniques for use in MREPT
(Bilkent University, 2018-09)Impedance imaging, (i.e., conductivity, , and permittivity, ) provides helpful information about contrast between healthy and malignant tissues. As one of the impedance imaging techniques, Magnetic Resonance Electrical ... -
Experimental and model based investigation of the effects of high stimulus presentation rate on code-modulated visual evoked potential based brain-computer interfaces
(Bilkent University, 2018-09)Objective. Previous studies on code-modulated visual evoked potentials (c- VEP) have yielded important results regarding the performance of c-VEP based brain-computer interfaces (BCIs) in recent years. Since, speed is ... -
Improved artificial neural network training with advanced methods
(Bilkent University, 2018-09)Artificial Neural Networks (ANNs) are used for different machine learning tasks such as classification, clustering etc. They have been utilized in important tasks and offering new services more and more in our daily ... -
User grouping in wireless networks with full duplex base stations and legacy mobile stations
(Bilkent University, 2018-08)Improving spectral efficiency is a key objective in next generation wireless networks. Recent advances in self-interference cancellation techniques made in-band full-duplex wireless communications possible. Unlike ... -
Low convective field artifact elimination using dielectric padding and multichannel receive in cr-MREPT conductivity images
(Bilkent University, 2018-08)Imaging the electrical conductivity of the tissues in RF frequencies is an important tool for medical diagnostic purposes along with the local specific absorption rate estimation that is closely related to MR safety ... -
Design, implementation and construction of an eight channel RF TEM array and its use in MR-EPT
(Bilkent University, 2018-08)Magnetic Resonance - Electrical Properties Tomography, aiming at reconstructing the electrical properties (EPs) at radio frequencies, has a continuously increasing importance in terms of identifying the cancerous tissues ... -
Experimental and model based investigation of period doubling phenomenon in human steady state visual evoked potential responses
(Bilkent University, 2018-08)Objective. Previous human Steady State Visual Evoked Potential (SSVEP) experiments have yielded different results regarding the range of stimulus frequencies in which Period Doubling (PD) behavior is observed. There also ... -
On mixed H2=H∞ controller design for systems with time delay
(Bilkent University, 2018-07)This study discusses mixed H2=H∞ controller design problem for uncertain Linear Time-Invariant (LTI) systems with a time delay. More precisely, the goal is to find an internally stabilizing controller that minimizes ... -
Multiphysics modeling of Ge2Sb2Te5 based synaptic devices for brain inspired computing
(Bilkent University, 2018-07)Modeling nanoscale devices that emulate the functionality of synapses of the biological brain is a fundamental operation for developing brain-inspired computational systems. Phase-change material based synaptic devices ... -
Online learning with recurrent neural networks
(Bilkent University, 2018-07)In this thesis, we study online learning with Recurrent Neural Networks (RNNs). Particularly, in Chapter 2, we investigate online nonlinear regression and introduce novel regression structures based on the Long Short ... -
Code design for energy harvesting and Joint energy and information transfer Using run length limited codes
(Bilkent University, 2018-07)Energy harvesting wireless networks and networks that bene t from wireless energy transfer have become popular in the last decade. In these networks, the users can obtain the required energy for transmission from an ... -
Electrically tunable plasmon induced transparency in hybrid metal-graphene structures
(Bilkent University, 2018-07)Hybrid metal-graphene structures offer design flexibility to manipulate and control light efficiently. These structures can be used to generate tunable plasmon induced transparency (PIT) in transmission and reflection mode. ... -
Interpolation of ionospheric modalities using kriging, co-kriging and spatio-temporal kriging
(Bilkent University, 2018-06)Long distance communication and navigation systems operating in the HF band use interacting signals as they travel through the ionosphere. It is important to accurately model ionospheric behavior to increase the performance ... -
An asymptotically optimal solution for contextual bandit problem in adversarial setting
(Bilkent University, 2018-05)We propose online algorithms for sequential learning in the contextual multiarmed bandit setting. Our approach is to partition the context space and then optimally combine all of the possible mappings between the partition ... -
Fast calibration and image reconstruction for magnetic particle imaging
(Bilkent University, 2018-05)Magnetic particle imaging (MPI) is a relatively new medical imaging modality that images the spatial distribution of magnetic nanoparticles (MNPs) administered to the body. For image reconstruction with the system matrix ... -
Phase-correcting denoising for diffusion magnetic resonance imaging
(Bilkent University, 2018-05)Diffusion magnetic resonance imaging (MRI) is a low signal-to-noise ratio (SNR) acquisition technique when compared to anatomical MRI. Multiple acquisitions have to be averaged to overcome this SNR problem. However, ... -
A gate modulated digitally controlled modified class-E amplifier for on-coil application in MRI
(Bilkent University, 2018-04)The switch-mode RF power amplifiers, known for their high output power capability and good efficiency, have proved valuable for on-coil applications in MRI hardware. The class-D and class-E amplifier topologies have been ...
