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Tadolini, Cesare (author)
The analysis of integrated front ends operated in the high-frequency regimes is addressed in this work. The analysis of these problems has been a critical bottleneck for decades due to the difficulties arising in adopting full-wave techniques. Assuming, as typical at lower frequencies, that the structures are planar leads to the inaccurate...
master thesis 2024
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Beijnen, Laurens (author)
Distributed feeding in photo-conducting antennas (PCAs) leads to simple optical designs, less prone to overheating, as well to terahertz (THz) antennas that can operate non-dispersively over wide bandwidths. However, the efficient analysis of pulsed PCAs was so far limited to architectures characterized by feeds small with respect to the THz...
master thesis 2023
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Speksnijder, Erik (author)
master thesis 2023
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CHEN, YANWEN (author)
A rigorous model based on classic electromagnetism to characterize the thermal radiation of real ohmic media is presented in this thesis. This model explains the available energy due to thermal agitation inside ohmic material based on Johnson's theory of thermal noise in electric circuits. The field is expanded in a finite number of modes ...
master thesis 2023
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Perdikis, Charalampos (author)
Inverse Reinforcement Learning (IRL) aims to recover a reward function from expert demonstrations in a Markov Decision Process (MDP). The objective is to understand the underlying intentions and behaviors of experts and derive a reward function based on their reasoning, rather than their exact actions. However, expert demonstrations can be...
bachelor thesis 2023
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Ikiz, Meric (author)
A key issue in Reinforcement Learning (RL) research is the difficulty of defining rewards. Inverse Reinforcement Learning (IRL) is a technique that addresses this challenge by learning the rewards from expert demonstrations. In a realistic setting, expert demonstrations are collected from humans, and it is important to acknowledge that these...
bachelor thesis 2023
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Vlasenko, Mikhail (author)
Inverse Reinforcement Learning (IRL) is a subfield of Reinforcement Learning (RL) that focuses on recovering the reward function using expert demonstrations. In the field of IRL, Adversarial IRL (AIRL) is a promising algorithm that is postulated to recover non-linear rewards in environments with unknown dynamics. This study investigates the...
bachelor thesis 2023
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Labbé, Rafael (author)
This paper aims to investigate the effect of conflicting demonstrations on Inverse Reinforcement Learning (IRL). IRL is a method to understand the intent of an expert, by only feeding it demonstrations of that expert, which may be a promising approach for areas such as self driving vehicles, where there are a lot of demonstrations from experts....
bachelor thesis 2023
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Zatezalo, Mateja (author)
Inverse Reinforcement Learning (IRL) is a machine learning technique used for learning rewards from the behavior of an expert agent. With complex agents, such as humans, the maximized reward may not be easily retrievable. This is because humans are prone to cognitive biases. Cognitive biases are a form of deviation from rationality that affects...
bachelor thesis 2023
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Tapia Barroso, Roderick (author)
Future communication scenarios will require massive Multiple-input multiple-output (MIMO) by the use of multi-beam antenna systems. Maximizing the number of beams for a given antenna size is paramount given that the space allocated to the antenna is often limited. This work aims at evaluating the maximum number of beams by analyzing the SIR in...
master thesis 2023
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Huiskes, Martijn (author)
Photoconductive antennas (PCAs) are an interesting candidate for imaging systems due to their relatively low cost and ability to provide a bandwidth of hundreds of GHz. The large bandwidth of PCAs allows for sub-millimeter depth resolution. However, the often-used single-element PCAs are intrinsically limited in the amount of power they can...
master thesis 2022
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Geng, Jinglin (author)
In this thesis a Volumetric Method of Moments (V-MoM) is developed to analyse accurately, and ease the design of small size lens antennas, and to estimate the power emitted by warm bodies constituted by realistic materials, and having arbitrary geometries. hanks to the application of the volume equivalence theorem and the use of a structured...
master thesis 2022
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Nerkar, Saurabh (author)
THz time-domain systems driven by photoconductive antennas (PCAs) promise a bandwidth of the order of hundreds of GHz. This characteristic can be utilized to build see-through radars with sub-mm resolution and a field of view comparable to the current mm-wave radars at a relatively low cost. These radars can solve the issues in the field of...
master thesis 2021
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Pelekanidis, Antonios (author)
Photoconductive antennas have been used extensively for THz radiation the last few years. In this thesis, we propose a photoconductive connected dipole array consisting of 36x36 elements that is used as a feed in a THz silicon lens and radiates in a band ranging from 100 GHz to 5 THz. Specifically, we compute theoretically the radiated field...
master thesis 2020
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Zhou, S. (author)
Photoconductive antennas (PCA) are widely used in contemporary THz systems, especially in terahertz time-domain spectroscopy. They are used to radiate and receive THz power. The study of the generation and reception of THz radiation involves both semiconductor theory, electromagnetics, and antenna theory. In this work, after a review of some...
master thesis 2015
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Dabironezare, S.O. (author)
This work focuses on designing and evaluating the performance of a dual-band passive imager for security applications at sub-mm wave regime. The bolometer based kinetic inductive detectors are used as incoherent detectors on the focal plane array of this imaging system. In order to realize a dual-band system, two absorber sets are designed to...
master thesis 2015
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Van Berkel, S.L. (author)
In this contribution, a quasi-analytical model is proposed allowing for fast characterization of a wide variety of printed transmission lines in terms of characteristic impedance, effective dielectric constant and losses. These losses are composed out of conductor losses, dielectric losses and radiation losses due to space and surface wave...
master thesis 2015
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Thippur Shivamurthy, H. (author)
In this thesis, the design of planar connected array of slots loaded with artificial dielectric layers (ADLs) is proposed to achieve wideband and wide-scan capabilities. ADLs are used due to the potential advantage of low surface-wave loss and high radiation efficiency. Whereas, the connected array of slots avoid the implementation of baluns...
master thesis 2014
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Vaddagiri, K. (author)
Cancer can be viewed as a curse on life of any man or woman. Although some tumors that are malignant can be curable, it comes at a cost of unbearable pain and mental trauma. X-ray based techniques are being used for many decades for detecting tumors. These techniques are applied at the expense of exposure to high ionized radiation levels....
master thesis 2012
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