Searched for: mods_note_programme_s:"Embedded%5C+Systems"
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Jauhri, Snehal (author)
Imitation Learning is a technique that enables programming the behavior of agents through demonstration, as opposed to manually engineering behavior. However, Imitation Learning methods require demonstration data (in the form of state-action labels) and in many scenarios, the demonstrations can be expensive to obtain or too complex for a...
master thesis 2020
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James, Javier (author)
The company Kien 1 is developing Bluetooth Low Energy (BLE) speakers, consisting of a subwoofer and several satellite speakers. These subwoofer and satellite speakers will have a feature named Follow Me, which when enabled from a smartphone application, will play music only in the room where the user currently is. The BLE’s signals will...
master thesis 2020
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Donadoni, Laura (author)
The use of social robots increased in the past few years. Current technology, however, lacks in deploying a single robot for different applications without the help of a human being. Current solutions are time-consuming, labour intensive and hard to generalize. Being aware of its surroundings, in terms of environment and context, the robot can...
master thesis 2019
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Spessot, Davide (author)
Recent trends in platforms for the consumer market increased the need for low-power and reliable classification engines. Spiking Neural Network (SNN) is a new technology that promises to deliver 4 orders of magnitude more performance per watt than competing solutions. Moreover, the adoption of RADAR for gesture detection provides higher...
master thesis 2019
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de Winkel, Jasper (author)
Energy-harvesting devices have enabled Internet of Things applications that were impossible before. Power failures are the norm for these battery-less devices, imposing a challenge to maintain a continued notion of time on these energy restricted devices. To address this challenge we introduce a novel time measurement architecture for energy...
master thesis 2019
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Bhattacharjee, Anup (author)
With the proliferation of IoT devices across the globe, the adoption of IoT related technologies has been increasing rapidly. Newer technologies which fall in the category of Low Power Wide Area Network (LPWAN) have increased this adoption even further. A lot of research is being done in LPWAN licensed band as well as unlicensed band...
master thesis 2019
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Shiferaw, Yonatan (author)
LoRaWAN is amongst the most prominent LPWAN (Low Power Wide Area Networking) technologies and provides an operation mode, called Class B, where devices can be reached with limited latency. One of the most important features of LoRaWAN Class B is multicast, which allows a single transmission to be shared by multiple multicast group member end...
master thesis 2019
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Suwignyo, Haris (author)
Most wireless communication technologies have been using the Radio Frequency (RF) spectrum for decades. Due to the popularity of the Internet of Things (IoT), the RF spectrum has started to become densely populated. Researchers have begun to explore other bands of the electromagnetic spectrum that can be utilized as a communication media. One of...
master thesis 2019
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Wang, Yizhou (author)
In the past few years, convolutional neural networks (CNNs) have been widely utilized and shown state-of-the-art performances on computer vision tasks. However, CNN based approaches usually require a large amount of storage, run-time memory, as well as computation power in both training and inference time, which are usually used on GPU based...
master thesis 2019
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Wijtemans, Lars (author)
vailability of FPGAs is increasing due to cloud service offerings. In the wake of a new in-memory storage format specification, Apache Arrow, FPGAs are increasingly interesting for data processing acceleration in the big data domain. The Fletcher framework can be used to easily develop FPGA accelerated applications that access data stored in...
master thesis 2019
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Narayanan, Swarna (author)
Wireless sensor networks play a vital role in major technological developments. The success of such networks depend on the quality and reliability of data acquisition. Despite a lot of research involving network clock synchronization, the area of synchronous sampling has not been dealt in much detail. This thesis aims at studying and...
master thesis 2019
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Agrawal, Charu (author)
Imagine being lost in a desert with a bunch of friends, all of a sudden. Survival will be difficult. You will have mirages, distrust among friends and no means to leave landmarks on the sand. Unable to locate yourself, you will have no means to contact people with maps. The best you can do in such a situation is to stay together in the vicinity...
master thesis 2019
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Priadi Teguh Wibowo, Priadi (author)
Visualizing runners trajectory from video data is not straightforward because the video data does not contain the explicit information of which runners appear in the video. Only the visual information related to the runner, such as runner’s unique ID (called bib number), is available. To this end, we propose two automatic runner detection...
master thesis 2019
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Pathi Balaji, Vinay (author)
The off-side rule is the most complicated rule in soccer. Today, off-sides are determined with the help of referees running on the sides of the field or with the help of cameras. However, for lower league games the installation of a camera based system is very expensive. <br/><br/>This work proposes a sensor based system that can be worn by...
master thesis 2019
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Kortbeek, Vito (author)
Tiny batteryless sensing systems that do not have a constant supply of power have become an increasingly appealing way to gather data, in hard to reach places, at low cost. These systems suffer from frequent and unpredictable power loss. Preserving information through power failures is an ancillary challenge. Unfortunately, state-of-the-art...
master thesis 2019
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Garg, Priyanka (author)
The accelerating growth of the Internet of Things (IoT) has led to the development of many different communication protocols to enable the most optimal environment for the nature of IoT. Requiring long range and low power communication abilities, has resulted in LPWANs (low-power WANs); one such LPWAN is LoRaWAN (Long Range WAN) which is studied...
master thesis 2019
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Dürnay, Philipp (author)
Autonomous MAV are an emerging technology that supports a wide range of applications such as medical delivery or finding survivors in disaster scenarios. As flying in such missions is difficult the robust estimation of an MAV's state within its environment is crucial to ensure safe operation. In indoor scenarios, cameras are one of the...
master thesis 2018
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Irawan, Angga (author)
Controller synthesis techniques based on symbolic models or discrete abstractions are becoming increasingly attractive as they allow for synthesizing correct-by-design controllers of general nonlinear systems under complex behavioral requirements. However, its immense size as the consequence of the state-space explosion prohibits the approach to...
master thesis 2018
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Jagadeeshwar, Hemanth (author)
The Delfi-n3Xt was the second nanosatellite developed at the Delft University of Technology, and launched in 2013. Its successor Delfi-PQ is expected to be launched in first half of 2019. The Attitude of a satellite can be referred to as its orientation in space with respect to inertial reference frame. The Delfi-n3Xt was the first satellite...
master thesis 2018
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Goel, Ishu (author)
Many Advanced Driver Assistant Systems functionalities were introduced to boost vehicle safety, efficiency and comfort. Implementing these functionalities such that all the functional and temporal requirements are satisfied is challenging. This thesis is concerned with the temporal requirements. More precisely, it aims to identify and implement...
master thesis 2018
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