Searched for: subject%3A%22Embedded%255C%2BSystems%22
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Peppelman, Christian (author)
Non-invasive head-worn sensors are an upcoming field of interest. Most commercial sensors and sensors presented in research papers are limited in their capabilities and require frequent user interaction. In this Thesis, we research the possibilities of overcoming some of these limitations and extending the capabilities of these sensors.
master thesis 2023
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de Gruijl, David (author)
Much like wearable devices today, ingestible devices have emerged as a promising platform for continuous health monitoring, and potentially even intervention. Recent research has demonstrated the feasibility of ingestible devices with a retention mechanism, enabling them to remain in the stomach for weeks. Equipping these devices with sensors...
master thesis 2023
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Lut, Jasper-Jan (author)
Drones that perform complex autonomous movements require a perfect estimate of their current position. However, internal measurement unit (IMU) errors introduce drift in this estimate, leading to significant discrepancies between the predicted and actual location. Various solutions have been proposed to calibrate the IMU, including methods...
master thesis 2023
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de Beer, Arne (author)
This paper presents a study focused on developing an efficient signal processing pipeline and identifying suitable machine learning models for real-time gesture recognition using a testbed consisting of an Arduino Nano 33 BLE and three OPT101 photodiodes. Our research aims to address the challenges of limited computational power whilst...
bachelor thesis 2023
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de Winkel, J. (author)
The ecological impact of today’s battery-powered Internet of Things (IoT) is troubling. Technology advancements that reduce the reliance on batteries could blunt the environmental impact of the projected billions of IoT devices. With the emergence of low-cost, small, and high-performance microcontrollers, along with more efficient micro-energy...
doctoral thesis 2023
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Rol, Remy (author)
master thesis 2023
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Serné, Luke (author)
In recent years, computers have found their way into nearly every part of life. This led to the creation of many embedded devices, which are usually quite different from the more commonly known computers and each other. The cause of this is the diversity in constraints that are placed on these devices, in terms of size, weight, energy...
master thesis 2022
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Hoefnagel, Tom (author)
Debugging and testing battery-free intermittently-powered systems is notoriously difficult. This is not only due to the additional complexity of maintaining state through power failures but also due to the lack of proper tools to test and debug these systems. As a solution, we present DIPS: a fully-featured hardware debugger for battery-free...
master thesis 2022
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den Hoedt, Dirk (author)
When a patient is in a hospital, it is very important to monitor their vital signs. Doctors and nurses use this information to assess the condition of the patient. Most of the existing vital signs measurement devices need physical contact with the patient. This thesis focuses on a non-contact vital signs estimation method. Using a mmWave radar,...
master thesis 2022
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Prins, Nathan (author)
The growing field of research into batteryless or intermittent systems has enabled Internet of Things applications that were previously impossible. For example, the FreeBie system recently introduced Bluetooth Low-Energy (BLE)<br/>to intermittent devices, making medium to long range bi-directional communication a reality for the first time....
master thesis 2022
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Mohapatra, Sourav (author)
In this thesis we propose a novel memory architecture design that is robust to frequent memory failures targeting next generation low power embedded system. We explore the how the architecture works and perform detailed evaluations to show that our system achieves better performance than the state-of-the-art.
master thesis 2022
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Narchi, William (author)
This paper presents how a convolutional neural network can be constructed in order to recognise gestures using photodiodes and ambient light. A number of candidates are presented and evaluated, with the most performant being adopted for in-depth analysis. This network is then compressed in order to be ran on an Arduino Nano 33 BLE...
bachelor thesis 2022
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van de Water, Stijn (author)
This paper describes the design of an adaptable, low-cost, and energy efficient gesture detection system. The system leverages the ambient light available in the environment to perform Visible Light Sensing (VLS) using powerful Convolutional Neural Networks. The focus lies on designing a system that is capable of robust gesture detection in any...
bachelor thesis 2022
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Kortbeek, V. (author), Ghosh, Souradip (author), Hester, Josiah (author), Campanoni, Simone (author), Pawełczak, Przemysław (author)
Intermittently operating embedded computing platforms powered by energy harvesting require software frameworks to protect from errors caused by Write After Read (WAR) dependencies. A powerful method of code protection for systems with non-volatile main memory utilizes compiler analysis to insert a checkpoint inside each WAR violation in the...
conference paper 2022
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de Winkel, J. (author), Tang, Haozhe (author), Pawełczak, Przemysław (author)
We present an architecture for intermittently-powered wireless communication systems that does not require any changes to the official protocol specification. Our core idea is to save the intermediate state of the wireless protocol to non-volatile memory within each connection interval. The protocol state is then deterministically restored at...
conference paper 2022
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Sharma, S. (author), Simha, A. (author), Venkatesha Prasad, Ranga Rao (author), Gokhale, V. (author), Narayana, S. (author)
In this letter, we present Hermes - a novel, low-cost, wireless, batteryless, energy harvesting system for aerial vehicles for sensing wind speed and Angle of Attack (AoA) concurrently. Hermes comprises a set of piezoelectric films which flutter due to incoming wind and the characteristics of this aeroelastic flutter are utilized for...
journal article 2021
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Hofman, Stefan (author)
An increase in the performance of mobile devices has started a revolution in deploying artificial intelligence (AI) algorithms on mobile and embedded systems. In addition, fueled by the need for privacy-aware insights into data, we see a strong push towards federated machine learning, where data is stored locally and not shared with a central...
master thesis 2020
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Karavelas, Konstantinos (author)
Space has always been fascinating to humans, since the dawn of civilization. From the first astronomers and philosophers of ancient times, who looked at the night sky searching for answers, to the scientists and engineers of modern missions, commanding space probes to the edge of the solar system, space has always been at the epicenter of...
master thesis 2020
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Vette, Marek (author)
Ever since its invention in the 1930s, photoplethysmography (PPG) is a wide-spread technique used for health-monitoring. Via illumination of the human skin with a light source and capturing the light, an estimate of important physiological properties such as the heart rate can be made. This is commonly done with dedicated medical equipment, but...
master thesis 2020
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Nogd, Suhail (author)
With the proliferation of multicore platforms, the embedded systems world has shifted more and more towards multiprocessing to make use of high computing power and increased cyber functionalities. Although today multiprocessor platforms have been extensively adopted by real-time embedded systems, there exists a need for tools and techniques that...
master thesis 2020
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