Searched for: mods_note_programme_s%3A%22Computer%255C+Engineering%22
(1 - 20 of 178)

Pages

document
Verton, Pim (author)
As advances in silicone CMOS technology steadily plateau, new avenues of electronics design must be explored. Graphene Nanoribbons (GNRs) are a potential solution. Current GNR designs require wasteful exhaustive searches for the required device topologies, limiting the size of the solution space that can be searched. This is fine for simple...
master thesis 2024
document
Dobriţa, Alexandra (author)
Motivated by the desire to bring intelligent processing at the Edge, enabling online learning on resource- and latency-constrained embedded devices has become increasingly appealing, as it has the potential to tackle a wide range of challenges: on the one hand, it can deal with on-the-fly adaptation to fast sensor-generated streams of data under...
master thesis 2024
document
van der Kolk, Floris (author)
Machine learning on edge devices performs crucial identification or prediction tasks while limiting the amount of data that needs to be transmitted to more centralized computing nodes. However, strict area and energy requirements necessitate specialized hardware developed for the requirements of the device and model. This thesis is concerned...
master thesis 2024
document
Teunissen, Jamie (author)
This thesis delves into reconfigurable computing architecture (RCA) design based on emerging embedded non-volatile memory (eNVM) technologies. Traditional Field-Programmable Gate Arrays, while efficient, face inherent limitations when it comes to power consumption and reconfigurability, primarily due to their set amount of resources and reliance...
master thesis 2023
document
Heidekamp, Mathijs (author)
Resistive random access memory (RRAM) is an emerging memory technology that has the potential to replace dynamic random access memory (DRAM) or FLASH. The current memory technology suffer from scalability issues. RRAM can be used as potential replacement for Flash and DRAM. RRAM stores information using resistance states instead of charge. RRAM...
master thesis 2023
document
Muntenaar, Laura (author)
Demand for smart, Internet-connected devices and other electronics has increased dramatically in recent years. This increase in demand for technological devices, driven by advancements in Artificial Intelligence (AI), the Internet of Things (IoT), and autonomous systems, has exposed the digital system to potential security threats. As more...
master thesis 2023
document
Aouichi, Ahmed (author)
This thesis focuses on identifying and classifying defects in STT-MRAM technology using novel and machine learning approaches. The thesis discusses the basic principles of STT-MRAM and the semiconductor chip manufacturing process and test stages. The research aims to develop novel methods and explore machine-learning approaches to diagnose...
master thesis 2023
document
Huijbregts, Lucas (author)
Ultra-low power Edge AI hardware is in increasing demand due to the battery-limited energy budget of typical Edge devices such as smartphones, wearables, and IoT sensor systems. For this purpose, this Thesis introduces an ultra-low power event-driven SRAM-based Compute In-Memory (CIM) accelerator optimized for inference of Binary Spiking Neural...
master thesis 2023
document
Haenen, Jasper (author)
Genomics has revolutionized our understanding of evolution, hereditary diseases, and more. The advent of long-read DNA sequencers i.e. Oxford Nanopore Technologies' innovations, has opened many new research potentials in genomics. These sequencers produce significantly longer DNA reads, facilitating novel applications. However, this...
master thesis 2023
document
Cromjongh, Casper (author)
In spite of progress on hardware design languages, the design of high-performance hardware accelerators forces many design decisions specializing the interfaces of these accelerators in ways that complicate the understanding of the design and hinder modularity and collaboration. In response to this challenge, Tydi has been presented as an open...
master thesis 2023
document
Jomerts, Arvis (author)
3D NAND memory devices are intrinsically very cost sensitive, implying that their size, and hence logic area must be limited in order to acquire a chip which is able to conquer the competitive market price. Market forecasts of upcoming NAND products predict Input/Output (I/O) speed increase well beyond 2 Gb/s that is the current industry...
master thesis 2023
document
Hernandez Quintanilla, Tomás (author)
Similarity joins are operations which involve identifying similar pairs of records within one or multiple datasets. These operations are typically time-sensitive, as timely identification of relations can lead to increased profitability. Therefore, it is advantageous to analyze them using a stream processing system, which offers real-time...
master thesis 2023
document
Huang, Ruoyu (author)
Internet of Things (IoT) devices regularly process sensitive data, including personal information. Therefore, ensuring their security is crucial to avoid damage and prevent data breaches. The Advanced Encryption Standard (AES) is generally regarded as one of the most popular cryptographic algorithms for ensuring data security. Typical...
master thesis 2023
document
Karatza, Dimitra (author)
The current trend towards the integration of artificial intelligence (AI) and graphics processing unit (GPU) technologies has resulted in the development of embedded hybrid GPU-AI accelerators, which offer high computational power and energy efficiency. One of the key challenges in designing such accelerators is ensuring their timing correctness...
master thesis 2023
document
Li, Fanyuan (author)
Over development of the past three decades, control systems in automobiles have undergone a significant transformation, shifting from mechanical devices to a multitude of interconnected computers that oversee sensors, drivers, and passengers. In today's modern vehicles, 50-80 independent computers, commonly referred to as Electronic Control...
master thesis 2023
document
de Graaf, Daan (author)
Graph databases are systems to efficiently store and query large graphs. As graph databases grow in popularity, they are used to answer increasingly diverse and complex queries. However, graph databases typically have a very limited query language that cannot express arbitrary algorithms. As a result, many users treat the database as a storage...
master thesis 2023
document
Hu, Zhewen (author)
Over the last decade, applications like self-driving, image recognition and speech processing are having more and more impact on the society, all these applications are based on machine learning, and machine learning is all about metrics and vectors. For that reason, vector processors are getting attraction again.<br/><br/>Most of the previous...
master thesis 2023
document
Yao, Zhongbo (author)
This thesis aims at maximizing the profit of a strawberry producer while satisfying the retailer's demand and meeting other constraints. The amount of strawberries to be delivered to the retailer signed in the contract is the main decision variable to be optimized in the problem. Furthermore, the transportation scheduling is also optimized to...
master thesis 2023
document
Costantini, Jacopo (author)
RISC-V is an open-source Instruction Set Architecture that offers a simple, modular, and scalable design. Its extensions allow for customization and optimization based on specific execution workloads. One of these workloads could be quantum computing, which exploits the concepts of superposition and entanglement to manipulate qubits and perform...
master thesis 2023
document
Campolattaro, Jackson (author)
The n-body problem is the simulation of pair-wise interactions between n objects. This problem appears in many forms, with the classic example being the modeling of gravitational forces between point masses, necessary for cosmological simulations. Many approximation approaches have been devised to reduce the complexity of this problem.<br/><br/...
master thesis 2023
Searched for: mods_note_programme_s%3A%22Computer%255C+Engineering%22
(1 - 20 of 178)

Pages