Searched for: contributor%3A%22Zuniga%2C+Marco+%28graduation+committee%29%22
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Miao, Michael (author)
Due to recent developments in DNA sequencing technology, there is a growing abundance of available genomic data. To process this information for use in fields such as healthcare and forensics, raw sequencing data have to be processed using computationally intensive algorithms. Currently, one of the major bottlenecks in this processing pipeline...
master thesis 2023
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van Mierop, Ron (author)
The considerable increase in the number of devices needing connectivity, such as mobile phones and Internet of Things (IoT) devices, has led to an exponential rise in data volumes during the last years, that will surely continue over the next decade. Therefore, it will be increasingly challenging to provide sufficient RF resources. A novel...
master thesis 2023
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Ren, Liyuan (author)
For the development of automatic People Counting systems, radar is increasingly becoming a popular technology because of the increasingly stringent privacy requirements for people demographic information and the requirement to operate in a challenging environment. Because of the complexity of multi-target movement and the diversity of...
master thesis 2022
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Tian, Yuhang (author)
In this work, we propose FLVoogd, an updated federated learning method in which servers and clients collaboratively eliminate Byzantine attacks while preserving privacy. In particular, servers use automatic Density-based Spatial Clustering of Applications with Noise (DBSCAN) combined with S2PC to cluster the benign majority without acquiring...
master thesis 2022
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Dierick, Luc (author)
In recent years, the big data era has produced an increasing volume and complexity of data that requires processing. To analyze and process these large amounts of data, applications are being scaled on large clusters using distributed data processing frameworks. A more recent trend utilizes hardware accelerators to offload computationally...
master thesis 2022
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Chen, Qilin (author)
Convolutional neural networks (CNNs) are often pruned to achieve faster training and inference speed while also requiring less memory. Nevertheless, during computation, most modern GPUs cannot take advantage of the sparsity automatically, especially on networks with unstructured sparsity. Therefore, many libraries that exploit sparsity, have...
bachelor thesis 2022
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Starke, Zeddrich (author)
Block-chain technology is gaining momentum in both industry and academics. With<br/>this momentum there are a lot of potential gains, but also potential risk involved. This papers proposes a solution for security risks, like a man-in-the-middle-attack, of the permissioned block-chain distributed ledger software Hyperledger Fabric. A prototype is...
bachelor thesis 2022
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Nanhekhan, Kevin (author)
Smart contracts play an important role within the blockchain by ensuring that valid transactions are being recorded. However, there are critical concerns regarding the security and privacy of data within these blockchain applications. This research provides information on how the integration of the Trusted Platform Module can achieve more...
bachelor thesis 2022
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Deshamudre, Rohan (author)
Smart contracts allow for the collaboration and transaction processes between multiple parties/organisations to be automated and conducted in a neutral environment. In many situations these agreements are confidential and running a smart contract that contains private/sensitive information on a public blockchain network which is transparent and...
bachelor thesis 2022
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Chatterjee, Agniv (author)
Blockchain networks are increasingly recognized as a disruptive technology across sectors such as online services, finance, supply chain, administration etc. They are underpinned by smart contracts which provide programmatic instruction for the blockchain to operate. A major obstacle in the widespread adoption of blockchain technology is the...
bachelor thesis 2022
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SONG, TIANLI (author)
Big data analytics is one of the foundations for booming technologies such as machine learning, genetics/genomics, and computer vision. These big data applications require a large amount of data transfers for distributed and parallel processing. Networking is thus a crucial facilitator and could make big impact on big data processing.<br/><br/...
master thesis 2021
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Meral, Murat Kaan Meral (author)
Automated asset trading is a crucial method used by financial entities such as investment firms or hedge funds. It allows them to allocate their capital in order to maximize their rate of returns. In scientific literature, there are multiple models suggested to solve this problem. However, these models either lack the complexity to understand...
bachelor thesis 2021
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van der Woude, Thom (author)
Both the assignment problem and the multi-agent pathfinding problem are common problems in the fields of robotics and transportation. The joint problem of multi-agent pathfinding extended with the assignment of goals to agents, matching, is something that has not been studied much; few methods exist today that solve it. In this work, two types...
bachelor thesis 2021
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de Bruin, Ivar (author)
This paper extends the Multi-Agent Pathfinding (MAPF) algorithm, A*+ID+OD, to be able to solve problems with matching. This extension still keeps the optimal and completeness properties of the original algorithm. Matching is added to the algorithm in both an exhaustive and heuristic manner. Exhaustive matching is further improved by adding a new...
bachelor thesis 2021
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Dönszelmann, Jonathan (author)
Multi-agent pathfinding (MAPF) is the process of finding collision-free paths for multiple agents. MAPF can be extended by grouping agents into teams. In a team, agents need to be assigned (or matched) to one of the team's goals such that the sum of individual cost} is minimised. This extension is called MAPF with matching (MAPFM). M* is a...
bachelor thesis 2021
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de Jong, Jaap (author)
For the Multi-Agent Pathfinding (MAPF) problem, a set of non-colliding paths must be found for multiple agents. In Multi-Agent Pathfinding with Matching (MAPFM), this problem is extended: agents and goals are added to a team and each agent has to navigate to a goal that belongs to the same team. In this paper, two extensions of the EPEA* MAPF...
bachelor thesis 2021
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Baauw, Robbin (author)
In the Multi-Agent Pathfinding with Matching (MAPFM) problem, agents from a team are matched with and routed towards one of their team's goals without colliding with other agents. The sum of path costs of all agents is minimized. In prior works, Conflict Based Min-Cost-Flow (CBM) has been proposed. This algorithm solves a similar problem that...
bachelor thesis 2021
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Jain, Akhil (author)
Ultrawideband technology can be used to measure the distance between two device equipped with ultrawideband transceivers. Multiple ultrawideband devices known as anchors can localize a device that supports ultrawideband communication after each anchor measures the distance between itself and the device. The anchor and the tag can measure the...
master thesis 2021
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van Ofwegen, Nathan (author)
Embeddedreal-time systems that have cost or energy constraints are usually limited inprocessing power and memory. This limitation typically leads to applyingsimpler execution models such as non-preemptive scheduling. A problem with anon-preemptive real-time system is that finding a schedule without causingdeadline misses is...
master thesis 2020
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Tulling, Simon (author)
Edge Devices and Artificial Intelligence are important and ever increasing fields in technology. Yet their combination is lacking because the neural networks used in AI are being made increasingly large and complex while edge devices lack the resources to keep up with these developments. Neural network model compression will allow these edge...
bachelor thesis 2020
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