Searched for: contributor%3A%22Al-Ars%2C+Z.+%28mentor%29%22
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de Laat, Willem (author)
The need to receive and process higher data rates in computer clusters is an ever-increasing trend. This also applies to radio-astronomic systems, which have become more distributed over the past decades, increasing data traffic between antennas and processing facilities. At the antenna, Field Programmable Gate Arrays (FPGAs) digitise the radio...
master thesis 2022
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Florescu, Stefanos (author)
Over the past 20 years, the cost of sequencing genomes has reduced drastically. As DNA data grows at an unprecedented rate, the need for fast and affordable software and hardware solutions for DNA analysis is higher than ever. A critical and time-consuming component in any DNA analysis pipeline is sequence alignment, which refers to mapping...
master thesis 2022
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Ma, Chenxu (author)
In order to ensure that autonomous driving vehicles can make appropriate driving decisions based on the surrounding situation, motion prediction algorithms are used to generate the driving decision output, which will then be used for guiding the trajectory of the vehicle. In general, the output of the motion prediction algorithm is a series that...
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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Donkers, Huub (author)
As the technology of quantum computers improves, the need to evaluate their performance also becomes an important tool for indexing and comparing of quantum performance. Current benchmarking proposals either focus on gate-level evaluation, are centered around a single performance metric, or only evaluate in-house quantum computers. This gives...
master thesis 2022
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TIAN, YONGDING (author)
Transferring composite data structures with variable-length fields often requires designing non-trivial protocols that are not compatible between hardware designs. When each project designs its own data format and protocols the ability to collaborate between hardware developers is diminished, which is an issue especially in the open-source...
master thesis 2022
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GUO, Zhuoran (author)
Online searching for healthcare information has gradually become a widely used internet case. Suppose a patient suffers the symptom but is unsure of the action he needs to take, a self-diagnosis tool can help the patient identify the possible conditions and whether this patient needs to seek immediate medical help. However, the accuracy and...
master 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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Mrahorović, Mirza (author)
Deep Neural Network (DNNs) have increased significantly in size over the past decade. Partly due to this, the accuracy of DNNs in image classification and speech recognition tasks has increased as well. This enables a great potential for such models to be applied in real-world applications. However, due to their size, the compute and power...
master thesis 2021
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Mesman, Koen (author)
Currently, quantum computing is making large steps to becoming a mature technology. Many companies are developing their own quantum hardware for both research and preparing for practical deployment. The main challenges in the past years have been an abundance of practical applications for the few-qubit Noisy Intermediate-Scale Quantum (NISQ)...
master thesis 2021
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Yönsel, Yüksel (author)
There has been an increasing interest in moving computation closer to storage in recent years due to significant improvements in memory technology. FPGAs were proven to be an exciting candidate for accelerating database workloads since they provide an energy-efficient, reconfigurable and high-performance computation platform. Therefore, FPGAs...
master thesis 2021
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Cao, Qingyuan (author)
This project is dedicated to implementing an unsupervised learning clustering method system for processing big data applied in Intel SGX. Intel SGX is a technology developed to meet the needs of the trusted computing industry similarly to ARM TrustZone, but this time for desktop and server platforms. It is a set of safety-related instruction...
master thesis 2021
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Luppes, Bob (author)
The increasing volume and latency requirements of big data impose challenges on the processing capacity of existing computing systems. FPGA accelerators can be leveraged to overcome these challenges, but questions remain as to how these accelerators are best deployed to accelerate big data frameworks. This work investigates how future big data...
master thesis 2021
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Smaran Adarsh, SMARAN ADARSH (author)
Quantum computing is an emerging technology that combines the principles of both computer science and quantum mechanics to solve computationally challenging problems significantly faster than the current classical computers. In this thesis, a proof of concept to generate hardware-executable quantum circuits for Noisy Intermediate-Scale Quantum ...
master thesis 2021
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Abrahamse, Robin (author)
The concept of memory disaggregation has recently been gaining traction in research. With memory disaggregation, data center compute nodes are able to directly access memory on adjacent nodes and can therefore overcome local memory restrictions, introducing a new data management paradigm for distributed computing. This paper proposes and...
bachelor thesis 2021
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Croes, Laura (author), Haggerty, Shea (author)
In September 2018, the Smart Teddy project was founded by a group of researchers within the Hague University of Applied Sciences1 in the Netherlands. The Smart Teddy project is a multidisciplinary project aiming to create an interactive system, using a teddy bear as a focus point, which collects the data needed in order to enable seniors with...
bachelor thesis 2021
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Usa, Lyana (author), Küçükçelebi, Taha (author)
With the increasing demand in home-care service to provide early intervention at the homes of seniors suffering from early stage dementia, the Smart Teddy prototype offers a technological solution to disburden caregivers, to promote and track the health and conditions of the senior and to prolong their independent life at home. The Smart Teddy...
bachelor thesis 2021
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Hamo, Alan (author), van der Spijk, Tim (author)
The amount of people dealing with dementia is rising globally. The amount of caretakers is, however, not. Therefore, technological aids are needed to support people dealing with dementia and relieve the stress on their caretakers. Current solutions provide tracking of people with dementia. Also, different robots exist that provide people with...
bachelor thesis 2021
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Smit, Jasper (author)
An application-specific instruction set processor (ASIP) can provide for higher power and computationalefficiency compared to general-purpose processors. These attributes are essential for implantable medicaldevices which often run computationally intensive tasks on a strict power budget. This thesis compilesa collection of benchmarks by porting...
master thesis 2021
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de Rooij, Martijn (author)
Low latency Convolutional Neural Network (CNN) inference research is gaining more and more momentum for tasks such as speech and image classications. This is because CNNs have the ability to surpass human accuracy in classication of images. For improving the measurement setup of gravitational waves, low latency CNNs inference are researched. The...
master thesis 2021
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