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Oldenhuis, Job (author)The drilling industry faces the challenge of moving away from conventional maintenance strategies to maximise operational efficiency. This thesis introduces a holistic approach to land drilling rig Predictive Maintenance (PdM), integrating component maintenance into system-level decision-making. By taking the operations of the whole system into...master thesis 2024
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van Gent, Tjeerd (author)Transition zones in railway tracks are locations with an abrupt change in stiffness in the vertical rail supporting structure. These locations are typically located as approaches near engineering structures where there is a sudden change in track substructure. Due to these abrupt changes the dynamic forces of the wheel-rail interaction on the...master thesis 2024
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Urgilez Vinueza, A.R. (author)Landslide activity in the Andes remains an ongoing natural hazard with significant implications for regional development. Slow-moving landslides, while not typically resulting in catastrophic outcomes, can still cause substantial damage to critical infrastructure, including roads, buildings, crops, and hydropower dams. In southeast Ecuador, slow...doctoral thesis 2024
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Pols, C.F.J. (author)This article presents an experimental setup capable of conducting various experiments. The setup is used to accurately determine the acceleration due to gravity using either the pendulum or free fall experiment, as well as to allow students to conceive and conduct their own experiment. We discuss the design of the setup and the experiments...journal article 2024
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Unsiwilai, S. (author), Shen, C. (author), Zeng, Y. (author), Wang, L. (author), Nunez, Alfredo (author), Li, Z. (author)This study presents a measuring framework for railway transition zones using a case study on the Swedish line between Boden and Murjek. The final goal is to better understand the vertical dynamics of transition zones using hammer tests, falling weight measurements, and axle box acceleration (ABA) measurements. Frequency response functions ...journal article 2024
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Procaccini, Marco (author), Sahebi, Amin (author), Barbone, Marco (author), Luk, Wayne (author), Gaydadjiev, G. (author), Giorgi, Roberto (author)Processing graphs on a large scale presents a range of difficulties, including irregular memory access patterns, device memory limitations, and the need for effective partitioning in distributed systems, all of which can lead to performance problems on traditional architectures such as CPUs and GPUs. To address these challenges, recent...conference paper 2024
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Rocchetta, Roberto (author), Zhan, Zhouzhao (author), van Driel, W.D. (author), Di Bucchianico, Alessandro (author)Lifetime analyses are crucial for ensuring the durability of new Light-emitting Diodes (LEDs) and uncertainty quantification (UQ) is necessary to quantify a lack of usable failure and degradation data. This work presents a new framework for predicting the lifetime of LEDs in terms of lumen maintenance, effectively quantifying the natural...journal article 2024
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Sluiskes, Marije (author), Goeman, Jelle (author), Beekman, Marian (author), Slagboom, Eline (author), van den Akker, E.B. (author), Putter, H. (author), Rodríguez-Girondo, Mar (author)Aging is a multifaceted and intricate physiological process characterized by a gradual decline in functional capacity, leading to increased susceptibility to diseases and mortality. While chronological age serves as a strong risk factor for age-related health conditions, considerable heterogeneity exists in the aging trajectories of...journal article 2024
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Wang, X. (author), Li, Zirui (author), Alonso-Mora, J. (author), Wang, Meng (author)Risk assessment is a crucial component of collision warning and avoidance systems for intelligent vehicles. Reachability-based formal approaches have been developed to ensure driving safety to accurately detect potential vehicle collisions. However, they suffer from over-conservatism, potentially resulting in false–positive risk events in...journal article 2024
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Wang, L. (author), Unsiwilai, S. (author), Zeng, Y. (author), Shen, C. (author), Hendriks, J.M. (author), Moraal, J. (author), Zoeteman, A. (author), Nunez, Alfredo (author), Dollevoet, R.P.B.J. (author), Li, Z. (author)Railway transition zones connecting conventional embankments and rigid struc-tures, such as bridges and tunnels, usually degrade much faster than other railway sections. Efficient health condition monitoring of transition zones is important for preventative track maintenance. In this paper, a methodology for monitoring rail-way transition zones...conference paper 2024
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Phusakulkajorn, W. (author), Hendriks, J.M. (author), Moraal, J. (author), Shen, C. (author), Zeng, Y. (author), Unsiwilai, S. (author), Bogojevic, B. (author), Asplund, Matthias (author), Zoeteman, A. (author), Nunez, Alfredo (author), Dollevoet, R.P.B.J. (author), Li, Z. (author)This work presents the results of a measurement campaign to demonstrate the effectiveness of the axle box acceleration (ABA) technology for detecting rail defects. The measurements were conducted along the Iron Ore line between Sweden and Norway for the IN2TRACK3 project. This line is mostly single-track with passenger-freight mixed traffic and...conference paper 2024
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LIN, Jinhuang (author)Recent trends in machine learning (ML) have placed a strong emphasis on power- and resource-efficient neural networks, as well as the development of neural networks on edge devices. Spiking neural net-works (SNNs), due to their event-based nature, are one of the most promising types of neural networks for low-power applications. To accelerate...master thesis 2023
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van Wissen, Alexis (author)Capable of both vertical take-off and landing and forward flight, tail-sitters are a versatile class of UAVs with a large range of potential applications. A variant of tailsitters using tilt-rotors instead of ailerons for pitch and roll control has been proposed to mitigate the reduced control authority at low to zero velocities. The control of...master thesis 2023
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Knops, Per (author)X-ray imaging systems play an important role in the diagnostic process of various medical conditions. Generating an accurate artificial X-ray image has multiple advantages. It allows for flexible configurations during generation. The resulting images can reduce testing time and cost, help the training of surgeons, and increase the amount of data...master thesis 2023
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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
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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
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Su, Kexin (author)General-purpose GPUs, renowned for their exceptional parallel processing capabilities and throughput, hold great promise for enhancing the efficiency of data analytics tasks. At the same time, recent developments in query execution engines have integrated the support of OLAP operations in a way that benefits from the zero serialization overhead...master thesis 2023
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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
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Shen, Zhaofeng (author)Nowadays, to reduce the dependence of devices on cloud servers, machine learning workloads are required to process data on the edge. Furthermore, to improve adaptability to uncontrolled environments, there is a growing need for on-chip learning. Limitations in power and area for edge devices have increased interest in low-cost neural network...master thesis 2023
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Yang, Yufeng (author)Event-based cameras promise new opportunities for smart vision systems deployed at the edge. Contrary to their conventional frame-based counterparts, event-based cameras generate temporal light intensity changes as events on a per-pixel basis, enabling ultra-low latency with microsecond-scale temporal resolution, low power consumption at...master thesis 2023