document

Bloom weighted bounds for sparse forms associated to commutators

Lerner, Andrei K. (author), Lorist, E. (author), Ombrosi, Sheldy (author)

In this paper we consider bilinear sparse forms intimately related to iterated commutators of a rather general class of operators. We establish Bloom weighted estimates for these forms in the full range of exponents, both in the diagonal and off-diagonal cases. As an application, we obtain new Bloom bounds for commutators of (maximal) rough...

journal article 2024

document

Designomics: The Role of Financial Literacy in Design Innovation

Anwar-Hameed, Amir (author)

Financial literacy is an essential component in design innovation projects, holding the potential to transform both the practice and education of design. The capacity to make effective financial decisions, encompassing knowledge, skills, and self-efficacy, is pivotal in the context of innovation (Warmath & Zimmerman, 2019). This capacity...

master thesis 2023

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Measuring students’ progress in Machine Learning: A case study of Decision Trees and Random Forests

Manoli, Calin (author)

Machine Learning (ML) is a rapidly growing field, therefore ensuring that students deeply understand such concepts is of key importance in order to certify that they are prepared for the challenges and opportunities of the future workforce. Despite this, literature on teaching ML and assessing students' understanding with regard to this field is...

bachelor thesis 2023

document

Algal Bloom Forecasting using Remote Sensing: Discovering the most predictive data modalities for Algal Bloom Forecasting

Gökçe, Tolga (author)

An algal bloom is defined as a rapid increase in common algae (phytoplankton) abundance in water bodies and it can occur when a group of certain environmental factors is combined. If the algae populations grow out of control, such algal blooms become problematic and cause damage to the ecosystem, such phenomena are called harmful algal blooms....

bachelor thesis 2023

document

Spatio-temporal embedding in deep learning for algal bloom forecasting

Bayraktar, Kerem (author)

The term ”Algal Bloom” refers to the accumulation of algae in a confined geological space. They may harm human health and negatively affect ecological systems around the area. Thus, forecasting algal blooms could mitigate the environmental and socio-economical damages. Particularly, the use of deep learning methods could distinguish underlying...

bachelor thesis 2023

document

Decision Support Framework for Optimal Reservoir Operation to Mitigate Cyanobacterial Blooms in Rivers

Kim, J. (author), Jonoski, Andreja (author), Solomatine, D.P. (author), Goethals, Peter L. M. (author)

Flow control flushing water from reservoirs has been imposed in South Korea for mitigating harmful cyanobacterial blooms (CyanoHABs) in rivers. This measure, however, can cause water shortage in reservoirs, as the measure adopting this flow control may require an additional amount of water which exceeds the water demand allocated to the...

journal article 2023

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Sustainability and Circularity Challenges in Aerospace Engineering Education: for the sustainability transition

Antony Joseph Valiaveetil, AJV (author)

The aerospace industry and TU Delft have set stringent climate goals for themselves and with each passing year, these goals seem all the more implausible. While sustainability in the aerospace industry is envisioned as futuristic, circular, net-zero aircraft, the change rarely comes from the grassroots. Although these technological solutions are...

master thesis 2022

document

A Guidline for Creating Assessments in Machine Learning Education

Çakıcı, Kerem (author)

Even though machine learning field is growing rapidly, research on education of machine learning is scarce. In this paper a research about creating assessments in the machine learning’s context is presented. The aim of the research is to answer how to design assessments that reliably show progress on a module in machine learning. Learning...

bachelor thesis 2022

document

Practical Multi-Party Private Set Intersection Protocols

Bay, Asli (author), Erkin, Z. (author), Hoepman, Jaap Henk (author), Samardjiska, Simona (author), Vos, Jelle (author)

Privacy-preserving techniques for processing sets of information have attracted the research community's attention in recent years due to society's increasing dependency on the availability of data at any time. One of the fundamental problems in set operations is known as Private Set Intersection (PSI). The problem requires two parties to...

journal article 2022

document

A Classification-Based Machine Learning Approach to the Prediction of Cyanobacterial Blooms in Chilgok Weir, South Korea

Kim, J. (author), Jonoski, Andreja (author), Solomatine, D.P. (author)

Cyanobacterial blooms appear by complex causes such as water quality, climate, and hydrological factors. This study aims to present the machine learning models to predict occurrences of these complicated cyanobacterial blooms efficiently and effectively. The dataset was classified into groups consisting of two, three, or four classes based on...

journal article 2022

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Instruction Flow-based Detectors against Fault Injection Attacks

Köylü, T.C. (author), Reinbrecht, Cezar (author), Brandalero, Marcelo (author), Hamdioui, S. (author), Taouil, M. (author)

Fault injection attacks are a threat to all digital systems, especially to the ones conducting security sensitive operations. Recently, the strategy of observing the instruction flow to detect attacks has gained popularity. In this paper, we provide a comparative study between three hardware-based techniques (i.e., recurrent neural network (RNN)...

journal article 2022

document

Preventing Soft Errors and Hardware Trojans in RISC-V Cores

Annink, Edian B. (author), Rauwerda, Gerard (author), Hakkennes, Edwin (author), Menicucci, A. (author), Di Mascio, S. (author), Furano, Gianluca (author), Ottavi, Marco (author)

Soft errors in embedded systems' memories like single-event upsets and multiple-bit upsets lead to data and instruction corruption. Therefore, devices deployed in harsh environments, such as space, use fault-tolerant processors or redundancy methods to ensure critical application dependability. Another rising concern in secure, critical space...

conference paper 2022

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Adding Bloom to High-Dynamic-Range Tone Mapping

Vogel, Ricardo (author)

We present a technique for enhancing high-dynamic-range tone mapping algorithms by adding the bloom effect to bright areas. Bloom is based on the fact that real-life lenses convolve light and make bright areas emit a glow. The algorithm takes a set of images with different exposures as input, and performs a tone mapping algorithm on these. It...

bachelor thesis 2021

document

The Structure–Property Correlations in Dry Gelatin Adhesive Films

Mosleh, Yasmine (author), de Zeeuw, Willem (author), Nijemeisland, M. (author), Bijleveld, J.C. (author), van Duin, Paul (author), Poulis, J.A. (author)

Gelatins are proteinaceous natural materials that are widely used in areas such as conservation and restoration of artifacts as adhesives and consolidants, in pharmaceutics as drug delivery carriers, and in the food industry as structurants. Herein, type A porcine gelatin adhesive films are prepared via solution casting method and their...

journal article 2020

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LearningQ: A Large-scale Dataset for Educational Question Generation

Chen, G. (author), Yang, J. (author), Hauff, C. (author), Houben, G.J.P.M. (author)

We present LearningQ, a challenging educational question generation dataset containing over 230K document-question pairs. It includes 7K instructor-designed questions assessing knowledge concepts being taught and 223K learner-generated questions seeking in-depth understanding of the taught concepts. We show that, compared to existing datasets...

conference paper 2018

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Spatial identification of critical nutrient loads of large shallow lakes: Implications for Lake Taihu (China)

Janssen, Annette B.G. (author), de Jager, Victor C.L. (author), Janse, Jan H. (author), Kong, Xiangzhen (author), Liu, S. (author), Ye, Qinghua (author), Mooij, Wolf M. (author)

Ongoing eutrophication frequently causes toxic phytoplankton blooms. This induces huge worldwide challenges for drinking water quality, food security and public health. Of crucial importance in avoiding and reducing blooms is to determine the maximum nutrient load ecosystems can absorb, while remaining in a good ecological state. These so...

journal article 2017

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Thermally destratifying lakes against blue algae with rising air bubbles

Hekstra, M.A. (author)

Mixing systems are used in deep lakes to prevent blue algae from rapidly growing. Air bubbles rise from the bed, dragging water from below upwards. The resulting vertical circulation suppresses blue algae growth. However, these systems demand electricity of about €25,000 per km2 per year. The airlift promises to mix the water more efficiently,...

master thesis 2015

document

Coagulation and ultrafiltration in seawater reverse osmosis pretreatment

Tabatabai, S.A.A. (author)

Seawater desalination is a globally expanding coastal industry with an installed capacity of over 80 million m3/day. Algal blooms pose a challenge to the operation of seawater reverse osmosis (SWRO) membranes and pre-treatment systems due to high concentrations of algal cells and algal organic matter (AOM) present in the seawater. During such...

doctoral thesis 2014

document

Algal blooms and Membrane Based Desalination Technology

Villacorte, L.O. (author)

Seawater desalination is rapidly growing in terms of installed capacity (~80 million m3/day in 2013), plant size and global application. An emerging threat to this technology is the seasonal proliferation of microscopic algae in seawater known as algal blooms. Such blooms have caused operational problems in seawater reverse osmosis (SWRO) plants...

doctoral thesis 2014

document

A generic and adaptive aggregation service for large-scale decentralized networks

Pournaras, E. (author), Warnier, M. (author), Brazier, M.T. (author)

Aggregation functions are used in distributed environments to make system-wide information locally available in the nodes of a network. The computation of different aggregation functions, e.g., SUMMATION, AVERAGE, MAXIMUM etc., in large-scale distributed systems is challenging and crucial for a wide range of applications. This is especially the...

journal article 2013