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Shock-wave/turbulent boundary-layer interaction with a flexible panel
No full textThe dynamic coupling between a Mach 2.0 shock-wave/turbulent boundary-layer interaction (STBLI) and a flexible panel is investigated. Wall-resolved large-eddy simulations are performed for a baseline interaction over a flat-rigid wall, a coupled interaction with a flexible panel, and a third interaction over a rigid surface that is shaped according to the mean panel deflection of the coupled case. Results show that the flexible panel exhibits self-sustained oscillatory behavior over a broad frequency range, confirming the strong and complex fluid-structure interaction (FSI). The first three bending modes of the panel oscillation are found to contribute most to the unsteady panel response, at frequencies in close agreement with natural frequencies of the mean deformed panel rather than those for the unloaded flat panel. This highlights the importance of the mean panel deformation and the corresponding stiffening in the FSI dynamics. The time-averaged flow shows an enlarged reverse-flow region in the presence of mean surface deformations. The separation-shock unsteadiness is enhanced due to the panel motion, leading to higher wall-pressure fluctuations in the coupled interaction. Spectral analysis of the separation-shock location and bubble-volume signals shows that the STBLI flow strongly couples with the first bending mode of the panel oscillation. This is further confirmed by dynamic mode decomposition of the flow and displacement data, which reveals variations in the reverse-flow region that follow the panel bending motion and appear to drive the separation-shock unsteadiness. Low-frequency modes that are not associated with the fluid-structure coupling, in turn, are qualitatively similar to those obtained for the rigid-wall interactions, indicating that the characteristic low-frequency unsteadiness of STBLI coexists with the dynamics emerging from the fluid-structure coupling. Based on the present results, unsteady FSIs involving STBLIs and flexible panels are likely to accentuate rather than mitigate the undesirable features of STBLIs.Aerodynamic
Effective Mobility Management Policies and the Complexities of P&R Realization in the Brainport Region: A study on the impacts of mobility policies on mode choice by ASML employees and analysis of the implementation process for P&R hubs in the Brainport region
No full textAs one of the largest innovation hubs in the world, the Brainport Eindhoven region experiences significant economic and population growth. However, with this success comes a challenge: the transportation infrastructure is increasingly strained, with new housing developments and population growth escalating the transport demand. The economic growth includes plans by hightech giant ASML to roughly double its workforce in Veldhoven to 35,000 by 2030, which poses significant consequences for accessibility, environmental quality, and safety unless effective policy measures are implemented...Complex Systems Engineering and Management (CoSEM
Design of a new generation service store for RET
No full textThe city of Rotterdam is globally recognized for its port and its international trading. The city is an important key player for the imports and exports of the European trading market. For this reason, many, small and large, companies have decided to establish their business in or just outside the city. These companies can not operate without having people working for them. All that people must be able to travel to work daily but also do fun things during their free time. For this, they need reliable transportation alternatives. This is where public transportation comes into play. Within the city, several types of transportation can be found like buses, trams, and metros. Everyday the RET makes sure these vehicles are available to get the people of Rotterdam and visitors to their preferred destination. When providing public transport, it is important to have good services, which support the industry of public transport. Without these services, people will associate travelling by public transport with something negative. In Rotterdam there are three locations which are important in the infrastructure of public transport. Rotterdam CS, Beurs, and Zuidplein are the main stations where various forms of transportation can be used by customers. RET provides an extra service at these locations in the form of service points. Every day, employees of the RET help their customers to have a relaxed and pleasant journey. The problem is that the contemporary service points are getting outdated and do not fully fulfill the needs and wishes of RET’s customers and employees anymore. The world of public transport is changing. For years buses, trams, and metros have been the main solution when travelling by public transport. However, times are changing, and so is public transport. Shared mobility is getting more popular by the day. In Rotterdam there are various forms of shared mobility like bicycles, e-scooters, and shared cars. More and more these kinds of companies are becoming new competitors in the world of public transportation.To stay relevant in the rapidly changing world of public transportation, a new kind of SP is needed. The project ‘New generation service store for RET’ was conducted to find a solution for the outdated SP at Rotterdam CS. During the project, a literature review based on research was done. There was an active involvement of RET employees and RET customers for developing a new kind of Mobility store. By making drawings and turning them into a virtual reality environment, people were able to assess the designed environment and see if it fulfilled their needs and wishes.This project concludes with recommendations for the design of a Mobility store, which could be established at the passage of the Rotterdam CS’s metro hall. Design for Interactio
Finding your digital sibling: which other GitHub projects are similar to yours?: Finding similar repositories based on the available documentation
No full textThis paper aims to study the importance of considering the documentation side of GitHub repositories when assessing the similarity between two or more applications. Readme and Wiki files, along with Comments from the source files, are the dimensions proposed to be analyzed through our methodology and experiments. We propose a pipeline that first extracts text fragments from these dimensions and then applies Natural Language Processing techniques to further prepare our data for evaluation. To gather a similarity score, we first vectorize our processed data with TF-IDF and then use cosine distance to obtain the score. Combinations of the three dimensions, ranging from using only one dimension to using all of them, are considered throughout our study. Moreover, additional information has been extracted from the plain text, such as referenced URLs and License usage, the similarity of which was calculated using Jaccard distance. Two experiments were performed. The first one aims to observe the behavioral tendencies of our methodology applied to a small dataset, while the second one aims to validate our results. By evaluating them, we found sufficient data that supported our presented conclusion: documentation represents a valuable asset in gathering a pool of similar applications.CSE3000 Research ProjectComputer Science and Engineerin
Towards More Effective Querying of Medical Literature in Alexandria3K: How useful can Alexandria3K be for performing literature reviews
No full textThe Alexandria3K library, a versatile Python-based tool, has been expanded to include the integra- tion of the PubMed dataset, enriching its capabil- ities in the analysis of scientific papers. Origi- nally supporting major datasets like Crossref and US patents, and smaller yet significant datasets like ORCID. The addition of PubMed enables in-depth analysis of medical papers, with medical specific data and articles not yet in the Crossref dataset. This research focused on validating the integration of PubMed into Alexandria3K. To achieve this, two literature surveys were replicated using the com- plete PubMed dataset. The first survey involved querying different pathogens in the dataset for three regions. The results were comparable, although some articles were missed by Alexandria3K but two articles were also missed by the original sur- vey. The second survey revolved around software tools used in medical papers. Although fewer ar- ticles were found with Alexandria3K the ratio for most tools was still comparable. Although a thor- ough manual review of all articles could have fur- ther refined the reevaluation, time constraints pre- vented this step. These replicated surveys demon- strate Alexandria3K’s potential in conducting lit- erature surveys, underscoring the need for manual validation to complement its capabilities.CSE3000 Research ProjectComputer Science and Engineerin
Plug & Live: Modular Adaptation of Polish Large Panel Concrete Housing: Based on an example of the W-70 system
No full textHow to adapt the Polish Large Panel concrete system housing to increase the living diversity with modular architecture? This graduation topic aligns with the Architectural Engineering studio approach and the master track's emphasis on integrating technology and exploring circular adaptation strategies. The design of Plug & Live: Modular Adaptation of Polish Large Panel Concrete Housing is linked to the foundational concept of adaptable and flexible architecture, incorporating a user-based selection principle and activating roofscapes by greenery enhancement, energy production and water harvesting. Given the multi-layered nature of this approach, the primary challenge in the design study was distilling the minimum viable approach while still showcasing the potential for diverse architectural outcomes and evolution over time. This design philosophy represents a notable departure from conventional building practices, emphasizing a shift away from static structures towards designs capable of evolution led by dynamic change of the residents’ living needs.Academically, this research adds the Polish perspective to the adaptive reuse discourse by exploring how architectural interventions can preserve the heritage from the 60s and 70s cultural, social and spatial significance while meeting future needs and improving the spatial, energetical and aesthetical values. By examining the exemplary W-70 system from Poland, which shares historical and architectural similarities to the prefab systems from other countries, this research provides valuable insights and recommendations that can inform the debate on future-proof adaptation strategies addressing the pressing need for affordable social housing in these regions. As a result, the neglected yet ubiquitous post-Soviet housing stock can become architecture beyond political ideologies, trends or profit-driven market. The design proposal incorporates research findings while delineating between individual and community-based choices across various architectural tiers. Commencing at the smallest scale, XS (façade), where each panel offers customization options, it progresses to the S scale (apartment), enabling residents to expand their living spaces with winter gardens and green terraces. Transitioning to the M scale (cluster), new rooftop additions are introduced, followed by the L scale (block), where buildings are distinguished by unique color and material identities. This progression culminates at the XL scale (neighborhood), where each subsequent estate obtains its distinct identity through diverse façade compositions and elements, while adhering to the overarching design strategy.Ultimately, the establishment of the design minimum provides a starting point for subsequent extensions that contribute additional values across social, economic, and environmental dimensions, all while preserving the unique identity and individuality of buildings at various scales. https://tud365-my.sharepoint.com/:p:/g/personal/mzapasnik_tudelft_nl1/EcT7pECLqilInvVIIdC3iD0BDR-FEB8DHbYmgtqoowBjPA?e=BoTsKw MartaZapasnik_PresentationArchitecture, Urbanism and Building Sciences | Architectural Engineerin
Predicting willingness to pay and implement different rooftop strategies to characterize social perception of climate change mitigation and adaptation
No full textWith the latest IPCC report, dramatic global climate action must be taken immediately to limit global warming to 1.5 °C, or face more frequent and extreme weather events with catastrophic implications. Cities must invest in climate resilience development; however, government policies are only effective if they are supported by the society in which they serve. As such, this study aims to characterize the social perception of climate resilience development, in particular the implementation of sustainable urban rooftop strategies, to support policy makers and enable individual action. This was accomplished through the analysis of 1,100 answered surveys in Cerdanyola del Vallès (Spain), to assess one’s willingness to pay (WTP) and willingness to implement (WTI) rooftop strategies according to: 1. socio-demographical characteristics; 2. social perceptions and beliefs; and 3. surrounding land use and land cover, and vulnerabilities identified through temperature and normalized difference vegetation index (NDVI) maps. The results of this study found age played a significant role in predictability, with 18-39-year-olds being the most willing to pay and implement the various rooftop scenarios. However, our results uncovered societal inequality as those 85+ were the second group most interested in rooftop agriculture but the most financially restricted. Belief in the viability of rooftop strategies increased respondents WTP and WTI while having access to ones’ rooftop increased willingness to partake in rooftop food cultivation and enhance rooftop greenery. A new finding presented by this study is the quantifiable impact that urban greenery plays on increasing survey respondents WTP and WTI.Integral Design & Managemen
A real-world dataset of group emotion experiences based on physiological data
No full textAffective computing has experienced substantial advancements in recognizing emotions through image and facial expression analysis. However, the incorporation of physiological data remains constrained. Emotion recognition with physiological data shows promising results in controlled experiments but lacks generalization to real-world settings. To address this, we present G-REx, a dataset for real-world affective computing. We collected physiological data (photoplethysmography and electrodermal activity) using a wrist-worn device during long-duration movie sessions. Emotion annotations were retrospectively performed on segments with elevated physiological responses. The dataset includes over 31 movie sessions, totaling 380 h+ of data from 190+ subjects. The data were collected in a group setting, which can give further context to emotion recognition systems. Our setup aims to be easily replicable in any real-life scenario, facilitating the collection of large datasets for novel affective computing systems.Multimedia Computin
CasPEDIA Database: a functional classification system for class 2 CRISPR-Cas enzymes
No full textCRISPR-Cas enzymes enable RNA-guided bacterial immunity and are widely used for biotechnological applications including genome editing. In particular, the Class 2 CRISPR-associated enzymes (Cas9, Cas12 and Cas13 families), have been deployed for numerous research, clinical and agricultural applications. However, the immense genetic and biochemical diversity of these proteins in the public domain poses a barrier for researchers seeking to leverage their activities. We present CasPEDIA (http://caspedia.org), the Cas Protein Effector Database of Information and Assessment, a curated encyclopedia that integrates enzymatic classification for hundreds of different Cas enzymes across 27 phylogenetic groups spanning the Cas9, Cas12 and Cas13 families, as well as evolutionarily related IscB and TnpB proteins. All enzymes in CasPEDIA were annotated with a standard workflow based on their primary nuclease activity, target requirements and guide-RNA design constraints. Our functional classification scheme, CasID, is described alongside current phylogenetic classification, allowing users to search related orthologs by enzymatic function and sequence similarity. CasPEDIA is a comprehensive data portal that summarizes and contextualizes enzymatic properties of widely used Cas enzymes, equipping users with valuable resources to foster biotechnological development. CasPEDIA complements phylogenetic Cas nomenclature and enables researchers to leverage the multi-faceted nucleic-acid targeting rules of diverse Class 2 Cas enzymes.BN/Stan Brouns La
Circuits and Systems for a Spiking Neuromorphic Network in 28 nm CMOS
No full textNeuromorphic computing can be used to efficiently implement spiking neural networks.Such spiking neural networks can be used in edge AI applications, where low power consumption is paramount.The use of analog components allows for extremely low power implementations.This thesis contributes the designs of an analog spike generator, synaptic elements and an accumulating neuron in 28 nm CMOS technology.The elements are assembled in a neural network and laid out in an SoC.Energy consumption numbers of less than 1 pJ/synaptic operation are achieved in the analog neuromorphic components.Electrical Engineering | Circuits and System
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