作者：
Biagioni, Giulia
New Babylon Anna van Buerenplein 41a Den Haag Netherlands
This paper introduces OMNIMOD, a new method designed to modularize ontologies, RDF-based structures that organize knowledge within specialized domains. By simplifying complex information into manageable components, OM...
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There is plenty of research on the use of Big educational data, learning analytics, semantics-based knowledge modeling, and other innovative technologies within an educational environment for improving learning and tu...
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Change is complex, uncomfortable, frustrating but importantly, worth the investment- to teach better and to make positive and long-lasting improvements within our educational system. However, navigating the complexiti...
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ISBN:
(纸本)9783031856488;9783031856495
Change is complex, uncomfortable, frustrating but importantly, worth the investment- to teach better and to make positive and long-lasting improvements within our educational system. However, navigating the complexities of educating the next generation of engineers is no easy feat. Education is key to helping engineering adapt to 21st-century challenges because it develops the people within a system that is itself complex. This paper shares practical experience and learnings from the experience of two organisations, Engineers Without Borders UK (EWB-UK) and the UK's engineering Professors Council (EPC). Both have navigated this landscape to engage people to co-create resources that meaningfully integrate global responsibility into engineering education by changing how we teach. Firstly, through the engineering for People Design Challenge, which aims to bring to life real-world challenges through a project-based learning pedagogy. Secondly, the upskilling and guidance resources for educators through the EPC's Ethics and Sustainability Toolkits which are designed to help engineering educators improve their own knowledge and skills to integrate this content into teaching, and EWB-UK's Reimagined Degree Map which supports engineering departments to navigate the decisions that are urgently required to prepare students for 21st-century challenges. We analyse data, testimonials and insights from educators using the co-created resources who have made changes to their education practice.
The transition to Industry 4.0 intensifies the demand for advanced manufacturing techniques and efficient data processing capabilities. A notable challenge in engineering is that many older engineering drawings are on...
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ISBN:
(纸本)9783031683015;9783031683022
The transition to Industry 4.0 intensifies the demand for advanced manufacturing techniques and efficient data processing capabilities. A notable challenge in engineering is that many older engineering drawings are only available in paper form, creating significant barriers for modern automated systems. This study tackles these challenges by employing advanced deep-learning techniques alongside traditional image processing to convert legacy engineering drawings into structured, machine-readable formats. Following this digitization process, this multi-modal approach further processes drawings containing a lot of heterogeneous data by filtering non-essential details to isolate and extract critical features. This process enables the conversion of complex drawings into formats suitable for computer vision and deep learning applications. The structured datasets resulting from this process are then utilized to enhance the efficiency of automated processes significantly. For instance, they enable more efficient pick-and-place operations by providing the data necessary for machine learning-driven automation.
Industry 4.0 and digital transformations shape business today more than ever, with the aim of achieving better results and performance. The introduction of digital technologies enables the creation of an agile and fle...
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ISBN:
(纸本)9783031653995;9783031654008
Industry 4.0 and digital transformations shape business today more than ever, with the aim of achieving better results and performance. The introduction of digital technologies enables the creation of an agile and flexible business that is ready to respond to the demands of today's production. As a basic prerequisite for the implementation of Industry 4.0, modern information system are needed, which are the backbone for networking, collecting and processing data in real time. This especially applies to MES systems. However, in order for information systems as well as other digital technologies to realise their full potential on the path of Industry 4.0, knowledge and use of Lean manufacturing for the organisation is necessary, to achieve efficient production and business processes without losses. The goal of this paper is to contribute to a better understanding of the possibilities of digital technologies in the field of information systems in production, as well as to present the concept of digital transformation in SMEs with the support of Lean manufacturing, and all with the support of the learning factory. The paper presents an example of the implementation of digital transformation in a local company through the implementation of information systems as well as Lean manufacturing. Also, the paper describes previous research in the field of digital transformation of SMEs, achieved through the work and developed infrastructure of the learning factory, which gave a broader picture of the current state of enterprises in the environment on the way to digital transformation and Industry 4.0.
This project investigates the use of Internet of Things (IoT) technologies for the present monitoring of air pollution. We construct and use sensor nodes to collect data on various air contaminants, allowing for remot...
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The proceedings contain 8 papers. The topics discussed include: from adoption to endurance: exploring the dynamics of general-purpose AI adoption across time and contexts;intelligent perception systems for multi-modal...
The proceedings contain 8 papers. The topics discussed include: from adoption to endurance: exploring the dynamics of general-purpose AI adoption across time and contexts;intelligent perception systems for multi-modal data processing in industrial application contexts;a conceptual modeling-based journey into variant interpretation: from unpacking to operationalization;a methodological approach to model-driven software development for quality assurance in metaverse environments;integrating LLMs with knowledge graphs-enhanced task-oriented dialogue systems;translating polygenic risk score research to a clinical setting;comparable and repeatable information security level evaluation;and selecting adequate machine learning methods for human-computer interaction data sets: guidelines and a conceptual structure.
Earlier work has shown that satisfactory identification of a six degrees of freedom (DOF) lumped parameter system represented by symmetric mass, damping and stiffness matrices and using vibration response measurements...
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Ground Penetrating Radar (GPR) offers the benefits of non-destructive testing (NDT) and high efficiency, making it extensively employed for subsurface material detection. However, conventional GPR image interpretation...
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Many university students lack clear goals at the start of their academic journey, leading to a lack of motivation and active engagement in the classroom. This often results in difficulties understanding lectures, poor...
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