Systems approach to engineering education design

[Abstract]: The design and delivery of effective engineering education to diverse cohorts of adult learners is challenging. The sheer volume and diversity of published literature relating to the scholarship of teaching and learning presents a challenge to educational designers and teaching practitioners alike. A systems approach to design and development, incorporating key principles from the literature, can assist practitioners (particularly those new to teaching) in the effective design and delivery of technical courses. This paper presents a research-based educational lifecycle model to support the design of engineering education. The paper then describes a requirements-driven development methodology that has been applied successfully to the design and delivery of a number of technical courses involving different cohorts of adult learners. The application of the methodology to development of an introductory radar systems course is used as a case study throughout the paper

The Almirall Project: a portal of 19 th century culture and thinking

The Ateneu Barcelonès is a civil, private cultural association that has been a part of Spanish society and culture since 1860, having been founded with the aim of promoting dialogue and disseminating knowledge about the country's artistic, historical and intellectual heritage. Since 2005, been taking part in various digitisation projects, including several digital projects. The Almirall Project aims to be a portal that explains, contextualises and inter-relates 19th-century works, thinkers, artists and schools of thought at Barcelona's Ateneu Library, providing access to digital copies lodged at other portals

Product Tracing in the Norwegian Fishing Industry Supply Chain Utilizing GoQuorum Blockchain and Smart Contracts

The Norwegian fishing industry faces a significant issue of fishery crimes, with product traceability systems presenting a potential solution to counter these illegal activities. Current supply chain management in the seafood industry is vulnerable to information alterations, thereby complicating product traceability. Blockchain technology, with its unique properties, offers an interesting approach to address these challenges. Despite this, existing blockchain-based product traceability systems often fail to integrate government regulation and provide limited access to traceability data for consumers. Moreover, those providing such access often lack user-friendliness. This thesis explores if a blockchain-based product traceability system can support supply chain management, enhance consumer confidence, and enforce regulatory compliance. We conducted a review of existing literature and assessed the potential of blockchain technology to optimize supply chain management. Furthermore, a traceability system, entitled SeaChain, incorporating a permissioned blockchain, smart contracts, and governmental regulations was developed. We evaluated this system and compared it with existing systems. Our findings suggest that blockchain technology can enhance supply chain management, bolster consumer trust, and aid in mitigating fishery crimes. The research conducted provides valuable insights for improving supply chain management and contributes to future studies in this field

Building Information Modeling and Artificial Intelligence Based Smart Construction Management: Materials and Electrical

With the development of society and technological progress, the requirements of government regulatory departments for engineering construction efficiency, quality, and safety are constantly increasing. The traditional extensive construction process can no longer meet the requirements of modern construction industry development. Based on the shortcomings of traditional construction processes, the concept of intelligent construction has been introduced. The construction of new smart and digital twin (DT) cities is entering an explosive period. The application of building rapid modeling technology based on artificial intelligence (AI) and building information modeling (BIM) integration in smart cities has gradually begun new explorations and attempts, and its application value is becoming increasingly prominent. A brand-new auto-machine learning (auto-ML) integrated algorithm technology platform for 3D building modeling is being developed and improved over time by combining AI and BIM technology in a deep way. This allows for fast and accurate modeling as well as high-value scenarios in the smart city industry, including architecture, municipal engineering, roads, and bridges.&nbsp

Developing systems to control food adulteration

The objective of this study is to explore the current strategies available to monitor and detect the economically and criminally motivated adulteration of food, identifying their strengths and weaknesses and recommend new approaches and policies to strengthen future capabilities to counter adulteration in a globalized food environment. Many techniques are used to detect the presence of adulterants. However, this approach relies on the adulterant, or means of substitution, being "known" and an analytical method being available. Further techniques verify provenance claims made about a food product e.g. breed, variety etc. as well as the original geographic location of food production. These consider wholeness, or not, of a food item and so do not need to necessarily identify the actual adulterant just whether the food is complete. The conceptual framework developed in this research focuses on the process of predicting, reacting and detecting economically and criminally motivated food adulteratio

Skills Requirements for the European Machine Tool Sector Emerging from Its Digitalization

Abstract The machine tool industry, which is the starting point of all the metal producing activities, is presently undergoing rapid and continuous changes as a result of the fourth industrial revolution Industry 4.0. Manufacturing models are profoundly transforming with emerging digitalization. Smart technologies like artificial intelligence (AI), big data, the Internet of Things (IoT), digital twin, allow the machine tool companies to optimize processes, increase efficiency and reduce waste through a new phase of automation. These technologies, as well, enable the machine tool producers to reach the aim of creating products with improved performance, extended life, high reliability that are eco-efficient. Therefore, Industry 4.0 could be perceived as an invaluable opportunity for the machine tool sector, only if the sector has a competent workforce capable of handling the implementation of new business models and technological developments. The main condition to create this highly qualified workforce is reskilling and upskilling of the current workforce. Once we define the expected evolution of skills requirements, we can clarify the skills mismatch between the workers and job profiles. Only then, we can reduce them by delivering well-developed trainings. For this purpose, this article identifies the current and foreseen skills requirements demanded by the machine tool industry workforce. To this end, we generated an integrated database for the sector with the present and prospective skills needs of the metal processing sector professionals. The presented sectoral database is a fundamental structure that will make the sector acquire targeted industrial reforms. It can also be an essential instrument for machine tool companies, policymakers, academics and education or training centers to build well-designed and effective training programs to enhance the skills of the labor forceThis research was partly funded by (a) the European Union through the Erasmus Plus Programme (Grant Agreement No. 2018-3019/001-001, Project No. 600886-1-2018-1-DE-EPPKA2-SSA-B). (b) the HAZITEK call of the Basque Government, project acronym Adit4All and (c) Accenture, Inzu Group, Fundación Telefónica and Fundación BBK, partners of the Deusto Digital Industry Chair

Building the Science Foundation of a Modern Food Safety System: Lessons From Denmark, the Netherlands, and the United Kingdom on Creating a More Coordinated and Integrated Approach to Food Safety Information

Examines how food safety reforms in three countries and the European Union affected data collection and analysis, coordination and integrated approaches, and use of data for prevention. Makes recommendations for U.S. programs, policies, and activities

Bridging the gap between digital libraries and e-learning

Digital Libraries (DL) are offering access to a vast amount of digital content, relevant to practically all domains of human knowledge, which makes it suitable to enhance teaching and learning. Based on a systematic literature review, this article provides an overview and a gap analysis of educational use of DLs.The research work presented in this paper is partially supported by the FP7 Grant 316087 AComIn ”Advanced Computing for Innovation”, funded by the European Commission in the FP7 Capacity Programme in 2012-2016.peer-reviewe

Development of traceability solution for furniture components

Mestrado de dupla diplomação com a UTFPR - Universidade Tecnológica Federal do ParanáIn the contemporary context, characterized by intensified global competition and the constant evolution of the globalization landscape, it becomes imperative for industries, including Small and Medium Enterprises (SMEs), to undertake efforts to enhance their operational processes, often through digital technological adaptation. The present study falls within the scope of the project named “Wood Work 4.0,” which aims to infuse innovation into the wood furniture manufacturing industry through process optimization and the adoption of digital technologies. This project received funding from the European Union Development Fund, in collaboration with the North 2020 Regional Program, and was carried out at the Carpintaria Mofreita company, located in Macedo de Cavaleiros, Portugal. In this regard, this study introduces a software architecture that supports the traceability of projects in the wood furniture industry and simultaneously employs a system to identify and manage material leftovers, aiming for more efficient waste management. For the development of this software architecture, an approach that integrates the Fiware platform, specialized in systems for the Internet of Things (IoT), with an Application Programming Interface (API) specifically created to manage information about users, projects, and associated media files, was adopted. The material leftovers identification system employs image processing techniques to extract geometric characteristics of the materials. Additionally, these data are integrated into the company’s database. In this way, it was possible to develop an architecture that allows not only the capturing of project information but also its effective management. In the case of material leftovers identification, the system was able to establish, with a satisfactory degree of accuracy, the dimensions of the materials, enabling the insertion of these data into the company’s database for resource management and optimization.No contexto contemporâneo, marcado por uma competição global intensificada e pela constante evolução do cenário de globalização, torna-se imperativo para as indústrias, incluindo as Pequenas e Médias Empresas (PMEs), empreender esforços para aprimorar seus processos operacionais, frequentemente pela via da adaptação tecnológica digital. O presente estudo insere-se dentro do escopo do projeto denominado “Wood Work 4.0”, cujo propósito é infundir inovação na indústria de fabricação de móveis de madeira por meio da otimização de processos e da adoção de tecnologias digitais. Este projeto obteve financiamento do Fundo de Desenvolvimento da União Europeia, em colaboração com o programa Regional do Norte 2020 e foi realizado na empresa Carpintaria Mofreita, localizada em Macedo de Cavaleiros, Portugal. Nesse sentido, este estudo introduz uma arquitetura de software que oferece suporte à rastreabilidade de projetos na indústria de móveis de madeira, e simultaneamente emprega um sistema para identificar e gerenciar sobras de material, objetivando uma gestão de resíduos mais eficiente. Para o desenvolvimento dessa arquitetura de software, adotou-se uma abordagem que integra a plataforma Fiware, especializada em sistemas para a Internet das Coisas (IoT), com uma Interface de Programação de Aplicações (API) criada especificamente para gerenciar informações de usuários, projetos, e arquivos de mídia associados. O sistema de identificação de sobras de material emprega técnicas de processamento de imagem para extrair características geométricas dos materiais. Adicionalmente, esses dados são integrados ao banco de dados da empresa. Desta forma, foi possível desenvolver uma arquitetura que permite não só capturar informações de projetos, mas também gerenciá-las de forma eficaz. No caso da identificação de sobras de material, o sistema foi capaz de estabelecer, com um grau de precisão satisfatório, as dimensões dos materiais, possibilitando a inserção desses dados no banco de dados da empresa para gestão e otimização do uso de recursos