AI Knowledge Transfer from the University to Society

AI Knowledge Transfer from the University to Society: Applications in High-Impact Sectors brings together examples from the "Innovative Ecosystem with Artificial Intelligence for Andalusia 2025" project at the University of Seville, a series of sub-projects composed of research groups and different institutions or companies that explore the use of Artificial Intelligence in a variety of high-impact sectors to lead innovation and assist in decision-making. Key Features Includes chapters on health and social welfare, transportation, digital economy, energy efficiency and sustainability, agro-industry, and tourism Great diversity of authors, expert in varied sectors, belonging to powerful research groups from the University of Seville with proven experience in the transfer of knowledge to the productive sector and agents attached to the Andalucía TECH Campu

Big data reference architecture for industry 4.0: including economic and ethical Implications

El rápido progreso de la Industria 4.0 se consigue gracias a las innovaciones en varios campos, por ejemplo, la fabricación, el big data y la inteligencia artificial. La tesis explica la necesidad de una arquitectura del Big Data para implementar la Inteligencia Artificial en la Industria 4.0 y presenta una arquitectura cognitiva para la inteligencia artificial - CAAI - como posible solución, que se adapta especialmente a los retos de las pequeñas y medianas empresas. La tesis examina las implicaciones económicas y éticas de esas tecnologías y destaca tanto los beneficios como los retos para los países, las empresas y los trabajadores individuales. El "Cuestionario de la Industria 4.0 para las PYME" se realizó para averiguar los requisitos y necesidades de las pequeñas y medianas empresas. Así, la nueva arquitectura de la CAAI presenta un modelo de diseño de software y proporciona un conjunto de bloques de construcción de código abierto para apoyar a las empresas durante la implementación. Diferentes casos de uso demuestran la aplicabilidad de la arquitectura y la siguiente evaluación verifica la funcionalidad de la misma.The rapid progress in Industry 4.0 is achieved through innovations in several fields, e.g., manufacturing, big data, and artificial intelligence. The thesis motivates the need for a Big Data architecture to apply artificial intelligence in Industry 4.0 and presents a cognitive architecture for artificial intelligence – CAAI – as a possible solution, which is especially suited for the challenges of small and medium-sized enterprises. The work examines the economic and ethical implications of those technologies and highlights the benefits but also the challenges for countries, companies and individual workers. The "Industry 4.0 Questionnaire for SMEs" was conducted to gain insights into smaller and medium-sized companies’ requirements and needs. Thus, the new CAAI architecture presents a software design blueprint and provides a set of open-source building blocks to support companies during implementation. Different use cases demonstrate the applicability of the architecture and the following evaluation verifies the functionality of the architecture

Latin American perspectives to internationalize undergraduate information technology education

The computing education community expects modern curricular guidelines for information technology (IT) undergraduate degree programs by 2017. The authors of this work focus on eliciting and analyzing Latin American academic and industry perspectives on IT undergraduate education. The objective is to ensure that the IT curricular framework in the IT2017 report articulates the relationship between academic preparation and the work environment of IT graduates in light of current technological and educational trends in Latin America and elsewhere. Activities focus on soliciting and analyzing survey data collected from institutions and consortia in IT education and IT professional and educational societies in Latin America; these activities also include garnering the expertise of the authors. Findings show that IT degree programs are making progress in bridging the academic-industry gap, but more work remains

Internet of things (IoT) as sustainable development goals (SDG) enabling technology towards smart readiness indicators (SRI) for university buildings

Non-residential buildings contribute to around 20% of the total energy consumed in Europe. This consumption continues to increase globally. Smart building proposals (focused on Nearly Zero Energy Building (NZEB), air quality monitoring, energy saving with thermal comfort, etc.) were already necessary before 2020, and the pandemic has made this research and development area more essential. Furthermore, the need to meet the Sustainable Development Goals (SDG) and obtain technological solutions based on the Internet of Things (IoT) requires holistic contributions through real installations that serve as spaces for measuring, testing, study and research. This article proposes a “measure–analyse–decide and act” methodology to quantify the Smart Readiness Indicator (SRI) for university buildings as a reference environment for energy efficiency and COVID-19 prevention models. Two conceptual spaces (physical and digital) within two dimensions (users and infrastructures) are designated over an IoT three-level model (information acquisition, interoperable communication, and data-driven decision). An IoT ecosystem (sensoriZAR) was implemented as a proof-of-concept of a smart campus at the University of Zaragoza, Spain. Focused on CO2 and energy consumption monitoring, the results showed effectiveness through real installations, demonstrating the IoT potential as SDG-enabling technologies. These contributions allow not only experimental lab tests (from the authors’ expertise in several specialties of Industrial, Mechanical, Design, Thermal, Electrical, Electronic, Computer and Telecommunication Engineering) but also a reference model for direct application in academic works, research projects and institutional initiatives, extendable to professional environments, buildings and cities. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/)

AI Knowledge Transfer from the University to Society

AI Knowledge Transfer from the University to Society: Applications in High-Impact Sectors brings together examples from the "Innovative Ecosystem with Artificial Intelligence for Andalusia 2025" project at the University of Seville, a series of sub-projects composed of research groups and different institutions or companies that explore the use of Artificial Intelligence in a variety of high-impact sectors to lead innovation and assist in decision-making. Key Features Includes chapters on health and social welfare, transportation, digital economy, energy efficiency and sustainability, agro-industry, and tourism Great diversity of authors, expert in varied sectors, belonging to powerful research groups from the University of Seville with proven experience in the transfer of knowledge to the productive sector and agents attached to the Andalucía TECH Campu

Responsive inclusive design (RiD): a new model for inclusive software development.

The design and development of technological solutions based on software for all types of people, including people with disabilities, is still a pending issue in most software application development projects today. Situations like the 2020 pandemic drastically reflect how people with disabilities tend to be left outside the application design and construction guidelines. There are multiple initiatives and previous works that advocate user involvement from the beginning of the project; however, in this work, we go a step further by presenting a model for designing and constructing software applications (RiD—Responsive inclusive Design) defined for inclusive software. RiD extends the involvement of the user with disabilities to the entire software life cycle, in different roles, and taking into account the changing nature of the user profile in the evolution of the product. This article also presents the EDICO case study, an accessible and inclusive scientific editor for the Spanish National Organization of the Blind (ONCE), which was successfully implemented applying the RiD principles.post-print1229 k

Agent-based technology applied to power systems reliability

Tese de doutoramento. Engenharia Electrotécnica e de Computadores. Faculdade de Engenharia. Universidade do Porto. 200

Circular digital devices: lessons about the social and planetary boundaries

The digital world can be part of the solution to the coexistence of people and the planet, with large efficiencies gained through digital solutions, but it is part of the problem too, as it requires vast natural resources for digital devices in terms of participation. The challenge lies in satisfying the demand for digital devices for everyone, particularly for those with scarce resources, while preserving planetary limits. We have implemented and optimised a circular economy ecosystem that —through donation, refurbishment and traceability— delivers locally reused digital devices at a fair economic and environmental cost to citizens in need, providing satisfactory computing services and reducing the demand to manufacture new devices, which instead must be more durable. Following the sourcing of 10,000 computers, 1,000 have been successfully refurbished by local social enterprises and used by citizens in the city of Barcelona as a common good, herein we present an analysis of the achievements, limitations, and conditions of this model, which has already been replicated in other areas. It is feasible, and we also explore its scalability and sustainability in economic, social, and environmental contexts. We identify critical success factors, such as the roles of local public or private donors, social-support organisations, and ecosystem facilitators, in mediating among all actors involved.This work was partially funded by the Spanish government under contracts PID2019-106774RB-C21, and PCI2019-111851-2 (LeadingEdge Chist-era), the NGI-DLT4EU, NGI-Policy, NGI-Atlantic projects, Subtract (Interreg Europe), and the Waste Agency of the Catalonia. Many organisations and people have participated in the eReuse circuit and have contributed to improving the model: Pangea.org for supporting the eReuse project since its initial idea, the Centre of Cooperation for Development UPC, the City Councils of Barcelona, Sant Boi and Getafe, and the entities part of eReuse: Asociación Cultural La Kalle-Reutilizak, Solidança, Donalo.org, AndròminesAlencop, Fundación Esplai, Trinijove, TXT-UPC, Banc dels Aliments, Abacus, Sant Joan de Déu-Terres de l’Ebre, Punt de referència, among others.Peer ReviewedPostprint (published version

Book of abstracts of the ICIEOM-CIO-IIIE International Conference 2015

BOOK OF ABSTRACTS OF THE ICIEOM-CIO-IIIE INTERNATIONAL CONFERENCE 2015: ENGINEERING SYSTEMS AND NETWORKS: The way ahead for industrial engineering and operations managemen