2025
Authors
Pereira, R; Lima, C; Pinto, T; Barroso, J; Reis, A;
Publication
Smart Innovation, Systems and Technologies
Abstract
The Industry 4.0 paradigm (I4.0) supports the improvement of industrial processes through Information and Communication Technologies (ICT), with information systems providing real-time information to humans and machines, in order to make the production process more flexible and efficient. In this context, Virtual Assistants (VA) collect and process production data and provide contextualized and real-time information to the workers in the production environment. This paper presents a prototype of a VA developed to collect production data from heterogeneous sources in the factory, process them based on contextual information, and provide workers with useful information to assist them in taking informed decisions. In that context, VA can represent a valuable aid to improve overall productivity and efficiency in the I4.0 factories. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
2025
Authors
Santos, A; Lima, C; Pinto, T; Reis, A; Barroso, J;
Publication
APPLIED SCIENCES-BASEL
Abstract
Featured Application This review highlights interoperability, automation, and decision-making as critical requirements for context-aware systems in the manufacturing domain that integrate the principles of Industry 4.0. It discusses relevant patterns and technologies, identifies context gaps, emphasises ontologies' importance, and proposes directions for future research.Abstract Technological evolution has driven the integration of computing devices in various domains, giving rise to heterogeneous and dynamic intelligent environments; together with market pressure, these pose challenges in formulating an architecture that takes advantage of contextual knowledge. In terms of architectural design, we are witnessing a transition from a centralised, monolithic view of systems to a decentralised view that incorporates the vertical and horizontal dimensions of the production environment. Therefore, this review aimed to (i) identify the requirements, (ii) find out about the representation models and context inference techniques, and (iii) identify architectural technologies, norms, models, and standards. The results observed in 25 articles made it possible to identify interoperability, automation, and decision-making as convergence points and observe the adoption of ontologies as a research area for context representation. In contrast, the discussion of context inference techniques remains open. Finally, this study presents recommendations for the design of a context-aware systems architecture that incorporates the principles of Industry 4.0 and facilitates the development of applications.
2025
Authors
Cosme, F; Rocha, T; Marques, C; Barroso, J; Vilela, A;
Publication
Applied Sciences (Switzerland)
Abstract
The food industry faces growing challenges due to evolving consumer demands, requiring digital technologies to enhance sensory analysis. Innovations such as eye tracking, FaceReader, virtual reality (VR), augmented reality (AR), and artificial intelligence (AI) are transforming consumer behavior research by providing deeper insights into sensory experiences. For instance, FaceReader captures emotional responses to food by analyzing facial expressions, offering valuable data on consumer preferences for taste, texture, and aroma. Together, these technologies provide a comprehensive understanding of the sensory experience, aiding product development and branding. Electronic nose, tongue, and eye technologies also replicate human sensory capabilities, enabling objective and efficient assessment of aroma, taste, and color. The electronic nose (E-nose) detects volatile compounds for aroma evaluation, while the electronic tongue (E-tongue) evaluates taste through electrochemical sensors, ensuring accuracy and consistency in sensory analysis. The electronic eye (E-eye) analyzes food color, supporting quality control processes. These advancements offer rapid, non-invasive, reproducible assessments, benefiting research and industrial applications. By improving the precision and efficiency of sensory analysis, digital tools help enhance product quality and consumer satisfaction in the competitive food industry. This review explores the latest digital methods shaping food sensory research and innovation. © 2025 by the authors.
2025
Authors
Ribeiro, A; Oliveira, J; Nunes, R; Barroso, J; Rocha, T;
Publication
DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE, SPECIAL SESSIONS I, 21ST INTERNATIONAL CONFERENCE
Abstract
The increase in the use of mobile phones in recent years has raised significant concerns regarding road safety, more specifically motorcycle accidents. Driver distraction caused by mobile phone use is a topic of great importance, given the negative impact on traffic safety and the occurrence of accidents. In this way, the design of optimized and strategically planned interfaces for electric motorcycle displays can play a crucial role in driver safety, minimizing distractions and, consequently, the risk of accidents. This paper proposes a systematic review of the literature on improving electric motorcycle displays in the context of mobile applications, exploring the best way for the display to become the only digital tool needed while driving, without causing distraction to the driver. To achieve this result, recent studies from the scientific literature were analyzed, highlighting the importance of a clean layout containing only relevant information to the visual elements. The interface structure should be easy to understand and recognize, with feedback always available so as not to overwhelm the user experience. Through the review, we studied how to improve the design of motorcycle displays and reduce the use of mobile phones while driving. The results were essential for us to understand that the usability of the interface is crucial for consistency in its structure, as well as the vocabulary, which must be coherent and in familiar language.
2025
Authors
Carvalho, B; Gouveia, AJ; Barroso, J; Reis, A; Pendao, C;
Publication
DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE, SPECIAL SESSIONS I, 21ST INTERNATIONAL CONFERENCE
Abstract
With the recent surge in the electric vehicle market, there is a pressing demand for solutions and platforms to enhance vehicle lifecycle management. This is particularly pertinent for motorcycles, which are widely used in urban environments (e.g., for food delivery services) and require frequent maintenance. The present study proposes the research and development of a platform, along with mobile and web applications, focusing on optimizing the lifecycle of electric motorcycles. Central to this project is the implementation of Product Lifecycle Management (PLM) to simplify the planning of technical maintenance and the recording and access to technical events and information in the most transparent and non-intrusive way for all involved parties. This project aims to establish innovative and effective communication between owners, manufacturers, and service partners, ensuring the longevity and reliability of motorcycles.
2025
Authors
Ferreira, M; Viegas, L; Faria, JP; Lima, B;
Publication
CoRR
Abstract
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