EsACT - Artigos em Revistas Indexados à WoS/Scopus
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Browsing EsACT - Artigos em Revistas Indexados à WoS/Scopus by Field of Science and Technology (FOS) "Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática"
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- Bridging innovation strategies and intellectual property: a systematic review-based conceptual framework and a roadmap for future research.Publication . Pires, Rui A.R.; Ferreira, João J.Understanding the connection between innovation strategies and intellectual property (IP) is crucial for academia, policymakers, and managers. This topic has gained interest from the scientific community. However, the literature is fragmented and dispersed due to increasing knowledge, and earlier literature reviews do not provide a holistic assessment of the existing research on how innovation strategies are connected to IP. This study aims to address this gap by answering the following questions: What is the status of the art on innovation strategies and IP regarding theoretical and methodological approaches, contextual elements, and key research themes? How can this research be advanced and developed further? To this purpose, we undertake a comprehensive review and synthesis of existing knowledge in this field based on the content analysis of 144 articles indexed in the Web of Science database. Findings indicate that (i) the knowledge-based and resource-based views are the main theoretical foundations, (ii) the empirical-quantitative approach is the main methodology, (iii) the Asian, European, and North American countries are the main geographical scopes explored, and (iv) there are six major research themes addressing innovation strategies, IP protection mechanisms, determinants of innovation strategies and IP, learning and knowledge, interorganizational collaboration, and value creation and appropriation outcomes. Therefore, this study contributes to the literature on innovation and IP strategies by systematically reviewing and analyzing the existing knowledge, proposing an integrative framework highlighting the interconnections among the major research themes, and setting a roadmap for future research.
- Context-Aware Systems Architecture in Industry 4.0: A Systematic Literature ReviewPublication . Santos, Arlindo; Lima, Claudio; Pinto, Tiago; Reis, Arsénio; Barroso, JoãoFeatured 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.
- PROMORE: a procedural modeler of virtual rural environments with artificial dataset generation capabilities for remote sensing contextsPublication . Adão, Telmo; Cerqueira, João; Adão, Miguel; Silva, Nuno; Pascoal, David; Magalhães, Luís G.; Barros, Tiago; Premebida, Cristiano; Nunes, Urbano J.; Peres, Emanuel; Morais, RaulRemote sensing (RS) is a rapidly evolving field that facilitates the study of phenomena on the Earth’s surface. Through various platforms, including satellites, manned aircraft, and remotely piloted aerial vehicles (RPAV), RS has been strategically applied to critical sectors like agriculture and forestry, which are essential for humanity’s sustenance. Key applications include crops classification, yield estimation and livestock monitoring and quantification. In the era of artificial intelligence (AI), the development of deep learning (DL) models for such applications often requires extensive field data collection and labor-intensive image labeling, which are both time-consuming and resource-intensive. To address these challenges, this paper presents Procedural Modeling of Rural Environments (PROMORE), a parameterizable, ontology driven system designed to generate 3D virtual environments encompassing forestry, farmland – mainly focused on vineyards – and village settings. This system also implements functionalities to automate the extraction of training data for deep learning applications in remote sensing, with the declared aim of providing complementary capabilities to data augmentation techniques, encompassing both traditional methods (e.g., flips, rotations, zooming) and advanced approaches such as generative adversarial networks (GANs). By simulating RPAV flights and managing virtual object visibility, PROMORE enables the automatic labeling, delineation, and highlighting of elements of interest (e.g., vine plants, trees, buildings), facilitating the generation of datasets tailored for tasks such as semantic segmentation, and object detection.