104 research outputs found

    Digital agriculture: research, development and innovation in production chains.

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    Digital transformation in the field towards sustainable and smart agriculture. Digital agriculture: definitions and technologies. Agroenvironmental modeling and the digital transformation of agriculture. Geotechnologies in digital agriculture. Scientific computing in agriculture. Computer vision applied to agriculture. Technologies developed in precision agriculture. Information engineering: contributions to digital agriculture. DIPN: a dictionary of the internal proteins nanoenvironments and their potential for transformation into agricultural assets. Applications of bioinformatics in agriculture. Genomics applied to climate change: biotechnology for digital agriculture. Innovation ecosystem in agriculture: Embrapa?s evolution and contributions. The law related to the digitization of agriculture. Innovating communication in the age of digital agriculture. Driving forces for Brazilian agriculture in the next decade: implications for digital agriculture. Challenges, trends and opportunities in digital agriculture in Brazil

    An ontology for defining and characterizing demonstration environments

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    Demonstration Environments (DEs) are essential tools for testing and demonstrating new technologies, products, and services, and reducing uncertainties and risks in the innovation process. However, the terminology used to describe these environments is inconsistent, leading to heterogeneity in defining and characterizing them. This makes it difficult to establish a universal understanding of DEs and to differentiate between the different types of DEs, including testbeds, pilot-plants, and living labs. Moreover, existing literature lacks a holistic view of DEs, with studies focusing on specific types of DEs and not offering an integrated perspective on their characteristics and applicability in different contexts. This study proposes an ontology for knowledge representation related to DEs to address this gap. Using an ontology learning approach analyzing 3621 peer-reviewed journal articles, we develop a standardized framework for defining and characterizing DEs, providing a holistic view of these environments. The resulting ontology allows innovation managers and practitioners to select appropriate DEs for achieving their innovation goals, based on the characteristics and capabilities of the specific type of DE. The contributions of this study are significant in advancing the understanding and application of DEs in innovation processes. The proposed ontology provides a standardized approach for defining and characterizing DEs, reducing inconsistencies in terminology and establishing a common understanding of these environments. This enables innovation managers and practitioners to select appropriate DEs for their specific innovation goals, facilitating more efficient and effective innovation processes. Overall, this study provides a valuable resource for researchers, practitioners, and policymakers interested in the effective use of DEs in innovation

    Securing Distributed Systems: A Survey on Access Control Techniques for Cloud, Blockchain, IoT and SDN

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    Access Control is a crucial defense mechanism organizations can deploy to meet modern cybersecurity needs and legal compliance with data privacy. The aim is to prevent unauthorized users and systems from accessing protected resources in a way that exceeds their permissions. The present survey aims to summarize state-of-the-art Access Control techniques, presenting recent research trends in this area. Moreover, as the cyber-attack landscape and zero-trust networking challenges require organizations to consider their Information Security management strategies carefully, in this study, we present a review of contemporary Access Control techniques and technologies being discussed in the literature and the various innovations and evolution of the technology. We also discuss adopting and applying different Access Control techniques and technologies in four upcoming and crucial domains: Cloud Computing, Blockchain, the Internet of Things, and Software-Defined Networking. Finally, we discuss the business adoption strategies for Access Control and how the technology can be integrated into a cybersecurity and network architecture strategy

    Digital agriculture: research, development and innovation in production chains.

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    Digital transformation in the field towards sustainable and smart agriculture. Digital agriculture: definitions and technologies. Agroenvironmental modeling and the digital transformation of agriculture. Geotechnologies in digital agriculture. Scientific computing in agriculture. Computer vision applied to agriculture. Technologies developed in precision agriculture. Information engineering: contributions to digital agriculture. DIPN: a dictionary of the internal proteins nanoenvironments and their potential for transformation into agricultural assets. Applications of bioinformatics in agriculture. Genomics applied to climate change: biotechnology for digital agriculture. Innovation ecosystem in agriculture: Embrapa?s evolution and contributions. The law related to the digitization of agriculture. Innovating communication in the age of digital agriculture. Driving forces for Brazilian agriculture in the next decade: implications for digital agriculture. Challenges, trends and opportunities in digital agriculture in Brazil.Translated by Beverly Victoria Young and Karl Stephan Mokross

    Efficiency and Sustainability of the Distributed Renewable Hybrid Power Systems Based on the Energy Internet, Blockchain Technology and Smart Contracts-Volume II

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    The climate changes that are becoming visible today are a challenge for the global research community. In this context, renewable energy sources, fuel cell systems, and other energy generating sources must be optimally combined and connected to the grid system using advanced energy transaction methods. As this reprint presents the latest solutions in the implementation of fuel cell and renewable energy in mobile and stationary applications, such as hybrid and microgrid power systems based on the Energy Internet, Blockchain technology, and smart contracts, we hope that they will be of interest to readers working in the related fields mentioned above

    Jornadas Nacionales de Investigación en Ciberseguridad: actas de las VIII Jornadas Nacionales de Investigación en ciberseguridad: Vigo, 21 a 23 de junio de 2023

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    Jornadas Nacionales de Investigación en Ciberseguridad (8ª. 2023. Vigo)atlanTTicAMTEGA: Axencia para a modernización tecnolóxica de GaliciaINCIBE: Instituto Nacional de Cibersegurida

    Edge Learning for 6G-enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and Defenses

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    The ongoing deployment of the fifth generation (5G) wireless networks constantly reveals limitations concerning its original concept as a key driver of Internet of Everything (IoE) applications. These 5G challenges are behind worldwide efforts to enable future networks, such as sixth generation (6G) networks, to efficiently support sophisticated applications ranging from autonomous driving capabilities to the Metaverse. Edge learning is a new and powerful approach to training models across distributed clients while protecting the privacy of their data. This approach is expected to be embedded within future network infrastructures, including 6G, to solve challenging problems such as resource management and behavior prediction. This survey article provides a holistic review of the most recent research focused on edge learning vulnerabilities and defenses for 6G-enabled IoT. We summarize the existing surveys on machine learning for 6G IoT security and machine learning-associated threats in three different learning modes: centralized, federated, and distributed. Then, we provide an overview of enabling emerging technologies for 6G IoT intelligence. Moreover, we provide a holistic survey of existing research on attacks against machine learning and classify threat models into eight categories, including backdoor attacks, adversarial examples, combined attacks, poisoning attacks, Sybil attacks, byzantine attacks, inference attacks, and dropping attacks. In addition, we provide a comprehensive and detailed taxonomy and a side-by-side comparison of the state-of-the-art defense methods against edge learning vulnerabilities. Finally, as new attacks and defense technologies are realized, new research and future overall prospects for 6G-enabled IoT are discussed

    Proposal of a method to support the implementation of vertical integration in the context of Industry 4.0

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    One of the fundamental principles of Industry 4.0 in the field of intelligent manufacturing is the implementation of vertical integration, that is, the integration of information systems at the different hierarchical levels of the company to provide data flow over time and support decisionmaking. However, the academic literature still needs to present empirical evidence on how vertical integration and the technologies that compose it can be implemented to contribute to the requirements of Industry 4.0. Although vertical integration is presented as a solution to the need for data visibility that Industry 4.0 requires, it is known that there are different ways to implement vertical integration that depend on the desired operational objectives and the characteristics of the companies. Therefore, the technological sets of vertical integration can have different ways of contributing to achieving greater visibility of production processes. This thesis aims to propose a methodology to support companies in the implementation of vertical integration that allows companies to advance in Industry 4.0. The study followed a mixed approach, combining qualitative and quantitative methods. In qualitative terms, the thesis presents a multi-case study of 10 leading manufacturing companies in implementing 4.0 technologies, aiming to understand the main factors that influence these companies in adopting information systems for vertical integration. Furthermore, a multi-case qualitative study in 3 buyer-supplier dyads to understand the implications of information asymmetry in MES purchasing allows vertical integration in Industry 4.0. On the other hand, in quantitative terms, the thesis presents a survey conducted with 132 companies in the machinery and equipment sector, through which the contribution of cybersecurity actions to vertical integration is analyzed, making it possible to achieve greater digital transformation. This thesis demonstrates that the implementation of vertical integration is challenging for companies due to its complexity and novelty but that the methodologies presented contribute to clarifying this implementation. Furthermore, it explores the limitations and nuances of these contributions in different situations. The main contribution of this study is to provide empirical evidence of methodologies that support companies in the implementation of vertical integration in the context of Industry 4.0.Um dos princípios fundamentais da Indústria 4.0 no domínio da manufatura inteligente é a implementação da integração vertical, ou seja, a integração dos sistemas de informação dos diferentes níveis hierárquicos da empresa para fornecer fluxo de dados no tempo e suporte à tomada de decisão. Contudo, a literatura acadêmica ainda não tem apresentado evidências empíricas sobre a forma como a integração vertical e as tecnologias que a compõe podem ser implementadas de maneira a contribuir com os requisitos da Indústria 4.0. Embora integração vertical seja apresentada como uma solução para necessidade de visibilidade de dados que a Indústria 4.0 requer, é sabido que existem diferentes caminhos para implementação da integração vertical que dependem dos objetivos operacionais almejados e das características das empresas. Portanto, os conjuntos tecnológicos da integração vertical podem ter diferentes formas de contribuição para alcançar uma maior visibilidade dos processos de produção. O objetivo desta tese é propor uma metodologia para suportar as empresas na implementação de integração vertical que permita que as empresas avancem na Indústria 4.0. O estudo seguiu uma abordagem mista, combinando métodos qualitativos e quantitativo. Em termos qualitativos, a tese apresenta um estudo multicasos em 10 empresas de manufatura líderes na implantação de tecnologias 4.0, visando entender os principais fatores que influenciam essas empresas na adoção de sistemas de informação para integração vertical. E ainda, um estudo qualitativo multicascos em 3 díades de comprador e fornecedor para compreender as implicações da assimetria da informação na compra de MES que permita a integração vertical na Indústria 4.0. Por outro lado, em termos quantitativos, a tese apresenta uma pesquisa survey conduzida com 134 empresas do setor de máquinas e equipamentos, através da qual se analisa a contribuição de ações em cibersegurança na integração vertical possibilita alcançar maior transformação digital. A presente tese demonstra que, de fato, a implementação da integração vertical é desafiadora para as empresas devido sua complexidade e novidade, mas que as metodologias apresentadas contribuem para o esclarecimento dessa implementação. Além disso, explora as limitações e nuances dessas contribuições em diferentes situações. A principal contribuição deste estudo é fornecer evidências empíricas de metodologias que suportem as empresas na implementação de integração vertical no contexto da Indústria 4.0
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