1,720,961 research outputs found

    A Digital Twin Architecture for Intelligent Public Transportation Systems: A FIWARE-Based Solution

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    Public transportation systems play a vital role for society, but they often fall short in addressing the dynamic needs of commuters. Intelligent Public Transportation Systems (IPTS) hold promise for enhancing efficiency and adapting to these evolving requirements. Digital twins (DT), virtual representations of real-world systems, can be leveraged to create dynamic replicas that guide real-time decision-making and optimization for IPTS. This paper examines the concept of digital twins and their potential for IPTS, highlighting the challenges and opportunities that must be addressed to fully capitalize on this technology. Moreover, a DT-based IPTS architecture is proposed leveraging on FIWARE Smart Data Models for data interoperability. Finally, a small real-world instance of the proposed architecture and data model is illustrated involving a bus-based IPTS where the DT technology is adopted to enable bus passenger demand prediction and bus scheduling update

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Digital Twins in Healthcare: an architectural proposal and its application in a social distancing case study

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    The digital transformation process fostered by the development of Industry 4.0 technologies has largely affected the health sector, increasing diagnostic capabilities and improving drug effectiveness and treatment delivery. The Digital Twin (DT) technology, based on the virtualization of physical assets/processes and on a bidirectional communication between the digital and physical space for data exchange, is considered a game changer in modern health systems. Digital Twin applications in healthcare are various, ranging from virtualization of hospitals' physical spaces/organizational processes to individuals' physiological/genetic/lifestyle characteristics replication, and include the modeling of public health-related processes for monitoring, optimization and planning purposes. In this paper, motivated by the current COVID-19 pandemic, we focus on the application of the Digital Twin technology for virus containment on the workplace through social distancing. The contribution of this paper is three-fold: i) we review the existing literature on the adoption of the Digital Twin technology in the healthcare domain, and propose a classification of DT applications into four categories; ii) we propose a generalized Digital Twin architecture that can be used as reference to identify the main functional components of a Digital Twin system; iii) we present CanTwin, a real-life industrial case study developed by Hitachi and representing the Digital Twin of a canteen service serving 1100 workers, set up for social distancing monitoring, queue inspection, people counting and tracking, table occupancy supervision

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Digital Twin Space: The Integration of Digital Twins and Data Spaces

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    Digital Twins (DTs) are the novel paradigm for the development of Cyber-Physical systems. The state of art presents several use cases in different domains, and one of the most complex examples is represented by the Urban Digital Twin (UDT), which aims to virtualize urban assets (e.g., buildings, mobility infrastructures, energy grids, waste management facilities, etc.) and build advanced analysis and prediction services upon a city’s digital representation. UDTs represent a formidable example of system of systems, as they are structured into a hierarchy of interconnected DT instances that process and share a huge amount of data subject to different access and usage policies. Regarding data management in complex distributed scenarios, Data Spaces are an emerging paradigm that aims at building a secure and privacy-preserving infrastructure to pool, access, share, process and use data. As a matter of fact, existing DTs solutions (not only in the urban domain) do not present a clear software architecture characterization and, moreover, they pay little attention to the data management aspects. To bridge this gap, in this paper we present the Digital Twin Space, an architectural proposal that aims to instantiate Data Spaces into DTs according to the guidelines set by relevant international projects. We use the UDT as a running example and we validate the model in the case of a smartPV panel, showing that the model matches the real cyber-physical system

    Smart Ecosystems and Digital Twins: an architectural perspective and a FIWARE-based solution

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    Smart ecosystems today span several sectors, including smart manufacturing, energy management, smart cities, smart healthcare, precision farming, and others. Digital Twins (DTs) are emerging as a powerful technology that can act as the digital backbone of a smart ecosystem, providing the data, insights, and control capabilities needed for real-time optimization and collaboration among involved entities. In this paper, we focus on the architectural integration of DTs within smart ecosystems, addressing interoperability challenges and aligning with identified DT requirements. We introduce DT-enabled Ecosystem (DTE) architecture structured in: i) Logical View, outlining key DTE entities and relations; ii) Technological View, mapping entities and requirements onto FIWARE components; iii) Development View, providing low-level description in a smart mobility case study. This multi-view approach facilitates the deployment and scalability of DTs in diverse smart ecosystem scenarios
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