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Kate Ponton, Dion Parera and Jessica Irons
This paper reports on the development, method, and major findings from the Submarine Habitability Assessment Questionnaire (SUB-HAQ) undertaken as part of a lessons-learned review of the current RAN submarine platform. The questionnaire was completed by ...
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Denis Alves Coelho
The aim of this concept article is to articulate multiple contributions from socio-technical fields into an approach for sustaining human-centred lifecycle management of industrial systems. Widespread digitalization and advanced robotics have fostered in...
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Stefan Wolter, Giancarlo Caccia Dominioni, Sebastian Hergeth, Fabio Tango, Stuart Whitehouse and Frederik Naujoks
The advancement of SAE Level 3 automated driving systems requires best practices to guide the development process. In the past, the Code of Practice for the Design and Evaluation of ADAS served this role for SAE Level 1 and 2 systems. The challenges of L...
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Eva Hoos,Pascal Hirmer,Bernhard Mitschang
Pág. 72 - 89
In recent years, Industry 4.0 emerges as a new trend, enabling the integration of data-intensive cyber physical systems, Internet of Things, and mobile applications, into production environments. Even though Industry 4.0 concentrates on automated enginee...
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Fenna van de Merwe, Nina Kähler, Peter Securius
Pág. 1611 - 1620
Accident investigations indicate that the majority of ship accidents are in one way or another caused by human error. The underlying causes are manifold, and include aspects related to difficult working environments, inadequate crew competence, and the l...
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Ambali Alade Odebowale, Andergachew Mekonnen Berhe, Haroldo T. Hattori and Andrey E. Miroshnichenko
The radiative thermal memristor boasts versatile applications, excelling particularly in contactless thermal sensing, where its unique properties make it ideal for scenarios requiring non-intrusive temperature measurements. Additionally, it holds promise...
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Jiahang Chen, Jan Reitz, Rebecca Richstein, Kai-Uwe Schröder and Jürgen Roßmann
Advancing digitalization is reaching the realm of lightweight construction and structural?mechanical components. Through the synergistic combination of distributed sensors and intelligent evaluation algorithms, traditional structures evolve into smart se...
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Alwyn Tan, Mo Salman, Bruce Wagner and Brian McCluskey
Biosurveillance defines the process of gathering, integrating, interpreting, and communicating essential information related to all-hazards threats or disease activity affecting human, animal, or plant health to achieve early detection and warning, contr...
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Xihou Zhang, Dingding Han, Xiaobo Zhang and Leheng Fang
The increasing urban traffic problems have made the transportation system require a large amount of data. Aiming at the current problems of data types redundancy and low coordination rate of intelligent transportation systems (ITS), this paper proposes a...
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Liu Yang
The need for addressing the adverse impacts of transport infrastructure on public spaces and human activities (TSH) emphasizes the importance of designing integrated TSH system, thereby necessitating tailored planning support systems (PSS). This study be...
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Christian Stary,Matthes Elstermann,Albert Fleischmann,Werner Schmidt
Pág. 31 - 52
Digital Twins are digital models of Cyber-Physical Systems to enable not only continuous monitoring but also active functional improvement of networked services, physical products, machines and devices. This capacity is of utmost importance when recogniz...
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James Mountstephens and Jason Teo
Design is a challenging task that is crucial to all product development. Advances in design computing may allow machines to move from a supporting role to generators of design content. Generative Design systems produce designs by algorithms and offer the...
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Katrin Drastig, Ranvir Singh, Fiorina-Marie Telesca, Sofia Zanella Carra and Jasper Jordan
Assessment of nutritional water productivity (NWP) combines a metric of crop or livestock production per unit water consumed and human nutritional value of the food produced. As such, it can rationalize the use of scarce water for a portfolio of crop and...
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Alessia M. R. Tortora, Valentina Di Pasquale, Chiara Franciosi, Salvatore Miranda and Raffaele Iannone
Maintenance contributes to gaining high business performance, guarantees system availability and reliability as well as safe and sustainable operations. Maintenance activity effectiveness depends on competences and the skills of operators whose performan...
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Matthias Kleinert, Oliver Ohneiser, Hartmut Helmke, Shruthi Shetty, Heiko Ehr, Mathias Maier, Susanne Schacht and Hanno Wiese
The information air traffic controllers (ATCos) communicate via radio telephony is valuable for digital assistants to provide additional safety. Yet, ATCos have to enter this information manually. Assistant-based speech recognition (ABSR) has proven to b...
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Afolabi Ige, Linhao Yang, Hang Yang, Jennifer Hasler and Cong Hao
The design of analog computing systems requires significant human resources and domain expertise due to the lack of automation tools to enable these highly energy-efficient, high-performance computing nodes. This work presents the first automated tool fl...
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Nicola Arici, Alfonso Emilio Gerevini, Matteo Olivato, Luca Putelli, Luca Sigalini and Ivan Serina
Artificial Intelligence and Natural Language Processing techniques can have a very significant impact on the e-learning sector, with the introduction of chatbots, automatic correctors, or scoring systems. However, integrating such technologies into the b...
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Romy Müller, Franziska Kessler, David W. Humphrey and Julian Rahm
In traditional production plants, current technologies do not provide sufficient context to support information integration and interpretation. Digital transformation technologies have the potential to support contextualization, but it is unclear how thi...
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Lorenzo Rapetti, Yeshasvi Tirupachuri, Kourosh Darvish, Stefano Dafarra, Gabriele Nava, Claudia Latella and Daniele Pucci
This paper contributes towards the development of motion tracking algorithms for time-critical applications, proposing an infrastructure for dynamically solving the inverse kinematics of highly articulate systems such as humans. The method presented is m...
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Hanen Mhamdi, Jérémie Bourdon, Abdelhalim Larhlimi and Mourad Elloumi
The integration of high-throughput data to build predictive computational models of cellular metabolism is a major challenge of systems biology. These models are needed to predict cellular responses to genetic and environmental perturbations. Typically, ...
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