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Umberto Albertin, Giuseppe Pedone, Matilde Brossa, Giovanni Squillero and Marcello Chiaberge
New technologies are developed inside today?s companies with the ascent of Industry 4.0 paradigm; Artificial Intelligence applied to Predictive Maintenance is one of these, helping factories automate their systems in detecting anomalies. The deviation of...
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Alexandra P. Schneider, Benoit Paoletti, Xavier Ottavy and Christoph Brandstetter
Experimental monitoring of blade vibration in turbomachinery is typically based on blade-mounted strain gauges. Their signals are used to derive vibration amplitudes which are compared to modal scope limits, including a safety factor. According to indust...
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Mehrzad Lavassani, Johan Åkerberg and Mats Björkman
The network infrastructures in the future industrial networks need to accommodate, manage and guarantee performance to meet the converged Internet technology (IT) and operational technology (OT) traffics requirements. The pace of IT?OT networks developme...
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Valeria Placidi, Michele Cenci, Francesco Castellani and Marta Falasca
The increasingly complex dynamics of urban planning require an innovative approach to land use suitability analyses and environmental assessments. Traditionally, these disciplines have provided a critical foundation for sustainable urban development, but...
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Chen Chen, Xin Jiang, Shu Miao, Weiguo Zhou and Yunhui Liu
In the industrial domain, estimating the pose of texture-less shiny parts is challenging but worthwhile. In this study, it is impractical to utilize texture information to obtain the pose because the features are likely to be affected by the surrounding ...
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Raquel Redondo, Álvaro Herrero, Emilio Corchado and Javier Sedano
In recent years, the digital transformation has been advancing in industrial companies, supported by the Key Enabling Technologies (Big Data, IoT, etc.) of Industry 4.0. As a consequence, companies have large volumes of data and information that must be ...
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Yujie Liu, Qi Yu, Zihan Huang, Weichun Ma and Yan Zhang
Precise source identification for ambient pollution incidents in industrial parks were often difficult due to limited measurements. Source area analysis method was one of the applicable source identification methods, which could provide potential source ...
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Péter Dobra and János Jósvai
Nowadays, one of the important and indispensable conditions for the effectiveness and competitiveness of industrial companies is the high efficiency of manufacturing and assembly. These enterprises based on different methods and tools systematically moni...
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Choongman Lee, Gyu-Jung Cho and Joorak Kim
This paper presents a Scott transformer model to be applied in electromagnetic transients (EMT) programs, particularly in the absence of a detailed Scott transformer model for performing real-time simulations (RTS). Regarding a Scott transformer, a commo...
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Alfredo Nespoli, Emanuele Ogliari, Silvia Pretto, Michele Gavazzeni, Sonia Vigani and Franco Paccanelli
Accurate forecast of aggregate end-users electric load profiles is becoming a hot topic in research for those main issues addressed in many fields such as the electricity services market. Hence, load forecast is an extremely important task which should b...
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Margarita Razgon and Alireza Mousavi
In this paper we propose a novel approach of rule learning called Relaxed Separate-and-Conquer (RSC): a modification of the standard Separate-and-Conquer (SeCo) methodology that does not require elimination of covered rows. This method can be seen as a g...
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Sergei Borsch, Andrei Khristoforov, Vladimir Krovotyntsev, Ekaterina Leontieva, Yuri Simonov and Victoria Zatyagalova
This paper presents the basin approach to the design, development, and operation of a hydrological forecasting and early warning system in a large transboundary river basin of high flood potential, where accurate, reliable, and timely available daily wat...
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Serdar Kurt
Pág. 441 - 447
This paper aims to test the direct and indirect (external) effects of health expenditures on economic growth using the Feder-Ram model. It uses aggregate and manufacturing industrial production as total output, total government health expenditures, gener...
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Cheng Liu, Zhujun Si, Jun Hua and Na Jia
The problem of two-dimensional irregular packing involves the arrangement of objects with diverse shapes and sizes within a given area. This challenge arises across various industrial sectors, where effective packing optimization can yield cost savings, ...
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Vasiliki Demertzi, Stavros Demertzis and Konstantinos Demertzis
The rapid advancements in technology have given rise to groundbreaking solutions and practical applications in the field of the Industrial Internet of Things (IIoT). These advancements have had a profound impact on the structures of numerous industrial o...
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Ulrike Faltings, Tobias Bettinger, Swen Barth and Michael Schäfer
Collecting and labeling of good balanced training data are usually very difficult and challenging under real conditions. In addition to classic modeling methods, Generative Adversarial Networks (GANs) offer a powerful possibility to generate synthetic tr...
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Renyou Zhang, Huixing Meng, Jun Ge and Henry Tan
Oil tanker offloading is a human-related and high-risk task. A small operational error may trigger catastrophic accidents such as fire and explosion. It is recognised that more than 70% of industrial accidents are blamed for human errors, so preventing t...
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Shaoqing Guo, Junmin Mou, Linying Chen and Pengfei Chen
With the enormous amount of information provided by the ship Automatic Identification System (AIS), AIS is now playing a significant role in maritime transport system-related research and development. Many kinds of research and industrial applications ar...
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Seyed Jalal Mohammadi Doulabi Fard and Soheil Jafari
The Advisory Council for Aeronautics Research in Europe (ACARE) Flight Path 2050 focuses on ambitious and severe targets for the next generation of air travel systems (e.g., 75% reduction in CO2 emissions per passenger kilometer, a 90% reduction in NOx e...
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Ladislav Huraj, Tibor Horak, Peter Strelec and Pavol Tanuska
Industry 4.0 collects, exchanges, and analyzes data during the production process to increase production efficiency. Internet of Things (IoT) devices are among the basic technologies used for this purpose. However, the integration of IoT technology into ...
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