|
|
|
Lutz Auersch
The mitigation of train-induced ground vibrations by track solutions is investigated by calculations and measurements. The calculation by a wavenumber domain method includes the correct vehicle?track interaction and the correct track?soil interaction. So...
ver más
|
|
|
|
|
|
|
Daniel Jancarczyk, Ireneusz Wróbel, Piotr Danielczyk and Marcin Sidzina
Vibration monitoring is essential for maintaining the optimal performance and reliability of industrial machinery, which experiences dynamic forces and vibrations during operation. This study delved into a comprehensive analysis of vibration monitoring i...
ver más
|
|
|
|
|
|
|
B. F. Rauch, W. V. Zober, Q. Abarr, Y. Akaike, W. R. Binns, R. F. Borda, R. G. Bose, T. J. Brandt, D. L. Braun, J. H. Buckley, N. W. Cannady, S. Coutu, R. M. Crabill, P. F. Dowkontt, M. H. Israel, M. Kandula, J. F. Krizmanic, A. W. Labrador, W. Labrador, L. Lisalda, J. V. Martins, M. P. McPherson, R. A. Mewaldt, J. G. Mitchell, J. W. Mitchell, S. A. I. Mognet, R. P. Murphy, G. A. de Nolfo, S. Nutter, M. A. Olevitch, N. E. Osborn, I. M. Pastrana, K. Sakai, M. Sasaki, S. Smith, H. A. Tolentino, N. E. Walsh, J. E. Ward, D. Washington, A. T. West and L. P. WilliamsaddShow full author listremoveHide full author list
The Trans-Iron Galactic Element Recorder (TIGER) family of instruments is optimized to measure the relative abundances of the rare, ultra-heavy galactic cosmic rays (UHGCRs) with atomic number (Z) Z = 30. Observing the UHGCRs places a premium on exposure...
ver más
|
|
|
|
|
|
|
Galina Ilieva, Tania Yankova, Margarita Ruseva, Yulia Dzhabarova, Veselina Zhekova, Stanislava Klisarova-Belcheva, Tanya Mollova and Angel Dimitrov
The objective of this study is to investigate and determine factors influencing user perception and acceptance of electronic government services in the context of technological advancements. The research focuses on classifying the main features of e-admi...
ver más
|
|
|
|
|
|
|
Rodrigo Scoczynski Ribeiro, Marc Arnela, Manuel Teixeira Braz-César, Rúbia Mara Bosse, Laura Silvestro, Gustavo de Miranda Saleme Gidrão, Mariane Kempka, Dyorgge Alves Silva and Marcela Maier Farias Czap
In Brazil, there is a shortage of approximately 5.80 million residences, a challenge that intensified during the pandemic. Since 2013, there has been a mandate to implement specific performance criteria in residential constructions. However, many constru...
ver más
|
|
|
|
|
|
|
Rui Yuan, Ruiyang Xu, Hezhenjia Zhang, Yutao Hua, Hongsheng Zhang, Xiaojing Zhong and Shenliang Chen
This study presents an in-depth analysis of the dynamic beach landscapes of Hainan Island, which is located at the southernmost tip of China. Home to over a hundred natural and predominantly sandy beaches, Hainan Island confronts significant challenges p...
ver más
|
|
|
|
|
|
|
Dibo Dong, Shangwei Wang, Qiaoying Guo, Yiting Ding, Xing Li and Zicheng You
Predicting wind speed over the ocean is difficult due to the unequal distribution of buoy stations and the occasional fluctuations in the wind field. This study proposes a dynamic graph embedding-based graph neural network?long short-term memory joint fr...
ver más
|
|
|
|
|
|
|
Ángela Fontán-Bouzas, Tiago Abreu, Caroline C. Ferreira, Paulo A. Silva, Laura López-Olmedilla, José Guitián, Ana M. Bernabeu and Javier Alcántara-Carrió
The morphological responses of two mesotidal beaches located in different coastal settings (embayed and open sandy beaches) on the northwestern Iberian coast were monitored during the winter of 2018/19. The offshore wave time series analysis is related t...
ver más
|
|
|
|
|
|
|
David Naseh, Mahdi Abdollahpour and Daniele Tarchi
This paper explores the practical implementation and performance analysis of distributed learning (DL) frameworks on various client platforms, responding to the dynamic landscape of 6G technology and the pressing need for a fully connected distributed in...
ver más
|
|
|
|
|
|
|
Louis Closson, Christophe Cérin, Didier Donsez and Jean-Luc Baudouin
This paper aims to provide discernment toward establishing a general framework, dedicated to data analysis and forecasting in smart buildings. It constitutes an industrial return of experience from an industrialist specializing in IoT supported by the ac...
ver más
|
|
|
|