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Filipe Manuel Clemente, Rui Silva, Daniel Castillo, Asier Los Arcos, Bruno Mendes and José Afonso
The aim of this study was two-fold: (1) to analyze the variations of acute load, training monotony, and training strain among early (pre-season), mid (first half of season), and end season (second half of season) periods; (2) to compare these training in...
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Dhodit Rengga Tisna, M. Udin Harun Al Rasyid, Sritrusta Sukaridhoto
Pág. 178 - 199
The performance condition of an athlete must always be maintained, one way to maintain that performance is by training. Each individual has different abilities and physiological responses in receiving the portion of the exercise. Physical exercise that e...
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Richard Hauer, Antonio Tessitore, Reinhard Knaus and Harald Tschan
Both objective (OM) and subjective (SM) methods are used in athletic studies, regardless of sport type, to identify and analyze load and recovery status of athletes. As little information exists about the comparison of these two methodologies, the aim of...
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Yifan Fang, Shanshan Jiang, Shengxuan Fang, Zhenxi Gong, Min Xia and Xiaodong Zhang
Load decomposition technology is an important aspect of power intelligence. At present, there are mainly machine learning methods based on artificial features and deep learning methods for load decomposition. The method based on artificial features has a...
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Víctor Hernández-Beltrán, Sergio J. Ibáñez, Mário C. Espada and José M. Gamonales
Planning and evaluation of the training sessions provide valuable information regarding the evolution of the physical condition and the load to which the players are exposed.
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Datao Xu, Yang Song, Yao Meng, Bíró István and Yaodong Gu
Firefighters require a high level of physical fitness to meet the demands of their job. The correlations and contributions of individual physical health parameters to the tasks of firefighting would enable firefighters to focus on the effects of specific...
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Xiaotong Sun, Yu Xin, Zuocai Wang, Minggui Yuan and Huan Chen
This paper proposes the use of Gaussian Bayesian networks (GBNs) for damage detection of steel truss bridges by using the strain monitoring data. Based on the proposed damage detection procedure, a three-layer GBN model is first constructed based on the ...
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Liting Zhang, Qian Zhang, Siyang Zhou and Shanglin Liu
The tunneling total load is one of the core control parameters for safe and efficient construction using tunneling machines. However, because the tunneling process involves complex coupling relationships between the equipment and the local geology, theor...
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Grzegorz Wojdala, Artur Golas, Michal Krzysztofik, Robert George Lockie, Robert Roczniok, Adam Zajac and Michal Wilk
The aim of this study was to compare the muscle activity between the sling shot assisted (SS) and control (CONT) flat barbell bench press for selected external loads of 70%, 85%, 100% one-repetition maximum (1RM). Ten resistance-trained men participated ...
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George Stamatellos and Tassos Stamatelos
In spite of the significant developments in machine learning methods employed for short-term electrical load forecasting on a Country level, the complexity and diversity of the problem points to the need for investing more research effort in the selectio...
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Alan Griffin, Ian C. Kenny, Thomas M. Comyns and Mark Lyons
A training monitoring system (TMS) should be both attainable and scientifically grounded; however, the optimal method of monitoring training is not yet fully understood. The purpose of this study was to develop and evaluate an online TMS for amateur rugb...
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Florent Grotto, Oscar Peta, Christophe Bouvet, Bruno Castanié and Joël Serra
Airworthiness certification requires proof of structure strength, which is performed generally through a building block approach. To achieve this, representative intermediate-scale experiments generated by test benches are, in general, needed, in additio...
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Feng Zhou, Shijing Hu, Xin Du, Xiaoli Wan and Jie Wu
In the current field of disease risk prediction research, there are many methods of using servers for centralized computing to train and infer prediction models. However, this centralized computing method increases storage space, the load on network band...
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Mazen Gazzan and Frederick T. Sheldon
Ransomware attacks have emerged as a significant threat to critical data and systems, extending beyond traditional computers to mobile and IoT/Cyber?Physical Systems. This study addresses the need to detect early ransomware behavior when only limited dat...
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Cem Ünlübayir, Ulrich Hermann Mierendorff, Martin Florian Börner, Katharina Lilith Quade, Alexander Blömeke, Florian Ringbeck and Dirk Uwe Sauer
This research paper presents a data-based energy management method for a vessel that predicts the upcoming load demands based on data from weather information and its automated tracking system. The vessel is powered by a hybrid propulsion system consisti...
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Mengchuang Zhang, Shasha Xia, Yongsheng Huang, Jiawei Tian and Zhiping Yin
Flight maneuver recognition (FMR) is a critical tool for capturing essential information about the state of an aircraft, which is necessary to improve pilot training, flight safety, and autonomous air combat. However, due to the alignment of multidimensi...
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Li-Chia Chang and Jeih-Weih Hung
This study proposes a novel robust speech feature extraction technique to improve speech recognition performance in noisy environments. This novel method exploits the information provided by the original acoustic model in the automatic speech recognition...
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Ji-Yoon Kim, Jong-Hak Lee, Ji-Hyun Oh and Jin-Seok Oh
Efficient vessel operation may reduce operational costs and increase profitability. This is in line with the direction pursued by many marine industry stakeholders such as vessel operators, regulatory authorities, and policymakers. It is also financially...
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Peng Zhang, Zhihao Wu, Chunyi Cui and Ruqing Yao
Ice-induced vibration is one of the major risks that face the offshore platform located in cold regions. In this paper, the gated recurrent neural network (GRNN) is utilized to predict and suppress the response of offshore platforms subjected to ice load...
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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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