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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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Baohua Tan, Enpu Wang, Kan Cao, Lu Xiao and Lina Luo
In order to improve the agility of college students, this paper designs a distributed agility training system. The system includes an upper computer and nine lower computers, in which the lower computer realizes the functions of data acquisition and comm...
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Brian Sims and Jennifer Heney
The importance of conservation agriculture (CA) is discussed in the context of producing food for a growing population while, at the same time, conserving and improving the natural resource base: sustainable crop production intensification. CA requires m...
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David Checa, Juan José Saucedo-Dorantes, Roque Alfredo Osornio-Rios, José Alfonso Antonino-Daviu and Andrés Bustillo
The incorporation of new technologies as training methods, such as virtual reality (VR), facilitates instruction when compared to traditional approaches, which have shown strong limitations in their ability to engage young students who have grown up in t...
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Dean Sumic, Lada Males and Marko Rosic
Maritime safety is an ongoing process in shipping that is constantly being improved by the modernization of equipment and constant improvements in operators? safety procedures and training. However, human error remains a significant factor in maritime ac...
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Frank Sokolic,Mark Rawlins,Kevin Jan Duffy
Pág. pp. 38 - 41
This paper describes a simple method for estimating haul road defect positions from alongside roads. It is a method that is cheap and easy to implement, needing only a minimal amount of field equipment and training. Observers are required to estimate th...
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Yu Yao and Quan Qian
We develop the online process parameter design (OPPD) framework for efficiently handling streaming data collected from industrial automation equipment. This framework integrates online machine learning, concept drift detection and Bayesian optimization t...
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M.G. Zhabitskii,S.A. Kulak,A.S. Novikova
Pág. 18 - 29
Virtual reality technology today can be successfully used not only in the entertainment industry, where it is already firmly entrenched, but also for training personnel in various fields of human activity. The development of innovative technologies will ...
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M.G. Zhabitskii,S.A. Kulak,A.S. Novikova
Pág. 18 - 29
Virtual reality technology today can be successfully used not only in the entertainment industry, where it is already firmly entrenched, but also for training personnel in various fields of human activity. The development of innovative technologies will ...
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Rui Tao, Hongxiang Ren and Yi Zhou
Under the current background of navigation education, students generally lack a comprehensive grasp of ship firefighting equipment?s operation. Therefore, we develop a novel ship firefighting training simulator with a multi-sensory human?computer interac...
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Varaidzo Denhere,Tankiso Moloi
Pág. 37 - 51
This study aimed at determining the readiness of South African Public Technical and Vocational Education and Training (TVET) Colleges to operate in the 4IR. An assessment of the indicators deemed to prove readiness by the researchers of this study basing...
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Offia Tugwell Owo,Prince Maduabuchukwu Ajie
Pág. 174 - 187
The study determined the challenges of technical vocational education and training programmes in polytechnics in Nigeria. The study which adopted descriptive survey design used purposive sampling technique to obtain a sample of 518 subjects (consisting o...
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Kazuma Yanagisawa, Kakuro Amasaka
This study employs motion capture and statistics todevelop an objective, rational scoring system for classical ballet and uses theresults to construct a scoring support approach model. Specifically, the studyfocuses on classical ballet, using interviews ...
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Deema Almaskati, Sharareh Kermanshachi, Apurva Pamidimukkala, Karthikeyan Loganathan and Zhe Yin
Hazard identification is a fundamental step in safety management that has the potential to reduce the number and severity of occupational injuries on construction sites. Researchers have identified and evaluated some of the hazards, but few have extensiv...
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Bo Wu, Yuan Wu, Ran Dong, Kiminori Sato, Soichiro Ikuno, Shoji Nishimura and Qun Jin
In the mountainous areas of Japan, the weeds on the slopes of terraced rice paddies still need to be cut by the elderly manually. Therefore, more attention should be given to maintain proper postures while performing mowing actions (especially the pre-cu...
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Yifan Zhang and Quanmin Zhu
Industrial robots play an indispensable role in flexible production lines, and the faults caused by degradation of equipment, motors, mechanical system joints, and even task diversity affect the efficiency of production lines and product quality. Aiming ...
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Abdelrahman M. Abdallah, Mehmet E. Ozbek and Rebecca A. Atadero
Over the last two decades, many researchers have focused on providing new ideas and frameworks to help improve conventional bridge inspection planning approaches, however, little guidance is provided for implementing these new ideas in practice, resultin...
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Yao Lu, Zhibin Qiu, Caibo Liao, Zhibiao Zhou, Tonghongfei Li and Zijian Wu
The correct identification of partial discharge types is of great significance to the stable operation of GIS. In order to improve the recognition accuracy and result of partial discharge, and to meet the requirements of real-time monitoring of GIS equip...
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D.A. Safronov,Y.D. Kazer,K.S. Zaytsev
Pág. 39 - 45
The purpose of this work is to reduce the cost of troubleshooting digital equipment by improving anomaly recognition methods based on the use of autoencoders. To do this, the authors propose to use two types of autoencoders: a deep feed-forward autoencod...
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D.A. Safronov,Y.D. Kazer,K.S. Zaytsev
Pág. 39 - 45
The purpose of this work is to reduce the cost of troubleshooting digital equipment by improving anomaly recognition methods based on the use of autoencoders. To do this, the authors propose to use two types of autoencoders: a deep feed-forward autoencod...
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