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Fabrício Lopes Macedo, Carla Ragonezi, Fábio Reis, José G. R. de Freitas, David Horta Lopes, António Miguel Franquinho Aguiar, Délia Cravo and Miguel A. A. Pinheiro de Carvalho
Drosophila suzukii is one of the main pests that attack soft-skinned fruits and cause significant economic damage worldwide. Madeira Island (Portugal) is already affected by this pest. The present work aimed to investigate the potential distribution of D...
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Manohar Chamana, Rabindra Bhatta, Konrad Schmitt, Rajendra Shrestha and Stephen Bayne
The increased adoption of information and communication technology for smart grid applications will require innovative cyber?physical system (CPS) testbeds to support research and education in the field. Groundbreaking CPS testbeds with realistic and sca...
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Ro-Bin Lee, Young Seung Lee, Hyosun Kweon, Hyun Kyung Kim and Yoon Sang Kim
In this paper, we propose an interactive mobile gait training system that allows trainees to interact actively with its content (the gait training content). The proposed system is a new type of gait training one combining a mobile robot with virtual real...
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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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Xueshan Gao, Peng Zhou, Qian Xiao, Li Peng and Mingkang Zhang
With the continuous expansion of road networks and the rise in railway transportation capacity, the scale of locomotive crew needs has increased sharply. However, the current training of locomotive crews is inefficient and costly and cannot meet the need...
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Riku-Pekka Nikula, Mika Ruusunen and Stephan André Böhme
Machine learning techniques are commonly used in the vibration-based condition monitoring of rotating machines. However, few research studies have focused on model training from a practical viewpoint, namely, how to select representative training samples...
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Diogo Teixeira, Silvestre Malta and Pedro Pinto
An intrusion detection system (IDS) is an important tool to prevent potential threats to systems and data. Anomaly-based IDSs may deploy machine learning algorithms to classify events either as normal or anomalous and trigger the adequate response. When ...
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M. Fikret Ercan and Ricky Ben Wang
Recently computer vision has been applied in various fields of engineering successfully ranging from manufacturing to autonomous cars. A key player in this development is the achievements of the latest object detection and classification architectures. I...
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Tracy Arner, Kathryn S. McCarthy and Danielle S. McNamara
Literacy skills are critical for future success, yet over 60% of high school seniors lack proficient reading skills according to standardized tests. The focus on high stakes, standardized test performance may lead educators to ?teach-to-the-test? rather ...
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Arpad Gellert, Stefan-Alexandru Precup, Bogdan-Constantin Pirvu, Ugo Fiore, Constantin-Bala Zamfirescu and Francesco Palmieri
Industrial assistive systems result from a multidisciplinary effort that integrates IoT (and Industrial IoT), Cognetics, and Artificial Intelligence. This paper evaluates the Prediction by Partial Matching algorithm as a component of an assembly assistan...
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Serkan Örücü and Murat Selek
In sports and rehabilitation processes where isotonic movements such as bodybuilding are performed, it is vital for individuals to be able to correct the wrong movements instantly by monitoring the trainings simultaneously, and to be able to train health...
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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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Juan Pablo Medellín Ruiz, Jacobo Ángel Rubio-Arias, Vicente Javier Clemente-Suarez and Domingo Jesús Ramos-Campo
A systematic review and meta-analysis were performed to determine if heart rate variability-guided training (HRV-g), compared to predefined training (PT), maximizes the further improvement of endurance physiological and performance markers in healthy ind...
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Songyuan Zhang, Qiang Fu, Shuxiang Guo and Yili Fu
This paper proposes a new robotic rehabilitation training platform that is motivated by the requirement for adjusting the training strategy and intensity in a patient-specific manner. The platform is implemented for tele-rehabilitation and is comprised o...
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Clement Karani Mbore, Jane Sang, Joyce Komen
Pág. 229 - 239
The purpose of this study was to determine the Moderating Effect of Management Control System (MCS) in the relationship between Organisation Processes and Institutional Performance of Technical Training Institutions (TTIs) in Kenya. The study was a cross...
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Shayan Taheri, Milad Salem and Jiann-Shiun Yuan
In this work, we propose ShallowDeepNet, a novel system architecture that includes a shallow and a deep neural network. The shallow neural network has the duty of data preprocessing and generating adversarial samples. The deep neural network has the duty...
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Azzad Bader SAEED
Pág. 395 - 411
In this paper, an artificial intelligent system has been designed, realized, and downloaded into FPGA (Field Programmable Gate Array), which is used to control five speed ratio steps ( 1,2,3,4,5) of an electrically controlled type of ...
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R. Gaguk Pratama Yudha, I Gede Puja Astawa, Amang Sudarsono
Pág. 221 - 236
Orthogonal Frequency Division Multiplexing (OFDM) is a popular wireless data transmission scheme. However, its synchronization is still being a major problem when it is applied in real hardware. Cyclic Prefix (CP) based synchronization is one of the solu...
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Elena Eliseeva,Veronika Weiler,Olga Kuznetsova,Mariya Mishina,Alexey Zverev,Olga Nazarova
Pág. 57 - 62
The paper analyzes the topical issue concerning training of creative specialists in the professional training system. The concept of advanced education, which allows to provide such new properties and qualities as portability, adaptability, continuity, i...
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Elena G. Nelyubina,Lily G. Safina,Elena Yu. Bobkova,Elena V. Korobejnikova,Ekaterina P. Melysheva
Pág. 249 - 255
education and population enlightenment become the first priority. The principles and objectives of environmental education should be formulated in accordance with the social order, which is given to the education system from the whole society: the format...
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