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José Alexander Gil Marin
Pág. 67 - 88
Se estudió un conjunto de datos recolectados durante el año 2016 en ochos pozos de la ciudad de Maturín, Estado de Monagas, Venezuela, en un intento por evaluar y determinar las aportaciones de la fuente que afectan la calidad del agua. Una técnica preci...
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Lu Xu, Xiaxia Liu and Yijia Zhang
Most of the existing estimation methods of spreading code sequence are not suitable for the QPSK-DSSS. We propose a spreading code sequence estimation method based on fast independent component analysis (Fast-ICA). It mainly includes signal preprocessing...
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Víctor Castillo Riquelme, Josías Valdebenito Troncoso, Ignacio Torres Uribe, María Belén Muñoz Otárola, Paulina Chávez Gómez
Pág. 26
El ciberacoso laboral es un fenómeno que ha recibido escasa atención en la literatura académica. Esta investigación buscó validar un instrumento para medir el ciberacoso laboral. Se tradujo la escala ICA-W de Vranjes et al. (2018) y se realizó una explor...
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Jiyeon Shim and Illsoo Kim
The Magnetic Pulse Welding (MPW) process uses only electromagnetic force to create a solid-state metallurgical bond between a working coil and outer workpiece. The electromagnetic force drives the outer tube to collide with the inner rod, resulting in su...
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Hong Je-Gal, Seung-Jin Lee, Jeong-Hyun Yoon, Hyun-Suk Lee, Jung-Hee Yang and Sewon Kim
Ensuring operational reliability in machinery requires accurate fault detection. While time-domain vibration pulsation signals are intuitive for pattern recognition and feature extraction, downsampling can reduce analytical complexity, but may result in ...
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Anna Feleki, Ioannis D. Apostolopoulos, Serafeim Moustakidis, Elpiniki I. Papageorgiou, Nikolaos Papathanasiou, Dimitrios Apostolopoulos and Nikolaos Papandrianos
Myocardial Perfusion Imaging (MPI) has played a central role in the non-invasive identification of patients with Coronary Artery Disease (CAD). Clinical factors, such as recurrent diseases, predisposing factors, and diagnostic tests, also play a vital ro...
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Yu Jing, Fugui Qi, Fang Yang, Yusen Cao, Mingming Zhu, Zhao Li, Tao Lei, Juanjuan Xia, Jianqi Wang and Guohua Lu
As an important and basic platform for remote life sensing, unmanned aerial vehicles (UAVs) may hide the vital signals of an injured human due to their own motion. In this work, a novel method to remove the platform motion and accurately extract human re...
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Jozsef Pap, Csaba Mako, Miklos Illessy, Zef Dedaj, Sina Ardabili, Bernat Torok and Amir Mosavi
Given the importance of identifying key performance points in organizations, this research intends to determine the most critical intra- and extra-organizational elements in assessing the performance of firms using the European Company Survey (ECS) 2019 ...
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Zhihua Wang, Zhan Zhao and Chenglong Yin
The classification of unmanned aerial vehicle hyperspectral images is of great significance in agricultural monitoring. This paper studied a fine classification method for crops based on feature transform combined with random forest (RF). Aiming at the p...
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Shingchern D. You and Ming-Jen Hung
This paper studies the use of three different approaches to reduce the dimensionality of a type of spectral?temporal features, called motion picture expert group (MPEG)-7 audio signature descriptors (ASD). The studied approaches include principal compone...
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