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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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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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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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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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Ali Al-Naji, Ghaidaa A. Khalid, Jinan F. Mahdi and Javaan Chahl
Patients with the COVID-19 condition require frequent and accurate blood oxygen saturation (SpO2) monitoring. The existing pulse oximeters, however, require contact-based measurement using clips or otherwise fixed sensor units or need dedicated hardware ...
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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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Abdelrahman Khalifa, Bashar Bashir, Ziyadin Çakir, Sinasi Kaya, Abdullah Alsalman and Ahmed Henaish
A principal and independent component analysis (PCA and ICA) and a minimum noise fraction analysis (MNFA) were applied in this study to Landsat 8 Operational Land Imager (OLI) images along the Adiyaman fault zone in Eastern Turkey. These analyses indicat...
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Zhiyang He, Weidong Cheng, Jiqiang Xia, Weigang Wen and Meng Li
With the development of industrial robots and other mechanical equipment to a higher degree of automation, mechanical systems have become increasingly complex. This represents a huge challenge for condition monitoring. The separation of vibration source ...
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Yulong Feng, Wei Xiao, Teng Wu, Jianwei Zhang, Jing Xiang and Hong Guo
Magnetoencephalography (MEG) detects very weak magnetic fields originating from the neurons so as to study human brain functions. The original detected MEG data always include interference generated by blinks, which can be called blink artifacts. Blink a...
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Alaba Boluwade
Soil health plays a major role in the ability of any nation to meet the Sustainable Development Goals. Understanding the spatial variability of soil health indicators (SHIs) may help decision makers develop effective policy strategies and make appropriat...
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