|
|
|
|
|
Lin Xu, Shanxiu Ma, Zhiyuan Shen, Shiyu Huang and Ying Nan
In order to determine the fatigue state of air traffic controllers from air talk, an algorithm is proposed for discriminating the fatigue state of controllers based on applying multi-speech feature fusion to voice data using a Fuzzy Support Vector Machin...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yufan He, Can Luo, Li Cheng, Yandong Gu and Bin Gu
The shaft-type tubular pumping station has the remarkable characteristics of a large flow rate and high efficiency. It can realize the functions of irrigation, pumping, and drainage through pumping and generating conditions considering tides. Moreover, i...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wen Tian, Xuefang Zhou, Jianan Yin, Yuchen Li and Yining Zhang
The complex layout of the airport surface, coupled with interrelated vehicle behaviors and densely mixed traffic flows, frequently leads to operational conflict risks. To address this issue, research was conducted on the recognition of characteristics an...
ver más
|
|
|
|
|
|
|
|
|
|
|
Longxin Yao, Yun Lu, Mingjiang Wang, Yukun Qian and Heng Li
The construction of complex networks from electroencephalography (EEG) proves to be an effective method for representing emotion patterns in affection computing as it offers rich spatiotemporal EEG features associated with brain emotions. In this paper, ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hongfeng Gao, Tiexin Xu, Renlong Li and Chaozhi Cai
Because the gearbox in transmission systems is prone to failure and the fault signal is not obvious, the fault end cannot be located. In this paper, a gearbox fault diagnosis method grounded on improved complete ensemble empirical mode decomposition with...
ver más
|
|
|
|
|
|
|
|
|
|
|
Andrei Velichko, Maksim Belyaev, Yuriy Izotov, Murugappan Murugappan and Hanif Heidari
Entropy measures are effective features for time series classification problems. Traditional entropy measures, such as Shannon entropy, use probability distribution function. However, for the effective separation of time series, new entropy estimation me...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mengran Zhou, Xiaokang Yao, Ziwei Zhu and Feng Hu
A prerequisite for refined load management, crucial for intelligent energy management, is the precise classification of electric loads. However, the high dimensionality of electric load samples and poor identification accuracy of industrial scenarios mak...
ver más
|
|
|
|
|
|
|
|
|
|
|
Artur I. Petrov
The aim of this research is to study the specifics of the road accident rate formation processes in regions of the Russian Federation (2021) using information-entropic analysis. The typical research approaches (correlation-regression, factorial analyses,...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ki-Beom Choo, Hyunjoon Cho, Jung-Hyeun Park, Jiafeng Huang, Dongwook Jung, Jihyeong Lee, Sang-Ki Jeong, Jongsu Yoon, Jinhun Choo and Hyeung-Sik Choi
This study focuses on faults in the thrusters of unmanned surface vehicles, which are fatal to the integrity of their missions. As for the fault conditions, the breakage of the thruster blade and the entanglement of floating objects were selected, and a ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Saige Lv and Xiong Hu
In order to solve the problems of subjectivity in the extraction of traditional degradation features and incomplete degradation information contained in a single sensor signal, a performance degradation assessment and abnormal health status detection met...
ver más
|
|
|
|
|
|