Results 261 to 270 of about 17,263,930 (338)

Channel State Identification in Complex Indoor Environments With ST-CNN and Transfer Learning

IEEE Communications Letters, 2023
Accurate channel state identification can improve the accuracy of ultrawideband (UWB) indoor positioning. In complex indoor environments, existing channel state identification methods suffer from high costs.
Zhiguo Sun, Kaixuan Wang, Rongchen Sun, Zengmao Chen   +3 more
semanticscholar   +1 more source

Radial-Flux Rotational Wireless Power Transfer System With Rotor State Identification

IEEE transactions on power electronics, 2022
A radial-flux rotational wireless power transfer (RF-R-WPT) system with rotor state identification function has been proposed to provide power to the devices mounted on a rotating shaft in this article.
Longyang Wang, Jiangui Li, Huiying Chen, Zijun Pan   +3 more
semanticscholar   +1 more source

Online structural damage state identification of concrete arch dams under dynamic loads using a recursive TVARX approach

Structural Health Monitoring, 2022
Concrete arch dams have been widely constructed worldwide, and many of these dams are located in areas with high seismic activity. However, strong seismic loading poses a severe threat to concrete arch dams, and dams have the risk of suffering damage and
Jianchun Qiu, Dongjian Zheng, Pengcheng Xu, Q. Cao, Zhuoyan Chen, Bo Xu   +5 more
semanticscholar   +1 more source

Energy efficiency state identification of milling processing based on EEMD-PCA-ICA

, 2021
On-line identification of energy efficiency state in cutting process is one of the important topics in high energy efficient cutting. The energy efficiency state and other states (tool state, etc.) are mixed in various signals (force, power etc.) during ...
Jianjian Yuan, H. Shao, Yun-ze Cai, Xinhua Shi   +3 more
semanticscholar   +1 more source

Dynamic synchronization state identification

2017 8th International IEEE/EMBS Conference on Neural Engineering (NER), 2017
In the sensory thalamus and periventricular gray/periaqueductal gray (PVAG) nucleus, the synchronization level of multiple frequency band oscillations of local field potentials (LFPs) have been shown to be associated with chronic pain perception and modulation.
Luo, H, Du, X, Huang, Y, Green, A, Aziz, T, Wang, S   +5 more
openaire   +2 more sources

State Identification and Verification with Satisfaction

2022
We use SAT-solving to construct adaptive distinguishing sequences and unique input/output sequences for finite state machines in the flavour of Mealy machines. These sequences solve the state identification and state verification problems respectively. Preliminary experiments evaluate our implementation and show that this approach via SAT-solving works
Joshua Moerman, Thorsten Wißmann
openaire   +3 more sources

Generalized state identification problems

8th Annual Symposium on Switching and Automata Theory (SWAT 1967), 1967
Various procedures have long been known for synthesizing a sequential machine with a feedback shift-register if each state is to have exactly one assignment; however, these approaches fail if each state is allowed to have more than one assignment. Herein lies the equivalent-state problem.
E. L. Lawler, T. F. Piatkowski
openaire   +1 more source

Toward Flotation Process Operation-State Identification via Statistical Modeling of Biologically Inspired Gabor Filtering Responses

IEEE Transactions on Cybernetics, 2020
This paper presents a froth image statistical modeling-based online flotation process operation-state identification method by introducing a biologically inspired Gabor wavelet transform in accordance with the physiological findings in the biological ...
Jinping Liu, Jiaming Zhou, Zhaohui Tang, W. Gui, Yongfang Xie, Jiezhou He, Tianyu Ma, Jean Paul Niyoyita   +7 more
semanticscholar   +1 more source

A deep convolutional neural network based fusion method of two-direction vibration signal data for health state identification of planetary gearboxes

Measurement, 2019
With the great ability of transforming data into deep and abstract features adaptively through nonlinear mapping, deep learning is a promising tool to improve the intelligence and accuracy of diagnosis.
Huipeng Chen, N. Hu, Zhe Cheng, Lun Zhang, Yu Zhang   +4 more
semanticscholar   +1 more source

Complex Flexible Analytic Wavelet Transform for UAV State Identification Using RF Signal

IEEE Transactions on Aerospace and Electronic Systems
The time-frequency analysis is a highly suited technique for nonstationary signal analysis which studies a signal in both time and frequency domains simultaneously.
V. K. Kashyap, R. Sharma, R. B. Pachori
semanticscholar   +1 more source