Convection visualization and temperature fluctuation measurement in a molten silicon column

2007 ◽  
pp. 343-349 ◽  
Author(s):  
S. Nakamura ◽  
K. Kakimoto ◽  
T. Hibiya
Keyword(s):  
Temperature Fluctuation ◽  
Molten Silicon ◽  
Fluctuation Measurement

Study on temperature fluctuation measurement in alkali vapor cell

2020 ◽  
Author(s):  
Huining Shang ◽  
Kaifeng Yin ◽  
Tao Shi ◽  
Yan Yin ◽  
Jing Wang ◽  
...  
Keyword(s):  
Temperature Fluctuation ◽  
Vapor Cell ◽  
Fluctuation Measurement

A multi-channel correlation ECE system for electron temperature fluctuation measurement on EAST tokamak

2019 ◽  
Vol 149 ◽  
pp. 111336 ◽  
Author(s):  
Hailin Zhao ◽  
Tianfu Zhou ◽  
Yong Liu ◽  
Ang Ti ◽  
Bili Ling ◽  
...  
Keyword(s):  
Electron Temperature ◽  
Temperature Fluctuation ◽  
Channel Correlation ◽  
Fluctuation Measurement

Electron temperature fluctuation measurement from ECE on TEXT‐U

1992 ◽  
Vol 63 (10) ◽  
pp. 4633-4635 ◽  
Author(s):  
M. Kwon ◽  
R. F. Gandy ◽  
C. E. Thomas ◽  
W. K. Lim
Keyword(s):  
Electron Temperature ◽  
Temperature Fluctuation ◽  
Fluctuation Measurement

A TEM investigation of silicon nitride whiskers

1987 ◽  
Vol 45 ◽  
pp. 160-161
Author(s):  
Tapan Roy
Keyword(s):  
Silicon Nitride ◽  
High Resolution ◽  
Ceramic Matrix Composites ◽  
High Resolution Electron Microscopy ◽  
Molten Silicon ◽  
Matrix Composites ◽  
Ceramic Fibers ◽  
Resolution Electron ◽  
Point To Point ◽  
Technological University

Ceramic fibers are being used to improve the mechanical properties of metal matrix and ceramic matrix composites. This paper reports a study of the structural and other microstructural characteristics of silicon nitride whiskers using both conventional TEM and high resolution electron microscopy.The whiskers were grown by T. E. Scott of Michigan Technological University, by passing nitrogen over molten silicon in the presence of a catalyst. The whiskers were ultrasonically dispersed in chloroform and picked up on holey carbon grids. The diameter of some whiskers (<70nm) was small enough to allow direct observation without thinning. Conventional TEM was performed on a Philips EM400T while high resolution imaging was done on a JEOL 200CX microscope with a point to point resolution of 0.23nm.

Fluctuation Measurement Across the Broad Range of the Low-field Side Edge Plasmas in the TST-2 Spherical Tokamak

2012 ◽  
Vol 132 (7) ◽  
pp. 499-504
Author(s):  
Masateru Sonehara ◽  
Yoshihiko Nagashima ◽  
Yuichi Takase ◽  
Akira Ejiri ◽  
Takashi Yamaguchi ◽  
...  
Keyword(s):  
Spherical Tokamak ◽  
Side Edge ◽  
Low Field ◽  
Edge Plasmas ◽  
Fluctuation Measurement

scholarly journals Moment-to-Moment Continuous Attention Fluctuation Monitoring through Consumer-Grade EEG Device

Sensors ◽  
2021 ◽  
Vol 21 (10) ◽  
pp. 3419
Author(s):  
Shan Zhang ◽  
Zihan Yan ◽  
Shardul Sapkota ◽  
Shengdong Zhao ◽  
Wei Tsang Ooi
Keyword(s):  
Ground Truth ◽  
Detection Accuracy ◽  
Continuous Performance Task ◽  
Eeg Signals ◽  
Gradual Onset ◽  
Machine Learning Approach ◽  
A New Technique ◽  
Thought Probes ◽  
Labeling Method ◽  
Fluctuation Measurement

While numerous studies have explored using various sensing techniques to measure attention states, moment-to-moment attention fluctuation measurement is unavailable. To bridge this gap, we applied a novel paradigm in psychology, the gradual-onset continuous performance task (gradCPT), to collect the ground truth of attention states. GradCPT allows for the precise labeling of attention fluctuation on an 800 ms time scale. We then developed a new technique for measuring continuous attention fluctuation, based on a machine learning approach that uses the spectral properties of EEG signals as the main features. We demonstrated that, even using a consumer grade EEG device, the detection accuracy of moment-to-moment attention fluctuations was 73.49%. Next, we empirically validated our technique in a video learning scenario and found that our technique match with the classification obtained through thought probes, with an average F1 score of 0.77. Our results suggest the effectiveness of using gradCPT as a ground truth labeling method and the feasibility of using consumer-grade EEG devices for continuous attention fluctuation detection.

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