Study on temperature fluctuation measurement in alkali vapor cell

Author(s):  
Huining Shang ◽  
Kaifeng Yin ◽  
Tao Shi ◽  
Yan Yin ◽  
Jing Wang ◽  
...  
2019 ◽  
Vol 149 ◽  
pp. 111336 ◽  
Author(s):  
Hailin Zhao ◽  
Tianfu Zhou ◽  
Yong Liu ◽  
Ang Ti ◽  
Bili Ling ◽  
...  

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

2012 ◽  
Vol 132 (7) ◽  
pp. 499-504
Author(s):  
Masateru Sonehara ◽  
Yoshihiko Nagashima ◽  
Yuichi Takase ◽  
Akira Ejiri ◽  
Takashi Yamaguchi ◽  
...  

Sensors ◽  
2021 ◽  
Vol 21 (10) ◽  
pp. 3419
Author(s):  
Shan Zhang ◽  
Zihan Yan ◽  
Shardul Sapkota ◽  
Shengdong Zhao ◽  
Wei Tsang Ooi

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.


2010 ◽  
Vol 148-149 ◽  
pp. 163-167
Author(s):  
Xiao Li Jin ◽  
Zuo Sheng Lei ◽  
Kang Deng ◽  
Zhong Ming Ren

The heat transfer in steel continuous casting process under mold oscillation was calculated, and temperature fluctuation phenomena was found in the initial solidification area, the maximum value was approximate 16 °C. The effect of different continuous casting parameters on temperature fluctuation were analyzed, and the temperature fluctuation was considered to be a key factor to the formation of oscillation marks. The Index of Temperature Fluctuation(ITF) was proposed to predict the effect of temperature fluctuation on the formation of billet surface defects.


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