Low-level measuring techniques for neutrons: High accuracy neutron source strength determination and fluence rate measurement at an underground laboratory

2013 ◽  
Author(s):  
Andreas Zimbal ◽  
Detlev Degering ◽  
Marcel Reginatto ◽  
Helmut Schuhmacher ◽  
Burkhard Wiegel ◽  
...  
Keyword(s):  
Neutron Source ◽  
High Accuracy ◽  
Underground Laboratory ◽  
Fluence Rate ◽  
Source Strength ◽  
Rate Measurement ◽  
Low Level ◽  
Measuring Techniques ◽  
Strength Determination

Neutron Source-Strength Determination by Student Laboratories

1970 ◽  
Vol 8 (6) ◽  
pp. 531-535
Author(s):  
B. W. McGhee ◽  
W. W. Graham ◽  
M. R. Haroon
Keyword(s):  
Neutron Source ◽  
Source Strength ◽  
Strength Determination

Neutron source strength determination for on-line reactivity measurements

1988 ◽  
Vol 15 (12) ◽  
pp. 553-559 ◽  
Author(s):  
J.E. Hoogenboom ◽  
A.R. van der Sluijs
Keyword(s):  
Neutron Source ◽  
Source Strength ◽  
Strength Determination ◽  
On Line

Evaluation and validation of external neutron source strength of operating Fast Breeder Test Reactor

2021 ◽  
Vol 372 ◽  
pp. 110992
Author(s):  
Neethu Hanna Stephen ◽  
C.P. Reddy ◽  
G. Raghukumar ◽  
K. Dinesh ◽  
K.V. Suresh Kumar
Keyword(s):  
Neutron Source ◽  
Source Strength ◽  
Fast Breeder Test Reactor ◽  
Test Reactor

Electrostatic Sensor for Real–Time Mass Flow Rate Measurement of Particle Conveying in Pneumatic Pipeline

2012 ◽  
Author(s):  
Mohd. Fua’ad Rahmat ◽  
Wee Lee Yaw
Keyword(s):  
Real Time ◽  
Mass Flow Rate ◽  
Mass Flow ◽  
Flow Rate ◽  
Cross Correlation ◽  
High Accuracy ◽  
Industrial Processes ◽  
Rate Measurement ◽  
Flow Rate Measurement ◽  
Controlled Flow

This paper discussed the electrostatic sensors that have been constructed for real–time mass flow rate measurement of particle conveying in a Pneumatic pipeline. Many industrial processes require continuous, smooth, and consistent delivery of solids materials with a high accuracy of controlled flow rate. This requirement can only be achieved by installing a proper measurement system. Electrostatic sensor offers the most inexpensive and simplest means of measuring solids flows in pipes. Key words: Electrostatic sensor, cross-correlation, peripheral velocity

Improvements of a low-level gamma-ray spectrometry system at the underground laboratory “UDO”

2009 ◽  
Vol 67 (5) ◽  
pp. 726-730 ◽  
Author(s):  
S. Neumaier ◽  
M. Wojcik ◽  
H. Dombrowski ◽  
D. Arnold
Keyword(s):  
Gamma Ray ◽  
Underground Laboratory ◽  
Gamma Ray Spectrometry ◽  
Low Level

scholarly journals Prediction of physiological exertion in hot environments using the JOS-2 thermoregulation model

2019 ◽  
Vol 111 ◽  
pp. 02058
Author(s):  
Akihisa Nomoto ◽  
Yoshito Takahashi ◽  
Yoshiichi Ozeki ◽  
Masayuki Ogata ◽  
Shin-ichi Tanabe
Keyword(s):  
Metabolic Rate ◽  
Human Body ◽  
Heat Stroke ◽  
High Accuracy ◽  
Outdoor Environment ◽  
Heat Island ◽  
Rate Measurement ◽  
Mean Skin Temperature ◽  
Local Skin ◽  
Hot Environments

In recent years, the outdoor summer environment in Japan has become progressively warmer due to the severity of the heat island phenomenon. The danger of heat stroke and thermal comfort outdoors in summer are regarded as problems. In order to evaluate these problems, it is important to evaluate physiological exertion in the human body. The purpose of this research is to demonstrate the possibility of predicting physiological exertion in the human body with high accuracy in an outdoor environment during summer using the JOS-2 thermoregulation model developed by our research group. First, the Japanese metabolic rate in summer and autumn was measured for various activities, including sitting, standing, and walking. As a result, we found that the metabolic rate during sitting and standing was lower by about 10% in summer than in autumn. Next, using the obtained metabolic rate measurement as an input to the model, the experiment in an outdoor environment during summer was reproduced using JOS-2. The accuracy of the predicted mean skin temperature and local skin wettedness in an outdoor environment during summer was improved by choosing the appropriate input to the model.

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