Ultrasonic thermometer for integral temperature of gases

1992 ◽  
Vol 35 (9) ◽  
pp. 1061-1064
Author(s):  
P. -B. P. Milyus ◽  
O. A. Tumshis
Keyword(s):  
Ultrasonic Thermometer ◽  
Integral Temperature

scholarly journals Design and development of polymerase chain reaction thermal cycler using proportional-integral temperature controller

2018 ◽  
Vol 14 (2) ◽  
pp. 213-218
Author(s):  
Chong Kim Soon ◽  
Nawoor Anusha Devi ◽  
Kok Beng Gan ◽  
Sue-Mian Then
Keyword(s):  
Polymerase Chain Reaction ◽  
Low Cost ◽  
Maximum Temperature ◽  
Gradient System ◽  
Chain Reaction ◽  
Temperature Controller ◽  
Proportional Integral ◽  
Integral Temperature ◽  
Polymerase Chain ◽  
Thermal Cycler

A thermal cycler is used to amplify segments of DNA using the polymerase chain reaction (PCR). It is an instrument that requires precise temperature control and rapid temperature changes for certain experimental protocols. However, the commercial thermal cyclers are still bulky, expensive and limited for laboratory use only.  As such it is difficult for on-site molecular screening and diagnostics. In this work, a portable and low cost thermal cycler was designed and developed. The thermal cycler block was designed to fit six microcentrifuge tubes. A Proportional-Integral temperature controller was used to control the thermal cycler block temperature. The results showed that the maximum temperature ramp rate of the developed thermal cycler was 5.5 °C/s. The proportional gain (Kp) and integral gain (Ki) of the PI controller were 15 A/V and 1.8 A/Vs respectively. Finally, the developed thermal cycler successfully amplified six DNA samples at the expected molecular weight of 150 base pair. It has been validated using the Eppendorf Mastercycler nexus gradient system and gel electrophoresis analysis

Pulsed ultrasonic thermometer errors

1992 ◽  
Vol 35 (6) ◽  
pp. 698-700
Author(s):  
Ya. T. Lutsik ◽  
M. M. Dorozhovets ◽  
I. S. Likhnovskii
Keyword(s):  
Ultrasonic Thermometer ◽  
Pulsed Ultrasonic

scholarly journals Multy-year oscillations investigation of winter temperatures Prediction of integrated temperature difference during the heating period

2020 ◽  
Vol 209 ◽  
pp. 06011
Author(s):  
Ivan Khazheev
Keyword(s):  
Temperature Difference ◽  
Statistical Relationship ◽  
Conditional Probabilities ◽  
Heating Season ◽  
Heating Period ◽  
Integral Temperature ◽  
Winter Temperatures ◽  
Before And After ◽  
Expected Values ◽  
Meteorological Observations

To estimate possible deviations in fuel consumption for heating based on meteorological observations of previous years, the integrated temperature difference inside and outside the building during the heating season is used. When the heating period is divided into two subperiods relative to the considered date (for example, before and after December 1), the accumulated and residual integral temperature differences are obtained. The assumption about the presence of a statistical relationship between the accumulated and residual integral temperature difference is confirmed. A model for predicting the probability of the expected values of the integral temperature difference for the upcoming heating period is developed. The model is focused on obtaining matrices of conditional probabilities of observations from intervals of dividing the accumulated integral temperature differences into intervals of residual integral temperature differences.

scholarly journals TWO METHODS FOR REMOTE ESTIMATION OF COMPLETE URBAN SURFACE TEMPERATURE

2017 ◽  
Vol XLII-2/W7 ◽  
pp. 479-487
Author(s):  
L. Jiang ◽  
W. Zhan ◽  
Z. Zou
Keyword(s):  
Remote Sensing ◽  
Surface Temperature ◽  
3D Structure ◽  
Radiation Temperature ◽  
Urban Surface ◽  
Absolute Difference ◽  
Single Observation ◽  
Integral Temperature ◽  
Main Plane ◽  
Kernel Model

Complete urban surface temperature (<i>T</i><sub>C</sub>) is a key parameter for evaluating the energy exchange between the urban surface and atmosphere. At the present stage, the estimation of <i>T</i><sub>C</sub> still needs detailed 3D structure information of the urban surface, however, it is often difficult to obtain the geometric structure and composition of the corresponding temperature of urban surface, so that there is still lack of concise and efficient method for estimating the <i>T</i><sub>C</sub> by remote sensing. Based on the four typical urban surface scale models, combined with the Envi-met model, thermal radiant directionality forward modeling and kernel model, we analyzed a complete day and night cycle hourly component temperature and radiation temperature in each direction of two seasons of summer and winter, and calculated hemispherical integral temperature and <i>T</i><sub>C</sub>. The conclusion is obtained by examining the relationship of directional radiation temperature, hemispherical integral temperature and <i>T</i><sub>C</sub>: (1) There is an optimal angle of radiation temperature approaching the <i>T</i><sub>C</sub> in a single observation direction when viewing zenith angle is 45&amp;ndash;60°, the viewing azimuth near the vertical surface of the sun main plane, the average absolute difference is about 1.1&amp;thinsp;K in the daytime. (2) There are several (3&amp;ndash;5 times) directional temperatures of different view angle, under the situation of using the thermal radiation directionality kernel model can more accurately calculate the hemispherical integral temperature close to <i>T</i><sub>C</sub>, the mean absolute error is about 1.0&amp;thinsp;K in the daytime. This study proposed simple and effective strategies for estimating <i>T</i><sub>C</sub> by remote sensing, which are expected to improve the quantitative level of remote sensing of urban thermal environment.

High-resolution ultrasonic thermometer for radiation dosimetry

2008 ◽  
Vol 124 (6) ◽  
pp. 3481-3490 ◽  
Author(s):  
Eugene V. Malyarenko ◽  
Joseph S. Heyman ◽  
H. Heather Chen-Mayer ◽  
Ronald E. Tosh
Keyword(s):  
High Resolution ◽  
Radiation Dosimetry ◽  
Ultrasonic Thermometer

scholarly journals Long integral temperature Brillouin sensor for off- shore wind energy power supply lines

2011 ◽  
Author(s):  
M. A. Quintela ◽  
A. Ullán ◽  
A. Quintela ◽  
C. Galindez ◽  
R. A. Perez-Herrera ◽  
...  
Keyword(s):  
Wind Energy ◽  
Power Supply ◽  
Integral Temperature
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