• Title/Summary/Keyword: non-contact thermometer

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Study on the Effect of Emissivity for Estimation of the Surface Temperature from Drone-based Thermal Images (드론 열화상 화소값의 타겟 온도변환을 위한 방사율 영향 분석)

  • Jo, Hyeon Jeong;Lee, Jae Wang;Jung, Na Young;Oh, Jae Hong
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.40 no.1
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    • pp.41-49
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    • 2022
  • Recently interests on the application of thermal cameras have increased with the advance of image analysis technology. Aside from a simple image acquisition, applications such as digital twin and thermal image management systems have gained popularity. To this end, we studied the effect of emissivity on the DN (Digital Number) value in the process of derivation of a relational expression for converting DN to an actual surface temperature. The DN value is a number representing the spectral band value of the thermal image, and is an important element constituting the thermal image data. However, the DN value is not a temperature value indicating the actual surface temperature, but a brightness value indicating high and low heat as brightness, and has a non-linear relationship with the actual surface temperature. The reliable relationship between DN and the actual surface temperature is critical for a thermal image processing. We tested the relationship between the actual surface temperature and the DN value of the thermal image, and then the radiation adjustment was performed to better estimate actual surface temperatures. As a result, the relation graph between the actual surface temperature and the DN value similarly show linear pattern with the relation graph between the radiation-controlled non-contact thermometer and the DN value. And the non-contact temperature after adjusting the emissivity was closer to the actual surface temperature than before adjusting the emissivity.

Experimental Study of the Oven Dried Soil Weight Measurement Using Singularity Analysis (특이점 분석에 의한 노건조된 흙의 건조무게 측정에 관한 실험적 연구)

  • Sukjoo Kim
    • Journal of the Korean GEO-environmental Society
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    • v.24 no.3
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    • pp.5-14
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    • 2023
  • The dry unit weight of the soil can be obtained by measuring the weight of the oven dried soil. According to the Korean Industrial Standards (KS F), oven dried soil at 110±5℃ continuously increases in weight when exposed to air. However, there is no regulation on the weight measurement time of oven dried soil, making it difficult to accurately measure the dry weight. In this study, a method to easily determine the dry weight was presented through the analysis of the weight singularity that appears during weight measurement. The weight singularity represents the smallest value among the measured weights, and is the weight at which the effect of moisture absorption in the air of the sample is minimized. In the course of the experiment, a container was selected using a statistical analysis method, and a photograph of the soil samples were presented using an optical microscope. In addition, the temperature of the weight singularity was measured using a non-contact infrared thermometer. As a result of analyzing the weight singularity of six types of soil, including Jumunjin sand, Naeseong stream sand, Yecheon weathered granite soil, Jeju sand, Sabkha sand, and Ulleung sand, the weight singularity of oven dried sample appeared between 8 and 27 seconds after weight measurement, and the temperature ranged from 103.4 to 108.13℃. The weight decrease rate of the singularity was 0.0066 to 0.0085% depending on the soil samples.

Possibility and Accuracy of Extracting Room Temperature Information from Mid-Infrared Sensor Satellite Images (중적외선 센서 위성 영상의 상온 온도 정보 추출 가능성 및 정확도)

  • Choi, SeokWeon;Seo, DooChun;Lee, DongHan
    • Journal of Space Technology and Applications
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    • v.1 no.3
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    • pp.356-363
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    • 2021
  • It was common knowledge in textbooks that images acquired using mid-infrared ray were not suitable for measuring temperature near room temperature. But a recent satellite image using a mid-infrared sensor show the possibility that the result measured using the mid-infrared sensor can also measure the temperature near room temperature. In this paper, the possibility and accuracy of extraction room temperature information from satellite images with mid-infrared sensors are reviewed. The mid-infrared satellite image reviewed in this paper showed the temperature of room temperature well, and regarding the reliability as an absolute value of the measured temperature, the effect of the heat transfer amount due to the direct reflection of sunlight on the surface and the effect of the infrared absorption amount absorbed in the atmosphere can be seen as a relatively small or constant value. However, the problem of uncertainty in the radiation coefficient due to physical properties, which is the limit of the non-contact thermometer, remained a problem to be solved.

Analysis of Eye Fatigue and Change of Eye Temperature according to Smartphone Usage Time (스마트폰 사용 시간에 따른 안구온도 변화와 눈의 피로도 분석)

  • Sun-Hee, Han;Bong-Hwan, Kim;Hyeong-Su, Kim;Jae-Wan, Jeong;Ji-Ae, Park;Chi-Hwan, Kim
    • Journal of Korean Clinical Health Science
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    • v.10 no.2
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    • pp.1594-1599
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    • 2022
  • Purpose. To investigate the relationship between changes in eye temperature and eye fatigue according to smartphone usage time. Methods. 15 adults in their 20s were asked to watch a smartphone, and the ocular surface temperature was measured 5 times each using a non-contact infrared thermometer every 10 minutes, and the change was observed. Result. The ocular surface temperature was 36.40℃ at the center of the cornea before watching the smartphone, but increased by 0.19℃ to 36.59℃ after watching the smartphone (SD 36.50±0.10). In addition, in the case of the sclera, it was found that the increase was 0.1℃ from 36.48℃ before viewing to 36.58℃ after viewing (SD 36.53±0.05). Conclusion. It was found that there is a close relationship between smartphone use and changes in eye temperature. In the future, it is thought that the ocular surface temperature can be used as basic data to objectively evaluate eye fatigue.

An Automatic Access Registration System using Beacon and Deep Learning Technology (비콘과 딥러닝 기술을 활용한 전자출입명부 자동등록시스템)

  • Huh, Ji-Won;Ohm, Seong-Yong
    • The Journal of the Convergence on Culture Technology
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    • v.6 no.4
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    • pp.807-812
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    • 2020
  • In order to prevent the national wide spread of the COVID-19 virus, the government enforces to use an electronic access registration system for public facilities to effectively track and manage the spread. Initially, there was a lot of hassle to write a directory, but recently a system for creating an electronic access list using QR codes, what is called KI-Pass, is mainly used. However, the procedure for generating a QR code is somewhat cumbersome. In this paper, we propose a new electronic access registration system that does not require QR code. This system effectively controls the suspicious visitor by using a mask wearing discriminator which has been implemented using deep learning technology, and a non-contact thermometer package. In addition, by linking the beacon, a short-range wireless communication technology, and the visitor's smartphone application, basic information of the facility visitor is automatically registered to KDCA through the server. On the other hand, the user access information registered in the server is encrypted and stored, and is automatically destroyed after up to 4 weeks. This system is expected to be very effective in preventing the spread of other new infectious diseases as well as responding to the coronavirus which is recording a high spread worldwide.