• 한국축산시설환경학회지
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• 제15권2호
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• pp.131-138
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• 2009

본 연구는 돼지의 체온 발산에 따른 행동에 근거하여 환경을 제어할 때 몸체에서 발산되는 체열과 환경의 온도차이를 이용하여 환경을 제어할 수 있는 방법을 모색하고자 하였으며, 열환경에서 얻어진 자료를 바탕으로 축사의 환경제어 시스템에 접목하고자 실시하였다. 연구의 결과를 요약하면 다음과 같다. 1. 환경온도에 따른 돼지의 행동을 칼라영상을 통하여 획득한 후 가시화 시스템 (열화상 프로그램)을 통한 행동상태를 고온, 적온, 저온기로 분류하였다. 2. 영상처리 시스템의 하드웨어를 적외선 CCD 카메라, 영상처리 보드DIF(TH3100) 모델과 컴퓨터는 400Hz, 128M, 586 Pentium로 구성되었으며, 프로그램은 C++ 언어로 작성되었다. 3. 영상처리시스템을 온도에 따라 분류했던 결과 저온, 적온, 고온으로 분류되어 돈사내 환경제어 시스템에 응용이 가능할 것으로 판단되었다. 4. 사료섭취량은 저온구가 다른 환경온도에 비하여 사료를 많이 섭취하였던 반면에 종료체중과 일당증체량에서는 낮게 나타났다 (p<0.05).

• Journal of the Korean Wood Science and Technology
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• 제40권5호
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• pp.319-326
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• 2012

Han-green building is one of the modernized Korean traditional buildings developed by Korea Forest Research Institute. This building was developed to increase the competitiveness of Korean traditional building using state-of-art technologies; hence Han-green building has the inherent characteristics of traditional building such as exposed wood frame in wall. Because of discontinuity in wall by the exposed wood frame, there is a concern on heat-air leaking in terms of energy performance. In this study, air-tightness of Han-green building was evaluated to investigate the influence of gaps between frames and in-fill walls. Blower door test was carried out to evaluate the air-tightness, and air-change rate (ACH50) was evaluated by averaging four set of pressurization and depressurization test. The air-change rate of Han-green house was 5.91 $h^{-1}$. To improve energy performance of Han-green house, thermal infrared images of Han-green house were taken in winter with heating to find out where the heat loss occurred. It was found that the building lost more heat through gaps between frames and in-fill walls rather than through other parts of this building. After covering all the gaps by taping, the blower door test was performed again, and the air-change rate was improved to 5.25 $h^{-1}$. From this analysis, it was concluded that the heated air can leak through the gaps between frames and walls. Therefore, when one designs the post and beam building with exposed frame, the detail design between frame and wall needs to be carefully dealt. However, Han-green building showed relatively high air-tightness comparing with other country research results.

• Carbon letters
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• 제22권
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• pp.81-88
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• 2017

In the present study, biomass-based lignin was extracted from industrial waste black liquor and the extracted lignin was characterized by means of attenuated total reflectance-Fourier transform infrared spectroscopy and $^1H-nuclear$ magnetic resonance spectroscopy. The extracted lignin was carbonized at different temperatures and then activated with steam at $850^{\circ}C$. The extracted lignin in powder state was transformed into a bulky carbonized lignin due to possible fusion between the lignin particles occurring upon carbonization. The carbonized and then pulverized lignin exhibits brittle surfaces, the increased thermal stability, and the carbon assay with increasing the carbonization temperature. The scanning electron microscopic images and the Brunauer-Emmett-Teller result indicate that the steam-activated carbon has the specific surface area of $1718m^2/g$, which is markedly greater than the carbonized lignin. This study reveals that biomass-based activated carbon with highly porous structure can be produced from costless black liquor via steam-activation process.

• Asian Pacific Journal of Cancer Prevention
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• 제16권18호
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• pp.8619-8623
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• 2016

Background: Breast cancer is a common disorder in women, constituting one of the main causes of death all over the world. The purpose of this study was to determine the diagnostic value of the breast tissue diseases by the help of thermography. Materials and Methods: In this paper, we applied non-contact infrared camera, INFREC R500 for evaluating the capabilities of thermography. The study was conducted on 60 patients suspected of breast disease, who were referred to Imam Khomeini Imaging Center. Information obtained from the questionnaires and clinical examinations along with the obtained diagnostic results from ultrasound images, biopsies and thermography, were analyzed. The results indicated that the use of thermography as well as the asymmetry technique is useful in identifying hypoechoic as well as cystic masses. It should be noted that the patient should not suffer from breast discharge. Results: The accuracy of asymmetry technique identification is respectively 91/89% and 92/30%. Also the accuracy of the exact location of identification is on the 61/53% and 75%. The approach also proved effective in identifying heterogeneous lesions, fibroadenomas, and intraductal masses, but not ISO-echoes and calcified masses. Conclusions: According to the results of the investigation, thermography may be useful in the initial screening and supplementation of diagnostic procedures due to its safety (its non-radiation properties), low cost and the good recognition of breast tissue disease.

• Composites Research
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• 제25권6호
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• pp.236-240
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• 2012

치과용 복합레진 수복재가 치아로부터 박리된 상태를 모사한 시편을 제작하고 위상잠금 적외선 열화상 기법을 이용하여 박리의 검출 가능성을 조사하였다. 내부 박리의 깊이와 가열 조건에 따른 검출 신호의 Amplitude와 Phase 이미지를 분석하였다. 내부 박리의 위치가 표면으로부터 0.5 mm 인 시편은 lock-in frequency = 0.05 Hz에서 건전부와 박리부의 Amplitude 차이가 가장 컸으며 1 mm와 1.5 mm 시편은 0.025 Hz와 0.01 Hz에서 Amplitude 차이로 박리부 검출이 가능하였다. Phase 변환 결과로부터 0.5 mm 시편은 0.006 Hz와 0.5 Hz 에서 뚜렷한 박리부의 이미지를 얻을 수 있었으며, 1 mm와 1.5 mm 시편은 0.006-0.1 Hz에서 박리부의 검출이 가능하였다.

• 대한공간정보학회지
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• 제13권4호
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• pp.59-65
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• 2005

효율적인 국토관리를 위해서 과거로부터의 토지피복/토지이용 변화를 탐지하고 미래의 도시계획에 반영하는 것은 매우 중요하다고 할 수 있다. 본 연구에서는 시계열 Landsat 영상을 이용하여 토지피복/토지이용 분류를 수행함으로써 도시변화를 분석하고 도시화에 따른 지표온도의 변화를 조사하였다. 해상도 30m의 Landsat 영상에서 도시변화 후보지역을 추출하고 자세한 변화 상황을 고찰하기 위해 고해상도 항공사진을 함께 사용하는 계층적 변화탐지기법을 사용하였다. 또한, 도시의 발달과 지표온도의 상관성을 평가하기 위하여 Landsat 영상의 열적외선 파장영역을 이용하여 온도를 계산하여 실제기온과 비교하고 토지피복별 지표온도를 계산하였다. 연구 결과 도심지의 팽창을 수치적으로 확인 할 수 있었고 도시화로 인한 온도 상승을 탐지할 수 있었다.

• Restorative Dentistry and Endodontics
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• 제43권2호
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• pp.26.1-26.12
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• 2018

Objective: The purpose of this study was to investigate the degree of conversion (DC) and mechanical properties of a microhybrid Filtek Z250 (3M ESPE) resin composite after aging. Method: The specimens were fabricated using circular molds to investigate Vickers microhardness (Vickers hardness number [VHN]) and DC, and were prepared according to ISO 4049 for flexural strength testing. The initial DC (%) of discs was recorded using attenuated total reflectance-Fourier transforming infrared spectroscopy. The initial VHN of the specimens was measured using a microhardness tester under a load of 300 g for 15 seconds and the flexural strength test was carried out with a universal testing machine (crosshead speed, 0.5 mm/min). The specimens were then subjected to thermocycling in $5^{\circ}C$ and $55^{\circ}C$ water baths. Properties were assessed after 1,000-10,000 cycles of thermocycling. The surfaces were evaluated using scanning electron microscopy (SEM). Data were analyzed using 1-way analysis of variance followed by the Tukey honest significant difference post hoc test. Results: Statistical analysis showed that DC tended to increase up to 4,000 cycles, with no significant changes. VHN and flexural strength values significantly decreased upon thermal cycling when compared to baseline (p < 0.05). However, there was no significant difference between initial and post-thermocycling VHN results at 1,000 cycles. SEM images after aging showed deteriorative changes in the resin composite surfaces. Conclusions: The Z250 microhybrid resin composite showed reduced surface microhardness and flexural strength and increased DC after thermocycling.

• 한국지형학회지
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• 제28권1호
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• pp.83-99
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• 2021

Burn severity analysis using satellite imagery has high capabilities for research and management in inaccessible areas. We extracted the forest fire area of the DMZ (Demilitarized Zone) in the western Imjin Estuary which is restricted to access due to the confrontation between South and North Korea. Then we analyzed the forest fire severity and recoverability using atmospheric corrected Surface Reflectance Level-2 data collected from Landsat-8 OLI (Operational Land Imagery) / TIRS (Thermal Infrared Sensor). Normalized Burn Ratio (NBR), differenced NBR (dNBR), and Relative dNBR (RdNBR) were analyzed based on changes in the spectral pattern of satellite images to estimate burn severity area and intensity. Also, we evaluated the recoverability after a forest fire using a land cover map which is constructed from the NBR, dNBR, and RdNBR analyzed results. The results of dNBR and RdNBR analysis for the six years (during May 30, 2014 - May 30, 2020) showed that the intensity of monthly burn severity was affected by seasonal changes after the outbreak and the intensity of annual burn severity gradually decreased after the fire events. The regrowth of vegetation was detected in most of the affected areas for three years (until May 2020) after the forest fire reoccurred in May 2017. The monthly recoverability (from April 2014 to December 2015) of forests and grass fields was increased and decreased per month depending on the vegetation growth rate of each season. In the case of annual recoverability, the growth of forest and grass field was reset caused by the recurrence of a forest fire in 2017, then gradually recovered with grass fields from 2017 to 2020. We confirmed that remote sensing was effectively applied to research of the burn severity and recoverability in the DMZ. This study would also provide implications for the management and construction statistics database of the forest fire in the DMZ.

• Smart Structures and Systems
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• 제33권1호
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• pp.55-64
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• 2024

This paper proposes a fusion imaging-based coating-defect classification method for steel structures that uses zero-shot learning. In the proposed method, a halogen lamp generates heat energy on the coating surface of a steel structure, and the resulting heat responses are measured by an infrared (IR) camera, while photos of the coating surface are captured by a charge-coupled device (CCD) camera. The measured heat responses and visual images are then analyzed using zero-shot learning to classify the coating defects, and the estimated coating defects are visualized throughout the inspection surface of the steel structure. In contrast to older approaches to coating-defect classification that relied on visual inspection and were limited to surface defects, and older artificial neural network (ANN)-based methods that required large amounts of data for training and validation, the proposed method accurately classifies both internal and external defects and can classify coating defects for unobserved classes that are not included in the training. Additionally, the proposed model easily learns about additional classifying conditions, making it simple to add classes for problems of interest and field application. Based on the results of validation via field testing, the defect-type classification performance is improved 22.7% of accuracy by fusing visual and thermal imaging compared to using only a visual dataset. Furthermore, the classification accuracy of the proposed method on a test dataset with only trained classes is validated to be 100%. With word-embedding vectors for the labels of untrained classes, the classification accuracy of the proposed method is 86.4%.

• 보존과학회지
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• 제29권1호
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• pp.55-67
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• 2013

이 연구에서는 석조문화유산의 박리를 비파괴적으로 검출하기 위해 방위와 시간에 따른 수동적 적외선 열화상기법의 분석조건과 적용방법을 설정하였다. 이 결과, 수동적 열화상은 대기온도, 일사량 및 일조방향에 민감하게 반응하여 각 시간대별로 서로 다른 온도분포 특성을 나타냈다. 특히 6~17시 사이에 주기적으로 변하는 일사량과 일조방향은 암석의 표면온도를 불균질하게 만들었고, 박리가 존재하는 경우 외부환경에 따라 열 이동 차이가 생겨 특정시간대를 제외하고 건전부와 박리부의 표면온도 차이가 발생하였다. 시간에 따른 수동적 열화상분석의 박리검출 특성을 살펴본 결과, 전반적으로 북측면을 제외한 모든 방위에서 대기온도와 일사량이 급격히 증가하는 9시와 10시에 박리검출이 용이하였다. 그러나 이 연구는 가을에 수행되어 사계절에 대한 영향을 모두 고려하지 못했고, 수동적 열화상분석을 통해 박리부의 정량적인 발생면적을 파악하기에는 어려움이 있었다. 따라서 추가적으로 사계절에 대한 수동적 열화상분석의 종합고찰과 능동적 열화상분석을 이용한 박리 정량화 모델링 연구가 필요할 것으로 판단된다.