• 한국광학회:학술대회논문집
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• 한국광학회 2009년도 창립 20주년기념 특별학술발표회
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• pp.52-53
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• 2009

• 대한치과보철학회지
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• 제50권1호
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• pp.53-60
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• 2012

연구 목적: 본 연구는 치과영역에서 많이 사용되는 비귀금속 합금인 니켈-크롬 합금을 산소-아세틸렌 불꽃 납착법과 적외선 용접법을 이용해 용접하고 용접부 및 그 주변을 광학 현미경과 EPMA (Electron Probe Micro Analyzer, 전자미세현미분석기)를 통해 관찰하여 용접방법이 금속의 성상(性狀)에 미치는 영향을 조사하였다. 연구 재료 및 방법: 니켈-크롬 합금을 이용하여 3.0 mm 직경, 30 mm 길이의 시편을 제작하였다. 시편은 산소-아세틸렌 불꽃 납착법, 적외선 용접법의 두 개의 그룹으로 분류하였다(n=4). 시편을 low-speed disc로 자른 후 각각을 산소-아세틸렌 토치와 적외선 용접기를 이용해 용접하였다. 용접과 마무리 후에 시편을 광학현미경으로 용접부, 5 mm 떨어진 지점, 10 mm 떨어진 지점의 3개 부위에서 관찰하고EPMA를 이용하여 분석하였다. 결과: 광학 현미경 관찰 결과 용접부에서는 두 방법 모두 다수의 파절선이 관찰되었고, 10.0 mm 떨어진 거리에서는 두 방법 모두 시편의 표면에서 파절선이 발견되지 않았으나 5.0 mm 떨어진 거리에서는 적외선 용접법에서는 시편의 표면이 다소 거칠기는 했으나 파절선은 발견되지 않았고 산소-아세틸렌 불꽃 납착 표면에서는 다수의 파절선이 관찰되었다. EPMA분석에서 적외선 용접법에 의한 방법에서는 용접부위, 5.0 mm 떨어진 부위, 10.0 mm 떨어진 부위 모두에서 시편 금속의 구성성분 비율이 제조사의 구성성분 비율과 10.0%이내의 오차를 나타내었고, 산소-아세틸렌 불꽃 납착법에서는 5.0, 10.0 mm에서는 시편금속의 구성성분이 10.0%이내의 오차를 나타내었으나, 납착 부위에서는 Ni만이 검출되어 적외선 용접법과는 차이를 나타내었다. 이와 같은 분석결과를 살펴 볼 때 적외선 용접을 시행한 시편의 구성 성분이 모금속의 성분과 유사한 것 을알수있었다. 결론: 이상의 결과로 산소-아세틸렌 불꽃 납착법보다 적외선 용접법을 이용할 때, 금속의 결함 및 성분의 변화가 적어서 좀 더 우수한 금속 보철물의 제작이 가능할 것으로 사료된다.

• Journal of the Korean Wood Science and Technology
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• 제45권4호
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• pp.399-408
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• 2017

Research on the rapid and accurate prediction of physical properties of wood using near-infrared (NIR) spectroscopy has attracted recent attention. In this study, partial least squares analysis was performed between NIR spectra and air-dried specific gravity of five domestic conifer species including larch (Larix kaempferi), Korean pine (Pinus koraiensis), red pine (Pinus densiflora), cedar (Cryptomeria japonica), and cypress (Chamaecyparis obtusa). Fifty different lumbers per species were purchased from the five National Forestry Cooperative Federations of Korea. The air-dried specific gravity of 100 knot- and defect-free specimens of each species was determined by NIR spectroscopy in the range of 680-2500 nm. Spectral data preprocessing including standard normal variate, detrend and forward first derivative (gap size = 8, smoothing = 8) were applied to all the NIR spectra of the specimens. Partial least squares analysis including cross-validation (five groups) was performed with the air-dried specific gravity and NIR spectra. When the performance of the regression model was expressed as $R^2$ (coefficient of determination) and root mean square error of calibration (RMSEC), $R^2$ and RMSEC were 0.63 and 0.027 for larch, 0.68 and 0.033 for Korean pine, 0.62 and 0.033 for red pine, 0.76 and 0.022 for cedar, and 0.79 and 0.027 for cypress, respectively. For the calibration model, which contained all species in this study, the $R^2$ was 0.75 and the RMSEC was 0.37.

• 한국운동역학회지
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• 제25권2호
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• pp.231-240
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• 2015

Objective : This study is for providing data about men's functional sport underpants. It provides the fundamental data of biomechanics by measuring and analyzing the functionality of various underpants using infrared thermal image camera. Method : Then author drew a conclusion based on the final analysis of 965 questionnaire survey results about issues on men's functional sport underpants after discarding invalid questionnaires, as following. Change in body temperature while wearing functional underpants compared to general briefs or boxer pants showed lower temperature by approximately 1~2 degrees Celsius. In the case of general underpants, wearer sweats and feels hotter due to the friction of penis, scrotum and thigh. However functional sport functional underpants improved this issue with ergonomic 3D design by putting penis towards the lower part of the abdomen(below the navel) while putting the scrotum comfortably on the testicles, which enables to make room between the penis, scrotum and thigh of a wearer. Results : This was analyzed to lower the temperature of penis and scrotum. The survey results about the quality of functional underpants showed that 78% of the respondents felt comfortable while driving; 68.5% replied that frictional heat decreased while working out; 78.7% felt less sweat and humidity; 81.7% replied as highly wearable and comfortable; 77.1% replied functional sport underpants were the most comfortable in routine lives or in workout times. Putting all such results together, it is possible to conclude that functional sport is an excellent product. Conclusion : This can be evaluated as an excellent functional sport underpants, towards the penis abdomen (under the navel) in 3D human engineering design, by the scrotum to wearing to be easier to scrotum of pocket, the penis and scrotum and thighs were separated and analyzed with a function that will lower the body temperature of the penis and scrotum.

• 한국근적외분광분석학회:학술대회논문집
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• 한국근적외분광분석학회 2001년도 NIR-2001
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• pp.1245-1245
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• 2001

Food adulteration is a serious consumer fraud and a matter of concern to food processors and regulatory agencies. A range of analytical methods have been investigated to facilitate the detection of adulterated or mis-labelled foods & food ingredients but most of these require sophisticated equipment, highly-qualified staff and are time-consuming. Regulatory authorities and the food industry require a screening technique which will facilitate fast and relatively inexpensive monitoring of food products with a high level of accuracy. Near infrared spectroscopy has been investigated for its potential in a number of authenticity issues including meat speciation (McElhinney, Downey & Fearn (1999) JNIRS, 7(3), 145-154; Downey, McElhinney & Fearn (2000). Appl. Spectrosc. 54(6), 894-899). This report describes further analysis of these spectral sets using a hierarchical approach and binary decisions solved using logistic regression. The sample set comprised 230 homogenized meat samples i. e. chicken (55), turkey (54), pork (55), beef (32) and lamb (34) purchased locally as whole cuts of meat over a 10-12 week period. NIR reflectance spectra were recorded over the wavelength range 400-2498nm at 2nm intervals on a NIR Systems 6500 scanning monochromator. The problem was defined as a series of binary decisions i. e. is the meat red or white\ulcorner is the red meat beef or lamb\ulcorner, is the white meat pork or poultry\ulcorner etc. Each of these decisions was made using an individual binary logistic model based on scores derived from principal component or partial least squares (PLS1 and PLS2) analysis. The results obtained were equal to or better than previous reports using factorial discriminant analysis, K-nearest neighbours and PLS2 regression. This new approach using a combination of exploratory and logistic analyses also appears to have advantages of transparency and the use of inherent structure in the spectral data. Additionally, it allows for the use of different data transforms and multivariate regression techniques at each decision step.

• 한국근적외분광분석학회:학술대회논문집
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• 한국근적외분광분석학회 2001년도 NIR-2001
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• pp.1152-1152
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• 2001

Food adulteration is a serious consumer fraud and a matter of concern to food processors and regulatory agencies. A range of analytical methods have been investigated to facilitate the detection of adulterated or mis-labelled foods & food ingredients but most of these require sophisticated equipment, highly-qualified staff and are time-consuming. Regulatory authorities and the food industry require a screening technique which will facilitate fast and relatively inexpensive monitoring of food products with a high level of accuracy. Near infrared spectroscopy has been investigated for its potential in a number of authenticity issues including meat speciation (McElhinney, Downey & Fearn (1999) JNIRS, 7(3), 145 154; Downey, McElhinney & Fearn (2000). Appl. Spectrosc. 54(6), 894-899). This report describes further analysis of these spectral sets using a hierarchical approach and binary decisions solved using logistic regression. The sample set comprised 230 homogenized meat samples i. e. chicken (55), turkey (54), pork (55), beef (32) and lamb (34) purchased locally as whole cuts of meat over a 10-12 week period. NIR reflectance spectra were recorded over the wavelength range 400-2498nm at 2nm intervals on a NIR Systems 6500 scanning monochromator. The problem was defined as a series of binary decisions i. e. is the meat red or white\ulcorner is the red meat beef or lamb\ulcorner, is the white meat pork or poultry\ulcorner etc. Each of these decisions was made using an individual binary logistic model based on scores derived from principal component or partial least squares (PLS1 and PLS2) analysis. The results obtained were equal to or better than previous reports using factorial discriminant analysis, K-nearest neighbours and PLS2 regression. This new approach using a combination of exploratory and logistic analyses also appears to have advantages of transparency and the use of inherent structure in the spectral data. Additionally, it allows for the use of different data transforms and multivariate regression techniques at each decision step.

• 한국근적외분광분석학회:학술대회논문집
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• 한국근적외분광분석학회 2001년도 NIR-2001
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• pp.1629-1629
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• 2001

The knowledge of the nutrition in animal production is difficult to assess due of difficulty to determine the amount and quality of feeds intake, mainly if forages are the most important compound in the diet. It must be able to know responses to the metabolic process in lactating dairy cows earring out feeds evaluation trials. These metabolism studies with cows, requires measurements of: I) The amount of all feeds consumed. II) Excretion of faeces. III) Excretion of urine. Taking as a basis these trials, forage and total intake, dietary digestibility and balances of nitrogen and energy can be calculated. However, these feeds evaluation experiments with animals are very time consuming and expensives. The faeces excreted by animals containt undigested residues of the diet consumed. For this reason, their analysis can be an successful tool to determine the amount and quality of feed intake and other important biological parameters. The aim of this work was to know if faeces analysis by NIR could be used to determine with enough accuracy some attributes of different lactating dairy cows diets, using a global equation, developed on an heterogeneus population. For this purpose a total of 79 faecal samples from eight grass, three grass silages and two maize silages metabolic trials, on six cows each one, were used to constitute the initial population. The calibration equations were developed to predict forage and total intake, organic matter digestibility, digestibility coefficient of crude energy and digestibility energy. The combination of several trials with different diets and animal conditions gave promising results.

• Journal of Astronomy and Space Sciences
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• 제29권3호
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• pp.305-313
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• 2012

We conducted thermal analyses and cooling tests of the space observation camera (SOC) of the multi-purpose infrared imaging system (MIRIS) to verify passive cooling. The thermal analyses were conducted with NX 7.0 TMG for two cases of attitude of the MIRIS: for the worst hot case and normal case. Through the thermal analyses of the flight model, it was found that even in the worst case the telescope could be cooled to less than $206^{\circ}K$. This is similar to the results of the passive cooling test (${\sim}200.2^{\circ}K$). For the normal attitude case of the analysis, on the other hand, the SOC telescope was cooled to about $160^{\circ}K$ in 10 days. Based on the results of these analyses and the test, it was determined that the telescope of the MIRIS SOC could be successfully cooled to below $200^{\circ}K$ with passive cooling. The SOC is, therefore, expected to have optimal performance under cooled conditions in orbit.

• Asian-Australasian Journal of Animal Sciences
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• 제18권5호
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• pp.643-648
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• 2005

Near infrared reflectance spectroscopy (NIRS) has become increasingly used as a rapid, accurate method of evaluating some chemical constituents in cereal grains and forages. If samples could be analyzed without drying and grinding, then sample preparation time and costs may be reduced. This study was conducted to develop robust NIRS equations to predict fermentation quality of corn (Zea mays) silage and to select acceptable sample preparation methods for prediction of fermentation products in corn silage by NIRS. Prior to analysis, samples (n = 112) were either oven-dried and ground (OD), frozen in liquid nitrogen and ground (LN) and intact fresh (IF). Samples were scanned from 400 to 2,500 nm with an NIRS 6,500 monochromator. The samples were divided into calibration and validation sets. The spectral data were regressed on a range of dry matter (DM), pH and short chain organic acids using modified multivariate partial least squares (MPLS) analysis that used first and second order derivatives. All chemical analyses were conducted with fresh samples. From these treatments, calibration equations were developed successfully for concentrations of all constituents except butyric acid. Prediction accuracy, represented by standard error of prediction (SEP) and $R^2_{v}$ (variance accounted for in validation set), was slightly better with the LN treatment ($R^2$ 0.75-0.90) than for OD ($R^2$ 0.43-0.81) or IF ($R^2$ 0.62-0.79) treatments. Fermentation characteristics could be successfully predicted by NIRS analysis either with dry or fresh silage. Although statistical results for the OD and IF treatments were the lower than those of LN treatment, intact fresh (IF) treatment may be acceptable when processing is costly or when possible component alterations are expected.

• 공업화학
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• 제23권1호
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• pp.35-41
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• 2012

본 논문에서는 바이오연료 제품 품질 분석의 저가격화와 시간단축, 그리고 궁극적으로 바이오연료 생산 공정의 모니터링 실시간화를 해결하기 위해 적외선 분광분석과 화학계량학(Chemometrics)을 융합한 on-line 분광 모니터링 시스템을 제안하고자 한다. 화학계량학 중 부분최소자승법을 사용하여 적외선 spectrum과 성분 농도 간의 정량분석을 실시하였다. 몇 가지 전처리법과 변수 중요도척도를 이용하여 모델링한 결과 spectrum의 보정, 노이즈 감소, 검량선의 유지보수 등의 측면에서 Savitzky-Golay 전처리가 가장 우수함을 보였다. 본 연구의 결과를 통해 실시간 품질 측정뿐만 아니라 하나의 분광분석 장치로 여러 성분들의 동시 측정이 가능함을 확인함으로써 비용의 절감도 예상된다. 뿐만 아니라 결정계수 $R^2$이 0.99 이상으로 실험실분석의 대체도 가능하다.