• Nuclear Engineering and Technology
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• 제53권10호
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• pp.3151-3157
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• 2021

Copper is an important structural material in various nuclear energy applications, therefore the correct knowledge of copper cross sections is crucial. The presented paper deals with a validation of different copper transport libraries by means of activation of selected samples. An intense ²⁵²Cf(sf) source with a reference neutron spectrum was used as a neutron source. After irradiation, the samples were measured using a high purity germanium detector and the dosimeter reaction rates were inferred. These experimental data were compared with MCNP6 calculations using CENDL-3.1, JENDL-4.0, ENDF/B-VII.1, ENDF/B-VIII.0, JEFF-3.2 and JEFF-3.3 evaluated Cu transport libraries. The experiment specifically focuses on ⁵⁸Ni(n,p)⁵⁸Co, ⁹³Nb(n,2n)^92mNb, ¹⁹⁷Au(n,g)¹⁹⁸Au and ⁵⁵Mn(n,g)⁵⁶Mn dosimetry reactions. Evaluated activation cross sections of these dosimetric reactions were taken from the IRDFF-II library. The best library performance depends on the energy region of interest.

• 한국항공운항학회지
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• 제29권4호
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• pp.37-44
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• 2021

In case of South Korea, the airspace which airlines can operate is extremely limited due to the military operational area located within the Incheon flight information region. As a result, safety problems such as mid-air collision between aircraft or Traffic alert and Collision Avoidance System Resolution Advisory (TCAS RA) may occur with higher probability than in wider airspace. In order to prevent such safety problems, an mid-air collision risk detection model based on Detect-And-Avoid (DAA) well clear metrics is investigated. The model calculates the risk of mid-air collision between aircraft using aircraft trajectory data. In this paper, the practical use of DAA well clear metrics based model has been validated. Aviation safety data such as aviation safety mandatory report and Automatic Dependent Surveillance Broadcast is used to measure the performance of the model. The attributes of individual aircraft track data is analyzed to correct the threshold of each parameter of the model.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2008년도 International Symposium on Remote Sensing
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• pp.301-304
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• 2008

Since longer wavelength microwave radiation can penetrate clouds, satellite passive microwave sensors can observe sea ice of the entire polar region on a daily basis. Thus, it is becoming popular to derive sea ice motion vectors from a pair of satellite passive microwave sensor images observed at one or few day interval. Usually, the accuracies of derived vectors are validated by comparing with the position data of drifting buoys. However, the number of buoys for validation is always quite limited compared to a large number of vectors derived from satellite images. In this study, the sea ice motion vectors automatically derived from pairs of AMSR-E 89GHz images (IFOV = 3.5 ${\times}$ 5.9km) by an image-to-image cross correlation were validated by comparing with sea ice motion vectors manually derived from pairs of cloudless MODIS images (IFOV=250 ${\times}$ 250m). Since AMSR-E and MODIS are both on the same Aqua satellite of NASA, the observation time of both sensors are the same. The relative errors of AMSR-E vectors against MODIS vectors were calculated. The accuracy validation has been conducted for 5 scenes. If we accept relative error of less than 30% as correct vectors, 75% to 92% of AMSR-E vectors derived from one scene were correct. On the other hand, the percentage of correct sea ice vectors derived from a pair of SSM/I 85GHz images (IFOV = 15 ${\times}$ 13km) observed nearly simultaneously with one of the AMSR-E images was 46%. The difference of the accuracy between AMSR-E and SSM/I is reflecting the difference of IFOV. The accuracies of H and V polarization were different from scene to scene, which may reflect the difference of sea ice distributions and their snow cover of each scene.

• 생약학회지
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• 제53권2호
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• pp.111-118
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• 2022

Chestnut honey is a sweet dark-colored honey with a distinct bitter aftertaste. It contains numerous phenolic compounds and alkaloids and is noted for its antioxidant and anti-inflammatory activities. However, it has been established that there are differences in the composition and activity of chestnut honey constituents depending on the region of origin, the sources of which warrant further research. In this study, we analyzed the kynurenic acid (KA) contents in chestnut honey produced in nine different regions in Korea, using high-performance liquid chromatography in conjunction with ultraviolet detection, and validated the analytical method developed. Use of a reverse-phase column and detection at a wavelength of 240 nm were found to be optimal for the detection of KA. Similar evaluation of an optimal method for extracting KA from chestnut honey revealed that extraction using 10% EtOH at 20 times the sample volume over a 6 h period was the most suitable for obtaining a high content of KA. Among the nine regional chestnut honeys assessed, KA content was found to be highest in the "Gongju" sample (1.14 mg/g), followed by that in the "Cheongdo" and "Damyang" samples. Validation of the KA analytical method revealed a good analyte linearity, with a correlation coefficient (r²) of 0.9995, an accuracy of between 92.37% and 107.35%, and good precision (RSD ≤ 1.05%). Our findings in this study, based on a validated quantitative analytical method for KA, could make an important contribution to establishing a data profiling procedure for characterizing chestnut honeys produced in different regions, and may also provide basic data for the identification of functional honey.

• 한국환경과학회지
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• 제25권1호
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• pp.181-190
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• 2016

Regional air quality regulation is a system that allows the Minister of Environment to designate the local area as air quality control region where the concentrations of air pollutants are exceeding the environmental standards, and the local governments that administrate the regulated area have to develop and practise a plan for reducing the air pollutants. From the data observed yearly by the monitoring stations in 8 provincial cities with more than 0.5 million people was judged the compliance with air quality standards in each municipality for the period of 2003 to 2013. As the result of investigation on air pollutants concentrations of each city, it was found that there was no station that exceeds the ambient air quality standards of CO, $SO_2$ and 24-hour $NO_2$. But all municipalities exceeded the standards of 8-hour $O_3$, annual and 24-hour $PM_{10}$, and therefore 8 municipalities can be designated to be under the local air regulation. For the annual $NO_2$ were the monitoring sites necessary requirements for designation of the air quality regulation region in Cheongju, Cheonan, Daejeon and Gwangju area. Incase of 1-hour $O_3$, some of stations in Pohang, Cheongju, Cheonan and Changwon area were over the designation standards for the air quality control region.

• 셀메드
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• 제5권3호
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• pp.15.1-15.12
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• 2015

Comparative studies have established that the North-Eastern (NE) region of India which is a part of the Eastern Himalayan region is affluent in both traditional knowledge based phytomedicine and biodiversity. About 1953 ethno-medicinal plants are detailed from the NE region of India out of which 1400 species are employed both as food and ethnopharmacological resources. Nearly 70% of species diversity has been reported from the two Indian biodiversity hotspots-The Western Ghats and the Eastern Himalayas and these hotspots are protected by tribal communities and their ancient traditional knowledge system. Paris polyphylla Smith belongs to the family Melanthiaceae and is a traditional medicinal herb which is known to cure some major ailments such as different types of Cancer, Alzheimer's disease, abnormal uterine bleeding, leishmaniasis etc. The major phytoconstituents are dioscin, polyphyllin D, and balanitin 7. Phylogeny of Paris was inferred from nuclear ITS and plastid psbA-trnH and trnL-trnF DNA sequence data. Results indicated that Paris is monophyletic in all analyses. Rhizoma Paridis, which is the dried rhizome of Paris polyphylla is mainly used in Traditional Chinese Medicine and its mode of action is known for only a few cancer cell lines. The current review determines to sketch an extensive picture of the potency, diversity, distribution and efficacy of Paris polyphylla from the Eastern Himalayan region and the future validation of its phytotherapeutical and molecular attributes by recognizing the Intellectual Property Rights of the Traditional Knowledge holders.

• 한국융합학회논문지
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• 제9권4호
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• pp.47-55
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• 2018

본 논문에서는 얼굴인식 성능 향상을 위해 얼굴 지역 영역 영상들로 학습된 다중개의 심층 합성곱 신경망(Deep Convolutional Neural Network)으로부터 추출된 심층 지역 특징들(Deep local features)을 가중치를 부여하여 결합하는 방법을 제안한다. 제안 방법에서는 지역 영역 집합으로 학습된 다중개의 심층 합성곱 신경망으로부터 추출된 심층 지역 특징들과 해당 지역 영역의 중요도를 나타내는 가중치들을 결합한 특징표현인 '가중치 결합 심층 지역 특징'을 형성한다. 일반화 얼굴인식 성능을 극대화하기 위해, 검증 데이터 집합(validation set)을 사용하여 지역 영역에 해당하는 가중치들을 계산하고 가중치 집합(weight set)을 형성한다. 가중치 결합 심층 지역 특징은 조인트 베이시안(Joint Bayesian) 유사도 학습방법과 최근접 이웃 분류기(Nearest Neighbor classifier)에 적용되어 테스트 얼굴영상의 신원(identity)을 분류하는데 활용된다. 제안 방법은 얼굴영상의 자세, 표정, 조명 변화에 강인하고 기존 최신 방법들과 비교하여 얼굴인식 성능을 향상시킬 수 있음이 체계적인 실험을 통해 검증되었다.

• 공업화학
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• 제28권4호
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• pp.448-453
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• 2017

테일러 반응기에서 일어나는 유동의 변화를 전산유체역학을 이용하여 3차원 유동해석을 수행하였다. 테일러 유동은 레이놀즈 수의 증가에 따라 5개의 영역(순환 쿠에트 유동(CCF), 테일러 와류 유동(TVF), 물결 와류 유동(WVF), 변조 물결 와류 유동(MWVF), 난류 테일러 와류 유동(TTVF))으로 나뉘어지며, 각각의 영역에서의 유동 특성을 알아보았다. 각각의 영역에서 와류의 형상, 개수, 길이 등에 차이를 나타나며 바이패스 흐름에도 영향을 줌을 확인하였다. 그 결과 TVF, WVF, MWVF, TTVF 영역에서 테일러 와류가 발생하였다. 테일러 와류의 개수는 TVF 영역에서 가장 많으며 TTVF 영역에서 가장 적게 관찰되었다. 수치해석모델의 검증을 위하여 실험결과와 비교하였고, 실험결과 대비 해석결과가 잘 일치함을 나타내었다.

• 대한의용생체공학회:의공학회지
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• 제26권6호
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• pp.357-363
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• 2005

Active contour models have been extensively used to segment, match, and track objects of interest in computer vision and image processing applications, particularly to locate object boundaries. With conventional methods an object boundary can be extracted by controlling the internal energy and external energy based on energy minimization. However, this still leaves a number of problems, such as initialization and poor convergence in concave regions. In particular, a contour is unable to enter a concave region based on the stretching and bending characteristic of the internal energy. Therefore, this study proposes a method that controls the internal energy by moving the local perpendicular bisector point of each control point on the contour, and determines the object boundary by minimizing the energy relative to the external energy. Convergence at a concave region can then be effectively implemented as regards the feature of interest using the internal energy, plus several objects can be detected using a multi-detection method based on the initial contour. The proposed method is compared with other conventional methods through objective validation and subjective consideration. As a result, it is anticipated that the proposed method can be efficiently applied to the detection of the pulmonary parenchyma region in medical images.

• 대한의용생체공학회:의공학회지
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• 제44권1호
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• pp.25-32
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• 2023

Recognizing the size and location of prostate cancer is critical for prostate cancer diagnosis, treatment, and predicting prognosis. This paper proposes a model to classify the tumor region and normal tissue with cross-sectional visual images of prostatectomy tissue. We used specimen images of 44 prostate cancer patients who received prostatectomy at Gachon University Gil Hospital. A total of 289 prostate slice images consist of 200 slices including tumor region and 89 slices not including tumor region. Images were divided based on the presence or absence of tumor, and a total of 93 features from each slice image were extracted using Radiomics: 18 first order, 24 GLCM, 16 GLRLM, 16 GLSZM, 5 NGTDM, and 14 GLDM. We compared feature selection techniques such as LASSO, ANOVA, SFS, Ridge and RF, LR, SVM classifiers for the model's high performances. We evaluated the model's performance with AUC of the ROC curve. The results showed that the combination of feature selection techniques LASSO, Ridge, and classifier RF could be best with an AUC of 0.99±0.005.