• Journal of the Korean Society for Aviation and Aeronautics
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• v.19 no.4
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• pp.105-110
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• 2011

The flight test comes at the end of the aircraft development process and is an unique part. The purposes of the flight test are to evaluate the characteristics of the aircraft and validate its design in the real operating environment. Atmospheric considerations are key elements, when the planner of flight test establishes the flight test planning. The primary objective of atmospheric considerations is to ensure safety of the vehicle. The planning through atmospheric considerations can minimize flight cancellations caused by severe weather. In this paper, we present a program for flight suitability distinction, and develop a program for calculation of available sorties.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.10a
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• pp.603-606
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• 2016

철로를 구성하는 요소 중 하나인 선로전환기는 열차의 궤도를 변경하는 부품 중 하나로써, 열차가 주행 중에 인접한 다른 선로로 주행방향을 전환할 때 사용된다. 철로운영 지침서에 따르면 내구수명 10년 혹은 전환횟수 20만회를 선로전환기의 교체시점으로 권고하고 있으나, 실제 현장에서는 예산문제 등으로 인하여 잘 지켜지지 않는 것이 현실이다. 또한, 선로전환기에 관한 연구 문헌들에서도 선로전환기의 교체시기에 관한 학술적 실용적 차원의 연구 결과를 찾아볼 수 없다. 본 논문에서는 선로전환기의 전류 적분 값을 이용하여 선로전환기의 교체 시점을 결정하는 시스템을 제안한다. 제안된 시스템은 실제 현장에서 선로전환기의 교체시기를 판별하는 유용한 지표로 사용될 것으로 기대된다.

• Annual Conference on Human and Language Technology
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• 2013.10a
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• pp.107-109
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• 2013

주식 시장에서 거래되고 있는 증권은 MACD(Moving Average Convergence Divergence), Stochastic 등의 보조 지표를 이용하는 기술적 분석을 통하여 매수/매도 시점을 결정한다. 주식 시장의 객관적인 자료를 통하여 분석하는 기술적 분석 방법은 주식 시장 외적인 요소를 반영하는데 있어 한계점이 존재한다. 본 논문에서는 기술적 분석 방법에 기사를 종목별로 분류하고 기사의 긍정 및 부정을 판별하는 문서 분류 기법을 적용하여 주식 외적인 요소를 반영하는 시스템을 제안한다.

• Korean Journal of Organic Agriculture
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• v.18 no.2
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• pp.257-269
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• 2010

To investigate the possibility of discrimination between organic and non-organic rice using stable isotope nitrogen of natural abundance, organic rice of 17 samples and non-organic rice of 13 samples grown at adjoining organic rice field were collected in 2008. Rice was grinded into brown rice, milled rice and hull, and samples were analysed for nitrogen and $\delta^{15}N$ at NICEM. Authors also made inquiries about N source for both farmers who conduct organic- and non-organic rice cultivation. In order to know whether the $\delta^{15}N$ can be used in discrimination between organic and non-organic rice, discriminant analysis were made with SPSS and logistic method. 1. Organic farmers used manure, rice bran, used mushroom culture, fermented fertilizer (company products), and oil cake, but non-organic farmers applied compound fertilizer. Rice straws were remained in organic rice field while moved out in non-organic field. 2. There were difference in $\delta^{15}N$ among organic rice and its byproduct(7.760????% in hull, 6.720????% in rice), but significant difference was not found between them. And the trend was same between province. Non-organic rice showed similar results. 3. Significant difference of $\delta^{15}N$ were found between organic rice and non-organic rice (p<0.01) and between hull of organic rice and that of non-organic rice hull (p<0.05). $\delta^{15}N$ seemed to be useful criteria for discrimination of organic and non-organic rice. 4. When applied discrimination analysis of SPSS and logistic, there were significant difference between organic rice, non-organic rice and its byproducts except brown rice and hull in SPSS method. Hull can be used as the most useful component for unknown sample prediction with 83.3% probability.

• Journal of the Korean Society of Food Science and Nutrition
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• v.25 no.4
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• pp.672-679
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• 1996

In order to examine the quality attributes of native-bee honey, proximate composition and mineral components were analysed by atomic absorption spectrometry, ion chromatography and high performance liquid chromatography. The analytical results showed that native-bee honey is higher in the contents of crude ash, crude protein and diastase activity than those of foreign-bee honey. The principal mineral components of honey were Ca, Mg, Na, K and Cl, which showed that almost all the mineral components were contained higher in the native-bee honey than the foreign-bee honey samples. When we calculated K/Na ratio, we could make a clear distinction between native-bee honey and foreign-bee honey. The K/Na ratio turned out to be more than 10 in 6 samples of native-bee honey, whereas the ratio of foreign-bee honey showed up less than 1.5 in all 3 samples.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.4
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• pp.116-125
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• 2020

Incalculable damage will be incurred if the national infrastructure that provides services using GNSS signals is affected by jamming signals. To prevent this, a nationwide GNSS jamming monitoring network is necessary to detect the occurrence of a jamming signal, determine the type, and properly localize the jammer position. In this paper, 2-D images for live GNSS signals were generated to verify the environment of the jamming signals through the presence and type of GNSS jamming signals at K-City, which are the test beds for self-driving vehicles, and Incheon International Airport. The analysis was also conducted to detect the occurrence of the jamming signals, determine the type, and measure the jamming signal strength. As a result, a CWI type of jamming signal was detected in L2 band at K-City and in L5 band at Incheon International Airport.

• Journal of the Korean Magnetics Society
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• v.23 no.3
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• pp.104-109
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• 2013

Clip-type pulsimeter equipped with Hall device and a minute permanent magnet as sensing the minute movement of a radial artery was developed. The clinical data of the 120 number of subject acquisited through the clip-type pulsimeter did treated with a typical statistical logistic regression analysis. The prediction algorithm for the replete pulse and vacuous pulse was studied. The reflective peak time and the notch peak time were major parameters to discern the replete pulse and vacuous pulse. The discrimination rate was 65%. It suggests that the logistic regression equations are possible to use the diagnosis index to predict and discern the oriental pulse wave.

• Journal of Digital Contents Society
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• v.18 no.3
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• pp.525-534
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• 2017

The open set recognition method should be used for the cases that the classes of test data are not known completely in the training phase. So it is required to include two processes of classification and the validation test. This kind of research is very necessary for commercialization of face recognition modules, but few domestic researches results about it have been published. In this paper, we propose an open set face recognition method that includes two sequential validation phases. In the first phase, with dummy classes we perform classification based on sparse representation. Here, when the test data is classified into a dummy class, we conclude that the data is invalid. If the data is classified into one of the regular training classes, for second validation test we extract four features and apply them for the proposed decision function. In experiments, we proposed a simulation method for open set recognition and showed that the proposed validation test outperform SCI of the well-known validation method

• Journal of Korean Society of Forest Science
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• v.102 no.3
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• pp.407-414
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• 2013

This study was conducted to classify forest cover types using the multivariate statistical analysis in the natural forest of western Mt. Jiri. On the basis of the vegetation data by point quarter sampling, the adopted analytical methods were species-area curve (SAC), hierarchical cluster analysis (HCA), indicator species analysis (ISA), and multiple discriminant analysis (MDA). SAC selected the outlier tree species which was likely to have no influence on the classification of forest cover types, excluded from all analytical process. Based on forest vegetative information, HCA classified the study area into 2 to 10 clusters and ISA indicated that the optimal number of clusters were seven. MDA was taken to test the clusters that classified with HCA and ISA. The seven clusters were classified appropriately as overall classification success were 91.3%. The classified forest cover types were named by the ratio of the dominant species in the upper layer of each cluster. They were (1) Quercus mongolica Pure forest, (2) Mixed mesophytic forest, (3) Q. mongolica - Q. serrata forest, (4) Abies koreana - Q. mongolica forest, (5) Fraxinus mandshurica forest, (6) Q. serrata forest, and (7) Carpinus laxiflora forest.

• Korean Journal of Food Science and Technology
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• v.48 no.6
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• pp.531-535
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• 2016

Phlomis umbrosa and Dipsacus asperoides are distinct species, even though they have a similar appearance. Dipsacus asperoides is used as a Chinese medicinal plant for and has bone strengthening and fracture healing but Phlomis umbrosa has no effect on bone growth. Recently, these plants were used in children's food to improve their bone growth, without distinction in food. Intakes of Dipsacus asperoides in food may be dangerous, because it has never been used in food and its safety has never been tested in humans. We developed liquid chromatography with tandem mass spectrometry method to distinguish these plants in food. The method was validated for linearity, limits of detection, limits of quantification, accuracy and precision. In 5 of 17 samples, we identified Dipsacus asperoides, containing loganin $0.19-14.45{\mu}g/mL$, sweroside $0.13-4.61{\mu}g/mL$ and akebia saponin D $0.59-19.29{\mu}g/mL$. The developed method might be useful to identify Dipsacus asperoides in adulterated food.