• Journal for History of Mathematics
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• v.24 no.4
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• pp.143-155
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• 2011

The discriminant is one of the important concepts in school mathematics according to second degree polynomials. In this paper we survey the history of development to discriminant of any higher degree polynomials and investigate how the discriminant works for determining the graph of polynomials.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.62 no.2
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• pp.105-112
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• 2017

The mixing of rice and brown rice produced in different years is banned in Korea by the grain management act. However, there has been no reported method for discriminating the production year of rice. The objective of this study was to develop a method for discriminating the production year of rice and brown rice based on their phospholipids content. One hundred rice samples and 130 brown rice samples produced between 2012 and 2015 were collected. Twelve phosphatidylcholine components were analyzed by liquid chromatography-tandem mass spectrometry. Phosphatidylcholine was used as an internal standard to calculate the peak intensity of the samples. A statistical analysis of the results showed that the centroid distance between the stale and new rice was 4.16 and the classification ratio was 97%. To verify the calculated discriminant, 61 and 40 rice samples were collected. The accuracy of discrimination was 82% by primary verification and 80% by secondary verification. The statistical analysis of brown rice showed that the centroid distance between the stale and new brown rice was 3.14 and the classification ratio was 96%. To verify the calculated discriminant, 10 samples of new rice and 30 samples of stale rice were collected and the accuracy of discrimination was 93%. The accuracy of discrimination for rice stored at room temperature was 57.9-92.1% and that for rice stored at a low temperature was 86.8-94.7%, depending on the storage period. For brown rice, the detection accuracy was 94.7-100% at room temperature and 92.1-100% at a low temperature, depending on the storage period. The accuracy of discrimination for rice was affected by the storage temperature and time, while that for brown rice was more than 92% regardless of the storage conditions. These results suggest that the developed discriminant analysis method could be utilized to determine the production year of rice and brown rice.

• Journal of Sasang Constitutional Medicine
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• v.12 no.1
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• pp.173-185
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• 2000

1. The purpose of study The purpose of study is The New Sasang Constitution Questionnaire to improve clinical right, as the person takes off uncomfortable to must use both Questionnaire of Sasang Constitution Classification II (QSCC) and Questionnaire of Sasang Classification(I) 2. The method of study I made the judgmental equation, increasing ability of judgment to give thinking importance among each subject about a Clinical study of judgment and the method of using, I investigated which Equation is better by a Clinical Study of the judgment. I made Equation, 9 and examine the Accuracy rate of the judgment through patients, student of University formal peoples and peoples taking the drugs 304 member totally. 3. The result of study I made 9 Equation of the judgment. The Equation of the judgment(I-2) is the highest ability of the judgment, the diagnostic accuracy is 60.53% about Soeum, 52.78% about Taeum, 48.39 about Soyang.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.63 no.2
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• pp.98-105
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• 2018

The sale of brown rice batches composed of rice produced in different years is prohibited in Korea. Thus, new methods for the identification of the year of production are critical for maintaining the distribution of high quality brown rice. Here, we describe the exploitation of an enzyme that can be used to discriminate between freshly harvested and one-year-old brown rice. The degree of enzyme activity was visualized through freshness test with Guaiacol, Oxydol, and p-phenylenediamine reagents. With electronic eye equipment, we selected 29 color codes for identifying new brown rice and old brown rice. The discrimination power of selected color codes showed a minimum of 0.263 to a maximum of 0.922 and an average value of 0.62. The accuracy with which new brown rice and old brown rice could be identified was 100% in principal component analysis (PCA) and discriminant function analysis (DFA). The DFA analysis had greater discriminatory power than did the PCA analysis. A verification test using new brown rice, old brown rice, or a mixture of the two was then performed to validate our method. The accuracy of identification of new and old brown rice was 100% in both cases, whereas mixed brown rice samples were correctly classified at a rate of 96.9%. Additionally, in order to test whether the discriminant constructed in winter can be applied to samples collected in summer, new and old brown rice stored for 8 months were collected and tested. Both new and old brown rice collected in summer were classified as old brown rice and showed 50% identification accuracy. We were able to attribute these observations to changes in enzyme content over time, and therefore we conclude, it will be necessary to develop discriminants that are specific to distinct storage periods in the near future.

• 전기의세계
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• v.9
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• pp.36-39
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• 1962

직류기정류이론은 Arnold, Langsdorf등에 의하여 연구되어 왔으며, 이들은 정류방정식에서 정류주기중의 전류의 시간적변화와 정류주기종단에서 전류의 시간적 변화율의 값에 의하여 spark 발생여부를 판별하여 정류량부를 판별하였다. 본 논문은 상기한 방법과는 달리 정류의 기본방정식에서 정류곡선의 일반식을 구하고 정류곡선을 해석하여 정류양부를 판별하는 것이며, 정류주기중에 있는 단종선론의 coil저항과 연접한 극(pole)아래의 Brush에 의한 단각전류의 상호유도작용까지도 고려하였을때의 정류곡선의 일반식을 구하고 이를 해석하여 Langsdorf에 의하여 연구된 정류판별의 결과를 비교하여 정류판별에 대한 차이점과 명확한 결론을 제시코저 한다.

• Journal of Ginseng Research
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• v.26 no.1
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• pp.6-9
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• 2002

This study was undertaken to evaluate the automatic decision-making on the rusty root of fresh ginseng (Panax ginseng C.A. Meyer) by an image analyzer. Critical value of rusty root of ginseng by image analyzing was the percentage of grey value 0∼148 area (G 148) to the total area of grey value 0∼255. And the discriminant formula of rusty root of ginseng as follows; rusty root of ginseng : 6.68$\times$G(148) +3.74, normal ginseng : 2.86$\times$G(148) +9.96, and fitness rates of this formula were 89.8%. Also, we developed the automatic rusty root of decision-making program. As the result of this study, the automatic decision-making on the rusty root of fresh ginseng by an image analyzer seems to have high possibility.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.04a
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• pp.429-432
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• 2000

본 논문은 급변하는 정보통신 기술의 효율적 개발을 위한 진단적 정보의 제공을 목적으로 하고 있다. 즉 기술개발 전략을 제언하기 위한 선결작업으로써, 기술개발의 대상에 대한 직접적 분석과 전략에 대한 시사점을 제공하려 함이다. 따라서 본 논문에서는 기술의 유형 구분을 위한 양 설명축을 설정하고, 이에 따라서 기술의 유형을 구분하게 된다. 그 후 이상의 그룹 설정에 대한 타당성 검증을 위해 T-test 를 실시하고, 이 타당성을 바탕으로 판별분석을 실시하여, 기술유형의 구분을 위한 판별식을 도출하였다. 이 판별식을 통해 기업입장에서는 기술개발을 위한 기술의 효과적인 분석이 가능할 것이다.

• Journal of the Korea Society for Simulation
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• v.25 no.4
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• pp.85-91
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• 2016

We consider the problem of determining a set of feasible systems when a performance measure in a stochastic constraint needs to be evaluated via simulation. We develop a new procedure that controls tolerance level automatically by using a pair of existing feasibility determination procedures iteratively. When compared to the exiting procedure, the new procedure provides significantly better performance in accuracy and stability, while not depending on the given tolerance level.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.37 no.6
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• pp.1-6
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• 2000

In this paper, the problem of the stability analysis for linear neutral delay-differential systems with nonlinear perturbations is investigated. Using Lyapunov second method, a new delay-dependent sufficient condition for asymptotic stability of the systems in terms of linear matrix inequalities (LMIs), which can be easily solved by various convex optimization algorithms, is presented. A numerical example is given to illustrate the proposed method.

• Proceedings of the Korean Information Science Society Conference
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• 2007.10c
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• pp.470-474
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• 2007

U-healthcare는 종래의 헬스케어 영역에 유비쿼터스 기술을 접목하여 개인의 건강상태 관리를 도와주는 서비스이다. 이의 기반이 되는 기술인 질환 유무를 판별하는 기법은 그 동안 헬스케어 영역에 적용시켜 왔다. 하지만, 적시에 언제 어디서나 지속적인 모니터링이 요구되는 U-health환경에서는 기존의 기계학습기법을 그대로 적용하는 데에는 어려움이 있다. 본 논문에서는 통계기반의 질환 유무 판별 기법을 제안한다. 본 판별 기법은 질환 판별에 이용되는 생체신호와 신체증상의 종류로 배열 구조를 설정하고 축적된 데이터로부터 생체신호와 신체증상간의 쌍에 누적 빈도 수를 기록하여 학습한 뒤 고안한 판별식을 적용시켜 사용자의 질환을 판별하는 기법이다. 제한적인 검증이지만 약 360명의 실제 환자 데이터를 이용하여 기법을 검증하였고, 빠른 속도와 지속적인 개선이 가능한 기법임을 알 수 있었다. 추후 정확한 데이터를 기반으로 다른 기법과의 비교 검증으로 엄밀한 검증이 요구된다.