• 한국정보통신학회논문지
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• 제22권11호
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• pp.1435-1441
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• 2018

온라인 서명 검증은 간단하면서도 효율적인 본인 확인 방법의 하나로 생체 인식에 따른 거부감이 적은 장점으로 본인 확인 용도로 사용되고 있다. 서명 검증을 분류 문제로 접근하기 위해서는 모조서명이 필요하지만, 대부분의 실용적인 응용에서 모조서명을 확보하기는 쉽지 않으며 진서명 역시 많은 양을 확보하기는 쉽지 않다. 이 논문에서는 모조서명의 확보가 어려운 문제를 해결하기 위해 단일 클래스 SVM을 사용하고, 진서명의 양이 제한되는 문제는 다른 사람의 서명 데이터를 일반 필기 데이터로 사용하여 해결하는 방법을 제시한다. 다른 사람의 서명 데이터는 검증하고자 하는 서명과 형태적인 유사점을 찾을 수 없지만, 서명에서의 일반적인 특징을 반영하고 있으므로 적은 수의 진서명만을 확보할 수 있는 경우에 사용하면 검증률을 높일 수 있으며 이는 실험 결과를 통해서 확인할 수 있다.

• 한국문헌정보학회지
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• 제26권
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• pp.75-112
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• 1994

The purpose of this study is to investigate the problems concerning 780 music division of DDC. The object is especially arrangement of 780 music in the 20th edition of DDC which is the complete revision. The result is summarized as follows : 1. Although music is an important subject in humanities, especially in arts, it was classified as one division (780) not class. 2. The arrangement of 780 music is severely west-oriented music theory, vocal music and instrumental music. 3. Classification number of 780 music becomes longer because of the limitation of decimal notation. 4. 780 music division of DDC neglects music theory and emphasizes music practicing, especially performance. 5. The assignment of classification number is unbalanced, especially between theory and practice, composition and performance, and among sub-sections of vocal and instrumental music. 6. Many important subject are omitted in DDC music schedule, for example, musicology and branches of musicology, composition and traditional instruments of many countries. 7. Employment of terminology is often improper and inconsistant.

• 대한수학회지
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• 제48권2호
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• pp.341-365
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• 2011

In this paper, we establish general stratawise higher jet evaluation transversality of J-holomorphic curves for a generic choice of almost complex structures J (tame to a given symplectic manifold (M, $\omega$)). Using this transversality result, we prove that there exists a subset $\cal{J}^{ram}_{\omega}\;{\subset}\;\cal{J}_{\omega}$ of second category such that for every $J\;{\in}\;\cal{J}^{ram}_{\omega}$, the dimension of the moduli space of (somewhere injective) J-holomorphic curves with a given ramication prole goes down by 2n or 2(n - 1) depending on whether the ramication degree goes up by one or a new ramication point is created. We also derive that for each $J\;{\in}\;\cal{J}^{ram}_{\omega}$ there are only a finite number of ramication profiles of J-holomorphic curves in a given homology class $\beta\;{\in}\;H_2$(M; $\mathbb{Z}$) and provide an explicit upper bound on the number of ramication proles in terms of $c_1(\beta)$ and the genus g of the domain surface.

• 한국마린엔지니어링학회:학술대회논문집
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• 한국마린엔지니어링학회 2002년도 춘계학술대회논문집
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• pp.273-277
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• 2002

This paper describes an optimal synthesis method of binary neural network(BNN) for an approximation problem of a circular region and synthetic image having four class using a newly proposed learning algorithm. Our object is to minimize the number of connections and neurons in hidden layer by using a Newly Expanded and Truncated Learning Algorithm(NETLA) based on the multilayer BNN. The synthesis method in the NETLA is based on the extension principle of Expanded and Truncated Learning (ETL) learning algorithm using the multilayer perceptron and is based on Expanded Sum of Product (ESP) as one of the boolean expression techniques. The number of the required neurons in hidden layer can be reduced and fasted for learning pattern recognition.. The superiority of this NETLA to other algorithms was proved by simulation.

• East Asian mathematical journal
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• 제34권3호
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• pp.295-303
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• 2018

Gautam et al. [9] introduced the multivariable A-function, which is very general, reduces to yield a number of special functions, in particular, the multivariable H-function. Here, first, we aim to establish two very general integral formulas involving product of the general class of Srivastava multivariable polynomials and the multivariable A-function. Then, using those integrals, we find a solution of partial differential equations of heat conduction at zero temperature with radiation at the ends in medium without source of thermal energy. The results presented here, being very general, are also pointed out to yield a number of relatively simple results, one of which is demonstrated to be connected with a known solution of the above-mentioned equation.

• 한국국방경영분석학회지
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• 제15권1호
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• pp.14-27
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• 1989

This paper deals with the mission effectiveness of an airfleet, Airfleet operating system consists of a finite number of units performing the several mission types. Earlier works for the mission effectiveness of a fleet is limited to only one mission type and computer simulation approaches. The mission effectiveness. model of a fleet is constructed by three attributes - the mission readiness of the units, the mission reliability and capability of units. The environmental conditions and human factors affecting the mission success are considered together. The solution of the model is obtained by analytical technique. Especially, AOS is considered a closed queueing network with a finite number of units and a single job class. And then, the mission readiness of the units is found by the mean value analysis. The model would be a useful tool to readily evaluate mission effectiveness of a airfleet as it is and provide a criterion for determining the optimal operating policy.

• 한국수학사학회지
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• 제11권2호
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• pp.63-76
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• 1998

When teaching the linear regression analysis in the class, the power transformation must be introduced to fit the linear regression model for nonlinear data. Box and Cox (1964) proposed the attractive power transformation technique which is so called Box-Cox transformation. In this paper, an effective algorithm selecting an appropriate value for Box-Cox transformation is developed which is considered to find a value minimizing error sum of squares. When the proposed algorithm is used to find a value for transformation, the number of iterations needs to be considered. Thus, the number of iterations is examined through simulation study. Since SAS is one of most widely used packages and does not provide the procedure that performs iterative Box-Cox transformation, a SAS program automatically choosing the value for transformation is developed. Hence, the students could learn how the Box-Cox transformation works, moreover, researchers can use this for analysis of data.

• 정보처리학회논문지D
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• 제15D권6호
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• pp.767-776
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• 2008

마이크로어레이 기술은 최근 실험적 분자생물학 분야에서 활발히 사용되고 있는 기술이다. 마이크로어레이 데이터는 한 번의 실험으로 수 만개의 유전자에 대한 발현값을 얻을 수 있으므로, 여러 질병의 발현형질을 연구하는데 매우 유용하게 사용된다. 마이크로어레이 데이터의 문제점은 참여하는 유전자의 수에 비해 참여하는 샘플(생물조직샘플)의 수가 매우 적고, 분류분석 기법을 사용하여 얻어진 분류자의 해석이 어렵다는 점이다. 본 연구에서는 위의 문제점을 해결하고자, 샘플 내 순위를 이용하여 동일한 생물학적 목적으로 수행된 공개 마이크로어레이 데이터를 통합하고, 순위 비교를 기반으로 하는 다양한 유전자 개수로 이루어진 암 분류 결정 규칙들로 이루어진 분류자를 제안한다. 본 분류자는 k개의 규칙으로 이루어진 앙상블 방법을 기반으로 하며, 하나의 규칙은 최대N개의 유전자, 관련유전자간의 순위비교 관계식, 판별클래스로 이루어져 있다. 하나의 규칙에 참여하는 유전자의 수를 다양하게 함으로써 좀더 신뢰성 높은 분류자를 생성할 수 있다. 또한 본 분류자는 생물학적 해석이용이하며, 분류자를 구성하는 유전자를 명확히 식별할 수 있고, 총 개수가 많지 않으므로 임상환경에서의 사용가능성도 생각해 볼 수 있다.

• 한국국방경영분석학회지
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• 제17권1호
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• pp.61-83
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• 1991

There has been a great deal of research dealing with the optimal replacement of stochastically deteriorating equipment and research in queueing systems with a finite calling population. However. there has been a lack of research which combines these two areas to deal with optimal replacement for a fixed number of machines and a limited number of repairmen. In this research, an optimal control policy for replacement involving two machines and one repairman is developed by investigating a class of age replacement policies in the context of controlling a G/M/1 queueing system with a finite calling population. The control policy to be imposed on this problem is an age-dependent control policy, described by the control limit $t^{\ast}$. The control limit is operational only when the repairman is idle; that is. if both machines are working, as soon as a machine reaches the age $t^{\ast}$ it is taken out of service for replacememt. We obtain the ${\epsilon}$-optimal control age which will minimize the long-run average system cost. An algorithm is developed that is applicable to general failure time distributions and cost functions. The algorithm does not require the condition of unimodality for implementation.

• 천문학회지
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• 제47권6호
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• pp.209-214
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• 2014

In this study we develop a set of solar proton event (SPE) forecast models with NOAA scales by Multi Layer Perceptron (MLP), one of neural network methods, using GOES solar X-ray flare data from 1976 to 2011. Our MLP models are the first attempt to forecast the SPE scales by the neural network method. The combinations of X-ray flare class, impulsive time, and location are used for input data. For this study we make a number of trials by changing the number of layers and nodes as well as combinations of the input data. To find the best model, we use the summation of F-scores weighted by SPE scales, where F-score is the harmonic mean of PODy (recall) and precision (positive predictive value), in order to minimize both misses and false alarms. We find that the MLP models are much better than the multiple linear regression model and one layer MLP model gives the best result.