• 한국학교보건학회지
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• 제33권3호
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• pp.184-193
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• 2020

Purpose: This study was designed to investigate the trends in school health research in Korea using probabilistic latent semantic analysis. The study longitudinally analyzed the abstracts of the papers published in 「The Journal of the Korean Society of School Health」 over the recent 17 years, which is between 2004 and August 2020. By classifying all the papers according to the topics identified through the analysis, it was possible to see how the distribution of the topics has changed over years. Based on the results, implications for school health research and educational uses of latent semantic analysis were suggested. Methods: This study investigated the research trends by longitudinally analyzing journal abstracts using latent dirichlet allocation (LDA), a type of LSA. The abstracts in 「The Journal of the Korean Society of School Health」 published from 2004 to August 2020 were used for the analysis. Results: A total of 34 latent topics were identified by LDA. Six topics, which were「Adolescent depression and suicide prevention」, 「Students' knowledge, attitudes, & behaviors」, 「Effective self-esteem program through depression interventions」, 「Factors of students' stress」, 「Intervention program to prevent adolescent risky behaviors」, and 「Sex education curriculum, and teacher」were most frequently covered by the journal. Each of them was dealt with in at least 20 papers. The topics related to 「Intervention program to prevent adolescent risky behaviors」, 「Effective self-esteem program through depression interventions」, and 「Preventive vaccination and factors of effective vaccination」 appeared repeatedly over the most recent 5 years. Conclusion: This study introduced an AI-powered analysis method that enables data-centered objective text analysis without human intervention. Based on the results, implications for school health research were presented, and various uses of latent semantic analysis (LSA) in educational research were suggested.

• 대한조선학회논문집
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• 제33권3호
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• pp.35-47
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• 1996

포텐셜을 기저로 하는 판요소법을 사용하여 자유 표면이 존재하는 유동장에서 일정 속도로 전진하는 3차원 물체의 형상을 설계하였다. 설계 방법으로는 원하는 압력 분포를 경계 조건으로 부여하고 이를 만족하는 물체 형상을 찾아내는 역해석법(inverse method)을 사용하였다. 즉, 주어진 압력으로부터 물체 표면에 분포된 법선 다이폴의 세기인 포텐셜 값을 결정하게 되며, 이는 물체 표면에 대한 Dirichlet형태의 경계 조건으로서 Green의 정리로부터 유도된 적분 방정식을 해석하게 된다. 전체 속도 포텐셜은 기본 유동인 선속에 대한 성분과 선제에 의하여 교란되는 성분으로 구성되어진다고 가정하였으며, 교란 포텐셜을 사용하여 선형화된 자유 표면 경계 조건을 적용하였다. 적분 방정식에 대한 수치 해석을 위해 물체 표면에 법선 다이폴과 Rankine 쏘오스를 분포하였으며, 자유 표면에는 Rankine 쏘오스를 분포하고 4점 유한 차분법을 사용하여 자유 표면 경계 조건이 만족되도록 하였다. 해로서 얻어지는 각 판요소에서의 Rankine 쏘오스의 세기는 가상의 유동 출입량으로서 형상 수정항으로 사용되었다. 몰수 회전 타원체의 형상 설계에 대하여 본 설계법을 적용한 결과 무한 수심에서나 조파 상태에서 $4{\sim}6$회의 반복 계산으로 충분히 수렴된 해를 얻을 수 있었다. 또한 자유 표면을 가르고 전진하는 Wigley 수학적 선형에 대한 형상 설계를 수행하여 만족스러운 결과를 얻어내었으며, 얻어진 수치해는 매우 안정적이고 빠른 수렴성을 보였다. 선형의 우열 비교를 통해 조파 저항을 감소시킬 수 있는 압력 분포의 형태를 파악하였으며, 이를 바탕으로 조파 저항의 관점에서의 5500TEU급 콘테이너 운반선의 설계를 수행하였다. 설계되어진 새로운 선형은 조파 저항의 관점에서 기존의 선형보다 계산과 실험에서 모두 우수하게 개량된 것으로 나타났다.

• 한국전산유체공학회:학술대회논문집
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• 한국전산유체공학회 2005년도 추계 학술대회논문집
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• pp.293-298
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• 2005

We calculate the coordinates of an axisymmetric nozzle with a central body. This nozzle ensures a transonic flow with a plane sound surface, which is orthogonal to the symmetry axis and has a wall kink at the sonic point, The Chaplygin transformation in the subsonic part of the flow leads the Dirichlet problem for a system of nonlinear equations. The definition domain of the solution in the velocity-hodograph plane is taken as a rectangle. This enables one to obtain the nozzle with a monotonic distribution of velocity along its subsonic part. In the nonlinear differential equation, the linear Chaplygin operator for plane flows is separated, which allows the iterative calculation of the solution. The supersonic part of the nozzle is calculated under the assumption that the flow at the nozzle exit is uniform and parallel to the symmetry axis; i.e., the supersonic jet outflows to the submerged space with the same pressure. The calculation is performed by the characteristic method. The exact solution of Tricomi equation for near-sonic flows with the straight sonic line is used to 'move away' the sound plane. The velocity distribution alone the supersonic part of the nozzle is also monotonic, which ensures the absence of the boundary-layer separation and, therefore, the adequacy of the ideal-gas model. calculations show that the flow in the supersonic part of the nozzle is continuous (compression shocks are absent)

• 응용통계연구
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• 제26권1호
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• pp.59-70
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• 2013

2012년 4월 11일 총선 당일 이루어진 출구조사에서 정당별 의석수를 구간으로 예측했음에도 불구하고 예측이 빗나갔다. 지상파 3사가 출구조사는 공동으로 실시하였지만 정당별 의석수 예측은 각자 하였다고 하는데 구체적 예측 방법은 공개하지 않았다. 이 논문에서 정당별 지역구 의석수를 구간으로 추정하는 방법을 제안하고 그 성능을 모의실험을 통해 알아보았다. 그리고 제19대 총선 출구조사의 실제자료에 적용해 보았다.

• 한국조사연구학회:학술대회논문집
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• 한국조사연구학회 2006년도 춘계학술대회 발표논문집
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• pp.131-159
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• 2006

This paper consider multinomial group testing which is concerned with classification each of N given units into one of k disjoint categories. In this paper, we propose exact Bayesian, approximate Bayesian, bootstrap methods for estimating individual category proportions using the multinomial group testing model proposed by Bar-Lev et al (2005). By the comparison of Mcan Squre Error (MSE), it is shown that the exact Bayesian method has a bettor efficiency and consistency than maximum likelihood method. We suggest an approximate Bayesian approach using Markov Chain Monte Carlo (MCMC) for posterior computation. We derive exact credible intervals based on the exact Bayesian estimators and present confidence intervals using the bootstrap and MCMC. These intervals arc shown to often have better coverage properties and similar mean lengths to maximum likelihood method already available. Furthermore the proposed models are illustrated using data from a HIV blooding test study throughout California, 2000.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제16권2호
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• pp.104-110
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• 2016

Dense local image descriptors like SIFT are fruitful for capturing salient information about image, shown to be successful in various image-related tasks when formed in bag-of-words representation (i.e., histograms). In this paper we consider to utilize these dense local descriptors in the object tracking problem. A notable aspect of our tracker is that instead of adopting a point estimate for the target model, we account for uncertainty in data noise and model incompleteness by maintaining a distribution over plausible candidate models within the Bayesian framework. The target model is also updated adaptively by the principled Bayesian posterior inference, which admits a closed form within our Dirichlet prior modeling. With empirical evaluations on some video datasets, the proposed method is shown to yield more accurate tracking than baseline histogram-based trackers with the same types of features, often being superior to the appearance-based (visual) trackers.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권10호
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• pp.5095-5111
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• 2016

The Probability Hypothesis Density (PHD) filter is a suboptimal approximation and tractable alternative to the multi-target Bayesian filter based on random finite sets. However, the PHD filter fails to track newborn targets when the target birth intensity is unknown prior to tracking. In this paper, a dual detection-guided newborn target intensity PHD algorithm is developed to solve the problem, where two schemes, namely, a newborn target intensity estimation scheme and improved measurement-driven scheme, are proposed. First, the newborn target intensity estimation scheme, consisting of the Dirichlet distribution with the negative exponent parameter and target velocity feature, is used to recursively estimate the target birth intensity. Then, an improved measurement-driven scheme is introduced to reduce the errors of the estimated number of targets and computational load. Simulation results demonstrate that the proposed algorithm can achieve good performance in terms of target states, target number and computational load when the newborn target intensity is not predefined in multi-target tracking systems.

• Journal of applied mathematics & informatics
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• 제12권1_2호
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• pp.81-105
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• 2003

This paper deals with the very interesting problem about the influence of piecewise smooth boundary conditions on the distribution of the eigenvalues of the negative Laplacian in R$^3$. The asymptotic expansion of the trace of the wave operator (equation omitted) for small ｜t｜ and i=√-1, where (equation omitted) are the eigenvalues of the negative Laplacian (equation omitted) in the (x$^1$, x$^2$, x$^3$)-space, is studied for an annular vibrating membrane $\Omega$ in R$^3$together with its smooth inner boundary surface S$_1$and its smooth outer boundary surface S$_2$. In the present paper, a finite number of Dirichlet, Neumann and Robin boundary conditions on the piecewise smooth components (equation omitted)(i = 1,...,m) of S$_1$and on the piecewise smooth components (equation omitted)(i = m +1,...,n) of S$_2$such that S$_1$= (equation omitted) and S$_2$= (equation omitted) are considered. The basic problem is to extract information on the geometry of the annular vibrating membrane $\Omega$ from complete knowledge of its eigenvalues by analysing the asymptotic expansions of the spectral function (equation omitted) for small ｜t｜.

• 한국수산과학회지
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• 제20권6호
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• pp.477-483
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• 1987

조석방정식에 근거한 객관적 방법으로 동해내 반일주조($M_2$조)의 조석도를 자성하였다. 조석도의 작성은 라프라스 조석방정식으로부터 유도된 해면변위 방정식의 해로서 구하였으며, 이때 연안 검조소에서 관측된 해면변위의 진폭과 위상을 경계조건으로 사용하였다. 본 연구에서는 동해의 해저 지형과 조류에 따른 마찰력이 동해의 조석도 분포에 미치는 영향을 구명하였다. 또한, 동해 전역의 조석도의 견과를 기초로 하여, 한반도 동해안 외해의 국지적 영역의 반일주조에 대한 정밀조석도를 작성하였다.

• 융합경영연구
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• 제10권6호
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• pp.1-7
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• 2022

Purpose: The purpose of this study is identifying the research trends of degree papers related to the beauty industry and providing information which can contribute to the development of the domestic beauty industry and the direction of various research about beauty industry. Research design, data and methodology: This study used 154 academic papers and 189 academic papers with English abstracts out of 299 academic papers. All of these papers were found by searching for the keyword "beauty industry" in ScienceON on August 15, 2022. For the analysis, BERTopic and LDA (Latent Dirichlet Allocation) analysis were conducted using Python 3.7. Also, OLS regression analysis was conducted to understand the annual increase and decrease trend of each topic derived with trend analysis. Results: As a result of word frequency analysis, the frequency of satisfaction, management, behavior, and service was found to be high. In addition, it was found that 'service', 'satisfaction' and 'customer' were frequently associated with program and relationship in the word co-occurrence frequency analysis. As a result of topic modeling, six topics were derived: 'Beauty shop', 'Health education', 'Cosmetics', 'Customer satisfaction', 'Beauty education', and 'Beauty business'. The trend analysis result of each topic confirmed that 'Beauty education' and 'Health education' are getting more attention as time goes by. Conclusions: The future studies must resolve the extreme polarization between the structure of the small beauty industry and beauty stores. Furthermore, the researches have to direct various ways to create the performance of internal personnel. The ways to maximize product capabilities such as competitive cosmetics and brands are also needed attentions.