• Communications for Statistical Applications and Methods
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• 제31권3호
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• pp.349-363
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• 2024

Compositional data refers to data where the sum of the values of the components is a constant, hence the sample space is defined as a simplex making it impossible to apply statistical methods developed in the usual Euclidean vector space. A natural approach to overcome this restriction is to consider an appropriate transformation which moves the sample space onto the Euclidean space, and log-ratio typed transformations, such as the additive log-ratio (ALR), the centered log-ratio (CLR) and the isometric log-ratio (ILR) transformations, have been mostly conducted. However, in scenarios with sparsity, where certain components take on exact zero values, these log-ratio type transformations may not be effective. In this work, we mainly suggest an alternative transformation, that is the square-root transformation which moves the original sample space onto the directional space. We compare the square-root transformation with the log-ratio typed transformation by the simulation study and the real data example. In the real data example, we applied both types of transformations to the USG% data obtained from NBA, and used a density based clustering method, DBSCAN (density-based spatial clustering of applications with noise), to show the result.

• Structural Engineering and Mechanics
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• 제28권2호
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• pp.221-238
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• 2008

Numerical solution to buckling analysis of beams and columns are obtained by the method of differential quadrature (DQ) and harmonic differential quadrature (HDQ) for various support conditions considering the variation of flexural rigidity. The solution technique is applied to find the buckling load of fully or partially embedded columns such as piles. A simple semi- inverse method of DQ or HDQ is proposed for determining the flexural rigidities at various sections of non-prismatic column ( pile) partially and fully embedded given the buckling load, buckled shape and sub-grade reaction of the soil. The obtained results are compared with the existing solutions available from other numerical methods and analytical results. In addition, this paper also uses a recently developed technique, known as the differential transformation (DT) to determine the critical buckling load of fully or partially supported heavy prismatic piles as well as fully supported non-prismatic piles. In solving the problem, governing differential equation is converted to algebraic equations using differential transformation methods (DT) which must be solved together with applied boundary conditions. The symbolic programming package, Mathematica is ideally suitable to solve such recursive equations by considering fairly large number of terms.

• ETRI Journal
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• 제34권6호
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• pp.847-857
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• 2012

Intrusion detection systems (IDSs) have an important effect on system defense and security. Recently, most IDS methods have used transformed features, selected features, or original features. Both feature transformation and feature selection have their advantages. Neighborhood component analysis feature transformation and genetic feature selection (NCAGAFS) is proposed in this research. NCAGAFS is based on soft computing and data mining and uses the advantages of both transformation and selection. This method transforms features via neighborhood component analysis and chooses the best features with a classifier based on a genetic feature selection method. This novel approach is verified using the KDD Cup99 dataset, demonstrating higher performances than other well-known methods under various classifiers have demonstrated.

• 품질경영학회지
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• 제50권1호
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• pp.35-42
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• 2022

Purpose: The purpose of this study is to examine the characteristics and problems of existing research through various literature investigations on the existing R&D process. Implications are identified through the investigation of existing studies and the characteristics of the digital transformation era are analyzed. We research and propose a new R&D process suitable for the new era of digital transformation. Methods: The research method investigates various literature precedent studies on the existing R&D process and the methods used by companies. Research new R&D processes that reflect the characteristics of the digital transformation era and develop new related models. Results: In the era of digital transformation, the parallel R&D process is being reorganized to respond quickly to the demands of rapid market changes. In order to respond quickly to various customers, the R&D process can respond flexibly in a parallel structure. Conclusion: Along with the development of the R&D process, additional research on indicators and evaluation models that can evaluate them fairly and flexibly is needed. Further research is needed to determine whether the R&D process suitable for the digital transformation era is operating properly.

• 전자공학회논문지SC
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• 제48권6호
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• pp.8-14
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• 2011

본 연구에서는 불확실 단일 입력 시스템의 경우에 대하여 Utkin 정리의 증명을 제시한다. 소위 두가지의 대각화 방법(Diagonalization Method)이라 불리는 Utkin 정리의 두 변환 방법에 대한 불변 정리를 비교적으로 분명히 증명한다. 슬라이딩모드의 수식 즉 슬라이딩 면은 두가지 대각화 변환에 대하여 변화 없고 두 인가된 제어입력은 같은 이득을 갖는다. 두가지 대각화 방법에 의하여 같은 결과를 얻는다. 설계 예와 시뮬레이션 연구를 통하여 제안된 결과의 효용성을 입증한다.

• 전기학회논문지
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• 제66권11호
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• pp.1612-1619
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• 2017

In this note, a complete proof of Utkin's theorem is presented for SI(single input) uncertain nonlinear systems. The invariance theorem with respect to the two nonlinear transformation methods so called the two diagonalization methods is proved clearly, comparatively, and completely for SI uncertain nonlinear systems. With respect to the sliding surface and control input transformations, the equation of the sliding mode i.e., the sliding surface is invariant, which is proved completely. Through an illustrative example and simulation study, the usefulness of the main results is verified. By means of the two nonlinear transformation methods, the same results can be obtained.

• 한국농공학회지
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• 제32권E호
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• pp.20-32
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• 1990

Abstract This study was conducted to pursue the normalization of frequency distribution by making an approach to the coefficient of skewness to nearly zero through the Box-Cox transformation, to get probable flood flows can be calculated by means of the transformation equation which has been derivated by Box-Cox transformation in the annual maximum series of the applied watersheds. It has been concluded that Box-Cox transfromation is proved to be more efficient than logarithmic, square root and SMEMAX transformation which is based on the trigonometric solution of a right triangle whose three verteces repesent the smallest, median and largest observed values of a population in making the coefficient of skewness nearer to zero. Consequently it is shown that probable flood flows according to the return period based on Box-Cox transformation are closer to the observed data as compared to other methods including SMEMAX transformation and fitted probability distributions such as the three parameter lognormal and the type I extremal distribution for the applied watersheds.

• Journal of Plant Biotechnology
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• 제36권4호
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• pp.344-351
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• 2009

Current status of soybean transformation method in Korera was reviewed with recent publications. Most frequently used method for genetic transformation was Agrobacterium-mediated transformation on cotyledonary node which is most popular method used in foreign country. In addition to this, various methods such as sonicationmediated transformation, in planta transformation, and transformation on meristem tissue of germinating seed, have been tried in Korea, even though their efficiencies on repeatability and stability were relatively low. Based on the promising results developed recently by reviewer, several important considerations for successful soybean transformations were suggested. They are 1) proper genotype screening, 2) targeting transformation on exact point, 3) multiple shoot formation, 4) efficient selection pressure, 5) successful shoot elongation, 6) efficient root formation. These are the basic requirements for stable and highly efficient soybean transformation of Korean soybean.

• 정보처리학회논문지A
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• 제9A권1호
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• pp.37-44
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• 2002

기존의 순차 프로그램에서 병렬성을 추출하는 연구들은 하나의 프로시저 내 변환에 치중되고 있다. 그러나 대부분의 프로그램들은 프로시저간 잠재된 병렬성을 가지고 있다. 본 논문에서는 자료 종속성 제거방법을 이용하여 프로시저 호출을 가진 루프에서 병렬성 추출 방식을 제안한다. 프로시저 호출을 포함하는 루프의 병렬화는 대부분 자료종석거리가 uniform 형태의 코드에서만 연구되었다. 본 논문에서는 자료종속거리가 uniform 코드와 nonuniform 코드에 대해 모두 적용 가능한 프로시저 간 변환 방법을 제시하였으며, 제시된 알고리즘의 성능평가를 위하여 CRAY T3E에서 성능평가하였고, 제시된 방법이 효과적임을 보였다.

• Plant Breeding and Biotechnology
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• 제5권4호
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• pp.269-281
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• 2017

With the continual development of genetically modified (GM) crops, it has become necessary to develop detailed and effective molecular characterization methods to select candidate events from a large pool of transformation events. Relative to traditional molecular analysis methods such as the polymerase chain reaction (PCR) and Southern blot hybridization, next generation sequencing (NGS) technology for whole-genome sequencing of complex crop genomes had proven comparatively useful for in-depth molecular characterization. In this study, four transformation events, including one in Bacillus thuringiensis (Bt)-resistant rice, one in resveratrol-producing rice, and two in beta-carotene-enhanced soybeans, were selected for molecular characterization. To merge NGS analysis and Southern blot-hybridization results, we confirmed the transgene insertion sites, insertion construction, and insertion numbers of these four transformation events. In addition, the read-coverage depth assessed by NGS analysis for inserted genes might provide consistent results in terms of inserted T-DNA numbers in case of complex insertion structures and highly duplicated donor genomes; however, PCR-based methods can produce incorrect conclusions. Our combined method provides an effective and complete analytical approach for whole-genome visual inspection of transformation events that require biosafety assessment.