• Journal of applied mathematics & informatics
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• 제42권5호
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• pp.1007-1023
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• 2024

In this paper we are able to define a standard fractional vector cross product(SFVCP) of two vectors in a Euclidean 3-space where it satisfies all the conditions of geometrical reality. For γ = 1 this definition satisfies the conditions of standard vector cross product(SVCP). The formulae for euclidean norm and fractional triple vector cross product of two vectors with standard fractional vector cross product are presented. Fractional curl and divergence of an electromagnetic vector field are presented using the new definition. All the properties are further supported with particular cases at γ = 0, γ = 1 and examples on standard orthogonal basis in R³. This concept has application in electrodynamics, elastodynamics, fluid flow etc.

• 한국수학교육학회지시리즈B:순수및응용수학
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• 제29권1호
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• pp.103-112
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• 2022

A definition of fractional vector cross product of two vectors in Euclidean 3-space is presented. The formulas for Euclidean norm of the fractional vector cross product of two vectors, and for fractional triple vector cross product are obtained.

• 한국학교수학회논문집
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• 제16권4호
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• pp.841-862
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• 2013

이 연구는 2007 개정 교육과정의 '기하와 벡터' 교과에서 다루어지는 벡터와 내적 개념을 분석하여 그 특징을 기술함으로써 벡터와 내적 개념 지도의 교수학적 시사점을 얻는데 목적을 두었다. 이를 위해 '기하와 벡터' 교육과정에서 다루어지는 벡터와 내적 개념 분석을 위한 세부 관점을 Tall(2002a; Tall, 2004b)과 Watson et al.(2003; Watson, 2002)에 기초하여 5가지로 추출하고, 이렇게 추출된 세부 관점을 토대로 '기하와 벡터' 교육과정 및 교육과정해설서, '기하와 벡터' 교과서 10종 모두에서 다루어지는 벡터와 내적 개념의 특징을 분석하였다. 이로부터 벡터와 내적 개념 형성과 관련된 교육과정상의 이슈를 구체화하였으며 이에 비추어 '기하와 벡터' 교과서에서 벡터 단원의 내용을 전개하는 방식과 관련된 시사점을 논의하였다.

• 대한수학회지
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• 제43권1호
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• pp.133-145
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• 2006

We study Riemannian or pseudo-Riemannian manifolds which admit a closed conformal vector field. Subject to the condition that at each point $p{\in}M^n$ the set of conformal gradient vector fields spans a non-degenerate subspace of TpM, using a warped product structure theorem we give a complete description of the space of conformal vector fields on arbitrary non-Ricci flat Einstein spaces.

• 대한수학회보
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• 제47권5호
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• pp.951-960
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• 2010

We provide the set of left-invariant minimal unit vector fields on the semi-direct product $\mathbb{R}^n\;{\rtimes}_p\mathbb{R}$, where P is a nonsingular diagonal matrix and on the 7 classes of 4-dimensional solvable Lie groups of the form $\mathbb{R}^3\;{\rtimes}_p\mathbb{R}$ which are unimodular and of type (R).

• 대한전기학회논문지:전력기술부문A
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• 제54권6호
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• pp.274-283
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• 2005

This paper presents a new method to derive energy function based on vector product. Using this method, an energy function to consider transfer conductances and capacitors is derived. Then we recommend a voltage collapse criteria to predict the voltage collapse in power systems by using the energy margin derived by the proposed energy function. This energy function is applied to a 2-bus power system reflecting transfer conductances and capacitors. We show that the energy function derived based on vector product can be applied in order to analyze power system stability and the energy margin can be utilized as a criterion of voltage collapse by simulation for the 2-bus system.

• Journal of applied mathematics & informatics
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• 제41권4호
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• pp.811-819
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• 2023

In this research we have used the definition of standard fractional vector cross product to obtain fractional curl and fractional field of a standing wave, a travelling wave, a transverse wave, a vector field in xy plane, a complex vector field and an electric field. Fractional curl and fractional field for a complex order are also discussed. We have supported the study with calculation of impedance at γ = 0, 0 < γ < 1, γ = 1. The formula discussed in this paper are useful for study of polarization, reflection, impedance, boundary conditions where fractional solutions have applications.

• 산업경영시스템학회지
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• 제44권3호
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• pp.117-124
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• 2021

The development of IOT technology and artificial intelligence technology is promoting the smartization of manufacturing system. In this study, data extracted from acceleration sensor and current sensor were obtained through experiments in the cutting process of SKD11, which is widely used as a material for special mold steel, and the amount of tool wear and product surface roughness were measured. SVR (Support Vector Regression) is applied to predict the roughness of the product surface in real time using the obtained data. SVR, a machine learning technique, is widely used for linear and non-linear prediction using the concept of kernel. In particular, by applying GSVQR (Generalized Support Vector Quantile Regression), overestimation, underestimation, and neutral estimation of product surface roughness are performed and compared. Furthermore, surface roughness is predicted using the linear kernel and the RBF kernel. In terms of accuracy, the results of the RBF kernel are better than those of the linear kernel. Since it is difficult to predict the amount of tool wear in real time, the product surface roughness is predicted with acceleration and current data excluding the amount of tool wear. In terms of accuracy, the results of excluding the amount of tool wear were not significantly different from those including the amount of tool wear.

• 한국광학회:학술대회논문집
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• 한국광학회 1990년도 제5회 파동 및 레이저 학술발표회 5th Conference on Waves and lasers 논문집 - 한국광학회
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• pp.102-111
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• 1990

In this thesis, an optical bidirectional inner-product associative memory model using liquid crystal television is proposed and analyzed theoretically and realized experimentally. The LCTV is used as a SLM(spatial light modulator), which is more practical than conventional SLMs, to produce image vector in terms of computer and CCD camera. Memory and input vectors are recorded into each LCTV through the video input connectors of it by using the image board. Two multi-focus hololenses are constructed in order to perform optical inner-product process. In forward process, the analog values of inner-products are measured by photodetectors and are converted to digital values which are enable to control the weighting values of the stored vectors by changing the gray levels of the pixels of the LCTV. In backward process, changed stored vectors are used to produce output image vector which is used again for input vector after thresholding. After some iterations, one of the stored vectors is retrieved which is most similar to input vector in other words, has the nearest hamming distance. The experimental results show that the proposed inner-product associative memory model can be realized optically and coincide well with the computer simulation.

• 대한수학교육학회지:학교수학
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• 제10권4호
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• pp.573-581
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• 2008

학교기하에서는 논증기하, 해석기하, 벡터기하 등의 다양한 접근을 다루고 있는데, 특히 이러한 유클리드 기하에 대한 다양한 접근 사이의 연결성은 기하학적 방법과 대수적 방법의 연 결성으로 볼 수 있다. 본 연구는 교과지식의 측면에서, 논증기하증명에서 벡터와 내적의 대수적 성질의 의미를 분석함으로서 학교 수학에서 기하학적 증명과 벡터와 내적을 이용한 대수적 증명의 연결성에 대하여 고찰하였다.