• 마이크로전자및패키징학회지
• /
• 제29권1호
• /
• pp.67-70
• /
• 2022

본 연구는 최근 유행하고 있는 코로나 바이러스(SARS-CoV-2) UV 살균을 위한 1차원 광자 준결정 구조 개념의 광학 필터를 설계하고 시뮬레이션 하였다. 시뮬레이터는 수치해석 프로그램으로 사용되는 MATLAB 프로그램과 직접 코딩한 연산수식을 사용하였다. 비주기(복합구조) 다중층 구조 모델을 설계한 후, 특성 계산을 위하여 다중층 구조 모델의 물성치를 천이 행렬법(TMM, Transfer Matrix Method)으로 설정하였다. 설계된 복합 다중층 구조의 MATLAB을 활용한 전산모사법을 통하여 얻은 행렬값으로부터 반사도와 투과도를 계산하였다. 이 연구의 결과로 인체에 무해하면서 코로나 바이러스 UV 살균이 가능한 253.7 nm 파장만을 투과하는 광학 필터의 제작 및 응용 가능성을 증명하였다.

• Asia pacific journal of information systems
• /
• 제9권1호
• /
• pp.17-38
• /
• 1999

While the value of information technology has long been a hot issue, few solid results have been found as of yet. It is partly due to methodological factors and model underspecifcation. This study empirically develops a ITS(information technology structure) taxonomy and investigates the relationships between ITS taxonomy and business performance in the Korean firms. Among factors that impact business performance, organization structure and control system are selected and they are hypothesized to moderate-the relationships between ITS taxonomy and business performance. By surveying 91 manufacturing firms and applying hierarchical cluster analysis, four ITS are identified : centralized, decentralized, centralized cooperative, decentralized cooperative. ANOVA, correlation analysis and crosstable analysis say the presence of moderating effect of organization structure and control system. Cooperative ITS is best in business performance. Centralized ITS is related to functional organizational form. Decentralized ITS is related to product organizational form with decentralized decision making, Centralized cooperative ITS is related to matrix organizational form. Decentralized cooperative ITS is related to matrix organizational form with high integration. These findings have implications for the opportunities and challenges to match information technology with organization structure and control system.

• Communications for Statistical Applications and Methods
• /
• 제28권3호
• /
• pp.233-250
• /
• 2021

This paper studies if the accuracies of mortality models (LC model vs. 4-parametric model) are aggravated if a mortality structure changes due to the impact of COVID-19. LC model (LCM) uses dimension reduction for fitting to the log mortality matrix so that the performance of the dimension reduction method may not be good when the matrix structure changes. On the other hand, 4-parametric factor model (4-PFM) is designed to use factors for fitting to log mortality data by age groups so that it would be less affected by the change of the mortality structure. In fact, the forecast accuracies of LCM are better than those of 4-PFM when life-tables are used whereas those of 4-PFM are better when the mortality structure changes. Thus this result shows that 4-PFM is more reliable in performance to the structural changes of the mortality. To support the accuracy changes of LCM the functional aspect is explained by computing eigenvalues produced by singular vector decomposition

• 한국수학교육학회지시리즈B:순수및응용수학
• /
• 제11권1호
• /
• pp.73-88
• /
• 2004

A punctured torus $\Sigma(1,1)$ is a building block of oriented surfaces. The goal of this paper is to formulate the matrix presentations of elements of the Teichmuller space of a punctured torus. Let $\cal{C}$ be a matrix presentation of the boundary component of $\Sigma(1,1)$.In the level of the matrix group $\mathbb{SL}$($\mathbb2,R$) we shall show that the trace of $\cal{C}$ is always negative.

• 한국자기공명학회:학술대회논문집
• /
• 한국자기공명학회 1999년도 동계총회 및 제14회 자기공명 학술발표회
• /
• pp.23-23
• /
• 1999

• 대한수학회지
• /
• 제42권3호
• /
• pp.555-571
• /
• 2005

A pair of pants $\Sigma(0,3)$ is a building block of oriented surfaces. The purpose of this paper is to formulate the matrix presentations of elements of the Teichmuller space of a pair of pants. In the level of the matrix group $SL(2,\mathbb{R})$, we shall show that an odd number of traces of matrix presentations of the generators of the fundamental group of $\Sigma(0,3)$ should be negative.

• Structural Engineering and Mechanics
• /
• 제20권1호
• /
• pp.111-121
• /
• 2005

The dynamic interaction of vehicle-bridge is studied by using transfer matrix method in this paper. The vehicle model is simplified as a spring-damping-mass system. By adopting the idea of Newmark-${\beta}$ method, the partial differential equation of structure vibration is transformed into a differential equation irrelevant to time. Then, this differential equation is solved by transfer matrix method. The prospective application of this method in real engineering is finally demonstrated by several examples.

• 한국통신학회논문지
• /
• 제22권11호
• /
• pp.2512-2520
• /
• 1997

The classes of Reverse Jacket matrix [RJ]$_{N}$ and the corresponding Restclass Reverse Jacket matrix ([RRJ]$_{N}$) are defined;the main property of [RJ]$_{N}$ is that the inverse matrices of them can be obtained very easily and have a special structure. [RJ]$_{N}$ is derived from the weighted hadamard Transform corresponding to hadamard matrix [H]$_{N}$ and a basic symmertric matrix D. the classes of [RJ]$_{2}$ can be used as a generalize Quincunx subsampling matrix and serveral polygonal subsampling matrices. In this paper, we will present in particular the systematical block-wise extending-method for {RJ]$_{N}$. We have deduced a new orthorgonal matrix $M_{1}$.mem.[RRJ]$_{N}$ from a nonorthogonal matrix $M_{O}$.mem.[RJ]$_{N}$. These matrices can be used to develop efficient algorithms in IMT2000 signal processing, multidimensional subsampling, spectrum analyzers, and signal screamblers, as well as in speech and image signal processing.gnal processing.g.

• 전자공학회논문지
• /
• 제51권5호
• /
• pp.3-10
• /
• 2014

본 논문에서는 기존 Toeplitz행렬(matrix)과 블록 순환(block circulant)행렬에 대해 검토하고, 새로운 순환 Hadamard 행렬을 제안했다. 제안한 순환 Hadamard 행렬은 +1과 -1로 구성되나 구조가 기존 Hadamard 행렬과는 다르다. 고속 알고리즘을 통해 원래의 계산량을 $Nlog_2N$개의 덧셈으로 줄일 수 있다. 이 행렬은 Massive MIMO 채널 추정 및 FIR 필터 설계, 신호처리 등에 응용이 가능하다.

• 제어로봇시스템학회논문지
• /
• 제10권5호
• /
• pp.415-420
• /
• 2004

We present a new algorithm for the calibration of a camera and the recovery of 3D scene structure up to a scale from image sequences using known angles between lines in the scene. Traditional method for calibration using scene constraints requires various scene constraints due to the stratified approach. Proposed method requires only one type of scene constraint of known angle and also it directly recovers metric structure up to an unknown scale from projective structure. Specifically, we recover the matrix that is the homography between the projective structure and the Euclidean structure using angles. Since this matrix is a unique one in the given set of image sequences, we can easily deal with the problem of varying intrinsic parameters of the camera. Experimental results on the synthetic and real images demonstrate the feasibility of the proposed algorithm.