• Title/Summary/Keyword: 이차분석

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Automatic Generation of Digital Elevation Model from 2D Terrain Map Using Graph-theoretic Algorithms (그래픽이론적 알고리즘들을 이용한 2차원 지형도로 부터 DEM 의 자동생성방법)

  • 구자영
    • Korean Journal of Remote Sensing
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    • v.9 no.2
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    • pp.21-34
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    • 1993
  • Digitalized topographic information is necessary for many areas such as landscape analysis, civil engineering planning and design, and geographic information systems. It can also be used in flight simulator and automatic navigation of unmanned plane if it is stored in computer in relevant format. Topographic information is coded with various symbols including contour lines, and is analyzed by trained personnels. The information should be stored in computer for automatic analysis, but it requires a lot of time and manpower to enter the contours using manual input devices such as digitizing tablet. This paper deals with automatic extraction and reconstruction of 3D topographic information from 2D terrain map. Several algorithms were developed in this work including contour segment finding algorithm and contour segment linking algorithm. The algorithm were tested using real 2D terrain map.

BUGLE93 라이브러리를 이용한 원자로 일차차폐에 대한 차폐해석

  • 박재원;강상호
    • Proceedings of the Korean Nuclear Society Conference
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    • 1996.05a
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    • pp.275-281
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    • 1996
  • ENDF/B-VI 핵단면적자료를 기초로 생성된 BUGLE93$^{[1]}$ 라이브러리를 이용하여 울진 3.4호기 원자로 주변의 콘크리트 일차차폐벽에 대한 방사선차폐해석을 수행하였다. 중성자 및 감마선 수송계산은 일차원 각분할 해석코드인 ANISN-ORNL$^{[2]}$ 을 이용하였다. 또한, 기존의 영광 3.4호기 설계에 이용하였던 CASK$^{[3]}$ 라이브러리를 대체할 경우 예상되는 차폐효과의 변화를 평가하기 위하여 노심으로부터 일차차폐벽 사이의 모든 매질에 대한 중성자 및 감마선속을 계산하고. 계산결과를 비교.분석하여 제시하였다. 중성자선속에 대한 분석결과, BUGLE93을 이용한 계산결과는 원자로용기 내부에서는 CASK를 이용한 결과보다 적은, 보다 현실적인 결과를 제공하지만 일차차폐벽내에서는 CASK를 이용한 결과보다 오히려 큰 선속을 보였다. 그러나 이차감마선에 의한 분석결과는 원자로용기 내부에서의 큰 차이에도 불구하고 일차차폐벽을 통과하면서 두결과가 거의 일치하였다. 이것은 BUGLE93 라이브러리가 노심 및 철성분에 대해서는 증가된 핵단면적을 제공하지만 콘크리트 성분에 대한 핵단면적은 오히려 감소하였기 때문이다. 결론적으로. 최소 7피트 두께의 일차차폐벽 외부에서 중성자선속은 감마선속에 비하여 무시할 수 있을 정도이므로. 원자로 내부영역에서 CASK 라이브러리와는 다른 결과를 보이는 BUGLE93 라이브러리를 원자로 일차차폐벽의 방사선차폐해석에 사용할 경우 기존의 CASK 라이브러리를 이용한 해석결과와 동일한 결과를 보이는 것으로 평가되었다.

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Factors Influencing on Quality of Life in Korean Women with Breast Cancer and Cervical Cancer Using The 7th KNHANES (유방암과 자궁경부암 진단 성인 여성의 삶의 질 영향요인)

  • Yoo, Hyeji
    • Journal of the Korea Convergence Society
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    • v.12 no.5
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    • pp.365-372
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    • 2021
  • This study was conducted to identify the level of quality of life and factors influencing on quality of life in Korean women with breast cancer and cervical cancer. This study was secondary analysis using The seventh Korea National Health and Nutrition Examination Survey (KNHANES). In the result of this study, women with the lower age, higher household income, and higher self-rated health status, had the higher level of quality of life. Following the result, intervention strategies are needed to enhance self-rated health and to improve quality of life in women with lower age and lower household income.

Microstructures and Electrochemical Properties of Si-M (M : Cr, Ni) as Alloy Anode for Li Secondary Batteries (리튬이차전지용 Si-M (M : Cr, Ni) 합금 음극의 미세구조와 전기화학적 특성)

  • Lee, Sung-Hyun;Sung, Jewook;Kim, Sung-Soo
    • Journal of the Korean Electrochemical Society
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    • v.18 no.2
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    • pp.68-74
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    • 2015
  • To compare the microstructure and electrochemical properties between two binary alloys (Cr-Si, Ni-Si), two composition of binary alloys with the same capacity were selected using phase-diagram and prepared by matrix-stabilization method to suppress the volume expansion of Si by inactive-matrix. Master alloys were made by Arc-melting followed by fine structured ribbon sample preparation by Rapid Solidification Process (RSP, Melt-spinning method) under the same conditions. Also powder samples were produced by wet grinding for X-Ray Diffraction (XRD) and electrochemical measurements. As predicted from the phase diagram, only active-Si and inactive-matrix ($CrSi_2$, $NiSi_2$) were detected. The results of Scanning Electron Microscope (SEM) and Transmission Electron Microscopy - Energy Dispersive X-ray Spectroscopy (TEM-EDS) show that Cr-Si alloy has finer microstructure than Ni-Si alloy, which was also predictable through phase diagram. The electrochemical properties related to microstructure were evaluated by coin type full- and half-cells. Separately, self-designed test-cells were used to measure the volume expansion of Si during reaction. Volume expansion of Cr-Si alloy electrode with finer microstructure was suppressed significantly and improved in cycle capability, in comparison Ni-Si alloy with coarse microstructure. From these, we could infer the correlation of microstructure, volume expansion and electrochemical degradation and these properties might be predicted by phase diagram.

Karyotype Analysis in Twelve Species of Pinus Genus (소나무속(屬) 12수종(樹種)의 염색체(染色體) 핵형분석(核型分析)에 관(關)한 연구(硏究))

  • Kim, Su In
    • Journal of Korean Society of Forest Science
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    • v.77 no.1
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    • pp.53-64
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    • 1988
  • The idiogram of pine chromosomes was obtained from the length, the ratio of the long and short arm, and the position of the secondary constriction. The descending order of the long arm was found by analyzing the idiogram for 6 species of hard pines and 5 species of soft pines growing in Korea. The basic chromosome number of the genus Pinus was n=12, of which the ten chromosomes were the M-type showing similar S/L ratio, and the other two short chromosomes were the heterobrachial SM-type and the sub-median centric SM-type. The interspecific identification was able to made by comparing the number and the position of the secondary constriction, and the pattern of descending order of the long arm. The intraspecific variation was also able to be identified by comparing the long arms Descending order among the provenaces. Some differences were found in the chromosomal structures between the hard- and the soft-pines. However, the differences were not apparent as much as those in the morphological characteristics. The results might not be exactly reproducible because of the variable responses of chromosomes depending on concentration of the chemicals, the temperatures and time of the treatments, and the analytical errors during the preparateur preparation.

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Cardiac Magnetic Resonance Imaging Using Multi-physiological Intelligent Trigger System (멀티 생체신호 동기 시스템을 이용한 심장자기공명영상)

  • Park, Jinho;Yoon, Jong-Hyun;Yang, Young-Joong;Ahn, Chang-Beom
    • Investigative Magnetic Resonance Imaging
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    • v.18 no.3
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    • pp.244-252
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    • 2014
  • Purpose : We proposed a multi-physiological signals based real-time intelligent triggering system(MITS) for Cardiac MRI. Induced noise of the system was analyzed. Materials and Methods: MITS makes cardiac MR imaging sequence synchronize to the cardiac motion using ECG, respiratory signal and second order derivative of $SPO_2$signal. Abnormal peaks due to arrhythmia or subject's motion are rejected using the average R-R intervals and R-peak values. Induced eddy currents by gradients switching in cardiac MR imaging are analyzed. The induced eddy currents were removed by hardware and software filters. Results: Cardiac MR images that synchronized to the cardiac and respiratory motion are acquired using MITS successfully without artifacts caused by induced eddy currents of gradient switching or subject's motion or arrhythmia. We showed that the second order derivative of the $SPO_2$ signal can be used as a complement to the ECG signals. Conclusion: The proposed system performs cardiac and respiratory gating with multi-physiological signals in real time. During the cardiac gating, induced noise caused by eddy currents is removed. False triggers due to subject's motion or arrhythmia are rejected. The cardiac MR imaging with free breathing is obtained using MITS.

A Review on 3D Structure Formation, Analysis and Performance Prediction Technique for All-solid-state Electrode and Battery (3차원 전고체 전극 구조체 형성, 분석 및 성능 예측 기술 동향)

  • Park, Joonam;Jin, Dahee;Kim, Dohwan;Bae, Kyung Taek;Lee, Kang Taek;Lee, Yong Min
    • Journal of the Korean Electrochemical Society
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    • v.22 no.4
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    • pp.139-147
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    • 2019
  • Lithium-ion battery (LiB) with high energy density and efficiency has been utilized for the electric vehicle (EV) and energy storage system (ESS) as well as portable devices. However, as explosion accidents have frequently happened till lately, all-solid-state lithium secondary battery (ALSB) began to get in a spotlight because it can secure a very high safety and energy density by substituting flammable organic liquid electrolyte to nonflammable inorganic solid electrolyte. In spite of ALSB's certain merits, it has shown much poorer performance of cells than one of LiB due to some challenges, which have been small or never dealt with in the LiB system. Hence, although plenty of studies made progress to solve them, an approach about design of all-solid-state electrode (ASSE) has been limited on account of difficulty of ALSB's experiments. That is why the virtual 3D structure of an all-solid-state electrode has to be built and used for the prediction of cell performance. In this study, we elucidate how to form the 3D ASSE structure and what to be needed for the simulation of characteristics on ALSB. Furthermore, the ultimate orientation of 3D modeling and simulation for the study of ALSB are briefly suggested.

Relationship of Emotional intelligence, Self-leadership and Professional Quality of Life on Nurses (간호사의 감성지능, 셀프리더십, 전문직 삶의 질과의 관계)

  • Kim, Yo-Na
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.8
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    • pp.531-538
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    • 2019
  • The Purpose of This Study was to Identify The Relation of Emotional Intelligence, Self-leadership, Professional Quality of Life among Clinical Nurses. Participants were 197 Nurses Drawn from a General Hospital in Busan, Ulsan, & Gyungnam. Mean, Standard Deviation, Independent t-test, One way ANOVA and Correlation with SPSS/Win 23.0 Program were Used for Data Analysis. The Mean score Emotional Intelligence was 4.68/7, Self-leadership was 3.35/5. Professional Quality of Life was 2.98/5. Professional Quality of life is Consisted of 3 Subcategories as Compassion Satisfaction, Secondary Traumatic Stress and Burn out. 19.8% of The Participants Reported a High ProQOL (Compassion Satisfaction more than 75%, Burn out less than 25% & Secondary Traumatic Stress less than 25%). Compassion Satisfaction was Positively Correlated Emotional Intelligence and Self-leadership. Burn out was Negatively Correlated Emotional Intelligence and Self-leadership. Emotional Intelligence was Positively Correlated Self-leadership. On the Basis of Result, Program Development are Required to Improve Compassion Satisfaction, Emotional Intelligence and Self-leadership on Clinical Nurses.

Effect of Short Circuit Current Enhancement in Solar Cell by Quantum Well Structure and Quantitative Analysis of Elements Using Secondary Ion Mass Spectrometry (양자우물구조에 의한 태양전지 단락전류 증가 효과와 이차이온 질량분석법에 의한 원소 정량 분석)

  • Kim, Junghwan
    • Applied Chemistry for Engineering
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    • v.30 no.4
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    • pp.499-503
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    • 2019
  • Characteristics of solar cells employing a lattice matched GaInP/GaAs quantum well (QW) structure in a single N-AlGaInP/p-InGaP heterojunction (HJ) were investigated and compared to those of solar cells without QW structure. The epitaxial layers were grown on a p-GaAs substrate with $6^{\circ}$ off the (100) plane toward the <111>A. The heterojunction of solar cell consisted of a 400 nm N-AlGaInP, a 590 nm p-GaInP and 14 periods of a 10 nm GaInP/5 nm GaAs for QW structure and a 800 nm p-GaInP for the HJ structure (control cell). The solar cells were characterized after the anti-reflection coating. The short-circuit current density for $1{\times}1mm^2$ area was $9.61mA/cm^2$ for the solar cell with QW structure while $7.06mA/cm^2$ for HJ control cells. Secondary ion mass spectrometry and external quantum efficiency results suggested that the significant enhancement of $J_{sc}$ and EQE was caused by the suppression of recombination by QW structure.

Prediction of the direction of stock prices by machine learning techniques (기계학습을 활용한 주식 가격의 이동 방향 예측)

  • Kim, Yonghwan;Song, Seongjoo
    • The Korean Journal of Applied Statistics
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    • v.34 no.5
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    • pp.745-760
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    • 2021
  • Prediction of a stock price has been a subject of interest for a long time in financial markets, and thus, many studies have been conducted in various directions. As the efficient market hypothesis introduced in the 1970s acquired supports, it came to be the majority opinion that it was impossible to predict stock prices. However, recent advances in predictive models have led to new attempts to predict the future prices. Here, we summarize past studies on the price prediction by evaluation measures, and predict the direction of stock prices of Samsung Electronics, LG Chem, and NAVER by applying various machine learning models. In addition to widely used technical indicator variables, accounting indicators such as Price Earning Ratio and Price Book-value Ratio and outputs of the hidden Markov Model are used as predictors. From the results of our analysis, we conclude that no models show significantly better accuracy and it is not possible to predict the direction of stock prices with models used. Considering that the models with extra predictors show relatively high test accuracy, we may expect the possibility of a meaningful improvement in prediction accuracy if proper variables that reflect the opinions and sentiments of investors would be utilized.