• 대한간호학회지
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• 제14권2호
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• pp.84-92
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• 1984

This article examined relationships between selected variables, such as demographic background, care, treatment variables, environmental characteristics, and patient's daily behavior and mood change. Relationship were determined between independent variabltherapeutic-rapeutie approach, demographic data, environmental management approach-,and dependent variable-patient's daily behavioral and mood change. 35 patients selected within some criteria in a psychiatric ward, were obserbed during 5 weeks by use of Wyatt's Behavior & Mood Rating Scale ac-cording to the object of the study. At the same time, the frequence of the care and treatment were collected. Criteria for sample selection and independent variables as an influential factor to the patient behavioral change, based on a literature revienw and clinical experiences. Pearson's correlation and multiple regression analysis were used to determine the influfntial factors to the patient behavioral change. Systematic reading (r=.8324), Psychiatrist's individual interview (r=.5764), tranquilizer (r=.3441) and hospitalization processing date (r=.4143) were related with patient's behavioral change. That is these 4 variables can be said to influence to the patient's behavior and mood. A stepwise multiple regression analysis of the effect of the independent varibles of systematic reading, psychintrists individual interview, tranquilizer and hospitalization processing date on the dependent variable, patient's behavioral change was carried out. Systematic reading with on R²of. 69 revealed to be the main influential factor to the patient's behavior and mood change, as the next factor psychiatrist individual interview. A total inclusion of these factors revealed a 73% prediction for the patient's behavior and mood change. But the most influential factor was the interaction of the systematic reading and psychiatrist's individual interview.

• Journal of the Korean Data and Information Science Society
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• 제26권1호
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• pp.261-269
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• 2015

Nowadays the application of change point analysis has been indispensable in a wide range of areas such as quality control, finance, environmetrics, medicine, geographics, and engineering. Identification of times where process changes would help minimize the consequences that might happen afterwards. The main objective of this paper is to compare the change-point detection capabilities of Bayesian estimate and maximum likelihood estimate. We applied Bayesian and maximum likelihood techniques to formulate change points having a step change and multiple number of change points in a Poisson rate. After a signal from c-chart and Poisson cumulative sum control charts have been detected, Monte Carlo simulation has been applied to investigate the performance of Bayesian and maximum likelihood estimation. Change point detection capacities of Bayesian and maximum likelihood estimation techniques have been investigated through simulation. It has been found that the Bayesian estimates outperforms standard control charts well specially when there exists a small to medium size of step change. Moreover, it performs convincingly well in comparison with the maximum like-lihood estimator and remains good choice specially in confidence interval statistical inference.

• 환경영향평가
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• 제12권1호
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• pp.45-54
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• 2003

The purpose of this paper is to examine the trend on the change of the cherry blossom flowering time due to the temperature change by selecting regions that have long periods of cherry blossom flowering time data as cases. With the flowering time data, the distribution of cherry blossom flowering time, time series change and change rate of cherry blossom flowering time were analyzed. Also, the correlation between the cherry blossom flowering time and the temperature was analyzed. The flowering of cherry blossom is earlier in metropolitan areas, and in the east coastal region than the west coastal region. The trend on the change of the cherry blossom flowering time is very similar to change the temperature. The change rate of the cherry blossom flowering time is rising up in the whole regions under study, and is relatively high in metropolitan areas. Especially, the cherry blossom flowering time festinated greatly in Pohang that is one of the heavily industrialized cities. From the analysis of correlation analysis between cherry blossom flowering time and temperature elements, the cherry blossom flowering time is highly related with mean temperature of March, which the month is just before the beginning of flowering.

• 한국농공학회논문집
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• 제49권6호
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• pp.65-76
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• 2007

Studies in landscape ecology have emphasized on the relationship between landscape patterns and shapes. A variety of landscape metrics has been developed so far to quantify landscape structures. Therefore, their developments and widespread applications become possible with the advent of spatial information systems including geographic information systems(GIS) and remote sensing. This study is to grasp the change of land use and landscape ecology indices, and to analyze the change of landscape structure in a part of Gyeonggi-do during 15 years from 1985 to 2000. Green-area distribution maps and agricultural-area distribution maps for the analysis were reconstructed from land cover maps constructed by WAMIS(Water Management Information System). And then, 4 landscape ecology indices(TA, LPI, SHAPE_AM, CAI_MN) for the green-area and 5 landscape ecology indices(TA, PD, LPI, LSI, CAI_MN) for the agricultural-area were selected by using pearson correlation analysis. According to the spatio-temporal change analysis using landscape ecology indices, the green-area fragmentation of Yongin was the most severe of the study area and the agricultural-area fragmentation of Gwangju and Namyangju was more severe than any other regions.

• 한국환경과학회지
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• 제15권4호
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• pp.373-378
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• 2006

The western coast of South Korea is famous for its large and broad tidal lands. Nevertheless, land reclamation, which has been conducted on a large scale, such as Sihwa embankment construction project has accelerated coastal environmental changes in the embankment inland. For monitoring of environmental change, vegetation change detecting of the embankment inland were carried out and field survey data compared with Landsat TM, ETM+, IKONOS, and EOC satellite remotely sensed data. In order to utilize multi-temporal remotely sensed images effectively, all data set with pixel size were analyzed by same geometric correction method. To detect the tidal land vegetation change, the spectral characteristics and spatial resolution of Landsat TM and ETM+ images were analyzed by SMA(spectral mixture analysis). We obtained the 78.96% classification accuracy and Kappa index 0.2376 using March 2000 Landsat data. The SMA(spectral mixture analysis) results were considered with comparing of vegetation seasonal change detection method.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 2006년도 정기 학술대회 논문집
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• pp.1040-1047
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• 2006

Bridges are exposed to constantly changing weather conditions and temperature. The temperature change is induced by a change in atmospheric temperature and solar radiation. Atmospheric temperature change acts on the whole structure. Thus, it is relatively easy to consider in the design. Solar radiation, however, causes un-uniform temperature distribution in the structure, depending on the shape of the structure and its shadows. Un-uniform temperature distribution causes a torsional moment in bridge section and a deformation of bridge. A deformation can make differences of dynamic and static behavior of bridge. In this study, the method for analysis of static and dynamic behavior considering deformation and changes of material properties due to temperature variation was developed. By this method, it is found from dynamic analysis results that the change of frequency in analysis model is similar with test results of public used cable-stayed bridge. When a temperature goes down, a frequency goes up. And it is found that the change of frequency is affected by the change of material properties.

• 한국정보시스템학회지:정보시스템연구
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• 제12권1호
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• pp.19-45
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• 2003

The ERP system comes to existence in the period of change. In other words, the ERP system is adopted to the company with BPR project. In general, the ERP system is introduced to companies as packages rather than in-housing systems. There are several researches in IS literatures which have a conclusion that organizational context affects the performance of ERP system. This study attempts to review the organizational context from the prospective of organizational structure and change management. Regarding the organizational structure, we choose some widely known variables such as the degree of formalization and centralization. For the analysis of change management, we set the variables, which are the most importantly considered, such as the power of CEO's promotion and user participation. The extent of customizing is introduced as moderating variables between the organizational context and the implementation performance. With collected data, we performed the reliability test, the factor analysis and the regression analysis. In summary, the introduction of an information system such as ERP system has a behavioral and organizational impact. The organizational change may breed resistance and opposition and can lead to the failure of the system. Therefore, implementation of the system requires careful change management, active involvement of users and high level of management support.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2003년도 춘계학술대회 논문집
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• pp.1471-1474
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• 2003

The correlation between the object function and the design parameter is shown on this paper by using the characteristic function for tile mixed result of the structure analysis. tile buckling analysis and the table of orthogonal array according to the original crane's dimensional change. About the above two object functions, the effective of design change according to the change of design parameters could be estimated. Also, the crane's weight is reduced up to 20.58 percent maintaining the structural stability according to the thickness of plate.

• 한국지구과학회지
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• 제39권2호
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• pp.193-207
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• 2018

본 연구의 목적은 우리나라에서 수행된 지구과학교육 분야의 개념변화 연구 동향을 분석하여 향후 개념변화 연구의 기초 자료로 제공하는 것이다. 우리나라 지구과학 개념변화 연구의 경향성을 논문의 키워드, 발표 연도, 논문 출처, 연구 목적, 연구 대상, 연구 영역, 연구 방법 측면에서 분석하였다. 연구 대상은 우리나라 지구과학교육의 개념변화연구 논문이 처음 발표된 1989년부터 2017년 7월까지, 총 126편의 지구과학교육의 개념변화 논문이었다. 본 연구의 분석 결과는 다음과 같다. 첫째, 지구과학 개념변화 논문은 '개념변화'라는 용어를 '오개념', '선개념' 보다 더 많이 사용하였다. 둘째, 개념변화 논문은 2000년대에 많은 양적인 성장을 이루었다. 셋째, 개념변화는 석사 학위의 연구주제로 많이 이루어지고 있었다. 넷째, 오개념 조사와 그에 따른 교정을 함께 다룬 연구가 많았고, 오개념 조사로는 자유응답 검사법을, 오개념 교정 방법으로는 인지갈등 수업모형과 CAI 교수전략을 주로 활용하였다. 다섯째, 초등학생 대상 연구가 가장 많이 이루어졌다. 여섯째, 개념변화 연구의 지구과학 영역은 천문과 대기의 비중이 높았다. 마지막으로, 연구 초기에는 양적 분석 방법을 많이 사용하였지만, 2010년대에 들어서는 질적 분석 방법을 많이 사용하였다. 향후 개념변화의 연구 과제로 예비 및 현직 교사 대상의 개념변화 연구, 지질 해양 대기 등 다양한 영역으로의 연구 확대, 오개념 형성원인 파악 및 정의적 요인에 관한 연구 등을 제안하였다.

• Communications for Statistical Applications and Methods
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• 제3권1호
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• pp.207-217
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• 1996

The problem of detecting change with independent data is considered. The asymptotic distribution of the sample change process with the sample Fourier coefficients is shown as a Brownian Bridge process. We suggest to use dynamic statistics such as a sample Brownian Bridge and graphs as statistical animation. Graphs including change PP plots are given by way of illustration with the simulated data.