• 간호행정학회지
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• 제9권3호
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• pp.415-427
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• 2003

Purpose: The purpose of this study was to investigate the degree and pattern of knowledge management process, and to identify the relationship between knowledge management process and organizational effectiveness in clinical nurses. Method: Participants were 665 regular clinical nurses who had worked for over 1 year in general units of 9 tertiary medical hospitals including 2 national university hospitals, 5 university hospitals, and 2 hospitals founded by business enterprises. Data were collected from March to May 2003 through questionnaires. Four structured instruments were used to collect the data: Knowledge Management Process Scale(Jeong, Lee, Lee, & Kim, 2003), cCommitment Questionnaire(Mowday, Steers, & Porter, 1979), General Satisfaction Scale(CooK, Hepworth, Wall, & Warr, 1981), and one for general characteristics. The data were analyzed using factor analysis, reliability analysis, descriptive analysis, cluster analysis, one-way ANOVA, Scheffe test, correlation analysis with the SPSS for Windows 10.0 program. Result: 1) The average score for knowledge management process in nurses was $3.08{\pm}.54$ on a 5-point Likert scale. In order from highest mean score, the elements of knowledge management process, were Knowledge $Utilization(3.35{\pm}.57)$, Knowledge $Sharing(3.07{\pm}.58)$, Knowledge $Creation(2.99{\pm}.63)$, and Knowledge $Storage(2.91{\pm}.82)$. 2) Four knowledge management patterns for nurses, which were derived from cluster analysis, were inactivate pattern, delayed pattern, activate pattern, and high-activate pattern of knowledge management. 3) The degree of knowledge management process activation and 4 elements of knowledge management process, Knowledge Creation, Knowledge Storage, Knowledge Sharing, and Knowledge Utilization, were significantly correlated with nurses' organizational commitment and job satisfaction(p=.000). 4) The nurses' organizational commitment and job satisfaction showed significant differences according to the knowledge management patterns derived from cluster analysis of high-activate pattern, activate pattern, delayed pattern, inactivate pattern(p=.000). Conclusion: These results suggest that there are four knowledge management patterns for nurses, and knowledge management process positively affects the nurses' organizational commitment and job satisfaction. From the above findings, knowledge management process is empirically verified as a useful and effective method to increase organizational effectiveness, and develop the organization.

• 한국전산구조공학회논문집
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• 제12권3호
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• pp.457-464
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• 1999

본 논문의 목적은 막구조물의 형상해석, 응력-변형 해석, 재단도 해석을 수행하는 것이고, 재료는 선형탄성, 응력은 평면응력의 상태로 가정한다. 케이블 및 막구조물은 외력에 대한 변형이 매우 큰 구조물이기 때문에 기하비선형을 고려한 비선형해석을 하여야 한다 해석은 일반적인 구조물과는 달리 다음의 3단계로 구성된다. 첫 번째 단계는 초기 평형형상을 결정하기 위한 형상해석이고, 두 번째 단계는 다양한 외력이 가해졌을 때 구조물의 거동을 파악하는 응력-변형 해석이다. 이렇게 하여 일단 만족된 형상이 얻어지면 형상해석에서 얻은 결과를 기초로 하여 시공적 관점의 재단도 해석이 수행된다. 본 논문에서는 서귀포 월드컵 축구 경기장 지붕 구조물의 예를 들어 형상해석, 응력-변형 해석, 재단도 해석을 수행하고, 카테노이드(Catenoid) 구조물을 이용하여 최적재단도에 관한 해석기법을 제시한다.

• 한국의류학회지
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• 제39권3호
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• pp.457-467
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• 2015

The demand for coverall-type protective clothing are increasing in many industrial fields; however, it is impossible to evaluate the wearers' apparel fit because there is no commercialized pattern in the market. This study produces a manual for the process of acquiring patterns by separating PPE products into pieces to provide information on acquiring patterns. The analysis was on coverall-type non woven protective clothing in the domestic market, and 4 panels examined the validity, reliability, and efficiency of various possible methods on each step of process. Five steps were conducted to acquire patterns removing wrinkles, marking seams lines, separating seams, and pattern completing. The process of converting these into pattern files was designed through three procedures of digitizing, editing, and exporting and detailed stages. Fitting tests were undertaken, real patterns by actual modeling and pattern files by virtual modeling; all showed similar forms with outfits wearing ready-made protective coveralls. This study sought the most efficient and objective method of virtual modeling and proposed it as a manual. It is expected for the pattern reverse-designing manual through products analysis presented in this study that would be a helpful addition of information to the pattern tracing of pattern-less clothing products.

• 대한가정학회지
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• 제25권3호
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• pp.27-36
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• 1987

The purpose of this study was to develop a slacks pattern drafting method for the fatty women of 40∼55 aged Korean women who are more than 1.5 Rohrer's index on the basis of their physical characteristics. The study was composed as follows; 1. Body measurement and statistical analysis: One hundred and thirty women between the ages of 40∼55 over 1.5 Rohrer's index were measured on 21 items. Mean, standard deviation, variance, maximum, minimum, range were computed. 2. 4 types of conventional slacks pattern were collected. The most accepted conventional slacks pattern was decided through wearing test. The new pattern was based onthe most accepted conventional pattern, and developed through wearing tests. 3. Evaluation of the new pattern drafting method: The sensory evaluation was applied to evaluate the new pattern by comparing is with the most accepted conventional pattern. According to the statistical analysis of the result of the 12 items, all the items showed significant differences (α 0.01) between the two, with the new pattern having higher scores.

• 복식문화연구
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• 제12권1호
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• pp.59-72
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• 2004

The objectives of this study were to investigate the perceptions of Korean female university students for clothing pattern tendency and structural element of clothing pattern image dimension and to find how individual personality type influence the preferred clothing pattern characteristics. For this study, a questionnaire was designed and sent to 600 female university students of Daejeon, Seoul and metropolitan area. The tool used in this study was MBTI(The Myers-Briggs Type Indicator) Form G Korean version and for the analysis of data SPSS 10.0 package were used. 10 representative patterns for this study were floral, dot, stripe, check, animal, abstract & artistic, geometric, vegetable & leaf, paisely, patchwork pattern. The data were analyzed by factor analysis, arithmetic mean, One-Way ANOVA, x²-test. The major findings were as follows: Clothing pattern image dimension perceived by Korean female university students for 10 representative patterns were basic form, deluxe, specialty, and cultural dimension. Among them, basic form and deluxe dimension were major dimensions. In basic form dimension, dot pattern score was high indicating female students perceive it as light, comfortable, clean, cool and simple pattern image. In deluxe dimension, floral pattern scored high and in specialty dimension, abstract and artistic pattern scored high among other pattern image. In cultural dimension, geometric pattern and check pattern scored high. Based on other detailed analysis results, It is concluded that the personality type greatly influence clothing pattern evaluation. For example, in case of color combination of patchwork pattern, there was a difference in color preference depend on a personality type such as sensing(S) or intuition(N). Therefore, sensing personality type preferred adjacent color combination than contrast color combination. Detailed marketing strategy is necessary in planning textile design of merchandise plan.

• 한국사회복지학
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• 제65권4호
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• pp.195-220
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• 2013

이 연구의 목적은 사회복지사들이 경험한 이직의 맥락과 패턴을 파악하고자 하는 것이다. 이러한 목적을 달성하기 위하여, 연구자들은 7명의 사회복지사들을 대상으로 한 면접을 통해 자료를 수집하고, 수집된 자료를 가지고 맥락-패턴 분석을 실시하였다. 분석과 연구결과는 사례별 맥락-패턴 분석과 전체 사례에 대한 통합 맥락-패턴 분석으로 구성되었다. 개별 사례에 대한 맥락-패턴 분석은 시간(이직 이전/이직 과정/이직 이후) 차원과 수준(경험된 현상/경험의 의미/현상과 의미들이 연결된 맥락) 차원을 교차하여 각 사례의 이직 이전 맥락과 이직 과정의 맥락, 이직 이후의 맥락을 분석하였으며, 전체 과정에서 나타난 패턴을 파악하여 유형화하였다. 또한 각 사례의 맥락과 패턴, 거기에 연결된 현상과 의미들을 통합하여 하나의 맥락-패턴 구조를 구성하였다. 통합된 맥락-패턴 구조는 네 개의 영역들로 구성되었다. 즉, 첫째는 이직 전의 조직, 둘째는 이직 후의 조직, 셋째는 이직 당사자인 사회복지사, 넷째는 사회복지사의 관계망이다. 이러한 연구결과를 토대로 사회복지사의 이직과 관련하여 사회복지조직들이 고려해야 할 사회복지행정의 지침들을 구체적으로 제언하였다.

• Communications for Statistical Applications and Methods
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• 제22권6호
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• pp.589-598
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• 2015

In longitudinal studies missing data are common and require a complicated analysis. There are two popular modeling frameworks, pattern mixture model (PMM) and selection models (SM) to analyze the missing data. We focus on the PMM and we also propose Bayesian pattern mixture models using generalized linear mixed models (GLMMs) for longitudinal binary data. Sensitivity analysis is used under the missing not at random assumption.

• 한국대기환경학회지
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• 제18권1호
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• pp.25-37
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• 2002

The purpose of the study was to survey the distribution patterns of inorganic elements of PM-10 in the various indoor environments and analyze the pollution patterns of aerosol in various places of indoor environment using a pattern recognition method based on cluster analysis and disjoint principal component analysis. A total of 40 samples in the indoor had been collected using mini-vol portable samplers. These samples were analyzed for their 19 bulk inorganic compounds such as B, Na, Mg, Al, K, Ca, Ti, V, Cr, Fe, Ni, Cu, Zn, As, Se, Cd, Ba, Ce, and Pb by using an ICP-MS. By applying a disjoint principal component analysis, four patterns of the indoor air pollutions were distinguished. The first pattern was identified as a group with high concentrations of PM-10, Na, Mg, and Ca. The second pattern was identified as a group with high concentrations B, Mg, At, Ca, Fe, Cu, and Ba. The third pattern was a group of sites with high concentrations of K, Zn. Cd. The fourth pattern was a group with low concentrations PM-10 and all inorganic elements. This methodology was found to be helpful enough to set the criteria standard of indoor air quality, corresponding pollutants, and classification of indoor environment categories when making an indoor air quality law.

• 대한의용생체공학회:의공학회지
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• 제9권1호
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• pp.93-100
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• 1988

The Auto Regressive Parameter Estimation and Pattern Classification of EKG Signal for Automatic Diagnosis. This paper presents the results from pattern discriminant analysis of an AR (auto regressive) model parameter group, which represents the HRV (heart rate variability) that is being considered as time series data. HRV data was extracted using the correct R-point of the EKG wave that was A/D converted from the I/O port both by hardware and software functions. Data number (N) and optimal (P), which were used for analysis, were determined by using Burg's maximum entropy method and Akaike's Information Criteria test. The representative values were extracted from the distribution of the results. In turn, these values were used as the index for determining the range o( pattern discriminant analysis. By carrying out pattern discriminant analysis, the performance of clustering was checked, creating the text pattern, where the clustering was optimum. The analysis results showed first that the HRV data were considered sufficient to ensure the stationarity of the data; next, that the patern discrimimant analysis was able to discriminate even though the optimal order of each syndrome was dissimilar.

• 한국군사과학기술학회지
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• 제17권6호
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• pp.751-763
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• 2014

The paper is written to determine the optimal search pattern through search effects assessment on underwater targets. 5 types of search patterns are introduced such as, M-type pattern, W-type pattern, rectangular pattern, 4-type pattern and square pattern, In addition, Operational effectiveness analysis model is developed to obtain the optimum search pattern. The algorithms and mathematical models are also suggested to analyze the required search times, AUV's movement patterns, moving distances, overlapping areas and so on.