• Journal of Korean Academy of Nursing
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• v.16 no.3
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• pp.31-37
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• 1986

The purpose of this study is to develop a ratio scale measuring organizational charateristics in nursing. 599 staff nurses working at 10 educational hospitals in Seoul were participated during the period from July 1 to July 31, 1985. Subjects were instructed to rate at one to five points likert type scale according to the level of positive characteristics affecting the nursing organizational effectiveness. As a result of factor analysis given to 50 items with varimax rotation and rearrangement on the asis of factor loading 0.3, there are 4 factors consisted of 33 items presented: factor 1 : leadership of head nurses and interaction(11 items) factor 2 : leadership of supervisors and top managers(11 items) factor 3 : interaction with supervisors(5 items) factor 4 : organizational climate(6 items) Reliability of the factors were tested by Cronbach's Alpha, and the result was α=0.67∼0.84 Further studies are needed to identify the relationship between this tool and the effectiveness of various organization in nursing.

• Journal of Korean Society for Quality Management
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• v.30 no.2
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• pp.118-129
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• 2002

A multiple test of a mean parameter, λ, in the Poisson model is considered using the Bayes factor. Under noninformative improper priors, the intrinsic Bayes factor(IBF) of Berger and Pericchi(1996) and the fractional Bayes factor(FBF) of O'Hagan(1995) called as the default or automatic Bayes factors are used to select one among three models, M$_1$: λ< $λ_0, M$_2$: λ= $λ_0, M$_3$: λ> $λ_0. Posterior probability of each competitive model is computed using the default Bayes factors. Finally, theoretical results are applied to simulated data and real data.

• Asia pacific journal of information systems
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• v.11 no.2
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• pp.205-221
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• 2001

The previous BPR success factor research assumes that a success factor is responsible for both the success and failure of the BPR implementation. This paper proposes that a BPR success factor is not necessarily a failure factor, i.e., success and failure of BPR implementation are two distinct phenomena that possess different sets of causal factors. The paper also proposes that the factors are different in terms of the degree and type of influence they exert on the BPR implementation. An empirical research was conducted to validate the propositions. The research results indicate that the BPR success and failure have different causal factor sets, and that the factor influence manifests in different realms and domains. The implications of the research are discussed at the end.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.1
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• pp.182-188
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• 2004

The purpose of the study was to provide scientific and accurate data of head shape for men. This study was carried out on 214 men and Factor analysis, Cluster analysis, Duncan analysis with 15 variables were performed using the data. A 3D scanner was used for visual results of head shape. The results were as follows. First, through factor analysis of the variables, three factors were extracted upon factor scores. The first factor described thickness part, and second factor described width parts and the third factor described vertical length parts. Four clusters represented characteristics of men's head types. Type 1 had a larger head thickness, type 2 had a smaller thickness and smaller width. type 4 had a generally larger head. In the distribution of the four clusters, type 1 was distributed 34%. Type 4 was distributed 23%. According to the results, type 1 of the more thick and narrow head was dominant among head types of men.

• Journal of Korean Society for Atmospheric Environment
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• v.6 no.2
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• pp.155-160
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• 1990

During the period from Mar. 1985 to Feb. 1988, airborne particulate matters were collected and size fractionated by the ANdersen high volume air sampler in Seoul. The concentrations of several heavy metals (Pb, Cu, Zn, Fe, Mn) and benzo(a)pyrene were determined to investigate the size distributions and seasonal variations. And with respect to seven components in the total suspended particulate (TSP), the factor analysis was performed for three groups such as the coarse particles (> 2 $\mu$m), fine particles (< $\mu$m) and TSP. As a result of factor analysis by using the varimax method, the chemical components in the TSP were able to characterize with two principal factors. The first factor, F1 was considered to be a factor indicating the contribution of natural sources and the second factor, F2 was a factor indicating the degree of artificial sources. Each components in the TSP was divided into two main groups of components originated from soil and/or road dust and pollutants originated from automobiles and/or human work.

• Proceedings of the KIEE Conference
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• 1999.07a
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• pp.388-390
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• 1999

This paper discusses an optimal design of high space factor BLDC motor. Because of high space factor BLDC, Nonliear finite element method considering saturation of outer-rotor is used. For optimal design, a new niching genetic algorithm, namely "Restricted Competitions Selection" is used. This algorithm constructs an objective function using only the most important criteria and provides a designer with a set of solution rather than one solution. To verify its effectiveness, the new niching genetic algorithm is applied to an actual high space factor BLDC motor We show that a new designed high space factor BLDC motor is superior to the actual high space factor BLDC.

• Microbiology and Biotechnology Letters
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• v.23 no.3
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• pp.316-321
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• 1995

Some properties of $\beta$-1, 3-glucan synthase system in Saccharamyces cerevisiae were investigated. By extraction with detergent and salt, the membrane preparations could be dissociated into two components, one soluble, the other still membrane bound. Both components, in addition to GTP, were necessary for the activity of $\beta$-1, 3-glucan synthase like other fungi. The protective effect of guanosine nucleotides on the soluble factor pointed to the possibility that this fraction contained a GTP-binding protein. Addition of increasing amounts of soluble factor to a constant amount of insoluble catalytic factor, vice versa, gave rise to a saturation curve. These results, including different types of evidence, indicate that the soluble factor and the catalytic factor form a complex.

• Journal of Korean Academy of Nursing
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• v.32 no.3
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• pp.395-405
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• 2002

The purpose of this study was to develop the instrument to measure family functioning for Korean family with a chronic ill child, and to test the validity and reliability of the instrument. Method: The items of instrument were consisted based on researchers' previous study of concept analysis of the Korean family functioning. Twenty six item scale was developed with six domains. In order to test reliability and validity of the scale, data were collected from the 231 families, who have a child with a chronic illness. Data was collected between August and September in 2001 in a General Hospital in Seoul, Korea. Result: The results were as follows: As a result of the item analysis, 24 items were selected from the total of 26 items, excluding items with low correlation with total scale. Six factors were evolved by factor analysis. Six factors explained 61.4% of the total variance. The first factor 'Affective bonding' explained 15.4%, 2nd factor 'External relationship' 11.8%, 3rd factor 'Family norm' 10.5%, 4th factor 'Role and responsibilities' 8.3%, 5th factor ' Communication' 7.9%, and the 6th factor 'Financial resource' explained 7.3%. Cronbach's $\alpha$ coefficient of this scale was .87 and Guttman spilt- half coefficient was .84. Conclusion: The study support the reliability and validity of the scale. There were distinct differences in dimensions of family functioning scales developed in the U. S.

• Korean Institute of Interior Design Journal
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• no.26
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• pp.57-63
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• 2001

The aim of this study is to measure sensitivity reaction of human being with a physical properties of color and average size of particle for building materials and predict the influence of color and average size of particle in evaluation of building materials. As a results, 1) In results of qualitative evaluation construction, all 16 adjectives were extracted by higher evaluation items and ,total 14 adjectives were extracted as evaluation adjectives except adjectives of a contrary concept in each other. 2) According to the result of factor analysis, all 4 group of $\ulcirner$potency$\lrcirner$, $\ulcirner$activity$\lrcirner$, $\ulcirner$evaluation$\lrcirner$, $\ulcirner$warmness$\lrcirner$ were extracted. In this time, $\ulcirner$potency$\lrcirner$ as the first factor indicates the most hign original value. Consequently, $\ulcirner$potency$\lrcirner$ factor have an hign influence in evaluation of building materials. 3) As a influence analysis of evaluation variable by evaluation item $\ulcirner$potency$\lrcirner$ factor have an high influence by influence of average size of a particle, $\ulcirner$activity$\lrcirner$ factor have influence hignly by influence of brightness, $\ulcirner$evaluation$\lrcirner$ factor have an hign influence by influence of average site of a particle and the hue, $\ulcirner$warmness$\lrcirner$ factor have an hign influence mainly by influence of the hue

• Journal of Korea Society of Digital Industry and Information Management
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• v.10 no.3
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• pp.237-247
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• 2014

This paper describes a 2D discrete-time wavelet transform for which the Q-factor is easily specified. Hence, the transform can be tuned according to the oscillatory behavior of the image signal to which it is applied. The tunable Q-factor wavelet transform (TQWT) is a fully-discrete wavelet transform for which the Q-factor, Q, of the underlying wavelet and the asymptotic redundancy (over-sampling rate), r, of the transform are easily and independently specified. In particular, the specified parameters Q and r can be real-valued. Therefore, by tuning Q, the oscillatory behavior of the wavelet can be chosen to match the oscillatory behavior of the signal of interest, so as to enhance the sparsity of a sparse signal representation. The TQWT is well suited to fast algorithms for sparsity-based inverse problems because it is a Parseval frame, easily invertible, and can be efficiently implemented. The TQWT can also be used as an easily-invertible discrete approximation of the continuous wavelet transform. The transform is based on a real valued scaling factor (dilation-factor) and is implemented using a perfect reconstruction over-sampled filter bank with real-valued sampling factors. The transform is parameterized by its Q-factor and its oversampling rate (redundancy), with modest oversampling rates (e. g. 3-4 times overcomplete) being sufficient for the analysis/synthesis functions to be well localized. Therefore, This method services good performance in image processing fields.