• Journal of Korean Public Health Nursing
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• v.19 no.2
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• pp.371-381
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• 2005

Purpose: The purpose of the study was to develop the day care program for the demented elders and to determine the effects of multiple activity therapies on the physical, emotional, cognitive, social function and physiological indicators of dementia elders in day care center. Method: A total of 13 elders with mild dementia in the data care center were participated. Manual and guideline of data care program was developed. Data care program was composed of movement/exercise, foot massage, music therapy, horticultural therapy, and art therapy. Data care program was performed by trained intervener for 32 weeks. Instruments were physical functioning such as hand grip strength., vital capacity, chiar stand test, sit and reach test, one leg standing, Berg' Balance scale, 6m Walk Velocity, stair climb, ADL, GDS-K, MMSE-K, Integrative Social Functioning Scale, cortisol, Ig A and Ig G. These were measured at the baseline, 16-week, and 32-week post-intervention by the trained nurses. Data were analyzed as Wilcoxon signed rank test. Results: For Hand grip, balance, and vital capacity, there was a significant difference between baseline and 16-week post-intervention(p<.05). For one leg standing, 6m velocity, there was a significant difference between 16-week post-intervention and 32-week post-intervention(p<.05). For Stair climb, there was a significant difference between baseline and 32-week post-intervention(p<.05). For depression and social functioning, there was no significant difference among baseline, 16-week, and 32-week post-intervention. For cognitive functioning, there was a significant difference between baseline and 32-week post intervention(p<.05). There was a significant difference of cortisol, and Ig G between baseline and 32-week post-intervention(p<.05). Conclusion: It would appear that physical fitness, functional performance, ADL, depression, social and cognitive functioning, and physiological indicator of community dwelling elders with dementia can be improved through day care program using multiple stimuli.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2002.05a
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• pp.719-722
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• 2002

Cylindrical cam mechanisms are used commonly in many automatic machinery. But the cylindrical cam is very difficult to design and manufacture the shape. The motion analysis of the cylindrical cam can check the accuracy between designed data and manufactured data of the cam shape and can reproduce without the cam design data. The motion analysis of the cylindrical cam consists of displacement analysis, velocity analysis and acceleration analysis. This paper performs the motion analysis of a cylindrical cam with translating follower by using a relative velocity method and a central difference method. The displacement is calculated by using the central difference method and the velocity is calculated by the relative velocity method. The relative velocity method is defined by the relative motion between follower and cam at a center of a follower roller. The central difference method is derived in the 3 dimensional space.

• Journal of Oral Medicine and Pain
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• v.19 no.2
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• pp.47-55
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• 1994

To investigate the reliability and reproducibility of the computerized cephalometric analysis system, se compared the differences of the 10 linear and 13 angular measurements by manual works and the use of computerized cephalometric analysis system. We obtained as follows : 1. There was not significant difference between maean values of 22 manual and computerized measurements. 2. There was not significant difference between mean differences of manual and computerized cephalometric analysis data taken by same examiner except facial depth, facial length and posterior facial height. 3. There was not significant difference between mean differences of two trials of the computerized cephalometric analysis data by same examiner in all measurements. 4. There was not significant difference between mean differences of the computerized cephalometric analysis data by two examiners except FMIA and IMPA. According to this result, we guess the use of computerized cephalometric analysis system is useful on diagnosis and treatment planning of othodontic patients.

• Journal of the Korean Data and Information Science Society
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• v.22 no.3
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• pp.505-513
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• 2011

In this paper, we obtain the derivations of moments of discrete probability distributions by using the backward difference operators. Also, we presents such derivations for several well-known distributions; they are the binomial, Poisson, geometric, hypergeometric and negative hypergeometric distributions.

• Textile Coloration and Finishing
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• v.17 no.2 s.81
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• pp.19-25
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• 2005

A colour-difference formulae would be based on a colour appearance model, but, So far, most colour-difference formulae in common use are based on empirical fits to data. Therefore, of the many proposed, none are completely satisfactory but advances have been made in recent years. A new color-difference data set has been produced with the aims of making a comparison of the advanced CIE Lab formulae as well as confirming the effect of color-difference. 416 low lightness pairs that have only lightness-difference were produced for evaluation of CIE Lab-based formulae on lightness-difference from glossy polyester fabric. The standard color-difference pair was prepared and used. It was neutral grey sample pair that has only lightness difference. The standard pair was used to investigate lightness tolerances. And grey-scale method used to evaluate visual assessment. CIE Lab coordinates of the samples were measured using a X-Rite 8200 spectrophotometer. Visual assessments were carried out using Gretag Macbeth The Judge II Light Booth. A study of color tolerances at low lightness was carried out and get avaliable some results.

• Journal of Industrial Technology
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• v.28 no.B
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• pp.101-109
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• 2008

In general, non-stationary or chaos time series forecasting is very difficult since there exists a drift and/or nonlinearities in them. To overcome this situation, we suggest a new prediction method based on multiple model TS fuzzy predictors combined with preprocessing of time series data, where, instead of time series data, the differences of them are applied to predictors as input. In preprocessing procedure, the candidates of optimal difference interval are determined by using con-elation analysis and corresponding difference data are generated. And then, for each of them, TS fuzzy predictor is constructed by using k-means clustering algorithm and least squares method. Finally, the best predictor which minimizes the performance index is selected and it works on hereafter for prediction. Computer simulation is performed to show the effectiveness and usefulness of our method.

• Journal of Environmental Science International
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• v.13 no.10
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• pp.891-902
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• 2004

In order to predict air pollution and Yellow-sand dispersion precisely, it is necessary to clarify the sensitivity of meteorological field input interval. Therefore numerical experiment by atmospheric dynamic model(RAMS) and atmospheric dispersion model(PDAS) was performed for evaluating the effect of temporal and spatial resolution of meteorological data on particle dispersion. The results are as follows: 1) Base on the result of RAMS simulation, surface wind direction and speed can either synchronize upper wind or not. If surface wind and upper wind do not synchronize, precise prediction of Yellow-sand dispersion is strongly associated with upwelling process of sand of particle. 2) There is no significant discrepance in distribution of particle under usage of difference temporal resolution of meteorological information at early time of simulation, but the difference of distribution of particles become large as time goes by. 3) There is little difference between calculated particles distributions in dispersion experiments with high temporal resolution of meteorological data. On the other hand, low resolution of meteorological data occur the quantitative difference of particle density and there is strong tendency to the quantitative difference.

• Journal of Environmental Science International
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• v.31 no.12
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• pp.999-1012
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• 2022

To investigate the reason for the spatial difference in PM_2.5 (Particulate Matter, < 2.5 ㎛) concentration despite a similar synoptic pattern, a synoptic analysis was performed. The data used for this study were the daily average PM_2.5 concentration and meteorological data observed from 2016 to 2020 in Busan and Seoul metropolitan areas. Synoptic pressure patterns associated with high PM_2.5 concentration episodes (greater than 35 ㎍/m³) were analyzed using K-means cluster analysis, based on the 900 hPa geopotential height of NCEP (National Centers for Environmental Prediction) FNL (Final analysis) data. The analysis identified three sub-groups related to high concentrations occurring only in Busan and Seoul metropolitan areas. Although the synoptic patterns of high PM_2.5 concentration episodes that occur independently in Busan and Seoul metropolitan areas were similar, there was a difference in the intensity of pressure gradient and its direction, which tends to be an important factor determining the movement time of pollutants. The spatial difference in PM_2.5 concentration in the Korean Peninsula is due to the difference and direction of the atmospheric pressure gradient that develops from southwest to northeast direction.

• Journal of Industrial Technology
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• v.30 no.A
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• pp.111-117
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• 2010

To improve the performance of the prediction system, the system should reflect well the uncertainty of nonlinear data. Thus, this paper presents multiple prediction systems based on Type-2 fuzzy sets. To construct each prediction system, an Interval Type-2 TSK Fuzzy Logic System and difference data were used, because, in general, it has been known that the Type-2 Fuzzy Logic System can deal with the uncertainty of nonlinear data better than the Type-1 Fuzzy Logic System, and the difference data can provide more steady information than that of original data. Also, to improve each rule base of the fuzzy prediction systems, the HCBKA (Hierarchical Correlation Based K-means clustering Algorithm) was applied because it can consider correlationship and statistical characteristics between data at a time. Subsequently, to alleviate complexity of the proposed prediction system, a system selection method was used. Finally, this paper analyzed and compared the performances between the Type-1 prediction system and the Interval Type-2 prediction system using simulations of three typical time series examples.

• Journal of Korean Academy of Nursing
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• v.6 no.2
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• pp.1-9
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• 1976

Presently, there is increasing demand for geriatric nursing care because of increasing preparation of elderly population due to extended age. Of particular importance in determining the effectiveness of nursing care given to the elderly is the attitude of the nurse toward the elderly patient. Knowledge of the various changes that usually occur with aging will enable the nurse to help an aged Person maximize his potential in illness and in health. The objectives of this study were : 1. To delineate the attitudes of nurses toward the geriatric nursing care. 2. To learn the influencing factors affecting the attitudes of nurses toward the geriatric nursing care. The study population defined and randomly selected is 225 nurses at one general hospital, one private hospital, two national hospitals in Seoul during the period of October l0th -20th, 1975. The questionnaire method was used. Respondents were 140 nurses. X$^2$- test and t- test were employed in analyzing the data. The questionnaire form included 54 statements which concerned the attitudes of nurses to-ward geriatric nursing care. It was divided into five areas : 1) General characteristics of study population. 2) The nurse's concepts of elderly. 3) Care of the geriatric patient. 4) Interpersonal relationship with geriatric patient. 5) Teaching of the geriatric patient. Each of the 54 statements of the questionnaire was considered to be either Positive or Negative. A Positive response was assigned the value of＋1 , and a Negative response or no response was assigned the value of O. The results of the study were as follows : 1. The Investigation of attitudes of nurses toward geriatric nursing care. a. Data indicated , respondents have negative attitudes in their. concepts of elderly (74.3%) b. Data indicated respondents have positive attitudes in care of geriatric patient (64.3%). c. Data indicated respondents have positive attitudes in interpersonal relationship with geriatric patient (85% ). 4. Data indicated respondents have positive attitudes in teaching of geriatric patient (89.3%). 2. The results of study regarding the five hypothesis were as follows : a There was significant difference in the mean scores between the attitudes of nurses toward the geriatric nursing care and level of education of the nurse. b. There was no significant difference between the attitudes of nurses toward the geriatric nursing care and clinical experience, but there was significant difference between care of the geriatric patient and clinical experience. c. There was no significant difference between the attitudes of nurses toward the geriatric nursing care and shift most frequently worked, but there was significant difference between care of the geriatric patient and shift most frequently worked. d. There was no significant difference in the mean scores between the attitudes of nurses toward the geriatric nursing care and marital status, but there was significant difference in the mean scores between interpersonal relationship, teaching of geriatric patient and marital status. e, There was no significant difference in the mean scores between the attitudes of nurses toward the geriatric nursing care and experience with elderly, but there was significant difference in the mean scores between care of geriatric patient and experience with elderly.