• 한국생물공학회:학술대회논문집
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• 2000.04a
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• pp.177-180
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• 2000

An algorithm for modeling of yeast fermentation process using genetic-fuzzy algorithm is presented in this work. The algorithm involves developing the fuzzy modeling of the process and model update capability against the system change. The membership functions of state variables and specific rates and the decision table were generated using genetic algorithm. This algorithm could replace the complex mathematical model to simple fuzzy model and cope with the change of process characteristics well.

• Journal of the Korean Society of Radiology
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• v.3 no.4
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• pp.5-12
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• 2009

Arterial blood from the heart chonggyeong passed directly to the cerebral arteries and the blood circulation is important, especially in arteries that prevent blood flow there are several variables. Among the variables the average flow velocity, pulse index, and blood flow resistance and which variables, double maekbakjisuna systolic and diastolic blood flow resistance index at the maximum rate and blood pressure associated with this because they are important variables, The change of variables such as speed noehyeolryu There are observations about the non-invasive ultrasound measurements using Doppler noehyeolryu uses. Up to 20 men in the exercise of noeroganeun hyeolryuin chonggyeong arteries to increase blood flow rates can be found.

• Women's Health Nursing
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• v.10 no.3
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• pp.218-225
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• 2004

Purpose: The study was performed to identify exercise self-efficacy, depression, and stress by the stage of change in exercise behavior in middle aged women. Method: The subjects consisted of 317 women residing in B city by convenience sampling. The collected data was analyzed by the SPSS/WIN program. Result: The subjects were distributed in each stage of exercise behavior change: There were 53 subjects in the pre-contemplation stage, 86 subjects in the contemplation stage, 88 subjects in the preparation stage, 51 subjects in the action stage and 39 subjects in the maintenance stage. Analysis of variance showed that exercise self-efficacy (F=39.9, p<.001), depression (F=5.58, p<.001), and stress (F=6.33, p<.001) were significantly associated with the stages of exercise behavior change. There was a significant negative correlation between the stage of change and depression, and the stage of change and stress, but a significant positive correlation between the stage of change and self- efficacy, depression and stress. Conclusion: This study identified that exercise self-efficacy, depression and stress were significant variables to explain a possible relationship with exercise stages of middle aged women. This study provides new information to influence the development of better health promotion and exercise intervention for middle aged women in the community.

• Journal of the Korean Operations Research and Management Science Society
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• v.12 no.1
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• pp.19-26
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• 1987

In analyzing time series, estimating the level or the current mean of the process plays an important role in understanding its structure and in being able to make forecasts. The studies the class of time series models where the level of the process is assumed to follow a random walk and the deviation from the level follow an ARMA process. The estimation and forecasting problem in a Bayesian framework and uses the Kalman filter to obtain forecasts based on estimates of level. In the analysis of time series, we usually make the assumption that the time series is generated by one model. However, in many situations the time series undergoes a structural change at one point in time. For example there may be a change in the distribution of random variables or in parameter values. Another example occurs when the level of the process changes abruptly at one period. In order to study such problems, the assumption that level follows a random walk process is relaxed to include a major level change at a particular point in time. The major level change is detected by examining the likelihood raio under a null hypothesis of no change and an alternative hypothesis of a major level change. The author proposes a method for estimation the size of the level change by adding one state variable to the state space model of the original Kalman filter. Detailed theoretical and numerical results are obtained for th first order autoregressive process wirth level changes.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.7 no.2
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• pp.164-176
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• 2000

Purpose : This study was done to identify the factors of decisional balance for smoking cessation among middle aged men in Korea. This was composed of a set of variables at the level of decision making when middle aged men decide to stop smoking. It was used to classify and identify the characteristics of the stages of change for smoking cessation to which the middle aged men belong, and was used to identify the variables of decisional balance which influenced the stages of change for smoking cessation in middle aged men. Methods : A convenience sample of 169 men who had smoked and were smoking, were between age 30 and 60 and lived in Seoul(mean age=44), were selected from the community. The data was collected from December 10, 1999 to February 28, 2000. The research instrument was the Decisional Balance Measure for Smoking Cessation (Velicer et al., 1985). and Stage of Change Measure(DiClemente et al., 1991). The data were analyzed using the SAS Program. Results : 1. According to stage of change measure, the 169 subjects were distributed in each stage of change for smoking cessation: in the pre-contemplation stage 63 subjects(32.7%), contemplation stage 60 subjects (35.5%), preparation stage 17 subjects(10.1%), and maintenance stage 29 subjects(17.2%). 2. Factor analysis identified 4 factors of decisional balance as appropriate factors for smoking cessation of middle aged men. There were named by the researchers; 1)'Perceived Burden to Self', 2)'Perceived Benefit to Others' 3)'Perceived Approval to Others', and 4)'Perceived Disapproval to Self'. 3. Analysis of variance showed that the three components, 1)'Perceived Burden to Self(F=8.50, P=.0001)', 2)'Perceived Benefit to Others(F=3.19, P=.025)' and 3)'Perceived DisApproval to Self(F=2.87, P=.038)were significantly associated with stage of change. 4. Through discriminant analysis, it was found that 'Perceived Burden to self' was the most influential variable in discriminating the four stages of change(pre-contemplation, contemplation, preparation, and maintenance). Conclusion : The results are consistent with the application of the Transtheoretical model, which has been used to understand how people change health behavior. Even though this study is a cross-sectional, not a longitudinal study, the findings of this study give useful information for smoking cessation intervention for the middle aged men.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.5
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• pp.2135-2146
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• 2013

Most researches about residential improvement projects deal with different process phase in order to examine important affecting variables. The main purpose of this study is to identify influential change of locational variables according to the process of residential improvement projects. Generally the residential improvement project consists of four phases such as site designation, project committee approval, residents association establishment and final project approval. The discriminant and correlation analyses are employed to examine the changes of locational variables by each phase of the project process. In residential redevelopment projects, the finding shows that locational variables in the final project approval phase act differently from those in the other phases. On the other hand, the variables act similarly among the four phases in the case of residental rebuilding projects although the significant level of discriminant analysis result, in the site destination phase, is relatively low significance. Therefore, there is no difference among the project process phase to examine to what extent of the residential improvement projects.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.1
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• pp.57-73
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• 2021

The purpose of this study is to analyze the diffusion period and productivity of smartwork in an organization. Firms are increasingly interested in smartwork for non contact work and working from home because of the corona 19. The smartwork is a new technology that changes face-to-face work in an organization. It helps the work of individuals and organizations regardless of time and place. The theoretical background describes the complexity, system thinking, diffusion theory, smart work, organizational resistance, and productivity. This study analyzes the diffusion period and productivity of smart work through business simulation techniques. A simulation study progresses four stages. There are problem definition, hypothesis establishment and causal loop diagram, model construction and verification, and policy evaluation. The simulation models contain an individual's resistance variables organizational investment and leadership variables related to the operation of smartwork. The organizational investment variables include organizational culture, legal system, implement systems and technology investment. The individual resistance variables include cognitive, attitude, structure and technological resistance. The leadership includes leadership interest variables and performance linkage variables. The simulation executed the changes of a people number adopting smart work and the organizational productivity monthly. As a result of the simulation, many organization members have accepted the smart work innovation after 20 months. The organizational productivity through smart work showed very high value after 16 months. In scenario analysis, the individuals' awareness and attitude resistance showed very important variables to productivity and a personal change of smart work adoption. Meanwhile, The organizational investment showed that the high driving-force increased not productivity and the low driving-force showed decreased low productivity. Also, leadership variables showed a powerful driver for changing smart work productivity. The implication of the study has suggested extending complexity, diffusion theory and organization resistance theory based on simulation methods.

• Proceedings of the KIEE Conference
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• 2005.07b
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• pp.1159-1161
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• 2005

This study uses a design of experiments to explain correlations between the objective function and design variables. Analysis of means, analysis of variance and table of orthogonal array were carried out. The change of shape design variable for TFLM based on the table of orthogonal array is made. Therefore this study carried to decide design variables for maximizing thrust force of TFLM. we showed improved design variables.

• Journal of Family Resource Management and Policy Review
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• v.6 no.2
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• pp.97-117
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• 2002

This study aimed at identifying and analyzing consumption of leisure services in silver industry and factors that had effects on them. This focused on the consumption of leisure services and its influence on the variables related to change of elderly's attitude, because socio-economic environment structure is improved and average life span is prolonged. The main findings of the research were as follows: 1. Totally, the percentage of leisure services consumption not so high and kinds of leisure were not various. Also, the reason why they use leisure was just for self-development and their indifference to leisure made them not to use services. 2. There were significant differences in individual characteristics and family-environmental conditions relating the consumption of leisure services in the silver industry. 3. Among variables which influence on the consumption of leisure of the elderly, job was the most significant factors. Also average monthly income, the changable inclination in food, clothing and shelter, social support of the family, status of residing, status of health and source of income were influential variables.

• Korean Management Science Review
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• v.32 no.2
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• pp.125-143
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• 2015

When studying the film industry, researchers have seldom addressed the dynamic interaction between marketing information and word of mouth in the motion picture industry mainly because of the limitation of traditional research methodologies. This study explores integration and competition among important variables influencing on audience's choice on movie selection, particularly by using a new method of agent-based modeling including competitive environment. Decision process of moviegoer composed of transition probability based on multinomial logit model, considering marketing and box-office information, critique, and word of mouth from other moviegoers. After validating the fitness of market share among released movies, this study conducted a set of simulation experiments considering several variables such as market size, change of weight between variables, and movie performance under competition. Propositions are derived from the simulation results is also suggested for future research.