• Journal of Digital Convergence
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• v.17 no.5
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• pp.217-223
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• 2019

A study in predicting defects of spot welding in real time in automotive field is essential for cost reduction and high quality production. Welding quality is determined by shear strength and the size of the nugget, and results depend on different independent variables. In order to develop the real-time prediction system, multiple regression analyses were conducted and the two dependent variables were obtained with sufficient statistical results with three independent variables, however, the quality prediction by the regression formula could not ensure accuracy. In this study, a multi-layer neural network circuit was constructed. The neural network by 10 dynamic resistance variables was constructed with three hidden layers to obtain execution functions and weighting matrix. In this case, the neural network was established with three independent variables based on regression analysis, as there could be difficulties in real-time control due to too many input variables. As a result, all test data were divided into poor, partial, and modalities. Therefore, a real-time welding quality determination system by three independent variables obtained by multiple regression analysis was completed.

• Journal of Families and Better Life
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• v.3 no.1
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• pp.15-22
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• 1985

This study was designed to examine leisure time and leisure activities of homemakers and to predict future leisure time and future leisure time orientation. Present leisure time and future leisure time orientation were studied in relation to sociodemographic and physical environmental variables, time use variables and attitude variables. The major findings were the average daily housework time of homemakers was 6.5 hours on weekends. Housework time of employed homemakers was 3.5 hours and full-time homemakers was 8.0 hours. Daily leisure time of homemakers was 4.0 hours on weekdays and 4.8 hours o weekends. Most homemakers leisure activities on weekdays and weekends were reading, watching TV or listening to the radio and resting. In the future, they want to go hiking, hunting, traveling or fishing, attending concerts, drama or movies and playing sports games. The homemakers who felt their amount of present leisure time was sufficient were 35.4% and insufficient were 37.9%. Regarding the present leisure activities, 43.1% of homemakers expressed dissatisfaction, though 21.9% of them satisfied. Factors affecting the homemakers weekday leisure time were homemakers' occupation, family type, type of heating form house and cooking, weekday and weekend housework time of homemakers. Weekend leisure time interacted with family life cycle, number of children, income, education and occupation of homemakers, size of house, type of heating for house and cooking, weekday housework time of homemakers. housework time of employed housekeeper, husbands' weekend housework time, weekday leisure time of homemakers.

• Journal of the Korean Home Economics Association
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• v.32 no.1
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• pp.47-58
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• 1994

The purpose of this study were to investigate the independant influence of variable related to the managerial satisfaction and casual relation between variables. For this purposes the data were collected through the questionnaire whose respondent were 448 housewives. The major results of this study were as follows; 1. The variables influenced independently to the managerial satisfaction were wife's age income perceived time pressure time planning time management strategies. 2. Among all varialbles affecting the managerial satisfaction income time planning and time management strategies had direct effect. And household size employment status and educational level had indirect effect.

• Journal of Acupuncture Research
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• v.18 no.6
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• pp.70-83
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• 2001

Objective : In order to investigate symptoms prevalence related to visual display terminal(VDT) syndrome, and to evaluate the variables affecting the development of the VDT syndrome. Methods : a questionnaire survey was conducted on 127(81 men and 46 women) VDT operators who had been studied in Soongsil University graduated school in Seoul. Result : As a result of analysis with data collected by questionnaire, l. Variables affecting the level of general symptoms were sex, the total time of VDT operation per day, type of typewriting, location of keyboard, illumination, VDT working duration, the time of VDT operation without rest. 2. Variables affecting the level of eye symptoms were sex, the total time of VDT operation per day, type of typewriting, VDT working duration, illumination, method of eye-resting. 3. Variables affecting the level of musculoskeletal symptoms were sex, the total time of VDT operation per day, the time of VDT operation without rest, illumination. Conculsions : In order to protect workers from VDT syndrome, it is urgently required to implement standard management recommendations including restriction of VDT working hours and allowance of more sufficient resting time for VDT workers.

• The Journal of Asian Finance, Economics and Business
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• v.10 no.1
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• pp.9-17
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• 2023

The study attempted to answer the questions related to the expected effects of supply chain management variables which include: Partnership with Suppliers (PS), Relationships with Customers (RC), Quality of Information Exchange (QIE), and Postponement (P), as independent variables, total quality management (TQM) as a dependents variable, and just in time (JIT) as a mediator variable. The study relies on the descriptive approach by conducting an empirical study on commercial companies in Riyadh Governorate in the Kingdom of Saudi Arabia. Through the methods of descriptive and analytical statistics represented in exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and structural equation modeling (SEM)), using the AMOS and SPSS programs, the results of the applied study indicated that: There is an effect of supply chain management variables (quality of information exchange, Postponement) on just in time (JIT), there is no effect of the supply chain variables (relationship with customers, partnership with suppliers) on just in time (JIT), there is an indirect effect of the quality of information exchange, Postponement, partnership with suppliers, the relationship with customers on total quality management (TQM), relationship with customers affect on total quality management (TQM) indirectly, just in time (JIT) does not affect total quality management (TQM)

• Bulletin of the Korean Chemical Society
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• v.25 no.2
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• pp.285-288
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• 2004

A canonical transformation changes variables such as coordinates and momenta to new variables preserving either the Poisson bracket or the commutation relations depending on whether the problem is classical or quantal respectively. Classically canonical transformations are well established as a powerful tool for solving differential equations. Quantum canonical transformations have been defined and used relatively recently because of the non-commutativeness of the quantum variables. Three elementary canonical transformations and their composite transformations have quantum implementations. Quantum canonical transformations have been mostly used in time-independent Schrodinger equations and a harmonic oscillator with time-dependent angular frequency is probably the only time-dependent problem solved by these transformations. In this work, we apply quantum canonical transformations to a harmonic oscillator in which both angular frequency and equilibrium position are time-dependent.

• Journal of Korean Society for Quality Management
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• v.48 no.3
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• pp.511-520
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• 2020

Purpose: The purpose of this study was to devise an accurate machine learning model for predicting silica concentrations following the addition of impurities, through time series analysis of mining data. Methods: The mining data were preprocessed and subjected to time series analysis using the machine learning model. Through correlation analysis, valid variables were selected and meaningless variables were excluded. To reflect changes over time, dependent variables at baseline were treated as independent variables at later time points. The relationship between independent variables and the dependent variable after n point was subjected to Pearson correlation analysis. Results: The correlation (R2) was strongest after 3 hours, which was adopted as a dependent variable. According to root mean square error (RMSE) data, the proposed method was superior to the other machine learning methods. The XGboost algorithm showed the best predictive performance. Conclusion: This study is important given the current lack of machine learning studies pertaining to the domestic mining industry. In addition, using time series analysis in mining data will show further improvement. Before establishing a predictive model for the proposed method, predictions should be made using data with time series characteristics. After doing this work, it should also improve prediction accuracy in other domains.

• Journal of the Korea Society for Simulation
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• v.21 no.3
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• pp.71-78
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• 2012

This research discusses the application of the control variables to achieve a more precise estimation for the target response in queueing network simulation. The efficiency of control variable method in estimating the response depends upon how we choose a set of control variables strongly correlated with the response and how we construct a function of selected control variables. For a class of queuing network simulations, the random variables that drive the simulation are basically the service-time and routing probability random variables. Most of applications of control variable method focus on utilization of the service time random variables for constructing a controlled estimator. This research attempts to suggest a controlled estimator which uses these two kinds of random variables and explore the efficiency of these estimators in estimating the reponses for computer network system. Simulation experiments on this model show the promising results for application of routing probability control variables. We consider the applications of the routing probability control variables to various simulation models and combined control variables using information of service time and routing probability together in constructing a control variable as future researches.

• Journal of Families and Better Life
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• v.23 no.1 s.73
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• pp.223-239
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• 2005

The purpose of this study is to explore the impacts of personality variables, family variables, job variables, work-family conflict and job satisfaction on life satisfaction of family business workers. The major findings are as follows: 1. There was direct causal effects of job satisfaction, Sunday working level, the duration of the family business, an academic background on life satisfaction of family business workers. 2. Such variables family variables(family size, number of family workers, number of unpaid family workers), working time variables (working hours per a day, saturday working level, flexibility of working time), work-family conflict had indirect causal effects on life satisfaction of family business workers

• The Korean Journal of Community Living Science
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• v.14 no.1
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• pp.37-53
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• 2003

The purpose of this study was to empirically verify influence of objective variables and subjective variables of life management strategy of unmarried man and women and provide a basis for the development of time management. The subject of this study were 355 unmarried men and women and interviewed with a questionnaire. The data were analyzed by SPSS program for the frequency, mean, standard deviation, t-test and regression analysis. The major results of this study were as follows: 1. The score of time management strategy of unmarried man and women was the highest. The score of leisure management strategy of unmarried man and women was the lowest. 2. Variables that affect overall life management strategy were academic career, degree of information using, fate control orientation and perception level of living relative to others. 3. The relative contribution of subjective variables on life management strategy were higher than objective variables.