• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2002년도 추계학술대회논문초록집
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• pp.334.2-334
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• 2002

In conventional model updating using single-objective optimization techniques, imcompatible physical data are compared with each other using weighting factors. There are no general rules fur selecting the weighting factors since they are not directly related with the dynamic behavior of an updated model. So one of the most difficult tasks, in mr)del updating study, is 'balancing among the correlations', i.e. 'trade-off'. (omitted)

• 품질경영학회지
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• 제25권1호
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• pp.44-55
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• 1997

In order to determine procedures for a, pp.opriate model selection of technological growth curves, numerous time series that were representative of growth behavior were collected according to data characteristics. Three different growth curve models were fitted onto data sets in an attempt to determine which growth curve models achieved the best forecasts for types of growth data. The analysis of the results gives rise to an a, pp.oach for selecting a, pp.opriate growth curve models for a given set of data, prior to fitting the models, based on the characteristics of the goodness of fit test.

• 대한지역사회영양학회지
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• 제5권4호
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• pp.578-585
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• 2000

This study was aimed at examine eating behavior and food preferences of children in preschool nursery facilities. A survey was conducted on parents using questionnaires including general characteristics, eating behavior, and food habits at home and food preferences of children in 6 nursery facilities. The children involved in this study were 150 boys and 154 girls, aged 1 to 7 years old. Sixty three percent(187 children) of the children were on 'regular' meal times, and 37.0%(110 children) were on 'irregular' meal times. The major reason for their irregular meal times were 'their' concentration on other tasks'(26.6%) and 'no appetite'(25.5%). The meal eaten best by children was 'dinner' while that eaten worst was 'breakfast'. The major type of their eating habit problem was 'unbalanced diet'(62.1%), and their mothers' response to the unbalanced diet was 'trying to persuade the child'(71.6%). The number of snacks at home was one or twice a day(97.3%), and 'preference'(67.8%) was the main reason for selecting particular snacks. Their preferred staple foods were 'cooked rice with meat & vegetables and Chinese noodles', and 'noodles with bean sauce', and their preferred soup was 'seaweed soup' Also, their most preferred meat dishes were 'fried chicken' and 'thin sliced barbecued beef. Children preferred side dishes with animal foods to those with vegetable foods. Since children liked mixed dishes, it seems desirable to introduce foods which children dislike as ingredients in mixed dishes.

• The Journal of Asian Finance, Economics and Business
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• 제9권9호
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• pp.351-360
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• 2022

This study aims to determine the factors that can influence investors in selecting stocks in the Indonesian capital market to establish an optimal portfolio, and find phenomena that occurred during the COVID-19 pandemic so that buying interest / the number of investors increased in the Indonesian capital market. This study collection technique uses primary data obtained from the survey questionnaire and secondary data which is market data, stock price movement data sourced from the Indonesia Stock Exchange, Indonesian Central Securities Depository, and Bank Indonesia, as well as empirical literature on behavior finance, investment decision, and interest in buying stock. The method used in this research is the survey questionnaire analysis with the SEM (statistical approach). The results of the analysis using SEM show that investor behavior influences the stock-buying interest, investor behavior, and the stock-buying interest influences investor decision-making. However, risk management does not influence investor-decision making. This occurs when the investigator's psychological capacity produces more decision information by decreasing all potential biases, allowing the best stock selection model to be selected. When the investigator's psychological capacity creates more decision information by reducing biases, the optimum stock selection model can be chosen.

• 수산해양교육연구
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• 제27권5호
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• pp.1303-1309
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• 2015

The behavior and flow characteristics of the floating wave energy converter were analyzed by using CFD in this study. The average significant wave height was confirmed as 0.5~2.0m from the Korean coastal sea area. This study was carried out by selecting a range of 1.0~1.6m in the wave height to simulate the operations of realistic wave energy converter system. The principle of a piston wave maker was applied in order to produce periodic wave. The behavior of the wave energy converter and the state of the wave overtopping according to the generated periodic wave were confirmed through the unsteady three-dimensional flow analysis. It was found that the wave overtopping rate according to the generated periodic wave was in range of the 11.6~30.0 kg/s.

• 대한치과의사협회지
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• 제54권11호
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• pp.923-931
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• 2016

Managing uncooperative behaviors related to dental treatment is necessary for guiding children and adolescence to more favorable behaviors. The first approach should be controlling their behaviors using non-phamarcologic behavior management techniques. However, if this approach fails, it is helpful to control negative behaviors pharmacologically. Accordingly, sedation is frequently used to relieve anxiety related to dental treatment. Also, general anesthesia has been applied to the situations in which sedation is either ineffective or impossible to gain cooperation during treatment. This article discusses the pharmacology of widely used sedatives for children and adolescence and clinical considerations of managing uncooperative children and adolescence with the use of sedation. Furthermore, we recommend clinical indication of selecting general anesthesia rather sedation for the purpose of behavior management.

• 대한산업공학회지
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• 제33권4호
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• pp.402-409
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• 2007

Markov Chains has proven to be effective in predicting human behaviors in the areas of web site assess, multimedia educational system, and driving environment. In order to extend an application area of predicting human behaviors using Markov Chains, this study was conducted to investigate whether Markov Chains could be used to predict human behavior in selecting mobile phone menu item. Compared to the aforementioned application areas, this study has different aspects in using Markov Chains : m-order 1-step Markov Model and the concept of Power Law of Learning. The results showed that human behaviors in predicting mobile phone menu selection were well fitted into with m-order 1-step Markov Model and Power Law of Learning in allocating history path vector weights. In other words, prediction of mobile phone menu selection with Markov Chains was capable of user's actual menu selection.

• 동아시아식생활학회지
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• 제20권1호
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• pp.11-19
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• 2010

This study was conducted to investigate consumer behavior and perception related to alcoholic beverages and Korean rice wines (yakju). Self-administered questionnaires were collected from 254 male and female adults in the Gyunggi-area of Korea. Male respondents were significantly more likely to drink more often, consume greater amounts and spend more on alcoholic beverages. Male respondents preferred, in order, soju, beer and wine. Female respondents preferred, in order, beer, wine and soju. Most of the respondents (69.2%) showed conservative consumption behaviors, and indicated they would drink a new product when it became popular. Flavor/taste was the most important attribute when selecting alcoholic beverages. The reasons for drinking yakju were "high quality" and "considering health". The most answered reason for low market share of yakju was lack of publicity and marketing.

• 대한산업공학회지
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• 제26권2호
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• pp.117-127
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• 2000

In this paper, we propose a new convex combination weight rule for the cross decomposition method which is known to be one of the most reliable and promising strategies for the large scale optimization problems. It is called generalized cross decomposition, a modification of linear mean value cross decomposition for specially structured linear programming problems. This scheme puts more weights on the recent subproblem solutions other than the average. With this strategy, we are having more room for selecting convex combination weights depending on the problem structure and the convergence behavior, and then, we may choose a rule for either faster convergence for getting quick bounds or more accurate solution. Also, we can improve the slow end-tail behavior by using some combined rules. Also, we provide some computational test results that show the superiority of this strategy to the mean value cross decomposition in computational time and the quality of bounds.

• 아동학회지
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• 제6권2호
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• pp.59-71
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• 1985

The purpose of this study was to analyze the effects of both social-status and mode of stimulus-presentation on children's empathic behavior, where empathy is defined as either the comprehension and recognition of an affective state in stimulus persons (others) or the empathic response to that perception. Middle-and lower-class kindergarten children were presented with a series of either short-sentence stories or short-pictorial stories. The subjects were asked to indicate how the child in each situation felt by selecting a "happy", "sad", or "angry" face to complete the picture accompanying each story. Immediately following the first question, children were asked to state verbally how the child in the picture might feel. The main results were (1) The mean empathy scores for the comprehension and recognition of an affective state in others and the empathic response to that perception was higher in middle-class children than in lower-class children. (2) There were differences in empathy scores to the three affective situations, i.e. the mean score for both happiness and sadness was significantly greater than for aggression, and (3) The empathy scores in the pictorial-stories were greater than in the sentence-stories.