• Journal of the Korean Dietetic Association
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• v.12 no.3
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• pp.299-306
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• 2006

The purpose of this study was to analyze effect of nutrition education after executing education nutrition with the nutrition education textbook, reconstructed 12 units, focused on older elementary school children and to evaluate interest and understanding of textbook. The subjects were 4th grade children. The results were as follows. The most interesting lesson contents was 'obesity(16.3%)', and the next were 'food poisoning' (13.3%), 'kimchi'(13.3%), and 'Korean table manners'(10.2%) in the 12 unit. Children who attended education nutrition answered 'interesting'(94.1%), 'understand easily'(97.1%) about the developed textbook. With regard to change in nutrition knowledge after education, the percentage of correct answers was increased in most of question except 'reason of snack' and 'weight-control'. And the total score of nutrition knowledge was risen(p<0.01), because the ratio of correct answer of 'importance of breakfast'(p<0.05) and 'nutrition labeling'(p<0.01) was improved especially. The ratio of desirable snack time 'between lunch and dinner' was higher after education(91.2%) than before(55.2%)(p<0.01). After education, the choice of 'Fruit and vegetable' of which desirable snack food was increased. Both the choice of 'bread' and 'fast food', a factor of oversupply calorie, was decreased. And after education, the percentage of sound snack place 'home' was improved. In regard of a meal environment, the percentage of 'every wash hand before eating' is 65.1% and there is scarcely change after education. Before education, children answered 'use it rightly'(82.4%) about 'how to eat with spoon and chopsticks', but it is lower after education. The ratio of 'leave food sometimes or always' is 47.1% before education, and the ratio of leftover food tend to decreased in school lunch. Relate to reason of leftover, the percentage of 'because of hate food' tend to decrease. This results suggests that the activity-centered nutrition education can help to change food behaviors and increase nutrition knowledge level of school children.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.7
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• pp.327-332
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• 2016

This study is a leading research project to develop an automatic grade decision making algorithm of a 6-years-old fresh ginseng. For this work, we developed a Ginseng image acquiring instrument which can take 4-direction's images of a Ginseng at the same time and obtained 245 jingen images using the instrument. The 12 parameters were extracted for each image by a manual way. Lastly, 4 parameters were selected depending on a Ginseng grade classification criteria of KGC Ginseng research institute and a survey result which a distribution of averaging 12 parameters. A pattern recognition classifier was used as a support vector machine, designed to "k-class classifier" using the OpenCV library which is a open-source platform. We had been surveyed the algorithm performance(Correct Matching Ratio, False Acceptance Ratio, False Reject Ratio) when the training data number was controlled 10 to 20. The result of the correct matching ratio is 94% of the $1^{st}$ ginseng grade, 98% of the $2^{nd}$ ginseng grade, 90% of the $3^{rd}$ ginseng grade, overall, showed high recognition performance with all grades when the number of training data are 10.

• Journal of Information Processing Systems
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• v.10 no.4
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• pp.602-617
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• 2014

The performance of a cognitive radio network (CRN) solely depends on how precisely the secondary users can sense the presence or absence of primary users. The incorporation of a spatial false alarm makes deriving the probability of a correct decision a cumbersome task. Previous literature performed this task for the case of a received signal under a Normal probability density function case. In this paper we enhance the previous work, including the impact of carrier frequency, the gain of antennas on both sides, and antenna heights so as to observe the robustness against noise and interference and to make the correct decision of detection. Three small scale fading channels: Rayleigh, Normal, and Weibull were considered to get the real scenario of a CRN in an urban area. The incorporation of a maximal-ratio combining and selection combing with a variation of the number of received antennas have also been studied in order to achieve the correct decision of spectral sensing, so as to serve the cognitive users. Finally, we applied the above concept to a traffic model of the CRN, which we based on a two-dimensional state transition chain.

• Education of Primary School Mathematics
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• v.15 no.2
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• pp.159-170
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• 2012

Many obstacles have been found in the learning of ratio and rate. The types of epistemological obstacles concern 'terms', 'calculations' and 'symbols'. It is important to identify the epistemological obstacles that students must overcome to understand the learning of ratio and rate. In this respect, the present study attempts to figure out what types of epistemological obstacles emerge in the area of learning ratio and rate and where these obstacles are generated from and to search for the teaching implications to correct them. The research questions were to analyze this concepts as follow; A. How do elementary students show the epistemological obstacles in ratio and rate? B. What is the reason for epistemological obstacles of elementary students in the learning of ratio and rate? C. What are the teaching implications to correct epistemological obstacles of elementary students in the learning of ratio and rate? In order to analyze the epistemological obstacles of elementary students in the learning of ratio and rate, the present study was conducted in five different elementary schools in Seoul. The test was administered to 138 fifth grade students who learned ratio and rate. The test was performed three times during six weeks. In case of necessity, additional interviews were carried out for thorough examination. The final results of the study are summarized as follows. The epistemological obstacles in the learning of ratio and rate can be categorized into three types. The first type concerns 'terms'. The reason is that realistic context is not sufficient, a definition is too formal. The second type of epistemological obstacle concerns 'calculations'. This second obstacle is caused by the lack of multiplication thought in mathematical problems. As a result of this study, the following conclusions have been made. The epistemological obstacles cannot be helped. They are part of the natural learning process. It is necessary to understand the reasons and search for the teaching implications. Every teacher must try to develop the teaching method.

• Journal of the Korean Society of Safety
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• v.33 no.4
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• pp.72-77
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• 2018

There are various approaches to prevent industrial accidents, of which the focus on human factors is behavior based safety(BBS). The BBS provides positive feedback on safety behavior and corrective feedback on unsafe behavior. Determining the feedback ratio of positive and correct feedback is an important issue in BBS. The purpose of this study was to examine the effects of positive and corrective feedback ratio on safety performance and feedback acceptance. The participants of this study were sixty undergraduate and graduate students at C University in Seoul, Korea. Participants were asked to work on a simulated welding task. The independent variable of was different positive vs. corrective feedback ratio (1:1 and 1:4). The dependent variables were the amount and the number of correctly completed work tasks, compliance rate of safety behavior, and feedback acceptance. The experimental design of this study was 2 x 2 mixed design. The results showed that feedback, regardless of the ratio, increased both correctly completed work tasks and the compliance rate of safety behavior, while 1:1 positive vs. corrective feedback ratio was more effective than 1:4 ratio. In addition, 1:1 ratio produced higher level of feedback acceptance compared to 1:4 ratio.

• Proceedings of the Korea Society for Energy Engineering kosee Conference
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• 1998.05a
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• pp.43-48
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• 1998

A short-cut equation for the calculation of the air ratio in the case of firing gases containing incombustibles has been derived on the basis of mass balances. The new equation requires the oxygen concentration and the amount of carbon dioxide in the combustion gas, theoretical oxygen and air requirements, and the content of incombustibles other than carbon dioxide in the fuel for the air ratio calculation. By using the equation, a theoretically correct calculation of the air ratio has been enabled.

• Journal of Distribution Science
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• v.11 no.6
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• pp.13-19
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• 2013

Purpose - This study aims to predict the audit reports of listed companies on the Tehran Stock Exchange by using meta-heuristic algorithms. Research design, data, methodology - This applied research aims to predict auditors reports' using meta-heuristic methods (i.e., neural networks, the ANFIS, and a genetic algorithm). The sample includes all firms listed on the Tehran Stock Exchange. The research covers the seven years between 2005 and 2011. Results - The results show that the ANFIS model using fuzzy clustering and a least-squares back propagation algorithm has the best performance among the tested models, with an error rate of 4% for incorrect predictions and 96% for correct predictions. Conclusion - A decision tree was used with ten independent variables and one dependent variable the less important variables were removed, leaving only those variables with the greatest effect on auditor opinion (i.e., net-profit-to-sales ratio, current ratio, quick ratio, inventory turnover, collection period, and debt coverage ratio).

• Proceedings of the Korea Concrete Institute Conference
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• 2000.10a
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• pp.751-756
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• 2000

The dynamic characteristics such as natural frequency, mode shape and damping ratio are most important parameters in the high-speed railway bridges rather than general roadway bridges. Also, the need to know the dynamic behavior of bridges greatly increased in recent years. In the early of 1990s, to design the high-speed railway bridges, damping ratio recommended in general code was 2.5~7.5%. However, these values were not applied in all cases. Therefore, obtaining the damping value of specific structures is important to get the correct variable for design of high-speed railway bridges. The purpose of this study is mainly to obtain the damping ratio of high-speed railway bridges. The average damping ratio of high-speed railway bridges evaluated from a field test is about 2.4%.

• The Korean Journal of Financial Management
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• v.24 no.2
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• pp.183-206
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• 2007

The price-dividend ratio is one of the most frequently used financial variables to predict long-horizon stock return. However, the persistency of the price-dividend ratio is found to cause the spuriousness of the stock return prediction regression. The stable relationship between the stock price and the dividend, however, seems to weaken after World War II and to experience structural break. In this paper, we identify a structural change in the cointegrating relationship between the log of the stock price and the log of the dividend. Confirming a structural break in 1962, we subdivide the sample and apply the fully modified estimator to correct for the nonstationarity of the regressor. With the subdivided sample, we exercise the nonparametric bootstrap procedure to derive the empirical distribution of the test statistics and fail to find return predictability in each subsample period.

• Publications of The Korean Astronomical Society
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• v.11 no.1
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• pp.263-277
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• 1996

We have intensively carried out numerical calculations on flare predictions from the solar activity data for photospheric sunspots, chromospheric flare and plages, coronal X-ray intensities and 2800MHz radio fluxes, by using multilinear regression method. Intensities of solar flares for the next day have been predicted from the solar data between 1977-1982 and 1993-1996. Firstly, we have calculated flare predictions with the multilinear regression method, by using separate solar data in growth and decay phase of sunspot area and magnetic field strength from the whole data on solar activities. Secondly, the same operations as above have been made for the remaining data after removal of the data with large deviation from the mean calculated by the above prediction method. we have reached a conclusion that average hit ratio of correct predictions to total predictions of flares with class of M5 over has been as high as 70% for the first case and that of correct prediction number to total observation number has been shown as 61%.