• Proceedings of the KIEE Conference
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• 2005.07a
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• pp.408-410
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• 2005

It is important to identify and correct bad data for maintaining the security and the reliability of data acquisition and management in a substation. This paper presents a bad data processing method based on rules acquired by analysis of cause and effect of bad data. The proposed method verified by the case study in a typical substation model.

• Proceedings of the KIEE Conference
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• summer
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• pp.406-408
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• 2004

It is very necessary to adopt bad data processing in order to maintain the security and the reliability of data acquisition and management in the substation. This paper presents a bad data processing method of per module unit by using rule based system. The propriety of this method has been verified by the case study

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.451-458
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• 2021

The objective of this research is to analyze the effect of bad credit and liquidity on bank performance with the mediation of capital adequacy. Data were provided by banking institutions listed on the Indonesia Stock Exchange from the period of 2011-2019. The analysis technique was PLS-SEM supported by an application named WarpPLS 6.0. The results of the research show that the effect of bad credit and liquidity on bank performance is not significant. A high level of bad credit is associated with a low level of bank performance. Bank earnings decline along with low profitability. This relationship is not significant because banks can still cover some proportions of bad credit through capital availability. Capital adequacy as an intervening variable has mediated partially the effect of bad credit and liquidity on bank performance. Besides, capital adequacy has a strong effect on credit distribution. Agency theory says that the owner of the fund (the savers of saving account, current account, deposit account) is called principal while the bank as the trusted institution to manage the fund is called an agent. If customers fulfill their duty, then bad credit never happens.

• Journal of the Korean Institute of Landscape Architecture
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• v.22 no.3
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• pp.121-135
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• 1994

The Purpose of this study was to obtain data about management of the landscape plants and facility in APT. complex. Because of be completed 2 years ago, landscape plants ware damaged by transplantation and lost the nature tree shape. As well, the management conditions of plants and facility were wholly bad. In details, tree-species consisted of 52 species arbors and 35 species shrubs in APT. complex. The high rank 5 species were planted as main plants. The rates were 45.6-62.8% in arbors and 81.8-97.0% in shrubs. In the degree of tree shape and damage by diseuse and pest, the bad level of 1-2points were ranked highly as 13.9% and 10.4%. In the degree of tree shape and damage by disease and pest, the bad level of 1-2points were showed as 5.1% and 4.7%. In the interview Survey, the main problems of management-maintenance were expressed deficiency of budget, specialist and concern of residents. In the future, methods for the intensive management of APT. complex; First, the management of landscape plants and facility should be attained by a expert and need to establishment of maintenance scheme thoroughly. Above all, for improvement of residential life, we should be lead to convert of a resident recognition in the management -maintenance of exterior space.

• KEPCO Journal on Electric Power and Energy
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• v.7 no.2
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• pp.301-307
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• 2021

After the spread of the data collection devices such as smart meters, energy data is increasingly collected in a variety of ways, and its importance continues to grow. However, due to technical or practical limitations, errors such as missing or outliers in the data occur during data collection process. Especially in the case of customer-related data, billing problems may occur, so energy companies are conducting various research to process such data. In addition, efforts are being made to create added value from data, which makes it difficult to provide such services unless reliability of data is guaranteed. In order to solve these challenges, this research analyzes prior research related to bad data processing specifically in the energy field, and propose new missing value processing methods to improve the reliability and field utilization of energy data.

• Korean Journal of Health Education and Promotion
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• v.27 no.1
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• pp.35-48
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• 2010

Objectives: This study was to identify the food habits, dietary attitudes and exercise habits of senior elementary students and provide basic data for the development an obesity management program for these children. Methods: The survey participants were 626 fourth to sixth grade elementary students in G city. Data were analyzed by descriptive statistics, $\chi^2$-test, t-test, ANOVA and multiple logistic regression. Results: The prevalence of obesity was 9.1%. The score of food habits and dietary attitudes at normal-weight group was higher than that of obese group. The food habits of obese group were significantly different according to gender and consideration eating between meals too often as bad habits. The dietary attitudes were significantly different according to interest in obesity control and consideration eating fast and fat food preference as bad habits in obese group. The factors such as grade, intension in weight control and consideration eating fast, overeating, fat food preference and predilection for some food as bad habits were related to obesity. Conclusion: Food habits and dietary attitudes have relation with obesity of senior elementary students. Thus, to develop of obesity management program for senior elementary students, we considered the food habits and dietary attitudes of them.

• Korean Journal of Community Nutrition
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• v.20 no.6
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• pp.399-410
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• 2015

Objectives: This study aims to identify self-resilience factors that drive right dietary and food safety practices in middle school students. Methods: Data was collected from 438 middle school students in Daegu using a self-administered questionnaire in December, 2013. The questionnaire consisted of 81 items with the following categories: general information, self-resilience, right dietary and food safety practices. Statistical analyses to determine frequency, average, ANOVA, factor analysis, reliability analysis, and regression analysis were performed using SPSS 21. Results: The results of factor analysis indicated that self-resilience was classified into challenge, adaptability, patience and achievement needs, and right dietary practices were sub-grouped into family meals, experience of dietary life, eco-friendly, balanced food, economy and bad food control, and food safety practices consisted of management of bacteria, hand washing and eating off a plate, safety food and food purchasing. The score of right dietary and food safety practices showed significant differences by sex, grade, and school achievement (p < 0.05). The economy factor of right dietary practices was significantly affected by the management of bacteria (p < 0.001), hand washing and eating off a plate (p < 0.001), safety food (p < 0.01), food purchasing of food safety practices (p < 0.05). The challenge factor of self-resilience significantly affected family meals, experience of dietary life, balanced food, economy, bad food control, management of bacteria, hand washing and eating off a plate, and safety food (p < 0.05). The adaptability factor of self-resilience was associated with factors such as eco-friendly, balanced food, economy, bad food control, management of bacteria, hand washing and eating off a plate, and food purchasing (p < 0.05). Conclusions: This study suggests that dietary education programs for middle school students could incorporate food safety practices, and self-resilience such as challenge, adaptability, patience and achievement needs to be effective.

• Journal of Environmental Health Sciences
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• v.44 no.5
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• pp.421-432
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• 2018

Objectives: In this study, we started to develop an indoor garden integrated IoT solution based on IAQ (indoor air quality) and interconnection with an environmental database for smart management of indoor gardens. The purpose of this study was to develop and apply an integrated solution for customized air purification from an indoor garden through big data analysis using IoT technology. Methods: An IoT-based IAQ monitoring system was established in three households within a new apartment building. Based on real-time and long-term data collected, $PM_{2.5}$, $CO_2$, temperature, and humidity changes were compared to those of indoor garden applications and the analyzed results were indexed. Results As a result of the installation, all three households had no results exceeding the standard for indoor air pollution on average $PM_{2.5}$ and $CO_2$ indices. In the case of indoor garden installation, the IAQ index increased to the "Good" section after the installation, and readings in the "Bad" section shown before the installation disappeared. The comfort index also did not dip into the "Uncomfortable" section, where it had been preinstallation, and significantly lowered the average score from "Uncomfortable for sensitive groups" to "Good". Overall, the IAQ composite index for the generation of installations decreased the "Good" interval, but "Bad" did not appear. Conclusions In this study on developing an integrated solution for IAQ based on IoT indoor gardens, big data was analyzed to determine IAQ and comfort indexes and an IAQ composite index. Through this process, it became understood that it is necessary to monitor IAQ based on IoT.

• Journal of Korean Society for Quality Management
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• v.32 no.3
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• pp.45-61
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• 2004

This study is to identify the differences in service quality for the 2nd-scale hospital Industries. The subjects of this survey for the empirical analysis are limited to the 2nd- scale hospitals in Korea: data are collected in Seoul, Incheon and Kyungki areas. The results are as follows. First, the efficiency for hospital operations confirmed the differences in bed scale. Second, the high-efficiency hospitals attach importance to efficiency with more than 100 bad scale and the low-efficiency hospitals attach Importance to service quality with less than 100 bed scale.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.6 no.6
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• pp.86-95
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• 2003

The object of this paper is to correct check the tree situation and quantity around highway. Also, those data utilize in order to establish plan about how to the long and short term landscape construction and maintain program. The result of this study can be summarized as follows; 1. Tree decrease rates for 8 branch offices were Jongbu(5.62%), Gangwon(4.32%), Chungcheong (3.35%), Honam(5.62%), Gyeongbuk(3.06%), Gyeongnam(5.60%), Seorak training center(0.31%), Headquarter(1.54%). Also decrease causes were traffic accidents(1.8%), air po11ution(4.7%), humid damage(0.9%), insect and disease(1.2%), wind and rainfall(3.4%), dry damage(3.5%), cold damage (1.0%), fire(3.1%), damage of the man and anima1(4.1%), remove bad tree(13.1%), bad rooting(9.5%) and etc.(53.7%). 2. Improve methods of tree death problems were regulation management(ferti1ize, irrigation and pesticide work), improvement of draining system, Pull out the weeds, Plant native plants, utilize organic matter fertilize and plant environment trees.