• Journal of the Korea Society of Computer and Information
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• v.23 no.9
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• pp.81-86
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• 2018

Software defect severity is very important in projects with limited historical data or new projects. But general software defect prediction is very difficult to collect the label information of the training set and cross-project defect prediction must have a lot of data. In this paper, an unclassified data set with defect severity is clustered according to the distribution ratio. And defect severity-based prediction model is proposed by way of labeling. Proposed model is applied CLAMI in JM1, PC4 with the least ambiguity of defect severity-based NASA dataset. And it is evaluated the value of ACC compared to original data. In this study experiment result, proposed model is improved JM1 0.15 (15%), PC4 0.12(12%) than existing defect severity-based prediction models.

• Journal of the Korean Society of Clothing and Textiles
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• v.38 no.6
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• pp.942-952
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• 2014

Winter outerwear includes various clothes such as classical jackets/coats, padded jackets/coats, wind breakers, leather and fur jackets/coats. This research surveyed care-label instructions attached to 100 jackets/coats dropped off at five drycleaners in the Gyungin area. University students' perception and attitudes towards care labels and management of winter outerwear were examined using a questionnaire. Data collected from 230 respondents were analyzed by frequency analyses, t-tests, ANOVAs and Duncan tests with PASW 20.0. Half of the padding jackets/coats were labelled to be dry cleaned and dry cleaning was more excessively labelled than necessary. University students confirmed more care symbols than fiber compositions such as more at time of cleaning than at purchasing. Clothing-related major students understood care label symbols better than non-clothing major students. Consumers laundered some winter outerwear at home, even though they thought dry cleaning was a proper cleaning method. The appropriate cleaning method for padded jackets/coats is laundering; however, consumers who answered dry cleaning as an appropriate method were three times as those who answered washing, and those performed dry cleaning were two times as those who performed washing. Winter outerwear manufacturers should provide adequate and more specified care-information to consumers in order to maintain initial appearance and performance over longer periods.

• Fashion & Textile Research Journal
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• v.11 no.6
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• pp.887-895
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• 2009

The purposes of this study were to provide informations to apparel companies and to contribute the education of clothing consumers through finding out the present status of clothes purchasing behaviors and the degree of the recognition and the application of care labels of the Chinese students in Daegu area. The data were collected from 166 Chinese students through the questionnaire and analyzed by the frequence, t-test, ANOVA, and Scheffe-test using SPSS 12.0. The results were as follows: 1. The main purchasing place was road shops of well-known brands, and the most decisive factor of purchasing was the display style of goods. They purchased 'any time when necessary' and impulsively. They payed mostly by cash and the most affecting factor of purchasing decision was the degree of fitting. 2. The recognition of the necessity of care label was found in 36.7% of respondent and their most rationale was 'for the management of clothes'. The recognition of care labels showed the highest in reliability and the lowest in application. There were significant differences in satisfaction of care label between male and female and in application according to purchasing places. In conclusion, the recognition of the necessity of care labels showed a little high level but relatively low in the understanding and the application.

• Korean Journal of Health Education and Promotion
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• v.29 no.5
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• pp.1-12
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• 2012

Objectives: Dietary modifications are common treatment strategies for adults with metabolic syndrome, but it is unclear how often these individuals read food labels. The objective of this study was to examine if adults with metabolic syndrome read food labels when buying packaged foods and to determine factors related to label use. Methods: From the database of the Fifth Korean National Health and Nutrition Examination Survey(KNHANES-V), 1,335 adults with metabolic syndrome and 3,696 those without were selected. Data were analyzed using frequency distributions, $X^2$ test and multiple logistic regression with the SPSS win 18.0 program. Results: Adults with metabolic syndrome read food labels less than individuals without it when they purchase packaged foods(12.5% vs 29.0%). Among those without metabolic syndrome, food label use was significantly higher among participants who were women, younger, educated, and trying to control weight. Conclusions: Strategies to use food label as a diet management tool for metabolic syndrome are needed.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.22 no.2
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• pp.74-80
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• 2011

Attention-deficit hyperactivity disorder (ADHD) is a neurobehavioral disorder with an onset of symptoms before 7 years of age, often starting as early as the preschool years. The off-label use of methylphenidate (MPH) for 3- to 6-year-old preschool children with ADHD is being more common, although MPH is not licensed for use in children younger than age 6 years, in most countries. Despite the limited data, the review of the literature suggests that MPH meets evidence based criteria as beneficial and safe for carefully diagnosed ADHD preschool children. Carefully monitored administration of evidence-based psychotropic medication in preschool children with ADHD may be indicated if psychosocial treatments are ineffective.

• Journal of The Korean Society of Agricultural Engineers
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• v.50 no.2
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• pp.11-16
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• 2008

The effects of water and pesticide management practices on ponded water pesticide concentrations in a paddy plot were analysed using the RICEWQ model. The molinate which is a herbicide widely used in rice culture, and frequently detected in paddy environment was selected. In a previous study, the RICEWQ model was successfully calibrated with field data obtained from a paddy plot in Daegu. The calibrated model was run using water and pesticide management scenarios with a set of measured meteorological data for 1997-2006 in Daegu. For all three ponded water depths with the label rate application, the amount of molinate dissipated in ponded water and volatilized accounted for more than 70%, and the runoff losses were less than 9%. The molinate losses through drainage in the very shallow ponded depth showed 40% less than that in deep ponded depth. Comparing with the deep and shallow ponded depth, the very shallow depth was the best with regards to the reduction of molinate runoff losses. Simulations with different pesticide application rates, label rate and double label rate, showed molinate concentrations in the ponded water increased linearly with the application rate increase.

• Asian Journal of Business Environment
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• v.5 no.1
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• pp.5-11
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• 2015

Purpose - This study aims to explore the influence of combining "non-halal" labels with visual and textual warning labels on cigarette packages to induce the intention to quit smoking and boost the stop-smoking campaign. Research design, data, and methodology - This study examines"non-halal" labeling on cigarette packages using an experimental method. A total of 120 smokers, aged 18-23, were chosen from among Universitas Indonesia students. Data obtained were analyzed using ANOVA and T-Test. Results - The use of a "non-halal" label as a warning on cigarette packages is more effective to influence Muslim smokers to quit smoking. The results also suggest that "non-halal" labels more effectively increase intentions to quit smoking when use din combination with textual-visual labels. Conclusions - The study found that the addition of "non-halal" labels in textual or textual-visual warning labels on cigarette packages would significantly increase the intention of Moslems smokers to quit smoking. These results support previous research findings, that if cigarettes are labeled as "non-halal" (haram) products for Moslem teenagers, it will induce them to quit smoking.

• The Korea Genome Conference
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• 2006.09a
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• pp.41-41
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• 2006

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.6
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• pp.2168-2187
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• 2021

The smart grid replaces the traditional power structure with information inventiveness that contributes to a new physical structure. In such a field, malicious information injection can potentially lead to extreme results. Incorrect, FDI attacks will never be identified by typical residual techniques for false data identification. Most of the work on the detection of FDI attacks is based on the linearized power system model DC and does not detect attacks from the AC model. Also, the overwhelming majority of current FDIA recognition approaches focus on FDIA, whilst significant injection location data cannot be achieved. Building on the continuous developments in deep learning, we propose a Deep Learning based Locational Detection technique to continuously recognize the specific areas of FDIA. In the development area solver gap happiness is a False Data Detector (FDD) that incorporates a Convolutional Neural Network (CNN). The FDD is established enough to catch the fake information. As a multi-label classifier, the following CNN is utilized to evaluate the irregularity and cooccurrence dependency of power flow calculations due to the possible attacks. There are no earlier statistical assumptions in the architecture proposed, as they are "model-free." It is also "cost-accommodating" since it does not alter the current FDD framework and it is only several microseconds on a household computer during the identification procedure. We have shown that ANN-MLP, SVM-RBF, and CNN can conduct locational detection under different noise and attack circumstances through broad experience in IEEE 14, 30, 57, and 118 bus systems. Moreover, the multi-name classification method used successfully improves the precision of the present identification.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.5 s.164
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• pp.680-691
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• 2007

The increased diversity in designs, colors, and materials of children's clothing these days call for extra caution in care of these garments; however, the lack of customer's trust and efforts in complying with the care label combined with the enterprises's inadequate label attachments have led to various problems and disputes. This research attempts to examine customer's recognition, perception, and attitude towards the care labels on children's clothing. This research used the data collected from a total of 292 housewives raising children less than 7 year old. Descriptive statistics such as means, standard deviations, frequencies were calculated and ANOVAS followed by Duncan tests were carried out using SPSS 10.0. The results are as follows: First, 84.3% of the housewives admitted that they know about care labels; individuals with higher education level reported higher recognition. Second, as for the perception/attitude toward care labels, 46.9% perceived that care labels 'require additional knowledge for washing clothes' and 30.2% answered that they trust care labels. Third, 51.7% answered that they 'check the symbol instruction'; this tendency was higher among those with higher education levels. Fourth, 31.5% answered they comply with the instructions on care labels. Fifth, as for the reasons for not complying, 60.3% answered they neglect care labels because 'based on my experience, no major problems would occur'; this tendency was higher for those with greater personal income. Sixth, when asked whether any information on the care label kept them from buying a particular garment, 59.2% responded they did not purchase a garment because 'laundry costs appeared to outweigh the product price'; this response was higher among individuals with a higher level of income or education.