• International Journal of Computer Science & Network Security
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• v.22 no.10
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• pp.171-176
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• 2022

A dramatic rise in the number of people dying from heart disease has prompted efforts to find a way to identify it sooner using efficient approaches. A variety of variables contribute to the condition and even hereditary factors. The current estimate approaches use an automated diagnostic system that fails to attain a high level of accuracy because it includes irrelevant dataset information. This paper presents an effective neural network with convolutional layers for classifying clinical data that is highly class-imbalanced. Traditional approaches rely on massive amounts of data rather than precise predictions. Data must be picked carefully in order to achieve an earlier prediction process. It's a setback for analysis if the data obtained is just partially complete. However, feature extraction is a major challenge in classification and prediction since increased data increases the training time of traditional machine learning classifiers. The work integrates the CNN-MDRP classifier (convolutional neural network (CNN)-based efficient multimodal disease risk prediction with TANFIS (tuned adaptive neuro-fuzzy inference system) for earlier accurate prediction. Perform data cleaning by transforming partial data to informative data from the dataset in this project. The recommended TANFIS tuning parameters are then improved using a Laplace Gaussian mutation-based grasshopper and moth flame optimization approach (LGM²G). The proposed approach yields a prediction accuracy of 98.40 percent when compared to current algorithms.

• Journal of the Korean Society of School Health
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• v.23 no.1
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• pp.29-40
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• 2010

Purpose: The purposes of this study were: (a) to assess indoor air quality such as $PM_{10}$, $CO_2$ concentrations in child daycare centers, (b) to compare the levels with each standard, and (c) to identify teachers' awareness of indoor air quality in child care centers. Methods: Data were obtained from seventeen child daycare centers and ninety-eight teachers in a district of Seoul, from April 3 to May 12, 2009. Collected data were analyzed by SAS 8.2, and descriptive statistics, $x^2$ test, student t-test, Pearson correlation analysis, and Spearman rank correlation were used. Results: The mean of $PM_{10}$ and $CO_2$ level were $50.3{\mu}g/m^3$ and 792.1ppm. Sixteen child daycare centers (94.2%) met the guidelines of the $PM_{10}$ level, so did thirteen child daycare centers (76.5%) in the $CO_2$ level. $CO_2$ levels were significantly low in child daycare centers using air cleaners than those do not using them (t=-6.03, p<.001). Types of child daycare centers were significantly correlated to the levels of $CO_2$, which public child daycare centers were low in $CO_2$ levels than those of private child daycare centers (t=-2.54, p=.013). There was no significant correlation between teachers' awareness and management attitude of indoor air quality while teachers' awareness of indoor air quality significantly raised the frequency of carpet cleaning. Methods of cleaning routines were significantly correlated with $PM_{10}$, and $CO_2$ levels. Conclusion: The $PM_{10}$ and $CO_2$ concentrations in child daycare centers were satisfactory. Those conditions are affected by general characteristics of child daycare centers and teachers' attitude regarding management of indoor air quality.

• Journal of Digital Convergence
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• v.18 no.11
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• pp.355-363
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• 2020

This study is conducted to examine the changes in class perception and career perception according to the teaching method for dental hygiene students in some areas of Gangwon-do. Using the same questionnaire, the first questionnaire was conducted after contact classes in December 2019, and the second questionnaire was conducted after non-contact classes in July 2020. Data were analyzed using SPSS Windows 24.0, and the results are as follows. There were differences in class perception and career perception according to grades, and career interest, career curiosity, and career confidence were different according to school life satisfaction and professional tooth cleaning Class satisfaction. In the case of non-contact classes, the proportion of career decisions through the internet increased, and career confidence also increased. These results can be provided as basic data necessary for the use of methods such as flip-learning classes in consideration of the convergence aspect in the practical subject class management and for the production of standardized practical videos for practical tests.

• Journal of Families and Better Life
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• v.30 no.5
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• pp.89-105
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• 2012

The purpose of this study is to analyze working mothers' demand for child care and housekeeping home services, and to investigate the present supply condition of home services in Korea. Data collection was implemented to examine the service demand of working mothers(n=700) in four areas. The data were analyzed with SPSS. The results were as follows: 1) For home-based child-care dispatch services social enterprises are superior to other private service suppliers in terms of the treatment of service workers, wages, and quality control. As for child care service contents, the provision of meals, and casual safeguards were mostly expected. The most important qualification for care providers was found to be in faithfulness, and the certification related with child care was required. An affordable wage range was perceived as ￦3,000~5,000 per hour, and part time services. For the time range, services which commenced before 9 am and terminated after between 5~6 pm were preferred. 2) For housekeeping dispatch services, standard services, including basic cleaning, preparation of meals and side dishes, special cleaning, and washing, were in demand. The required qualifications of housekeeping service providers were similar to those of child care service providers. Possessing certification was not considered as an important quality; however, personality and career type were important factors. An acceptable wage range was ￦3,000~5,000 per hour and part-time services were preferred. In terms of the service time range, services which commenced between 8~9 am and terminated between 5~7 pm were preferred.

• The Journal of Industrial Distribution & Business
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• v.8 no.3
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• pp.11-18
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• 2017

Purpose - This study aims to analyze the effects of the social support on the economic activities from the Korean Chinese residing in Korea. Particularly, this paper focuses on the consequence of the economic activity intention according to the three kinds of social support. Research design, data, and methodology - For the statistics process of data collected by this survey, SPSS 19 statistics package program was used through data-coding and data-cleaning processes to analyze the data in this study. Results - This hypothesis was selected partially. As a result of investigating hypotheses in detail, Hypothesis 1-2 was significant as shown in the significance level 0.1, and when the emotional support was regarded important, the will of economic activities was also higher. Hypothesis 1-2 was found to be meaningful with the significance level of 0.05, and when the social support was regarded important, the will of economic activities was also higher. Lastly, Hypothesis 1-3 was found to not be statistically significant. Conclusions - The results of this study are expected to be used as basic data for vitalization of the Korean Chinese' economic activities and governmental support for it, and to be a guideline in preparing successful strategies for expansion of the Korean Chinese' economic activities in the future by applying these results.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.4
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• pp.25-31
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• 2009

In this paper, the implementation of a production control system based on RFID has been studied in order to obtain an exact Cost Center data such as the name of workers included a process of work and a time period to finish the process. The cost center of a worker will be correctly obtained by checking the work time using RFID tag data and by transmitting the data to a server of ERP or POP system. And also warming up time, cleaning time, power failure, and out of order sign will be checked and calculated using the data stored in RFID tags attached in workers and machine facilities. Therefore, exact Cost Center data will be obtained by the production control system with touch screens entering the data according to the situation in real time.

• Journal of Navigation and Port Research
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• v.47 no.4
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• pp.182-190
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• 2023

This study proposes a predictive model using XGBoost and SHapley Additive exPlanation (SHAP) to estimate fuel consumption in bulk carriers. Previous studies have also utilized ship engine data and weather data. However, they lacked reliability in predicted results and explanations of variables used in the fuel consumption prediction model implementation. To address these limitations, this study developed a predictive model using XGBoost and SHAP. It provides research background, scope, relevant regulations, previous studies, and research methodology. Additionally, it explains the data cleaning method for bulk carriers and verifies results of the predictive model.

• Journal of Families and Better Life
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• v.11 no.2
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• pp.169-181
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• 1993

The purpose of this study was to investigate the implementing level of housewife's manage-ment behavior related to reducing environmental pollution and the effects of three variable-groups on management behavior related to reducing environmental pollution. The research data were collected by structured questionnare and 544 cases were finnally selected. The data analysis was conducted by the method of frequency mean Pearson's correla-tion multiple regression. The major findings were as follows: 1) The implementing level of housewife's overall management behavior slightly high. 2) Wife's value(ecologicalism materialism expediency social-enviromental resources(degree of masscom contact degree of meeting with neighbors. refuse box) were significant predictors of the level of overall management behavior And Background variables(wife's aged and educa-tion level & job household income occupation of husband) had not significant effect on the level of overall management behavior. The most influential variable-group on the level of overall management behavior and buying cleaning & dishwashing cooking laundry activities was Wife's value. But the most influential variable-group on the implementing level of disposing trash was social-environmental resources.

• Proceedings of the KWS Conference
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• 2002.10a
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• pp.418-424
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• 2002

Korean Fusion Reactor(KSTAR) system consists of a vacuum vessel, in-vessel components, cryostat, thermal shield, super-conducting magnets and magnet supporting structures. These systems are in the final stage of engineering design with the involvement of industrial manufacturers. The overall configuration and the detailed dimensions of the KSTAR structure have been determined and the first stage of manufacturing is progressing now. In this study, the fabrication and assembly sequence were evaluated in viewpoint of high strengthening joints and very high accuracy. Especially for this purpose, the special cleaning process and welding process were proposed for high strengthening austenitic stainless steel which shall be used at cryogenic temperature. The draft procedure qualification data for welding process are presented with precise welding data including special narrow groove design. For the cooling line attachment on the surface of inside wall of magnet structure case, Induction brazing technology is introduced with some special jigging system and some consumables.

• Journal of Korean Elementary Science Education
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• v.37 no.1
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• pp.27-38
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• 2018

The purpose of this study was to investigate the perceptions of the students about professionalism on the elementary teachers' science teaching through network analysis of keyword. For this study, questionnaires were conducted to elementary school students. The collected data were translated by coding and data cleaning. And then analyzed by Gephi 0.9.2 program as a tool of the network analysis. The results of this study were as follows: Top 5 words in betweenness centrality were 'smart, experiment, fun, various, and student understanding'. There was some difference of perceptions of students according to personal backgrounds(gender, grade and interest toward science class). Based on the result of this study, implications to improve elementary teachers' science teaching professionalism were suggested.