• The Journal of Korean Association of Computer Education
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• v.22 no.3
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• pp.123-133
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• 2019

The purpose of this study is to establish Smart Education Environment for children's personalized learning based on the data are accumulated by Smart Device which is one of element on Smart Education. In this study, we propose the operational improvement plan for the free choice activity in the 5-year-old kindergarten and also implement the Free Choice Activity(FCA) management system for children to select and to evaluate the play plans for themselves. Children participating in this study have fun the whole time for the process of self-planning, the playing activities and the self-assessment of playing. As a result, it is confirmed that children participate actively in decision-making of interesting areas through the smart device than the traditional education environment before. A single teacher using FCA management system with smart device in this study can get useful information without difficulty of individual child's interests, learning and the statistics of children in the classroom.

• Atmosphere
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• v.29 no.2
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• pp.213-218
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• 2019

A valuation of air pollution is critical for relevant policy-making for the public and research direction. This study conducted a willingness-to-pay (WTP) survey using contingent valuation method (CVM) in Seoul Korea. In detail, this study puts an emphasis on its temporal changes referred on two surveys conducted in 2014 and 2019. In reference to the previous studies in 2002, our survey indicated that the public awareness of air pollution and interests on its sources and solutions increased noticeably. Our survey showed that WTP increased significantly from 2588 to 4827 and 8240 Korean Won $month^{-1}$ in 2002, 2014, and 2019, respectively. Moreover, the percentage of respondents to pay the WTP also increased from 48% to 68% and 79% in 2002, 2014, and 2019, respectively. Our analysis based on the number of Google search on particulate matters (PMs) strongly suggests that such the noticeable increases of the public attention to air pollution is well accorded with the moment of the announcement of a standard for ultra-fine particles and the start of PM prediction in late 2013. But the Google search rate grew about 16.7 times in 2009 compared to 2014, which is much larger than the growth rate of interest and WTP between 2014 and 2019. Our results shed light on policy decision for the right person in the right place on the right time in the era of air pollution.

• Journal of Climate Change Research
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• v.6 no.3
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• pp.223-231
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• 2015

Although a considerable part of climate change can be explained by temperature change, hydrological change such as precipitation, evapotranspiration, and runoff impact more on society. For the ascertain a hydrological change in agriculture sector, this study estimate evapotranspiration of cropland in the Korean peninsula, and then to assess the drought severity in the past 30 years through the estimated potential evapotranspiration and observed precipitation. The potential evapotranspiration is estimated by EPIC model and Penman-Monteith method and the drought severity in cropland of the Korean peninsula is assessed using Normalized Precipitation Evapotranspiration Index (NPEI) based on the difference in precipitation and potential evapotranspiration. In North Korea, the estimated evapotranspiration tends to increase even though a significant change is not found due to the change of climate. Although a time series change in drought severity in the past 30 years is not pronounced, a deviation by year and difference between South and North Korea is certain. One reason of this is difference in precipitation and evapotranspiration change according to the latitude. The result including expansion of facilities for water management in North Korea can be used for agricultural decision making, as well as base data of climate change adaptation.

• Journal of Digital Convergence
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• v.17 no.2
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• pp.135-144
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• 2019

The importance of logistics of warehouse stores has increased as their prices are cheaper and more convenient than those of large supermarkets. However, few studies on integrated depot location selection of warehouse stores have been conducted. In this regard, this study aims to derive factors for integrated depot location selection and calculate weights and select the location priority of target candidates by introducing an analytic hierarchy process (AHP). The analysis results exhibited that the most important selection factor was the cost reduction in transportation and delivery (0.198) followed by distance reduction in transportation and delivery (0.168), and time reduction in transportation. This study quantified the reduction in cost and increase in efficiency if depots were integrated and operated thereby presenting more realistic foundational data to hands-on workers. For the future study, the analysis model will be needed to be advanced through additional investigation on the factors in the analysis.

• The Korean Journal of Archival Studies
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• no.55
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• pp.165-208
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• 2018

This paper will address why records management innovation needs to be considered and sought again in 2017 when Korea's new government was inaugurated, and it suggests the direction and strategies of the innovation. Now is time to inherit the innovative spirit of Roh's Participatory Government based on new methods and contents with immanent criticism. This paper proposes the innovation for the "records management by everyone," where everyone involved needs to participate in and proceed with the innovation for the sake of democracy. Not just government offices but also corporations and even ordinary people need to participate in the process of records management and share the results. Records management is necessary and required in places where democracy is practiced, where historical events occur, and where technologies are continuously innovated around the world. This paper proposes 12 strategies and 35 tasks in 6 sectors where records management is required at present. In addition, it also suggests a methodological innovation for using the latest technologies, communicating with every entity, and governing decision-making.

• The Journal of Korea Assosiation for Disability and Oral Health
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• v.15 no.1
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• pp.7-13
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• 2019

The aim of this study was to clarify the barriers of dental treatment for special needs patients felt by dentists and to determine the dentist-related factors contributing to the obstacles in treatment planning and decision making. Questionnaires were distributed and responded by dentists working at five public-based special care clinics in South Korea. Factors divided into three parts (dentist demographics, clinical factors, and educational and administrational factors) were assessed and analyzed for correlations between dentist-related factors and dentist-felt burdens for special care treatment. Fisher's exact test and Chi-square test were used at the level of 0.05. A total of 34 dentists responded to the questionnaires. Almost all dentists had obstacles in the treatment of special needs patients in terms of the patients' lack of cooperation (94.1%), proxy communication with caregivers (94.1%), payment reward system (63.6%), deficient workforce (67.7%), and others. The longer dentists had been practicing for special needs patients, the more they were dissatisfied with the reward system and a longer time was spent for communication with patients and their caregivers (p<0.05). For specialists, more obstacles were experienced in treatment planning due to a deficiency in the clinical information obtained from their patients compared to general practitioners (p<0.05). A total of 82.4% of the respondents approved of mandatory educational programs for special care dentists. There were practitioner-based factors related to the amount of obstacles felt by special care dentists. To overcome the treatment barrier of special needs patients, in-depth education and training are required in special care dentistry.

• The Korean Journal of Applied Statistics
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• v.32 no.3
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• pp.391-404
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• 2019

Customers' fixed characteristics have often been used to predict customer behavior. It has recently become possible to track customer web logs as customer activities move from offline to online. It has become possible to collect large amounts of web log data; however, the researchers only focused on organizing the log data or describing the technical characteristics. In this study, we predict the decision-making time until each customer makes the first reservation, using Airbnb customer data provided by the Kaggle website. This data set includes basic customer information such as gender, age, and web logs. We use various methodologies to find the optimal model and compare prediction errors for cases with web log data and without it. We consider six models such as Lasso, SVM, Random Forest, and XGBoost to explore the effectiveness of the web log data. As a result, we choose Random Forest as our optimal model with a misclassification rate of about 20%. In addition, we confirm that using web log data in our study doubles the prediction accuracy in predicting customer behavior compared to not using it.

• Journal of Korean Society for Quality Management
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• v.47 no.1
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• pp.163-186
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• 2019

Purpose: The purpose of this study was to present a methodology for assessing the efficiency of supply chain quality management considering characteristics of defense industries to provide academic and policy implications for strengthening quality competitiveness of military supplies. Methods: Using the defense industry's empirical data, conduct an efficiency evaluation by utilizing a multi-stage DEA/Entropy Model for defense industries subject to the quality level survey of military goods manufacturers in 2017. Results: The results of this study are as follows; the first step of the multi-stage DEA model, Quality Management Performance Efficiency Analysis, shows that the CCR model and the BCC model are more efficient than the parent company. the second stage of the multi-stage DEA model showed that the CCR model was slightly more efficient than the parent company and the BCC model was more efficient than the parent.the overall efficiency value of the multistage DEA model, calculated by multipointing the efficiency value of the first stage by the second stage, was more efficient than the parent. Conclusion: The results of this study show that the efficiency of supply chian quality management performance and profitability in the defense industry can be analyzed for the first time using the multistage DEA/Entropy model to identify specific inefficiencies and support objective decision making.

• International Journal of Naval Architecture and Ocean Engineering
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• v.11 no.1
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• pp.22-32
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• 2019

On offshore platforms, oil and gas leaks are apt to be the initial events of major accidents that may result in significant loss of life and property damage. To prevent accidents induced by leakage, it is vital to perform a case-specific and accurate risk assessment. This paper presents an integrated method of Ddynamic Qquantitative Rrisk Aassessment (DQRA)-using the Decision Making Trial and Evaluation Laboratory (DEMATEL)-Bayesian Network (BN)-for evaluation of the system vulnerabilities and prediction of the occurrence probabilities of accidents induced by leakage. In the method, three-level indicators are established to identify factors, events, and subsystems that may lead to leakage, fire, and explosion. The critical indicators that directly influence the evolution of risk are identified using DEMATEL. Then, a sequential model is developed to describe the escalation of initial events using an Event Tree (ET), which is converted into a BN to calculate the posterior probabilities of indicators. Using the newly introduced accident precursor data, the failure probabilities of safety barriers and basic factors, and the occurrence probabilities of different consequences can be updated using the BN. The proposed method overcomes the limitations of traditional methods that cannot effectively utilize the operational data of platforms. This work shows trends of accident risks over time and provides useful information for risk control of floating marine platforms.

• Journal of the Korean Society of Clothing and Textiles
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• v.43 no.2
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• pp.274-287
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• 2019

Most corporations engage in Corporate Social Responsibility (CSR) activities. Consumers are aware of CSR activities in different domains and use the perception and evaluation in purchase decision making. This study reveals how the relationship between consumer perception about a fashion corporation's CSR activities and product evaluation (such as perceived expertise and attractiveness) affects behavioral intention. This study discussed implications for store designs depending on whether it is actively engaging in CSR communication. Two virtual fashion store images of modern or eco design were used as stimuli. The study was conducted from July to August, 2018 based on women in their 20s and 30s. We collected 154 eco designs and 157 modern design responses. The findings of the study show that consumer perceptions of CSR activities affected perceived expertise and attractiveness. Further, perceived expertise and attracti-veness led to purchase intention and time spent in the store. The store design variation had no differences in mean values of consumer perception; however, evaluation and purchase intention indicated that a varied store design emphasized different corporation capabilities.