• Women's Health Nursing
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• v.12 no.2
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• pp.132-141
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• 2006

Purpose: The purpose of this study was to supply basic data for a health promoting program and to elevate the level of it by examining whether university students' health promoting behaviors were related to health perception, health concept, self- esteem, perceived benefits of action, perceived barriers of action, perceived self-efficacy, activity-related affect, social support, preference, prior related behavior, and a plan for action. Method: Subjects were 192 university students in K city. Data collection method was a structured questionnaire. Data was analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation, and stepwise multiple regression. Result: The most powerful predictor was previous related behavior (36%). Altogether previous related behavior, health status, a plan for action, perceived self-efficacy and number of admissions were proven to account for 57% of health promoting behaviors. Conclusion: It suggested that prior related behavior, health status, a plan for action, perceived self-efficacy, and number of admissions should be considered when developing a students' health promoting program.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.194-196
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• 2021

This focuses on the Cultivation Plan Service at the preliminary production phase is critical in that it supports agricultural producers' decision by providing related information such as predicted crop production or expected profits for consulting or other agricultural information when they plan to cultivate. This paper describes the reference architecture of the farming sector will benefit immensely from the implementation of farming data in farming contents repository which will serve as the knowledge base for the Cultivation Plan Service at the pre-production stage based on Big data analysis.

• The Journal of the Korean dental association
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• v.51 no.5
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• pp.265-273
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• 2013

The insurance payment plan for dental implants in Korea has been criticized because the payment priority has not been properly established, and the benefits are concentrated among middle-class citizens. In the current study, the relationship between the oral health condition and socioeconomic status of the elderly was analyzed using data from the Korea National Health and Nutrition Examination Survey (KNHANES). This study aims to determine the reason underlying the criticism of the insurance payment plan. The subjects were >65-year-old individuals in the 2010 and 2011 database of KNHANES. Data from 2,812 subjects were analyzed. The socioeconomic status was determined based on edentulousness, molar tooth loss, and presence of 28 teeth. According to the analysis, the average income was 1,560,000 won for edentulous elderly, 1,811,000 won for elderly who had lost molar teeth, and 1,896,000 won for elderly with 28 teeth (p<0.05). In addition, elderly with a low education level demonstrated a poor oral health condition (p<0.001). In conclusion, the insurance plan currently under examination is not properly designed for economically impoverished elderly because the plan only covers 50% of the costs and is limited to implantation of molar teeth only. This plan will not provide practical benefits to elderly with a poor socioeconomic status; therefore, the insurance payment plan needs to be improved so that the appropriate beneficiaries can be targeted.

• Journal of the Korean Society of Marine Environment & Safety
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• v.29 no.3
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• pp.281-287
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• 2023

Establishing a ship's passage plan is an essential step before it starts to sail. The research related to the automatic generation of ship passage plans is attracting attention because of the development of maritime autonomous surface ships. In coastal water navigation, the land, islands, and navigation rules need to be considered. From the path planning algorithm's perspective, a ship's passage planning is a global path-planning problem. Because conventional global path-planning methods such as Dijkstra and A^* are time-consuming owing to the processes such as environmental modeling, it is difficult to modify a ship's passage plan during a voyage. Therefore, the D^* algorithm was used to address these problems. The starting point was near Busan New Port, and the destination was Ulsan Port. The navigable area was designated based on a combination of the ship trajectory data and grid in the target area. The initial path plan generated using the D^* algorithm was analyzed with 33 waypoints and a total distance of 113.946 km. The final path plan was simplified using the Douglas-Peucker algorithm. It was analyzed with a total distance of 110.156 km and 10 waypoints. This is approximately 3.05% less than the total distance of the initial passage plan of the ship. This study demonstrated the feasibility of automatically generating a path plan in coastal navigation for maritime autonomous surface ships using the D^* algorithm. Using the shortest distance-based path planning algorithm, the ship's fuel consumption and sailing time can be minimized.

• Journal of Digital Contents Society
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• v.5 no.2
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• pp.106-113
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• 2004

Once the objective of project is set up to alter the present situation to acertain future situation necessary measures need to be taken to accomplish it. In the past, making a plan and transformation was done in the form of handwork, but this article addresses analyzing and handing the project data by using a tool of Microsoft Office System and then by making a reasonable plan. This system also helps transform project data into Excel data and analyze it using Excel, and transform project data into xml data and construct xml database so that it makes it possible to handle and use data efficiently, and to set up automatic project system in the future which leads to efficient project management.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.404-406
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• 2022

In this study, a data science class plan was designed for the high school credit system in general high schools. Since it is difficult to secure class hours in elementary and middle schools or general high schools, learners cannot freely take new subjects such as data science. Therefore, a lesson plan was designed based on the ADDIE model for 15 students who applied for data science at general high schools in A city. Through this study, it was possible to design the data science class according to the learning method.

• Asian Journal of Atmospheric Environment
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• v.5 no.4
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• pp.228-236
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• 2011

Since most Green House Gases (GHGs) and air pollutants are generated from the same sources, it will be cost-effective to develop a GHGs reduction plan in combination with simultaneous removal of air pollutants. However, effects on air pollutants reduction according to implementing any GHG abatement plans have been rarely studied. Reflecting simultaneous removal of air pollutants along with the GHGs emission reduction, this study investigated relative cost effectiveness among GHGs reduction action plans in Busan Metropolitan City. We employed the Data Envelopment Analysis (DEA), a methodology that evaluates relative efficiency of decision-making units (DMUs) producing multiple outputs with multiple inputs, for the investigation. Assigning each GHGs reduction action plan to a DMU, implementation cost of each GHGs reduction action plan to an input, and reduction potential of GHGs and air pollutants by each GHGs reduction action plan to an output, we calculated efficiency scores for each GHGs reduction action plan. When the simultaneous removal of air pollutants with the GHGs reduction were considered, green house supply-insulation improvement and intelligent transportation system (ITS) projects had high efficiency scores for cost-positive action plans. For cost-negative action plans, green start network formation and running, and daily car use control program had high efficiency scores. When only the GHGs reduction was considered, project priority orders based on efficiency scores were somewhat different from those when both the removal of air pollutants and GHGs reduction were considered at the same time. The expected action plan priority difference is attributed to great difference of air pollutants reduction potential according to types of energy sources to be reduced.

• Journal of the Korean Solar Energy Society
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• v.34 no.4
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• pp.101-109
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• 2014

The Consultation about Energy Use Plan is prescribed by the Energy Use Rationalization Act. This study calculated the Standard Data for Energy Use Plan of Industry Complex by the 9th Korean Standard Industrial Classification Divisions so that the energy demand reflecting the industrial technology change and characteristics of Manufacturing Divisions would predict. To achieve this aim, analysis on thousands of data in Energy Consumption Report Forms reported from industries which annual consumption of energy exceeds 2,000toe from 2009 to 2010 was carried out. The results showed that calculated overall mean fuel basic unit decrease, electricity basic unit increase and energy basic unit increase compared to that of the Notification No. 2002-130 of the Ministry of Commerce, Industry and Energy, therefore it means that heat source of energy facilities transferred from fuel to electricity. Also resultingly suggests that the related notification, code etc. are amended as soon as possible.

• Nuclear Engineering and Technology
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• v.54 no.10
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• pp.3788-3794
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• 2022

The possibility of denuclearization of the Korean Peninsula has been continuously debated, and the initiative participation of the Republic of Korea has necessitated preemptive measures against neighboring countries. In this study, we present a proposal for formulating a site survey plan when the amount of site information provided is insufficient and the accuracy of the information is not guaranteed. Considering a case wherein "a soil sample analysis is used to determine the presence or absence of nuclear activity" in a radiochemical laboratory, which is a typical key facility for denuclearization, the optimal soil sample collection plan is designed based on international guidelines and public information. In the event of denuclearization, a scenario that is not based on the expertise of the sample collector is set, and the data quality objective (DQO) process is applied to ensure reality. Consequently, the primary sample collection points can be derived in consideration of accessibility, and the sample collection scale can be adjusted according to the cost. By applying the DQO process to ensure sample representativeness and reality, reliable and resource-efficient soil sample collection can be achieved in radiochemical laboratories and other denuclearization facilities.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.29 no.2
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• pp.85-108
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• 2018

This study aimed to analyze media reports of the Comprehensive Library Advancement Plan using big data analysis in order to determine trends and implications by period. To do so, related data from 2009 to 2017 were collected from major domestic web portal sites. Words in the collected data were refined through the text mining process and frequency, centrality, and structural equivalence analyses were performed. Results confirmed that, during the implementation of the first and the second phases of the Comprehensive Library Advancement Plan, the focus of the library policy changed from external growth to strengthening internal stability and advancement of library operation, and the media coverage were limited to specific policies such as expansion of library facilities. Findings from this study will serve as useful material for ascertaining the approach to perceive and understand the national library policy represented by the Comprehensive Library Advancement Plan.