• Journal of Radiation Protection and Research
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• v.44 no.2
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• pp.64-71
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• 2019

Background: It is very difficult to distinguish between a radioactive contamination source and background radiation from natural radionuclides in the marine environment by means of online monitoring system. The objective of this study was to investigate a statistical process for triggering abnormal level of count rate data measured from our on-line seawater radioactivity monitoring. Materials and Methods: Count rate data sets in time series were collected from 9 monitoring posts. All of the count rate data were measured every 15 minutes from the region of interest (ROI) for $^{137}Cs$ ($E_{\gamma}=661.6keV$) on the gamma-ray energy spectrum. The Shewhart ($3{\sigma}$), CUSUM, and Bayesian S-R control chart methods were evaluated and the comparative analysis of determination methods for count rate data was carried out in terms of the false positive incidence rate. All statistical algorithms were developed using R Programming by the authors. Results and Discussion: The $3{\sigma}$, CUSUM, and S-R analyses resulted in the average false positive incidence rate of $0.164{\pm}0.047%$, $0.064{\pm}0.0367%$, and $0.030{\pm}0.018%$, respectively. The S-R method has a lower value than that of the $3{\sigma}$ and CUSUM method, because the Bayesian S-R method use the information to evaluate a posterior distribution, even though the CUSUM control chart accumulate information from recent data points. As the result of comparison between net count rate and gross count rate measured in time series all the year at a monitoring post using the $3{\sigma}$ control charts, the two methods resulted in the false positive incidence rate of 0.142% and 0.219%, respectively. Conclusion: Bayesian S-R and CUSUM control charts are better suited for on-line seawater radioactivity monitoring with an count rate data in time series than $3{\sigma}$ control chart. However, it requires a continuous increasing trend to differentiate between a false positive and actual radioactive contamination. For the determination of count rate, the net count method is better than the gross count method because of relatively a small variation in the data points.

• Research in Community and Public Health Nursing
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• v.10 no.2
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• pp.291-306
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• 1999

Health promotion has come to the fore through new concept approach in consequence of the increase of chronic diseases. increase of medical cost and social trend of putting more emphasis on the individual responsibility for health. Studies of health promotion can be classified into two types: one is micro intervention method which is mainly focused on modifying individual life style and the other. macro intervention method in which they put another emphasis on the environment the individual is surrounded. in addition to modifying individual life style. This study belongs to the later. This study aims to develop nursing activities and program it for the purpose of community health promotion. The process of the study can be briefed as follows: to draw out nursing contents to intervene for community health promotion: to promote community health to develop nursing action indicators; to develop nursing action indicators for the development of main nursing activities. And those developed nursing activities are programmed systematically. The community health promotion program is composed of a hierarchical structure with nursing process that the nurses are supposed to apply to perform professional nursing. the level of nursing perform. the main items of nursing process. health promotion nursing indicators. health promotion nursing activities. The conclusion of this study according to objectives are as follows. First. community health promotion contents at individual and community level are remained revised and complemented and those at organizational level are developed. The developed main contents of community health promotion nursing are as follows. 1) Revised individual level nursing contents: 35 items. 2) Developed organizational level nursing contents: 24 items. 3) Revised community level nursing contents: 36 items. Second. for the development of the health promotion nursing action indicators. principles were set up and applied as follows. 1. Developed indicators should be provided with such qualities as comprehensiveness. diversity. developability, availability. practicability. 2. Developed indicators should be provided with functional abilities to measure the conditions and changes in any phenomena or state. inspect the development of the states. control the implementing program. evaluate the result of program and grasp what nurses should do. 3. Developed indicators should be provided with relevance and sequence. 4. Developed indicators should be undergo inspections from the expert. The developed community health promotion action indicators developed in this study. observing above mentioned principles. are total 330 indicators of 95 items. Third. when the main nursing activities were developed for each nursing action indicator. five priciples were set up in accordance with each nursing action indicators to decide main nursing activities. Main nursing activities developed observing those principles. are total 1273. Forth. for the programming of the developed nursing activities. three principles were set up. 1. The nursing activities are systematized in line with (nursing process) (nursing client) (key items of nursing process) (nursing action indicators for health promotion) (nursing activities). 2. The program is constructed in downward and hierarchical order. 3. The program is constructed not in relation to same level activities but in relation to high and low level activities. The process step of programming of developed main health promotion nursing activities are; Step 1. The Developed nursing action indicators are classified into nursing process. Step 2. The main nursing activities are allocated per each nursing action indicators. Step 3. The statement of main nursing activities are inspected. Step 4. The items of main nursing activities allocated by a certain nursing action indicators are sequenced. taking into consideration the elaborateness of activity. the sequency of activity. familiarity of activity. the difficulty of activity. the interest of activity. the frequency of activity. Step 5. The whole developed program should undergo comprehensive and critical inspections.

• The KIPS Transactions:PartD
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• v.12D no.6 s.102
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• pp.869-874
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• 2005

In the recent years there has been an increase of service competition in the activity of product selling, especially in the extension of warranty coverage and qualify. The variables in connection with the service competition are not crisp, and required the expertise of the production line. It thus becomes all the more necessary to use subtler tools as decision supports. These problems are typical not only of product companies but also of financial organizations, credit institutions, insurance, which need predictions of credibility for firms or persons in which they have any kind of interest. A suitable approach for minimizing the risk is to use a knowledge-based system. Most often expert systems are not standalone programs, but are embedded into a larger application. The aim of this paper is to discuss an approach for developing an embedded fuzzy expert system with respect to the product selling policy, especially to present the decision system of automobile selling activity around the extension of warranty coverage and quality. We use the MATLAB tools which integrates computation, visualization, and programming in an easy-to-use environment where problems and solutions are expressed in familiar mathematical notation. Also, we present the API functions embedding into the existing application.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.23 no.4
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• pp.391-414
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• 2012

Despite the growth in public concern about health information, the ratio of users who can search for accurate and reliable health information sources has been found to be quite low. Public libraries, as the best contact point to general users, must provide training programs for improving health literacy so that users will have the ability to search and analyze health information, judge the accuracy and reliability of resources, and make informed health-related decisions. This study developed a health information literacy education program suitable for Korean public library users. The effectiveness of the training was measured after administering the program, and necessary improvements were identified. As a result, this study found the education program had the following effects: improved public library users' familiarity with CHI-related terms, improved users' ability to find CHI-related information resources on the Internet, and significantly improved knowledge about health-related websites and information sources. In addition, users expressed interest in seminars on a variety of health information sources in the public library and asked that CHI-related education be included in the library's regular programming. However, this research represented the first time CHI-related education for public library users was performed in Korea, and therefore many limitations were present in the education instructor, the diversity of subjects, and the methodology. Development of more advanced CHI-related education programs for users is still required.

• Journal of The Korean Association of Information Education
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• v.17 no.1
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• pp.63-71
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• 2013

The purpose of this study was to investigate patterns of IT usage in gifted elementary students. There were 67 Computer Science gifted students and 38 Math/Science gifted students, a total of 105 students, who attended a Convergence Computer Science Camp for 3 days. They were given 20 questions on IT usage. The results showed that these gifted students started to use the computer from ages 7 to 9 (51.9%) and consider their level of usage as average (50.0%). They also expressed a desire to learn more to enhance learning. There were some differences between the Computer Science gifted students and Math/Science gifted students. The Computer Science gifted students spent more time at the computer, considered themselves as more capable in using the computer, and thought that the computer aided in learning more, Another difference is that Computer Science gifted students utilized the computer more for education and learning purposes(56.9%), whereas Math/Science gifted students used it for recreation purposes (40.5%). Furthermore, regarding areas of further interest, most Computer Science gifted students wanted to learn more about computer programming whereas Math/Science gifted students were more interested in learning presentation methods (26.3%). In conclusion, there was a difference between Computer Science gifted students and Math/Science gifted students in self-confidence, areas of utilization and computer related areas.

• Journal of the Korea Convergence Society
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• v.11 no.12
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• pp.1-13
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• 2020

With the advent of an intelligent information society, research toward artificial intelligence education was conducted. In previous studies, the subject of research is biased, and studies that analyze attitudes toward artificial intelligence are insufficient. So, in this study developed a test tool to measure the artificial intelligence of high school students and analyze their attitudes toward artificial intelligence. To develop the test tool, 229 high school students completed a preliminary test, of which the results were analyzed via exploratory factor analysis. To analyze the students' attitudes toward artificial intelligence, the resulting test tool was applied to 481 high school students, and their test results were analyzed according to factors. From the study's results, there was no difference according to gender in the students' attitudes toward artificial intelligence, but there was a significant difference per grade. In addition, there was a significant difference in attitudes according to artificial intelligence-related experiences: the high school students who had direct and indirect experience with artificial intelligence, programming, and more frequently used it had more positive attitudes toward artificial intelligence than students without this experience. However, artificial intelligence education experience negatively influenced the students' attitudes toward artificial intelligence. Overall, the higher their interest in artificial intelligence, the more positive the high school students' attitudes toward artificial intelligence.

• Korean Journal of Child Education & Care
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• v.19 no.2
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• pp.177-196
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• 2019

Objective: This study aims to analyze research trends related to software education for young children, focusing on studies published in Korea from 2016 to 2019 March. Methods: A total of 26 research publications on software education for young children, searched from Korea Citation Index and Research Information Sharing Service were identified for the analysis. The trend in these publications was classified and examined respectively by publication dates, types of publications, and the fields of study. To investigate a means of research, the analysis included key topics, types of research methods, and characteristics of the study variables. Results: The results of the analysis show that the number of publications on the topic of software education for young children has increased over the three years, of which most were published as a scholarly journal article. Among the 26 research studies analyzed, 16 (61.5%) are related to the field of early childhood education or child studies. Key topics and target subjects of the most research include the curriculum development of software education for young children or the effectiveness of software education on 4- and 5-year-old children. Most of the analyzed studies are experimental research designs or in the form of literature reviews. The most frequently studied research variable is young children's cognitive characteristics. For the studies that employ educational programs, the use of a physical computing environment is prevalent, and the most frequently used robot as a programming tool is "Albert". The duration of the program implementation varies, ranging from 5 weeks to 48 weeks. In the analyzed research studies, computational thinking is conceptualized as a problem-solving skill that can be improved by software education, and assessed by individual instruments measuring sub-factors of computational thinking. Conclusion/Implications: The present study reveals that, although the number of research publications in software education for young children has increased, the overall sufficiency of the accumulated research data and a variety of research methods are still lacking. An increased interest in software education for young children and more research activities in this area are needed to develop and implement developmentally appropriate software education programs in early childhood settings.

• Environmental and Resource Economics Review
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• v.15 no.4
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• pp.673-692
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• 2006

In order to test for the dynamic optimality condition for the use of nonrenewable resource, it is necessary to estimate the shadow value of the resource in situ. In the previous literatures, a time series for in situ price has been derived either as the difference between marginal revenue and marginal cost or by differentiating with respect to the quantity of ore extracted the restricted cost function in which the quantity of ore is quasi-fixed. However, not only inconsistent estimates are likely to be generated due to the nonmalleability of capital, but the estimate of marginal revenue will be affected by market power. Since firms will likely fail to minimize the cost of the reproducible inputs subject to market prices under realistic circumstances where imperfect factor markets, strikes, or government regulations are present, the shadow in situ values obtained by estimating the restricted cost function can be biased. This paper provides a valid methodology for checking the dynamic optimality condition for a nonrenewable resource by using the input distance function. Our methodology has some advantages over previous ones: only data on quantities of inputs and outputs are required; nor is the maintained hypothesis of cost minimization required; adoption of linear programming enables us to circumvent autocorrelated errors problem caused by use of time series or panel data. The dynamic optimality condition for domestic coal mining does not hold for constant discount rates ranging from 2 to 20 percent over the period 1970~1993. The dynamic optimality condition also does not hold for variable rates ranging from fourth to four times the real interest rate.

• Journal of Distribution Science
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• v.13 no.11
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• pp.123-130
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• 2015

Purpose - Due to highly elevated levels of competition, many companies today have to face the problem of decreasing profits even when their actual sales volume is increasing. This is a common phenomenon that is seen occurring among companies that focus heavily on quantitative growth rather than qualitative growth. These two aspects of growth should be well balanced for a company to create a sustainable business model. For supply chain management (SCM) planners, the optimized, quantified flow of resources used to be of major interest for decades. However, this trend is rapidly changing so that managers can put the appropriate balance between sales volume and sales quality, which can be evaluated from the profit margin. Profit optimization is a methodology for companies to use to achieve solutions focused more on profitability than sales volume. In this study, we attempt to provide executional insight for companies considering implementation of the profit optimization system to enhance their business profitability. Research design, data, and methodology - In this study, we present a comprehensive explanation of the subject of profit optimization, including the fundamental concepts, the most common profit optimization logic algorithm -linear programming -the business functional scope of the profit optimization system, major key success factors for implementing the profit optimization system at a business organization, and weekly level detailed business processes to actively manage effective system performance in achieving the goals of the system. Additionally, for the purpose of providing more realistic and practical information, we carefully investigate a profit optimization system implementation case study project fulfilled for company S. The project duration was about eight months, with four full-time system development consultants deployed for the period. To guarantee the project's success, the organization adopted a proven system implementation methodology, supply chain management (SCM) six-sigma. SCM six-sigma was originally developed by a group of talented consultants within Samsung SDS through focused efforts and investment in synthesizing SCM and six-sigma to improve and innovate their SCM operations across the entire Samsung Organization. Results - Profit optimization can enable a company to create sales and production plans focused on more profitable products and customers, resulting in sustainable growth. In this study, we explain the concept of profit optimization and prerequisites for successful implementation of the system. Furthermore, the efficient way of system security administration, one of the hottest topics today, is also addressed. Conclusion - This case study can benefit numerous companies that are eagerly searching for ways to break-through current profitability levels. We cannot guarantee that the decision to deploy the profit optimization system will bring success, but we can guarantee that with the help of our study, companies trying to implement profit optimization systems can minimize various possible risks across various system implementation phases. The actual system implementation case of the profit optimization project at company S introduced here can provide valuable lessons for both business organizations and research communities.

• Journal of The Korean Association For Science Education
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• v.38 no.5
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• pp.649-665
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• 2018

In this study, we extracted the core competencies of makers through the analysis of critical incident technique and behavioral event interview to explore the nature and attributes of maker education, and then we developed a maker competency model based on these core competencies. As a result, six competency groups and 23 sub-competencies were extracted. In other words, we were able to confirm the existence of integrated thinking competency group consisting of four competencies made up of 'analytic thinking', 'intuitive thinking', 'visual thinking', and 'empirical thinking' and that of collaborative competency group with four competencies of 'sharing', 'communication', 'conflict management', and 'scrupulosity'. In addition, we could also confirm the existence of making mind competency group, which is composed of four competencies namely 'interest in various areas', 'challenge consciousness', 'failure management', and 'pleasure of the making process'. We could also confirm that human-centered competence group consisting of two competencies of 'humanity' and 'user-oriented' and the problem-finding competence group consisting of two competencies of 'observation' and 'recognition of discomfort in daily life'. Lastly, the making practice competency group is composed of seven competencies: 'understanding making tool', 'understanding electricity', 'understanding programming', 'planning', 'hand knowledge', 'information search', and 'direct execution'. We discussed educational implications of these findings.