• Journal of The Korean Association For Science Education
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• v.29 no.4
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• pp.359-372
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• 2009

The purpose of this study was to develop the FPHER (problem finding, prediction & discussion, hands-on & experiment, explanation & arrangement, enrichment) instructional model emphasizing the social interactions, and as applied, characteristics of verbal interactions were examined overall and with each step. For this study, this model was applied to the students in 10th grade chemistry classes in a science high school, and their group verbal interactions were recorded and analyzed. The results of this study show that most verbal interactions were classified as on-task interactions in the FPHER instructional model, where suggestions were predominant to the acceptance of opinions. There were a few interactions in the F step, and there were many suggestions relating to the solutions and lacking in confidence in the P step. There were many suggestions relating to the process and orders in the H step. Also, there were many questions, some explanation and dissatisfaction, as well as a lack of confidence in the E step. There were many high-level interactions in the R step, and mainly interactions with worksheets showing high-level problem-solving abilities. More in-depth research is needed to develop the teaching strategies that can activate student-to-student interaction and student-teacher interaction with regard to instructions, enhancing thought as counter-argument, justification or sophistication, based on the instructional model in this study.

• Journal of the Korean Society of Radiology
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• v.82 no.5
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• pp.1124-1139
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• 2021

The objective assessment of atrophy and the measurement of brain volume is important in the early diagnosis of dementia and neurodegenerative diseases. Recently, several MR-based volumetry software have been developed. For their clinical application, several issues arise, including the standardization of image acquisition and their validation of software. Additionally, it is important to highlight the diagnostic performance of the volumetry software based on expert opinions. We instituted a task force within the Korean Society of Neuroradiology to develop guidelines for the clinical use of MR-based brain volumetry software. In this review, we introduce the commercially available software and compare their diagnostic performances. We suggest the need for a standard protocol for image acquisition, the validation of the software, and evaluations of the limitations of the software related to clinical practice. We present recommendations for the clinical applications of commercially available software for volumetry based on the expert opinions of the Korean Society of Neuroradiology.

• Korean Chemical Engineering Research
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• v.62 no.3
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• pp.214-224
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• 2024

Valves play an essential role in a chemical plant such as regulating fluid flow and pressure. Therefore, optimal selection of the valve size and type is essential task. Valve size and type have been selected based on theoretical formulas about calculating valve sizing coefficient (Cv). However, this approach has limitations such as requiring expert knowledge and consuming substantial time and costs. Herein, this study developed a model for predicting valve sizes and types using machine learning. We developed models using four algorithms: ANN, Random Forest, XGBoost, and Catboost and model performances were evaluated using NRMSE & R² score for size prediction and F1 score for type prediction. Additionally, a case study was conducted to explore the impact of phases on valve selection, using four datasets: total fluids, liquids, gases, and steam. As a result of the study, for valve size prediction, total fluid, liquid, and gas dataset demonstrated the best performance with Catboost (Based on R², total: 0.99216, liquid: 0.98602, gas: 0.99300. Based on NRMSE, total: 0.04072, liquid: 0.04886, gas: 0.03619) and steam dataset showed the best performance with RandomForest (R²: 0.99028, NRMSE: 0.03493). For valve type prediction, Catboost outperformed all datasets with the highest F1 scores (total: 0.95766, liquids: 0.96264, gases: 0.95770, steam: 1.0000). In Engineering Procurement Construction industry, the proposed fluid-specific machine learning-based model is expected to guide the selection of suitable valves based on given process conditions and facilitate faster decision-making.

• Journal of Korean Society of Archives and Records Management
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• v.4 no.2
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• pp.41-75
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• 2004

This research discusses how to improve the current environment for record management in relation to the Revision of the Law of Record Management in South Korea. Three major issues are: 1) Legal status of the National Archives & Records Service of Korea as the government institution in charge of managing centrally records, 2) System for the education and training of professionals who specialize in record management, and 3) Foundation of the national museum and archives of records. Findings are as follows: First, the existing 'National Office of Records' as the government institution in charge of managing records, should be promoted to the 'National Archives & Records Service of Korea' in order to be administered by the class of a vice-minister in the Ministry of Government Administration and Home Affairs. Second, the qualification criteria which currently requires the Master's degree of Record Management, should be modified to include the Bachelor's degree in the field in order to expand the pool of professional human resources. Also, to hire the public officials for record management, either the positions of 'researcher/record manager group' should be created, or the existing positions of librarian, archivist, and record manager should be integrated into the new position of 'record culture group'. Third, the most significant task for the office of record management of local governments is to inherit and further develop the traditional culture and documentary legacy which are unique to those local communities and governments at various levels, and a priority should be given to those tasks. Therefore, when the Law of Record Management will be later revised, the establishment of the office of record management for local governments at every level should be required, and the museum and archives of records should be also established as a significant part of the institution. Unique local culture and history of particular communities should be collected and preserved in systematically specialized and differentiated ways in those institutions of record management, and the names should be uniquely given to the institutions according to the characteristics of local governments.

• Journal of Intelligence and Information Systems
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• v.17 no.3
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• pp.131-146
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• 2011

It is becoming more essential than ever for office professionals to become competent in information collection/gathering and problem solving in today's global business society. In particular, office professionals do not only assist simple chores but are also forced to make decisions as quickly and efficiently as possible in problematic situations that can end in either profit or loss to their company. Since office professionals rely heavily on their tacit knowledge to solve problems that arise in everyday business situations, it is truly helpful and efficient to refer to similar business cases from the past and share or reuse such previous business knowledge for better performance results. Case-based reasoning(CBR) is a problem-solving method which utilizes previous similar cases to solve problems. Through CBR, the closest case to the current business situation can be searched and retrieved from the case or knowledge base and can be referred to for a new solution. This reduces the time and resources needed and increase success probability. The main purpose of this study is to design a system called COKRS(Case-based reasoning Office Knowledge Recommender System) and develop a prototype for it. COKRS manages cases and their meta data, accepts key words from the user and searches the casebase for the most similar past case to the input keyword, and communicates with users to collect information about the quality of the case provided and continuously apply the information to update values on the similarity table. Core concepts like system architecture, definition of a case, meta database, similarity table have been introduced, and also an algorithm to retrieve all similar cases from past work history has also been proposed. In this research, a case is best defined as a work experience in office administration. However, defining a case in office administration was not an easy task in reality. We surveyed 10 office professionals in order to get an idea of how to define a case in office administration and found out that in most cases any type of office work is to be recorded digitally and/or non-digitally. Therefore, we have defined a record or document case as for COKRS. Similarity table was composed of items of the result of job analysis for office professionals conducted in a previous research. Values between items of the similarity table were initially set to those from researchers' experiences and literature review. The results of this study could also be utilized in other areas of business for knowledge sharing wherever it is necessary and beneficial to share and learn from past experiences. We expect this research to be a reference for researchers and developers who are in this area or interested in office knowledge recommendation system based on CBR. Focus group interview(FGI) was conducted with ten administrative assistants carefully selected from various areas of business. They were given a chance to try out COKRS in an actual work setting and make some suggestions for future improvement. FGI has identified the user-interface for saving and searching cases for keywords as the most positive aspect of COKRS, and has identified the most urgently needed improvement as transforming tacit knowledge and knowhow into recorded documents more efficiently. Also, the focus group has mentioned that it is essential to secure enough support, encouragement, and reward from the company and promote positive attitude and atmosphere for knowledge sharing for everybody's benefit in the company.

• Management & Information Systems Review
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• v.37 no.1
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• pp.75-101
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• 2018

Social enterprise in Korea has faced with many problems such as small size, management capability, lack of technology and weak ability to obtain resources despite its quantitative growth, raising concern over sustainability of social enterprises. Despite such tough environment, unique feature of social enterprise, differentiated from commercial enterprise is that it has clear social mission. In addition, social enterprise has the organizational feature in that vulnerable social group of workers coexists with ordinary workers, and plays a role of helping independence of vulnerable social group. Due to this feature, successful organizational socialization of members in social enterprise is a very important feature. Based on assumption that social mission of social enterprise can be utilized as the unique competitiveness of social enterprise through vision-sharing in the organization, and may give positive effects on successful organizational socialization of organization members, this study aims to conduct empirical research on relationship between vision-sharing and organizational socialization and to explore mediation effects of organizational health as organizational environmental element in relationship between vision sharing and organizational socialization. This study was conducted on 156 employees working at social enterprises. As a result of study, first, vision sharing is found to have positive effects on organizational socialization at social enterprises. Second, vision sharing in social enterprise has positive effects on organizational health. Third, vitality and community-oriented in social enterprise are found to have mediation effects among lower elements of organizational health in relationship between vision sharing and organizational socialization. In conclusion, it is confirmed that the more visions of organization are shared, the more members recognize their organization healthy, resulting in successful organizational socialization. This study is meaningful in that it presents the plans for successful organizational socialization of members of social enterprise including vulnerable groups and that it is the empirical study on plans of social enterprise on human resource management.

• Journal of the Korean Society of Earth Science Education
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• v.3 no.2
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• pp.99-108
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• 2010

This study lays its purpose on examining the effects of lessons with the application of drawing tasks on changes in conception among gifted science students. The lesson with the application of drawing tasks means the lesson where students express key concepts regarding lesson subjects in drawings which are then applied to the lessons to develop conception among the learners. This study analyzed the effectiveness of lessons by comparing conception scores before and after experiments between an experiment group with the application of drawing tasks and a control group with normal lessons for the gifted in general for 8 months from March to October, 2008. In addition, the researcher examined how the effectiveness of the developed lessons show differently according to levels of meta-cognition, creative problem-solving abilities, and scientific inquiry skills among the gifted students. The results from this study are as the following. First, lessons with the application of drawing tasks were effective in changing conception among the gifted science students. It is possibly because in the process where one student compare his/her own drawings with the others' ones and discuss them, changes in conception occurred effectively among the learners. Second, it was revealed that lessons utilizing drawing tasks have equal effects on changes in conception among both student groups irrespective of their levels of meta-cognition. Accordingly the lesson for changing perceptions utilizing drawing tasks developed in this study is a program which can be applied to all gifted science students in order to change conception among them. Third, lessons utilizing drawing tasks have the greatest effects on the gifted science students at a 'middle' level of creative problem solving abilities. Fourth, lessons utilizing drawing tasks have the greatest effects on the gifted science students at a 'middle' level of scientific inquiry skills. Putting these results together, it is thought that if lessons utilizing drawing tasks are applied to gifted science students, not only their concepts would be changed effectively but also their attitudes toward science would be changed positively.

• Journal of Intelligence and Information Systems
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• v.22 no.4
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• pp.177-192
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• 2016

Machine learning is a field of artificial intelligence. It refers to an area of computer science related to providing machines the ability to perform their own data analysis, decision making and forecasting. For example, one of the representative machine learning models is artificial neural network, which is a statistical learning algorithm inspired by the neural network structure of biology. In addition, there are other machine learning models such as decision tree model, naive bayes model and SVM(support vector machine) model. Among the machine learning models, we use SVM model in this study because it is mainly used for classification and regression analysis that fits well to our study. The core principle of SVM is to find a reasonable hyperplane that distinguishes different group in the data space. Given information about the data in any two groups, the SVM model judges to which group the new data belongs based on the hyperplane obtained from the given data set. Thus, the more the amount of meaningful data, the better the machine learning ability. In recent years, many financial experts have focused on machine learning, seeing the possibility of combining with machine learning and the financial field where vast amounts of financial data exist. Machine learning techniques have been proved to be powerful in describing the non-stationary and chaotic stock price dynamics. A lot of researches have been successfully conducted on forecasting of stock prices using machine learning algorithms. Recently, financial companies have begun to provide Robo-Advisor service, a compound word of Robot and Advisor, which can perform various financial tasks through advanced algorithms using rapidly changing huge amount of data. Robo-Adviser's main task is to advise the investors about the investor's personal investment propensity and to provide the service to manage the portfolio automatically. In this study, we propose a method of forecasting the Korean volatility index, VKOSPI, using the SVM model, which is one of the machine learning methods, and applying it to real option trading to increase the trading performance. VKOSPI is a measure of the future volatility of the KOSPI 200 index based on KOSPI 200 index option prices. VKOSPI is similar to the VIX index, which is based on S&P 500 option price in the United States. The Korea Exchange(KRX) calculates and announce the real-time VKOSPI index. VKOSPI is the same as the usual volatility and affects the option prices. The direction of VKOSPI and option prices show positive relation regardless of the option type (call and put options with various striking prices). If the volatility increases, all of the call and put option premium increases because the probability of the option's exercise possibility increases. The investor can know the rising value of the option price with respect to the volatility rising value in real time through Vega, a Black-Scholes's measurement index of an option's sensitivity to changes in the volatility. Therefore, accurate forecasting of VKOSPI movements is one of the important factors that can generate profit in option trading. In this study, we verified through real option data that the accurate forecast of VKOSPI is able to make a big profit in real option trading. To the best of our knowledge, there have been no studies on the idea of predicting the direction of VKOSPI based on machine learning and introducing the idea of applying it to actual option trading. In this study predicted daily VKOSPI changes through SVM model and then made intraday option strangle position, which gives profit as option prices reduce, only when VKOSPI is expected to decline during daytime. We analyzed the results and tested whether it is applicable to real option trading based on SVM's prediction. The results showed the prediction accuracy of VKOSPI was 57.83% on average, and the number of position entry times was 43.2 times, which is less than half of the benchmark (100 times). A small number of trading is an indicator of trading efficiency. In addition, the experiment proved that the trading performance was significantly higher than the benchmark.

• Journal of dental hygiene science
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• v.17 no.2
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• pp.142-149
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• 2017

This study targeted 123 dental hygienists working at the university and dental hospital as well as the dental clinic in Busan. The study ran for 5 months beginning July 23, 2016. The purpose of the study was to understand the relationship between core competencies and job performance for dental hygienists. The major core competencies of dental hygienists were interpersonal relation competency (3.61) was the highest, followed by management and educational competency (3.59), organizational relation competency (3.57), and basic dental hygiene management competency (3.56). Regarding the subjects' job performance, 'the task requested by a boss could be finished by the deadline' (3.93) was the highest, followed by 'there has been no case where others were harmed owing to carelessness' (3.76). 'The performance exceeding the targets set by the boss' (3.11) was relatively low. The group working for dental hospitals showed higher job performance than the group working for dental clinics (p=0.009) while there were high correlations between core competencies and job performance (p=0.733). Also, analysis for understanding relevant variables of core competencies that affected job performance revealed that the interpersonal relation competency (p=0.25), self-control competency (p=0.32), and basic dental hygiene competency (p=0.15) were significant. In summary, reinforcement of the dental hygienists' core competencies has a positive effect on job performance. Improved job performance in turn should improve patient care as well as the performance of the healthcare organization overall which will be eventually helpful to the provision of high-quality medical service to patients, and helpful for the hospital organization Helpful in making their performance better. Therefore, it would be necessary to establish administrative/educational support to facilitate dental hygiene education to develop major competencies and vocational basic abilities, as well as reinforce diverse competency educational programs for the current dental hygienists.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.36 no.2
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• pp.21-29
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• 2018

This study was wanted to select a value evaluation item to maintain the authenticity of the Planting Landscape in Hahoe and Yangdong villages. Above all, after checking the suitability of the 43 selected items by the Focus Group Interview, the weight was calculated in the Analytic Hierarchy Process expert questionnaire to establish the importance of the indicators for the development of the assessment items. The expert analysis analyzed the importance of 2 sections, 6 divisions and 11 detailed categories, and summarized the results of the study as follows : First, the comparative importance of each category and selection of the assessment items for the stabilization of the Planting Landscape of Hahoe and Yangdong indicated that cultural values are more important than biological values. In particular, details of the biological values of trees were derived with relatively low estimates, except for the specific characteristics of species and items of type of tree. Second, as a result of verification of the suitability of the 43 items selected by the Focus Group Interview, the source diameter, the collection width, reception, flushing, supersonality, records, memorials, 11 items were selected, Third, the results of the importance evaluation of the value properties for maintaining the resistance of vegetation through the Analytic Hierarchy Process were : specific in biological values (0.187), steady (0.094), and water pipe width (2007). There was relatively little difference in the highest weights, the width of the pipe except for the lowest value received, and the source diameter flushing. Fourth, the results of an evaluation of the importance of a value property aimed at historical values were whether or not the cultural asset was designated (0.134), the record value (0.092), the time (0.088), and the monument (0.063). In terms of the importance of evaluating the historical values of Planting sites consisting of Hahoe and Yangdong, the importance of designation of cultural properties was considered to be relative to the maintenance of the Planting Landscape including culture and history. Based on the assessment items and weighted values of the Planting Landscape of Yangdong Village and the World Cultural Heritage below and below, this study's Analytic Hierarchy Process can be applied to actual criteria for the assessment of the authenticity of trees in the village. Based on the assessment items and weighted values of the Planting Landscape in Hahoe and Yangdong villages, a follow-up study on the assessment standards for the authenticity of trees in the village will be left as a future task.