• The Korean Society of Law and Medicine
• /
• v.22 no.1
• /
• pp.3-23
• /
• 2021

Telemedicine is a field of medicine in which medicine doctors who are in remote distance can treat the patients using audio, video devices which can help the diagnosis. In medicine, even the face-to-face diagnosis and treatment is the traditional way, the telemedicine could provide the convenient way for the patients in long distance, disabled or anyone who want to be stay ones' home. But telemedicine has the task to maintain the quality of medical cares compare with the traditional medicine. Among the several types of telemedicine, the specific type telemedicine in which the medicine doctors examine, diagnosis and do the prescription to the remotely distanced patients could be defined tele-prescription. Under The Medical Service act, it is unclear that teleprescription could be allowed. The Medical Service Act has introduced the specific clause for the prescription. That clause includes the duty of patients who have to receive the prescriptions directly from medical doctors. Under this clause, the constitutional court had decided the tele-prescription was illegal, but the supreme court has been decided tele-prescription could be legalized under the certain circumstances. But the other supreme court decided the tele-prescription was illegal under the article 34 of presenting Medical Service Act. So to understand the interpretations of Supreme court and Constitutional court decisions for the cases of prescription via telephone, we need to understand the history and presented reasons for the revision of prescription clause and also need to understand the other related clauses in the same act. In conclusion, To consider the values of telemedicine should be the level with the ordinary treatments, It is reasonable to interpret that the presenting Medical Service Act only legalize the telemedicine between doctor to doctor and which is regulated by the telemedicine clause.

• Journal of Korean Home Economics Education Association
• /
• v.32 no.4
• /
• pp.31-51
• /
• 2020

The purpose of this study is to review and draw lessons from the case of Family and Consumer Sciences(FCS) curriculums in Ohio and to provide implications to the designing of HE elective courses for high schools in Korea. For this, 19 curriculum documents that are available from the website of the Ohio Ministry of Education were analyzed. As a result of the analysis, the following conclusions were drawn: First, following the example of the Ohio Pathway which was developed in consideration of the characteristics of the field, college admission, student's interests, and the societal change, it is recommended that Korean HE curriculum consider developing HE Pathway that reflects the characteristics of Korean HE education system. Second, Ohio's FCS curriculum offers a well-structured system consisting of total 18 courses and contents within the four broad FCS Pathway themes. Thus, it is suggested that the Korean Home Economics Education Association organize a task force to develop 'HE Pathways'-'College majors'-'Elective career focused courses', and student-centered career exploratory elective courses focusing on the students' needs. Third, it is necessary for HE teachers and professors to newly develop basic elective courses which lays the foundation for understanding of Home Economics and help students to follow advanced HE elective courses. Lastly, there is a need for designing career-focused elective courses that can provide practical resources for the college admission process by interviewing college admission officers, education specialists, career counselors, college admission specialists, home economic professors and teachers.

• Journal of Korean Society of Water and Wastewater
• /
• v.35 no.6
• /
• pp.417-424
• /
• 2021

Algal bloom is an ongoing issue in the management of freshwater systems for drinking water supply, and the chlorophyll-a concentration is commonly used to represent the status of algal bloom. Thus, the prediction of chlorophyll-a concentration is essential for the proper management of water quality. However, the chlorophyll-a concentration is affected by various water quality and environmental factors, so the prediction of its concentration is not an easy task. In recent years, many advanced machine learning algorithms have increasingly been used for the development of surrogate models to prediction the chlorophyll-a concentration in freshwater systems such as rivers or reservoirs. This study used a light gradient boosting machine(LightGBM), a gradient boosting decision tree algorithm, to develop an ensemble machine learning model to predict chlorophyll-a concentration. The field water quality data observed at Daecheong Lake, obtained from the real-time water information system in Korea, were used for the development of the model. The data include temperature, pH, electric conductivity, dissolved oxygen, total organic carbon, total nitrogen, total phosphorus, and chlorophyll-a. First, a LightGBM model was developed to predict the chlorophyll-a concentration by using the other seven items as independent input variables. Second, the time-lagged values of all the input variables were added as input variables to understand the effect of time lag of input variables on model performance. The time lag (i) ranges from 1 to 50 days. The model performance was evaluated using three indices, root mean squared error-observation standard deviation ration (RSR), Nash-Sutcliffe coefficient of efficiency (NSE) and mean absolute error (MAE). The model showed the best performance by adding a dataset with a one-day time lag (i=1) where RSR, NSE, and MAE were 0.359, 0.871 and 1.510, respectively. The improvement of model performance was observed when a dataset with a time lag up of about 15 days (i=15) was added.

• Journal of vocational education research
• /
• v.35 no.6
• /
• pp.65-84
• /
• 2016

This study aims to explore the duty system of the lifelong learning counseling, and to analyze the needs of counseling practice which are conceived by lifelong education practitioners. Based on the related prior studies, the duty system of lifelong learning counseling was investigated and classified. Also, differences of how to recognize the importance of counseling job and how to practice counseling are assessed by Borich method. After data were collected by practitioners from lifelong education field, the dependent t-test and the Borich needs assessment formula were used for analysis of the collected data. The results are as follows: the 4 subdivided duties of lifelong learning counseling are formation of relationship, learner's analysis, learning promotion, and follow-up management. The 11 tasks are learner's interview, providing learning information, analysis of learner's characteristics and needs, learning level diagnosis, diagnosis of learning inhibiting factors, promotion of learning motivation, advice of learning course and learning method, support of study circle activity, career planning counseling, follow-up counseling, and counseling evaluation. According to the needs assessment, learner's analysis is conceived as the most important duty among the 4 sub-duties, and learner's analysis is regarded as second important duty by the counseling practitioners. Among the 11 tasks, providing learning information is the most important tasks among counseling practitioners, and analysis of learner's characteristics and needs is followed as second task. The duty system of the lifelong learning counseling and needs assessment data can be used as the basic data for lifelong education practitioners to conduct the duty of lifelong learning counseling efficiently and to support the lifelong learning plan according to learner's characteristics.

• The Korean Journal of Archival Studies
• /
• no.13
• /
• pp.3-40
• /
• 2006

The archives and records management 'reform' has spreaded out through the third quarter of 2004. There are many evidences such as the change of the Office of the President's management on the record production, 'the reforming road map for the final draft on the archives and records management.' This method spreads into the Cabinets. So it is improved these rosy conditions was upgraded by the laws and regulations. We also hope that the conditions of the records management to be a higher level than before. However the actual conditions of the records management are not good comparing with the law and regulations. I think this unbalance is a serious problem. The reason of the 'failed history' during past time was caused not by the laws itself but by the indifference and negligence on the laws. The academic field and NGO have continuously required some essential suggestions on that problem; political neutrality and independent of the National Archives, the employment of specialists and the improvement of their skills etc. But these requirements have not accepted yet. This revised records management law also has not applied to the road map wholly. Even though the outward growth during that time is remarkable, we need to learn some instructions by way of the 'failed history'. Therefore our urgent task is to narrow the gap between the new system and the actual conditions based on long and short term projects.

• Journal of Internet Computing and Services
• /
• v.20 no.4
• /
• pp.21-27
• /
• 2019

Selection of feature pattern gathered from the observation of the RNA sequencing data (RNA-seq) are not all equally informative for identification of differential expressions: some of them may be noisy, correlated or irrelevant because of redundancy in Big-Data sets. Variable selection of feature pattern aims at differential expressed gene set that is significantly relevant for a special task. This issues are complex and important in many domains, for example. In terms of a computational research field of machine learning, selection of feature pattern has been studied such as Random Forest, K-Nearest and Support Vector Machine (SVM). One of most the well-known machine learning algorithms is SVM, which is classical as well as original. The one of a member of SVM-criterion is Support Vector Machine-Recursive Feature Elimination (SVM-RFE), which have been utilized in our research work. We propose a novel algorithm of the SVM-RFE with Q-learning in reinforcement learning for better variable selection of feature pattern. By comparing our proposed algorithm with the well-known SVM-RFE combining Welch' T in published data, our result can show that the criterion from weight vector of SVM-RFE enhanced by Q-learning has been improved by an off-policy by a more exploratory scheme of Q-learning.

• The Korean Journal of Archival Studies
• /
• no.38
• /
• pp.37-73
• /
• 2013

Legislative stability of the production and management of electronic records and the enhancement of infrastructure have reached significant levels through relentless efforts of academic and public institutions in the field. In addition, appraisal and disposal of records also have to be done by retention periods, business functions, administrational and historical values, and certain procedures. The law specifies that public institutions must assign record managers. The underlying reason is for record managers to arbitrate the review process when records are to be evaluated and discarded and to prevent unauthorized disuses. It is also for just evaluations with the professionalism. Evaluation and discard of records have significant meanings in record management. Thus, these processes need to be handled properly in the standard record management system. Evaluation should be proceeded by the law enacted under the task functional and social agreement. Since, the record discard is decided through the technical and logical process, the support for evaluation and discard works are important above all things. In this paper, I deducted functional requirements of standard record management system by analyzing methods including the analysis of legislation and standard related to electronic records and the examination of the user's manual of record management system. I researched through the interviews of the record managers in public institutions. Based on this research, I deducted the implications for the evaluation of standard record management system and the estimation of functional requirements for discard. I also discussed future directions of improvements and follow-up studies.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.22 no.1
• /
• pp.379-384
• /
• 2021

Despite the numerous graduates being produced in practical music and history, which have not been shorter than 30 years, the employment of students remains an unsolvable task. Most graduates are employed by private institutes as music instructors or got involved in band activities, which are non-regular work and not stable. The rapid development of K-pop along with national strength has changed our lives as well. As a result, the cultural and artistic fields, which were previously recognized only as luxury, have rapidly become popular. In the form of learning, internalized and experiencing, not just watching has a huge impact on improving the quality of our lives. This is reflected in national policies including the operation of cultural arts, education programs in elementary, middle, and high schools, and art programs designed to improve the welfare of residents at local community centers. It is time to expand its job-horizon to the relevant fields, and thus focus on promoting programs related to obtaining certificates to help our students find jobs. In addition, the government should create a course for music teacher certification in the field of practical music that differs from the current music teacher certification of secondary schools. It is very urgent to establish the teaching course in four-year universities or graduate schools of practical music education.

• KIPS Transactions on Software and Data Engineering
• /
• v.10 no.1
• /
• pp.1-8
• /
• 2021

In the political field of news articles, there are polarized and biased characteristics such as conservative and liberal, which is called political bias. We constructed keyword-based dataset to classify bias of news articles. Most embedding researches represent a sentence with sequence of morphemes. In our work, we expect that the number of unknown tokens will be reduced if the sentences are constituted by subwords that are segmented by the language model. We propose a document embedding model with subword tokenization and apply this model to SVM and feedforward neural network structure to classify the political bias. As a result of comparing the performance of the document embedding model with morphological analysis, the document embedding model with subwords showed the highest accuracy at 78.22%. It was confirmed that the number of unknown tokens was reduced by subword tokenization. Using the best performance embedding model in our bias classification task, we extract the keywords based on politicians. The bias of keywords was verified by the average similarity with the vector of politicians from each political tendency.

• Journal of Digital Convergence
• /
• v.20 no.4
• /
• pp.159-168
• /
• 2022

This study was conducted to classify segmental group based on the factors of foodservice motivation and then conducted a survey for one month from July 15 to August 14, 2021 to analyze the influence of demographic characteristics, usage behavior, and motivation on eating out choice behavior. A total of 310 copies were used for empirical analysis. The result is as follows. First, males showed higher task type than females, and females showed higher number of change type, gastronomic type, and fit type. Second, in demographic characteristics, all groups showed strong motivation for foodservice in married people aged 31-40 and 41-50. Third, in the restaurant selecting behavior difference between the segmental groups according to the motivation for foodservice the most preferred menu was korean food for fit type, gourmet type, duty type and western food was the highest in the change type. Fourth, in the ordering method of difference in restaurant selecting behavior among segmental groups, all four groups showed higher order type than unlimited type or buffets type. The limitations of this study are limited to the food field and analysis should be done, but the results of the study on specific food items have not been obtained. Therefore, it is hoped that the future research will be conducted by designating specific food fields.