• The Korean Journal of Archival Studies
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• no.2
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• pp.3-48
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• 2000

The collection and transfer of records is a very basic stage in the whole process of records and archives management. However they are regarded as an non-professional art of work in records management that are performed easily by everyone. Therefore they have been treated not properly in the scholarly discussion of archival sciences in Korea. The collection and transfer of records play an active role in the making of effective administrative system, in accumulating and sharing the knowledge and informations of political, economical, social and cultural values. On the basis of proper collection and transfer of records our democracy can operate regularly and our daily experiences can be preserved as historical resources. For the optimal-functioned collection and transfer of public records the archivists for this task must have a comprehensive understanding of whole process of records management and possess suitable professional skills. Moreover there are many sorts of preliminary works needed for this task, as follows: an accurate defining of administrative organizations and their tasks, thorough understanding of records management institutions on their own competence and ability, and the establishment of technical standards for their tasks. Additionally the archivists are able not only to consider the present informational and evidential values of the records, but also the historical values. It can be said that the collection and transfer of records is a "synthesis of records management skills" exerted by an archivist. According to the newly established law of public records management, the collection and transfer of public records must be registered at first electronically. Through this procedure the whole contents of produced and transmitted records, which are to be transferred, can be reported in detail. By means of this report the archival institutions and the archivists can trace back the each items of records(archives) and the result of their arrangement to identify a certain object. There are also new storage strategies employed to increase the whole sum of stored informations, i. e. records and archives, in spite of reducing the storage costs. It will be achieved by differentiations of the preservation methods for each sorts of records by the criteria of storage-period, -place, and -method. Many supplementary methods are also prepared to help the collection of important records(archives) in a complete structure and form. To let this new concept and system of collection and transfer of records operate properly, a number of professional archivists should be posted in the needed places throughout the whole administrative body. Their training must be also updated for the newly defined task of collection and transfer of records.

• Journal of Korea Water Resources Association
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• v.51 no.12
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• pp.1217-1227
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• 2018

This paper aims to evaluate the applicability of dam inflow prediction model using recurrent neural network theory. To achieve this goal, the Artificial Neural Network (ANN) model and the Elman Recurrent Neural Network(RNN) model were applied to hydro-meteorological data sets for the Soyanggang dam and the Chungju dam basin during dam operation period. For the model training, inflow, rainfall, temperature, sunshine duration, wind speed were used as input data and daily inflow of dam for 10 days were used for output data. The verification was carried out through dam inflow prediction between July, 2016 and June, 2018. The results showed that there was no significant difference in prediction performance between ANN model and the Elman RNN model in the Soyanggang dam basin but the prediction results of the Elman RNN model are comparatively superior to those of the ANN model in the Chungju dam basin. Consequently, the Elman RNN prediction performance is expected to be similar to or better than the ANN model. The prediction performance of Elman RNN was notable during the low dam inflow period. The performance of the multiple hidden layer structure of Elman RNN looks more effective in prediction than that of a single hidden layer structure.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.4
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• pp.2060-2077
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• 2019

Recently, mobile healthcare services have attracted significant attention because of the emerging development and supply of diverse wearable devices. Smartwatches and health bands are the most common type of mobile-based wearable devices and their market size is increasing considerably. However, simple value comparisons based on accumulated data have revealed certain problems, such as the standardized nature of health management and the lack of personalized health management service models. The convergence of information technology (IT) and biotechnology (BT) has shifted the medical paradigm from continuous health management and disease prevention to the development of a system that can be used to provide ground-based medical services regardless of the user's location. Moreover, the IT-BT convergence has necessitated the development of lifestyle improvement models and services that utilize big data analysis and machine learning to provide mobile healthcare-based personal health management and disease prevention information. Users' health data, which are specific as they change over time, are collected by different means according to the users' lifestyle and surrounding circumstances. In this paper, we propose a prediction model of user physical activity that uses data characteristics-based long short-term memory (DC-LSTM) recurrent neural networks (RNNs). To provide personalized services, the characteristics and surrounding circumstances of data collectable from mobile host devices were considered in the selection of variables for the model. The data characteristics considered were ease of collection, which represents whether or not variables are collectable, and frequency of occurrence, which represents whether or not changes made to input values constitute significant variables in terms of activity. The variables selected for providing personalized services were activity, weather, temperature, mean daily temperature, humidity, UV, fine dust, asthma and lung disease probability index, skin disease probability index, cadence, travel distance, mean heart rate, and sleep hours. The selected variables were classified according to the data characteristics. To predict activity, an LSTM RNN was built that uses the classified variables as input data and learns the dynamic characteristics of time series data. LSTM RNNs resolve the vanishing gradient problem that occurs in existing RNNs. They are classified into three different types according to data characteristics and constructed through connections among the LSTMs. The constructed neural network learns training data and predicts user activity. To evaluate the proposed model, the root mean square error (RMSE) was used in the performance evaluation of the user physical activity prediction method for which an autoregressive integrated moving average (ARIMA) model, a convolutional neural network (CNN), and an RNN were used. The results show that the proposed DC-LSTM RNN method yields an excellent mean RMSE value of 0.616. The proposed method is used for predicting significant activity considering the surrounding circumstances and user status utilizing the existing standardized activity prediction services. It can also be used to predict user physical activity and provide personalized healthcare based on the data collectable from mobile host devices.

• Korean Journal of Occupational Therapy
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• v.26 no.4
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• pp.111-125
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• 2018

Objective : This study was designed to determine the effects of sensory integration group therapy with regard to the sensory processing, peer interactions, and task performance, and whether they continue. Methods : Twelve children aged 7 to 13 years enrolled in this study for 60 minutes per session, three times a week for 8 weeks. Sensory integration group therapy consisted of a total of 24 activities that included sensory processing, play skills, and interaction with peers. Short Sensory Profile was used to select subjects. In order to measure the outcome, we used the Short Sensory Profile, Penn Interactive Peer Play Scale and Canadian Occupational Performance Measure at pre, post, and follow-up evaluations. The results were analyzed by means of repeated measures analysis, and the pre-test, post-test, and follow-up tests were compared using the Wilcoxon matched-pair signed rank test. Results : After sensory integration group therapy, sensory processing, peer interaction, and task performance significantly improved(p<.05). In addition, we confirmed that the effects of treatment were maintained in the 4 weeks follow-up test. Conclusion : Sensory integration group therapy is an effective way of mediating effects not only by improving sensory processing skills, but also by providing imitation and training in groups for children in need of peer interaction and linking them to daily life.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.2
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• pp.144-152
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• 2019

Reckless use of the Internet by children is a barrier to daily life and has a negative impact on children's physical, psychological and relational aspects. But more and more children depend on the Internet. Thus, the study conducted a meta-analysis to examine the effectiveness of group programs that involve Internet addiction among elementary school students. The study analyzed 18 studies of a local Internet group counseling program. First, the overall effectiveness of Internet-dependent group programs that cause Internet addiction reduction in elementary school students is shown to be g=0.90, indicating that group counseling programs are effective in reducing Internet addiction and changing related variables. Second, as a result of verifying differences between groups, there were differences in effectiveness in voluntary participation motivations. Therefore, intervention by elementary school students requires preventive training for smart phones so that voluntary participation can occur, and education for parents to develop autonomy for children to use smartphones properly. And rather than making these efforts limited to smart phones, IT retriever education needs to be organized.

• Science of Emotion and Sensibility
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• v.24 no.2
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• pp.81-92
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• 2021

In this study, we investigated the effects of five EMS lumbar back pressure belts produced on an anatomical basis on lumbar spine stabilization. Five core muscles were selected, including the urinal, vertebral column, endotracheal, external abdominal, and large back muscles, and patterns were designed using a conductive fabric considering the appropriate muscle shape and pain-causing points. We experimented with four motions to examine the effects of different EMS abdominal compression belts on lumbar spine stabilization. Five healthy men in their 20s were selected. The selection conditions include no back pain history for the past three months, no restricted movements through pre-inspection, and the muscular strength of the body should belong to the normal grade. Using SLR, the sequence of experimental actions was chosen from the following but not limited to left-hand, body-hand, and back-line forces. Resting between movements lasted for 2 min, and the experiments were conducted after wearing the EMS abdominal pressure belt. Electrical stimulation was applied for 10 min to increase blood flow and muscle activation. The statistics of the experimental results were analyzed for specific differences by conducting the Wilcoxon and Friedman tests with nonparametric tests. The ranking results of each pattern were successfully assessed in the order of 5, 4, 3, 1, 2 for the five patterns, and we could identify slightly more significant results for experimental behavior associated with each muscle movement. Patterns produced based on anatomy showed differentiated effects when electric stimulation was applied to each muscle in different shapes, which could improve the stabilization of the lumbar spine in everyday life or training to the public. Based on these results, subsequent research would focus on developing smart healthcare clothing that is practical in daily life by employing different anatomical mechanisms, depending on the back pain, to utilize trunk-type tights.

• Journal of Korea Entertainment Industry Association
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• v.15 no.2
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• pp.179-189
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• 2021

As the school was in crisis due to the COVID-19, e-Learning was extended. Although it was difficult for everyone, e-Learning were stabilized with the enthusiasm and efforts of school teachers. Online education in Korea, called 'K-edu' is being promoted by school teachers in COVID19, and is considered an important area of future education beyond the post corona. Therefore, analyze the meaning of K-edu experienced by school teachers, studying changes in the educational paradigm in the Post-COVID era is very important in establishing the direction and content of future education. In this study described the K-edu experienced by school teachers in response to Corona 19 as 'changed daily life of school teachers', 'changes in schools', 'difficulties felt by teachers' and 'proposals for K-edu' through the qualitative research method FGI. Based on this, the characteristics of K-edu that changed through COVID-19 were analyzed as 'expansion of educational space', 'expansion of educational form' and 'highlighting the importance of face-to-face education'. Through this study, we hope that K-Edu led by school teachers will serve as a cornerstone for leading the world beyond Korea.

• Journal of Korea Entertainment Industry Association
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• v.15 no.4
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• pp.299-307
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• 2021

This study is a research study to identify the recognition, experiences, needs of convergence education in occupational therapy students. Therefore, it is intended to provide basic data when developing convergence subjects and non-regular programs within the occupational therapy (department) curriculum. From December 03, 2020, a web questionnaire consisting of 14 questions in 4 areas was distributed over a month, and the data of 130 people were finally analyzed. The results are as follows. First, the recognition and experiences of occupational therapy students in convergence education were low. Second, 57.7% of students recognized that occupational therapy majors need convergence education, and the expected effect of convergence education was 'improvement of occupational therapy job-related knowledge'. Third, it was recognized that 'natural science', 'prosthesis and assistive technology, activity of daily living(ADL)', and 'ADL training' convergence education was necessary for the students of occupational therapy department. The results of this study are expected to be used as basic data in the future development of occupational therapy curriculum and non-regular programs for convergence education. In the future, I think that the demand for convergence education and program development in preparation for the 4th industrial revolution will increase in the occupational therapy curriculum. It is expected that the data of this study will be used meaningfully by professors in charge of occupational therapy education at universities.

• Journal of the Korean earth science society
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• v.43 no.2
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• pp.303-311
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• 2022

Gadolinium, commonly used as a contrast agent for magnetic resonance imaging (MRI), is discharged into aquatic environments without removal after treatment in wastewater treatment plants (WWTPs) because of its high stability. In this study, we collected water samples from Suyeong WWTP, Busan, to investigate the dissolved rare earth element (REE) removal capacity of each wastewater treatment process and to evaluate the discharge of anthropogenic Gd (Gd_anth) from effluents. As wastewater passed through each stage of treatment, the concentrations of light REEs (La-Eu) decreased, whereas those of heavy REEs (Tb-Lu) were relatively consistent. Negative Sm anomalies (<1) were observed in several samples, indicating that Sm can be removed by adsorption onto particles or phosphate during the biological removal process. Positive Gd anomalies (149±50, n=9) were observed in all samples. The ratios of Gd_anth concentrations to measured Gd concentrations in all wastewater treatment processes were higher than 97%. This indicates that Gd_anth was discharged to the Suyeong River without removal during the wastewater treatment process. Considering the daily treatment capacity in each process, the total flux of Gd_anth was estimated to be 259 mmol/day. Our results suggest that mid- and/or long-term monitoring of Gd is needed because Gd_anth is continuously discharged into Suyeong Bay through WWTPs.

• Therapeutic Science for Rehabilitation
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• v.11 no.3
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• pp.37-50
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• 2022

Objective : This study aimed to investigate the use of electromyography (EMG) to evaluate upper limb movement or function in stroke patients. Methods : We reviewed papers published in journals between January 2018 and December 2021 using PubMed, EMBASE, Scopus, RISS, and KISS. The main keywords of databases were ('stroke' OR 'hemiplegia') AND ('EMG' OR 'electromyography' OR 'electromyogram' OR 'muscle activity') AND ('Upper limb' OR 'Hand'). Results : Fifteen studies were selected, most of which evaluated muscle activity. Interventions performing tasks related to activities of daily living (ADLs), using assistive technology, and interventions that provide repetitive training were most frequently applied. Conclusions : When evaluating upper limb functions using electromyography, it is meaningful to present an evaluation that can be used according to the purpose of the study and to provide a basis for setting up interventions that can utilize electromyography during evaluation.