• The Korean Journal of Archival Studies
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• no.54
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• pp.81-109
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• 2017

This study suggests an analysis of the reviews provided by international archival professionals on the RiC-CM draft published by ICA EGAD. Some implications for the Korean archival management environment were also suggested. Some professional reviews were accessible through the internet. Italian archival professionals held workshops at various levels for the analysis and discussion of the draft. Duranti, the project director of InterPARES, also gave opinions about the draft in cluding the perspective of digital preservation. In the review of Artefactual, the draft was discussed in terms of system implementation. Reed, the director of Recordkeeping Innovation, also gave a feedback based on the record management experiences in Australia. Some implications can be suggested based on these professional opinions. First, we should try to build a test bed for the adoption of RiC to archival description in the Korean environment. Second, a minimum level of data elements that can secure authenticity and integrity will also be needed. Third and lastly, rich authority data for agents and functions related to archival records and records groups are essential to take full advantage of the standard.

• The Korean Journal of Applied Statistics
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• v.32 no.1
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• pp.161-171
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• 2019

Varied methods have been researched continuously because the past as the daily maximum electricity demand expectation has been a crucial task in the nation's electrical supply and demand. Forecasting the daily peak electricity demand accurately can prepare the daily operating program about the generating unit, and contribute the reduction of the consumption of the unnecessary energy source through efficient operating facilities. This method also has the advantage that can prepare anticipatively in the reserve margin reduced problem due to the power consumption superabundant by heating and air conditioning that can estimate the daily peak load. This paper researched a model that can forecast the next day's daily peak load when considering the influence of temperature and weekday, weekend, and holidays in the Seasonal ARIMA, TBATS, Seasonal Reg-ARIMA, and NNETAR model. The results of the forecasting performance test on the model of this paper for a Seasonal Reg-ARIMA model and NNETAR model that can consider the day of the week, and temperature showed better forecasting performance than a model that cannot consider these factors. The forecasting performance of the NNETAR model that utilized the artificial neural network was most outstanding.

• Journal of The Korean Association For Science Education
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• v.39 no.2
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• pp.295-305
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• 2019

In previous study, visual representation competence taxonomy (VRC-T), which is composed of two dimensions, was developed for the purpose of promoting effective visual representation use and research in science education. In this study, elementary school students' visual representation competence for shadow phenomenon was investigated using VRC-T. In terms of visual representation competence, 'interpretation' was the highest score, followed by 'construction' and 'integration'. It also showed that students' visual representation competence was not high even after learning shadow-related units in the regular curriculum. On the other hand, text-based scientific knowledge was not correlated with all categories of visual representation competence. This indicates that there is a need to emphasize visual representation more in science class. Finally, hierarchical relationship among cognitive processes of VRC-T was explored according to ordering theory. If the tolerance level is somewhat loosened, a linear hierarchical relationship was found between the six cognitive processes. This suggests that VRC-T is an analytical framework that can be useful when designing assessment tools, tasks, and science class activities to enhance visual representation competence.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.17 no.1
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• pp.15-28
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• 2019

In accordance with the decommissioning plan for the Kori Unit 1 NPP, the reactor coolant system will be chemically decontaminated as soon as possible after permanent shutdown. This study developed the chemical decontamination process though the development project of decontamination technology of reactor coolant system and dismantled equipment for NPP decommissioning, which has been carried out since 2014. In this study, Oxidation/reduction process was conducted using system decontamination process development equipment of lab scale and was divided into unit and continuous processes. The optimal process time was derived from the unit process, and decontamination agent and the number of process were derived through the continuous processes. Through the unit process, the oxidation process took 5 hours and the reduction process took 4 hours. As optimum decontamination agent, the oxidizing agent was $200mg{\cdot}L^{-1}$ Permanganic acid + $200mg{\cdot}L^{-1}$ Nitric acid and the reducing agent was $2000mg{\cdot}L^{-1}$ Oxalic acid. In the case of the number of processes, all oxide films were removed during the two-cycle chemical decontamination process of STS304 and SA508. In the case of Alloy600, all oxide films were removed when chemical decontamination was performed for three cycles or more.

• KIPS Transactions on Software and Data Engineering
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• v.8 no.10
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• pp.397-402
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• 2019

Accurately predicting cancer prognosis to provide appropriate treatment strategies for patients is one of the critical challenges in bioinformatics. Many researches have suggested machine learning models to predict patients' outcomes based on their gene expression data. Gene expression data is high-dimensional numerical data containing about 17,000 genes, so traditional researches used feature selection or dimensionality reduction approaches to elevate the performance of prognostic prediction models. These approaches, however, have an issue of making it difficult for the predictive models to grasp any biological interaction between the selected genes because feature selection and model training stages are performed independently. In this paper, we propose a novel two-dimensional image formatting approach for gene expression data to achieve feature selection and prognostic prediction effectively. Node2Vec is exploited to integrate biological interaction network and gene expression data and a convolutional neural network learns the integrated two-dimensional gene expression image data and predicts cancer prognosis. We evaluated our proposed model through double cross-validation and confirmed superior prognostic prediction accuracy to traditional machine learning models based on raw gene expression data. As our proposed approach is able to improve prediction models without loss of information caused by feature selection steps, we expect this will contribute to development of personalized medicine.

• Therapeutic Science for Rehabilitation
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• v.10 no.1
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• pp.115-127
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• 2021

Objective : The purpose of this study was to investigate the effect of telerehabilitation on executive function, activities of daily living, instrumental activities of daily living, and occupational performance in stroke patients. Methods : The participants of this study were 30 outpatients with stroke residing in community. Both groups underwent the intervention 3 times a week for a total of 18 sessions. For the experimental group telerehabilitation was administered at home to only fifteen participants in the experimental group schedule, and it was supervised by the caregiver. Fifteen people in the control group underwent only the traditional occupational therapy. Executive function and instrumental activities of daily living were evaluated using the Korean version of the Executive Function Performance Test (EFPT-K). The basic daily activities of living were assessed using the Modified Barthel Index (MBI). The Canadian Occupational Performance Measure (COPM) was used to evaluate the client-centered occupational performance. Results : After the intervention, the experimental and control groups showed improvements in executive function, instrumental activities of daily living and occupational performance. Occupational performance improved more significantly in the experimental group than in the control group. Conclusion : Telerehabilitation and occupational therapy positively affect executive function, instrumental activities of daily living and occupational performance of patients with stroke. We suggest that telerehabilitation combined with occupational therapy is more effective in improving the occupational performance of stroke patients.

• (The) Research of the performance art and culture
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• no.34
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• pp.43-71
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• 2017

Theatre for young people which have been barely survived after 1990's are attracting new attention because the systemic production of Theatre for young people by establishment of theatre for young people institute in national theatre company has affected and the influence of adolescent on society has been increasing. It brought the phenomenon that theatre for young people becomes young writers' first work. The national chaggeuk company of Korea firstly showed the work which can be described as theatre for young people in 2013. It seems to be meaningful to examine how the critical mind of theatre for young people is expressed in changgeuk because its writer and director are all experts on theatre for young people and theatre for young people takes a part among vigorous experiments of changgeuk. This study starts with the premise that it is necessary to examine the meaning and the direction because it's the first theatre for young people. It can have positive review because it highlights the present meaning of tradition which channgeuk has by contemporary questioning and it keeps the identity of channgeuk by making it focused on rhythm despite various musical attempts. However, it seems to be solved that it weakened the possibility of voluntary playgoing by putting distance to audience with emphasis of dramatic aspect and curtail of commentary. As the way to solve this problem, it is suggested to be an effective strategy to set the goal direction and repeat various description.

• The Journal of Korean Institute of Next Generation Computing
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• v.14 no.5
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• pp.19-30
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• 2018

Visual information understanding is known as one of the most difficult and challenging problems in the realization of machine intelligence. This paper proposes deriving visual verb and construction of ActionNet database as a video database for video semantic understanding. Even though development AI (artificial intelligence) algorithms have contributed to the large part of modern advances in AI technologies, huge amount of database for algorithm development and test plays a great role as well. As the performance of object recognition algorithms in still images are surpassing human's ability, research interests shifting to semantic understanding of video contents. This paper proposes candidates of visual verb requiring in the construction of ActionNet as a learning and test database for video understanding. In order to this, we first investigate verb taxonomy in linguistics, and then propose candidates of visual verb from video description database and frequency of verbs. Based on the derived visual verb candidates, we have defined and constructed ActionNet schema and database. According to expanding usability of ActionNet database on open environment, we expect to contribute in the development of video understanding technologies.

• Journal of Music and Human Behavior
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• v.18 no.1
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• pp.79-102
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• 2021

The purpose of this study was to identify the teaching methods used in inclusive music classes at elementary schools by of music in elementary school inclusive classes through the application of understanding by design and differentiated instruction, and to explore the feasibility of inclusive education. To this end, based on the 2.0 version of the backward design template, a unit for music lessons for 3rd and 4th grade inclusive classes was developed. The unit presented elements of differentiated instruction that considered students with intellectual disabilities at each stage. In the first stage, goals and essential questions were presented by analyzing the curriculum's achievement standards. In the second stage, a performance task was developed using the GRASPS technique, guidelines and examples were presented. Various evaluation methods based on students' readiness, interest, and learning type were suggested. In the third stage, the unit's seven lessons were planned using the WHERETO model. Examples of differentiated instruction for students with intellectual disabilities were presented by flexibly using classroom elements. This study indicated that understanding by design and differentiated instruction can be applied to inclusive education. Future studies on more diversified educational design and strategies are needed for promoting inclusive education.

• The Journal of the Korea Contents Association
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• v.21 no.3
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• pp.232-243
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• 2021

This study analyzed how K-MOOC was used and identify the academic achievements in higher education. The participants who completed the survey questionnaire were composed of 379 students who were in curriculum-related extra-curriculum using K-MOOC. Results show that the participation rate in individual learning activities was high, thus indicating the activities were perceived positively. In addition, students perceived positively their academic achievements of receiving, valuing, and responding in affective area, as well as synthesis and evaluation of knowledge in cognitive area. Students were also satisfied that they had no psychological burden to the credit of the course and they could take a course from another college. By contrast, platform instability, too much online content, and tedious activities in the lessons were perceived negatively. Nonetheless, the group assessment results suggested that the students taking a course related to their major had further engagement in discussions, and their academic achievement was higher. Based on the foregoing findings, the study proposed developing a subject matter with various theme, utilization plans, interaction reinforcement, and quality management by supporting instructional design strategies in order to expand the use of K-MOOC both as a general education and a major curriculum. The results obtained in this study represent baseline data that may assist in the decision making for university system and operation plan.