• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.8 no.6
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• pp.407-416
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• 2018

The study aims to explore the possible link between lifelong education and local education·training projects to enhance vocational skills. To this end, we first looked at vocational training in lifelong educational institutions. We looked at the areas of lifelong education presented by the Lifelong Education Act and the status of job improvement in them, as well as the actual number of learners across the country. Next, we looked at local education training projects. In this case, We investigated the significance and type of education·training projects, and identified the number of programs and the number of learners. Looking at them, we looked for five possibilities the possible link of between vocational abilities and educational·training projects. The five were to strengthen employment related lifelong learning of the economically inactive population, to strengthen lifelong education related to the underprivileged people, to enhance vocational skills for lifelong education centered on the employed, to utilize lifelong education institutions and universities in the region, and to strengthen the role of local governments to guide local job demands and suppliers.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.8 no.9
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• pp.563-571
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• 2018

The purpose of this study is to explore the direction of multicultural mentoring class activities in order to promote the professional growth and critical reflection of student mentors who are undergraduate students from a variety of major. For this purpose, the contents and phenomena of the multicultural mentoring of the mentor - mentee were reported as activity texts, and then seven directions of textuality were applied to explore the direction of multicultural mentoring class activities. As a result, coherence refers to the relationship between the mentor and the mentee for continuing the activities of multicultural mentoring, and cohesiveness refers to the relationship between the mentor and the mentee. It was called the achievement of identity. Intention means that the mentor has an intention or goal for the class before the mentoring activity, and tolerance means that the text produced by the mentor in the multicultural mentoring process is accepted by the mentee. Intentional means that the mentor has intention or goal for the class before the mentoring class activity, and tolerance means having the text as the class activity text when the mentor's text is accepted by the multicultural mentoring class activity process. In the case of informativeness, the information produced by the mentor is less informative when the mentee is predictable and less informative when the predictor is low. In the case of contextuality, contextuality of class activities can be changed according to the physical text situation and the mentee situation in class activity. In case of multicultural mentoring class activity, except for case where mentor creates new class activity text, it is related to the production of class activity texts through mentor learning experiences, peer friends' advice, and education.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.8 no.11
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• pp.659-668
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• 2018

Since China and South Korea are equally concerned about high school education, so this study focuses on high school education, through the study of the objectives and structure, content, implementation, and evaluation of China's general high school education curriculum reform program, analyzing its characteristics and problems, and based on the problem, point to make the corresponding suggestions and comments. The results of the study, first, the reason for the reform of the high school curriculum is because of the emergence of compulsory education and need a curriculum that fits the actual high school education. Second, the character of China's high school curriculum goals are based on the trend of China's future social development, focusing on students' lifelong learning ability and core competence. the character of structure is that the subject courses and activity courses are parallel, and the elective courses and compulsory courses are parallel. The character of content is the emphasis on the era, basicity, and selectivity of the content. the character of Implementation and evaluation is the provision of support for implementation and the adoption of sustainable development methods. High school education courses have three problems in the curriculum itself and teachers and university entrance exams. There three suggestions about the problems, first, it is necessary to examine whether high school education is for preparation for admission or education for the public. Second, it is necessary to provide training that can enhance the core competencies of teachers. Third, the high school graduation evaluation and the university entrance evaluation system need to be improved.

• 재활복지
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• v.15 no.4
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• pp.27-47
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• 2011

The purpose of this research is to develop transition process and programmes for gently converting people with disabilities to local communities, through their empowerments. The methods used in the research were literature research, case studies on related programs, and expert interviews. The following shows the results. Firstly, the transition process for people with developmental disorders is exceedingly limited, and the process does not consider special attention needed for people with developmental disorders. Secondly, the postsecondary education programs for people with developmental disorders are being started as transition processes, however these programs need more connection with secondary schools. Thirdly, the primary factors which must be contemplated for University programs(for people with developmental disorders, after secondary education) are self-cognition and self-understanding. According to these results, we can suggest transition processes and programs within Universities for people with developmental disorders. (In Korea) Firstly, the postsecondary transition for people with developmental disorders requires a consideration of their characteristics, and mainstreaming education is also needed for their self-cognition and self-understanding. Considering this, the transition process within Universities can be an alternative. Secondly, tertiary educations within Universities for people with developmental disorders need to consider the following factors: ① The programs in Universities need to set up a support network. ② The door to program should be open to all students with developmental disorders within the Universities. ③ Organization of human resources must be systematized and connected, so that specialists within the Universities can participate in the postsecondary education programs for people with developmental disorders. ④ Inclusive learning activities must be under-taken, allowing students without disabilities to participate in the programs for students with developmental disorders.

• Journal of the Korea Society of Computer and Information
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• v.28 no.10
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• pp.123-132
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• 2023

Git's commit messages manage the history of source changes during project progress or operation. By utilizing this historical data, project risks and project status can be identified, thereby reducing costs and improving time efficiency. A lot of research related to this is in progress, and among these research areas, there is research that classifies commit messages as a type of software maintenance. Among published studies, the maximum classification accuracy is reported to be 95%. In this paper, we began research with the purpose of utilizing solutions using the commit classification model, and conducted research to remove the limitation that the model with the highest accuracy among existing studies can only be applied to programs written in the JAVA language. To this end, we designed and implemented an additional step to standardize source change data into natural language using GPT. This text explains the process of extracting commit messages and source change data from Git, standardizing the source change data with GPT, and the learning process using the DistilBERT model. As a result of verification, an accuracy of 91% was measured. The proposed model was implemented and verified to ensure accuracy and to be able to classify without being dependent on a specific program. In the future, we plan to study a classification model using Bard and a management tool model helpful to the project using the proposed classification model.

• Journal of Service Research and Studies
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• v.13 no.4
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• pp.160-172
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• 2023

The metaverse, derived from the fusion of "meta" and "universe," encompasses a three-dimensional virtual realm where avatars actively participate in a range of political, economic, social, and cultural activities. With the recent development of the metaverse, the traditional way of experiencing services is changing. While existing studies have mainly focused on the technological advancements of metaverse services (e.g., scope of technological enablers, application areas of technologies), recent studies are focusing on evaluating the quality of experience (QoE) of metaverse services from a customer perspective. This is because understanding and analyzing service characteristics that determine QoE from a customer perspective is essential for designing successful metaverse services. However, relatively few studies have explored the customer-oriented approach for QoE evaluation thus far. This study conducted an online review analysis using text mining to overcome this limitation. In particular, this study analyzed 227,332 online reviews of the Roblox service, known as a representative metaverse service, and identified points for improving the Roblox service based on the analysis results. As a result of the study, nine service features that can be used for QoE evaluation of metaverse services were derived, and the importance of each feature was estimated through relationship analysis with service satisfaction. The importance estimation results identified the "co-experience" feature as the most important. These findings provide valuable insights and implications for service companies to identify their strengths and weaknesses, and provide useful insights to gain an advantage in the changing metaverse service environment.

• Journal of the Korean Society of Radiology
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• v.17 no.5
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• pp.693-699
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• 2023

Ultrasound is widely used in the medical field for non-destructive and non-invasive disease diagnosis. In order to improve the disease diagnosis accuracy of diagnostic medical images, improving spatial resolution is a very important factor. In this study, we aim to model the super resolution convolutional neural network (SRCNN) algorithm in ultrasound images and analyze its applicability in the medical diagnostic field. The study was conducted as an experimental study using Field II simulation and open source clinical liver hemangioma ultrasound imaging. The proposed SRCNN algorithm was modeled so that end-to-end learning can be applied from low resolution (LR) to high resolution. As a result of the simulation, we confirmed that the full width at half maximum in the phantom image using a Field II program was improved by 41.01% compared to LR when SRCNN was used. In addition, the peak to signal to noise ratio (PSNR) and structural similarity index (SSIM) evaluation results showed that SRCNN had the excellent value in both simulated and real liver hemangioma ultrasound images. In conclusion, the applicability of SRCNN to ultrasound images has been proven, and we expected that proposed algorithm can be used in various diagnostic medical fields.

• The Journal of the Acoustical Society of Korea
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• v.42 no.6
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• pp.536-543
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• 2023

Speaker diarization, which labels for "who spoken when?" in speech with multiple speakers, has been studied on a deep neural network-based end-to-end method for labeling on speech overlap and optimization of speaker diarization models. Most deep neural network-based end-to-end speaker diarization systems perform multi-label classification problem that predicts the labels of all speakers spoken in each frame of speech. However, the performance of the multi-label-based model varies greatly depending on what the threshold is set to. In this paper, it is studied a speaker diarization system using single-label classification so that speaker diarization can be performed without thresholds. The proposed model estimate labels from the output of the model by converting speaker labels into a single label. To consider speaker label permutations in the training, the proposed model is used a combination of Permutation Invariant Training (PIT) loss and cross-entropy loss. In addition, how to add the residual connection structures to model is studied for effective learning of speaker diarization models with deep structures. The experiment used the Librispech database to generate and use simulated noise data for two speakers. When compared with the proposed method and baseline model using the Diarization Error Rate (DER) performance the proposed method can be labeling without threshold, and it has improved performance by about 20.7 %.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.637-645
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• 2023

This study was conducted to confirm the meaning and essence of the interpersonal caring experience of nursing students who participated in an enneagram-based care intervention program. The subjects of the study were nine second-year students in the Department of Nursing at a university located in the region, and data were collected from April 25 to August 26, 2022, through interview records, statements, and reflection journals. The collected data were analyzed using Colaizzi's phenomenological method. Results, It appeared in three categories and 10 topic groups 'Recognition through sharing and listening', 'Acceptance through comfort and forgiveness', 'Praise and giving hope through participation and companionship in daily life', While writing a person care reflection journal, you can realize the meaning of care through critical reflection, understand the essence of the person care experience, and confirm the vivid person care experience, and develop the ability to care for people through in-depth reflection on personal experiences, feelings, and deep understanding. As this improved and internalized care, confidence in one's own ability to care increased. Therefore, it is believed that the experience of caring for people based on the Enneagram can be confirmed, the results can be used for learning, and it will be used as educational material to perform people care, contributing to the development of people care education.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.6
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• pp.1143-1150
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• 2023

The global climate crisis and the implementation of low-carbon policies have led to a growing interest in renewable energy and a growing number of related industries. Among them, solar power is attracting attention as a representative eco-friendly energy that does not deplete and does not emit pollutants or greenhouse gases. As a result, the supplement of solar power facility is increasing all over the world. However, solar power is easily affected by the environment such as geography and weather, so accurate solar power forecast is important for stable operation and efficient management. However, it is very hard to predict the exact amount of solar power using statistical methods. In addition, the conventional prediction methods have focused on only short- or long-term prediction, which causes to take long time to obtain various prediction models with different prediction horizons. Therefore, this study utilizes a many-to-many structure of a recurrent neural network (RNN) to integrate short-term and long-term predictions of solar power generation. We compare various RNN-based very short- and long-term prediction methods for solar power in terms of MSE and R² values.