• Phonetics and Speech Sciences
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• v.15 no.3
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• pp.75-82
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• 2023

Automatic speech recognition (ASR) has been revolutionized with deep learning-based approaches, among which self-supervised learning methods have proven to be particularly effective. In this study, we aim to enhance the performance of OpenAI's Whisper model, a multilingual ASR system on the Korean language. Whisper was pretrained on a large corpus (around 680,000 hours) of web speech data and has demonstrated strong recognition performance for major languages. However, it faces challenges in recognizing languages such as Korean, which is not major language while training. We address this issue by fine-tuning the Whisper model with an additional dataset comprising about 1,000 hours of Korean speech. We also compare its performance against a Transformer model that was trained from scratch using the same dataset. Our results indicate that fine-tuning the Whisper model significantly improved its Korean speech recognition capabilities in terms of character error rate (CER). Specifically, the performance improved with increasing model size. However, the Whisper model's performance on English deteriorated post fine-tuning, emphasizing the need for further research to develop robust multilingual models. Our study demonstrates the potential of utilizing a fine-tuned Whisper model for Korean ASR applications. Future work will focus on multilingual recognition and optimization for real-time inference.

• The Journal of Korean Academic Society of Nursing Education
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• v.15 no.2
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• pp.194-204
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• 2009

Purpose: Level of reflective thinking of students are important factors in the area of nursing studies on web-based PBL. These factors were used as a component of learning strategies. One was to understand general recognition to web-based PBL and reaction to the use of reflective journal. The other was to investigate the level of reflective thinking was related to learning activity. Method: PBL was adopted for an online course titled 'Nursing Assessment and Intervention'. Twenty graduate students were evaluated from questionnaire, reflective journals, and individual assignments. Result: Web-based PBL was strong for self-directed learning, team activity, creative thinking, diversity of thinking, and diverse process of learning while hard time, lack of cooperation, uncertainty of outcome, and lack of time were considered as weakness. Reflective journal gave moderate help to learning activities. The learners' learning activities was the lowest in the middle level of reflective thinking. Conclusion: Generally, graduate students in college of nursing showed slightly positive attitude to PBL experience and slightly positive reaction to the learning effect of reflective journal. PBL was estimated to be valuable and meaningful. There was no relationship between the level of reflective thinking and learning activities.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.5
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• pp.17-23
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• 2018

The rapid development of mobile technology has increased the use of mobile devices, and the possibility of security incidents is also increasing. The leakage of information through photos is the most representative. Previous methods for preventing this are disadvantageous in that they can not take pictures for other purposes. In this paper, we design and implement a system to prevent information leakage through photos using object recognition and beacon. The system inspects pictures through object recognition based on deep learning and verifies whether security policies are violated. In addition, the location of the mobile device is identified through the beacon and the appropriate rules are applied. Web applications for administrator allow you to set rules for taking photos by location. As soon as a user takes a photo, they apply appropriate rules to the location to automatically detect photos that do not conform to security policies.

• Journal of The Korean Association For Science Education
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• v.37 no.1
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• pp.181-192
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• 2017

This study aims to examine the educational effects of the SSI program using Digital Storytelling (DST) approaches. Since DST provides students opportunities to express their own opinions in the form of stories and to share learning outcomes through the web, we developed and implemented SSI program by adopting the concept of DST in order to produce synergistic effects on student learning. Twenty-four 9th graders who enthusiastically engaged in the DST-based SSI program participated in this study. The students responded to focus group interviews after the instruction, and all interviews were transcribed for analysis. The results indicated that the students became aware of socio-ethical perspectives of each SSI topic while searching and collecting data by themselves. They also felt the necessity to consider multiple perspectives around the issues by having discussions with group members. Second, pre-producing DST allowed students to negotiate to settle on a group discussion, and to use emotional contents that can lead viewers to have sympathy. In addition, while producing DST, students considered various factors such as design, soundtrack, visual effects, and screen composition in order to express their opinions and convey their messages more effectively. In the stage of sharing DST outcomes and receiving feedback, they realized new perspectives that they did not perceive in the previous production process, and to move them into an action for resolving the problems caused by SSI. This study showed the potentials of DST-based SSI instruction as a good strategy to support students' SSI engagement.

• Journal of The Korean Association For Science Education
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• v.38 no.4
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• pp.467-480
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• 2018

This study aims to investigate how flipped learning-based socioscientific issue instruction (FL-SSI instruction) affected middle school students' key competencies and character development. Traditional classrooms are constrained in terms of time and resources for exploring the issues and making decision on SSI. To address these concerns, we designed and implemented an SSI instruction adopting flipped learning. Seventy-three 8th graders participated in an SSI program on four topics for over 12 class periods. Two questionnaires were used as a main data source to measure students' key competencies and character development before and after the SSI instruction. In addition, student responses and shared experience from focus group interviews after the instruction were collected and analyzed. The results indicate that the students significantly improved their key competencies and experienced character development after the SSI instruction. The students presented statistically significant improvement in the key competencies (i.e., collaboration, information and technology, critical thinking and problem-solving, and communication skills) and in two out of three factors in character and values as global citizens (social and moral compassion, and socio-scientific accountability). Interview data supports the quantitative results indicating that SSI instruction with a flipped learning strategy provided students in-depth and rich learning opportunities. The students responded that watching web-based videos prior to class enabled them to deeply understand the issue and actively engage in discussion and debate once class began. Furthermore, the resulting gains in available class time deriving from a flipped learning approach allowed the students to examine the issue from diverse perspectives.

• Journal of Korean Home Economics Education Association
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• v.17 no.4 s.38
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• pp.101-115
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• 2005

The purpose of this research was to develop and applicate In based teaching$\cdot$learning process plan for Environmentally friendly Housing. The 3 main stages of process were used: analyses, planning & development, and application & evaluation. Three teaching subjects were selected to teach Environmentally friendly housing in the analysis stage. The webhard learning environment was consisted of contents and various materials such as digital video, PPT, group activity, discussion, individual and group reporting forms, and questions. The number of 101 high school students participated for the application stage during september 22-27, 2003. Most of all students evaluated very positively the various aspects of contents as well as LT cooperative learning methods md the web based learning environment. They strongly expressed to practice the practical ways of Environmentally friendly housing learned in the class in the future. The results imply that the contents and In teaching learning plan developed in this study seem to be adequate to be included in the regular text.

• Journal of The Korean Association of Information Education
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• v.9 no.2
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• pp.319-327
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• 2005

With the advent of computers and network, the Internet(World Wide Web) is becoming more prevalent than ever before. The ICT and the policy of the development of information technology are also applied to the elementary school environment. In the elementary school field, we can easily find that children have different web-site preferences based on gender. There is a lot of research about adult gender issues for the purpose of customer analysis to increase business profits. However, there is little research about the gender factor in web-based instruction or educational web sites. Elementary school children are beginning to experience the Internet. In this study, we consider the analysis of the use and perception of the Internet based on gender differences, and discuss concrete guidelines in regards to elementary school pupil and therefore create Web Based Instruction or Educational Web Contents.

• Journal of Digital Contents Society
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• v.6 no.4
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• pp.235-242
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• 2005

This Study examines influencing factors such as input, process, and output variables on1 student's satisfaction in cyber-education. That is to study on the effectiveness of input, process, and output variables for cyber-education and how does student's interaction moderate influencing factors and student satisfaction. The study was carried out through literature and empirical study. Questionnaire was used to varify the hypothesis based on which the input-process-output with system models were established. The result of hypothesis verification in this study is as follows : First, learning hour and grade showed a positive influence on the students' satisfaction in learning factors. Second reliant of professor, recognized teaming participate, and contents showed a positive influence on the students' satisfaction in system factors. Third, an interesting findings emerged throughout the analysis, showed that process variables were rather meaning factor than input variables.

• Proceedings of the Korea Multimedia Society Conference
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• 2002.05c
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• pp.501-506
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• 2002

사람은 누구나 잭이나 문서를 읽을 때 중요한 부분에 강조, 해설, 설명을 하기 위해서 표시를 하거나 글을 입력한다. 이와 같이 원본문서에 추가되는 부가 정보를 Annotation이라고 한다[6][7]. Annotation을 이용하면 차후에 원본문서를 재창조하거나 다른 사람이 원본문서를 참조할 경우 과중한 정보의 양을 극복할 수 있으므로[4], 원본문서의 이해도를 향상시킬 수 있다. 따라서, Annotation은 한번 사용하고 그치는 정보가 아닌 재사용할 수 있는 점보임을 의미한다[1,2,3]. 이러한 Annotation 기능을 웹 문서에 적용하게 되면 종이문서에서 얻을 수 있는 장점뿐만 아니라 웹 환경의 특징인 공유[5], 검색[4], 재편집 등의 기능이 가능하다. 이와 관련한 많은 연구가 진행중에 있다. 그러나, 기존의 Annotation 연구는 Anchor 입력된 다수의 Annotation이 무의미한 출력 순서로 제공되고 있으며, 또한 Anchor에 입력된 Annotation의 출력으로 인해 문서 구조가 변경되거나, 가려지는 등의 문제점으로 사용자들이 쉽게 사용 및 이해할 수 있는 Annotation 출력 인터페이스에 대한 연구가 부족한 실정이다. 따라서, 본 논문에서는 Anchor에 입력된 다수의 Annotation들 간의 의미적 순서를 부여하여 보다 적절한 Annotation에 대한 우선 접근이 가능하도록 계층적인 Annotation 우선처리 기법을 제안하고, Annotation 출력으로 인한 문서 변경 문제를 해결하기 위한 유동적인 Annotation 표현 기법을 제안한다. 또한 Annotation이 문서에 부가된 부가정보의 역할을 뿐만 아니라, 다양한 활용이 가능하도록 XML 표준에 기반한 저장 구조를 지원하며, 원본문서와 분리하여 저장한다.속도를 개선시켰고, 국소적인 변형이 있는 패턴과 특징의 수가 다른 패턴의 경우에도 좋은 인식률을 얻었다.r interferon alfa concentrated solution can be established according to the monograph of EP suggesting the revision of Minimum requirements for biological productss of e-procurement, e-placement, e-payment are also investigated.. monocytogenes, E. coli 및 S. enteritidis에 대한 키토산의 최소저해농도는 각각 0.1461 mg/mL, 0.2419 mg/mL, 0.0980 mg/mL 및 0.0490 mg/mL로 측정되었다. 또한 2%(v/v) 초산 자체의 최소저해농도를 측정한 결과, B. cereus, L. mosocytogenes, E. eoli에 대해서는 control과 비교시 유의적인 항균효과는 나타나지 않았다. 반면에 S. enteritidis의 경우는 배양시간 4시간까지는 항균활성을 나타내었지만, 8시간 이후부터는 S. enteritidis의 성장이 control 보다 높아져 배양시간 20시간에서는 control 보다 약 2배 이상 균주의 성장을 촉진시켰다.차에 따른 개별화 학습을 가능하게 할 뿐만 아니라 능동적인 참여를 유도하여 학습효율을 높일 수 있을 것으로 기대된다.향은 패션마케팅의 정의와 적용범위를 축소시킬 수 있는 위험을 내재한 것으로 보여진다. 그런가 하면, 많이 다루어진 주제라 할지라도 개념이나 용어가 통일되지 않고 사용되며 검증되어 통용되는 측정도구의 부재로 인하여 연구결과의 축적이 미비한 상태이다. 따라서, 이에 대한 재고와 새로운 방향

• Journal of Internet Computing and Services
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• v.23 no.5
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• pp.145-154
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• 2022

Automatic Target Recognition (ATR) technology is emerging as a core technology of Future Combat Systems (FCS). Conventional ATR is performed based on IMINT (image information) collected from the SAR sensor, and various image-based deep learning models are used. However, with the development of IT and sensing technology, even though data/information related to ATR is expanding to HUMINT (human information) and SIGINT (signal information), ATR still contains image oriented IMINT data only is being used. In complex and diversified battlefield situations, it is difficult to guarantee high-level ATR accuracy and generalization performance with image data alone. Therefore, we propose a knowledge graph-based ATR method that can utilize image and text data simultaneously in this paper. The main idea of the knowledge graph and deep model-based ATR method is to convert the ATR image and text into graphs according to the characteristics of each data, align it to the knowledge graph, and connect the heterogeneous ATR data through the knowledge graph. In order to convert the ATR image into a graph, an object-tag graph consisting of object tags as nodes is generated from the image by using the pre-trained image object recognition model and the vocabulary of the knowledge graph. On the other hand, the ATR text uses the pre-trained language model, TF-IDF, co-occurrence word graph, and the vocabulary of knowledge graph to generate a word graph composed of nodes with key vocabulary for the ATR. The generated two types of graphs are connected to the knowledge graph using the entity alignment model for improvement of the ATR performance from images and texts. To prove the superiority of the proposed method, 227 documents from web documents and 61,714 RDF triples from dbpedia were collected, and comparison experiments were performed on precision, recall, and f1-score in a perspective of the entity alignment..