• Journal of Korea Entertainment Industry Association
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• v.15 no.4
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• pp.15-29
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• 2021

Many countries and companies are pursuing and developing Artificial intelligence as it is the core technology of the 4th industrial revolution. Global IT companies such as Apple, Microsoft, Amazon, Google and Samsung have all released their own AI assistant hardware products, hoping to increase customer loyalty and capture market share. Competition within the industry for AI agent is intense. AI assistant products that command the biggest market shares and customer loyalty have a higher chance of becoming the industry standard. This study analyzed the current status of major overseas and domestic IT companies in the field of artificial intelligence, and suggested future strategic directions for voice UI technology development and user satisfaction. In terms of B2B technology, it is recommended that IT companies use cloud computing to store big data, innovative artificial intelligence technologies and natural language technologies. Offering voice recognition technologies on the cloud enables smaller companies to take advantage of such technologies at considerably less expense. Companies also consider using GPT-3(Generative Pre-trained Transformer 3) an open source artificial intelligence language processing software that can generate very natural human-like interactions and high levels of user satisfaction. There is a need to increase usefulness and usability to enhance user satisfaction. This study has practical and theoretical implications for industry and academia.

• (The) Korean Journal of Advertising
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• v.29 no.7
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• pp.29-53
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• 2018

In our study, we investigated the effects of position of endorser and endorser's gaze direction(direct/averted_image/averted_text) on advertising attitude, purchase intent and brand recognition using eye-tracking method. Focusing on the printed cosmetic ads which the role of endorser is important and indirect persuade route is relatively is emphasized, we conducted experiment on 36 participants in 20s. As prior studies, our results shows that participants paid attention to more and faster on specific element which the endorser is gazing at. But it was not reflected to ad attitude and purchase intent directly. When the endorser is positioned in left the side, the highest purchase intent was shown in direct gaze condition, while when the endorser is on the right side, the highest ad attitude was shown in gazing image condition. Additionally, the brand recognition task following eye-tracking experiment shows that recognition accuracy was higher only in condition which the endorser is in the left side looking at the product image. These results demonstrated that the gaze direction of endorser plays a role as attentional guidance, which means it can lead customer's attention to particular region in the printed ad, but the effect can be varied depending on the position of endorser and which type of information the endorser is gazing at. Therefore, ultimately, to increase customer's ad attitude and purchase intent, complex consideration of not only the gazing direction of the endorser, but the position of endorser and other diverse elements is necessary.

• Journal of the Korean Society for information Management
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• v.21 no.3
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• pp.185-202
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• 2004

The electronic documents have the documental aspect that can legible by human and the electronic aspect that can be interpreted and processed automatically by machinery. This usability of electronic documents must be the reason that people use them in almost all the business areas rapidly in these days. That is because we have to utilize the characteristics to interchange electronic documents(EDI) effectively and efficiently. The electronic document interchange of Korean government cannot make the best of this benefit due to the traditional way of thinking based on paper document and the viewpoint of individual business, organization. and project. This paper proposed a direction of ED! for Korean government. At first. the concept of electronic docuemnts is defined. The reason and limitations of structuring the documents with XML and the hidden problems of present ED! in Korean public sector are also explained. And the way to preserve information, to design the structure of electronic document. and to maintain relevant standards is proposed.

• Journal of Science and Technology Studies
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• v.15 no.2
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• pp.163-189
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• 2015

While Science tries to be far from Society, it actually does yearn for the trust from Society, on the other side. Its efforts getting back the trust has been witnessed with its fast evolution, consistent distrust from Society and Scientists' accountability with investment of public fund. Furthermore, many scholars have argued that there is the need to integrate science and society. In this regards, this paper explores how to integrate both spheres by participatory evaluation. To identify how the participatory evaluation works and should be, three main issues are mentioned. One is about evaluation methods; Objective-oriented and Behaviour aspects. Second is about prerequisite factors; sharing scientific language and changed recognition between civil society and scientists. Third is about challenge to be tackled; epistemological gap among evaluators and complex index. Under these issues, this paper sets out that the participatory evaluation should adopt the appropriate evaluation methodology. Last but not least, self-recognition and motivation by evaluators themselves are important factors, along with societal system which can take participatory evaluation.

• Journal of The Korean Association For Science Education
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• v.35 no.6
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• pp.997-1006
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• 2015

Perception of the experiment is one of the most important factors of students' understanding of scientific inquiry and the nature of science. This study examined the perception of middle and high school students of the meaning of 'experiment' in the biological sciences. Semantic network analysis (SNA) was especially used to visualize students' perception structure in this study. One hundred and ninety middle school students and 200 high school students participated in this study. Students responded to two questions on the meaning of 'experiment' in science and biology. This study constructed four semantic networks based on the collected response. As a result, middle school students about the 'experiment' in science are 'we', 'direct', 'principle' of such words was aware of the experiments from the center to the active side. The high school students' 'theory', 'true', 'information' were recognized as an experiment that explores the process of creating a knowledge center including the word. In addition, middle school students relative to 'experiment' of the creature around the 'dissection', 'body', high school students were recognized as 'life', 'observation' observation activities dealing with the living organisms and recognized as a core. The results of this study will be used as important evidence in the future to map out an experiment in biological science curriculum.

• Journal of Digital Convergence
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• v.12 no.3
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• pp.299-308
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• 2014

Nowadays, dental tourism becomes phenomenon because of its cost-effectiveness, improvement of quality and technology, dental infrastructure, and attractive tourism. Korea as one of popular destination country had established dental system. On the other hand, Indonesia with high number of population is potential market for dental tourism. The aim of this study is to compare the knowledge, attitude, and experience towards dental tourism among Indonesian and Korean. Two cross-sectional descriptive surveys were conducted to collect the data. This study was used one questionnaire in two different languages due to nature of the study population. Data from a total 923 of Indonesian from 33 provinces in Indonesia was collected during the period from April through July 2010. On the other hand, during May until August 2010 data from a total of 312 Korean were obtained. It was found that the majority of participants in both countries had never heard about dental tourism. Among those who had heard about dental tourism, the most common source was internet. Ownership of dental insurance had significant relationship with knowledge of dental tourism among Indonesian while level of education and monthly internet usage had it among Korean (p<0.05). Attitudes of Indonesian and Korean people about dental tourism were negative due to assumption that dental services in their home country were satisfactory. 100% of Korean had no experience on dental treatment in other countries while 2.4% of Indonesian had experience with it. In conclusion, regarding all these evidences, comprehensive and positive information about dental tourism is needed to enhance people's knowledge, attitude, and experience.

• Journal of Intelligence and Information Systems
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• v.28 no.4
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• pp.251-273
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• 2022

Recently, research on applying text analysis to deep learning has steadily continued. In particular, researches have been actively conducted to understand the meaning of words and perform tasks such as summarization and sentiment classification through a pre-trained language model that learns large datasets. However, existing pre-trained language models show limitations in that they do not understand specific domains well. Therefore, in recent years, the flow of research has shifted toward creating a language model specialized for a particular domain. Domain-specific pre-trained language models allow the model to understand the knowledge of a particular domain better and reveal performance improvements on various tasks in the field. However, domain-specific further pre-training is expensive to acquire corpus data of the target domain. Furthermore, many cases have reported that performance improvement after further pre-training is insignificant in some domains. As such, it is difficult to decide to develop a domain-specific pre-trained language model, while it is not clear whether the performance will be improved dramatically. In this paper, we present a way to proactively check the expected performance improvement by further pre-training in a domain before actually performing further pre-training. Specifically, after selecting three domains, we measured the increase in classification accuracy through further pre-training in each domain. We also developed and presented new indicators to estimate the specificity of the domain based on the normalized frequency of the keywords used in each domain. Finally, we conducted classification using a pre-trained language model and a domain-specific pre-trained language model of three domains. As a result, we confirmed that the higher the domain specificity index, the higher the performance improvement through further pre-training.

• 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.

• Proceedings of the Korean Information Science Society Conference
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• 2001.04a
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• pp.607-609
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• 2001

본 논문은 ATM(Abstract Time Machine)으로 명세된 실시간 시스템에 대한 재/역공학 측면에서의 검증을 위한 Ada 코드로의 변환 과정에서 요구되는 DoME/ATM 파스트리 생성과정과 이를 통해 추출되는 정보를 이용하여 ATM을 SRL/ATM으로의 변환방법을 설계 구현한다. 임무 위급 시스템 같은 실시간 시스템을 명세, 분석, 검증하기 위한 정형기법인 ATM은 순환공학에서의 실시간 시스템 속성은 물론 특정 환경과 동적 정보 등을 명세하기 위한 정형기법이다. 본 논문에서는 DoME을 이용하여 실시간 시스템에서의 특정 요구사항에 대한 DoME/ATM을 생성하고, DoME의 기능을 이용하여 ATM을 스크립트 코드로 저장한 후, DoME/ATM 파스트리 생성기를 통해 명세 정보를 추출하여 SRL/ATM으로의 변환기를 설계 구현한다. 변환기에 의해 생성된 매개언어인 SRL은 명시적인 정의와 효율적 분석 정보를 제공함으로써 Ada, COBOL, C 등과 같은 실행코드를 생성할 수 있도록 하는 기반을 제공한다.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2000.04a
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• pp.307-316
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• 2000

MP3(MPEG 1 layer 3) 파일 형식(file format)은 최근 높은 압축율과 뛰어난 음질 복원 능력으로 주목을 받고 있다. 실제로 MP3의 압축율은 CD의 약 50분의 1 정도이고 음질은 CD 음질을 동일한 수준으로 유지할 수 있다.한편, 이러한 MP3의 장점 때문에 web을 통해 MP3 파일을 찾으려는 수요는 폭발적으로 증가하고 있지만 기존의 검색 엔진들이 가지고 있는 프로세스는 급속하게 update되고 있는 MP3 컨텐츠에 효과적으로 대응하지 못하고 있는 실정이다. 특히, 기존의 검색 엔진들은 미디어 파일을 위한 검색이 아닌 문자 기반의 검색 기능을 위해 개발되어 MP3 검색에는 부적절하거나, 파일 중심이 아닌 사이트 중심의 링크 변동에 대하여 수동적인 업데이트만을 수행하여 빠른 변화에 능동적으로 대응하기 어려운 경우가 많다.현재 미디어 파일을 위한 검색 엔진들은 여럿 서비스 중이지만, 텍스트 중심의 탐색 방법을 사용하고, 정기적인 DB update 방법에 관해서도 문자 기반의 검색 엔진과 동일한 방법을 사용하고 있다. 또한, 국내에서는 web 서비스를 위한 미디어 파일 탐색 알고리즘과 지능형 탐색 방법에 등에 관한 연구 역시 거의 전무한 상태이다.본 논문은 MP3 파일 전문 검색을 위한 지능형 프로세스를 설계와 구현 결과에 관한 것으로, 기존의 미디어 검색 엔진들이 가지는 문제점을 지적하고 보다 효율적이고 능동적인 미디어 파일 탐색을 위한 방법을 제시한다. 특히, MP3 파일에 대한 미디어 파일 검증 알고리즘과 verification method을 제안하고, 이러한 메커니즘에 따라 구현된 지능형 robot과 spider 등으로 구성된, 신뢰성 있고 지능적인 MP3 검색 엔진 지원 시스템의 설계와 구현 결과 그리고 성능 등을 종합적으로 요약한다.실어증 환자들은 화시적 대명사를 조응적 대명사보다 더 잘 처리하는 동일한 결과를 보였다. 이러한 실험 결과들은 실어증 환자들이 뇌손상으로 인해 문법적 언어처리에는 어려움을 보이지만 비언어적인, 세상 지식과 관련된 화시적 대명사의 처리는 가능할 것이라는 가설을 뒷받침 해준다. 또한 이러한 실험 결과를 통해 대명사의 기능적인 측면에서 화시와 조응의 처리가 구분되어 있음을 보여준다.l mechanism is concentrate on only the reaction zone. As strain rate and CO2 quantity increase, NO production is remarkably augmented.our 10%를 대용한 것이 무첨가한 것보다 많이 단단해졌음을 알 수 있었다. 혼합중의 반죽의 조사형 전자현미경 관찰로 amarans flour로 대체한 gluten이 단단해졌음을 알수 있었다. 유화제 stearly 칼슘, 혹은 hemicellulase를 amarans 10% 대체한 밀가루에 첨가하면 확연히 비용적을 증대시킬 수 있다는 사실을 알 수 있었다. quinoa는 명아주과 Chenopodium에 속하고 페루, 볼리비아 등의 고산지에서 재배 되어지는 것을 시료로 사용하였다. quinoa 분말은 중량의 5-20%을 quinoa를 대체하고 더욱이 분말중량에 대하여 0-200ppm의 lipase를 lipid(밀가루의 2-3배)에 대하여 품질개량제로서 이용했다. 그 결과 quinoa 대량 7.5%에서 비용적, gas cell이 가장 긍정적 결과를 산출했고 반죽의 조직구조가 강화되었다. 또 quinoa 대체에 의해 전분-지질 복합제의 흡열량이 증대된 것으로부터 전분-지질복합제의 형성 촉진이 시사되었다.이것으로 인하여 호화억제에 의한 노화 방지효과가 기대되었지만