• Title/Summary/Keyword: 언어 융합

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A Field Research on Multi-Language Sign System in Hospital at the Point of View in Convergent Study - Focused on General Hospital in Busan and South Gyeongsang Province - (융합적 관점에서 본 병원 사인시스템 다중언어 표기 현황 조사 - 부산 및 경남지역 의료기관을 중심으로 -)

  • Park, Han Na;Paik, Jin Kyung
    • Korea Science and Art Forum
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    • v.37 no.1
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    • pp.87-97
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    • 2019
  • The study began in recent years with the aim of grasping the nation's medical status following the fast-growing trend of international medical tourism and attracting foreign patients, among other things, Busan, which ranks second in attracting foreign patients after the nation's capital, Seoul, has been highly active in the past eight years, with foreign patients rising by about 426 percent, and Russian patients entering the sea. In addition, Gimhae and Changwon, the Busan-based Gyeongsangnam-do region, ranked first and second in number of foreign residents, and are inhabited by a variety of foreign workers. Medical institutions, such as hospitals, should be able to find directions within hospitals. It is also a space where information in various languages, including Korean, English, Chinese, or Russian, must be delivered in a single medium. Based on this research, the purpose of this research is to provide converged information that helps foreigners who are not familiar with Korean language easily understand the proposed recognition system when visiting hospitals. Therefore, this paper is applied to a multi-language survey of six medical institutions (A, B, C, D, E, F) at the university hospital in Busan, and 10 medical institutions (R, J) in Gimhae, South Gyeongsang Province with high foreign residents. Research results and contents are as follows. First, the results of analyzing the design of the sinusoidal system show that the font uses colorless Gothic fonts, arrows, and pictograms to introduce the design of a typical hospital sign system. Second, the results of the multi-lingual situation were found to have only two languages in the system, such as Korean and English, and to have four languages, including Korean, English, Chinese, and Russian, according to their geographical location. However, it was judged that most medical institutions currently have only two languages (Korean, English) that may cause some discomfort in terms of language for foreign patients in non-English speaking countries. Based on these findings, it is necessary to propose designs that are considered by Koreans as well as foreign users in the use of multilingual hospital sign systems.

Mathematics and Disciplinary Convergence (수학과 학문융합)

  • Park, Chang-Kyun
    • Journal for History of Mathematics
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    • v.23 no.1
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    • pp.67-78
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    • 2010
  • This paper aims to show the role of mathematics in the age of disciplinary convergence. Classifying disciplinary convergence into three levels by its degree, I claim that mathematics can contribute to disciplinary convergence in three aspects: theoretical, linguistical, and spiritual. Then I assert that there is a corresponding relationship between three levels of convergence and three contributing aspects.

ICLAL: In-Context Learning-Based Audio-Language Multi-Modal Deep Learning Models (ICLAL: 인 컨텍스트 러닝 기반 오디오-언어 멀티 모달 딥러닝 모델)

  • Jun Yeong Park;Jinyoung Yeo;Go-Eun Lee;Chang Hwan Choi;Sang-Il Choi
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.11a
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    • pp.514-517
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    • 2023
  • 본 연구는 인 컨택스트 러닝 (In-Context Learning)을 오디오-언어 작업에 적용하기 위한 멀티모달 (Multi-Modal) 딥러닝 모델을 다룬다. 해당 모델을 통해 학습 단계에서 오디오와 텍스트의 소통 가능한 형태의 표현 (Representation)을 학습하고 여러가지 오디오-텍스트 작업을 수행할 수 있는 멀티모달 딥러닝 모델을 개발하는 것이 본 연구의 목적이다. 모델은 오디오 인코더와 언어 인코더가 연결된 구조를 가지고 있으며, 언어 모델은 6.7B, 30B 의 파라미터 수를 가진 자동회귀 (Autoregressive) 대형 언어 모델 (Large Language Model)을 사용한다 오디오 인코더는 자기지도학습 (Self-Supervised Learning)을 기반으로 사전학습 된 오디오 특징 추출 모델이다. 언어모델이 상대적으로 대용량이기 언어모델의 파라미터를 고정하고 오디오 인코더의 파라미터만 업데이트하는 프로즌 (Frozen) 방법으로 학습한다. 학습을 위한 과제는 음성인식 (Automatic Speech Recognition)과 요약 (Abstractive Summarization) 이다. 학습을 마친 후 질의응답 (Question Answering) 작업으로 테스트를 진행했다. 그 결과, 정답 문장을 생성하기 위해서는 추가적인 학습이 필요한 것으로 보였으나, 음성인식으로 사전학습 한 모델의 경우 정답과 유사한 키워드를 사용하는 문법적으로 올바른 문장을 생성함을 확인했다.

A Convergence Study on the Relationship among Job Rotation, Verbal Abuse and Organizational Commitment of Perioperative Nurses (수술실 간호사의 배치전환, 언어폭력, 조직몰입간의 관련성에 대한 융복합 연구)

  • Yoon, Ke-Sook
    • Journal of the Korea Convergence Society
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    • v.7 no.3
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    • pp.131-141
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    • 2016
  • This study was conducted to examine the relationship among job rotation, verbal abuse and organizational commitment and the incfluencing factors of organizational commitment of perioperative nurses. 312 perioperative nurses attended at the KAORN conference agreed to participate in this research were examined. To analyze the data, SPSS 21.0 program was used. Study findings revealed a statistically significant relationships with positive relationship between job rotation and organizational commitment, but negative relationship between verbal abuse and organizational commitment. The most influencing factor was job satisfaction explaining 57.7%, while job rotation and verbal abuse did not show influence significantly. Some differentiated education programs are needed to develop to enhance the organizational commitment as well as conducting further study including meaningful variables.

The evaluation of methodological quality of meta-analysis studies in speech language pathology using AMSTAR (AMSTAR에 기반한 국내 언어치료 분야 메타분석 논문의 방법론적 질평가)

  • Han, Minju;Byeon, Haewon
    • Journal of the Korea Convergence Society
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    • v.11 no.2
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    • pp.161-165
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    • 2020
  • Although research using meta-analysis is increasing in the field of rehabilitation science, not all meta-analytical papers are of the same quality. In particular, although meta-analysis is a research method with the highest level of evidence, it may be possible to derive distorted conclusions or alternatives by simply integrating representative values without considering heterogeneity among individual studies. This study analyzed the current status of meta-analysis papers on the subject of language arbitration published in Korea from January 2010 to June 2019, and used A Measurement Tool to Assess the Methodological Quality of Systematic Review (AMSTAR). As a result of evaluating the methodological quality of the final five papers, the average of 7.4 points out of 11 points was found above average. In order to raise the qualitative level of Meta-analysis in speech-language pathology in the future, it is necessary to include verification of publication bias and specification of conflicts of interest.

A Study on Language Anxiety and Learning Achievement through Immersive Virtual Reality English Conversation Learning Program (몰입형 가상현실 영어 회화 학습 프로그램을 통한 언어불안감과 학습성취도에 대한 연구)

  • Jeong, Ji-Yeon;Seo, Su-Jong;Han, Ye-Jin;Jeong, Heisawn
    • Journal of the Korea Convergence Society
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    • v.11 no.1
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    • pp.119-130
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    • 2020
  • This study developed an English conversation learning program in immersive virtual reality (VR) environments and compared its effects with non-immersive VR environment using a computer monitor. The effects of the program was assessed using language anxiety and learning achievement. The results indicated that students' language anxiety decreased significantly after learning English conversation in VR environment, but there was no difference between immersive and non-immersive VR. The two VR conditions also produced similar learning outcomes. Future research on immersive VR need to address cyber sickness problems and develop effective learning contents in order to realize its potential for learning.

Requirements Analysis in Security Model Design of Mobile Agent Systems (이동 에이전트 시스템의 보안모델 설계를 위한 요구사항 분석)

  • Jin-Ho Park;Jin-Wook Chung
    • Convergence Security Journal
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    • v.2 no.2
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    • pp.77-88
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    • 2002
  • A mobile agent system is an infrastructure that supports the mobile agent paradigm. The main challenges encountered in designing this infrastructure are discussed in this paper. After introducing a generic mobile agent system, we discuss the design issues at two levels. System level issues like the provision of agent mobility and security, are mainly encountered in developing the runtime environments for agent execution. Language level issues, such as agent programming models and primitives, arise in providing support for mobile agent programming, mainly at the library level. This paper Identifies such system and language-level issues, and illustrates the different ways developers ate addressing them. We outline the specific challenges addressed by this dissertation, primarily in the area of mobile agent security.

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Fusion and (-ko) ha-: Focusing on the [tae]- type expressions (융합 현상과 '(-고) 하-'의 관련성:[대]형 표현의 분석을 중심으로)

  • Chae Hee-Rahk
    • Language and Information
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    • v.10 no.1
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    • pp.1-20
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    • 2006
  • We can distinguish two different groups of 'fusion expressions' depending on whether the verb (-ko) ha- 'do' can be recovered from the contracted expression concerned or not: recoverable and unrecoverable fusion expressions. Many expressions belonging to the former group show alternations between the [da]-type and the [dae]-type: e.g., o-nta-nta and o-ntae-nta '...says... is coming.' On the other hand, some expressions like ka-ntae can only be realized as the [dae]-type. The main purpose of this paper is to account for these [dae]-type expressions. First, we assume that they have an inaudible/invisible quotation $verb\;{\phi}-$, which takes as its complement a verb phrase with a neutral speech-level ending. This quotation verb is derived from the quotation verb ha-. Second, we assume that the quotation $verbs\;{\phi}-$ and ha- have the [j] sound as their stem-final element, which means that these verbs are actually represented as ${\phi}-j-$ and ha-j-, respectively. In this system, the [tae]-type expressions come out naturally from the behavior of the [j] sound. We do not employ any ad hoc phonological rules to derive the [dae]-type expressions from the corresponding [da]-type expressions.

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Verb Prediction for Korean Language Disorders in Augmentative Communicator using the Neural Network (신경망을 이용한 언어장애인용 문장발생장치의 동사예측)

  • Lee Eunsil;Min Hongki;Hong Seunghong
    • Journal of the Institute of Convergence Signal Processing
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    • v.1 no.1
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    • pp.32-41
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    • 2000
  • In this paper, we proposed a method which predict the verb by using the neural network in order to enhance communication rate in augmentative communication system for Korean language disorders. Each word is represented by an information vector according to syntax and semantics, and is positioned at the state space by being partitioned into various regions different from a dictionary-like lexicon. Conceptual similarity is realized through position in state space. When a symbol was pressed, we could find the word for the symbol at the position in the state space. In order to prevent verb prediction's redundancy according to input units, we predicted the verb after separating class using the neural network. In the result we can enhance $20\% communication rate in the restricted space

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Qualitative Exploration on Children's Interactions in Telepresence Robot Assisted Language Learning (원격로봇 보조 언어교육의 아동 상호작용 질적 탐색)

  • Shin, Kyoung Wan Cathy;Han, Jeong-Hye
    • Journal of the Korea Convergence Society
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    • v.8 no.3
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    • pp.177-184
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    • 2017
  • The purpose of this study was to explore children and robot interaction in distant language learning environments using three different video-conferencing technologies-two traditional screen-based videoconference technologies and a telepresence robot. One American and six Korean elementary school students participated in our case study. We relied on narratives of one-on-one interviews and observation of nonverbal cues in robot assisted language learning. Our findings suggest that participants responded more positively to interactions via a telepresence robot than to two screen-based video-conferencings, with many citing a stronger sense of immediacy during robot-mediated communications.