• Journal of the Korea Society of Computer and Information
• /
• v.27 no.7
• /
• pp.115-124
• /
• 2022

The purpose of this study is to analyze and present keywords, trends, and language networks of keywords for each year of the pedagogical exam of the secondary teacher's employment exam for the 2019~2022 school year. The main research methods were text mining technique and language network analysis method, and analysis programs were KrKwic, Wordcloud Maker, Ucinet6, NetDraw, etc. The research results are as follows; First, keywords such as teacher, student, curriculum, class, and evaluation appeared in the top rankings, and keywords (online, wiki, discussion ceremony, information, etc.) that reflect the recent online class progress in the current COVID-19 situation also tended to appear. The keywords with high frequency of occurrence in the four-year integrated text were student(44), teacher(39), class(27), school(18), curriculum(16), online(10), and discussion method(8). Second, the overall language network of the keywords with high frequency of 4 years showed a significant level of density(0.566), total number of links(492), and average degree of links(16.4). The degree centrality was found in the order of teacher(199.0), class(197.0), student(185.0), and school(150.0). Betweenness centrality was found in the order of teacher(30.859), class(18.956), student(16.054), and school (15.745). It is expected that the results of this study will serve as data to be considered for preparatory teachers, institutions and related persons, and teachers and administrators of secondary school teacher training institutions.

• Journal of Korea Multimedia Society
• /
• v.13 no.11
• /
• pp.1586-1593
• /
• 2010

Vocabulary recognition error correction method has probabilistic pattern matting and dynamic pattern matting. In it's a sentences to based on key-word by semantic analysis. Therefore it has problem with key-word not semantic analysis for morphological changes shape. Recognition rate improve of vocabulary unrecognized reduced this paper is propose. In syllable restoration algorithm find out semantic of a phoneme recognized by a phoneme semantic analysis process. Using to sentences restoration that morphological analysis and morphological analysis. Find out error correction rate using phoneme likelihood and confidence for system parse. When vocabulary recognition perform error correction for error proved vocabulary. system performance comparison as a result of recognition improve represent 2.0% by method using error pattern learning and error pattern matting, vocabulary mean pattern base on method.

• Journal of Digital Convergence
• /
• v.13 no.12
• /
• pp.161-169
• /
• 2015

Realtime search words of typical portal sites appear every few seconds in descending order by search frequency in order to show issues increasing rapidly in interest. However, the characteristics of realtime search words reordering within too short a time cause problems that they go over the key issues of the day. This paper proposes a method for deriving a key issue through association analysis of realtime search words. The proposed method first makes scores of realtime search words depending on the ranking and the relative interest, and derives the top 10 search words through descriptive statistics for groups. Then, it extracts association rules depending on 'support' and 'confidence', and chooses the key issue based on the results as a graph visualizing them. The results of experiments show that the key issue through association rules is more meaningful than the first realtime search word.

• Journal of the Korea Society of Computer and Information
• /
• v.15 no.10
• /
• pp.165-172
• /
• 2010

There are two method of error correction in vocabulary recognition system. one error pattern matting base on method other vocabulary mean pattern base on method. They are a failure while semantic of key-word problem for error correction. In improving, in this paper is propose system of key-word error correction using algorithm of syllable restoration. System of key-word error correction by processing of semantic parse through recognized phoneme meaning. It's performed restore by algorithm of syllable restoration phoneme apply fluctuation before word. It's definitely parse of key-word and reduced of unrecognized. Find out error correction rate using phoneme likelihood and confidence for system parse. When vocabulary recognition perform error correction for error proved vocabulary. system performance comparison as a result of recognition improve represent 2.3% by method using error pattern learning and error pattern matting, vocabulary mean pattern base on method.

• Journal of Digital Convergence
• /
• v.11 no.1
• /
• pp.225-236
• /
• 2013

The voice recognition has been made continuously. Now, this technology could support even natural language beyond recognition of isolated words. Interests for the voice recognition was boosting after the Siri, I-phone based voice recognition software, was presented in 2010. There are some occasions implemented voice enabled services using Korean voice recognition softwares, but their accuracy isn't accurate enough, because of background noise and lack of control on voice related features. In this paper, we propose a sort of multi-purpose preprocessor to improve this situation. This supports Keyword spotting in the continuous speech in addition to noise filtering function. This should be independent of any voice recognition software and it can extend its functionality to support continuous speech by additionally identifying the pre-predicate and the post-predicate in relative to the spotted keyword. We get validation about noise filter effectiveness, keyword recognition rate, continuous speech recognition rate by experiments.

• Proceedings of the Korean Information Science Society Conference
• /
• 2002.04b
• /
• pp.331-333
• /
• 2002

웹그래프는 웹문서 간의 하이퍼링크를 각 웹문서의 핵심어간의 링크관계로 추상화하대 이 관계를 이용하여 핵심어의 개념 그래프를 구축하고 질의의 확장이나 영역지식을 제공하는 개념 기반 검색이 가능한 검색 시스템이다 본 논문에서는 웹그래프에서 가능했던 질의어에 대한 한 단계의 질의 확장에 그치지 않고. 최초의 질의어와 이후 확장어들에 대한 문맥을 유지하대 추가적인 다단계의 확장이 가능하도록 하는 방법을 계시한다. 검색 시스템 사용자는 최초 질의어가 속하는 해당 분야에 대한 지식이 부족한 경우, 문맥을 유지한 확장을 통하여 자신이 찾고자 하는 바를 명확히 해 나가며 세부 질의를 구축할 수 있고 해당 분야에 대한 지식을 얻는 것이 가능하다

• Journal of Korea Multimedia Society
• /
• v.13 no.9
• /
• pp.1322-1328
• /
• 2010

Recently, keyword spotting system is greatly in the limelight as UI(User Interface) technology of ubiquitous home network system. Keyword spotting system is vulnerable to non-stationary noises such as TV, radio, dialogue. Especially, speech recognition rate goes down drastically under the embedded DSP(Digital Signal Processor) environments because it is relatively low in the computational capability to process input speech in real-time. In this paper, we propose a new keyword spotting system using the call-command method, which is consisted of small number of recognition networks. We select the call-command such as 'narae', 'home manager' and compose the small network as a token which is consisted of silence with the noise and call commands to carry the real-time recognition continuously for input speeches.

• Proceedings of the Korean Society for Information Management Conference
• /
• 2012.08a
• /
• pp.147-151
• /
• 2012

본 연구는 국내 마취통증의학분야의 핵심 학술잡지 4권을 선정하여 최근 5년(2007-2011)동안 발표된 논문에 대한 계량서지학적 분석을 하였다. 이를 위하여 마취통증의학분야의 핵심 학술잡지의 특성과 저자의 생산성, 핵심 주제어, 핵심주제어의 변화 등을 분석하였다. 그 결과 1년에 8.4편을 발표한 연구자가 가장 높은 생산성을 보였고, 핵심주제어는 마취제 종류와 마취방법, 그리고 이에 관련된 증상에 관한 것임을 알 수 있었다.

• Journal of Digital Convergence
• /
• v.19 no.9
• /
• pp.241-255
• /
• 2021

The purpose of this study was to verify the effects of the online lifelong education program which is a key words card production and demonstration on the job preparation skills for work for part-time developmental disabilities. The subjects of this study were three developmental disabilities workers working in a restaurant business on a part-time basis, and the experimental environment was composed of the home and subway stations where they reside. The study method used a single subject study, and the baseline, intervention, and maintenance were reflected as the design conditions of the experiment. As a result, the subjects of the study effectively acquired and maintained the job preparation skills for work work through the online lifelong education program for the production and demonstration of key words cards. Through the results of this study, it was possible to discuss and conclude that the significant functional relationship between the independent variables and the dependent variables is valid.

• Proceedings of the Korea Database Society Conference
• /
• 1998.09a
• /
• pp.279-292
• /
• 1998

4. 특징 및 도입효과 4-1. 구축시스템 특징 $.$다양한 입력자료에 대한 원문 검색 - Image, Video, 탁본, WP 등 ㆍ국내 최초로 개발된 OTRS(OCR-generated Text Retrieval System)시스템 -자료 속의 핵심어 위치를 이미지 상에서 확인 ㆍVR 시스템을 통한 WEB Service $.$ IR 시스템을 통한 색인어 검색 및 조건에 의한 검색(중략)