• Title/Summary/Keyword: 텍스트 연구

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A Study on the Recognition of Population Problems of Male and Female Students using Text-mining: To Drive the Implications of Population Education (텍스트마이닝기법을 활용한 남녀 학생의 인구문제에 관한 인식 분석: 인구교육의 시사점 도출을 위하여)

  • Wang, Seok-Soon;Shim, Joon-Young
    • Journal of Korean Home Economics Education Association
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    • v.31 no.3
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    • pp.73-90
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    • 2019
  • The purpose of this study was to explore the differences in perceptions of male and female students about population problems and to draw up implications for population education. Using text mining, the report about population problem, which had written by students in population education class, were analysed. After extracting key words, semantic networks were visualized. The results were as follows. First, the high frequency words were the same for each gender. Second, key words based on frequency did not differ depending on gender. And the key words extracted by the correlation analysis and bigram were different. That is, in the semantic network of girls' words, the network of "life"-"marriage"-"birth"-"pregnancy" appeared independently, distinguishing it from male students who showed separate objective links to population problems. Therefore, it drew suggestions that male and female students should be viewed as heterogeneous groups with different cognitive structures on population problems and that the content and methods of population education should be approached differently depending on gender.

Design of a multimedia interface for the description of human error caused nuclear power plant trips (인적오류로 인한 원자력발전소 고장정지 사건묘사를 위한 멀티미디어 인터페이스 설계)

  • 박근옥
    • Proceedings of the ESK Conference
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    • 1993.10a
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    • pp.65-75
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    • 1993
  • 원자력발전소에서 발생하는 고장정지 사건에 내포된 인적오류의 발생내용을 흥미있고 현장감 있게 묘사시킴과 동시에 종사원들의 인적오류를 저감시키기 위한 새로운 교육훈련방 법으로써 멀티미디어 기술의 사용을 고려하였다. 즉, 컴퓨터 환경하에서 숫자와 텍스트, 음 향 및 음성, 그래픽, 애니메이션, 화상 등의 미디어를 사용하여 인적오류로 인한 고장정지 사건발생의 내용을 전달하는 새로운 교육훈련 방법을 사용하는 것이다. 이를 위하여 고장정 지 사건과 관련한 원자력발전소 구성정보와 종사원의 활동정보를 입출력하기 위한 멀티미디어 인터페이스를 설계하였다. 설계는 멀티미디어 제공환경 구축과 인터페이스 운영논리 설정의 두단계로 구성한 절차에 따라 수행하였다. 멀티미디어 인터페이스는 원자력발전소 구성정보를 설계하여 저장시켜둔 퍼스널 컴퓨터 환경하에서 운영되며, 입력 및 출력의 두가지 인터페이스 를 갖는다. 입력 인터페이스는 인적 오류를 포함한 고장정지 사건의 발생내용을 숫자, 텍스트, 음성 미디어로 받아들여 출력 인터페이스에서 사용될 수 있도록 미디어 결합을 수행하고, 컴퓨터 저장장치에 저장하는 기능을 수행한다. 출력 인터페이스는 저장장치에 기록된 내용을 판독하여 고장정지의 진행경위와 인적오류의 발생내용을 숫자, 문자, 텍스트, 음성, 음향, 그래픽 애니메 이션, 정지화상으로 원자력발전소 종사원들에게 출력시켜 주는 기능을 수행한다. 멀티미디어 출력정보는 사용자가 CRT 화면에 제공되는 버튼 또는 Click Touch 메뉴를 사용함에 따라 이전, 이후의 출력정보로 전이할 수 있도록 하였다.상대적으로 중요한 검사 항목으로 나타났다. 또한 상대적 중요도 결과를 적용한 적성검사 성적이 적용하지 않은 적성검사 성적에 비해 비행성적에 대한 예측 능력이 좋은 것으로 평가되었다.al age)가 있다는 것을 의미하는 것이다. 한편, 생산현장에서는 자동화, 기계화가 진보되어 육체적인 노동이 경감된 결과, 중고령자라도 할 수 있는 작업이 많아지고 있다. 또, VDT (Visual Dislay Terminal) 작업과 같은 정보처리 작업의 수요가 증가하여 그 인재의 부족이 지적되고 있다. 따라서 중고령자의 기능을 조사하여 어떠한 작업에 적합한가를 판단하는 것이 중요한 과제로 되었다. 그러나 노동에는 많은 기능이 관여 하고, 그 내용에 따라서 요구되는 기능이 서로 다르기 때문에 노동적응능력의 기본적인 기능으로 보여지는 것에 좁혀서 작업능력의 연령증가 변화에 대하여다원적 평가를 하는 것이 실제적이라고 할 수 있다. 따라서 본 연구에서는 인간이 가지고 있는 다수의 기능중에서 수지교 치성과 연령증가와의 관계를 조사한다. 만약 연령증가 만으로 수지교치성을 평가 할 수 없는 경우에는 어떠한 요인이 수지기민성의 변화에 영향을 미치는가를 검토한다.t list)에서 자동적으로 사건들의 순서가 결정되도록 확장하였으며, 설비 제어방식에 있어서도 FIFO, LIFO, 우선 순위 방식등을 선택할 수 있도록 확장하였다. SIMPLE는 자료구조 및 프로그램이 공개되어 있으므로 프로그래머가 원하는 기능을 쉽게 추가할 수 있는 장점도 있다. 아울러 SMPLE에서 새로이 추가된 자료구조와 함수 및 설비제어 방식등

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Cloning and Characterization of a Gene Coding for a Dextransucrase from Leuconostoc mesenteroides B-742CB (Leuconostoc mesenteroides B-742CB로부터 Dextransucrase를 Coding하는 유전자 분리 및 특성 연구)

  • 박미란;이소영;류화자;김호상;강희경;유선균;조성용;조동련;김도만
    • KSBB Journal
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    • v.16 no.2
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    • pp.188-199
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    • 2001
  • A gene encoding the dextransucrase(dsCB) that synthesizes mostly $\alpha-(1\rightarrow6)$ linked dextran with low amount(10%) of $\alpha-(1\rightarrow3)$ branching was cloned and sequenced from Leuconostoc mesenteroides B-742CB. The 6.1 kbp DNA fragment carrying dsCB showed one open reading frame(ORF) composed of 4,536bp. The deduced amino acid sequence shows that it begins from the start codon(ATG) at position 698 of the cloned DNA fragment and extends to the termination condon(TAA) at position 5,223. The enzyme is consisted of 1,508 amino acids and has an calculated molecular mass of 168.6kDa. This calculated Mw was in good agreement with an activity band of 170kDa on non-denaturing SDS-PAGE. A recombinant E. coli DH5 $alpha$ harboring pDSCB produced extracellular dextransucrase in 2% sucrose medium, and synthesized both soluble and insoluble dextran. To compare the properties of enzyme with B-742CB dextransucrase, the acceptor reaction, hydrolysis of dextran and methylation were performed. The expressed enzyme showed the same properties as B-742CB dextransucrease, but its ability to synthesize $\alpha-(1\rightarrow3)$ branching was lower than that of B-742CB dextransucrase. In order to identify the critical amino acid residues known as conserved regions related to catalytic activity, Asp-492 was replaced with Asn. D492N resulted in a 1.6 fold decrease in specific activity.

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A Visual Programming Environment on Tablet PCs to Control Industrial Robots (산업용 로봇 제어를 위한 태블릿 PC 기반의 비주얼 프로그래밍 연구)

  • Park, Eun Ji;Seo, Kyeong Eun;Park, Tae Gon;Sun, Duk Han;Cho, Hyeonjoong
    • KIPS Transactions on Software and Data Engineering
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    • v.5 no.2
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    • pp.107-116
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    • 2016
  • Industrial robots have been usually controlled using text-based programming languages provided by each manufacturer with its button-based TP(Teaching Pendent) terminal. Unfortunately, when we consider that people who manipulate TPs in manufacturing sites are mostly unskilled with no background knowledge about computer programming, these text-based programming languages using button-based interaction on manufacturing sites are too difficult for them to learn and use. In order to overcome the weaknesses of the text-based programming language, we propose a visual programming language that can be easily used on gesture-enabled devices. Especially, in our visual programming environment, each command is represented as a block and robots are controlled by stacking those blocks using drag-and-drop gestures, which is easily learnable even by beginners. In this paper, we utilize a widely-spread device, Tablet PC as the gesture-enabled TP. Considering that Tablet PC has limited display space in contrast to PC environments, we designed different kinds of sets of command blocks and conducted user tests. Based on the experiment results, we propose an effective set of command blocks for Tablet PC environment.

Trend Analysis in Maker Movement Using Text Mining (텍스트 마이닝을 이용한 메이커 운동의 트렌드 분석)

  • Park, Chanhyuk;Kim, Ja-Hee
    • The Journal of the Korea Contents Association
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    • v.18 no.12
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    • pp.468-488
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    • 2018
  • The maker movement is a phenomenon of society and culture where people who make necessary things come together and share knowledge and experience through creativity. However, as the maker movement has grown rapidly over the past decade, there is still a lack of consensus for how far they will be viewed as a maker movement. We need to look at how the maker movement has changed so far in order to find the direction of development of the maker movement. This study analyzes the media articles using text-based big data analysis methodology to understand how the issue of the maker movement has changed in general media. In particular, we apply Keyword Network Analysis and DTM(Dynamic Topic Model) to analyze changes of interest according to time. The Keyword Network Analysis derives major keywords at the word level in order to analyze the evolution of the maker movement, and DTM helps to identify changes in interest in different areas of the maker movement at three levels: word, topic, and document. As a result, we identified major topics such as start-ups, makerspaces, and maker education, and the major keywords have changed from 3D printer and enterprise to education.

A Study on Improving Performance of the Deep Neural Network Model for Relational Reasoning (관계 추론 심층 신경망 모델의 성능개선 연구)

  • Lee, Hyun-Ok;Lim, Heui-Seok
    • KIPS Transactions on Software and Data Engineering
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    • v.7 no.12
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    • pp.485-496
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    • 2018
  • So far, the deep learning, a field of artificial intelligence, has achieved remarkable results in solving problems from unstructured data. However, it is difficult to comprehensively judge situations like humans, and did not reach the level of intelligence that deduced their relations and predicted the next situation. Recently, deep neural networks show that artificial intelligence can possess powerful relational reasoning that is core intellectual ability of human being. In this paper, to analyze and observe the performance of Relation Networks (RN) among the neural networks for relational reasoning, two types of RN-based deep neural network models were constructed and compared with the baseline model. One is a visual question answering RN model using Sort-of-CLEVR and the other is a text-based question answering RN model using bAbI task. In order to maximize the performance of the RN-based model, various performance improvement experiments such as hyper parameters tuning have been proposed and performed. The effectiveness of the proposed performance improvement methods has been verified by applying to the visual QA RN model and the text-based QA RN model, and the new domain model using the dialogue-based LL dataset. As a result of the various experiments, it is found that the initial learning rate is a key factor in determining the performance of the model in both types of RN models. We have observed that the optimal initial learning rate setting found by the proposed random search method can improve the performance of the model up to 99.8%.

Study of instruction of recreation text according to the inheritance and acculturation of Korean classical literature text -Focused on 'On Dal Jeon' and Yoon seok san's 'On Dal's Dream'- (고전 텍스트의 계승과 변용에 따른 재창조 텍스트의 지도 방법 연구 -<온달전>과 윤석산의 <온달의 꿈>을 중심으로-)

  • Lee, Young-taek
    • Journal of Korean Classical Literature and Education
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    • no.16
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    • pp.147-179
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    • 2008
  • Classical literature texts have been transmitted and recreated as subjective meanings in a wide variety of genres. Authors recreate another world with their own imagination and classical literature texts. This study has been conducted to analysis 'OnDal's Dream' which is an adaptation from 'OnDalJeon' in order to figure out the method of inheritance and the subject and message of the adaptation. The process of inheritance and acculturation appears in the literary world. Some adaptations stick to the genre of the original text, other adaptations change to various genres. There is the process of inheritance and acculturation in the aspect of structure of the adaptation 'OnDal's Dream'. lntertextuality can be found between 'OnDalJeon' and 'OnDal's Dream' in terms of the stages such as 'confrontation' between the ego and the world and 'overcoming' hardships. However, the recreation text has acculturation of the structure that shows the potential desire for elevation of social status at the end part of the work so I could possibly show that the adaptation has limitation because it was far from the dream of common people and laborers at that time. There are different structures and recognition systems between 'OnDal Jeon' and 'OnDal's Dream' because the formal is an epic tale the other is lyric tale. An epic tale has some partial symbols in its story line, while an lyric tale is a symbol as a whole. There is an exhibition of deep emotion which is subjectivized and symbolized against the world in the adaptation 'OnDal's Dream'. And the inheritance of unreality, which is acculturation to the world of dream, from the original text can be found in the adaptation. First of all, study between the original text and the recreation text should be conducted in terms of intertextuality. Secondly, an instruction on the inheritance which is based on intertextuality between the original text and the recreation text should be conducted. Thirdly, an instruction about the structure of a genre and differences of recognition systems according to inheritance or conversion of a genre. It will be helpful for children to stimulate to take an interest in classical literature texts and traditional arts, to learn more recreation texts, and to develop the practical ability to recreate works. Based on above study, an instruction which shows a spiritual value of literature should be conducted.

Technology Convergence & Trend Analysis of Biohealth Industry in 5 Countries : Using patent co-classification analysis and text mining (5개국 바이오헬스 산업의 기술융합과 트렌드 분석 : 특허 동시분류분석과 텍스트마이닝을 활용하여)

  • Park, Soo-Hyun;Yun, Young-Mi;Kim, Ho-Yong;Kim, Jae-Soo
    • Journal of the Korea Convergence Society
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    • v.12 no.4
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    • pp.9-21
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    • 2021
  • The study aims to identify convergence and trends in technology-based patent data for the biohealth sector in IP5 countries (KR, EP, JP, US, CN) and present the direction of development in that industry. We used patent co-classification analysis-based network analysis and TF-IDF-based text mining as the principal methodology to understand the current state of technology convergence. As a result, the technology convergence cluster in the biohealth industry was derived in three forms: (A) Medical device for treatment, (B) Medical data processing, and (C) Medical device for biometrics. Besides, as a result of trend analysis based on technology convergence results, it is analyzed that Korea is likely to dominate the market with patents with high commercial value in the future as it is derived as a market leader in (B) medical data processing. In particular, the field is expected to require technology convergence activation policies and R&D support strategies for the technology as the possibility of medical data utilization by domestic bio-health companies expands, along with the policy conversion of the "Data 3 Act" passed by the National Assembly in January 2019.

Discovering the Knowledge Structure of Graphene Technology by Text Mining National R&D Projects and Newspapers (국가R&D과제와 신문에서 텍스트마이닝을 통한 그래핀 기술의 지식구조 탐색)

  • Lee, Ji-Yeon;Na, Hye-In;Lee, Byeong-Hee;Kim, Tae-Hyun
    • The Journal of the Korea Contents Association
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    • v.21 no.2
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    • pp.85-99
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    • 2021
  • Graphene, called the "dream material" is drawing attention as a groundbreaking new material that will lead the era of the 4th Industrial Revolution. Graphene has high strength, excellent electrical and thermal conductivity, excellent optical permeability, and excellent gas barrier properties. In this paper, as the South Korean government recently announced Green New Deal and Digital New Deal policy, we analyze graphene technology, which is also attracting attention for its application to Corona 19 biosensor, to understand its national R&D trend and knowledge structure, and to explore the possibility of its application. Firstly, 4,054 cases of national R&D project information for the last 10 years are collected from the National Science & Technology Information Service(NTIS) to analyze the trend of graphene-related R&D. Besides, projects classified as green technology are analyzed concerning the government's Green New Deal policy. Secondly, text mining analysis is conducted by collecting 500 recent graphene-related articles from e-newspapers. According to the analysis, the field with the largest number of projects was found to be high-efficiency secondary battery technology, and the proportion of total research funds was also the highest. It is expected that South Korea will lead the development of graphene technology in the future to become a world leader in diverse industries including electric vehicles, cellular phone batteries, next-generation semiconductors, 5G, and biosensors.

The space implementation of movie With gods and the meaning (영화 ≪신과 함께-죄와 벌≫속 공간의 구현양상과 그 의미)

  • Yi, Hyang-ae;Kim, Sinjeong
    • 기호학연구
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    • no.54
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    • pp.177-203
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    • 2018
  • On this study, we analyzed the movie With gods's narrative structure. This movie makes most people who has seen it feel deeply moved. We think that people can get deep feeling from a film at last after people who has seen the movie accept a context, story, and a message of the movie gladly. We focused on a special system in this movie With gods that can make give an ordinary message and big touch to people. Also we focused on every episodes of every space in a movie, and someone who moved freely between the spaces. A repetitive form and repetitive contents in a narrative become a special code itself -repetitiveness- for people and make them do auto-communication. Specifically, an information, the movie's repetitiveness, out of people become a special code for them, and then that make people bring memory and new information by themselves. Watching movie, people can look back up on life with every trial in the movie. In short, a repetitiveness and an auto-communication are a special system in the movie, that can make deeply touched.