• Korean Journal of Social Welfare
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• v.65 no.1
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• pp.271-298
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• 2013

The current research intends to show the practice of the narrative-biographical interviews analysis developed by Rosenthal. As an example of this, the research analysed an interview with a Korean migrant worker in Germany in 4 stages as follows: 1. analysis of biographical data, 2. text and thematic field analysis, 3. reconstruction of life as lived and sequential fine analysis, 4. contrasting the life-story as narrated with life as lived. Based on the research, some implications for the biographical research in the social welfare and for the social work practice were addressed.

• The Journal of Bigdata
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• v.1 no.1
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• pp.1-7
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• 2016

Social media such as twitter has been popular by the diffusion of internet, and thanks to the radical improvement of computational ability of computers big data analysis became possible. This research is regarding about smart watch which is receiving attention as post-smartphone technology. Among various types of smart watch, this research focuses on the recently released Samsung Galaxy Gear S2. The main purpose of the research is to analyze customer's actual twitter data that was produced before and after the release of the smart watch to the market. Through the analysis, this research provides practical marketing strategy guideline, and also the analysis framework used in this research can be a research framework for other area and product researches.

• Annual Conference of KIPS
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• 2012.04a
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• pp.1151-1154
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• 2012

Visual Language란 텍스트로 이루어진 문장이나 스프레드시트와 같은 도표형식의 정보전달과는 달리 전달하고자하는 사항을 가시화하여 그래프나 이미지 등으로 한 눈에 알아볼 수 있도록 하는 시각언어를 말한다. 본 논문에서는 전달방법에 따른 의사소통의 효과를 측정하는 연구모형을 제시하여 Visual Language와 Non-Visual Language를 통한 의사소통의 차이점을 비교 분석하였다. 연구결과 Visual Language를 통한 의사소통은 Non-Visual Language를 사용하는 것 보다 신속성 과 정확성 면에서 의사전달에 효과적이라는 사실을 알아낼 수 있었으며 Visual Language를 통한 의사소통은 프로젝트에 긍정적인 영향을 미친다는 사실을 밝혀내었다. 본 연구의 성과로는 프로젝트 관리 시 발생하는 각종 상황을 이해관계자에게 전달하는 수단으로 가시화된 언어를 사용하여 전달하고자 하는 바를 빠르고 정확하게 숙지시켜 원활한 소통을 지양하고 이로 인하여 프로젝트 성공률을 높이는 방안에 기여하는데 있다.

• SUVANNABHUMI
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• v.3 no.1
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• pp.87-104
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• 2011

붓다고사(Buddhaghosa)는 불교승려이자 작가로써 상좌부불교에서 가장 뛰어난 승려로 유명하다. 그는 청결을 의미하는 Visudhimagga의 작가로서도 유명한데, 이 작품들은 정전(正典)문학의 백과사전이라 불리고 있으며, 담마의 다양한 보물 컬렉션이라 할 수 있다. 붓다고사는 Visuddhi의 순결함에 도달하기 위해 magga 형식을 설명하고 있고, 불교교리 전체를 조직적으로 설명하고 있다. 붓다고사는 스리랑카어로 쓰여진 atthakathā를 Magadyhi(빨리어)로 변역했다. 이러한 업적으로 그는 명예를 얻었고, 이 작품은 상좌부불교(Theravāda)를 연구하는 학자들 사이에서 신성한 텍스트로 여겨졌다. 최초의 붓다고사에 관한 전기문은 6세기에 쓰여진 Mahavamsa에 나타난다. 마하밤사에 따르면, 그는 큰 보리수가 있는 인도 마가다국에서 브라만으로 태어났다고 전해진다. 그러나 Buddhaghosa의 atthakathā를 연구한 Kosanbi박사는 붓다고사는 북인도로부터 온 인물은 아니라고 보았으며, 붓다고사가 미얀마 사람일지도 모른다고 추정했다. 그 이유는 다수의 atthakathā가 미얀마에서 발견되었기 때문이다. 미얀마뿐만 아니라, 태국 그리고 캄보디아 역시 붓다고사가 자국인이라고 주장하고 있다. 5세기부터 더 나아가 11세기 중반까지 하(下) 미얀마의 고대 쀼왕국에서 불교가 매우 번성했다는 지속적인 기록이 있다. 이는 5세기에 붓다고사 전설과 함께 불교를 활성화시켰으며, 상좌부불교와 관련된 조각품들과 비문을 연구하는데 반영되었다. 붓다고사의 자타카 해설은 붓다의 역사적 탄생을 다루고 있으며, 미얀마의 모든 청소년에게 오랫동안 교육자료로 활용되어 왔다. 또한 자타카 해설은 비석에서 중요한 부분을 차지하고 있으며, 테라코타 부조나 11세기와 12세기의 버간사원의 벽화에서도 사용된다. 이처럼 미얀마에서 비석과 테라코타 부조, 그리고 수많은 벽화들이 발견되는 것을 통해 붓다고사가 미얀마 출신이었다는 것을 확인할 수 있다.

• The Journal of the Korea Contents Association
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• v.16 no.8
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• pp.508-516
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• 2016

With the rapid development of Social Network Service and with the diversification of user needs, new types of image-based SNS have emerged. Image-based SNS provides customized service to meet users' specified contents needs that have yet to be satisfied in conventional relation-based SNS like Facebook, leading the trend of service diversification. Unlike text-based SNS that has inconvenient view on a small mobile screen, image-based SNS provides the communication way focused on simple text message and image, and thus the main users of the image-based SNS are young people in their 20s who get accustomed to images, rather than text messages. Accordingly, the functions and roles of SNS UI have varied, and usability has been more important. With the users in their 20s who use image-based SNS, this study tried to look into the usability of the image-based SNS. To do that, heuristic evaluation method was applied to find UI problems. The main factors constituting usability were extracted, and user evaluation method was redesigned. Aside from the satisfaction measurement, this study conducted and analyzed a questionnaire survey with users in their 20s who used actual image-based SNS. This study analyzed usability factors that influenced of image-based SNS users. The analysis results are considered to be used as a fundamental material to improve usability in the process of developing social media service.

• Journal of Korean Library and Information Science Society
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• v.50 no.4
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• pp.77-100
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• 2019

This study aims to analyze and compare centrality and brokerage measures of journal citation network focusing on textmining research. The analytic sample was 193 academic articles collected from 136 KCI journals published in 2018. The journal citation network was constructed based on citation relations. The characteristics, centralities, and brokerages of network was analyzed. The journal citation network consisted 136 nodes and 413 links with directed and weight. According to the five types of centrality(out-degree, in-degree, out-closeness, in-closeness, betweenness), journals of social sciences, engineering, and interdisciplinary research showed higher centrality. Social sciences, engineering and interdisciplinary research journals also showed higher brokerages as a result of brokerage analysis which identify five types of brokerage roles(coordinator, gatekeeper, representative, consultant, liaison). The centralities and brokerages of journals are positively correlated. This study suggested how to construct journal citation network from the articles focusing on certain topics. This was meaningful study in terms of conducting brokerage analysis and comparing it with centrality in the journal citation network.

• Informatization Policy
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• v.27 no.2
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• pp.66-83
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• 2020

Local issues that occur in cities typically garner great attention from the public. While local governments strive to resolve these issues, it is often difficult to effectively eliminate them all, which leads to complaints. In tackling these issues, it is imperative for local governments to use big data to identify the nature of complaints, and proactively provide solutions. This study applies the LDA topic modeling technique to research and analyze trends and patterns in complaints filed online. To this end, 9,625 cases of online complaints submitted to the city of Busan from 2015 to 2017 were analyzed, and 20 topics were identified. From these topics, key topics were singled out, and through analysis of quarterly weighting trends, four "hot" topics(Bus stops, Taxi drivers, Praises, and Administrative handling) and four "cold" topics(CCTV installation, Bus routes, Park facilities including parking, and Festivities issues) were highlighted. The study conducted big data analysis for the identification of trends and patterns in civil affairs and makes an academic impact by encouraging follow-up research. Moreover, the text mining technique used for complaint analysis can be used for other projects requiring big data processing.

• The Journal of the Korea Contents Association
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• v.14 no.11
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• pp.79-88
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• 2014

Vampilov, who is not well known as a playwright in domestic, is acknowledged comparable to Anton Chekhov in Russia. This paper was planed in order to promote a unsatisfied study until now in domestic for works by Vampilov and studied a part of composing play to put on the stage for , a drama written by Vampilov. This paper, originated from a viewpoint that actor have to complete the final text of the play for audiences to read depending on the drama and based on work features and characters of Vampilov, established an analysis scheme according to segments of unit actions for actions of Sarafanov, the character of the play, in order to achieve a purpose under suggested situation at the drama and focused on completing purposes per units individually. We have analyzed Sarafanov and his actions referring patterns and probabilities of the characters in the other works by Vampiov and regarded it as the important item together with logical basis of actions. Lyric and humanism emphasizing works by Vampilov, affected by Anton Chekhov and Nikolai Vasilevich Gogol, are acknowledged as realistic descriptions using contingency and a play within a play outstandingly and emphasized an importance of human relation. We have selected as a primary way to compose action text that audiences would read on the stage and used it as the method to design action of the characters in order to activate natural good of Sarafanov and general absurdities that human, does creative works, never give up purposes of ideal life.

• Journal of Food Hygiene and Safety
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• v.23 no.1
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• pp.51-61
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• 2008

This study was performed to improve of Health Functional Food(HFF) through investigating the label system. The logo on HFF to increase the reliance, understanding and quality warranty for consumers was developed through competition. In order to investigate the consumer's awareness about HFF label system a nationwide survey was conducted in metropolitan areas (6 cities) and middle-sizes cities (6 cities). The subjects was 2000(male 519, female 1481) adults aged 20 over, and information was collected by in-person interviews. The major results were as follows. 63.0% of consumer responded they need certification mark for HFF and trust function information of text/graphic format than text format. 85.3% of consumers chose the long claim including the mechanism because 38% reported that they could confide the information, 36% reported it is easy to understand and 26% reported that they thought it is more effective than short claim. As 58.8% of the total consumers answered that the manufacturers marked the nutrition function claim without the permit of the KFDA, a reliable certification mark developed by this research is expected to contribute in improving the label system of HFF, rising reliability and perception of consumer.

• Journal of Internet Computing and Services
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• v.21 no.1
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• pp.127-135
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• 2020

As the importance of the use and analysis of big data is emerging, there is a growing interest in natural language processing techniques for unstructured data such as news articles and comments. Particularly, as the collection of big data becomes possible, data mining techniques capable of pre-processing and analyzing data are emerging. In this case study with a telecom company, we propose a methodology how to formalize unstructured data using text mining. The domain is determined as equipment failure and the data is about 2.2 million equipment check ledger data. Data on equipment failures by 800,000 per year is accumulated in the equipment check ledger. The equipment check ledger coexist with both formal and unstructured data. Although formal data can be easily used for analysis, unstructured data is difficult to be used immediately for analysis. However, in unstructured data, there is a high possibility that important information. Because it can be contained that is not written in a formal. Therefore, in this study, we study to develop digital transformation method for unstructured data in equipment check ledger.