• Journal of the Korean Society of Systems Engineering
• /
• v.9 no.1
• /
• pp.33-45
• /
• 2013

Systems Engineering Approach was applied to the development of operator-support core management system based on the on-site operation experience and document of core management procedures, which is for enhancing operability and safety in PHWR (Pressurized Heavy Water Reactor) operation. The dissertation and definition of the system were given on th basis of investigating and analyzing the core management procedures. Fuel management, detector calibration, safety management, core power distribution monitoring, and integrated data management were defined as main user's requirements. From the requirements, 11 upper functional requirements were extracted by considering the on-site operation experience and investigating documents of core management procedures. Detailed requirements of the system which were produced by analyzing the upper functional requirements were identified by interviewing members who have responsibility of the core management procedures, which were written in SRS (Software Requirement Specification) document by using IEEE 830 template. The system was designed on the basis of the SRS and analysis in terms of nuclear engineering, and then tested by simulation using on-site data as a example. A model of core power monitoring related to the core management was suggested and a standard process for the core management was also suggested. And extraction, analysis, and documentation of the requirements were suggested as a case in terms of systems engineering.

• The Journal of the Korea Contents Association
• /
• v.20 no.2
• /
• pp.561-571
• /
• 2020

Location information service using big data is continuously developing. In terms of navigation, the range of services from map API service to ship navigation information has been expanded, and system application information has been extended to SNS and blog search records for each location. Recently, it is being used as a new industry such as location-based search and advertisement, driverless cars, Internet of Things (IoT) and online to offline (O2O) services. In this study, we propose an information system that enables users to receive information about nearby stores more effectively by using big data when a user moves a specific route. In addition, we have designed this system so that local stores can use this system to effectively promote it at low cost. In particular, we analyzed web-based information in real time to improve the accuracy of information provided to users by complementing the data. Through this system, system users will be able to utilize the information more effectively. Also, from a system perspective, it can be used to create new services by integrating with various web services.

• Journal of Internet Computing and Services
• /
• v.18 no.6
• /
• pp.55-63
• /
• 2017

One of the purposes of Information Technology (IT) is to support human response to natural and social problems such as natural disasters and spread of disease, and to improve the quality of human life. Recent climate change has happened worldwide, natural disasters threaten the quality of life, and human safety is no longer guaranteed. IT must be able to support tasks related to disaster response, and more importantly, it should be used to predict and minimize future damage. In South Korea, the data related to the damage is checked out by each local government and then federal government aggregates it. This data is included in disaster reports that the federal government discloses by disaster case, but it is difficult to obtain raw data of the damage even for research purposes. In order to obtain data, information extraction may be applied to disaster reports. In the field of information extraction, most of the extraction targets are web documents, commercial reports, SNS text, and so on. There is little research on information extraction for government disaster reports. They are mostly text, but the structure of each sentence is very different from that of news articles and commercial reports. The features of the government disaster report should be carefully considered. In this paper, information extraction method for South Korea government reports in the word format is presented. This method is based on patterns and dictionaries and provides some additional ideas for tokenizing the damage representation of the text. The experiment result is F1 score of 80.2 on the test set. This is close to cutting-edge information extraction performance before applying the recent deep learning algorithms.

• Proceedings of the Korea Society for Industrial Systems Conference
• /
• 2008.10b
• /
• pp.218-234
• /
• 2008

중국은 2008년 현재 메신저 이용자 수와 블로그 등의 웹 2.0 이용자 수에 있어서 세계 1위이다. 그리고 중국의 2007년 850억 달러의 인터넷 디지털 시장은 2015년에 2640억 달러로 성장할 전망이다. 이와 같이 인터넷 시장의 규모와 성장 가능성으로 인해 중국 인터넷 비즈니스의 중요성이 높아지고 있다. 이러한 필요성에 따라서 본 연구에서는 중국의 인터넷 동향 중에서 가장 큰 주목을 끌고 있는 웹 2.0 기반의 사회 연결망 서비스 분야에서 다음 세 가지의 연구 질문을 설정하고 그 답을 찾아보았다. 첫째, 중국 사회 연결망 서비스의 주요 특징은 무엇인가? 이러한 질문에 답하기 위해 본 연구에서는 문헌연구를 바탕으로 중국의 대표적인 사회 연결망 서비스 업체로 Tencent QQ와 Sina Poco를 살펴보았고, 중국 사회 연결망 서비스 이용자의 가입 이유, 갱신 이유, 주요 내용, 유상 서비스에 대한 태도 등을 살펴보았으며, 중국 인터넷 사용자의 집단별 특징에 대해 살펴보았다. 둘째, 중국 사회 연결망 서비스의 이용에 영향을 미치는 주요 요인들은 무엇인가? 이러한 질문에 답하기 위해 동기부여이론, TAM 이론. 관련 선행연구 등을 검토하여 중국 사회 연결망 서비스의 이용에 영향을 미치는 요인들로서 사용자 참여, 사회적 영향, 네트워크 효과, 유용성, 시스템 품질 등을 도출하였고 PLS를 이용한 데이터 분석을 통해 검증하였다. 검증결과, 사회 연결망 서비스 이용에 유용성이 가장 큰 영향을 미치고, 다음으로 네트워크 효과, 사용자 참여, 시스템 품질 순으로 유의한 영향을 미치는 것으로 나타났다. 반면, 사회적 영향은 유의하지 않은 것으로 나타났다. 셋째, 중국과 한국은 어떠한 점에서 차이가 있는가? 가장 두드러진 차이는 사회적 영향에 있어서 한국은 유의 적인데 비해 중국이 유의적이지 않다는 점이다. 이는 한국과 중국 사이에 국가 문화적 차이가 존재하기 때문에 발생했다고 생각할 수도 있고, 중국이 인터넷 성장기에 있는데 비해 한국은 인터넷 성숙기에 있는 등의 기술적, 사회적, 경제적 발달 과정상의 차이에 의한 것이라고도 볼 수 있다.

• Journal of Korean Society of Archives and Records Management
• /
• v.18 no.3
• /
• pp.165-191
• /
• 2018

The National Archives of Korea and other archives now provide services through social media such as Facebook or Twitter, and use such platforms to interact with users. To be specific, users communicate with and get information from these archives via the National Sinmoongo, the place for civil petition. Therefore, it is significant to understand the users' needs and the contents of the communication by analyzing the comments and petitions that have appeared in these channels. For this, this study analyzed users' perceptions and information needs shared through social media and the National Sinmoongo of the National Archives of Korea. The social media content analyzed here were posts and comments from the Facebook accounts of the National Archives of Korea, e-Record, the Busan Archives, and the Presidential Archives of Korea. Also, sentences containing the words "National Archives of Korea" and "Presidential Archives of Korea" that have appeared in texts in the National Sinmoongo were analyzed. Based on the analysis results, suggestions that could activate the user-centered archival information services in the archives and records centers were made.

• Journal of Fashion Business
• /
• v.17 no.4
• /
• pp.149-163
• /
• 2013

This study investigated the effects of smart phone usage motives and fashion brand app factors upon the intention to accept fashion brand applications. Data were collected from 250 female college students living in Seoul and Gyeonggi-do. 220 reliable data were analyzed by frequency, factor analysis, Cronbach's alpha, ANOVA,, Duncan test, paired t-test, chi-square analysis, regression. The results were as follows: Firstly, the 'information acquisition' and the'use of time' were considered to be the most important motive factors driving consumer's smart phone usage. Secondly, the motives underpinning smart phone user's intention to accept a fashion brand application were 'social relationships', 'entertainment', and 'information acquisition'. Thirdly, the frequently used factors during the usage of fashion brand application could be classified in order of frequency as follows: 'product information provision', 'store information provision', 'coordinated information provision', 'fashion information provision', 'entertainment provision', 'hobbies and life information provision', virtual wearing provision', 'SNS provision', and, 'events and coupons provision'. Fourthly, a factor analysis of these nine factors were classified into 'basic information type', and 'additional information type'. The influences of basic information type and the additional information type upon the intention to accept the fashion brand application showed the following significant result: The basic information type had a greater influence upon the intention to accept the fashion brand app.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.16 no.5
• /
• pp.960-966
• /
• 2012

It is prevalent to gather the location information from GPS, WiFi and etc, and therefore LBSNS (Location-Based SNS) has increased rapidly (such as location-augmented Twitter services). The message created from LBSNS include the specific area of interests which the message is created in or mentions. It is easy to propagate the location-based information of LBSNS by adapting the retweet function which is efficient way to propagate the message in tweeter. In this paper, we have defined the smart retweet as a automatic retweet function for efficient propagating the messages which is geo-tagging the location of interests. We have designed the smart retweet system based on the tweeter system. The user could specify the area of interests and build the social networking among the users which have interested in common area. The smart retweet system have been implemented by mesh-up services based on Open-API of trweeter and google map. It is expected that the smart retweet service proposed in this paper makes easy sharing of the location-based interesting information.

• Broadcasting and Media Magazine
• /
• v.18 no.1
• /
• pp.89-104
• /
• 2013

다양한 스마트기기 간 및 앱(Application) 간 연동을 통한 스마트미디어 생태계 환경에서 애플(Apple), 구글(Google), 마이크로소프트(Microsoft) 등 SW(Software) 기반 OS(Operating System) 플랫폼들은 개별 체제 강화를 더욱 견고히 하고 있다. 생태계 내 타(他) 구성원들은 이들에 의한 제약이 더욱 심해지자, 웹 문서의 표준화(HTML5)나 클라우드 컴퓨팅(Cloud computing) 같은 개방화된 기술들을 환영한다. 실제로 최근 웹 애플리케이션(Web application) 개발과 개발자들의 OS 플랫폼 이탈은 이러한 변화의 단면을 보여주기 시작했다. 본 고는 SW 중심에서 서비스 중심으로 이동 중인 플랫폼 경쟁 환경에서 네트워크를 보유 중인 방송통신사업자들의 새로운 스마트미디어 전략 방향을 제시하는데 그 목적을 둔다. 이를 위해 두 가지 기술적 배경인 HTML5와 클라우드 컴퓨팅 기술들을 살펴본 후, 그 동안 SW 중심 플랫폼 경쟁 환경에서 주도권을 빼앗겼다고 깨달은 방송통신사업자가 취해야 할, 두 가지 새로운 기술적 환경에서의 스마트미디어 전략을 제시하였다. 분석 결과, HTML5가 모바일 분야의 핵심 기술이 될 전망이지만, 단기적으로는 여전히 미성숙 문제가 제기될 것으로 보이며, 기존 경쟁력을 유지하려는 OS 사업자들의 가치사슬 통합 전략이 가시화되고 있는 환경이 목격된다. 또한, 클라우드 서비스 제공도 이미 이들 OS사업자들의 기존 생태계 유지를 위한 핵심 툴로 이미 활용되기 시작했다. 그럼에도 불구하고 HTML5와 클라우드 컴퓨팅은 방송통신사업자들에게 생태계 주도권을 탈환할 수 있는 중요한 기술로 인식되고 있다. 따라서 본 연구에서는 이를 기반으로 세 가지 이용자 경험인 '경계 없는', '동질적인', '끊김 없는' 이용자 경험(User Experience) 제공을 위해 노력하는 선도적인 사례 탐색이 시도되었으며, 이를 통해 방송통신사업자들의 미래 스마트미디어 전략 방향이 도출되었다. '경계 없는' 서비스에서는 구글, 애플 외의 멀티OS 전략과 기존 OS의 앱 서비스 대항마인 아마존(Amazon), 페이스북(Facebook) 등과의 적극적 서비스 제휴, '동질적인' 서비스에서는 클라우드 기반 주요 콘텐츠 플랫폼 제휴와 방송통신 가입자 기반의 All-IP기반으로의 확대, 마지막으로 '끊김 없는' 서비스에서는 SNS, LBS, 가상현실 등과의 매쉬업(Mash-up)과 의료, 금융 등과의 융합서비스 개발을 통한 스마트홈 전략 추진, 인증 및 결제시스템의 개방화 등이 제시되었다.

• Journal of the Korea Convergence Society
• /
• v.9 no.12
• /
• pp.39-45
• /
• 2018

Twitter users use 'Following', 'Retweet' and so on to find tweets that they are interested in. However, it is difficult for users to find tweets that are of interest to them on Twitter, which has more than 300 million users. In this paper, we developed a customized tweet recommendation system to resolve it. First, we gather current trends to collect tweets that are worth recommending to users and popular tweets that talk about trends. Later, to analyze users and recommend customized tweets, the users' tweets and the collected tweets are categorized. Finally, using Web service, we recommend tweets that match with user categorization and users whose interests match. Consequentially, we recommended 67.2% of proper tweet.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.19 no.11
• /
• pp.730-737
• /
• 2018

With the increasing number of health consumers aiming for a happy quality of life, the O2O medical marketing market is activated by choosing reliable health care facilities and receiving high quality medical services based on the medical information distributed on web's blog. Because unstructured text data used on the Internet, mobile, and social networks directly or indirectly reflects authors' interests, preferences, and expectations in addition to their expertise, it is difficult to guarantee credibility of medical information. In this study, we propose a blog reading system that provides users with a higher quality medical information service by classifying medical information blogs (medical blog, ad blog) using bigdata and MLP processing. We collect and analyze many domestic medical information blogs on the Internet based on the proposed big data and machine learning technology, and develop a personalized health information recommendation system for each disease. It is expected that the user will be able to maintain his / her health condition by continuously checking his / her health problems and taking the most appropriate measures.