• The Inventors News
• /
• no.48
• /
• pp.1-16
• /
• 2006

축사/발명 유비쿼터스 선도하는 언론 지향/'발명하는 사람들' 창간 4주년 맞다/'발명하는 사람들' 창간 4주년을 축하합니다/반도체 공정분야 특허 출원 급증/운동화에도 웰빙 바람/공기청정기 특허출원 꾸준한 증가/차세대 반도체 특허, 회로.응용 분야에 집중/맥주, 이제 병이 아닌 플라스틱 용기에/특허고객콜센터, 품질인증 획득/특허청,'찾아가는 특허검색서비스' 제공/직무발명보상 개정법 관련 세미나/'쟁점별 특허소송 가이드북'제작/특허청 연구회, 고객감동 경영의 밑거름/한국특허정보원,2006 한국서비스대상 공공부문 대상 수상/현대차, 특허침해 찾으면 로열티 10% 지급/나이키 짝퉁, 한해 3백60만 켤레 적발/특허청, 자동차부품연구원과 업무협약/휴대용 포토 프린터 특허 출원 증가/역사 속의 발명품/하루 10분 발명교실/특허Q&A/한국여성발명협회 13년 발자취/미니인터뷰/이공계 대학교수 대상 특허정보 세미나 개최/실용신안 등록출원, 우선심사 대상 확대/자료 수집을 소홀히 마라/특허청 간부진, 고객 현장 속으로/삼성, 중국 저명상표로/포스코, 특허시스템 가동/도미다의 원너 커트/월마트, 짝퉁 '펜디' 판매로 망신살/일본, '지적재산권 입국' 계획 마련/미국-유럽연합, 짝퉁 퇴치 나선다/특허청, 자체 브랜드 '특허로' 첫상표출원/인청 부평지식재산센터, 발명가 초청강연회 개최/'2006 피츠버그 국제전' 에서 국내 발명가 수상/세계 최고 4대 건강식품/특허법원, 책 제목 출판사 소유로/한국여성발명협회 회원사 발명품 가이드/'2006년 여대생 발명캠프'/

• Proceedings of the Korea Information Processing Society Conference
• /
• 2018.10a
• /
• pp.17-20
• /
• 2018

대중의 관심인 공공이슈를 파악하기 위하여 다양한 종류의 빅데이터를 분석하는 연구가 진행되고 있다. 그러나 기존의 연구에서는 키워드의 노출 횟수만 파악하여 결과로 반영한다. 본 논문은 포털 사이트로부터 얻은 언론사별 뉴스 빅데이터를 이용하여 키워드별 노출 빈도수, 댓글 수 및 추천 수를 반영한 분석 방법을 제안하였다. 공공이슈를 추출하여 얻어낸 키워드들을 워드클라우드, Sankey다이어그램과 같은 형태로 시각화하여 사용자에게 제공한다. 제안된 방법을 사용하면 대중의 반응을 반영한 분석 결과를 확인 할 수 있다.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2019.01a
• /
• pp.359-360
• /
• 2019

본 논문에서는 2018년에 성횡한 악성코드에 대한 피해 사례를 살펴본 후 이를 적극적으로 대응하기 위한 방안을 살펴본다. 특히 가상통화 거래소에 대한 해킹 사고 및 가상화폐에 대한 지속적인 해킹 시도가 탐지되면서 관련 소식들이 언론에 지속적으로 보도되었다. 또한 이와 관련하여 PC 및 서버 자원을 몰래 훔쳐 가상통화 채굴에 사용하는 크립토재킹 공격기법도 함께 주목받았다. 랜섬웨어 부문은 갠드크랩 관련 보도가 대부분을 차지할 정도로 국내에서 지속적으로 이슈가 되었다. 또한 미국 법무부에서 최초로 북한 해커조직의 일원을 재판에 넘기면서 해커 그룹에 대한 관심이 집중되기도 했다. 2018년 전반적으로 이러한 가상통화 거래소 해킹, 크립토재킹, 랜섬웨어, 해커 그룹의 4가지 키워드를 도출하였으며, 이 중 해커 그룹은 북한과 중국의 경우를 나누어 총 5가지 주제를 통해 악성코드에 대한 주요 이슈들을 살펴본다. 본 논문에서는 이러한 악성코드의 공격을 근본적으로 해결할 수 있는 방안으로 클라이언트 측에 USB형태의 BBS(Big Bad Stick) 하드웨어를 통하여 제안하는 환경을 제안하고 안전한 서비스가 제공됨을 증명하여 본 연구가 새로운 보안성을 갖춘 시스템임을 보인다.

• The KIPS Transactions:PartD
• /
• v.18D no.5
• /
• pp.357-370
• /
• 2011

The study aims to examine the service preference between the NEIS(National Education Information Systems) and alternatives, based on the benefits, costs and risks of NEIS service for parents, and finally propose the vitalizations plans for that public services. As a part of public services, NEIS has not only provided the educational information for the students, which enables school parents to suffice for information need, and but also leaded in the parents' participation for the various educational policies. However, major NEIS users such as teachers and parents recently began to blame for the various data errors and connection failures of NEIS. Despite of the research importance, most of NEIS studies severely depended on TAM and researches investigating the preference of school parents for NEIS services rarely exist. The study classifies NEIS parents services into benefits, costs, and risks based on ANP BCR model, identifies the preference for the services, compares the NEIS services and alternatives, and provides the results of sensitivity analyses. The analyses identify that NEIS was not frequently used by school parents and that the service preference of the school parents was not considered yet. Consequently, the study stresses the acceptance vitalizations plans for NEIS.

• Journal of the Korea Society of Computer and Information
• /
• v.18 no.12
• /
• pp.103-111
• /
• 2013

At present, a variety of Korean news stories have been about important online content and its importance in the press is becoming higher. Diverse news from businesses are provided to the public as press releases through newspapers or broadcasting media. For such news to become information for a press release, enterprises visit reporters, use e-mails, faxes, or couriers to deliver the information. However, such methods have problems with time, human resources, expenses, and file damage. Also, with these methods it is bothersome for enterprises to check what has been released and for the press to make frequent contact with enterprises for interviews and for content to be released. Therefore, this study aimed to realize a distribution system which enterprises can use to distribute data to be released to the press and to easily check what is to be released while the press can ask for interview requests in a simple way, as well as a news gathering robot that can collects news on the enterprises involved from articles online or in portal sites.

• Korean journal of communication and information
• /
• v.28
• /
• pp.171-218
• /
• 2005

There is a original routine on dealing the first edition newspaper in Korea. Korean national morning newspapers print about 0.5% of total circulation as the first edition and sale those only in Seoul where the newspapers is published. The dead line of first edition is even about 5 pm. According to this routine which couldn't be found in the advanced western nations, like UK, USA etc., there can be some original characteristics and problems on the contents of Korean national morning newspapers. The present study investigated what the characteristics and problems means on the quality of newspaper and the free flow of diverse informations and opinions. Content analysis comparing the first edition to the last edition of 8 national morning newspapers is used to reveal the original characteristics and problems. Major findings in the result of the content analysis are three. First, the quality of the newspapers is damaged by the early dead line. Second, Inter-media agenda setting, which minor papers follow major papers on not only contents but also tone & manner, is manifest. Third, the early time publishing of the first edition allow the reported group including government and business sorter to take time to do make some negotiations on the articles about them, in which procedure even about 40% of total observed articles are changed(eg. removed, replaced, modified).

• Journal of the Korea Society of Computer and Information
• /
• v.26 no.1
• /
• pp.231-238
• /
• 2021

In this paper, we suggest a method of analysis for daily food delivery & consumption trends through big data of the post-Covid-19 era. Through analysis of big data and the database system, four analyzed factors, excluding weather, was proved to have significant correlation with delivery sales for 'Baedarui Minjok' of a catering delivery application. The research found that KBS, MBC and SBS Media showed remarkable results in food delivery & consumption sales soaring up to about 60 percent increase on the day after the Covid-19 related new article was issued. In addition, it proved that mobile media and web surfing were the main factors in increasing sales of food delivery & consumption applications, suggesting that viral marketing and emotional analysis by crawling data from SNS used by Millennials might be an important factor in sales growth. It can contribute the companies in the economic recession era to survive by providing the method for analyzing the big data and increasing their sales.

• Journal of the Korea Society of Computer and Information
• /
• v.27 no.3
• /
• pp.53-61
• /
• 2022

Recent years have drawn a great attention to generation MZ and Metaverse, due to 4th industrial revolution and the development of digital environment that blurs the boundary between reality and virtual reality. Generation MZ approaches the information very differently from the existing generations and uses distinguished communication methods. In terms of learning, they have different motivations, types, skills and build relationships differently. Meanwhile, Metaverse is drawing a great attention as a teaching method that fits traits of gen MZ. Thus, the current research aimed to investigate how to increase the use of Metaverse in Educational Technology. Specifically, this research examined the antecedents of popularity of Gather Town, a platform of Metaverse. Big data of news articles have been collected and analyzed using the Bigkinds system provided by Korea Press Foundation. The analysis revealed, first, a rapid increasing trend of media exposure of Gather Town since July 2021. This suggests a greater utilization of Gather Town in the field of education after the COVID-19 pandemic. Second, Word Association Analysis and Word Cloud Analysis showed high weights on education related words such as 'remote', 'university', and 'freshman', while words like 'Metaverse', 'Metaverse platform', 'Covid19', and 'Avatar' were also emphasized. Third, Network Analysis extracted 'COVID19', 'Avatar', 'University student', 'career', 'YouTube' as keywords. The findings also suggest potential value of Gather Town as an educational tool under COVID19 pandemic. Therefore, this research will contribute to the application and utilization of Gather Town in the field of education.

• Journal of Intelligence and Information Systems
• /
• v.28 no.3
• /
• pp.161-183
• /
• 2022

Opinion polls have become a powerful means for election campaigns and one of the most important subjects in the media in that they predict the actual election results and influence people's voting behavior. However, the more active the polls, the more often they fail to properly reflect the voters' minds in measuring the effectiveness of election campaigns, such as repeatedly conducting polls on the likelihood of winning or support rather than verifying the pledges and policies of candidates. Even if the poor predictions of the election results of the polls have undermined the authority of the press, people cannot easily let go of their interest in polls because there is no clear alternative to answer the instinctive question of which candidate will ultimately win. In this regard, we attempt to retrospectively grasp public opinion on the 20th presidential election by applying the 'YouTube Analysis' function of Sometrend, which provides an environment for discovering insights through online big data. Through this study, it is confirmed that a result close to the actual public opinion (or opinion poll results) can be easily derived with simple YouTube data results, and a high-performance public opinion prediction model can be built.

• Journal of the Korean Applied Science and Technology
• /
• v.40 no.5
• /
• pp.1072-1080
• /
• 2023

The purpose of this study is to analyze major keywords and social phenomena related to 'plogging' in the sports field and to derive important information. In order to achieve this purpose, the news analysis system BIG Kinds provided by the Korea Press Promotion Foundation was used to analyze it. The analysis period is from 2018 to 2022, and 42 of the 5,148 news collected were finally used and analyzed. Frequency analysis, relationship map analysis, and related word analysis were performed as analysis methods, and the results are as follows. First, as a result of the frequency analysis related to 'Plogging' in the sports field, keywords such as 'Jeju', 'Players', 'World Marathon', 'SSG', and 'Lee Bong-ju' were identified. Second, as a result of the analysis of the relationship related to 'Plogging' in the sports field, keywords such as 'COVID-19', 'national representative', 'elite', 'masters', and 'COVID' were identified. Third, as a result of the analysis of words related to 'Plogging' in the sports field, keywords such as 'synthesized words', 'volunteer activities,' 'masters untact', 'Jeju', and 'athletes' were identified. In the domestic professional sports field, it has been shown that plogging is actively used for environmental activities and professional team promotion to practice carbon neutrality by international sports organizations.