• Title/Summary/Keyword: Daum

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A Design and Implementation of Real-Race LBS Smart Phone App. As an Event and Marketing Tool (이벤트 및 마케팅 도구로서 리얼레이스 LBS스마트폰 앱의 설계 및 구현)

  • Cho, Byung-Ho
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.4 no.4
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    • pp.272-277
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    • 2011
  • LBS(Location Based Service) is one of the most important killer App. in the Smart-phone Era. The Smart-phone provide basically location informations using GPS, Wi-Fi AP, 3G ID as a location determination technology to supply LBS. Also it can use maps such as Google map and Daum map with Open API. Therefore, Smart-phone is regarded as the best platform to develop location based applications. In my paper, a location based smart-phone App., that is, "Real-Race App." is designed and implemented for applying events and marketing.

A Study on the Evaluation of Fashion Design Based on Big Data Text Analysis -Focus on Semantic Network Analysis of Design Elements and Emotional Terms- (빅데이터 텍스트 분석을 기반으로 한 패션디자인 평가 연구 -디자인 속성과 감성 어휘의 의미연결망 분석을 중심으로-)

  • An, Hyosun;Park, Minjung
    • Journal of the Korean Society of Clothing and Textiles
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    • v.42 no.3
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    • pp.428-437
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    • 2018
  • This study derives evaluation terms by analyzing the semantic relationship between design elements and sentiment terms in regards to fashion design. As for research methods, a total of 38,225 texts from Daum and Naver Blogs from November 2015 to October 2016 were collected to analyze the parts, frequency, centrality and semantic networks of the terms. As a result, design elements were derived in the form of a noun while fashion image and user's emotional responses were derived in the form of adjectives. The study selected 15 noun terms and 52 adjective terms as evaluation terms for men's striped shirts. The results of semantic network analysis also showed that the main contents of the users of men's striped shirts were derived as characteristics of expression, daily wear, formation, and function. In addition, design elements such as pattern, color, coordination, style, and fit were classified with evaluation results such as wide, bright, trendy, casual, and slim.

An Effect on the Sexuality Elements and their Perceptibility through Sports Images of Portal Media - focusing upon photographs(images) in an Internet portal site, Daum - (포털미디어의 스포츠 영상을 통해 인지된 섹슈얼리티 요소와 섹슈얼리티 인지도에 미치는 영향 -다음사이트의 사진(이미지)영상을 중심으로-)

  • Park, Kwang-Soon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.7
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    • pp.1718-1724
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    • 2009
  • This paper is aimed at studying the sexuality elements and their perceptibility in the sports photographs and images of internet portal media. The sexuality elements are composed of athletes' uniform, body and external feature. In an analysis of sports' users through portal media, there were some differences in an experimental group of men. There was the difference between an experimental group of men and a of men and women sports game. The perceptibility of sexuality imaged by sports images of men and women games in portal media was higher in an of men and women sports game than the experimental group of men. Accordingly, the sexuality imaged through sports images of portal media had a higher effect on sports' men-users.

Site test of UHF partial discharge monitoring system (UHF 부분방전 상시감시시스템 실변전소 실증시험)

  • Goo, Sun-Geun;Park, Ki-Jun;Han, Ki-Seon;Yoon, Jin-Rul;Choi, Jae-Ok;Choi, Chel-Koang;Kim, Young-Noh;Hwang, Chul-Min;Son, Ji-Hjan;Go, Min-Soo
    • Proceedings of the KIEE Conference
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    • 2006.07e
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    • pp.29-30
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    • 2006
  • GIS 예방진단을 위해 개발한 "UHF 온라인 부분방전 상시감시시스템"을 실 변전소에 설치하여 실증시험을 수행하였다. 345 kV급 변전소의 GIS 2개 bay를 감시하기 위해, GIS에 설치된 총 14개의 UHF 센서로부터 측정된 방전신호를 변전소 switchyard에 설치된 local unit에서 수집하였다. Local unit에서 UHF 대역의 방전신호를 디지털 신호로 변환한 후, 광섬유를 통해 변전소 급전분소에 설치된 중앙서버에 전송토록 하였다. 중앙처리장치에서는 단위 방전신호의 분석 및 트랜드 분석이 가능하며, 사용자에게 자동으로 방전원인을 알려준다. 설치된 상시감시시스템은 우수한 외부 잡음제거능력을 보였으며, 측정된 방전신호를 요약하여 사용자에게 reporting하는 등 다양한 편의성을 제공하고 있다.

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Semantic Network Analysis about Comments on Internet Articles about Nurse Workplace Bullying (간호사 괴롭힘 관련 인터넷 포털 기사에 대한 댓글의 의미연결망 분석)

  • Kim, Chang Hee;Moon, Seong Mi
    • Journal of Korean Clinical Nursing Research
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    • v.25 no.3
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    • pp.209-220
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    • 2019
  • Purpose: A significant amount of public opinion about nurse bullying is expressed on the internet. The purpose of this study was to analyze the linkage structures among words extracted from comments on internet articles related to nurse workplace bullying using semantic network analysis. Methods: From February 2018 to April 2019, comments made on news articles posted to the Daum and Naver web portal containing keywords such as "nurse", "Taeum", and "bullying" were collected using a web crawler written in Python. A morphological analysis performed with Open Korean Text in KoNLPy generated 54 major nodes. The frequencies, eigenvector centralities, and betweenness centralities of the 54 nodes were calculated and semantic networks were visualized using the UCINET and NetDraw programs. Convergence of iterated correlations (CONCOR) analysis was performed to identify structural equivalence. Results: This paper presents results about March 2018 and January 2019 because these months had highest number of articles. Of the 54 major nodes, "nurse", "hospital", "patient", and "physician" were the most frequent and had the highest eigenvector and betweenness centralities. The CONCOR analysis identified work environment, nurse, gender, and military clusters. Conclusion: This study structurally explored public opinion about nurse bullying through semantic network analysis. It is suggested that various studies on nursing phenomena will be conducted using social network analysis.

An Analysis on Planners and Project Objectives of Kakao Storyfunding

  • Yoon, Haing Seok;Kim, Kyoung Soo
    • Journal of Integrative Natural Science
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    • v.11 no.4
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    • pp.212-225
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    • 2018
  • This study is based on the purpose of organizing and planning a fundraising for Daum Kakao's 'storyfunding' during the recent crowdfunding that uses mobile-based Internet platforms to raise funds. Analysis by project subjects shows that one planner is more efficient if the ability of one planner, such as 'publishing', is important. However, there were many group A types of contents that require variety of expertise such as 'campaign' and 'journalism' after funding is completed. As a result of analysis by planning purposes, there were the most funds available to produce contents. This is a sign that there are many projects that match the basic purpose of story funding. There are also many other purposes for the purpose of raising public opinion for the project or the establishment of monuments, or for the support of people, animals, or animal rights groups. And there is a private equity fund to sell or promote products. Such quantitative research and analysis will accurately determine the current situation of crowdfunding and will provide basic data such as efficient human composition and goals setting to achieve the goals of crowdfunding in the future.

A Visualization Method for the Ocean Forecast Data using WMS System (WMS 시스템을 이용한 해양예측모델 데이터의 가시화 기법)

  • Kwon, Taejung;Lee, Jaeryoung;Park, Jaepyo
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.18 no.6
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    • pp.11-19
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    • 2018
  • Recently, many companies offer various web-based map that is based on GIS(Geographic Information System) information. Google Map, Open street, Bing Map, Naver Map, Daum Map, Vwolrd Map, etc are the few examples of such system. In this paper, we propose a method to visualize ocean forecasting model data considering the flow diagram of tidal current, streamline expression algorithm, and user convenience by using vector field data information that is currently being served. It is confirmed that the proposed method of the flow diagram of tidal current, and stream line expression algorithm is faster than that of conventional ocean prediction model data by more than 2 times.

A Study on the Analysis of Museum Gamification Keywords Using Social Media Big Data

  • Jeon, Se-won;Choi, YounHee;Moon, Seok-Jae;Yoo, Kyung-Mi;Ryu, Gi-Hwan
    • International Journal of Internet, Broadcasting and Communication
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    • v.13 no.4
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    • pp.66-71
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    • 2021
  • The purpose of this paper is to identify keywords related to museums, gamification, and visitors, and provide basic data that the museum market can be expanded by using gamification. That used to collect data for blogs, news, cafes, intellectuals, academic information by Naver and Daum which is Web documents in Korea, and Google Web, news, Facebook, Baidu, YouTube, and Twitter for analysis. For the data analysis period, a total of one year of data was selected from April 16, 2020 to April 16, 2021, after Corona. For data collection and analysis, the frequency and matrix of keywords were extracted through Textom, a social matrix site, and the relationship and connection centrality between keywords were analysed and visualized using the Netdraw function in the UCINET6 program. In addition, We performed CONCOR analysis to derive clusters for similar keywords. As a result, a total of 25,761 cases that analysing the keywords of museum, gamification and visitors were derived. This shows that the museum, gamification, and spectators are related to each other. Furthermore, if a system using gamification is developed for museums, the museum market can be developed.

Comparative Analysis of Speech Recognition Open API Error Rate

  • Kim, Juyoung;Yun, Dai Yeol;Kwon, Oh Seok;Moon, Seok-Jae;Hwang, Chi-gon
    • International journal of advanced smart convergence
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    • v.10 no.2
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    • pp.79-85
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    • 2021
  • Speech recognition technology refers to a technology in which a computer interprets the speech language spoken by a person and converts the contents into text data. This technology has recently been combined with artificial intelligence and has been used in various fields such as smartphones, set-top boxes, and smart TVs. Examples include Google Assistant, Google Home, Samsung's Bixby, Apple's Siri and SK's NUGU. Google and Daum Kakao offer free open APIs for speech recognition technologies. This paper selects three APIs that are free to use by ordinary users, and compares each recognition rate according to the three types. First, the recognition rate of "numbers" and secondly, the recognition rate of "Ga Na Da Hangul" are conducted, and finally, the experiment is conducted with the complete sentence that the author uses the most. All experiments use real voice as input through a computer microphone. Through the three experiments and results, we hope that the general public will be able to identify differences in recognition rates according to the applications currently available, helping to select APIs suitable for specific application purposes.

A Study on the Promotion of Yakseon Food Using Big Data

  • LEE, JINHO;KIM, AE SOOK;Hwang, Chi-Gon;Ryu, Gi Hwan
    • International Journal of Internet, Broadcasting and Communication
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    • v.14 no.4
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    • pp.41-46
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    • 2022
  • The purpose of this study is to confirm and analyze the impact on consumers through big data keyword analysis on weak food. For data collection, web documents, blogs, news, cafes, intellectuals, academic information, and Google Web, news, and Facebook provided by Naver and Daum were used as analysis targets. The data analysis period was set from January 2018 to December 2021. For data collection and analysis, the frequency and matrix of keywords were extracted through Textom, a social matrix site, and the relationship and connection centrality between keywords were analyzed and visualized using the Netdraw function among UCINET6 programs. In addition, CONCOR analysis was conducted to derive clusters for similar keywords. As a result of analyzing yakseon food with keywords, a total of 35,985 cases of collected data were derived. Through this, it was confirmed that medicinal food affects consumers. Furthermore, if a business model is created and developed through yakseon food, it will be possible to lead the popularization of yakseon food.