• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2013년도 제48차 하계학술발표논문집 21권2호
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• pp.255-257
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• 2013

최근 OS와 개발 정보에 대한 일반 사용자들의 접근성이 좋아지면서 오픈소스(Open Source)와 관련 툴들이 각광 받고 있다. 이러한 툴 중 많은 사람들이 사용하고 있는 블로그 개발 툴의 하나인 워드프레스(WordPress)는 다양한 프로그래밍 언어와 플랫폼(platform), 브라우저(browser)에 구애 받지 않고 강력한 기능을 제공함으로써 web과 관련하여 이용 빈도가 늘어나고 있다. 따라서 본 연구에서는 오픈 소스 툴 중 하나인 워드프레스의 기능성을 중점적으로 서술하고 일반 사용자가 워드프레스를 사용할 때 가장 큰 어려움이 무엇인지 짚어보고 문제에 대한 해결책을 제시한다.

• 건축사
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• 통권498호
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• pp.10-11
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• 2010

• 한국식품조리과학회지
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• 제22권2호
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• pp.213-221
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• 2006

Although motivation and information search have both been studied continuously and separately as important marketing strategies, the relation between cause and effect has received little research attention. Therefore the objective of this study was to research the causal relationships between motivation and information search method. Frequency analysis and reliability analysis, factor analysis, and SEM(Structure Equation Model) were adopted to analyze the data. Motivation was divided into 5 factors which significantly influenced information search method. Factor 1, 'Reception and congratulation', influenced information search positively through 'newspaper, magazine', and 'word of mouth' but negatively through 'TV-advertising' and 'Flyer, Press copy'. Factor 2, 'Change of dietary life', influenced positively 'TV-advertising'. Factor 3, 'Economic saving', influenced positively 'newspaper, magazine', and 'the e-mail's advertising' Factor 4, 'Preference motivation', influenced negatively 'word of mouth' Factor 5, 'Advertisement and companion's need', influenced positively 'newspaper, magazine', and 'the e-mail's advertising' but negatively 'TV-advertising' As a result, customers appeared to choose various information search methods according to their eating-out motivation. 'The e-mail's advertising', and 'word of mouth' are popular among customers' information search methods. Therefore, food-service corporations need to try eliminating negative images of various advertisements and activate positive word of mouth marketing, promotion through internet.

• 한국컴퓨터정보학회논문지
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• 제27권4호
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• pp.37-43
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• 2022

본 논문에서는 2019년 12월부터 2020년 7월까지 약 8개월간 유통되었던 코로나19와 관련된 뉴스데이터를 이용하여 일자 및 지역별로 단어에 대한 빈도를 구하고, 결과를 활용하여 코로나19 환자에 대한 현황 데이터와의 상관관계를 시각화하였다. 뉴스데이터는 한국언론진흥재단에서 운영하고 있는 뉴스 빅데이터 시스템 '빅카인즈'에서 수집된 데이터를 활용하였다. 본 논문에서 제안하는 시각화 시스템은 지역과 기간을 선택하면 분석한 결과를 이용하여 전체 지역 대비 선택한 지역의 뉴스 빈도수, 선택한 지역의 주요 키워드, 주요 키워드의 지역별, 일자별 변화 등을 보여 주고 있다. 이러한 시각화를 통하여 이전에 발생하였던 사건에 대해 주요 키워드와 코로나19 확진자 및 감염자 추이를 확인할 수 있다.

• 한국콘텐츠학회논문지
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• 제16권3호
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• pp.269-287
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• 2016

이 연구는 유병언 사망 사건과 관련된 언론 보도를 네트워크 분석하고, 이 사건이 소셜네트워크사이트를 통해 어떻게 확산되는지 이슈의 확산 과정을 네트워크 분석했다. 지상파 언론과 종편을 분석 대상으로 언론보도의 이슈 현저성, 단어의 가시성과 연결성을 분석했다. 네트워크 분석 결과 종편은 사건과 관련된 핵심 정보보다는 유병언 유류품, 브랜드, 시신에 대한 루머를 강조했고, 지상파 방송은 국과수의 DNA 검사 결과를 중심으로 보도했다. 시기별로 보면 1기 지상파는 '유병언 시신 발견 프레임'을, 종편은 '수사 비난 프레임', '명품 강조 프레임'으로 사건을 틀지었다. 2기 지상파는 '유병언 사인 분석 프레임'을, 종편은 '의혹 제기 프레임'을 강조했다. 3기 지상파는 몇 건 밖에 보도하지 않아 분석의 의미가 없고 종편은 '주변 정보 강조 프레임'이 부각되었다. 언론의 보도는 유투브와 SNS를 통해 확산되었는데, 네트워크 분석 결과 유병언 사망과 관련된 루머가 주목을 받은 것으로 나타났다. 인터넷과 SNS의 발달로 독자들이 적극적으로 의견을 표출하면서 루머를 확산시킨 것으로 생각된다. 음모론의 확산 과정에서 주류 언론은 종편의 선정적이고 자극적인 보도에 밀려 영향을 발휘하지 못했음이 밝혀졌다.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2014년도 제50차 하계학술대회논문집 22권2호
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• pp.209-212
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• 2014

본 논문에서는 PHP와 MySQl의 언어를 기반으로 한 오픈 소스 기반의 콘텐츠 관리시스템인 워드프레스(Wordpress)를 설치하고 이를 기반으로 쇼핑몰을 구축 한다. 워드프레스는 각종 테마를 통해 자신이 원하는 디자인으로 홈페이지를 꾸밀 수 있고 수많은 플러그인으로 사용자가 원하는 기능을 추가할 수 있는데, 이 논문에서는 우커머스(Woocommerce)라는 플러그인 설치하여 상품의 주문 내역을 확인 할 수 있고 쿠폰을 등록할 수 있고 '보고서'라는 기능을 통해 이들에 대한 내용을 관리 분석할 수 있으며, 상품을 추가, 삭제, 수정 할 수 있으며 재고관리도 가능한 쇼핑몰을 구축한다.

• 음성과학
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• 제12권2호
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• pp.17-28
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• 2005

This paper argues that news speech entails a distinct intonational pattern from natural speech, effectively reflecting that it primarily focuses on providing new information. We conducted a phonetic experiment to compare the tonal contours between news speech and natural speech, examining the distributions of pitch accents and the overall pitch ranges. We utilized 70 American Press (AP) radio news utterances and 70 natural utterances extracted from TV dramas. Results show that news speech involves 3.38 H*'s (including L+H* and !H*) within an intonational phrase (IP) or intermediate phrase (ip) whereas natural speech, 1.8 in average. The number of IP/ip's per sentence is 3 in news speech, which is shown in the highest rate of 32.07% of the news speech, but it is merely 1, taking up the highest 41.42% in natural speech. Next, declination tends to be prevented in news speech, and the pitch range is much greater in news speech than in natural speech. Finally, a secondary stress syllable is comparatively frequently given a pitch accent in news speech, explicitly distinct from natural speech. These results can be interpreted as stating that news has the particular purpose of providing new information; every content word tends to be given a H* or its related pitch accent like L+H* or !H* because news speech assumes that every word conveys new information. This definitely brings about more IP/ip's per sentence due to a human physiological constraint; that is, more H*'s will cause more respiratory breaks. Also, greater pitch ranges and pitch accents imposed on secondary stress may be attributed to exaggerating new information.

• 한국의상디자인학회지
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• 제9권3호
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• pp.59-73
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• 2007

The purpose of this study is to find out the promotion methods for successful management of 'the fashion saho internet shopping mall' with a small capital. This study analyze the research reports, the news items, the documents on the internet shopping mall and data on promotion method which are offered by the hosting companies of the internet shopping mall like 'Cafe 24', 'Make shop', 'Whoismall' and the promotion consulting companies like 'Whoisad', 'Naver keyword shop'. And also analyze the data that interviewed the administrator of internet shopping mall and directly observed the famous internet shopping mall sites. Generally speaking, the promotion mix, marketing communication program can classify 'advertisement', 'publicity', 'personal selling', and 'sales promotion'. This study analyze the research materials on the basis of advertisement, publicity, personal selling, and sales promotion. The result are as follows. 1. The promotion methods at the stage of information the shopping mall site to the consumer are advertisement, and publicity. ${\bigcirc}$ The methods of advertisement are 'searching engine registration', 'advertisement of key word', 'advertisement of overture', 'advertisement of banner', 'advertisement cooperation marketing', 'advertisement of e-mail'. ${\bigcirc}$ The methods of publicity are using 'cafe', 'blog', 'Naver information site', 'community bulletin board', 'the fashion magazine or a press report' and 'cosponsorship'. 2. The main promotion methods at the stage of inducing the purchase are 'personal selling', and various 'sales promotion'. ${\bigcirc}$ 'Personal selling' at the shopping mall have an effect on the communication at bulletin board over the internet and the telephone. ${\bigcirc}$ 'Sales promotion' are attempted by 'VMD', 'deposit system', 'sale', etc.

• 대한간호학회지
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• 제51권4호
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• pp.442-453
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• 2021

Purpose: This study was conducted to assess public awareness and policy challenges faced by practicing nurses. Methods: After collecting nurse-related news articles published before and after 'the Thanks to You Challenge' campaign (between December 31, 2019, and July 15, 2020), keywords were extracted via preprocessing. A three-step method keyword analysis, latent Dirichlet allocation topic modeling, and keyword network analysis was used to examine the text and the structure of the selected news articles. Results: Top 30 keywords with similar occurrences were collected before and after the campaign. The five dominant topics before the campaign were: pandemic, infection of medical staff, local transmission, medical resources, and return of overseas Koreans. After the campaign, the topics 'infection of medical staff' and 'return of overseas Koreans' disappeared, but 'the Thanks to You Challenge' emerged as a dominant topic. A keyword network analysis revealed that the word of nurse was linked with keywords like thanks and campaign, through the word of sacrifice. These words formed interrelated domains of 'the Thanks to You Challenge' topic. Conclusion: The findings of this study can provide useful information for understanding various issues and social perspectives on COVID-19 nursing. The major themes of news reports lagged behind the real problems faced by nurses in COVID-19 crisis. While the press tends to focus on heroism and whole society, issues and policies mutually beneficial to public and nursing need to be further explored and enhanced by nurses.

• Smart Structures and Systems
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• 제29권1호
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• pp.237-250
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• 2022

Structural health monitoring (SHM) plays an important role in ensuring the safety and functionality of critical civil infrastructure. In recent years, numerous researchers have conducted studies to develop computer vision and machine learning techniques for SHM purposes, offering the potential to reduce the laborious nature and improve the effectiveness of field inspections. However, high-quality vision data from various types of damaged structures is relatively difficult to obtain, because of the rare occurrence of damaged structures. The lack of data is particularly acute for fatigue crack in steel bridge girder. As a result, the lack of data for training purposes is one of the main issues that hinders wider application of these powerful techniques for SHM. To address this problem, the use of synthetic data is proposed in this article to augment real-world datasets used for training neural networks that can identify fatigue cracks in steel structures. First, random textures representing the surface of steel structures with fatigue cracks are created and mapped onto a 3D graphics model. Subsequently, this model is used to generate synthetic images for various lighting conditions and camera angles. A fully convolutional network is then trained for two cases: (1) using only real-word data, and (2) using both synthetic and real-word data. By employing synthetic data augmentation in the training process, the crack identification performance of the neural network for the test dataset is seen to improve from 35% to 40% and 49% to 62% for intersection over union (IoU) and precision, respectively, demonstrating the efficacy of the proposed approach.