• TTA Journal
• /
• s.78
• /
• pp.114-122
• /
• 2001

ITU에서 발생하는 ITU News 2001 No.06에서 브로드밴드의 미래에 대한 기사를 다루면서 한국의 ADSL 성공사례가 소개되었다. 본 지면에서는 동 기사의 대략적인 내용을 살펴보고 브로드밴드에 대한 세계의 흐름을 파악하고자 한다.

• Proceedings of the Korean Environmental Sciences Society Conference
• /
• 1999.04a
• /
• pp.162-164
• /
• 1999

• 레미콘
• /
• s.84
• /
• pp.63-84
• /
• 2005

본 자료는 2005년도 콘크리트(산업)기사 대비자료로서 콘크리트구조설계기준의 주요 개정 내용을 중심으로 회원사 여러분께 도움을 드리고자 편집게재 합니다

• KOREAN ASSOCIATION OF OCCUPATIONAL HEALTH NURSES
• /
• v.19 no.4
• /
• pp.63-63
• /
• 2012

• Journal of Adhesion and Interface
• /
• v.22 no.1
• /
• pp.29-29
• /
• 2021

• Korean journal of communication and information
• /
• v.61
• /
• pp.5-27
• /
• 2013

Media coverage of depression, the mental disorder, is on the high rise following the soaring number of reported celebrity suicide. This study is an exploratory attempt to get a glance on how online news media are portraying depression. The content analysis results indicate that celebrity was the most cited source, outnumbering the others such as non-celebrity patients and experts. More than half of the sample attributed the cause of depression to socio-psychological factors. Medical consultation was the most reported means of treating depression among the sample, while over the half did not suggest any treatment methods at all. Overall, celebrity related news were less likely to talk about the cause and treatment methods. In addition, the more neuro-biological factors were designated as the main cause of depression in the articles, the more chances of treatment method of all kinds were brought up. The frame of human interest dominated a little less than half of the articles examined, and only few reported positive outcome or achievements after coping with depression.

• Korean journal of communication and information
• /
• v.35
• /
• pp.211-249
• /
• 2006

This study investigated how many and which articles readers read in daily newspapers. Distinguished from previous research that measured readers' perception of their reading habits, this study picked up readers who read the newspaper in the morning, showed them every article in the newspaper, and asked them whether they read each article. This method enhanced the accuracy of measuring subjects‘ reading behavior. According to the results, 6.2% of the readers read at least half of the articles of the general section in the newspaper. Fewer readers went over the economic section of the newspaper. It was 4.1% of the readers. There were only 1.1% of readers who did not read any article of the general section, but the rate soared to 26.5% for the economic section. Many newspaper readers did not skip the first five pages of the newspaper, however the highest readership pages were found in the national coverage located in the middle of the general section. On the other hand, few readers read the articles on pages covering culture, international issues, and people. Readership of the top stories showed some unexpected results. The top stories of national coverage located in the middle of the general section were read by more readers than the top stories of the front pages. This study also investigated the difference between young and old readers. The readers of twenties and thirties did not read as many top stories on major pages and editorials as the readers of forties and older.

• Journal of the Korean Society for information Management
• /
• v.24 no.2
• /
• pp.123-141
• /
• 2007

It has been known that predicting stock price is very difficult due to a large number of known and unknown factors and their interactions, which could influence the stock price. However, we started with a simple assumption that good news about a particular company will likely to influence its stock price to go up and vice versa. This assumption was verified to be correct by manually analyzing how the stock prices change after the relevant news stories were released. This means that we will be able to predict the stock price change to a certain degree if there is a reliable method to classify news stories as either favorable or unfavorable toward the company mentioned in the news. To classify a large number of news stories consistently and rapidly, we developed and evaluated a natural language processing based multi-stage news classification system, which categorizes news stories into either good or bad. The evaluation result was promising as the automatic classification led to better than chance prediction of the stock price change.

• The Journal of the Korea Contents Association
• /
• v.12 no.8
• /
• pp.157-166
• /
• 2012

At the recent 19th General Election, Korean papers waged a surrogate war for the parties they share ideology with. All the conventional practices remained the same - the horse race-like presentations, furthering of confrontations, disregarding policy issues, allocating larger space for commentaries and negative issues, and etc. On top of these, papers began to focus on generational conflicts and individuals at the center of widespread attention and controversies, as a new trend. Photo images are largely used in the commentaries and articles dealing with confrontational or controversial situations. Of course, while the visual images seem to reinforce the emotional appeal of the messages papers try to get across, the potential problems need be noticed that could rise when irrelevant images are used.

• Journal of Korea Society of Industrial Information Systems
• /
• v.9 no.3
• /
• pp.11-18
• /
• 2004

It is making researches in questions selection method for examination in web-based education system. Most questions made for these remote examinations use methods of making questions using fixed questions or randomly using item pools or automatically using degree of difficulty. This paper proposes a new examination questions selection algorithm in web-based education system for engineer test. Generally, Engineer test is characterized by adequate examination questions selection for degree of difficulty and equally between all units. Therefore this algorithm selected examination questions equally well as regards degree of difficulty and distribution between all units. This algorithm providers more effective education examination method as compared with previous algorithm.