• Photonics industry news
• /
• s.22
• /
• pp.90-97
• /
• 2004

최근 수년간 세계적인 광통신 관련 업체 및 기관들 사이에 광부품의 전기적, 물리적 특징을 규정짓는 표준 규약인 MSA(Multi-Source Agreement)를 통하여 설계시간과 비용을 절감하기 위한 노력들이 다양한 형태로 꾸준히 진행되어 왔다. 이러한 MSA들은 같은 응용제품에 대하여 참여기업 사이의 상호 협약인 만큼 완전한 범세계적 표준은 아니지만, 주요 생산자들과 고객들 사이의 상호 협약을 통하여 시간, 비용 뿐만 아니라 시스템 내에서의 상호 호환성에 대한 부분까지 공유하고 있으므로 관련 제품에 대하여 사실상의 표준화를 선도하고 있다. 본 글에서는 특히 현재 광전송네트웍에서 가장 큰 부분을 차기하고 있는 10Gbps급 광송수신 모듈(광트렌시버)에 대한 MSA들의 주요 특징 및 물리적인 규격들을 비교 분석하였다. 이중에서 일부 MSA를 준수하는 제품군들은 선진 부품 업체들에 의해 최근에야 본격적으로 출시되도 있지만, 조만간 기존의 제품들을 밀어내고 관련 시장에서 가장 큰 비중을 차지할 것으로 전망된다.

• Asia-Pacific Journal of Business
• /
• v.12 no.1
• /
• pp.183-193
• /
• 2021

Purpose - The purpose of this study is to examine the impacts of global uncertainty on gross and net capital flows in Korea. Design/methodology/approach - We conduct an empirical analysis of the impact of global uncertainty on the net and gross capital flows in korea. To investigate the impacts, we incorporate linear and nonlinear ARDL models. Findings - We find global uncertainty has negative impacts on the gross and net capital flows. But this impact is nonlinear. The negative global uncertainty shocks are bigger than the positive global uncertainty shocks on capital flows in Korea. And we find this relationship is noticeable in gross capital inflows. We also find interest rate difference between the US and Korea is the main driving source in capital flow after the Global financial crisis. Research implications or Originality - The results of this study suggest that the negative impacts of global uncertainty are noticeable. This means that economic players in financial markets should be more concerned about the bad news.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.14 no.3
• /
• pp.357-362
• /
• 2004

Language models are essential in predicting the next word in a spoken sentence, thereby enhancing the speech recognition accuracy, among other things. However, spoken language domains are too numerous, and therefore developers suffer from the lack of corpora with sufficient sizes. This paper proposes a method of combining two n-gram language models, one constructed from a very small corpus of the right domain of interest, the other constructed from a large but less adequate corpus, resulting in a significantly enhanced language model. This method is based on the observation that a small corpus from the right domain has high quality n-grams but has serious sparseness problem, while a large corpus from a different domain has more n-gram statistics but incorrectly biased. With our approach, two n-gram statistics are combined by extending the idea of Katz's backoff and therefore is called a dual-source backoff. We ran experiments with 3-gram language models constructed from newspaper corpora of several million to tens of million words together with models from smaller broadcast news corpora. The target domain was broadcast news. We obtained significant improvement (30%) by incorporating a small corpus around one thirtieth size of the newspaper corpus.

• Informatization Policy
• /
• v.22 no.2
• /
• pp.57-74
• /
• 2015

This research has been performed in order to investigate the probability that cultural factors in everyday life affect individuals' political behaviors. Using the data collected from 2014 Seoul mayoral election, it analyzes how the degree to which individuals have various cultural capital influences their types of political information acquisition through media. The outcomes suggest following three. First, the more cultural capital individuals have, the more active they are in obtaining political information using diverse media. Second, those who mark high score in the self-cognitive area of cultural capital, such as cultural preferences and cultural tastes, tend to gather political information throughout formal news-oriented media such as on-line news, TV, and newspapers. Third, when types of media are classified into old and new, those who have a variety of cultural capital are likely to prefer new media as their major source of political information acquisition.

• Journal of the Korean Society for Library and Information Science
• /
• v.35 no.3
• /
• pp.173-189
• /
• 2001

This paper presents a framework for observable behavior that can be used as a basis for user modeling, and it reports the results of a pair of user studies that examine the joint utility of two specific behaviors. User models can be constructed by hand, or they can be teamed automatically based on feedback provided by the user about the relevance of documents that they have examined. By observing user behavior, it is possible to obtain implicit feedback without requiring explicit relevance judgments. Four broad categories of potentially observable behavior are identified : examine, retain, reference, and annotate, and examples of specific behaviors within a category are further subdivided based on the natural scope of information objects being manipulated . segment object, or class. Previous studies using Internet discussion groups (USENET news) have shown reading time to be a useful source of implicit feedback for predicting a user's preferences. The experiments reported in this paper extend that work to academic and professional journal articles and abstracts, and explore the relationship between printing behavior and reading time. Two user studies were conducted in which undergraduate students examined articles or abstracts from the telecommunications or pharmaceutical literature. The results showed that reading time can be used to predict the user's assessment of relevance, that the mean reading time for journal articles and technical abstracts is longer than has been reported for USENET news documents, and that printing events provide additional useful evidence about relevance beyond that which can be inferred from reading time. The paper concludes with a brief discussion of the implications of the reported results.

• Information Systems Review
• /
• v.25 no.3
• /
• pp.163-177
• /
• 2023

This research aims to identify key initiatives and a policy approach to support the industrialization of the sector. The research collected a total of 91,873 news data points relating to healthcare between 2013 to 2022. A total of 20 topics were derived through topic modeling analysis, and as a result of time series regression analysis, 4 hot topics (Healthcare, Biopharmaceuticals, Corporate outlook·Sales, Government·Policy), 3 cold topics (Smart devices, Stocks·Investment, Urban development·Construction) derived a significant topic. The research findings will serve as an important data source for government institutions that are engaged in the formulation and implementation of Korea's policies.

• Korean journal of communication and information
• /
• v.37
• /
• pp.237-269
• /
• 2007

This study examined how newspapers covered the 60th anniversary of the historical event, 8 15 Independence Day. Specifically, five newspapers from three countries were content-analyzed to see differences, if any, based on country level and political ideology of the newspaper. The findings showed that Japanese newspapers yielded less amount of coverage than those of Korea and China. The newspapers of Korea and China used straight news format, while Japanese newspapers used opinion news format. In terms of information source, Korean newspapers and Chinese newspapers mainly relied on the information from the government, while Japanese newspapers took the information from citizen. The difference also revealed that Korean newspapers focused on domestic situation frame and the other countries more emphasized past memory of the War times. Consequently, the three countries showed clearly different perspectives on the same historical event. These distinctions were caused from national interest rather than political ideology of the newspaper.

• Korean journal of communication and information
• /
• v.74
• /
• pp.136-176
• /
• 2015

Despite the great significance we attach on culture, only a handful of researches focus on the characteristics and practices of cultural journalism. This study has aimed to unravel the changes in the trajectory of cultural journalism of Korean major newspapers, through content analysis and qualitative interpretation of the cultural contents they report. The results show that the number of cultual items have decreased compared to that of 10 years ago, although the entire number of pages has meanwhile increased. News items focused on 'products(advertisement)' and 'life(style)' have increased, whereas those on 'knowledge refined' and 'leisure entertainment' have decreased. 'Critique review commentary', 'academics' and 'performance exhibition art music' items turn out to have decreased significantly; soft contents such as mass culture, tourism, fashion and beauty, on the other hand, have increased considerably. Moreover, the demographic characteristics of news contributors remain almost the same, except that the proportion of ordinary readers/audience has slightly increased. Similarly, although there were no difference regarding the sources of direct quotation, the frequency of quotes from ordinary readers has increased. Consequently, these results imply how the cultural journalism of Korean newspapers are limited in encompassing diverse types of content, differentiating constitution, and presenting critical viewpoints.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.32 no.6
• /
• pp.651-659
• /
• 2014

With the popularization of big data environment, big data have been highlighted as a key information strategy to establish national spatial data infrastructure for a scientific land policy and the extension of the creative economy. Especially interesting from our point of view is the cadastral information is a core national information source that forms the basis of spatial information that leads to people's daily life including the production and consumption of information related to real estate. The purpose of our paper is to suggest the scheme of big data analytics with respect to the articles of cadastral resurvey project in order to approach cadastral information in terms of spatial data integration. As specific research method, the TM (Text Mining) package from R was used to read various formats of news reports as texts, and nouns were extracted by using the KoNLP package. That is, we searched the main keywords regarding cadastral resurvey, performing extraction of compound noun and data mining analysis. And visualization of the results was presented. In addition, new reports related to cadastral resurvey between 2012 and 2014 were searched in newspapers, and nouns were extracted from the searched data for the data mining analysis of cadastral information. Furthermore, the approval rating, reliability, and improvement of rules were presented through correlation analyses among the extracted compound nouns. As a result of the correlation analysis among the most frequently used ones of the extracted nouns, five groups of data consisting of 133 keywords were generated. The most frequently appeared words were "cadastral resurvey," "civil complaint," "dispute," "cadastral survey," "lawsuit," "settlement," "mediation," "discrepant land," and "parcel." In Conclusions, the cadastral resurvey performed in some local governments has been proceeding smoothly as positive results. On the other hands, disputes from owner of land have been provoking a stream of complaints from parcel surveying for the cadastral resurvey. Through such keyword analysis, various public opinion and the types of civil complaints related to the cadastral resurvey project can be identified to prevent them through pre-emptive responses for direct call centre on the cadastral surveying, Electronic civil service and customer counseling, and high quality services about cadastral information can be provided. This study, therefore, provides a stepping stones for developing an account of big data analytics which is able to comprehensively examine and visualize a variety of news report and opinions in cadastral resurvey project promotion. Henceforth, this will contribute to establish the foundation for a framework of the information utilization, enabling scientific decision making with speediness and correctness.

• Korean journal of communication and information
• /
• v.29
• /
• pp.43-71
• /
• 2005

The study attempts to introduce 'Gotcha Journalism' to the Korea journalism, research and analyze it. Gotcha journalism is the journalistic reporting attitude that the journalists repeatedly and intensively reports public figures, especially politicians' mistakes or happening. 'Gotcha' is abbreviation of "I got you", frequently used in the English and American culture. In order to get the goal of this study, several journalists who are currently working for Chosun, Joongang, Dong-a, Hangyore, Kyunghyang and Seoul, national covering daily newspapers. In addition, the reporters who work for KBS, MBC, and SBS were Interviewed. All journalists who have been worked more than 5 years at the politic department were selected as interviewees. Thus, Intensive interviews are prime source of this study. Based the result of the research, gotcha journalism is externally derived from obsessive interest of Korean people to politics. Internally, it is easy to report happening or mistakes rather than big argument or ideological agenda of the politicians as news for journalists and to catch readers. In addition, the competition with advertising income accelerates this situation. And gotcha journalistic reporting behavior or attitude highly relates to political propensity of the newspapers or broadcastings. Especially some of the newspapers take gotcha journalism as a political struggling tool. It is appeared that another major cause for gotcha journalistic reporting behavior is customer-driven news production.