• Journal of Korean Public Health Nursing
• /
• v.18 no.1
• /
• pp.90-102
• /
• 2004

The purpose of the study was to analyze the current status of hypertension related information on the mass-media. Data were collected on the hypertension related reports in three major broadcasting centers, KBS1$\cdot$2, MBC, SBS, for 2 years, 1999-2001. Sample of the study was 134 reports. The results were as follows: 1. There were differences in frequencies by broadcasting center and programs. KBS and 9PM News were highest in proportions, $62.6\%\;and\;37.3\%$ respectively. 2. In regard to reporting time, $90\%$ were reported in the afternoon. and $62.5\%$ of those reports were in 9 PM, followed by 8PM. & 7PM. and 6AM. 3. In regard to area of the report, $35.8\%$ belonged to social section, followed by $26.1\%$ science. $15.7\%$ international. and $11.2\%$ life and health. 4. In terms of monthly distribution, December, November, and August had higher proportion of reports than other months as well as fall and winter. 5. There were higher proportion of reports containing 'treatment and management' with 'complication management' targeted to 'patients' than 'prevention' targeted to 'general population' in terms of content of the report. In summary, MBC and SBS were more focused on 'treatment and management' with KBS more focused on 'prevention'. There were more 'prevention' related reports in summer, and 'complication management' reports in the morning with 'treatment and management' reports in the afternoon.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.45 no.3
• /
• pp.115-122
• /
• 2022

As cable TV, which has been leading the paid broadcasting market, has given the lead to IPTV, which has huge communication capital, its competitiveness is gradually weakening. This study examines the operation status of local cable TV and seeks ways to strengthen competitiveness for survival. To this end, we conducted data analysis such as related statistics, broadcasting industry survey reports, IPTV growth reports, CMB management indicators, paid broadcasting literature data, marketing reports, industry success stories, and marketing mix and SWOT analysis. As a result, four strategies for strengthening the survival competitiveness of local cable TV, namely joint purchase apartment marketing strategy, influencer marketing strategy, relationship marketing strategy, and digital marketing strategy were derived. Therefore, the results of this study can contribute to the improvement of the competitiveness of local cable TV, which has been with local residents through close content, and can be used as basic data for establishing marketing strategies for local cable TV in the future.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.17 no.3
• /
• pp.87-97
• /
• 2018

The traffic accident reports that are generated by the Traffic Broadcasting Networks(TBN) are unstructured data. It, however, has the value as some sort of real-time traffic information generated by the viewpoint of the drives and/or pedestrians that were on the roads, the time and spots, not the offender or the victim who caused the traffic accidents. However, the traffic accident reports, which are big data, were not applied to traffic accident analysis and traffic related research commonly. This study adopting text-mining technique was able to provide a clue for utilizing it for the impacts of traffic accidents. Seven years of traffic reports were grasped by this analysis. By analyzing the reports, it was possible to identify the road names, accident spot names, time, and to identify factors that have the greatest influence on other drivers due to traffic accidents. Authors plan to combine unstructured accident data with traffic reports for further study.

• International journal of advanced smart convergence
• /
• v.8 no.4
• /
• pp.207-213
• /
• 2019

Assistance for the quality assurance management and developers to provide high quality software products. Using a bug record keeping system is exceptionally important in software progress, and it is followed vastly by majority of software producing companies in modern era. Regular application of a bug record keeping system is very helpful in developing software systems. We developed this system which helps the software testing team to keep a complete record of their testing activities during the software testing, also increases your confidence in the software quality, class and worth. Our proposed system offers trouble-free and effortless approaches to acquire desired information about bug, also produces different kinds of reports like summary reports, detailed reports etc. It gives facility to create, delete and update any project. Our developed application system is designed by using visual c# at front end and sql server 2008 management studio express at back end.

• Journal of Environmental Science International
• /
• v.15 no.11
• /
• pp.1003-1010
• /
• 2006

It is very difficult to forecast accurately a damage from the natural disasters which occurs frequently. If the significant weather event was forecasted one or two days ago, we will be able to minimize a damage from the severe weather event through the suitable prevention activities. It said that 2000's our country's total damages from the meteorological disasters was several trillion won(Park et al, a, b, 2005). Therefore, we analyzed the Korea Meteorological Administration(KMA) and television broadcasting's reports, information contents, and transmission system, an ex post facto valuation about typhoon Nabi which struck the Korean peninsula from September 5 to 7, 2005. Through these investigations, we want to present the basic data to rises the application effect of disaster prevention meteorological information. We think KMA must present many information report to promote a citizen's understanding about the meteorological information and the serious disaster situation. And also we think the KMA and television broadcasting must present an advisable reports, the contents which is suitable to disaster response stages. And we must grasp the problem of disaster prevention meteorological information through an ex post facto examination, improve it effectively.

• The Journal of the Korea Contents Association
• /
• v.13 no.4
• /
• pp.115-124
• /
• 2013

In this study I selected the keyword analysis method to infer what's the components of production system. Magazine , were chosen, because they are most close media to production reality. After content analysis of , key words of main reports were programming production, institution policy, industry, technology. As for , institution policy, organization, programming production, collective action were frequently found. Even though there are some differences between two media, institution policy, industry, technology, organization keywords are very salient components regarding programming production.

• Journal of the Korea Society of Computer and Information
• /
• v.15 no.8
• /
• pp.41-49
• /
• 2010

Digital broadcasting system has various affecting factors unlike analog broadcasting system, and has possibility of no signal reception in case of errors due to characteristics of digital system. And, digital broadcasting system has monitoring system for error occurrences handling various factors. ATSC mobile DTV system uses legacy frequency and provides mobile broadcasting services, and also requires monitoring systems for monitoring online broadcasting services and reporting to administrator about interference or influence with legacy systems, and error situations. In this paper, we propose efficient monitoring system which monitors online broadcasting status of ATSC mobile DTV, reports on poor signal reception, video streaming failures to administrator, and maintains reliable digital broad ca sting system.

• International Journal of Internet, Broadcasting and Communication
• /
• v.11 no.2
• /
• pp.50-58
• /
• 2019

The clear and specific objective of this study is to design a false news discriminator algorithm for news articles transmitted on a text-based basis and an architecture that builds it into a system (H/W configuration with Hadoop-based in-memory technology, Deep Learning S/W design for bigdata and SNS linkage). Based on learning data on actual news, the government will submit advanced "fake news" test data as a result and complete theoretical research based on it. The need for research proposed by this study is social cost paid by rumors (including malicious comments) and rumors (written false news) due to the flood of fake news, false reports, rumors and stabbings, among other social challenges. In addition, fake news can distort normal communication channels, undermine human mutual trust, and reduce social capital at the same time. The final purpose of the study is to upgrade the study to a topic that is difficult to distinguish between false and exaggerated, fake and hypocrisy, sincere and false, fraud and error, truth and false.

• International Journal of Internet, Broadcasting and Communication
• /
• v.14 no.4
• /
• pp.154-162
• /
• 2022

This study aimed to systematically review the available body awareness interventions in patients with musculoskeletal disorders. A total of 3,462 studies were searched in relevant databases using the search keywords, and six studies that met the selection criteria after review were included in the final analysis. The qualitative level of the studies was classified using the five levels of evidence-based classification, and systematic analysis was conducted according to PICO model (patient/population, intervention, comparison and outcomes). Of the six studies included in the final analysis, there were one, three, and two randomized controlled trials, non-randomized two-group studies, and case reports, respectively. Body awareness therapy was applied to patients with idiopathic scoliosis, non-specific musculoskeletal disorder, hip osteoarthritis, and amputation, who showed positive improvements after the interventions. Our results suggested that body awareness therapy is an important intervention with positive effects on the recovery of patients with musculoskeletal disorders.

• International Journal of Internet, Broadcasting and Communication
• /
• v.15 no.4
• /
• pp.90-99
• /
• 2023

This paper deals with studying strategy about impact of deep learning (DL) on the factor of Korean economic growth. To study classification of impact factors of Korean economic growth, we suggest dynamic equation of microeconomy and study methods on economic growth impact of deep learning. Next step is to suggest DL model to dynamic equation with Korean economy data with growth related factors to classify what factor is import and dominant factors to build policy and education. DL gives an influence in many areas because it can be implemented with ease as just normal editing works and speak including code development by using huge data. Currently, young generations will take a big impact on their job selection because generative AI can do well as much as humans can do it everywhere. Therefore, policy and education methods should be rearranged as new paradigm. However, government and officers do not understand well how it is serious in policy and education. This paper provides method of policy and education for AI education including generative AI through analysing many papers and reports, and experience.