• International Journal of Internet, Broadcasting and Communication
• /
• 제9권4호
• /
• pp.25-30
• /
• 2017

Market of smart toys is showing rapid growth globally. Recently, new types of toys which can be synced with smart phones, so called smart toys, are being released continuously. As a result, products from RC cars with camera attached that can be driven and monitored using a connected smart phone to toys that would call kid's name once it has been entered through a mobile app. It has been confirmed that there are various way to connect those toys with mobile devices. In this paper, functions of smart toys are classified, and research on different synchronization methods of the toys sold in market as of July, 2017 are explained.

• International Journal of Internet, Broadcasting and Communication
• /
• 제8권1호
• /
• pp.19-26
• /
• 2016

In this paper, the existing domestic HVAC systems, devices TCP / IP does not support the most, thereby, not performed remote management, it is necessary to regularly field service, inefficiency and cost bring a burden. This is through a comparison of the IoT-based primary, real-time protocol of what has become a hot topic recently, to be able to control and real-time monitoring through the CCU device in the HVAC system. Compare for this Internet of Things device for real-time monitoring and control of the XMPP, CoAP, MQTT main real-time protocol is used on. Finally, flexibility, light weight, based on MQTT a two-way messaging protocols with reliable message delivery, implements the protocol on the real-time HVAC system in the cloud platform.

• International journal of advanced smart convergence
• /
• 제7권2호
• /
• pp.67-72
• /
• 2018

On the internal based search, the big data inference, which is failed in the president's election in the United States of America in 2016, is failed, because the prediction method is used on the base of the searching numerical value of a candidate for the presidency. Also the Flu Trend service is opened by the Google in 2008. But the Google was embarrassed for the fame's failure for the killing flu prediction system in 2011 and the prediction of presidential election in 2016. In this paper, using the virtual vote algorithm for virtual election and data mining method, the election prediction algorithm is proposed and unpacked. And also the WEKA DB is unpacked. Especially in this paper, using the K means algorithm and XEDOS tools, the prediction of election results is unpacked efficiently. Also using the analysis of the WEKA DB, the smart election prediction system is proposed in this paper.

• 한국콘텐츠학회:학술대회논문집
• /
• 한국콘텐츠학회 2005년도 춘계 종합학술대회 논문집
• /
• pp.101-106
• /
• 2005

최근 정보통신부가 발표한 IT839 전략에 따르면, 향후 방송과 통신의 융합 흐름은 더욱 가속화될 전망이다. 특히, 광대역 통합망(BCN) 환경이 구축되면 IPTV 서비스는 더욱 많은 수요를 불러올 것으로 예상되는데, 성공적인 사업화와 서비스 활성화를 위해서는 방송 콘텐츠의 저작권 보호 방안이 절실히 요구되고 있다. 본 논문에서는 IPTV 방송 서비스의 특성과 그에 따라 요구되는 콘텐츠 보안의 문제점들을 살펴보고자 한다. 이를 위해 IPTV의 기본 보안 모델을 제시하고, 그것을 기반으로 기존의 CAS, DRM 기술을 적용하는데 어떠한 한계점들이 있는 지를 분석한다.

• International Journal of Internet, Broadcasting and Communication
• /
• 제10권2호
• /
• pp.1-6
• /
• 2018

The following research questions are examined in this paper. What hinders quality metadata generation and metadata interoperability? What kind of semantic representation technique can be utilized in order to enhance metadata quality and semantic interoperability? This paper suggests a way of handling semantic ambiguity for metadata generation. The conceptual graph is utilized to disambiguate semantic ambiguities caused by isolation of a metadata element and its corresponding definition from the relevant context. The mechanism introduced in this paper has the potential to alleviate issues dealing with inconsistent metadata application and interoperability across digital collections.

• International Journal of Internet, Broadcasting and Communication
• /
• 제7권1호
• /
• pp.57-61
• /
• 2015

The level of change in distant PTC, near PTC, distant NTC, and near NTC was measured divided by before and after viewing 3D images. The 50 examinees were categorized into Low/ Middle/ High groups according to the level of change by test subject. Among all the entries, the exophoria group showed the highest change distribution, and in the distant and near NTC entries showed statistically significant differences in variation.

• International journal of advanced smart convergence
• /
• 제10권4호
• /
• pp.273-277
• /
• 2021

As society gradually enters a virtual, non-face-to-face society, the use of online content is increasing as well. In particular, as smartphones are thoroughly established in our daily life, the platforms of webtoons, mobile broadcasting, and education are shifting from personal computers to smartphones. Recently, the development of the Over-The-Top media service (OTT service) enabled streaming services of various media contents through the internet and activation of IPTV. Therefore, the rapid increase of popularity of short-form content is a natural phenomenon with smartphone platforms with fast, improvised, and endless communication. Lately, TikTok became the favored platform with prosumers, defined as people who are both producers and consumers. In this study, I studied the experiential response of YouTube and TikTok users as representative examples of a short-form content platform developed after the 2000s, the flourishing years of digital content with a length of 30 seconds.

• International Journal of Internet, Broadcasting and Communication
• /
• 제13권2호
• /
• pp.224-230
• /
• 2021

YouTube is an OTT service that leads the home economy, which has emerged from the 2020 Corona Pandemic. With the growth of OTT-based individual media, creators are required to establish attractive storytelling strategies that can be preferred by viewers and elected for YouTube recommendation algorithms. In this study, we conducted a study on modeling that proposes a content storyline for creators. As the ability for Creators to create content that viewers prefer, we have presented the data literacy ability to find patterns in complex and massive data. We also studied the importance of compelling storytelling configurations that viewers prefer and can be selected for YouTube recommendation algorithms. This study is of great significance in that it deviated from the viewer-oriented recommendation system method and proposed a story suggestion model for individual creaters. As a result of incorporating this story proposal model into the production of the YouTube channel Tiger Love video, it showed a certain effectiveness. This story suggestion model is a machine learning text-based story suggestion system, excluding the application of photography or video.

• International Journal of Internet, Broadcasting and Communication
• /
• 제11권1호
• /
• pp.97-102
• /
• 2019

As the number of "Mobility Handicapped" increases, the incidence of "Mobility Handicapped" traffic accidents is also increasing. In order to reduce the incidence of traffic accidents in the "Mobility Handicapped", a service providing system for "Mobility Handicapped" is required. Since these services have different data formats, data heterogeneity occurs. Therefore, the system should resolve the data heterogeneity by mapping the format of the data. In this paper, we design DBaaS as a mobility handicapped system for data interoperability. This system provides a service to extend the flashing time of the traffic lights according to the condition of "Mobility Handicapped" on the occurrence of a fall or a crosswalk in a crosswalk where there is a risk of a traffic accident. These services can reduce the incidence of traffic accidents in "Mobility Handicapped".

• International Journal of Internet, Broadcasting and Communication
• /
• 제13권3호
• /
• pp.42-49
• /
• 2021

As cyber attacks become more intelligent, there is difficulty in detecting advanced attacks in various fields such as industry, defense, and medical care. IPS (Intrusion Prevention System), etc., but the need for centralized integrated management of each security system is increasing. In this paper, we collect big data for intrusion detection and build an intrusion detection platform using deep learning and CNN (Convolutional Neural Networks). In this paper, we design an intelligent big data platform that collects data by observing and analyzing user visit logs and linking with big data. We want to collect big data for intrusion detection and build an intrusion detection platform based on CNN model. In this study, we evaluated the performance of the Intrusion Detection System (IDS) using the KDD99 dataset developed by DARPA in 1998, and the actual attack categories were tested with KDD99's DoS, U2R, and R2L using four probing methods.