• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 1999.06a
• /
• pp.183-190
• /
• 1999

We have started the field test of the VOD service since April 1996, in Huis Ten Bosch which is one of the famous theme parks in Japan. In three years, total about 100 thousands people have used this VOD system and evaluated it. This test verifies that the VOD system which provides moving picture by MPEG2 via broad bandwidth ATM network has already reached the level of actual use. And also we get the know-how to construct contents, or how to manage network resources and server resources, and we have proposed them.

• Annual Conference of KIPS
• /
• 2011.11a
• /
• pp.996-998
• /
• 2011

인터넷의 발전과 더불어 네트워크 상에서의 침입 시도가 갈수록 증가되고 다변화되고 있으며, 특히, 네트워크나 서버의 가용성을 위협하는 형태의 서비스 거부(DoS: Denial of Servie) 공격이 최근 급증하고 있다. 따라서, 본 논문에서는 인터넷 서버의 정상적인 서비스 제공을 방해하는 형태의 분산 서비스 거부(DDoS: Distributed Denial of Service) 공격으로부터 서버를 보호하고 원활한 서비스를 제공하기 위한 Secure-NIC 시스템의 설계 및 구현에 대해서 설명한다. 이는 "CISGDP : CPU-Independent Service Guaranteed DDoS Protection" 이라는 설계 개념하에서, 각종 인터넷 서버에 장착되어 DDoS 공격 등의 네트워크 공격에 대하여 서버의 고유 서비스가 지속적으로 보장될 수 있도록 자체 보안 기능을 NIC(Network Interface Card) 형태로 제공한다.

• ETRI Journal
• /
• v.42 no.5
• /
• pp.658-668
• /
• 2020

In edge computing, most procedures, including data collection, data processing, and service provision, are handled at edge nodes and not in the central cloud. This decreases the processing burden on the central cloud, enabling fast responses to end-device service requests in addition to reducing bandwidth consumption. However, edge nodes have restricted computing, storage, and energy resources to support computation-intensive tasks such as processing deep neural network (DNN) inference. In this study, we analyze the effect of models with single and multiple local exits on DNN inference in an edge-computing environment. Our test results show that a single-exit model performs better with respect to the number of local exited samples, inference accuracy, and inference latency than a multi-exit model at all exit points. These results signify that higher accuracy can be achieved with less computation when a single-exit model is adopted. In edge computing infrastructure, it is therefore more efficient to adopt a DNN model with only one or a few exit points to provide a fast and reliable inference service.

• ETRI Journal
• /
• v.38 no.1
• /
• pp.112-122
• /
• 2016

This paper presents a set of candidate regulatory requirements for TV band devices (TVBDs) in the Rep. of Korea. To guarantee the protection of incumbent services, especially digital TV (DTV) and wireless microphones, in TV frequency bands, we suggest minimum separation distances of TVBDs from the noise-limited contour according to incumbent users and TVBD types. This paper also deals with multiple sets of separation distances of a co-channel TVBD network from a DTV protected contour on the basis of the radio propagation characteristics of different geographic areas to make good use of TV white space (TVWS) and safely protect the DTV service. We present a low-power transmission mode of TVBDs and the relevant separation distances for small-cell deployment. The service coverage reduction ratio of a TVBD network is investigated in the presence of DTV interference in four geographic areas. The TVWS field verification results, conducted on the island of Jeju (Rep. of Korea), show that incumbent services operate well without harmful interference from neighboring TVBDs with the proposed separation distances.

• Electronics and Telecommunications Trends
• /
• v.37 no.4
• /
• pp.19-27
• /
• 2022

The coronavirus disease 2019 (COVID-19) pandemic has significantly changed the Lifeline Program, a telecommunications rate discount program for low-income Americans. As the reliance on online activities such as remote work, distance education, and online shopping grows because of the spread of COVID-19, there is a concern that the digital divide will widen among low-income households that struggle to access internet infrastructure due to the burden of access rates. Accordingly, the US Congress passed a bill to help lower the internet bill for low-income households using the government budget to close the digital divide. The Lifeline Program, which is a part of the universal service obligation, has been in charge of the telecommunications rate discount for low-income households. However, according to the new law, the internet rate discount program based on the government budget was implemented beginning in 2021. As the internet rate discount based on the government budget begins, the US telecommunication rate discount system is transitioning from a system in which telecommunication industry support was borne by operators to one in which public support from the government budget will play a significant role. In this paper, we will look at recent changes in the US telecommunications rate discount program and their implications.

• Proceedings of the IEEK Conference
• /
• 2008.06a
• /
• pp.369-370
• /
• 2008

The DMB standards allow to transmit IP data on IP Tunneling. It is able to DMB data localcasting services using technologies as assigning IP address, encapsulating IP packets, guiding IP data service and, exchanging IP packet at the local area. As the result of that, we can have good experiences as rich and localized multimedia on the DMB networks.

• Proceedings of the CALSEC Conference
• /
• 2005.03a
• /
• pp.253-258
• /
• 2005

• Standardization Trend in Telecommunications
• /
• s.19
• /
• pp.61-69
• /
• 1991

• Journal of Korea Multimedia Society
• /
• v.24 no.1
• /
• pp.75-94
• /
• 2021

The 4th industrial revolution needs a fusion of artificial intelligence, robotics, the Internet of Things (IoT), edge computing, and other technologies. For the fusion of technologies, cloud computing technology can provide flexible and high-performance computing resources so that cloud computing can be the foundation technology of new emerging services. The emerging services become a global-scale, and require much higher performance, availability, and reliability. Public cloud providers already provide global-scale services. However, their services, costs, performance, and policies are different. Enterprises/ developers to come out with a new inter-operable service are experiencing vendor lock-in problems. Therefore, multi-cloud technology that federatively resolves the limitations of single cloud providers is required. We propose a software platform, denoted as Cloud-Barista. Cloud-Barista is a multi-cloud service common platform for federating multiple clouds. It makes multiple cloud services as a single service. We explain the functional architecture of the proposed platform that consists of several frameworks, and then discuss the main design and implementation issues of each framework. To verify the feasibility of our proposal, we show a demonstration which is to create 18 virtual machines on several cloud providers, combine them as a single resource, and manage it.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.8 no.8
• /
• pp.2743-2762
• /
• 2014

Promoted by cloud technology and new websites, plenty and variety of Web services are emerging in the Internet. Meanwhile some Web services become outdated even obsolete due to new versions, and a normal phenomenon is that some services work well only with other services of older versions. These laggard or improper services are lowering the performance of the composite service they involved in. In addition, using current technology to identify proper semantic services for a composite service is time-consuming and inaccurate. Thus, we proposed a clustering method and a recommendation method to deal with these problems. Clustering technology is used to classify semantic services according to their topics, functionality and other aspects from plenty of services. Recommendation technology is used to predict the possible preference of a composite service, and recommend possible component services to the composite service according to the history information of invocations and similar composite services. The experiments show that our clustering method with the help of Ontology and TF/IDF technology is more accurate than others, and our recommendation method has less average error than others in the series of missing rate.