• Title/Summary/Keyword: 적응형 그룹통신

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Information Sharing Model based on Adaptive Group Communication for Cloud-Enabled Robots (클라우드 로봇을 위한 적응형 그룹통신 기반 정보공유 모델)

  • Mateo, Romeo Mark;Lee, Jaewan
    • Journal of Internet Computing and Services
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    • v.14 no.4
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    • pp.53-62
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    • 2013
  • In cloud robotics, the model to share information efficiently is still a research challenge. This paper presents an information sharing model for cloud-enabled robots to collaborate and share intelligence. To provide the efficient message dissemination, an adaptive group communication based on multi-agent is proposed. The proposed algorithm uses a weight function for the link nodes to determine the significant links. The performance evaluation showed that the proposed algorithm produced minimal message overhead and was faster to answer queries because of the significant links compared to traditional group communication methods.

Towards Group-based Adaptive Streaming for MPEG Immersive Video (MPEG Immersive Video 를 위한 그룹 기반 적응적 스트리밍)

  • Jong-Beom Jeong;Soonbin Lee;Jaeyeol Choi;Gwangsoon Lee;Sangwoon Kwak;Won-Sik Cheong;Bongho Lee;Eun-Seok Ryu
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2022.11a
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    • pp.54-57
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    • 2022
  • 다수의 색상 및 거리 정보로 구성된 몰입형 영상 부호화를 위한 MPEG immersive video (MIV) 표준은 각 시점의 영상 간 중복성 제거 및 잔여 영상 병합을 통한 압축률 향상을 목표로 한다. 시점에 따른 카메라 그룹핑을 통해 압축률 향상이 가능하나, 그룹 기반 MIV 부호화 기술은 최근 활발히 논의되고 있지 않다. 따라서 본 논문은 최신 버전의 MIV 참조 소프트웨어에 그룹 기반 부호화 기술을 이식하고 적응적 스트리밍을 위한 그룹 기반 부호화 기술의 효율을 검증하였다.

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Improved Grouping and Buffer Sharing Method in VOD Server (주문형 비디오 서버에서의 개선된 그룹핑과 버퍼 공유 기법)

  • Jeong, Hong-Gi;Park, Seung-Gyu
    • Journal of KIISE:Information Networking
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    • v.27 no.4
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    • pp.489-497
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    • 2000
  • 주문형 비디오(Video On Demand)서버의 구현은 현재까지도 많은 부분에 한계를 가지고 있으며 이를 해결하기 위한 연구들이 활발히 진행되고 있다. 주문형 비디오 서비스의 한계는 대부분이 자원(디스크, 버퍼)의 제한 때문에 발생하고 있으며 디스크어레이(Disk Array)나, 메모리 뱅크(Memory Bank)와 같은 특수한 하드웨어를 사용하여 해결하고 있다. 또한 이와 아울러 그룹핑이나 버퍼 공유기법과 같은 소프트웨어적인 방법도 제안되었다. 본논문에서는 주분형 비디오 서버의 한계 중 디스크대역폭과 버퍼공간의 한계점에 의한 문제를 해결하기위하여 개선된 그룹핑 방법과 버퍼 공유 및 관리 방법을 제안한다. 제안하는 그룹핑 방법은 비디오의 인기도에 기반을 둔 방법을 사용하며 버퍼 공유방법은 버퍼의 크기 및 디스크의 대역폭 가용량에 따라 적응적으로 병합 분할하는 방법을 사용한다, 제안하는 병합 분할 방법은 피기백킹(piggy-backing)개념을 도입하였으며 시뮬레이션을 통해 제안하 방법의 우수성을 보였다.

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Performance analysis of Wireless Internet system employing joint adaptive array antennas (결합 적응형 어레이 안테나를 적용한 무선 인터넷 시스템 구조 제안 및 성능분석)

  • Park, Hyun-Hwa;Kim, Jeong-Ho
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.32 no.5A
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    • pp.433-440
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    • 2007
  • In this paper, we have proposed WiBro receiver structure employing joint adaptive antenna scheme at the base station (BS) and the mobile station (MS) and evaluated its performance. In WiBro system, the joint use of transmit beamforming at BS and receive beamforming at MS can improve the SINR significantly and increase the capacity compared to the conventional system. Moreover, power allocation level can be decreased because channel variation can be reduced by using the jointly updated weight. However, it needsthe calculation of the antenna weights in every subcarrier for performance improvement. This could imply an enormous computational burden. However, the computational complexity can be reduced significantly by using the same set of the antenna weights for the adjacent subcarriers instead of calculating antenna weights for every subcarrier. We have analyzed the impact of subcarrier grouping for weight calculation on the system performance.

Adaptive Tree-based Recovery Scheme for Large-Scale Reliable Multicast Sessions (대규모 신뢰적 멀티캐스트 세션을 위한 적응형 트리 기반 복구 기법)

  • Yun, Won-Yong;Lee, Dong-Man
    • Journal of KIISE:Information Networking
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    • v.27 no.3
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    • pp.360-369
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    • 2000
  • 통신의 규모가 사용자 수와 지리적 범위 두 가지 측면에서 커짐에 따라 신뢰적인 멀티캐스트 프로토콜의 implosion 및 exposure 문제는 더욱 심각해진다. 본 논문은 트리 기반 신뢰적 멀티캐스트를 위한 효율적이고 확장성 있는 손실 복구 기법을 제안한다. 먼저 에러 비트맵 정보를 통하여 멀티캐스트 라우팅 트리와 유시한 논리적 트리를 구성함으로써 멀티캐스트 라우팅 트리에서 상위에 위치하는 수신자들이 재전송을 요청한 수신자의 신뢰성을 책임지도록 하고 또한 효율적인 복구를 위해 구성된 트리 상에 독립된 멀티캐스트 주소를 가지는 지역 그룹을 형성한다. 논리적 트리는 세션 멤버쉽이나 멀티캐스트 경로의 변화에 따라 적응적으로 재구성되는데 이는 멀티캐스트 세션의 진행 동안 논리적 트리와 멀티캐스트 라우팅 트리 사이에 불일치를 최소화함으로써 멤버쉽과 경로가 변하는 상황에서도 implosion과 exposure를 감소시키는 강점을 지닌다. 제안한 기법과 정적 트리기반의 신뢰적 멀티캐스트 프로토콜과의 시뮬레이션을 통한 비교는 세션의 크기가 증가할수록 제안한 적응형 트리 기반의 복구방식이 더욱 효율적임을 보여준다.

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Synchronized One-to-many Media Streaming employing Server-Client Coordinated Adaptive Playout Control (적응형 재생제어를 이용한 동기화된 일대다 미디어 스트리밍)

  • Jo, Jin-Yong;Kim, Jong-Won
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.28 no.5C
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    • pp.493-505
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    • 2003
  • A new inter-client synchronization framework for multicast media streaming is proposed employing a server-client coordinated adaptive playout control. The proposed adaptive player controls the playback speed of audio and video by adopting the time-scale modification of audio. Based on the overall synchronization status as well as the buffer occupancy level, the playout speed of each client is manipulated within a perceptually tolerable range. Additionally, the server implicitly helps increasing the time available for retransmission while the clients perform an interactive error recovery mechanism with the assistance of playout control. The network-simulator based simulations show that the proposed framework can reduce the playout discontinuity without degrading the media quality, and thus mitigate the client heterogeneity.

A Survey of the Self-Adaptive IoT Systems and a Compare and Analyze of IoT Using Self-Adaptive Concept (자가적응형 IoT 시스템 개발 동향과 자가적응형 개념을 활용한 IoT 비교분석)

  • Hwang, Seyoung;Seo, Jangill;Park, Sungjun;Park, Sangwon
    • KIPS Transactions on Computer and Communication Systems
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    • v.5 no.1
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    • pp.17-26
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    • 2016
  • IoT means things space networks that form the intelligent relationship such as sensing, networking, information processing about human being, things and service without explicit mutual cooperation of human being. Lately many IoT groups such as AllSeen Alliance, OIC launched a platform for IoT. Self-adaptive is aimed at implementation without the need for decisions of human being during the operation, so that the machine can respond to changes in its own determination. There is a need to apply the concept of self-adaptive to existing IoT and IoT platform. So In this paper, We look for trends of existing IoT, IoT platform and comparisons by applying a self-adaptive concept to IoT, IoT platform. In addition as an example of this paper, we suggest lacking self-adaptive elements to OIC.

Adaptive Cooperative Relay Transmission Technique Using Closed-loop MIMO Scheme for Duplex Communication System (양방향 통신 시스템에서 폐회로 다중 안테나 기법을 적용한 적응형 협동 중계 전송 기술)

  • Lee, Kwan-Seob;Kim, Young-Ju
    • Journal of Broadcast Engineering
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    • v.15 no.2
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    • pp.157-162
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    • 2010
  • In this paper, We propose that the adaptive cooperative relay transmission technique using closed-loop MIMO scheme for duplex communication system. As the mobility between relay and base station is little, closed-loop MIMO is better diversity gain than open-loop MIMO. At this time, more than one relaying terminals are included in one cooperative group to share their transmission and take precoding weight feedback. For minimization of throughput reduction caused by increasing feedback bits, we use codebook-based MRT that limit the number of feedback bits. Among the cooperative relay group, the best relays are selected from the base stataion and get the feedback. A protocol senarios are also proposed for this relay system.

A Queue Management Mechanism for Service groups based on Deep Reinforcement Learning (심층강화학습 기반 서비스 그룹별 큐 관리 메커니즘)

  • Jung, Seol-Ryung;Lee, Sung-Keun
    • The Journal of the Korea institute of electronic communication sciences
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    • v.15 no.6
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    • pp.1099-1104
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    • 2020
  • In order to provide various types of application services based on the Internet, it is ideal to guarantee the quality of service(QoS) for each flow. However, realizing these ideas is not an easy task.. It is effective to classify multiple flows having the same or similar service quality requirements into same group, and to provide service quality for each group. The queue management mechanism in the router plays a very important role in order to efficiently transmit data and to support differentiated quality of service for each service. In order to efficiently support various multimedia services, an intelligent and adaptive queue management mechanism is required. This paper proposes an intelligent queue management mechanism based on deep reinforcement learning that decides whether to deliver packets for each group based on the traffic information of each flow group flowing in for a certain period of time and the current network state information.

Adaptive SFBC-OFDM with Pre-equalizer under Time-varying Multipath Fading Channel (시변 다중 경로 페이딩 환경에서 사전 등화기 기반 적응 변조 SFBC-OFDM 시스템에 관한 연구)

  • 고정선;김낙명
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.6A
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    • pp.623-630
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    • 2004
  • The adaptive modulation along with SFBC transmit diversity is a very effective method to increase the capacity of an OFDM system. However, severe performance degradation is resulted when inter-symbol interference is applied due to frequency-selective fading in mobile communications. In this paper, we have proposed and analyzed an OFDM system with SFBC transmit diversity and adaptive modulation scheme based on pre-equalization methods, in order to increase the data transmission rate in the downlink without much increase in system complexity. By introducing subchannel grouping and the pre-equalization method among adjacent subchannels, we could enhance the efficiency of the adaptive modulation a lot. By computer simulation, it has been proven that the proposed schemes show a better BER and throughput performance than the conventional schemes under severely time-varying multipath fading channel.