• Title/Summary/Keyword: TCRM

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TCRM-DS Scheme for Real-Time Video Communication Scheme in ATM Network (ATM 네트웍에서 실시간 화상통신을 위한 TCRM-DS 정책)

  • 이정환;박윤석;신규철;박연희;김명준
    • Proceedings of the Korean Information Science Society Conference
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    • 1999.10c
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    • pp.399-401
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    • 1999
  • 최근 컴퓨터 네트워크를 통한 화상회의, 화상전화 VOD 등과 같은 응용 프로그램들이 실시간 통신을 필요로 한다. 이러한 실시간 통신에 적합한 ATM은 유연한 통신 서비스와 높은 질의 서비스를 제공함으로서 차세대 통신 네트웍으로 기대가 되고 있다. ATM 네트웍 막에서 실시간 통신을 하기 위해서는 실시간 데이터들이 지연한계를 만족해야 한다. 만약 이러한 지연한계를 만족시키지 못할 경우에는 서비스의 질이 떨어지거나 아니면 데이터가 아예 필요가 없어지게 된다. 이미 실시간 통신을 하기 위해 Virtual Clock, Stop-and-Go, EDF 등에 많은 패킷 스위치 스케줄링 정책들이 개발 되어져 왔다. 그러나 이러한 스위치 스케줄링 정책들은 대부분 그 방법의 복잡성 때문에 실제로 ATM 상에서 적용시키기가 힘들다. 본 논문에서는 ATM 네트웍 망에서 화상 통신을 하기 위해 적합한 새로운 스위치 모델인 TCRM-DS를 제시한다. TCRM-DS는 기존의 TCRM 모델의 장점인 단순성과 효율성을 그대로 유지하면서 TCRM 모델의 단점인 비 실시간 데이터에 대한 비효율적 처리를 개선한 것이다.

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An improved TCRM scheme for Real-Time data service in wireless networks (무선망에서 실시간 데이터 서비스를 위한 개선된 TCRM 정책)

  • Min, Seung-Hyun;Lee, Hyun-Jung;Kim, Myung-Jun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2001.10b
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    • pp.1363-1366
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    • 2001
  • 최근 무선 통신 기술의 발전으로 다양한 형태의 멀티미디어 데이터 서비스를 추구하고 있다. 유선 ATM망에서 제공되는 다양한 멀티미디어 데이터 서비스를 무선 ATM망에서까지 확장 지원하는 연구가 세계적으로 진행되고 있다. 무선망에서는 제한된 대역폭, 높은 비트 에러율, 이동성이라는 특수성을 고려한 실시간 데이터 서비스를 위한 방안이 필요하다. 이러한 방안으로 유선 망에서 적용되고 있는 TCRM 스케줄링 정책의 단점을 보안한 개선된 TCRM 스케줄링 정책을 무선 망에서 적용하는 방안을 제안한다.

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Streaming Service Scheduling Scheme in Mobile Networks (모바일환경에서 실시간 데이타서비스를 위한 스케줄링 정책)

  • Min Seung-Hyun;Kim Myung-Jun;Bang Kee-Chun
    • Journal of Digital Contents Society
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    • v.3 no.1
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    • pp.47-57
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    • 2002
  • Recently, wireless networks have been pursuing multimedia data service as voice, data, image, video and various form of data according to development of information communication technology. It guarantees cell delivery delay of real time data in efficient real time multimedia data transfer. Also, it minimizes cell loss rate of non-real time multimedia data. In the wireless ATM, there are based on Asynchronous Transfer Mode(ATM). It implies that there are various service with difficult transmission rates and qualities in the wireless communication network. As a result, it is important to find out the ways to guarantee the Quality of Service(QoS) for each kind of traffic in wireless network. In this thesis, we propose an improved TCRM scheduling algorithms for transmission real-time multimedia data service in wireless ATM Networks. We appear real time multimedia scheduling policy that apply each different method to uplink and downlik to wireless ATM network. It can guarantee QoS requirements for each real time data and non-real time data. It also deals the fairness problem for sharing the scarce wireless resources. We solve fault of TCRM as inefficient problem of non-real data by using arbitrary transmission speed and RB(Reservation Buffer) through VC(Virtual Control) and BS(Base Station).

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Real-time Multimedia data service scheduling in Wireless ATM Netsworks (무선 ATM망에서 실시간 멀티미디어 데이터 서비스를 위한 스케줄링 정책)

  • 민승현;이현정;이정환;신규철;김명준
    • Proceedings of the Korean Information Science Society Conference
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    • 2001.10c
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    • pp.814-816
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    • 2001
  • 최근 정보 통신 기술의 발전에 따라 음성 서비스 등과 같은 단일 서비스를 제공하던 무선 통신망이 음성, 데이터, 고화질 정지화면, 동영상 및 다양한 정보형태의 멀티미디어 데이터 서비스를 추구하고 있다. 효율적인 실시간 멀티미디어 데이터 전송을 위해서는 실시간 데이터의 지연한계를 보장하고 비 실시간 멀티미디어 데이터들의 데이터 손실을 최소화해야 한다. 무선 ATM망은 기본적으로 ATM 전송방식을 사용하고 있지만 유선 ATM망에 비해 제한된 대역폭파 높은 전송지연, 비트 에러율과 이동성이라는 특수성을 고려하여 유선 ATM망과 많은 차이가 있다. 무선 ATM망에서 실시간 멀티미디어 데이터 서비스 전송을 위한 스케줄링 방법으로 유선 ATM망에서 실시간 멀티미디어 데이터 서비스를 위해 적용되는 TCRM(Traffic-Controlled Rate Monotonic Priority scheduing)정책을 Uplink 와 Downlink 시 각각 다른 방법으로 적용하여 실시간 멀티미디어 데이터 전송 스케줄링 정clr을 제안하고, 예약버퍼(reservation buffer) 와 임의의 전송 속도 P$_{k}$ 를 사용하여 TCRM의 단점인 비 실시간 데이터에 대한 비효율성 문제 해결안을 제시한다.

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Long-Term Acceptance of Fully Mhc-Mismatched Limb Allografts after a Short Course of Anti-${\alpha}{\beta}$-T Cell Receptor Monoclonal Antibody and FK506

  • Kanatani, Takako;Fujioka, H.;Lanzetta, M.;Kurosaka, M.;Matsumoto, T.;Bishop, G.A.
    • Archives of Reconstructive Microsurgery
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    • v.18 no.1
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    • pp.9-15
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    • 2009
  • Whether a seven days course of anti-${\alpha}{\beta}$-T cell receptor-antibody (${\alpha}{\beta}$-TCRmAb) combined with FK506 therapy promotes survival of limb allografts in fully MHC-mismatched combination (Brown Norway $\rightarrow$ Lewis) was examined. Eight animals received 250 ${\mu}g$/kg/day of ${\alpha}{\beta}$-TCRmAb for 7 days and 2 mg/kg/day of FK506 postoperatively (Combination therapy group). Eight animals had FK506 only (Mono-therapy group) and five animals did not have treatment (Control group). Clinical signs of early rejection with edema or erythema in the skin occurred at an average of 8.6${\pm}$1.5 days postoperatively in Control group and 59.0${\pm}$8.3 days in Mono-therapy group, both of which proceeded to irreversible rejection with necrosis of the epidermis and finally mummification. In Combination therapy group, all animals showed evidence of early rejection at an average of 56.8${\pm}$12.6 days postoperatively, however, in 4 of 8 limbs, early rejection resolved without any treatment and limbs survived >1 year. At 9 months postoperatively, donor skin grafts were accepted and third-party skin grafts were rejected by all four survivors, demonstrating donor-specific tolerance. Little or no detectable chimerism was observed in any of the 4 surviving animals at one-year postoperatively. Combination therapy of ${\alpha}{\beta}$-TCRmAb and FK506 resulted in long-term survival in fully MHC-mismatched limb transplants.

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Estimation of Frequency of Storm Surge Heights on the West and South Coasts of Korea Using Synthesized Typhoons (확률론적 합성태풍을 이용한 서남해안 빈도 해일고 산정)

  • Kim, HyeonJeong;Suh, SeungWon
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.31 no.5
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    • pp.241-252
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    • 2019
  • To choose appropriate countermeasures against potential coastal disaster damages caused by a storm surge, it is necessary to estimate the frequency of storm surge heights estimation. As the coastal populations size in the past was small, the tropical cyclone risk model (TCRM) was used to generate 176,689 synthetic typhoons. In simulation, historical paths and central pressures were incorporated as a probability density function. Moreover, to consider the typhoon characteristics that resurfaced or decayed after landfall on the southeast coast of China, incorporated the shift angle of the historical typhoon as a function of the probability density function and applied it as a damping parameter. Thus, the passing rate of typhoons moving from the southeast coast of China to the south coast has improved. The characteristics of the typhoon were analyzed from the historical typhoon information using correlations between the central pressure, maximum wind speed ($V_{max}$) and the maximum wind speed radius ($R_{max}$); it was then applied to synthetic typhoons. The storm surges were calculated using the ADCIRC model, considering both tidal and synthetic typhoons using automated Perl script. The storm surges caused by the probabilistic synthetic typhoons appear similar to the recorded storm surges, therefore this proposed scheme can be applied to the storm surge simulations. Based on these results, extreme values were calculated using the Generalized Extreme Value (GEV) method, and as a result, the 100-year return period storm surge was found to be satisfactory compared with the calculated empirical simulation value. The method proposed in this study can be applied to estimate the frequency of storm surges in coastal areas.

Prediction of Storm Surge Height Using Synthesized Typhoons and Artificial Intelligence (합성태풍과 인공지능을 활용한 폭풍해일고 예측)

  • Eum, Ho-Sik;Park, Jong-Jib;Jeong, Kwang-Young;Park, Young-Min
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.26 no.7
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    • pp.892-903
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    • 2020
  • The rapid and accurate prediction of storm-surge height during typhoon attacks is essential in responding to coastal disasters. Most methods used for predicting typhoon data are based on numerical modeling, but numerical modeling takes significant computing resources and time. Recently, various studies on the expeditious production of predictive data based on artificial intelligence have been conducted, and in this study, artificial intelligence-based storm-surge height prediction was performed. Several learning data were needed for artificial intelligence training. Because the number of previous typhoons was limited, many synthesized typhoons were created using the tropical cyclone risk model, and the storm-surge height was also generated using the storm surge model. The comparison of the storm-surge height predicted using artificial intelligence with the actual typhoon, showed that the root-mean-square error was 0.09 ~ 0.30 m, the correlation coefficient was 0.65 ~ 0.94, and the absolute relative error of the maximum height was 1.0 ~ 52.5%. Although errors appeared to be somewhat large at certain typhoons and points, future studies are expected to improve accuracy through learning-data optimization.

Alleviating Semantic Term Mismatches in Korean Information Retrieval (한국어 정보 검색에서 의미적 용어 불일치 완화 방안)

  • Yun, Bo-Hyun;Park, Sung-Jin;Kang, Hyun-Kyu
    • The Transactions of the Korea Information Processing Society
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    • v.7 no.12
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    • pp.3874-3884
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    • 2000
  • An information retrieval system has to retrieve all and only documents which are relevant to a user query, even if index terms and query terms are not matched exactly. However, term mismatches between index terms and qucry terms have been a serious obstacle to the enhancement of retrieval performance. In this paper, we discuss automatic term normalization between words in text corpora and their application to a Korean information retrieval system. We perform two types of term normalizations to alleviate semantic term mismatches: equivalence class and co-occurrence cluster. First, transliterations, spelling errors, and synonyms are normalized into equivalence classes bv using contextual similarity. Second, context-based terms are normalized by using a combination of mutual information and word context to establish word similarities. Next, unsupervised clustering is done by using K-means algorithm and co-occurrence clusters are identified. In this paper, these normalized term products are used in the query expansion to alleviate semantic tem1 mismatches. In other words, we utilize two kinds of tcrm normalizations, equivalence class and co-occurrence cluster, to expand user's queries with new tcrms, in an attempt to make user's queries more comprehensive (adding transliterations) or more specific (adding spc'Cializationsl. For query expansion, we employ two complementary methods: term suggestion and term relevance feedback. The experimental results show that our proposed system can alleviatl' semantic term mismatches and can also provide the appropriate similarity measurements. As a result, we know that our system can improve the rctrieval efficiency of the information retrieval system.

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