• 제목/요약/키워드: Node Architecture

검색결과 489건 처리시간 0.027초

Impacts of Hierarchy in Ethernet Ring Networks on Service Resiliency

  • Lee, Kwang-Koog;Ryoo, Jeong-Dong;Kim, Young-Lok
    • ETRI Journal
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    • 제34권2호
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    • pp.199-209
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    • 2012
  • In transport networks, a multi-ring architecture is very useful to facilitate network planning and to design and provide more resilient services for customers. Unlike traditional synchronous optical network multi-rings, the service resiliency of Ethernet-based multi-rings is significantly impacted by the ring hierarchy because a link or node failure in a certain level ring triggers filtering database flush actions in all higher level rings as well as in the ring with the failure, and consequently a large amount of duplicated data frames may be flooded. In this paper, we investigate how the ring hierarchy impacts the service resiliency of multi-ring networks. Based on extensive experiments on various single- and multiple-link failures, we suggest two effective inter-ring connection rules to minimize the transient traffic and to ensure more resilient multi-ring networks. In addition, we consider a flush optimization technique called e-ADV, and show that the combination of e-ADV and multi-ring structures satisfying our inter-ring connection rules results in a more attractive survivability performance.

Evolutionary Design Methodology of Fuzzy Set-based Polynomial Neural Networks with the Information Granule

  • Roh Seok-Beom;Ahn Tae-Chon;Oh Sung-Kwun
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2005년도 춘계학술대회 학술발표 논문집 제15권 제1호
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    • pp.301-304
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    • 2005
  • In this paper, we propose a new fuzzy set-based polynomial neuron (FSPN) involving the information granule, and new fuzzy-neural networks - Fuzzy Set based Polynomial Neural Networks (FSPNN). We have developed a design methodology (genetic optimization using Genetic Algorithms) to find the optimal structure for fuzzy-neural networks that expanded from Group Method of Data Handling (GMDH). It is the number of input variables, the order of the polynomial, the number of membership functions, and a collection of the specific subset of input variables that are the parameters of FSPNN fixed by aid of genetic optimization that has search capability to find the optimal solution on the solution space. We have been interested in the architecture of fuzzy rules that mimic the real world, namely sub-model (node) composing the fuzzy-neural networks. We adopt fuzzy set-based fuzzy rules as substitute for fuzzy relation-based fuzzy rules and apply the concept of Information Granulation to the proposed fuzzy set-based rules.

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Identification of Fuzzy Systems by means of the Extended GMDH Algorithm

  • Park, Chun-Seong;Park, Jae-Ho;Oh, Sung-Kwun
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1998년도 제13차 학술회의논문집
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    • pp.254-259
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    • 1998
  • A new design methology is proposed to identify the structure and parameters of fuzzy model using PNN and a fuzzy inference method. The PNN is the extended structure of the GMDH(Group Method of Data Handling), and uses several types of polynomials such as linear, quadratic and cubic besides the biquadratic polynomial used in the GMDH. The FPNN(Fuzzy Polynomial Neural Networks) algorithm uses PNN(Polynomial Neural networks) structure and a fuzzy inference method. In the fuzzy inference method, the simplified and regression polynomial inference methods are used. Here a regression polynomial inference is based on consequence of fuzzy rules with a polynomial equations such as linear, quadratic and cubic equation. Each node of the FPNN is defined as fuzzy rules and its structure is a kind of neuro-fuzzy architecture. In this paper, we will consider a model that combines the advantage of both FPNN and PNN. Also we use the training and testing data set to obtain a balance between the approximation and generalization of process model. Several numerical examples are used to evaluate the performance of the our proposed model.

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무선 센서네트워크 기반 차량속도 측정 시스템 (Vehicle Speed Measurement System based on Wireless Sensor Network)

  • 유성은;김태홍;박태수;김대영;신창섭;성경복
    • 대한임베디드공학회논문지
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    • 제3권1호
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    • pp.42-48
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    • 2008
  • The architecture of WSN based Vehicle Speed Measurement System is presented in this paper from Telematics Sensor Network(TSN) to Management System. To verify the feasibility of the system, we implemented the vehicle speed measurement system and evaluated the accuracy of velocity measured by the system in our testbed, an old highway located near Kyungbu highway. The system performed over 95% of accuracy at 80kmph from the measurement. In addition, the battery life time of the sensor node was evaluated by simulation analysis with real measured current consumption profiles. Assuming the maximum average daily traffic in 2005, the battery life time is expected to be over 1.6 year from the simulation result.

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Through Silicon Stack (TSS) Assembly for Wide IO Memory to Logic Devices Integration and Its Signal Integrity Challenges

  • Shin, Jaemin;Kim, Dong Wook
    • 한국전자파학회지:전자파기술
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    • 제24권2호
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    • pp.51-57
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    • 2013
  • The current expanding mobile markets incessantly demands small form factor, low power consumption and high aggregate throughput for silicon-level integration such as memory to logic system. One of emerging solution for meeting this high market demand is 3D through silicon stacking (TSS) technology. Main challenges to bring 3D TSS technology to the volume production level are establishing a cost effective supply chain and building a reliable manufacturing processes. In addition, this technology inherently help increase number of IOs and shorten interconnect length. With those benefits, however, potential signal and power integrity risks are also elevated; increase in PDN inductance, channel loss on substrate, crosstalk and parasitic capacitance. This paper will report recent progress of wide IO memory to high count TSV logic device assembly development work. 28 nm node TSV test vehicles were fabricated by the foundry and assembled. Successful integration of memory wide IO chip with less than a millimeter package thickness form factor was achieved. For this successful integration, we discussed potential signal and power integrity challenges. This report demonstrated functional wide IO memory to 28 nm logic device assembly using 3D package architecture with such a thin form factor.

빅데이터 플랫폼 환경에서의 워크로드별 암호화 알고리즘 성능 분석 (Analysis of Encryption Algorithm Performance by Workload in BigData Platform)

  • 이선주;허준범
    • 정보보호학회논문지
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    • 제29권6호
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    • pp.1305-1317
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    • 2019
  • 공공기관 및 기업의 빅데이터 플랫폼 환경에서 데이터 보호를 위한 암호화는 필수적인 요소이나 실제 빅데이터 워크로드를 고려한 암호화 알고리즘에 대한 성능 검증 연구는 많이 진행되지 않았다. 본 논문에서는 몽고 DB(MongoDB) 환경에서 데이터와 노드를 추가하여 빅데이터의 6가지 워크로드별로 AES, ARIA, 3DES별로 성능 변화 추이를 분석하였다. 이를 통해 빅데이터 플랫폼 환경에서 각 워크로드 별 최적의 블록기반 암호 알고리즘이 무엇인지 확인하고, NoSQL 데이터베이스 벤치마크(YCSB)를 사용하여 데이터와 노드 구성환경에서 다양한 워크로드별로 테스트를 통해 MongoDB의 성능을 고려한 최적화된 아키텍처를 제안한다.

대용량 멀티캐스트 서버 시스템의 설계 (Design of a Large-Scale Multicast Server System)

  • 함진호
    • 한국정보통신학회논문지
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    • 제2권1호
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    • pp.87-99
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    • 1998
  • 멀티캐스팅에서는 호를 지원하는 통신용 버퍼, 프로세서의 복제능력, 전송대역폭 등의 자원을 모든 멤버들이 공유하는 까닭에 많은 멤버가 참여하게 될 때 자원의 결핍을 초래하여 서비스 품질(Quality of Service)을 보장하지 못하는 경우가 발생하게 된다. 이를 해결하기 위해서는 멀티캐스팅을 수행하는 멀티캐스터 (multicaster)들을 계층화하여 연결하고 각각의 멀티캐스터들이 처리 능력 범위 내에서 동작되도록 하는 방안이 제시되었다. 본 논문에서는 이러한 방안을 실제 시스템에서 실현하기 위하여 하이퍼큐브 형태의 초병렬컴퓨터를 기반으로 멀티캐스터를 계층화하여 다지점통신 서버를 구현하는 방안을 제시하였으며, 이때 하이퍼큐브 컴퓨터의 노드간을 연결하는 링크의 전송 트래픽이 과도하게 증대되지 않고 안정적인 값 내에 수렴하는 것을 확인함으로써 하이퍼큐브 초병렬 컴퓨터를 기반으로 대용량 다지점통신 서버를 구성할 수 있음을 입증하였다.

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노드 위치 예측을 통한 클러스터링 기반의 센서네트워크 키설정 메커니즘 (Key Establishment Mechanism for Clustered Sensor Networks Through Nodes' Location Estimation)

  • 도인실;채기준
    • 정보처리학회논문지C
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    • 제17C권2호
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    • pp.165-172
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    • 2010
  • 다양한 분야에서 응용될 수 있는 센서 네트워크 통신에 안전성을 제공하기 위해서는 센서 노드 간 pairwise 키설정이 기본이 되어야한다. 본 논문에서는 네트워크 필드를 육각형의 클러스터로 나누고 각 센서 노드마다 예상되는 위치에 따라 세 개의 서로 다른 키 정보를 사전에 나누어 주어 노드 배치 후 갖고 있는 정보를 이용하여 모든 이웃 노드와의 pairwise 키를 설정할 수 있도록 한다. 특히 키스트링 기법을 적용하여 이를 클러스터링 정보와 연계되도록 함으로써 적은 양의 정보를 가지고도 이웃한 모든 노드들 간에 pairwise 키를 설정할 수 있도록 하였다. 제안된 키설정 메커니즘을 통하여 필요한 메모리의 양을 줄이면서도 보안 강도를 높일 수 있음을 증명한다.

On the Hardware Complexity of Tree Expansion in MIMO Detection

  • Kong, Byeong Yong;Lee, Youngjoo;Yoo, Hoyoung
    • Journal of Semiconductor Engineering
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    • 제2권3호
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    • pp.136-141
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    • 2021
  • This paper analyzes the tree expansion for multiple-input multiple-output (MIMO) detection in the viewpoint of hardware implementation. The tree expansion is to calculate path metrics of child nodes performed in every visit to a node while traversing the detection tree. Accordingly, the tree-expansion unit (TEU), which is responsible for such a task, has been an essential component in a MIMO detector. Despite the paramount importance, the analyses on the TEUs in the literature are not thorough enough. Accordingly, we further investigate the hardware complexity of the TEUs to suggest a guideline for selection. In this paper, we focus on a pair of major ways to implement the TEU: 1) a full parallel realization; 2) a transformation of the formulae followed by common subexpression elimination (CSE). For a logical comparison, the numbers of multipliers and adders are first enumerated. To evaluate them in a more practical manner, the TEUs are implemented in a 65-nm CMOS process, and their propagation delays, gate counts, and power consumptions were measured explicitly. Considering the target specification of a MIMO system and the implementation results comprehensively, one can choose which architecture to adopt in realizing a detector.

CD3+/CD4+/CD5+/CD8+/CD21+/CD34-/CD45-/CD79a-/TCRαβ+/TCRγδ-/MHCII+ T-zone lymphoma in a dog with generalized lymphadenopathy: a case report

  • Shin, Sun Woo;Lim, Yu jin;Bae, Hyeona;Kim, Jihu;Cho, ARom;Park, Jinho;Lee, Dongbin;Jung, Dong-In;Kim, Sang-ki;Yu, DoHyeon
    • 대한수의학회지
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    • 제61권3호
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    • pp.21.1-21.6
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    • 2021
  • Canine T-zone lymphoma (TZL) is a mature T-cell lymphoma in dogs. The diagnosis and sub-classification are impossible without biopsy or immunophenotyping by flow cytometry. An 11-year-old, spayed, female Golden Retriever presented with lymph node enlargement. Clinical examination was consistent with canine multicentric lymphoma. However, immunophenotyping revealed positive for CD3, CD4, CD5, CD8, CD21, TCRαβ, and MHCII but negative for CD34, CD45, CD79a, and TCRγδ. Histopathology revealed lymphocytes expanding to the cortex-preserving architecture and thinning of the nodal capsule, and CD3 positive but PAX-5 negative. Owing to the indolent nature of TZL, careful monitoring approach without clinical intervention was utilized.