• 제목/요약/키워드: Task switching

검색결과 91건 처리시간 0.022초

MPLS 망에서 복수 연결해제 타이머를 이용한 레이블 공간의 효율적 사용방법 (An Algorithm for Efficient use of Label Space over MPLS Network with Multiple Disconnent Timers)

  • 이선우;변태영;한기준;정연쾌
    • 한국정보과학회논문지:정보통신
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    • 제29권1호
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    • pp.24-30
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    • 2002
  • 레이블 스위칭 기술은 격증하는 인터넷 서비스의 요구 대역폭을 만족시키기 위해 개발된 기술이다. 이중 multiprotocol label switching(MPLS)은 기존의 레이블 스위칭 기술을 통합하고 여러 장비제조 업체들간의 호환성을 보장하기 위해 IETF(Internet engineering task force)를 중심으로 표준화가 진행중이다. MPLS에서 레이블은 패킷의 스위칭에 사용되는 기본적인 단위이므로 이러한 레이블 공간이 각 레이블 스위칭 라우터를 어떻게 관리되고 효율적으로 사용되는가에 따라 MPLS망의 성능에 큰 영향을 미친다. 본 논문에서는 이러한 레이블 공간을 효율적으로 사용하기 위해 다중 도메인에서 레이블 스위칭 라우터의 연결 해제 타이머의 복수 사용을 제안한다. 이 방법은 패킷 분류기를 통해 트래픽의 특성에 따라 등급이 높은 트래픽에 대해서는 상대적으로 긴 연결 해제 타이머를 할당하여 새로운 연결에 걸리는 지연시간을 줄이고 3계층으로 라우팅 되는 패킷의 양을 줄이는 것이다. 제안된 방법을 실제 인터넷 망에서 수집된 트래픽 자료를 이용하여 시뮬레이션을 수행하였고 그 결과 MPLS망의 동작에 필요한 레이블 공간이 기존의 방법보다 감소하였음을 확인하였다.

동적 MAP 전환을 이용한 Inter-MAP Handover 알고리듬 (DMS) (An Inter-MAP Handover Algorithm with Dynamic MAP Switching (DMS))

  • 박홍길;이현호;김태현;박효순;이재용
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2003년도 추계학술발표논문집 (중)
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    • pp.899-902
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    • 2003
  • 무선 환경에서의 실시간 서비스의 확대와 노드의 이동성 증가에 따라 handover 시 발생되는 패킷 손실과 지연으로 인한 실시간 서비스의 중단이 해결해야 할 중요한 문제점이 되고 있다. 본 논문에서는 IETF (Internet Engineering Task Force)의 중요한 마이크로 이동성 프로토콜인 HMIPv6의 기본 동작을 설명하고, 여전히 문제점으로 남아있는 Inter-MAP (Mobility Anchor Point) handover의 성능을 향상시키기 위한 Dynamic MAP Switching handover 알고리듬을 제안한다. 제안한 알고리듬은 인접한 MAP 도메인을 중첩되게 설정하고 Inter-MAP handover가 발생되기 전에 미리 MAP을 switching한다. 따라서 Inter-MAP handover가 발생하지 않도록 함으로써 handover 시 발생하는 데이터의 손실 및 지연을 감소시킬 수 있다. 제안된 알고리듬의 성능 향상은 산술적 분석을 통하여 검증한다.

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네트워크 화일 시스템상에서 이동통신교환기 소프트웨어의 컴파일 관리 (Compilation management of the mobile switching software on network file system)

  • 신재욱;박광로
    • 한국통신학회논문지
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    • 제22권1호
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    • pp.173-184
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    • 1997
  • 교환 소프트웨어의 규모가 커짐에 따라 이를 컴파일하고 관리하는 데에 많은 시간과 노력이 소요되고 있다. 본 논문에서는 네트워크 화일 시스템상에서 이동통신교환기 소프트웨어의 컴파일을 관리하는 시스템을 구현하고 그 구성 및 기능에 대해 기술하였다. 제안된 컴파일 관리 시스템은 네트워크 화일 시스템으로 구성된 각 시스템에 컴파일 작업을 균등하게 배분하여 분산적으로 수행하게 하고, 컴파일을 수행하는 시스템 및 컴파일 관리자와 소프트웨어 개발자간의 작업 흐름을 원활하게 관리함으로써 전체 컴파일 작업에 소요되는 시간을 크게 감소시켰다.

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Distributed and Weighted Clustering based on d-Hop Dominating Set for Vehicular Networks

  • Shi, Yan;Xu, Xiang;Lu, Changkai;Chen, Shanzhi
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권4호
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    • pp.1661-1678
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    • 2016
  • Clustering is one of the key technologies in vehicular networks. Constructing and maintaining stable clusters is a challenging task in high mobility environments. DWCM (Distributed and Weighted Clustering based on Mobility Metrics) is proposed in this paper based on the d-hop dominating set of the network. Each vehicle is assigned a priority that describes the cluster relationship. The cluster structure is determined according to the d-hop dominating set, where the vehicles in the d-hop dominating set act as the cluster head nodes. In addition, cluster maintenance handles the cluster structure changes caused by node mobility. The rationality of the proposed algorithm is proven. Simulation results in the NS-2 and VanetMobiSim integrated environment demonstrate the performance advantages.

교차표와 가격표를 이용한 다중출력 이론함수의 최소화 (Minimization of the Multi-Output Switching Function by using the Intersection Table and the Cost Table)

  • 황희융;김호겸;박영철;조동섭
    • 전기의세계
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    • 제28권12호
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    • pp.33-40
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    • 1979
  • 다중출력의 이론함수는 입력변수와 출력함수가 증가함에 따라 복잡해지는데, 본논문에서는 공통된 민텀을 직접 볼 수 있는 교차표를 만들고 이를 이용하여 가격표를 구성한 다음 각 출력에 대한 Prime implicant를 선택하고 있기 때문에 설계의 복잡성을 제거할 수 있다. 본 과정은 쉽게 손으로 처리되며 또한 컴퓨터로도 처리될 수 있는데 컴퓨터 프로그래밍은 FORTRAN IV 언어로 짜서 결과를 확인하였다.

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인간-로봇 팀의 조절가능 자율도 구현에서 무결절 전환 (Seamless Switching in the Implementation of the Adjustable Autonomy of Human-Robot Teams)

  • 조혜경
    • 제어로봇시스템학회논문지
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    • 제13권1호
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    • pp.65-71
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    • 2007
  • Adjustable autonomy architecture provides various ways for a human operator to participate as a member of a human-robot team in improving the performance of the team by resolving issues that the robots cannot deal with or performing tasks that the robots alone would unable to do. According to the level of involvement of the human operator, the robots have to adjust their level of autonomy and, in consequence, the operation mode of the overall system shifts. This paper deals with the implementation issues of seamless switching when the level of autonomy of the human-robot team shifts from one level to another. Especially, we focus on developing reliable methods for monitoring the task progress and maximizing the system flexibility by coping with the detailed differences between humans and robots in their characteristics of motions and their choices of positions, paths, and sequences of sub-goals to achieve a given task. To test and motivate the proposed methods, we have assembled three heterogeneous robots which work together to dock both ends of a suspended beam into stanchions.

반강제적 환경에서 정보시스템 의존에 미치는 영향요인 연구: 공공기관 KMS 활용 사례와 전환비용의 매개적 역할을 중심으로 (A Study on Acceptance Promotion of Information Systems under the Semi-Mandatory Circumstance: From the Perspective of Switching Costs Applied to the KMS of a Public Organization)

  • 서현식;송인국
    • 한국정보시스템학회지:정보시스템연구
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    • 제21권2호
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    • pp.45-71
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    • 2012
  • The purpose of the study is to propose the plans promoting IS acceptances under the circumstances where the IS usage is semi-mandatory. Since the IS usage is critical to secure the organization's competitiveness, many researchers have endeavored to investigate the factors in promoting IS acceptance. While TAM(Technology Acceptance Model) has been generally applied under the voluntary circumstance, under the mandatory circumstance did many researchers come to realized the limit of applying the TAM on IS acceptance. This resulted in various research trials to identify the IS acceptance under the mandatory circumstance. However, no research to promoting IS acceptance under the recommend circumstance where the corresponding users are recommend to the IS rather than alternative systems exits. The study applied the concept of switching costs to the research model, identified users' acceptance variations, and finally proposed the promotion plans for IS acceptance. The findings illustrate that IS dependence levels tend to be increased when both user satisfactions from a psychological perspective and monetary benefits from an economic perspective make the switching costs higher. The study stresses that organizations should provide information systems which reduce users' time, costs, and endeavors in performing their tasks, rather than require to use them by compulsion.

Rules Placement with Delay Guarantee in Combined SDN Forwarding Element

  • Qi, Qinglei;Wang, Wendong;Gong, Xiangyang;Que, Xirong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권6호
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    • pp.2870-2888
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    • 2017
  • Recent studies have shown that the flow table size of hardware SDN switch cannot match the number of concurrent flows. Combined SDN Forwarding Element (CFE), which comprises several software switches and a hardware switch, becomes an alternative approach to tackle this problem. Due to the limited capacity of software switch, the way to route concurrent flows in CFE can largely affect the maximum delay that a flow suffers at CFE. As delay-guarantee is a nontrivial task for network providers with the increasing number of delay-sensitive applications, we propose an analytical model of CFE to evaluate a rules placement solution first. Next, we formulate the problem of Rules Placement with delay guarantee in CFE (RPCFE), and present the genetic-based rules placement (GARP) algorithm to solve the RPCFE problem. Further, we validate the analytical model of CFE through simulations in NS-3 and compare the performance of GARP with three benchmark algorithms.

다채널 미세전극칩 임피던스 분석을 위한 자동 스위칭 시스템: 한계점 및 개선 방안 (Automatic Switching System for The Impedance Analysis of Multichannel icroelectrode Arrays: Limits and Improvement Scheme)

  • 이석영;남윤기
    • 대한의용생체공학회:의공학회지
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    • 제32권3호
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    • pp.207-217
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    • 2011
  • Electrode impedances are measured to quantitatively characterize the electrode-electrolyte or cell-electrode interfaces. In the case of high-density microelectrode arrays(MEAs) that have been developed for brainmachine interface applications, the characterization process becomes a repeating and time-consuming task; a system that can perform the measurement and analysis in an automated fashion with accuracy and speed is required. However, due to the large number of channels, parasitic capacitance and off-capacitance components of the switching system become the major factors that decreased the accuracy for the measurement of high impedance microelectrodes. Here we investigated the implementation of automatic impedance measurement system with analyzing the causes of possible measurement-related problems in multichannel switching configuration. Based on our multi-channel measurement circuit model, we suggest solutions to the problems and introduce a novel impedance measurement scheme using electro-mechanical relays. The implemented measurement system could measure |Z| < 700 $k{\Omega}$ of impedance in - 10% errors, which can be widely applicable to high density neural recording MEAs.

Machine Learning Algorithm Accuracy for Code-Switching Analytics in Detecting Mood

  • Latib, Latifah Abd;Subramaniam, Hema;Ramli, Siti Khadijah;Ali, Affezah;Yulia, Astri;Shahdan, Tengku Shahrom Tengku;Zulkefly, Nor Sheereen
    • International Journal of Computer Science & Network Security
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    • 제22권9호
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    • pp.334-342
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    • 2022
  • Nowadays, as we can notice on social media, most users choose to use more than one language in their online postings. Thus, social media analytics needs reviewing as code-switching analytics instead of traditional analytics. This paper aims to present evidence comparable to the accuracy of code-switching analytics techniques in analysing the mood state of social media users. We conducted a systematic literature review (SLR) to study the social media analytics that examined the effectiveness of code-switching analytics techniques. One primary question and three sub-questions have been raised for this purpose. The study investigates the computational models used to detect and measures emotional well-being. The study primarily focuses on online postings text, including the extended text analysis, analysing and predicting using past experiences, and classifying the mood upon analysis. We used thirty-two (32) papers for our evidence synthesis and identified four main task classifications that can be used potentially in code-switching analytics. The tasks include determining analytics algorithms, classification techniques, mood classes, and analytics flow. Results showed that CNN-BiLSTM was the machine learning algorithm that affected code-switching analytics accuracy the most with 83.21%. In addition, the analytics accuracy when using the code-mixing emotion corpus could enhance by about 20% compared to when performing with one language. Our meta-analyses showed that code-mixing emotion corpus was effective in improving the mood analytics accuracy level. This SLR result has pointed to two apparent gaps in the research field: i) lack of studies that focus on Malay-English code-mixing analytics and ii) lack of studies investigating various mood classes via the code-mixing approach.