• 제목/요약/키워드: Network Isolation

검색결과 240건 처리시간 0.026초

Co-located and space-shared multiple-input multiple-output antenna module and its applications in 12 × 12 multiple-input multiple-output systems

  • Longyue Qu;Haiyan Piao;Guohui Dong
    • ETRI Journal
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    • 제45권2호
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    • pp.203-212
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    • 2023
  • In this study, we developed a co-located and space-shared multiple-input multiple-output (MIMO) antenna module with a modular design and high integration level. The proposed antenna pair includes a half-wavelength loop antenna and a dipole-type antenna printed on the front and back sides of a compact modular board. Owing to their modal orthogonality, these two independent antenna elements are highly self-isolated and free of additional decoupling components, even though they are assembled at the same location and within the same space. Thus, the proposed antenna is attractive in 5G MIMO systems. Furthermore, the proposed co-located and space-shared MIMO antenna module was employed in a 5G smartphone to verify their radiation and diversity performances. A 12 × 12 MIMO antenna system was simulated and fabricated using the proposed module. Based on the results, the proposed module can be employed in large-scale MIMO antenna systems for current and future terminal devices owing to its high integration, compactness, simple implementation, and inherent isolation.

감독/무감독 신경회로망을 이용한 비선형 시스템의 고장진단 (A Fault Diagnosis of Nonlinear Systems Using Supervised/Unsupervised Neural Networks)

  • 유두형;김광태;이인수
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2003년도 하계종합학술대회 논문집 V
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    • pp.2775-2778
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    • 2003
  • Neural network-based fault diagnosis algorithm to detect and isolate faults in the nonlinear systems is proposed. In the proposed method, the fault is detected when the errors between the system output and the neural network nominal system output cross a predetermined threshold. Once a fault in the system is detected, the system outputs are transferred to the fault classifier by ART2 NN (adaptive resonance theory 2 neural network) for fault isolation. From the computer simulation results, it is verified that the proposed fault diagonal method can be performed successfully to detect and isolate faults in a nonlinear system.

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무선 센서 네트워크에서의 안전한 모바일 쿼리 프로토콜 (Secure Mobile Query in Wireless Sensor Networks)

  • 임채훈
    • 정보보호학회논문지
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    • 제23권6호
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    • pp.1191-1197
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    • 2013
  • 대규모의 센서 네트워크에서는 고정된 베이스 스테이션에서 데이터를 수집하고 네트워크를 관리하는 것은 센서노드들의 제한된 에너지를 빨리 소진시켜 네트워크의 수명을 단축시키게 되므로 바람직하지 않다. 다른 여러 가지 이유로도 모바일 싱크가 널리 활용되고 있으나, 이러한 모바일 싱크에 대한 안전한 쿼리 프로토콜에 대한 연구는 그다지 많지는 않다. 본 논문에서는 모바일 싱크가 인접 센서노드들과 안전하면서도 효율적인 쿼리 세션을 수행할 수 있는 키관리 및 인증 프로토콜을 제안하고 안전성 및 효율성을 분석한다.

봉쇄를 갖는 순환 대기네트워크의 수율 분석 (Throughput Analysis for Cyclic Queueing Networks with Production Blocking)

  • 김호균;이창훈
    • 대한산업공학회지
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    • 제22권1호
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    • pp.3-15
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    • 1996
  • An approximation algorithm is presented for cyclic queueing networks with finite buffers. The algorithm decomposes the queueing network into individual queues with revised arrival and service process and revised queue capacity. Then, each queue is analyzed in isolation. The service process reflects the additional delay a unit might undergo due to blocking and the arrival process is described by a 2-phases Coxian ($C_2$) distribution. The individual queues are modelled as $C_2/C_2$/1/B queues. The parameters of the individual queues are computed approximately using an iterative scheme. The population constraint of the closed network is taken into account by ensuring that the sum of the average queue lengths of the individual queues is equal to the number of customers of the network. Extensive numerical experiments show that this method provides a fairly good estimation of the throughput.

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Hopfield 신경망에 의한 비선형 계통의 파라미터 추정 (Parameter Identification of Nonlinear Systems using Hopfield Network)

  • 이기상;박태건;함재훈
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1995년도 하계학술대회 논문집 B
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    • pp.710-713
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    • 1995
  • Hopfield networks have been applied to the problem of linear system identification. In this paper, Hopfield network based parameter identification scheme of non-linear dynamic systems is proposed. Simulation results demonstrate that Hopfield network can be used effectively for the identification of non-linear systems assuming that the system states and their time derivatives are available. Therefore, the proposed scheme can be applied in fault detection and isolation(FDI) and adaptive control of non-linear systems where the Hopfield networks perform on-line identification of system parameters.

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Cyber Threat and a Mitigation Method for the Power Systems in the Smart Grid

  • Kim, Myongsoo;Kim, Younghyun;Jeon, Kyungseok
    • Journal of Electrical Engineering and Technology
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    • 제9권3호
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    • pp.1043-1050
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    • 2014
  • Obsolescent control systems for power systems are evolving into intelligent systems and connecting with smart devices to give intelligence to the power systems. As networks of the control system are growing, vulnerability is also increasing. The communication network of distribution areas in the power system connects closely to vulnerable environments. Many cyber-attacks have been founded in the power system, and they could be more critical as the power system becomes more intelligent. From these environment, new communication network architecture and mitigation method against cyber-attacks are needed. Availability and Fault Tree analysis used to show that the proposed system enhances performance of current control systems.

그라운드 모드의 공진을 이용한 광대역 격리도를 가지는 스마트 안경용 소형 MIMO 안테나 (Compact MIMO Antenna with Wide-Band Isolation and Ground Mode Resonance for Smart Glasses)

  • 유종인;김형동
    • 한국전자파학회논문지
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    • 제29권10호
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    • pp.817-820
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    • 2018
  • 본 논문에서는 스마트 안경에서 사용가능한 2.4 GHz 무선 근거리 통신망(WLAN) 대역용 소형 다중 입력 다중 출력(MIMO) 안테나 설계 및 구현에 대한 제안을 하였다. MIMO 안테나 시스템을 소형화하기 위해서, 안테나의 그라운드면을 방사체로서 사용하였으며, T 자형의 접지면을 제안하고 있다. 광대역 격리를 특성을 확보하기 위해, 이중 공진이 그라운드 모드에서 형성되도록 한다. 하나의 공진은 T 자형 접지에 의해 생성되고, 두 번째 공진은 두 개의 급전선 사이에 슬롯과 커패시터를 추가하여 만들어진다. 구현된 안테나의 측정 결과, 반사 계수 특성은 -5.1 dB보다 작지만, 얻는 격리 특성은 -20 dB 미만이다. 다이버시티 성능은 측정된 2차원 방사 패턴을 사용하여 평가하였고, 목표 대역(2.4~2.5 GHz)에서 측정된 ECC(envelope correlation coefficients) 값은 0.1 미만이다.

Integrating Resilient Tier N+1 Networks with Distributed Non-Recursive Cloud Model for Cyber-Physical Applications

  • Okafor, Kennedy Chinedu;Longe, Omowunmi Mary
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권7호
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    • pp.2257-2285
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    • 2022
  • Cyber-physical systems (CPS) have been growing exponentially due to improved cloud-datacenter infrastructure-as-a-service (CDIaaS). Incremental expandability (scalability), Quality of Service (QoS) performance, and reliability are currently the automation focus on healthy Tier 4 CDIaaS. However, stable QoS is yet to be fully addressed in Cyber-physical data centers (CP-DCS). Also, balanced agility and flexibility for the application workloads need urgent attention. There is a need for a resilient and fault-tolerance scheme in terms of CPS routing service including Pod cluster reliability analytics that meets QoS requirements. Motivated by these concerns, our contributions are fourfold. First, a Distributed Non-Recursive Cloud Model (DNRCM) is proposed to support cyber-physical workloads for remote lab activities. Second, an efficient QoS stability model with Routh-Hurwitz criteria is established. Third, an evaluation of the CDIaaS DCN topology is validated for handling large-scale, traffic workloads. Network Function Virtualization (NFV) with Floodlight SDN controllers was adopted for the implementation of DNRCM with embedded rule-base in Open vSwitch engines. Fourth, QoS evaluation is carried out experimentally. Considering the non-recursive queuing delays with SDN isolation (logical), a lower queuing delay (19.65%) is observed. Without logical isolation, the average queuing delay is 80.34%. Without logical resource isolation, the fault tolerance yields 33.55%, while with logical isolation, it yields 66.44%. In terms of throughput, DNRCM, recursive BCube, and DCell offered 38.30%, 36.37%, and 25.53% respectively. Similarly, the DNRCM had an improved incremental scalability profile of 40.00%, while BCube and Recursive DCell had 33.33%, and 26.67% respectively. In terms of service availability, the DNRCM offered 52.10% compared with recursive BCube and DCell which yielded 34.72% and 13.18% respectively. The average delays obtained for DNRCM, recursive BCube, and DCell are 32.81%, 33.44%, and 33.75% respectively. Finally, workload utilization for DNRCM, recursive BCube, and DCell yielded 50.28%, 27.93%, and 21.79% respectively.

가스모니터링 시스템에서의 신경회로망 기반 센서고장진단 (Neural Network-Based Sensor Fault Diagnosis in the Gas Monitoring System)

  • 이인수;조정환;심창현;이덕동;전기준
    • 한국지능시스템학회논문지
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    • 제14권1호
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    • pp.1-8
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    • 2004
  • 본 논문에서는 실내대기 가스모니터링 시스템에서의 센서 고장 진단을 위한 신경회로망 기반 고장진단방법을 제안한다. 제안한 고장진단 방법에서는 신호패턴추출을 위해 센서히터 온도조절방법을 이용하였으며, 분류를 위해서는 ART2 신경회로망을 이용하였다. 그리고 가스모니터링 시스템의 실제 데이터를 이용한 시뮬레이션을 통해 제안한 ART2 신경회로망 기반 센서고장진단방법의 성능과 유용성을 확인하였다.

Survey on Network Virtualization Using OpenFlow: Taxonomy, Opportunities, and Open Issues

  • Abdelaziz, Ahmed;Ang, Tan Fong;Sookhak, Mehdi;Khan, Suleman;Vasilakos, Athanasios;Liew, Chee Sun;Akhunzada, Adnan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권10호
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    • pp.4902-4932
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    • 2016
  • The popularity of network virtualization has recently regained considerable momentum because of the emergence of OpenFlow technology. It is essentially decouples a data plane from a control plane and promotes hardware programmability. Subsequently, OpenFlow facilitates the implementation of network virtualization. This study aims to provide an overview of different approaches to create a virtual network using OpenFlow technology. The paper also presents the OpenFlow components to compare conventional network architecture with OpenFlow network architecture, particularly in terms of the virtualization. A thematic OpenFlow network virtualization taxonomy is devised to categorize network virtualization approaches. Several testbeds that support OpenFlow network virtualization are discussed with case studies to show the capabilities of OpenFlow virtualization. Moreover, the advantages of popular OpenFlow controllers that are designed to enhance network virtualization is compared and analyzed. Finally, we present key research challenges that mainly focus on security, scalability, reliability, isolation, and monitoring in the OpenFlow virtual environment. Numerous potential directions to tackle the problems related to OpenFlow network virtualization are likewise discussed.