• Title/Summary/Keyword: Monitoring Network

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Dynamic Bandwidth Allocation Algorithm of XG-PON using Traffic Monitoring (Traffic Monitoring 방식의 XG-PON 동적대역할당 방법)

  • Hong, Sung Hark;Han, Man Soo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.05a
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    • pp.705-706
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    • 2014
  • This paper proposes a new dynamic bandwidth allocation algorithm for an XG-PON (10-Gbps-capable passive optical network) system. In the XG-PON system, an ONU (optical network unit) does not explicitly send it request to an OLT (optical line termination). The OLT monitors the upstream bandwidth usage of the ONU to estimate the request of the ONU. Then the OLT performs a dynamic bandwidth allocation process based on the estimated requests.

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Dynamic Bandwidth Allocation Algorithm of XG-PON using Traffic Monitoring (Traffic Monitoring을 이용한 XG-PON 동적대역할당 알고리즘)

  • Hong, Sung Hark;Han, Man Soo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.10a
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    • pp.152-153
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    • 2014
  • This paper proposes a new dynamic bandwidth allocation algorithm for an XG-PON (10-Gbps-capable passive optical network) system in which an ONU (optical network unit) does not explicitly send its request to an OLT (optical line termination). To estimate the request of the ONU, the OLT monitors the upstream bandwidth usage of the ONU and periodically allocates a probe slot to the ONU.

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Applicaion of Neural Network for Machine Condition Monitoring and Fault Diagnosis (기계구동계의 손상상태 모니터링을 위한 신경회로망의 적용)

  • 박흥식;서영백;조연상
    • Tribology and Lubricants
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    • v.14 no.3
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    • pp.74-80
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    • 1998
  • The morphologies of the wear particles are directly indicative of wear process occuring in the machine. The analysis of wear particle morphology can therefore provide very early detection of a fault and can also ofen facilitate a dignosis. For this work, the neural network was applied to identify friction coefficient through four shape parameters (50% volumetric diameter, aspect, roundness and reflectivity) of wear debris generated from the machine. The averages of these parameters were used as inputs to the network. It is shown that collect identification of friction coefficient depends on the ranges of these shape parameters learned. The various kinds of the wear debris had a different pattern characteristics and recognized relation between the friction condition and materials very well by neural network. We discuss how the network determines difference in wear debris feature, and this approach can be applied for machine condition monitoring and fault diagnosis.

Study on Internet of Things Based Low-Power Wireless Sensor Network System for Wild Vegetation Communities Ecological Monitoring (야생식생군락 생태계 모니터링을 위한 사물인터넷 기반의 저전력 무선 센서네트워크 시스템에 관한 연구)

  • Kim, Nae-Soo;Lee, Kyeseon;Ryu, Jaehong
    • Journal of Information Technology Services
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    • v.14 no.1
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    • pp.159-173
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    • 2015
  • This paper presents a study on the Internet of Things based low-power wireless sensor networks for remote monitoring of wildlife ecosystem due to climate change. Especially, it is targeting the wild vegetation communities ecological monitoring. First, we performed a pre-test and analysis for selecting the appropriate frequency for the sensor network to collect and deliver information reliably in harsh propagation environment of the forest area, and selected for sensors for monitoring wild vegetation communities on the basis of considerations for selecting the best sensor. In addition, we have presented the platform concept and hierarchical function structures for effectively monitoring, analyzing and predicting of ecosystem changes, to apply the Internet of Things in the ecological monitoring area. Based on this, this paper presents the system architecture and design of the Internet of Things based low-power wireless sensor networks for monitoring the ecosystem of the wild vegetation communities. Finally, we constructed and operated the test-bed applied to real wild trees, using the developed prototype based on the design.

Monitoring Systems for Embedded Equipment in Ubiquitous Environments

  • Bae, Ji-Hye;Kang, Hee-Kuk;Park, Yoon-Young;Park, Jung-Ho
    • Journal of Information Processing Systems
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    • v.2 no.1
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    • pp.58-65
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    • 2006
  • Accurate and efficient monitoring of dynamically changing environments is one of the most important requirements for ubiquitous network environments. Ubiquitous computing provides intelligent environments which are aware of spatial conditions and can provide timely and useful information to users or devices. Also, the growth of embedded systems and wireless communication technology has made it possible for sensor network environments to develop on a large scale and at low-cost. In this paper, we present the design and implementation of a monitoring system that collects, analyzes, and controls the status information of each sensor, following sensor data extracted from each sensor node. The monitoring system adopts Web technology for the implementation of a simple but efficient user interface that allows an operator to visualize any of the processes, elements, or related information in a convenient graphic form.

Problems and Improvements in the Quality Control of the Air Monitoring Network (대기오염측정망 정도관리의 문제점과 개선방향)

  • Kim, Duck-Sung;Park, Jeong-Ho
    • Journal of Environmental Science International
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    • v.29 no.8
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    • pp.847-855
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    • 2020
  • This study presented problems and improvements in the quality control of an air monitoring network, using Gyeongnam as an example. 1) The effective utilization rate of the air monitoring was 95%, which showed good management, but the maximum of 2% was indicated by zero or detection limit among measurement data. 2) In the equivalence evaluation of PM2.5, the slope and intercept satisfy the evaluation criteria; however, 1% of the PM2.5/PM10 ratios were outliers. 3) All air monitoring stations meet the quality control standards; however, the management status is added to the quality inspection, management system is unified and the related budget is expanded, and systematic commission management is required.

A Study on a Internet Remote Control and Monitoring System using a Microprocessor Embedded Controller (마이크로프로세서를 이용한 인터넷 원격감시제어 시스템에 관한 연구)

  • 서인호;유영호
    • Journal of Advanced Marine Engineering and Technology
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    • v.25 no.4
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    • pp.869-879
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    • 2001
  • Serial communications such as RS-232C or RS-485 have been used to control and monitor the industrial plants for a long in cooperating with a computer or microprocessor. In recent years a great deal of effort has been made to achieve these control and monitoring through Internet network. This paper proposes a microprocessor system to implement remote control and monitoring system through Internet network. The proposed system uses NE2000 compatible NIC for data link and physical layer to access Internet network The microprocessor employed in the system plays a role of interfacing NE2000 compatible NIC interpreting protocols above link layer, controlling and monitoring industrial plants simultaneously. This paper also shows MMI and experimental results which control and monitor two power plants on the computer monitor with a mouse remotely to verify the proposed.

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Flow monitoring based on hop-count and accuracy in software defined network (소프트웨어 정의 네트워크 환경에서 hop-count와 정확도를 고려한 flow monitoring 방법)

  • Kwon, Hyun-Hoo;Do, Misol;Yeom, Sanggil;Choo, Hyunseung
    • Annual Conference of KIPS
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    • 2015.10a
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    • pp.413-414
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    • 2015
  • SDN은 네트워크 장비의 control plane과 data plane을 분리하고, 중앙의 컨트롤러를 통해 네트워크를 제어한다. 네트워크 운영에서 monitoring은 필수적인 요소이며, SDN 환경에서의 기존의 monitoring 방법인 OpenTM은 in-band network 환경을 고려하지 않았다. 본 논문은 in-band network 환경에서 hop-count와 정확도를 고려하여 높은 정확도를 유지하면서도 네트워크 부하를 줄일 수 monitoring 방법을 제안한다.

In-process Monitoring of Milling Chatter by Artificial Neural Network (신경회로망 모델을 이용한 밀링채터의 실시간 감시에 대한 연구)

  • Yoon, Sun-Il;Lee, Sang-Seog;Kim, Hee-Sool
    • Journal of the Korean Society for Precision Engineering
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    • v.12 no.5
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    • pp.25-32
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    • 1995
  • In highly automated milling process, in-process monitoring of the malfunction is indispensable to ensure efficient cutting operation. Among many malfunctions in milling process, chatter vibration deteriorates surface finish, tool life and productivity. In this study, the monitoring system of chatter vibration for face milling process is proposed and experimentally estimated. The monitoring system employs two types of sensor such as cutting force and acceleration in sensory detection state. The RMS value and band frequency energy of the sensor signals are extracted in time domain for the input patterns of neural network to reduce time delay in signal processing state. The resultes of experimental evaluation show that the system works well over a wide range of cutting conditions.

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