• Title/Summary/Keyword: School Network

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A study on the Advanced Inference Routing NETwork scheme for RODMRP (RODMRP를 위한 진보된 추론 연결 망 구현)

  • Kim, Sun-Guk;Ji, Sam-Hyeon;Du, Gyeong-Min;Lee, Beom-Jae;Kim, Yeong-Sam;Lee, Kang-Whan
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.313-314
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    • 2008
  • Ad hoc network is a multi-hop wireless network formed with non-infrastructure. The fact that limited resource could support the network of robust, simple framework and energy conserving etc. In this paper, we propose a new ad hoc multicast routing protocol for based on the ontology scheme called inference network. Ontology knowledge-based is one of the structure of context-aware.

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Deep learning-based recovery method for missing structural temperature data using LSTM network

  • Liu, Hao;Ding, You-Liang;Zhao, Han-Wei;Wang, Man-Ya;Geng, Fang-Fang
    • Structural Monitoring and Maintenance
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    • v.7 no.2
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    • pp.109-124
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    • 2020
  • Benefiting from the massive monitoring data collected by the Structural health monitoring (SHM) system, scholars can grasp the complex environmental effects and structural state during structure operation. However, the monitoring data is often missing due to sensor faults and other reasons. It is necessary to study the recovery method of missing monitoring data. Taking the structural temperature monitoring data of Nanjing Dashengguan Yangtze River Bridge as an example, the long short-term memory (LSTM) network-based recovery method for missing structural temperature data is proposed in this paper. Firstly, the prediction results of temperature data using LSTM network, support vector machine (SVM), and wavelet neural network (WNN) are compared to verify the accuracy advantage of LSTM network in predicting time series data (such as structural temperature). Secondly, the application of LSTM network in the recovery of missing structural temperature data is discussed in detail. The results show that: the LSTM network can effectively recover the missing structural temperature data; incorporating more intact sensor data as input will further improve the recovery effect of missing data; selecting the sensor data which has a higher correlation coefficient with the data we want to recover as the input can achieve higher accuracy.

Method for Implementation of RFID/USN in Primary and Secondary School -Focused on Implementing Network- (초.중등학교 RFID/USN 구현방안 -네트워크 구축 중심으로-)

  • Park, Hyung-Yong;Chung, Jong-In;Kang, Shin-Chun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.9 no.2
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    • pp.379-387
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    • 2008
  • We proposed models that can implement RFID/USN in terms of teaching-learning part, facility management part, teacher and student management part in primary and secondary school in this study. To support these models in school network, we also proposed a new wired network model and a new wireless network model. A new wired network model is derived from existing wired school network that can apply to all sorts of models presented above. And also a new wireless network model is derived from existing wireless LAN that can solve space restriction problem. We calculated communication bandwidth according to school size and network capacity.

A Prototype Virtual Network Embedding System using OpenStack

  • Fukushima, Yukinobu;Sato, Kohei;Goda, Itsuho;Ryu, Heung-Gyoon;Yokohira, Tokumi
    • IEIE Transactions on Smart Processing and Computing
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    • v.6 no.1
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    • pp.60-65
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    • 2017
  • Network virtualization enables us to make efficient use of resources in a physical network by embedding multiple virtual networks in the physical network. In this paper, we develop a prototype of a virtual network embedding system. Our system consists of OpenStack, which is an open source cloud service platform, and shell scripts. Because OpenStack does not provide a quality of service control function, we realize bandwidth reservation for virtual links by making use of the ingress policing function of Open vSwitch, which is a virtual switch used in OpenStack. The shell scripts in our system automatically construct the required virtual network on the physical network using the OpenStack command-line interface, and they reserve bandwidth for virtual links using the Open vSwitch command. Experimental evaluation confirms that our system constructs the requested virtual network and appropriately allocates node and link resources to it.

CANCAR - Congestion-Avoidance Network Coding-Aware Routing for Wireless Mesh Networks

  • Pertovt, Erik;Alic, Kemal;Svigelj, Ales;Mohorcic, Mihael
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.9
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    • pp.4205-4227
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    • 2018
  • Network Coding (NC) is an approach recently investigated for increasing the network throughput and thus enhancing the performance of wireless mesh networks. The benefits of NC can further be improved when routing decisions are made with the awareness of coding capabilities and opportunities. Typically, the goal of such routing is to find and exploit routes with new coding opportunities and thus further increase the network throughput. As shown in this paper, in case of proactive routing the coding awareness along with the information of the measured traffic coding success can also be efficiently used to support the congestion avoidance and enable more encoded packets, thus indirectly further increasing the network throughput. To this end, a new proactive routing procedure called Congestion-Avoidance Network Coding-Aware Routing (CANCAR) is proposed. It detects the currently most highly-loaded node and prevents it from saturation by diverting some of the least coded traffic flows to alternative routes, thus achieving even higher coding gain by the remaining well-coded traffic flows on the node. The simulation results confirm that the proposed proactive routing procedure combined with the well-known COPE NC avoids network congestion and provides higher coding gains, thus achieving significantly higher throughput and enabling higher traffic loads both in a representative regular network topology as well as in two synthetically generated random network topologies.

A Study on the Direction of User Participatory Design for School using Socio-Spatial Network Analysis - Focused on the middle and high school in Seoul - (사회-공간 네트워크 분석을 활용한 학교설계 사용자 참여디자인 방향에 관한 연구 - 서울시 중, 고등학교 사례를 중심으로 -)

  • Shin, Doosik;Cho, Tae-Ho;Jeon, Young-Hoon
    • Journal of the Architectural Institute of Korea Planning & Design
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    • v.35 no.10
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    • pp.19-30
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    • 2019
  • The purpose of this study is to explore ways to efficiently capture the opinions of students who are main users in the planning, planning and design of school facilities. There are many criteria for determining good schools, but in this study, the main purpose of this study was to set up the main users as students, and to analyze the differences between the network and the actual spatial structure (network) created by the hope of students' use of school space, and the direction to overcome the differences. After surveying students' opinions about their satisfaction with school space and their desire to use school space by limiting the survey target to middle and high schools in Seoul, the 'social-space network analysis' was recently established in the social science field. As a result, it was found that the proximity of space and space desired by students in the school varied greatly depending on the geographical conditions, school districts, and the status of the current facilities, and the direction of improvement specialized for each school was found.

Tat-Mediated p66shc Transduction Decreased Phosphorylation of Endothelial Nitric Oxide Synthase in Endothelial Cells

  • Lee, Sang-Ki;Lee, Ji-Young;Joo, Hee-Kyoung;Cho, Eun-Jung;Kim, Cuk-Seong;Lee, Sang-Do;Park, Jin-Bong;Jeon, Byeong-Hwa
    • The Korean Journal of Physiology and Pharmacology
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    • v.16 no.3
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    • pp.199-204
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    • 2012
  • We evaluated the role of Tat-mediated p66shc transduction on the activation of endothelial nitric oxide synthase in cultured mouse endothelial cells. To construct the Tat-p66shc fusion protein, human full length p66shc cDNA was fused with the Tat-protein transduction domain. Transduction of TAT-p66shc showed a concentration- and time-dependent manner in endothelial cells. Tat-mediated p66shc transduction showed increased hydrogen peroxide and superoxide production, compared with Tat-p66shc (S/A), serine 36 residue mutant of p66shc. Tat-mediated p66shc transduction decreased endothelial nitric oxide synthase phosphorylation in endothelial cells. Furthermore, Tat-mediated p66shc transduction augmented TNF-${\alpha}$-induced p38 MAPK phosphorylation in endothelial cells. These results suggest that Tat-mediated p66shc transduction efficiently inhibited endothelial nitric oxide synthase phosphorylation in endothelial cells.

Home Network Control Protocol for Networked Home Appliances and Its Application

  • Lee Jae-Min;Myoung Kwan-Joo;Kim Dong-Sung;Kwon Wook-Hyun;Ko Beom-Seog;Kim Young-Man;Kim Yo-Hee
    • Journal of The Institute of Information and Telecommunication Facilities Engineering
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    • v.1 no.1
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    • pp.26-39
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    • 2002
  • This paper describes design and implementation of home network control protocol for networked home appliances. The proposed network protocol has four-layered protocol structure and device-modem interface structure for the flexibility of modems based on power line communication. The standard message set is specified to guarantee the interoperability between various home appliances The proposed protocol can be easily implemented because it has minimum network overhead.

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Sliding mode control based on neural network for the vibration reduction of flexible structures

  • Huang, Yong-An;Deng, Zi-Chen;Li, Wen-Cheng
    • Structural Engineering and Mechanics
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    • v.26 no.4
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    • pp.377-392
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    • 2007
  • A discrete sliding mode control (SMC) method based on hybrid model of neural network and nominal model is proposed to reduce the vibration of flexible structures, which is a robust active controller developed by using a sliding manifold approach. Since the thick boundary layer will reduce the virtue of SMC, the multilayer feed-forward neural network is adopted to model the uncertainty part. The neural network is trained by Levenberg-Marquardt backpropagation. The design objective of the sliding mode surface is based on the quadratic optimal cost function. In course of running, the input signal of SMC come from the hybrid model of the nominal model and the neural network. The simulation shows that the proposed control scheme is very effective for large uncertainty systems.

Design and Implementation of ONVIF Video Analytics Service for a Smart IP Network camera (Smart IP 네트워크 카메라의 비디오 내용 분석 서비스 설계 및 구현)

  • Nguyen, Vo Thanh Phu;Nguyen, Thanh Binh;Chung, Sun-Tae;Kang, Ho-Seok
    • Proceedings of the Korea Multimedia Society Conference
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    • 2012.05a
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    • pp.102-105
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    • 2012
  • ONVIF is becoming a de factor standard specification for supporting interoperability among network video products, which also supports a specification for video analytics service. A smart IP network camera is an IP network supporting video analytics. In this paper, we present our efforts in integrating ONVIF Video Analytics Service into our currently developing smart IP network camera(SS IPNC; Soongsil Smart IP Network Camera). SSIPNC supports object detection, tracking, classification, and event detection with proprietary configuration protocol and meta data formats. SSIPNC is based on TI' IPNC ONVIF implementation which supports ONVI Core specification, and several ONVIF services such as device service, imaging service and media service, but not video analytics service.

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