• Title/Summary/Keyword: data network

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Network Identification of Major Risk Factor Associated with Delirium by Bayesian Network (베이지안 네트워크를 활용한 정신장애 질병 섬망(delirium)의 주요 요인 네트워크 규명)

  • Lee, Jea-Young;Choi, Young-Jin
    • The Korean Journal of Applied Statistics
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    • v.24 no.2
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    • pp.323-333
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    • 2011
  • We analyzed using logistic to find factors with a mental disorder because logistic is the most efficient way assess risk factors. In this paper, we applied data mining techniques that are logistic, neural network, c5.0, cart and Bayesian network to delirium data. The Bayesian network method was chosen as the best model. When delirium data were applied to the Bayesian network, we determined the risk factors associated with delirium as well as identified the network between the risk factors.

Development of Platform for Connection of Electronic Power Backbone based on D-TRS (D-TRS 기반 전력기간망 접속을 위한 게이트웨이 플랫폼 개발)

  • Song, Byeong-Kwon;Lee, Sang-Hun;Jeong, Tae-Eui;Kim, Gun-Woong;Kim, Jin-Chul;Kim, Young-Eok
    • Proceedings of the KIEE Conference
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    • 2008.11a
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    • pp.382-384
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    • 2008
  • D-TRS is a method of wireless communication. This method will be able to use several frequency for multiple user used chanel together. TETRA of D-TRS technology is not rented network. Using TETRA network has the strong point which cost better than CDMA network of rental network. Master server of SCADA(Supervisory Control And Data Acquisition) system is realtime supervise control and a data acquire the control system or the RTU(Remote Terminal Unit). The present paper is developed and proposal the gateway platform for electronic power backbone network based on D-TRS. This gateway platform is converted DNP3.0 messages with TETRA PDU and converted TETRA PDU with DNP3.0 messages. Master server and FRTU will be able to send and receive DNP3.0 message via TETRA network using this gateway platform.

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Emergent damage pattern recognition using immune network theory

  • Chen, Bo;Zang, Chuanzhi
    • Smart Structures and Systems
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    • v.8 no.1
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    • pp.69-92
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    • 2011
  • This paper presents an emergent pattern recognition approach based on the immune network theory and hierarchical clustering algorithms. The immune network allows its components to change and learn patterns by changing the strength of connections between individual components. The presented immune-network-based approach achieves emergent pattern recognition by dynamically generating an internal image for the input data patterns. The members (feature vectors for each data pattern) of the internal image are produced by an immune network model to form a network of antibody memory cells. To classify antibody memory cells to different data patterns, hierarchical clustering algorithms are used to create an antibody memory cell clustering. In addition, evaluation graphs and L method are used to determine the best number of clusters for the antibody memory cell clustering. The presented immune-network-based emergent pattern recognition (INEPR) algorithm can automatically generate an internal image mapping to the input data patterns without the need of specifying the number of patterns in advance. The INEPR algorithm has been tested using a benchmark civil structure. The test results show that the INEPR algorithm is able to recognize new structural damage patterns.

Performance Analysis of Mobile IP Network Based on MPLS/WLAN for providing QoS (MPLS/WLAN기반 Mobile IP망에서 QoS 제공을 위한 성능분석)

  • Kim, Jin-Hae;Ye, Hwi-Jin;Cho, Sung-Joon
    • Journal of Advanced Navigation Technology
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    • v.12 no.6
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    • pp.591-597
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    • 2008
  • With the established voice service, the data service is increasing in the field of mobile telecommunications in these days. Also, the data service develops into the form of multimedia service which combines various media. However, it is limited to provide QoS(Quality of Service) for the multimedia using the established network which manages all the data in sam: rule. So, this paper suggests the network architecture which assures QoS of multimedia data by applying MPLS(Multi-Protocol Label Switching) to the core network. Especially, we analyze the efficiency of the network combining Mobile IP network based on the WLAN(Wireless LAN) and core network based on MPLS through by network simulations using QualNet.

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A Study on the Flow Analysis on the Software-Defined Networks through Simulation Environment Establishment (시뮬레이션 환경 구축을 통한 소프트웨어-정의 네트워크에서 흐름 분석에 관한 연구)

  • Lee, Dong-Yoon
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.13 no.1
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    • pp.88-93
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    • 2020
  • Recently, SDN technology is applied to real communication business, users are getting bigger, and as the amount of data flowing in the network increases, interest in network data flow management is increasing. During this process, it must be ensured that the confidentiality, integrity, availability, and traceability of the data on the network being transmitted. In addition, it is necessary to develop an environment for observing the flow of data in real time on a network required in various fields and visually confirming the control. In this paper, first, Mininet is applied to construct a network topology and various environment attributes. Second, we added OpenDayLight in Mininet environment to develop a simulation environment to visually check and control network traffic flow in network topology.

Algorithm for Reducing the Effect of Network Delay of Sensor Data in Network-Based AC Motor Drives

  • Chun, Tae-Won;Ahn, Jung-Ryol;Lee, Hong-Hee;Kim, Heung-Geun;Nho, Eui-Cheol
    • Journal of Power Electronics
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    • v.11 no.3
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    • pp.279-284
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    • 2011
  • Network-based controls for ac motor drive systems are becoming increasingly important. In this paper, an ac motor control system is implemented by a motor control module and three sensor modules such as a voltage sensor module, a current sensor module, and an encoder module. There will inevitably be network time delays from the sensor modules to the motor control system, which often degrades and even destabilizes the motor drive system. As a result, it becomes very difficult to estimate the network delayed ac sensor data. An algorithm to reduce the effects of network time delays on sensor data is proposed, using both a synchronization signal and a simple method for estimating the sensor data. The algorithm is applied to a vector controlled induction motor drive system, and the performance of the proposed algorithm is verified with experiments.

A Study on Service Quality Diagnosis Techniques for LTE/5G Network Backhaul (LTE/5G 네트워크 백홀(Backhaul)의 서비스 품질진단 기법에 관한 연구)

  • Ji-Hyun Yoo
    • Journal of IKEEE
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    • v.27 no.4
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    • pp.617-623
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    • 2023
  • With the evolution of communication networks, there is a growing demand for stable high-speed data connections to support services relying on large-capacity data. The increasing volume of packet data aggregated from user devices underscores the significance of quality diagnostics for the backhaul network, an intermediate link transmitting data to the core network. This paper conducts empirical research on techniques to diagnose issues within the backhaul network through practical case studies, through diagnosing various factors such as circuit bandwidth, speed disparities within switches, network segment-specific buffer sizes, routing policies, among other factors that could potentially cause RTT (Round Trip Time) delays and performance degradation.

DNA (Data, Network, AI) Based Intelligent Information Technology (DNA (Data, Network, AI) 기반 지능형 정보 기술)

  • Youn, Joosang;Han, Youn-Hee
    • KIPS Transactions on Computer and Communication Systems
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    • v.9 no.11
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    • pp.247-249
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    • 2020
  • In the era of the 4th industrial revolution, the demand for convergence between ICT technologies is increasing in various fields. Accordingly, a new term that combines data, network, and artificial intelligence technology, DNA (Data, Network, AI) is in use. and has recently become a hot topic. DNA has various potential technology to be able to develop intelligent application in the real world. Therefore, this paper introduces the reviewed papers on the service image placement mechanism based on the logical fog network, the mobility support scheme based on machine learning for Industrial wireless sensor network, the prediction of the following BCI performance by means of spectral EEG characteristics, the warning classification method based on artificial neural network using topics of source code and natural language processing model for data visualization interaction with chatbot, related on DNA technology.

Secure Data Transmission Scheme between Network for Building Facilities Control System (빌딩시설 제어시스템용 안전한 망간 자료전송 방안)

  • Jo, In-June
    • The Journal of the Korea Contents Association
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    • v.18 no.8
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    • pp.102-108
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    • 2018
  • The existing data transmission technology applied between the non-secure external internet and the secure internal business network has various problems when applied to the building facility management SCADA system control network. Traditional inter-network data transfer technologies involve high complexity and high costs because blacklist-based security techniques are applied to all data. However, whitelist-based security techniques can be applied to data distributed in Building Facility Management SCADA control systems because a small number of structured control data are repeatable and periodic. This simplifies the security technology applied to inter-network data transmission, enabling building facility management SCADA system control network deployment at low cost. In this paper, we proposed building control networks specialized in building facility management SCADA control systems by providing solutions to address and address these problems.

Design and Implementation of Architecture for Convergence of Home Network Services and Data Broadcasting Services (홈네트워크 서비스와 데이터방송 서비스의 컨버전스를 위한 구조 설계 및 구현)

  • Bae, Yu-Seok;Oh, Bong-Jin;Moon, Kyeong-Deok;Kim, Sang-Wook
    • The KIPS Transactions:PartC
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    • v.13C no.6 s.109
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    • pp.717-724
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    • 2006
  • This paper describes the design and implementation of architecture for convergence of home network services and data broadcasting services based on UMB and ACAP middleware; the one is used for interoperability of home networked devices, and the other for data broadcasting services. The proposed architecture provides TV-centric user interface capable of managing home network services and data broadcasting services together using a remote controller and TV sets TV applying Java TV Xlet interface and HAVi user interface for home network services like data broadcasting services. Besides, we define the service proxy for accessing home network services in a set-top box and the service broker for providing data related to home network services in a home server. Finally, the application manager in ACAP middleware manages the lifecycle of home network services through service events from the service proxy to the application manager.