• Title/Summary/Keyword: network performance and reliability

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Optimal Design of Water Supply System using Multi-objective Harmony Search Algorithm (Multi-objective Harmony Search 알고리즘을 이용한 상수도 관망 다목적 최적설계)

  • Choi, Young-Hwan;Lee, Ho-Min;Yoo, Do-Guen;Kim, Joong-Hoon
    • Journal of Korean Society of Water and Wastewater
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    • v.29 no.3
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    • pp.293-303
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    • 2015
  • Optimal design of the water supply pipe network aims to minimize construction cost while satisfying the required hydraulic constraints such as the minimum and maximum pressures, and velocity. Since considering one single design factor (i.e., cost) is very vulnerable for including future conditions and cannot satisfy operator's needs, various design factors should be considered. Hence, this study presents three kinds of design factors (i.e., minimizing construction cost, maximizing reliability, and surplus head) to perform multi-objective optimization design. Harmony Search (HS) Algorithm is used as an optimization technique. As well-known benchmark networks, Hanoi network and Gyeonggi-do P city real world network are used to verify the applicability of the proposed model. In addition, the proposed multi-objective model is also applied to a real water distribution networks and the optimization results were statistically analyzed. The results of the optimal design for the benchmark and real networks indicated much better performance compared to those of existing designs and the other approach (i.e., Genetic Algorithm) in terms of cost and reliability, cost, and surplus head. As a result, this study is expected to contribute for the efficient design of water distribution networks.

Self-Recurrent Wavelet Neural Network Based Terminal Sliding Mode Control of Nonlinear Systems with Uncertainties (불확실성을 갖는 비선형 시스템의 자기 회귀 웨이블릿 신경망 기반 터미널 슬라이딩 모드 제어)

  • Lee, Sin-Ho;Choi, Yoon-Ho;Park, Jin-Bae
    • Proceedings of the KIEE Conference
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    • 2006.10c
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    • pp.315-317
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    • 2006
  • In this paper, we design a terminal sliding mode controller based on neural network for nonlinear systems with uncertainties. Terminal sliding mode control (TSMC) method can drive the tracking errors to zero within finite time. Also, TSMC has the advantages such as improved performance, robustness, reliability and precision by contrast with classical sliding mode control. For the control of nonlinear system with uncertainties, we employ the self-recurrent wavelet neural network(SRWNN) which is used for the prediction of uncertainties. The weights of SRWNN are trained by adaptive laws based on Lyapunov stability theorem. Finally, we carry out simulations to illustrate the effectiveness of the proposed control.

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An Improved Route Optimization Algorithm for RMTP Support in the NEMO Environment (NEMO 환경에서 RMTP를 지원하기 위한 개선된 경로 최적화 알고리즘)

  • Joe, In-Whee;Kim, Jae-Young
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.1A
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    • pp.67-72
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    • 2011
  • There are lots of researches for mobility of MS(mobile station) in All IP based network. Specially, NEMO(NEwork MObility) is not supporting mobility of each MS but supporting mobility of network that include group of MS. Some research try to overcome limitation of wireless with the protocol in wired state and it maintains the performance such as wire environment. There are no researches about multicast with reliability in NEMO. Therefore, this paper suggests efficient algorithm to solve problems when RMTP(Reliable Multicast Transport Protocol) apply to NEMO environment to support high reliability with multicast. And this paper shows the better performance of proposed algorithm for delay and transmission rate between AR and TLMR comparing with RMTP in NEMO.

The Analysis of Knowledge Structure using Co-word Method in Quality Management Field (동시단어분석을 이용한 품질경영분야 지식구조 분석)

  • Park, Man-Hee
    • Journal of Korean Society for Quality Management
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    • v.44 no.2
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    • pp.389-408
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    • 2016
  • Purpose: This study was designed to analyze the behavioral change of knowledge structures and the trends of research topics in the quality management field. Methods: The network structure and knowledge structure of the words were visualized in map form using co-word analysis, cluster analysis and strategic diagram. Results: Summarizing the research results obtained in this study are as follows. First, the word network derived from co-occurrence matrix had 106 nodes and 5,314 links and its density was analyzed to 0.95. Average betweenness centrality of word network was 2.37. In addition, average closeness centrality and average eigenvector centrality of word network were 0.01. Second, by applying optimal criteria of cluster decision and K-means algorithm to word co-occurrence matrix, 106 words were grouped into seven clusters such as standard & efficiency, product design, reliability, control chart, quality model, 6 sigma, and service quality. Conclusion: According to the results of strategic diagram analysis over time, the traditional research topics of quality management field related to reliability, 6 sigma, control chart topics in the third quadrant were revealed to be declined for their study importance. Research topics related to product design and customer satisfaction were found to be an important research topic over analysis periods. Research topic related to management innovation was emerging state and the scope of research topics related to process model was extended to research topics with system performance. Research topic related to service quality located in the first quadrant was analyzed as the key research topic.

Contribution-Level-Based Opportunistic Flooding for Wireless Multihop Networks (무선 다중 홉 환경을 위한 기여도 기반의 기회적 플러딩 기법)

  • Byeon, Seung-gyu;Seo, Hyeong-yun;Kim, Jong-deok
    • Journal of KIISE
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    • v.42 no.6
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    • pp.791-800
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    • 2015
  • In this paper, we propose the contribution-level-based opportunistic flooding in a wireless multihop network which achieves outstanding transmission efficiency and reliability. While the potential of the the predetermined relay node to fail in its receipt of broadcast packets is due to the inherent instability in wireless networks, our proposed flooding actually increases network reliability by applying the concept of opportunistic routing, whereby relay-node selection is dependent on the transmission result. Additionally, depending on the contribution level for the entire network, the proposed technique enhances transmission efficiency through priority adjustment and the removal of needless relay nodes. We use the NS-3 simulator to compare the proposed scheme with dominant pruning. The analysis results show the improved performance in both cases: by 35% compared with blind flooding from the perspective of the transmission efficiency, and by 20~70% compared to dominant pruning from the perspective of the reliability.

Efficient Update Method for Cloud Storage System

  • Khill, Ki-Jeong;Lee, Sang-Min;Kim, Young-Kyun;Shin, Jaeryong;Song, Seokil
    • International Journal of Contents
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    • v.10 no.1
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    • pp.62-67
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    • 2014
  • Usually, cloud storage systems are developed based on DFS (Distributed File System) for scalability and reliability reasons. DFSs are designed to improve throughput than IO response time, and therefore, they are appropriate for batch processing jobs. Recently, cloud storage systems have been used for update intensive applications such as OLTP and so on. However, in DFSs, in-place update operations are not carefully considered. Therefore, when updates are frequent, I/O performance of DFSs are degraded significantly. DFSs with RAID techniques have been proposed to improve their performance and reliability. Their performance degradation caused by frequent update operations can be more significant. In this paper, we propose an in-place update method for DFS RAID exploiting a differential logging technique. The proposed method reduces the I/O costs, network traffic and XOR operation costs for RAID. We demonstrate the efficiency of our proposed in-place update method through various experiments.

VHF Relay Network for Long Air-to-Ground Communication in Oceanic Flight Routes (대양항로에서 장거리 공대지통신을 위한 VHF Relay Network)

  • Koo, Jayeul
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.20 no.3
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    • pp.22-27
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    • 2012
  • In oceanic flight routes, HF radio and satellite data links have been used for air-to-ground communication, but these systems have long propagation delay and low data throughput. In this paper, we propose a reliable system to overcome the weakness of current HF radio and satellite communication systems for oceanic aeronautical flight routes. The proposed scheme uses only one aeronautical VHF channel in multi-hop oceanic communication environments and supports a hybrid type of multiple access, which consists of random access and TDMA (Time Division Multiple Access) scheme. The proposed system improves performance on delay and throughput as an effective solution to communicate end-to-end on the oceanic flight routes and strengthens the reliability of oceanic aeronautical communication.

Application of Ground Penetrating Radar (GPR) coupled with Convolutional Neural Network (CNN) for characterizing underground conditions

  • Dae-Hong Min;Hyung-Koo Yoon
    • Geomechanics and Engineering
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    • v.37 no.5
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    • pp.467-474
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    • 2024
  • Monitoring and managing the condition of underground utilities is crucial for ground stability. This study aims to determine whether images obtained using ground penetrating radar (GPR) accurately reflect the characteristics of buried pipelines through image analysis. The investigation focuses on pipelines made from different materials, namely concrete and steel, with concrete pipes tested under various diameters to assess detectability under differing conditions. A total of 400 images are acquired at locations with pipelines, and for comparison, an additional 100 data points are collected from areas without pipelines. The study employs GPR at frequencies of 200 MHz and 600 MHz, and image analysis is performed using machine learning-based convolutional neural network (CNN) techniques. The analysis results demonstrate high classification reliability based on the training data, especially in distinguishing between pipes of the same material but of different diameters. The findings suggest that the integration of GPR and CNN algorithms can offer satisfactory performance in exploring the ground's interior characteristics.

Development of CAN based Automatic Fire Detection System

  • Lee, Hong-Hee;Kim, Jung-Hee
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.695-699
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    • 2003
  • It is general to use the control network in control systems in order to reduce the complexity of the related wiring harnesses and to improve the system flexibility. CAN becomes one of the most popular network protocols because of its low price, multiple sources, high performance and reliability. This paper describes a CAN based real-time control of the fire detection system for the intelligent building system. The proposed fire detection and alarm system is stronger than the previous one against noises and communication media faults and can solve many problems such as complex cabling and increment of I/O ports by using many sensors. Furthermore, MMI can be achieved easily with the personal computer that is used for replacing the traditional monitoring system. The proposed system is implemented and the experimental results are given.

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Comparison of Cost Effective Measures among Fault-tolerant Multistage Interconnection Networks

  • Choi Young Woo;Kim Hyoun Jong;Kim Sehun
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2004.10a
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    • pp.640-643
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    • 2004
  • As the size of a network increases, the network complexity and maintenance cost is high. In literatures, many cost factors of multistage interconnection networks were intensively investigated. However, in some parts, these types of cost definition are not satisfactory enough since they don't relate the cost measure to technology closely and also fail to incorporate exact tradeoffs in designing the network. In this paper, we propose some cost effective measures which combine the cost factors with performance-related reliability measures, and compare several networks for a guidance to select a certain case depending on the principal concerns for use.

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