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Faultless Protection Methods in Self-Healing Ethernet Ring Networks

  • Lee, Kwang-Koog;Ryoo, Jeong-Dong;Joo, Bheom Soon
    • ETRI Journal
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    • v.34 no.6
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    • pp.816-826
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    • 2012
  • Self-healing Ethernet rings show promise for realizing the SONET/SDH-grade resilience in Carrier Ethernet infrastructures. However, when a ring is faulty, high-priority protection messages are processed in less time than low-priority data frames are processed. In this situation, any delayed data frames either being queued or traveling through long ring spans will cause the ring nodes to generate incorrect forwarding information. As a result, the data frames spread in the wrong direction, causing the ring to become unstable. To solve this problem, we propose four schemes, that is, dual flush, flush delay timer setting, purge triggering, and priority setting, and evaluate their protection performance under various traffic conditions on a ring based on the Ethernet ring protection (ERP) method. In addition, we develop an absorbing Markov chain model of the ERP protocol to observe how traffic congestion can impact the protection performance of the proposed priority setting scheme. Based on our observations, we propose a more reliable priority setting scheme, which guarantees faultless protection, even in a congested ring.

Usability Evaluation of Churches' Convenience Facilities for the Elderly - Focused on the Application of the Act on Convenience Promotion (고령자를 위한 교회 편의시설의 이용성 평가 - 편의증진법 적용을 중심으로)

  • Lee, Jonghee;Kim, Duksu
    • Journal of The Korea Institute of Healthcare Architecture
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    • v.18 no.4
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    • pp.29-38
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    • 2012
  • Purpose: The purpose of this study is to generate empirical data regarding the usability of churches' convenience facilities for the elderly, while categorizing church architecture as intermediate, inner, sanitation, and other facilities. The generated data can be used for renovating or upgrading the existing churches' convenience facilities to match up the act on convenience promotion. Methods: Field studies were conducted for collecting the empirical data from 42 churches. Results: Specifically, intermediate and sanitation facilities were more urgent sections, needing serious improvement works for the elderly. In the inner facilities, 14 categories were counted as not-met(NM) or not-installed(NI) among total 26 categories. In the other facilities, 11 categories were found as not-met(NM) or not-installed(NI) among total 15 categories. Implications: The research results can be used as a checklist for the improvement of convenience facilities for the elderly in existing churches.

A Study on Component Map Generation of a Gas Turbine Engine Using Genetic Algorithms (유전자 알고리즘을 이용한 가스터빈 엔진의 구성품 성능선도 생성에 관한 연구)

  • Kong Chang-Duk;Kho Seong-Hee
    • Journal of the Korean Society of Propulsion Engineers
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    • v.8 no.3
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    • pp.44-52
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    • 2004
  • In this study, a component map generation method using experimental data and the genetic algorithms are newly proposed. In order to generate the performance map for components of this engine, after obtaining engine performance data through many experimental tests, and then the third order equations which have relationships the mass flow function the pressure ratio and the isentropic efficiency as to the engine rotational speed were derived by using the genetic algorithms. A steady-state performance analysis was performed with the generated maps of the compressor by the commercial gas turbine performance analysis program GASTURB. In comparison, it was found that the component maps can be generated from the experimental test data by using the genetic algorithms, and it was confirmed that the analysis results using the generated maps were very similar to those using the scaled maps from the GASTURB.

Study on a Simulator for Generating Side Walking Path of the Biped Walking Robot (이족보행로봇의 횡보행 경로생성을 위한 시뮬레이터 연구)

  • Choi, Hyeung-Sik;Jeon, Chang-Hoon;Kang, Jin-Il
    • Journal of Advanced Marine Engineering and Technology
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    • v.32 no.8
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    • pp.1285-1295
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    • 2008
  • A research on a simulator for a side walking path of a 16 degree-of-freedom (d.o.f) biped walking robot(BWR) which is composed of 4 d.o.f upper-part body and 12 d.o.f lower-part of the body is presented. For generation of stable side walking motion, the kinematics, dynamics and the zero moment of point(ZMP) of the BWR were analyzed analytically and included in the simulator. To operate the motion simulator for stable side walking of the BWR, a graphic user interface program was developed which needs inputs for the side distance between legs, base joint angle, walking type, and walking velocity. The simulator was developed to generate joint angle data of legs for side walking, and the data are transmitted to the BWR for stable side walking. In the simulator, a new path function for smooth walking motion was proposed and applied to the simulator and actual motion of a BWR. Also for actual side walking, an algorithm for estimating backlashes of the actuating joint motors was proposed and included in the simulator. To validate the performance of the proposed motion simulator, the simulator was operated and its side walking data of the simulator were generated for a period of side walking.

Development of failure reporting analysis and corrective action system (고장보고분석 및 정비 시스템의 개발에 관한 실증 연구)

  • Hong, Yeon-Woong
    • Journal of the Korean Data and Information Science Society
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    • v.21 no.1
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    • pp.109-119
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    • 2010
  • FRACAS (Failure Reporting, Analysis and Corrective Action System) is intended to provide management visibility and control for reliability and maintainability improvement of hardware and associated software by timely and disciplined utilization of failure and maintenance data to generate and implement effective corrective actions to prevent failure recurrence and to simplify or reduce the maintenance tasks. This process applies to acquisition for the design, development, fabrication, test, and operation of military systems, equipment, and associated computer programs. This paper shows the FRACAS development process and developed FRACAS system for a defense equipment.

A Video Shot Verification System (비디오 샷 검증 시스템)

  • Chung, Ji-Moon
    • Journal of Digital Convergence
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    • v.7 no.2
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    • pp.93-102
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    • 2009
  • Since video is composed of unstructured data with massive storage and linear forms, it is essential to conduct various research studies to provide the required contents for users who are accustomed to dealing with standardized data such as documents and images. Previous studies have shown the occurrence of undetected and false detected shots. This thesis suggested shot verification and video retrieval system using visual rhythm to reduce these kinds of errors. First, the system suggested in this paper is designed to detect the parts easily and quickly, which are assumed as shot boundaries, just by changing the visual rhythm without playing the image. Therefore, this enables to delete the false detected shot and to generate the unidentified shot and key frame. The following are the summaries of the research results of this study. Second, during the retrieving process, a thumbnail and keyword method of inquiry is possible and the user is able to put some more priorities on one part than the other between the color and shape. As a result, the corresponding shot or scene is displayed. However, in the case of not finding the preferred shot, the key picture frame of similar shot is supplied and can be used in the further inquiry of the next scene.

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A Computerized Construction Cost Estimating Method based on the Actual Cost Data (실적 공사비에 의한 예정공사비 산정 전산화 방안)

  • Chun Jae-Youl;Cho Jae-ho;Park Sang-Jun
    • Korean Journal of Construction Engineering and Management
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    • v.2 no.2 s.6
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    • pp.90-97
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    • 2001
  • The paper considers non-deterministic methods of analysing the risk exposure in a cost estimate. The method(referred to as the 'Monte Carlo simulation' method) interprets cost data indirectly, to generate a probability distribution for total costs from the deficient elemental experience cost distribution. The Monte Carlo method is popular method for incorporating uncertainty relative to parameter values in risk assessment modelling. Non-deterministic methods, they are here presented as possibly effective foundation on which to risk management in cost estimating. The objectives of this research is to develop a computerized algorithms to forecast the probabilistic total construction cost and the elemental work cost at the planning stage.

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Computational Performance Prediction of Main Coolant Pump for the Integral Reactor SMART (일체형원자로 SMART 냉각재 순환펌프의 전산성능예측)

  • Kim M. H;Lee J. S;Park J. S;Kim J. I;Kim K. K
    • Journal of computational fluids engineering
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    • v.8 no.3
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    • pp.32-40
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    • 2003
  • CFD analyses of the three-dimensional turbulent flow in the impeller and diffuser of an axial flow pump including suction and discharge parts are presented and compared with experimental data. The purpose of the current study is to validate the CFD method for the performance analysis of the main coolant pump for SMART and to investigate the effect of suction and discharge shapes on the pump performance. To generate a performance curve, not only the design point but also the off-design points were computed. The results were compared with available experimental data in terms of head generated. At the design point, the analysis accurately predicts the experimental head value. In the range of the higher flow rates, the results are also in very good agreement with the experimental data, in magnitude but also in terms of slope of variation. For lower flow rates, the results shows that the analysis considering the suction and discharge well describe the typical S-shape performance curve of the axial pump.

Using Omnidirectional Images for Semi-Automatically Generating IndoorGML Data

  • Claridades, Alexis Richard;Lee, Jiyeong;Blanco, Ariel
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.36 no.5
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    • pp.319-333
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    • 2018
  • As human beings spend more time indoors, and with the growing complexity of indoor spaces, more focus is given to indoor spatial applications and services. 3D topological networks are used for various spatial applications that involve navigation indoors such as emergency evacuation, indoor positioning, and visualization. Manually generating indoor network data is impractical and prone to errors, yet current methods in automation need expensive sensors or datasets that are difficult and expensive to obtain and process. In this research, a methodology for semi-automatically generating a 3D indoor topological model based on IndoorGML (Indoor Geographic Markup Language) is proposed. The concept of Shooting Point is defined to accommodate the usage of omnidirectional images in generating IndoorGML data. Omnidirectional images were captured at selected Shooting Points in the building using a fisheye camera lens and rotator and indoor spaces are then identified using image processing implemented in Python. Relative positions of spaces obtained from CAD (Computer-Assisted Drawing) were used to generate 3D node-relation graphs representing adjacency, connectivity, and accessibility in the study area. Subspacing is performed to more accurately depict large indoor spaces and actual pedestrian movement. Since the images provide very realistic visualization, the topological relationships were used to link them to produce an indoor virtual tour.

Improvement of Vegetation Index Image Simulations by Applying Accumulated Temperature

  • Park, Jin Sue;Park, Wan Yong;Eo, Yang Dam
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.38 no.2
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    • pp.97-107
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    • 2020
  • To analyze temporal and spatial changes in vegetation, it is necessary to determine the associated continuous distribution and conduct growth observations using time series data. For this purpose, the normalized difference vegetation index, which is calculated from optical images, is employed. However, acquiring images under cloud cover and rainfall conditions is challenging; therefore, time series data may often be unavailable. To address this issue, La et al. (2015) developed a multilinear simulation method to generate missing images on the target date using the obtained images. This method was applied to a small simulation area, and it employed a simple analysis of variables with lower constraints on the simulation conditions (where the environmental characteristics at the moment of image capture are considered as the variables). In contrast, the present study employs variables that reflect the growth characteristics of vegetation in a greater simulation area, and the results are compared with those of the existing simulation method. By applying the accumulated temperature, the average coefficient of determination (R2) and RMSE (Root Mean-Squared Error) increased and decreased by 0.0850 and 0.0249, respectively. Moreover, when data were unavailable for the same season, R2 and RMSE increased and decreased by 0.2421 and 0.1289, respectively.