• Title/Summary/Keyword: Condition assessment

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An Experimental Study on the Greenery Ratio of coffee Shop based the Computer Graphics (컴퓨터 그랙픽을 이용한 커피숍 녹시율에 관한 시뮬레이션 실험연구)

  • 안옥희
    • Korean Institute of Interior Design Journal
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    • no.17
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    • pp.60-64
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    • 1998
  • The results of simulation on greenery ratio using CG are as follows: arrangement type of optimal condition and greenery ratio were summarized as below as dispersion type and 5% ratio greenery for 20 pairs of assessment items and these assessment items were classified into 5 factors as a result of factor analysis,. These factors were Harmony Animation Atmosphere texture Peculiarity. Verification results of factors differences according to each condition can be. there was no apparent difference among factors in accordance with gender, In case of arrangement type dispersion type was higher than concentration type in all factors. Based on the above results dispersion type was assessed higher than concentration type the most suitable condition of Harmony Factor was 5% dispersion type Animation Factor was 5% dispersion type Animation Factor was 7% dispersion type Atmosphere Factor was 10% dispersion type Texture Factor was 5% concentration type and $\ulcorner$Peculiarity Factor$\lrcorner$was 7% concentration type.

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Insomnia in Medical Illnesses:The Secondary Insomnia (내과적 질환에 동반된 불면증:이차성 불면증)

  • Lim, Se-Won;Kim, Leen
    • Sleep Medicine and Psychophysiology
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    • v.12 no.1
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    • pp.11-16
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    • 2005
  • Sleep can be easily disrupted by variety of conditions. Most of medical illnesses could be a primary condition causing secondary insomnia. The common underlying mechanism of secondary insomnia is presumed to be stress effects on sleep. The assessment and treatment of secondary insomnia are often complicated. Establishing an causal inference between primary condition and insomnia is the key to assessment. However, it can be difficult even for experienced clinicians due to diagnostic ambiguity of secondary insomnia. Therefore, through medical evaluation and integrative understanding of primary condition is essential to manage secondary insomnia properly. Although treatment have been usually focused on the primary medical illnesses per se, nonpharmacologic interventions, such as sleep hygiene, might be effective in many cases.

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Design of convection current circulation system in reservoir using CFD simulation (CFD모사를 이용한 저수지 물순환장치 유동 설계)

  • Lee, Yosang
    • Journal of Environmental Impact Assessment
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    • v.21 no.1
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    • pp.133-142
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    • 2012
  • Convection Current Circulation System(CCCS) in stratified reservoir controls development of anaerobic condition and algal bloom during summer. In order to increase the CCCS effectiveness, we analyze diverse design parameters to make optimize the flow pattern in reservoir. In this study, we interpret the internal flow with installation and operation condition of CCCS based on CFD in reservoir. Design variables of CCCS is reservoir depth, stratification strength, distance of between CCCS and so on. Since reservoir depth and stratification strength in variables is depending on natural phenomenon, we evaluated current circulation effect by distance of CCCS and proposed the optimal design condition using CFD simulation. Flow and diffusion changes in water body was assessed by temperature and dye test. Changes in water floor temperature at 40m intervals was slowly descending over 37 hours. Dye diffusion simulation at 60m intervals, the radius of the spread between two devices were overlapped after 12 hours.

Integrity Prediction Model of Data-driven Diesel Generator for Naval Vessels (함정 디젤발전기 데이터기반 건전성 예측모델에 관한 연구)

  • Kim, Dongjin;Shim, Jaesoon;Kim, Mingon
    • Journal of the Korean Society of Propulsion Engineers
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    • v.23 no.4
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    • pp.98-103
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    • 2019
  • Integrity prediction of the operation equipment of naval vessels is essential to maintain the efficiency of the operation performance in urgent situations. Recently, the integrated condition assessment system(ICAS) was introduced and maintained to improve operational performance. This technology is related with ICAS, and it must be localized through extensive research. In this paper, we present the results of applying the data-driven model to the predictability methods of diesel generators, which are naval vessel operation equipment.

Condition monitoring and rating of bridge components in a rail or road network by using SHM systems within SRP

  • Aflatooni, Mehran;Chan, Tommy H.T;Thambiratnam, David P.
    • Structural Monitoring and Maintenance
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    • v.2 no.3
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    • pp.199-211
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    • 2015
  • The safety and performance of bridges could be monitored and evaluated by Structural Health Monitoring (SHM) systems. These systems try to identify and locate the damages in a structure and estimate their severities. Current SHM systems are applied to a single bridge, and they have not been used to monitor the structural condition of a network of bridges. This paper propose a new method which will be used in Synthetic Rating Procedures (SRP) developed by the authors of this paper and utilizes SHM systems for monitoring and evaluating the condition of a network of bridges. Synthetic rating procedures are used to assess the condition of a network of bridges and identify their ratings. As an additional part of the SRP, the method proposed in this paper can continuously monitor the behaviour of a network of bridges and therefore it can assist to prevent the sudden collapses of bridges or the disruptions to their serviceability. The method could be an important part of a bridge management system (BMS) for managers and engineers who work on condition assessment of a network of bridges.

Research on Data-Driven Railway Risk Assessment Criteria (데이터 기반 철도 위험도평가 기준에 관한 연구)

  • Eun-Kyung Park
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.4
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    • pp.555-562
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    • 2023
  • The Railway Safety Act of 2014 strengthened the 'Railway Safety Management System' to establish autonomous safety management for railway operators and railway facility managers. Accordingly, it is required to establish and implement risk assessment and safety measures for risk management. However, the current risk assessment system is carried out at the fragmented safety management level within individual fields, which has caused difficulties in establishing and implementing risk assessment and safety measures. In addition, the technical standards of the safety management system stipulate that risk assessment of railway operators is mandatory, so standardized standards for risk assessment of railway facilities and railway vehicle maintenance are needed. Therefore, in this paper, we first verified railway risks by analyzing railway accident data for the last 10 years, and proposed a standardized framework to effectively assess and manage risks through a case study of a condition-based smart maintenance system developed based on railway vehicle maintenance data.

Improvement of the Estimation Method for Harbor Tranquility of Fishery Harbor (어항의 항내 정온도 평가사례 및 개선방안)

  • Tac, Dae-Ho;Kim, Gui-Young;Jeon, Kyeong-Am;Lee, Dae-In
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.21 no.6
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    • pp.637-644
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    • 2015
  • In order to estimate harbor tranquility, it is needed to simulate wave propagation in a harbor by using both methods under abnormal wave condition and normal wave condition. The problem is the latter case was not simulated in the statement for the Sea Area Utilization Conference. As harbor calmness about normal wave condition has the same meaning as harbor serviceability, in order to assess harbor tranquility, it is needed to survey wave data for long periods but the survey was not done by reason of a lack of budget and shortage of time for plan. It is more important to make a plan for minimizing environmental impact and to assess an improvement of fisherman's living environmental as the assessment of the harbor serviceability is related with the propriety of the plan. In order to assess it, it is needed to understand it clearly, survey for long period of wave data, and clarify the procedure for computation of it. And also providing wave data like tide and tidal current data from KHOA (Korea Hydro graphic and Oceanographic Agency) and making a guideline for assessing it are needed.

Development of Assessment System for Pipeline Integrity (매설배관의 건전성 평가 시스템 개발)

  • 이억섭;윤해룡
    • Journal of the Korean Society for Precision Engineering
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    • v.20 no.8
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    • pp.158-165
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    • 2003
  • The object of this work is to develop an assessment system for pipeline integrity. The internal algorithm and the database of the system are described in this paper. The system consists of four module applications; the effect of corrosion in pipeline, crack, SCC (stress corrosion cracking) and fatigue module. The database of the system is separated to mainly four parts; geometry of pipeline, material properties, boundary condition and general properties. This system may give a guideline for maintenance and modifications.

A Development on the Safety Management Information System in Building Work (빌딩공사의 안전관리정보시스템 개발)

  • Park, Jong-Keun
    • Journal of the Korean Society of Safety
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    • v.20 no.4 s.72
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    • pp.71-77
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    • 2005
  • There are insufficient models that find problems and solutions for accident prevention through risk assessment and suggest safe work process and work instruction from foundation works to finish work for accident decrease. This paper presents a quantitative risk assessment model by analysis of risk factors in each process such as foundation, erection, structure, equipment finish and etc based on accident examples and investigation on actual condition in building. In addition, the safety management system was developed to perform risk assessment of construction and use it for effective safety training for labor.

A New Traffic Congestion Detection and Quantification Method Based on Comprehensive Fuzzy Assessment in VANET

  • Rui, Lanlan;Zhang, Yao;Huang, Haoqiu;Qiu, Xuesong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.1
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    • pp.41-60
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    • 2018
  • Recently, road traffic congestion is becoming a serious urban phenomenon, leading to massive adverse impacts on the ecology and economy. Therefore, solving this problem has drawn public attention throughout the world. One new promising solution is to take full advantage of vehicular ad hoc networks (VANETs). In this study, we propose a new traffic congestion detection and quantification method based on vehicle clustering and fuzzy assessment in VANET environment. To enhance real-time performance, this method collects traffic information by vehicle clustering. The average speed, road density, and average stop delay are selected as the characteristic parameters for traffic state identification. We use a comprehensive fuzzy assessment based on the three indicators to determine the road congestion condition. Simulation results show that the proposed method can precisely reflect the road condition and is more accurate and stable compared to existing algorithms.