• Title/Summary/Keyword: Long-term performance evaluation

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ROADWAY PERFORMANCE EVALUATION USING FUNCTION ANALYSIS METHOD OF VALUE ENGINEERING

  • Jong-Hyun Park;Yong-Jang Lee;In-Su Jung;Chan-Sik Lee
    • 국제학술발표논문집
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    • The 3th International Conference on Construction Engineering and Project Management
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    • pp.1528-1533
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    • 2009
  • Infrastructure is provided to the user through long-term project period and large-scale working expenses. Existing facilities are getting old as time goes by. Accordingly, proper maintenance is required and generally more maintenance cost than initial invested cost is needed during life cycle. Therefore, a specific plan that just increases the value of facilities is required by evaluating performance of facilities and inputting minimum maintenance cost. Value engineering that increases the value of object by systemically analyzing Life Cycle Costs and function is actively promoted at the design phase of construction. These efforts can increase the performance of facilities at the maintenance phase of infrastructure. This study is to search how to evaluate the performance of Roadway by utilizing function analysis, as a core part of VE in the maintenance phase. In order to this a new evaluation criteria were proposed by adding an evaluation items to the existing criteria through the research of old documents, status of roadway maintenance and function analysis of VE. The results of this study may promote the effective performance evaluation to determine a resolution of roadway congestion in future. A succeeding study using the proposed evaluation criteria will be required.

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국방규격 개선사업의 성과평가모형 개발 및 적용방안 연구 (A Study on the Development and Application of Performance Evaluation Model for Defense Standard Improvement Projects)

  • 이민철;김영현;안영준;김준수
    • 품질경영학회지
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    • 제51권2호
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    • pp.185-202
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    • 2023
  • Purpose: The purpose of this study is to identify key performance evaluation items and factors that are effective and practical for project management of defense standard standard improvement projects, and to develop a quantitative performance evaluation model. Methods: For the development of a performance evaluation model for defense standard improvement projects, we analyzed past major project performance and derived evaluation items and factors. To increase the objectivity and efficiency of project evaluation, we developed an evaluation index that enables relative evaluation of evaluation targets, and calculated the main importance of evaluation items using the Analytic Hierarchy Process (AHP) method based on the main opinions of expert groups. Results: The study resulted in the identification of main performance items for defense standard improvement projects, which were classified into defense standard conformity review performance and defense standard improvement performance items. We also simplified the evaluation model by integrating various evaluation items into similar evaluation factors. Additionally, we developed a quantitative evaluation index that enables relative evaluation of the targets and verified the objectivity and validity of the suggested performance evaluation model by reevaluating it using performance data from past commissioned professional institutions Conclusion: Developing a quantitative evaluation model for defense standard improvement projects is expected to provide a means of measuring the effectiveness of the project, and to be used as a tool to determine the appropriateness and effectiveness of medium and long-term project plans.

LSTM과 GRU 딥러닝 IoT 파워미터 기반의 단기 전력사용량 예측 (Short-term Power Consumption Forecasting Based on IoT Power Meter with LSTM and GRU Deep Learning)

  • 이선민;선영규;이지영;이동구;조은일;박대현;김용범;심이삭;김진영
    • 한국인터넷방송통신학회논문지
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    • 제19권5호
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    • pp.79-85
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    • 2019
  • 본 연구에서는 Long Short Term Memory (LSTM) 신경망과 Gated Recurrent Unit(GRU) 신경망을 Internet of Things (IoT) 파워미터에 적용하여 단기 전력사용량 예측방법을 제안하고, 실제 가정의 전력사용량 데이터를 토대로 예측 성능을 분석한다. 성능평가 지표로써 Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), Mean Percentage Error (MPE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE)를 이용한다. 실험 결과는 GRU 기반의 모델이 LSTM 기반의 모델에 비해 MAPE 기준으로 4.52%, MPE 기준으로 5.59%만큼의 성능개선을 보였다.

정신 및 건강요인이 장기요양 노인의 기능적 독립성에 미치는 영향 (The Effect of Functional Independence in Long Term Care Elderly People on the Mental and Health factor)

  • 신홍철;강정일;이경화
    • 대한물리치료과학회지
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    • 제15권1호
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    • pp.47-56
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    • 2008
  • The purpose of this study was to seek for a performance level of functional independence of the long term care elderly people. This study questionnaires 160 elders with 80 in a large city and 80 in small-to-medium sized city in order to find out the functional independence of elderly people. The results of this study were as follows. 1. Functional independence level following health factor; The comparison of degrees of functional independence level between two groups showed significant difference in sanitation, drinking and smoking, eating habit, chronic disease, physical activities, and regular physical examination(P<.05). But the comparison between two groups was not showed significant difference in present treatment, regular exercise. 2. Functional independence level following Psychological factor; The comparison of degrees of functional independence level between two groups showed significant difference in health evaluation(P<.05). But the comparison between two groups was not showed significant difference in quality of life. In conclusion it is needed that stable housing, much physical activities, and diversified family members should be realized and stable livelihood security recipients to maintain and improve health of the aged and to be socially satisfied.

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요양시설 노인을 위한 구강건강 평가 도구의 타당도와 신뢰도 (Validity and Reliability of an Oral Health Assessment Tool for Elderly in Long-Term Care Facilities)

  • 김나연;배현숙
    • 대한치위생과학회지
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    • 제4권1호
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    • pp.53-64
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    • 2021
  • Background: The elderly in long-term care facilities tend to have a diminished oral health status, with a high prevalence of dental caries and periodontal disease, as reduced cognitive function, joint mobility, and gait ability hinder the performance of oral hygiene. To improve the oral health of the elderly at long-term care facilities, it is necessary to have precise guidelines for oral health care and assessment; however, such guidelines are not readily available. Therefore, the present study aimed to develop an oral care assessment tool with verified reliability and validity. Methods: The participants in this study were 100 elderly patients at a care facilities and 10 clinical dental hygienists. Collected data were analyzed using the descriptive statistics, content validity index, and inter-rater reliability, as well as the analyses of intra-class correlation coefficient. Results: After a review of relevant literature, a preliminary questionnaire comprised of seven questions related to the evaluation of oral health was formed. After revising and supplementing the questions through a content validity test, a total of nine questions were selected. Conclusion: The novel assessment tool developed for the present study is anticipated to allow analyses of the level of problems related to oral health care before routine and professional care. Moreover, regular oral health status check-ups will enable the early diagnosis and treatment of diseases.

제강 슬래그 및 순환골재를 사용한 순환 아스팔트 혼합물의 장기 공용성 평가 (Long-Term Performance Evaluation on the Recycled Asphalt Concrete Using the Steel Slag and Reclaimed Asphalt Pavement Aggregates)

  • 박경원;장동복;이종민;강병화;김형배
    • 한국건설순환자원학회논문집
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    • 제9권4호
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    • pp.633-641
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    • 2021
  • 본 연구에서는 철강산업 부산물인 제강슬래그 및 폐아스팔트 콘크리트포장 파쇄물인 순환골재를 사용하여 아스팔트 혼합물용 천연골재를 대체 가능성을 파악하고 제강슬래그를 활용한 아스팔트 혼합물의 공용성 평가를 수행하였다. 일반 WC-2와 Slag WC-2(R)에 대한 평가는 동일한 조건으로 수행하였으며, 수행기관은 국가 공인시험기관(KTR) 및 한국도로학회로 각 기관의 연구용역을 통해 평가되었다. 동적안정도, 동탄성계수, 피로균열 시험결과 슬래그 아스팔트 혼합물이 일반 아스팔트 혼합물에 비해 각각 140%, 저온·고온 487·350%, Low·Middle·High Stress Level 32·325·900% 증가하는 것으로 조사되었다. 함부르크 휠 트래킹 시험결과 두 가지 혼합물의 수분저항성이 우수한 것으로 조사되었으나, 슬래그 아스팔트 혼합물 시험결과에 변곡점이 없고 변위발생량이 낮아 일반 혼합물 대비 우수한 것으로 조사되었다. 장기공용성 평가(APT) 결과 슬래그 아스팔트 혼합물에서 소성변형 발생량이 6.5% 적게 발생하였으며, 표층, 기층 및 하부층의 압축량을 분석한 결과 슬래그 포장도로의 표층 소성변형 저항성이 45% 높게 조사되었다.

해상 이동형 해수담수화 플랜트 선박의 저항 및 내항 성능 평가에 따른 장기 하중 추정 (Long-term Loads based on Evaluation of Resistance and Seakeeping Performances for a Desalination Plant Ship)

  • 이재빈;백광준;정준모
    • 한국해양공학회지
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    • 제33권6호
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    • pp.632-640
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    • 2019
  • Desalination plant ships have been recently regarded as one of the probable solutions for drought seasons in many countries. Because desalination plants should be mounted on the desalination ships and special purpose storages such as salty waste water tanks are necessary, onboard and compartment arrangements would be distinguished from those of other conventional commercial ships. This paper introduces some basic design procedure including resistance/propulsion and seakeeping performances. The ship lines were improved step by step after modification of the ship lines and verification of resistance/propulsion performances using computational fluid dynamics (CFD). After finalization of the ship lines, the seakeeping performance was also evaluated to check motion behaviors and drive wave-induced loads such as the wave shear force and bending moment. It was proved that the predicted long-term vertical wave shear force and bending moment were significantly less than the rule-based ones, thus it is expected that the deliverables of this study will reduce the construction cost of desalination plant ships.

Proportional Fair Scheduling Algorithm in OFDMA-Based Wireless Systems with QoS Constraints

  • Girici, Tolga;Zhu, Chenxi;Agre, Jonathan R.;Ephremides, Anthony
    • Journal of Communications and Networks
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    • 제12권1호
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    • pp.30-42
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    • 2010
  • In this work we consider the problem of downlink resource allocation for proportional fairness of long term received rates of data users and quality of service for real time sessions in an OFDMA-based wireless system. The base station allocates available power and subchannels to individual users based on long term average received rates, quality of service (QoS) based rate constraints and channel conditions. We formulate and solve a joint bandwidth and power optimization problem, solving which provides a performance improvement with respect to existing resource allocation algorithms. We propose schemes for flat as well as frequency selective fading cases. Numerical evaluation results show that the proposed method provides better QoS to voice and video sessions while providing more and fair rates to data users in comparison with existing schemes.

생물학적 통풍법 공정관리를 위한 원위치 토양가스 관측정 개발 (Development of In-Situ Soil Gas Monitoring Well for Managing the Bioventing Performance)

  • 유찬
    • 한국농공학회논문집
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    • 제49권1호
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    • pp.67-76
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    • 2007
  • Bioventing is commonly used for petroleum hydrocarbon (PHC) spills. This process provides better subsurface oxygenation, thus stimulating degradation by indigenous microorganisms. Therefore soil vapor monitoring points (VMPs) are extremely important in determining the potential effectiveness of bioventing and in long-term monitoring of bioventing progress. In this study in-situ soil gas monitoring well (GMW) was developed and presented the pilot test results which recover the contaminated site by bioventing method. The result of application was successful and it was expected that GMW developed could be applied to the evaluation procedure of bioventing effectiveness and long-term remediation potential.

Traffic Flow Prediction with Spatio-Temporal Information Fusion using Graph Neural Networks

  • Huijuan Ding;Giseop Noh
    • International journal of advanced smart convergence
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    • 제12권4호
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    • pp.88-97
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    • 2023
  • Traffic flow prediction is of great significance in urban planning and traffic management. As the complexity of urban traffic increases, existing prediction methods still face challenges, especially for the fusion of spatiotemporal information and the capture of long-term dependencies. This study aims to use the fusion model of graph neural network to solve the spatio-temporal information fusion problem in traffic flow prediction. We propose a new deep learning model Spatio-Temporal Information Fusion using Graph Neural Networks (STFGNN). We use GCN module, TCN module and LSTM module alternately to carry out spatiotemporal information fusion. GCN and multi-core TCN capture the temporal and spatial dependencies of traffic flow respectively, and LSTM connects multiple fusion modules to carry out spatiotemporal information fusion. In the experimental evaluation of real traffic flow data, STFGNN showed better performance than other models.