• 제목/요약/키워드: long term performance

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Reproduction of Long-term Memory in hydroclimatological variables using Deep Learning Model

  • Lee, Taesam;Tran, Trang Thi Kieu
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2020년도 학술발표회
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    • pp.101-101
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    • 2020
  • Traditional stochastic simulation of hydroclimatological variables often underestimates the variability and correlation structure of larger timescale due to the difficulty in preserving long-term memory. However, the Long Short-Term Memory (LSTM) model illustrates a remarkable long-term memory from the recursive hidden and cell states. The current study, therefore, employed the LSTM model in stochastic generation of hydrologic and climate variables to examine how much the LSTM model can preserve the long-term memory and overcome the drawbacks of conventional time series models such as autoregressive (AR). A trigonometric function and the Rössler system as well as real case studies for hydrological and climatological variables were tested. Results presented that the LSTM model reproduced the variability and correlation structure of the larger timescale as well as the key statistics of the original time domain better than the AR and other traditional models. The hidden and cell states of the LSTM containing the long-memory and oscillation structure following the observations allows better performance compared to the other tested conventional models. This good representation of the long-term variability can be important in water manager since future water resources planning and management is highly related with this long-term variability.

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장경간 강바닥판 케이블교량에 적용하기 위한 폴리우레탄 폴리머콘크리트의 공용특성 연구 (A Study to Evaluate Performance of Poly-Urethane Polymer Concrete for Long-Span Orthotropic Steel Bridge)

  • 박희영;이정훈;곽병석;최이현;김태우
    • 한국도로학회논문집
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    • 제15권1호
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    • pp.1-9
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    • 2013
  • PURPOSES: The purpose of this study is to evaluate physical properties, durability, fatigue resistance, and long-term performance of poly-urethane concrete (PU) which can be possible application of thin layer on long-span orthotropic steel bridge and to check structural stability of bridge structure. METHODS : Various tests of physical properties, such as flexural strength, tensile strength, bond strength and coefficient of thermal expansion tests were conducted for physical property evaluation using two types of poly urethane concrete which have different curing time. Freezing and thawing test, accelerated weathering test and chloride ion penetration test were performed to evaluate the effect of exposed to marine environment. Beam fatigue test and small scale accelerated pavement test were performed to assess the resistance of PU against fatigue damage and long-term performance. Structural analysis were conducted to figure out structural stability of bridge structure and thin bridge deck pavement system. RESULTS: The property tests results showed that similar results were observed overall however the flexural strength of PUa was higher than those of PUb. It was also found that PU materials showed durability at marine environment. Beam fatigue test results showed that the resistances of the PUa against fatigue damage were two times higher than those of the PUb. It was found form small scale accelerated pavement test to evaluate long-term performance that there is no distress observed after 800,000 load applications. Structural analysis to figure out structural stability of bridge structure and thin bridge deck pavement system indicated that bridge structures were needed to increase thickness of steel deck plate or to improve longitudinal rib shape. CONCLUSIONS: It has been known that the use of PU can be positively considered to thin layer on long-span orthotropic steel bridge in terms of properties considered marine environment, resistance of fatigue damage and long-term performance.

장기 예방정비로 인한 사용후연료저장조 열원 감소가 열교환기 성능평가에 미치는 영향 고찰 (Consideration for Heat Exchanger Performance Evaluation with reduced spend fuel pool heat due to the long-term over-haul maintenance)

  • 박찬;이성호
    • 한국압력기기공학회 논문집
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    • 제16권1호
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    • pp.56-64
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    • 2020
  • The safety related heat exchangers have been evaluated for their performance during the operation of the nuclear power plant. The evaluation program for the safety related heat exchanger was developed in 2010 and used by KHNP based on EPRI TR-10739 algorithms. The spend fuel pool heat exchanger is one of the safety related heat exchanger in the nuclear power plant and also evaluated for their performance. Recently the performance evaluation for the spend fuel pool heat exchanger was not available because of the decreased heat in the spend fuel pool due to the long term overhaul. This paper analyzes the main cause of evaluation failure in the evaluation process and suggests the criteria for the heat exchanger performance evaluation during the long term overhaul.

일개 지역 요양병원 간병인의 감염관리수행도 관련성 연구 (A Study on the Relationship of Infection Control Performance in a Long Term Care Hospital Caregivers)

  • 홍나경;강경자
    • 디지털융복합연구
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    • 제18권1호
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    • pp.187-198
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    • 2020
  • 본 연구의 목적은 일개 지역 요양병원 간병인의 일반적 특성, 감염관리 특성, 감염예방지식과 감염관리환경을 확인하고 감염관리 수행도에 미치는 요인을 확인하는데 있다. 연구대상자는 일개 지역 8개 요양병원의 간병인 197명이며, 자료수집은 자가기입 설문지를 이용하였으며, 2018년 8월에 진행되었다. 자료분석은 SPSS WIin 20.0을 이용하여 t-test, ANOVA, pearson's correlation coefficient, hierarchial multiple stepwise로 분석하였다. 연구결과 감염 예방지식은 감염관리수행도와 유의한 상관관계(p<.001)가 있었다. 요양병원 간병인의 감염관리수행도 영향요인은 70세 이상(t=2.50, p=.013), 8시간 근무(t=-2.62, p=.010), 1등급(t=2.48, p=.014), 감염예방지식(t=2.96 p=.003)이었으며, 제 변수들은 요양병원 간병인 감염관리수행도의 12.9%를 설명(F=6.70, p<.001)하였다. 본 연구결과는 요양병원 간병인의 감염관리수행도 영향요인을 확인함으로써 추후 간병인의 감염관리수행도 향상을 위한 교육프로그램 개발과 요양병원의 감염관리 수준을 향상시키는데 기초자료가 될 수 있다.

Simulation on Long-term Operation of an Anaerobic Bioreactor for Korean Food Wastes

  • Choi, Dong Won;Lee, Woo Gi;Lim, Seong Jin;Kim, Byung Jin;Chang, Ho Nam;Chang, Seung Teak
    • Biotechnology and Bioprocess Engineering:BBE
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    • 제8권1호
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    • pp.23-31
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    • 2003
  • A mathematical model was formulated to simulate the long-term performance of an anaerobic bioreactor designed to digest Korean food wastes. The system variables of various decomposition steps were built into the model, which predicts the temporal characters of Solid waste, and volatile fatty acid (VFA) in the reactor, and gas production in response to various input loadings and temperatures. The predicted values of VFA and gas production were found to be in good agreement with experimental observations in batch and repeated-input systems. Finally, long-term reactor performance was simulated with respect to the seasonal temperature changes from 5C in winter to 25C in Summer at different food waste input loadings. The simulation results provided us with information concerning the success or failure of a process during long-term operation .

An adaptive neuro-fuzzy inference system (ANFIS) model to predict the pozzolanic activity of natural pozzolans

  • Elif Varol;Didem Benzer;Nazli Tunar Ozcan
    • Computers and Concrete
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    • 제31권2호
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    • pp.85-95
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    • 2023
  • Natural pozzolans are used as additives in cement to develop more durable and high-performance concrete. Pozzolanic activity index (PAI) is important for assessing the performance of a pozzolan as a binding material and has an important effect on the compressive strength, permeability, and chemical durability of concrete mixtures. However, the determining of the 28 days (short term) and 90 days (long term) PAI of concrete mixtures is a time-consuming process. In this study, to reduce extensive experimental work, it is aimed to predict the short term and long term PAIs as a function of the chemical compositions of various natural pozzolans. For this purpose, the chemical compositions of various natural pozzolans from Central Anatolia were determined with X-ray fluorescence spectroscopy. The mortar samples were prepared with the natural pozzolans and then, the short term and the long term PAIs were calculated based on compressive strength method. The effect of the natural pozzolans' chemical compositions on the short term and the long term PAIs were evaluated and the PAIs were predicted by using multiple linear regression (MLR) and adaptive neuro-fuzzy inference system (ANFIS) model. The prediction model results show that both reactive SiO2 and SiO2+Al2O3+Fe2O3 contents are the most effective parameters on PAI. According to the performance of prediction models determined with metrics such as root mean squared error (RMSE) and coefficient of correlation (R2), ANFIS models are more feasible than the multiple regression model in predicting the 28 days and 90 days pozzolanic activity. Estimation of PAIs based on the chemical component of natural pozzolana with high-performance prediction models is going to make an important contribution to material engineering applications in terms of selection of favorable natural pozzolana and saving time from tedious test processes.

태양광발전시스템의 장기운전에 의한 성능특성 분석 (The Long-term Operating Evaluation of the Grid Connected Photovoltaic System)

  • 김의환;강승원;김재언
    • 신재생에너지
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    • 제7권2호
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    • pp.28-35
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    • 2011
  • Recently, photovoltaic systems have been devolved into much larger systems up to MW-scale. Photovoltaic industry participants give their focus on power generation capability of photovoltaic modules because their benefits can be decided from the amount of generation. The information on long-term performance change of photovoltaic modules helps to estimate the amount of power generation and evaluate the economic cost-benefits. Long-term performance of a PV system has been analyzed with operation data for 12 years from 1999 to 2010. In the first year, the amount of yearly power generation was 57.7 MWh with 13.2% capacity factor. In 2007, the amount of yearly generation was 44.3 MWh with 10.14% capacity factor, and in 2010, the amount was decreased down to 38.1 MWh with 8.7% capacity factor. The result means that long-term capacity factor has been 4.5% decreased for 12 years and that the amount of generation has been decreased 34.0% for 12 years which is 2.8 % per year. The latter capacity factor has been decreased faster than 0.20%, the average rate for 10 years. The performance decrease of the PV system is meant to be accelerated. The decrease of performance and utilization is due to aged deterioration of photovoltaic modules and lowering conversion efficiency of PCS.

주식매수선택권이 기업성과에 미친 영향에 대한 연구 (A Study of Effects of Stock Option on Firm's Performance)

  • 신연수
    • 정보학연구
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    • 제9권4호
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    • pp.75-85
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    • 2006
  • This study is to test the influence of stock option granting information on the firm's performance. The important issue in stock option is that agent cost is the important determinant factor for the long term performance. The agent cost arises between the manager and shareholders. So many study are concentrated in diminishing the agent cost, and develop some substitute tools to measure the agent cost. The event study about stock option analyzes returns around event date at a time. Event study provides estimation periods and cumulative returns. Announcements about stock option are generally associated with positive abnormal returns in short term period, but not showing positive effect in long term period. It is important to investigate the responses of stocks to new information contained in the announcements of stock option. Therefore it is important to study the long term performance in the case of stock option. The event time portfolio approach exists the CAR model, BHAR model and WR model. And the calendar time portfolio approach has the 3 factor model, 4 factor model, CTAR model, and RATS model. This study is forced to develop and arrange two approach method in evaluating the performance, the event time portfolio approach and calendar time portfolio approach.

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직접메탄올 연료전지의 장기운전 특성 분석 및 성능향상 연구 (Analysis of Long-term Stability of Direct Methanol Fuel Cell and Investigation of the Methods to Improve its Performance)

  • 이현숙;배병찬;이재영;임태훈;하흥용
    • 한국수소및신에너지학회논문집
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    • 제16권1호
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    • pp.31-39
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    • 2005
  • Direct methanol fuel cell (DMFC) is considered as a candidate for portable power sources, that could overcome the disadvantages of lithium battery. But in order to attain commercial viability the long term stability of the DMFC should be achieved. Understanding the long-term behavior of membrane-electrode assembly (MEA) is a prerequisite to this purpose and the optimization of the MEA is also needed. In this study we have investigated the changes in performance and electrochemical properties of the MEA during extended operation and the effects of heat treatment of MEA on the long-term performance. The MEAs have been treated in an autoclave with saturated water vapor at 120$^{\circ}C$, vacuum oven at 140$^{\circ}C$ and boiling in organic solvents. The autoclaved MEA was found to be have the best long term performance. The on-off operation mode also increased the performance probably due to effective removal of products from the electrodes. Physical and electrochemical analyses using a scanning electron microscope, impedance analyser and half-cell technique have been done to characterize the MEAs.

GFRP 슬래브 교량의 장기성능 평가 (Long-Term Performance Evaluation of a GFRP Slab Bridge)

  • 지효선
    • 한국강구조학회 논문집
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    • 제24권3호
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    • pp.349-360
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    • 2012
  • 본 논문은 GFRP 슬래브 교량 상부구조에 대한 장기성능, 내하력, 사용성 및 구조적 안전성의 상세한 평가를 기술하고 있다. 국내 최초로 완전 GFRP 슬래브 교량이 2002년 5월에 가설되었다. GFRP 슬래브 교량은 단순지지로 지간 10.0 m, 폭 8.0 m 인 2차선으로 설계되었다. 본 GFRP 슬래브교량은 콜루게이트(corrugate) 심재를 갖는 샌드위치 구조로서 유리섬유와 비닐 에스테르를 사용하여 수적층으로 제작되었다. GFRP 슬래브 교량의 장기성능 평가는 2002년 수행되었던 동일한 현장재하시험으로 2004, 2011년에 실시되었다. GFRP 슬래브교량은 예상되었던 대로 공용 중에서 구조적 문제점이 없이 성능이 잘 발휘되고 있었음을 평가를 통하여 나타내고 있다. 본 평가 자료는 GFRP 슬래브 교량의 내하력 평가에 대한 기초자료와 완전 GFRP 슬래브교량 상부구조의 장기성능의 일부자료로서 제공될 수 있을 것이다.