• 제목/요약/키워드: performance evaluation criteria

검색결과 970건 처리시간 0.027초

다중 연속 스카이라인 질의의 효율적인 처리 기법 (Multiple Continuous Skyline Query Processing Over Data Streams)

  • 이유원;이기용;김명호
    • 한국전자거래학회지
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    • 제15권4호
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    • pp.165-179
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    • 2010
  • 최근 들어 e-비즈니스 환경에서도 증권 거래, 시세, 주문 및 과금 데이터와 같이 지속적으로 유입되는 데이터 스트림에 대한 처리가 중요해지고 있다. 이 중에서도 데이터 스트림에 대한 다기준 의사 결정에 사용되는 스카이라인(skyline) 질의의 사용이 증가하고 있다. 다차원 튜플의 집합이 주어졌을 때, 스카이라인 집합은 다른 튜플에 의해 지배(dominate)되지 않는 튜플들의 집합을 반환한다. 고정된 데이터에 대한 단일 스카이라인 질의 처리에 대해서는 최근까지 많은 연구가 이루어져 왔으나, 데이터 스트림 환경에서 다중 연속 스카이라인 질의 처리에 대해서는 아직까지 많은 연구가 수행되지 않았다. 본 논문에서는 데이터 스트림 환경에서 하나 이상의 연속 스카이라인 질의들이 주어졌을 때, 이들을 효율적으로 처리할 수 있는 방법을 제안한다. 제안하는 방법은 각 튜플이 어떤 질의의 결과에 포함될지를 효율적으로 파악함으로써, 여러 개의 연속 스카이라인 질의들도 적은 비용으로 동시에 처리할 수 있다. 다양한 실험을 통해 제안하는 방법의 우수성을 보인다.

Development of a Submerged Propeller Turbine for Micro Hydro Power

  • Kim, Byung-Kon
    • 한국유체기계학회 논문집
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    • 제18권6호
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    • pp.45-56
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    • 2015
  • This paper aims to develop a submerged propeller turbine for micro hydropower plant which allows to sustain high values of efficiency in a broad range of hydrological conditions (H=2~6 m, $Q=0.15{\sim}0.39m^3/s$). The two aspects to be considered in this development are mechanical simplicity and high-efficiency operation. Unlike conventional turbines that have spiral casing and gear box, this is directing driving and no spiral casing. A 10 kW class turbine which has the most high potential of the power generation has been developed. The most important element in the design of turbine is the runner blade. The initial blade is designed using inverse design method and then the runner geometry is modified by classical hydraulic method. The design process is carried out in two steps. First, the blade shape is fix and then other components of submerged propeller turbine are designed. Computational fluid dynamics analyses based on the Navier-Stokes equations have been used to obtain overall performance data for the blade and the full turbine, respectively. The results generated by performance parameters(head, guide vane opening angle and rotational speed) variations are theoretically analysed. The evaluation criteria for the blade and the turbine performances are the pressure distribution and flow's behavior on the runner blades and turbine. The results of simulation reveals an efficiency of 91.5% and power generation of 10.5kW at the best efficiency point at the head of 4m and a discharge of $0.3m^3/s$.

철근콘크리트 보-기둥 접합부의 비탄성 회전 능력에 대한 성능 평가 (Performance Evaluation of Inelastic Rotation Capacity of Reinforced Concrete Beam-Column Connections)

  • 이기학;우성우
    • 한국지진공학회논문집
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    • 제11권5호
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    • pp.1-9
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    • 2007
  • 본 논문에서는 철근콘크리트 모멘트 골조의 보-기둥 접합부에 대한 비탄성 회전 능력의 성능을 조사한 연구 결과를 하고 있다. 총 91개의 보-기둥 접합부 실험체에 대해 상세히 조사되었으며, 그 중 28개의 실험체는 ACI 318-02의 상세 요구에 기초하여 특수 모멘트 골조 접합부로서 분류되었다. AISC-97 내진 기준에서 철골 모멘트 골조 접합부를 위해 정의된 허용기준이 분류된 철근콘크리트 모멘트 골조의 접합부에 대해 평가하기 위해서 사용되었다. 특수 모멘트 골조 접합부에 대한 설계 상세를 만족하는 28개의 실험체 중 27개의 특수 모멘트 골조 접합부가 충분한 강도를 가지고 있었으며, 급격한 강도 감소 없이 0.03 rad.의 소성 회전에 대해 연성 거동을 발휘할 수 있음을 보여 주었다. 접합부의 전단 강도, 기둥과 보에 대한 휨 강도 비율, 접합부내에서의 횡방향 철근비 등에 대한 제한이 보-기둥 접합부의 만족스런 내진 성능을 보여주는데 중요한 역할을 하였다.

황천항해중인 선수선교선의 내항성능평가기준 설정 방안에 관한 연구 - 해난사고 실례를 통한 갑판침수 평가기준치 설정에 대한 개선방안 고찰 - (A Methodology to Provide the Criterion for the Seakeeping Performance of a Fore-Bridge-Ship in Rough Seas - The Problem on the Application of the Past Deckrwetness Criterion Based on the Accident of a Fore-Bridge-Ship -)

  • 공길영;김철승
    • 해양환경안전학회지
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    • 제7권3호
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    • pp.17-28
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    • 2001
  • The wheelhouse front glass of a Fore-Bridge-Ship (Ro-Ro Ship) was broken by the shipping of water in rough seas, and then the flooding of seawater into the wheelhouse caused the uncontrollable condition of the ship. The hull which was entered into the floating condition rolled severely, and the heavy rolling caused secondary damage such as the collapse of a lot of cargo. It was an incredible accident because the height of bow freeboard was about 2.5 times higher than the standard height of minimum bow freeboard regulated by the International Load Line Convention(1966). And it would be also difficult for navigators to imagine a great deal of seawater flooding into the wheelhouse because the front glass was positioned at about 20m height above the sea surface. In this paper, we carried out the evaluation for the safety navigation of the Fore-Bridge-Ship numerically against ship's speed and encountering angle to the wave in each sea state of rough sea, by using the integrated seakeeping performance index (ISPI) which is able to evaluate synthetically the safety operation of ships. And then the problem on the application of the past criteria proposed as the safety navigation of a merchant ship was clarified by inquiring the dangerousness of the shipping of water at her bow deck, which caused the breakage of the wheelhouse front glass.

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도로교 내진보강 우선순위 결정을 위한 알고리즘에 관한 연구 (A Study on Algorithm for Determining Seismic Improvement Priority of Highway Bridges)

  • 김형규;장일영
    • 한국구조물진단유지관리공학회 논문집
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    • 제22권6호
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    • pp.138-147
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    • 2018
  • 최근 경주, 포항 등 국내에서 지진으로 인한 피해가 지속적으로 발생하면서, 우리나라가 더 이상 지진의 안전지대가 아니며 이에 대한 대비가 필요함을 알게 되는 계기가 되었다. 또한 내진설계 개념 도입 이전에 건설된 교량들은 적절한 보강 대책이 마련되지 않은 상태로 남아있는 실정으로 경제성과 구조적 안전성이 고려된 내진보강이 순차적으로 이루어져야한다. 기존 교량의 내진성능 예비평가는 교량이 위치한 지역의 지진세기를 고려한 지진도와 취약도 및 영향도를 고려하여 4개의 그룹으로 내진 그룹화하고 이를 통해 내진성능 상세평가를 위한 우선순위가 결정된다. 본 연구에서는 기존의 방법과 다르게 교량의 중요도와 취약조건, 도로교의 세부사항을 기준으로 선정하여 도로교의 내진 보강 우선순위를 결정하는 보다 간편하고 객관적인 알고리즘을 제안하고 이를 실제 교량에 적용하여 적합성을 확인하였다.

도산 예측을 위한 러프집합이론과 인공신경망 통합방법론 (The Integrated Methodology of Rough Set Theory and Artificial Neural Network for Business Failure Prediction)

  • 김창연;안병석;조성식;김성희
    • Asia pacific journal of information systems
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    • 제9권4호
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    • pp.23-40
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    • 1999
  • This paper proposes a hybrid intelligent system that predicts the failure of firms based on the past financial performance data, combining neural network and rough set approach, We can get reduced information table, which implies that the number of evaluation criteria such as financial ratios and qualitative variables and objects (i.e., firms) is reduced with no information loss through rough set approach. And then, this reduced information is used to develop classification rules and train neural network to infer appropriate parameters. Through the reduction of information table, it is expected that the performance of the neural network improve. The rules developed by rough sets show the best prediction accuracy if a case does match any of the rules. The rationale of our hybrid system is using rules developed by rough sets for an object that matches any of the rules and neural network for one that does not match any of them. The effectiveness of our methodology was verified by experiments comparing traditional discriminant analysis and neural network approach with our hybrid approach. For the experiment, the financial data of 2,400 Korean firms during the period 1994-1996 were selected, and for the validation, k-fold validation was used.

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Seismic fragility evaluation of arch concrete dams through nonlinear incremental analysis using smeared crack model

  • Moradloo, Javad;Naserasadi, Kiarash;Zamani, Habib
    • Structural Engineering and Mechanics
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    • 제68권6호
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    • pp.747-760
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    • 2018
  • In the present study, a methodology for developing fragilities of arch concrete dams to assess their performance against seismic hazards is introduced. Firstly, the probability risk and fragility curves are presented, followed by implementation and representation of the way this method is used. Amirkabir arch concrete dam was subjected to non-linear dynamic analyses. A modified three dimensional rotating smeared crack model was used to take the nonlinear behavior of mass concrete into account. The proposed model considers major characteristics of mass concrete. These characteristics are pre-softening behavior, softening initiation criteria, fracture energy conservation, suitable damping mechanism and strain rate effect. In the present analysis, complete fluid-structure interaction is included to account for appropriate fluid compressibility and absorptive reservoir boundary conditions. In this study, the Amirkabir arch concrete dam is subjected to a set of 8 three-component earthquakes each scaled to 10 increasing intensity levels. Using proposed nonlinear smeared crack model, nonlinear analysis is performed where the structure is subjected to a large set of scaled and un-scaled ground motions and the maximum responses are extracted for each one and plotted. Based on the results, fragility curves were plotted according to various and possible damages indexes. Discrete damage probabilities were calculated using statistical methods for each considered performance level and incremental nonlinear analysis. Then, fragility curves were constructed based on the lognormal distribution assumption. Two damage indexes were introduced and compared to one another. The results indicate that the dam has a proper stability under earthquake conditions at MCE level. Moreover, displacement damages index is more conservative and impractical in the fragility analysis than tensional damage index.

황사장기예측자료를 이용한 봄철 황사 발생 예측 특성 분석 (Assessment of Performance on the Asian Dust Generation in Spring Using Hindcast Data in Asian Dust Seasonal Forecasting Model)

  • 강미선;이우정;장필훈;김미경;부경온
    • 대기
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    • 제32권2호
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    • pp.149-162
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    • 2022
  • This study investigated the prediction skill of the Asian dust seasonal forecasting model (GloSea5-ADAM) on the Asian dust and meteorological variables related to the dust generation for the period of 1991~2016. Additionally, we evaluated the prediction skill of those variables depending on the combination of the initial dates in the sub-seasonal scale for the dust source region affecting South Korea. The Asian dust and meteorological variables (10 m wind speed, 1.5 m relative humidity, and 1.5 m air temperature) from GloSea5-ADAM were compared to that from Synoptic observation and European Centre for medium range weather forecasts reanalysis v5, respectively, based on Mean Bias Error (MBE), Root Mean Square Error (RMSE), and Anomaly Correlation Coefficient (ACC) as evaluation criteria. In general, the Asian dust and meteorological variables in the source region showed high ACC in the prediction scale within one month. For all variables, the use of the initial dates closest to the prediction month led to the best performances based on MBE, RMSE, and ACC, and the performances could be improved by adjusting the number of ensembles considering the combination of the initial date. ACC was as high as 0.4 in Spring when using the closest two initial dates. In particular, the GloSea5-ADAM shows the best performance of Asian dust generation with an ACC of 0.60 in the occurrence frequency of Asian dust in March when using the closest initial dates for initial conditions.

Design and heat transfer optimization of a 1 kW free-piston stirling engine for space reactor power system

  • Dai, Zhiwen;Wang, Chenglong;Zhang, Dalin;Tian, Wenxi;Qiu, Suizheng;Su, G.H.
    • Nuclear Engineering and Technology
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    • 제53권7호
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    • pp.2184-2194
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    • 2021
  • The Free-Piston Stirling engine (FPSE) is of interest for many research in aerospace due to its advantages of long operating life, higher efficiency, and zero maintenance. In this study, a 1-kW FPSE was proposed by analyzing the requirements of Space Reactor Power Systems (SRPS), of which performance was evaluated by developing a code through the Simple Analysis Method. The results of SAM showed that the critical parameters of FPSE could satisfy the designed requirements. The heater of the FPSE was designed with the copper rectangular fins to enhance heat transfer, and the parametric study of the heater was performed with Computational Fluid Dynamics (CFD) software STAR-CCM+. The Performance Evaluation Criteria (PEC) was used to evaluate the heat transfer enhancement of the fins in the heater. The numerical results of the CFD program showed that pressure drop and Nusselt number ratio had a linear growth with the height of fins, and PEC number decreased as the height of fins increased, and the optimum height of the fin was set as 4 mm according to the minimum heat exchange surface area. This paper can provide theoretical supports for the design and numerical analysis of an FPSE for SRPSs.

확률적 변동성을 가진 은닉마르코프 모형을 통한 비트코인 가격의 변동성 추정 (Hidden Markov model with stochastic volatility for estimating bitcoin price volatility)

  • 강태현;황범석
    • 응용통계연구
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    • 제36권1호
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    • pp.85-100
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    • 2023
  • Stochastic volatility (SV) 모형은 시변 변동성을 모델링하는 주요한 수단 중 하나이며, 특히 금융시장 변동성의 추정 및 예측, 옵션의 가격 결정 등의 분야에서 활발하게 사용되고 있다. 본 논문은 SV 모형을 활용하여 비트코인 시장의 시변 변동성을 모델링하고자 한다. 시장의 변동성은 국면 전환의 특성을 갖고 있다고 알려져 있으며, 시장의 변동 국면을 나누기 위해 시계열의 패턴을 인식하는 작업에 유용한 hidden Markov model(HMM)을 결합하여 사용하고자 한다. 본 연구는 암호화폐 거래 사이트 업비트의 비트코인 데이터를 활용하여 비트코인의 변동성 모형을 추정하였으며 SV 모형의 성능을 높이기 위하여 시장의 변동 국면을 나누어 분석을 진행하였다. MCMC 기법이 SV 모델의 모수를 추정하는 데 사용되며 MAPE, MSE 등의 평가 기준을 통하여 모델의 성능을 확인하고자 한다.