• 제목/요약/키워드: Demand Performance

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앙상블 모형을 이용한 단기 용수사용량 예측의 적용성 평가 (Evaluation of short-term water demand forecasting using ensemble model)

  • 소병진;권현한;구자용;나봉길;김병섭
    • 상하수도학회지
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    • 제28권4호
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    • pp.377-389
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    • 2014
  • In recent years, Smart Water Grid (SWG) concept has globally emerged over the last decade and also gained significant recognition in South Korea. Especially, there has been growing interest in water demand forecast and this has led to various studies regarding energy saving and improvement of water supply reliability. In this regard, this study aims to develop a nonlinear ensemble model for hourly water demand forecasting which allow us to estimate uncertainties across different model classes. The concepts was demonstrated through application to observed from water plant (A) in the South Korea. Various statistics (e.g. the efficiency coefficient, the correlation coefficient, the root mean square error, and a maximum error rate) were evaluated to investigate model efficiency. The ensemble based model with an cross-validate prediction procedure showed better predictability for water demand forecasting at different temporal resolutions. In particular, the performance of the ensemble model on hourly water demand data showed promising results against other individual prediction schemes.

Macroeconomic Environments and Demand for Retail Space in Shopping Centres in Malaysia

  • ZAKARIA, Zukarnain;ISMAIL, Mohd Roslan;ARUMUGAM, Vijayesvaran
    • The Journal of Asian Finance, Economics and Business
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    • 제8권10호
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    • pp.297-303
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    • 2021
  • The performance of the retail industry in a country, which simultaneously reflects the demand for retail space, is significantly influenced by the macroeconomic environment of said country. However, in the case of Malaysia, studies regarding this issue are limited. Therefore, this paper aims to identify the macroeconomic determinants of the demand for retail space in shopping centers in Malaysia through the study of six variables: per capita income, private expenditure, inflation rate, interest rate, total population, and the number of tourists arrival. The nexus between these variables and the demand for retail space in shopping centers were examined by cointegration and causality tests, and regression analysis using quarterly data for the period 1993Q1 to 2016Q4. The results from bivariate cointegration tests indicate that inflation rate, interest rates, population size, and the number of tourists arrival have significant long-run relationships with the demand for retail space of Malaysian shopping centers. Meanwhile, the Granger causality tests show that only population size can cause the demand for shopping centers' retail space. Finally, the results from the regression analysis revealed that income per capita, private expenditure, interest rates, and population are the variables that significantly influence the demand for the retail space of the Malaysian shopping centers.

Bayesian approach for the accuracy evaluating of the seismic demand estimation of SMRF

  • Ayoub Mehri Dehno;Hasan Aghabarati;Mehdi Mahdavi Adeli
    • Earthquakes and Structures
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    • 제26권2호
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    • pp.117-130
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    • 2024
  • Probabilistic model of seismic demand is the main tool used for seismic demand estimation, which is a fundamental component of the new performance-based design method. This model seeks to mathematically relate the seismic demand parameter and the ground motion intensity measure. This study is intended to use Bayesian analysis to evaluate the accuracy of the seismic demand estimation of Steel moment resisting frames (SMRFs) through a completely Bayesian method in statistical calculations. In this study, two types of intensity measures (earthquake intensity-related indices such as magnitude and distance and intensity indices related to ground motion and spectral response including peak ground acceleration (PGA) and spectral acceleration (SA)) have been used to form the models. In addition, an extensive database consisting of sixty accelerograms was used for time-series analysis, and the target structures included five SMRFs of three, six, nine, twelve and fifteen stories. The results of this study showed that for low-rise frames, first mode spectral acceleration index is sufficient to accurately estimate demand. However, for high-rise frames, two parameters should be used to increase the accuracy. In addition, adding the product of the square of earthquake magnitude multiplied by distance to the model can significantly increase the accuracy of seismic demand estimation.

주문형 비디오 서버를 위한 소프트웨어 RAID의 설계 및 성능 분석 (Design and Performance Evaluation of Software RAID for Video-on-Demand Servers)

  • 고정국
    • 한국산업융합학회 논문집
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    • 제3권2호
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    • pp.167-178
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    • 2000
  • Software RAID(Redundant Arrays of Inexpensive Disks) is defined as a storage system that provides capabilities of hardware RAID, and guarantees high reliability as well as high performance. In this paper, we propose an enhanced disk scheduling algorithm and a scheme to guarantee reliability of data. We also design and implement software RAID by utilizing these mechanism to develop a storage system for multimedia applications. Because the proposed algorithm improves a defect of traditional GSS algorithm that disk I/O requests arc served in a fixed order, it minimizes buffer consumption and reduces the number of deadline miss through service group exchange. Software RAID also alleviates data copy overhead during disk services by sharing kernel memory. Even though the implemented software RAID uses the parity approach to guarantee reliability of data, it adopts different data allocation scheme. Therefore, we reduce disk accesses in logical XOR operations to compute the new parity data on all write operations. In the performance evaluation experiments, we found that if we apply the proposed schemes to implement the Software RAID, it can be used as a storage system for small-sized video-on-demand servers.

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Capacity design by developed pole placement structural control

  • Amini, Fereidoun;Karami, Kaveh
    • Structural Engineering and Mechanics
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    • 제39권1호
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    • pp.147-168
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    • 2011
  • To ensure safety and long term performance, structural control has rapidly matured over the past decade into a viable means of limiting structural responses to strong winds and earthquakes. Nonlinear response history analysis requires rigorous procedure to compute seismic demands. Therefore the simplified nonlinear analysis procedures are useful to determine performance of the structure. In this investigation, application of improved capacity demand diagram method in the control of structural system is presented for the first time. Developed pole assignment method (DPAM) in structural systems control is introduced. Genetic algorithm (GA) is employed as an optimization tool for minimizing a target function that defines values of coefficient matrices providing the placement of actuators and optimal control forces. The ground acceleration is modified under induced control forces. Due to this, performance of structure based on improved nonlinear demand diagram is selected to threshold of nonlinear behavior of structure. With small energy consumption characteristics, semi-active devices are especially attractive solutions for limiting earthquake effects. To illustrate the efficiency of DPAM, a 30-story steel moment frame structure employing the semi-active control devices is applied. In comparison to the widely used linear quadratic regulation (LQR), the DPAM controller was shown to be just as effective and better in the reduction of structural responses during large earthquakes.

Probabilistic seismic evaluation of buckling restrained braced frames using DCFD and PSDA methods

  • Asgarian, Behrouz;Golsefidi, Edris Salehi;Shokrgozar, Hamed Rahman
    • Earthquakes and Structures
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    • 제10권1호
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    • pp.105-123
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    • 2016
  • In this paper, using the probabilistic methods, the seismic demand of buckling restrained braced frames subjected to earthquake was evaluated. In this regards, 4, 6, 8, 10, 12 and 14-storybuildings with different buckling restrained brace configuration (including diagonal, split X, chevron V and Inverted V bracings) were designed. Because of the inherent uncertainties in the earthquake records, incremental dynamical analysis was used to evaluate seismic performance of the structures. Using the results of incremental dynamical analysis, the "capacity of a structure in terms of first mode spectral acceleration", "fragility curve" and "mean annual frequency of exceeding a limit state" was determined. "Mean annual frequency of exceeding a limit state" has been estimated for immediate occupancy (IO) and collapse prevention (CP) limit states using both Probabilistic Seismic Demand Analysis (PSDA) and solution "based on displacement" in the Demand and Capacity Factor Design (DCFD) form. Based on analysis results, the inverted chevron (${\Lambda}$) buckling restrained braced frame has the largest capacity among the considered buckling restrained braces. Moreover, it has the best performance among the considered buckling restrained braces. Also, from fragility curves, it was observed that the fragility probability has increased with the height.

초고층 철골 건축물의 내진성능평가를 위한 Drift Capacity 산정 프로세스 (Determination Process of Drift Capacity for Seismic Performance Evaluation of Steel Tall Buildings)

  • 민지연;오명호;김명한;김상대
    • 한국강구조학회 논문집
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    • 제18권4호
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    • pp.481-490
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    • 2006
  • 지진의 피해를 입은 후 건물의 실제 성능은 많은 요인에 영향을 받는다. 신축 구조물이나 기존 구조물의 지진 성능 예측은 복잡하다. 그 이유는 고려되어져야 하는 많은 요소와 지진 반응의 복잡성뿐만 아니라 이러한 예측과 관련된 타고난 불확실성 과 가변성 때문이다. 본 연구의 목적은 구조물의 능력 평가와 반응 요구에서의 불확실성과 가변성의 적절한 취급과 결합이다. 일관된 방법으로 demand와 capacity에서의 불확실성과 가변성을 설명하기 위하여 신뢰성 이론에 기초한 성능평가의 접근 방법이 초고층 철골 건축물의 내진성능평가 법으로 채택되어져 오고 있다. 신뢰성 이론에 근거한 내진성능평가에 대한 기본 체계와 통계적 연구에 대한 핵심 요소를 요약하였다. dema nd 요소와 capacity 요소의 통계적인 분석을 위하여 국내 기준에 맞는 전형적인 초고층 철골 건축물을 36개 설계하였다. global drift capacity 산정을 위해 철골 모멘트 골조 건물을 증분동해석 하였다.

플래시 메모리를 사용하는 demand paging 환경에서의 태스크 최악 응답 시간 분석 (Worst Case Response Time Analysis for Demand Paging on Flash Memory)

  • 이영호;임성수
    • 한국컴퓨터정보학회논문지
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    • 제11권6호
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    • pp.113-123
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    • 2006
  • 최근 NAND 플래시 메모리를 데이터뿐만 아니라 프로그램 코드를 저장하기 위한 목적으로 사용하는 실시간 시스템이 증가하고 있다. 그러나 데이터의 순차 접근만을 허용하는 NAND 플래시의 물리적인 특성 때문에, NAND 플래시 메모리 기반의 시스템에서는 일반적으로 shadowing 기법을 통해 프로그램을 수행한다. 그러나 shadowing 기법은 시스템의 부팅 시간을 증가시키고 불필요한 DRAM 영역을 차지한다는 단점이 있다. 이에 대한 대안 중 하나는 demand paging 기법을 활용하는 것이다. 그러나 demand paging 환경에서는 프로그램 실행 도중 임의로 발생하는 page fault 때문에 프로그램의 최악 응답 시간을 예측하기 어렵다. 본 논문에서는 demand paging 환경에서의 태스크 최악 응답 시간 분석 기법을 제안한다. 분석 기법은 분석의 정확도와 시간 복잡도에 따라 DP-Pessimistic. DP-Accurate으로 나뉜다. 또한 시뮬레이션을 통해 DP-Pessimistic과 DP-Accurate 분석 기법의 정확도를 비교한다.

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Influences of External Factors on Business Performance of Domestic Animal Feed Enterprises in Vietnam

  • NGUYEN, Van Hau;DUONG, Thi Quynh Lien;QUYNH, To Thi Huong;TRANG, To Thi Thu
    • The Journal of Asian Finance, Economics and Business
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    • 제7권11호
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    • pp.575-583
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    • 2020
  • Vietnam is the country with the largest animal feed production in Southeast Asia. Domestic animal feed manufacturing enterprises play an important role in animal husbandry in particular and in agriculture in general. However, domestic animal feed enterprises in Vietnam are encountering shortcomings. This paper is conducted to investigate the impact levels of external determinants on business performance of domestic animal feed manufacturing enterprises, including: (i) policy and economic mechanism, (ii) supply-demand of animal feed products, and (iii) nature and level of market competition. We presented a research method, explaining the dependent variable 'business performance' and the independent variables. Data were collected from 120 questionnaires from domestic animal feed manufacturing enterprises. Based on these data, we use Cronbach's Alpha, EFA and run regression model for assessing the impact levels of each independent variable on the dependent variable of business performance of domestic animal feed manufacturing enterprises. The results show that three external determinants including (i) policy and economic mechanism, (ii) supply-demand of animal feed products, and (iii) nature and level of market competition, have positive relationships with business performance. Based on the findings, some recommendations are given for improving business performance of domestic animal feed manufacturing enterprises to ensure sustainability.

CFD해석기법을 적용한 다단펌프 성능향상에 관한 연구 (A Study on Performance Improvement of Multi-stage Pump Applying CFD Analysis Technique)

  • 김상유;김재열;고가진
    • 한국기계가공학회지
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    • 제21권3호
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    • pp.70-76
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    • 2022
  • Recently, the demand for ultra-precision processing has increased owing to the increase in the demand for high-performance ultra-precision optical parts in the fields of information technology (IT), bio, healthcare, aerospace, and future automobiles. In this study, a performance improvement of a multi-stage pump was achieved by improving the pump casing structure rather than using the existing performance improvement method. To verify the performance improvement, the CFD analysis reliability of the existing pump, Pump A, was verified using the FLUENT app in the analysis software ANSYS, and the pump casing was improved through the verified CFD analysis of Pump B. Therefore, we want to analyze the performance improvement.