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Relevant bibliographies by topics / Adjusted historical simulation

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Journal articles
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Academic literature on the topic 'Adjusted historical simulation'

Author: Grafiati

Published: 4 June 2021

Last updated: 16 February 2022

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Journal articles on the topic "Adjusted historical simulation"

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Scott, Laura, and George Maldonado. "O4E.4 Application of probabilistic bias analysis to adjust for exposure misclassification in a cohort of trichlorophenol workers." Occupational and Environmental Medicine 76, Suppl 1 (2019): A40.2—A40. http://dx.doi.org/10.1136/oem-2019-epi.109.

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This method was developed to demonstrate the application of probabilistic bias analysis to quantify and adjust for exposure misclassification in a historical cohort mortality study of New Zealand trichlorophenol workers where exposure to 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) was measured as a multi-level variable. Published exposure information available for this cohort of workers was used to specify the initial bias parameter distributions, which were then varied under 18 different scenarios to assess the potential impact of differing amounts of misclassification as well as both non-diff

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Wang, Yan, Yang Yan, Zhengjian Li, and Long Cheng. "A Mobile Localization Method in Smart Indoor Environment Using Polynomial Fitting for Wireless Sensor Network." Journal of Sensors 2020 (January 7, 2020): 1–17. http://dx.doi.org/10.1155/2020/6787252.

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The main factor affecting the localization accuracy is nonline of sight (NLOS) error which is caused by the complicated indoor environment such as obstacles and walls. To obviously alleviate NLOS effects, a polynomial fitting-based adjusted Kalman filter (PF-AKF) method in a wireless sensor network (WSN) framework is proposed in this paper. The method employs polynomial fitting to accomplish both NLOS identification and distance prediction. Rather than employing standard deviation of all historical data as NLOS detection threshold, the proposed method identifies NLOS via deviation between fitt

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Sanchez Lozano, Jorge, Giovanni Romero Bustamante, Riley Chad Hales, et al. "A Streamflow Bias Correction and Performance Evaluation Web Application for GEOGloWS ECMWF Streamflow Services." Hydrology 8, no. 2 (2021): 71. http://dx.doi.org/10.3390/hydrology8020071.

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We present the development and testing of a web application called the historical validation tool (HVT) that processes and visualizes observed and simulated historical stream discharge data from the global GEOGloWS ECMWF streamflow services (GESS), performs seasonally adjusted bias correction, computes goodness-of-fit metrics, and performs forward bias correction on subsequent forecasts. The HVT corrects GESS output at a local scale using a technique that identifies and corrects model bias using observed hydrological data that are accessed using web services. HVT evaluates the performance of t

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Gu, Xinchen, Guang Yang, Xinlin He, et al. "Hydrological process simulation in Manas River Basin using CMADS." Open Geosciences 12, no. 1 (2020): 946–57. http://dx.doi.org/10.1515/geo-2020-0127.

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AbstractThe inability to conduct hydrological simulations in areas that lack historical meteorological data is an important factor limiting the development of watershed models, understanding of watershed water resources, and ultimate development of effective sustainability policies. This study focuses on the Manas River Basin (MRB), which is a high-altitude area with no meteorological stations and is located on the northern slope of the Tianshan Mountains, northern China. The hydrological processes were simulated using the China Meteorological Assimilation Driving Datasets for the SWAT model (

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Dittmer, Celina, Johannes Krümpel, and Andreas Lemmer. "Modeling and Simulation of Biogas Production in Full Scale with Time Series Analysis." Microorganisms 9, no. 2 (2021): 324. http://dx.doi.org/10.3390/microorganisms9020324.

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Future biogas plants must be able to produce biogas according to demand, which requires proactive feeding management. Therefore, the simulation of biogas production depending on the substrate supply is assumed. Most simulation models are based on the complex Anaerobic Digestion Model No. 1 (ADM1). The ADM1 includes a large number of parameters for all biochemical and physicochemical process steps, which have to be carefully adjusted to represent the conditions of a respective full-scale biogas plant. Due to a deficiency of reliable measurement technology and process monitoring, nearly none of

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Golubev, Vladimir, and Tatyana Litvinova. "Dynamic simulation of industrial-scale gibbsite crystallization circuit." Journal of Mining Institute 247 (March 16, 2021): 88–101. http://dx.doi.org/10.31897/pmi.2021.1.10.

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Population balance model is crucial for improving the method of aluminum hydroxide massive crystallization and enhancing the quality of control over industrial precipitation trains. This paper presents the updated population balance model, which can be used for simulation of industrial-scale precipitation. Processes of birth-and-spread and particle breakage are considered integral parts of the precipitation process along with secondary nucleation, growth and agglomeration of particles. The conceptual difference of the proposed system of equations is its ability to reproduce the oscillatory pro

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Ewen, Martin. "Where is the Risk Reward? The Impact of Volatility-Based Fund Classification on Performance." Risks 6, no. 3 (2018): 80. http://dx.doi.org/10.3390/risks6030080.

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This paper examines the impact of volatility-based fund classification on portfolio performance. Using historical data on equity indices, we find that a strategy based on long-term portfolio volatility, as is imposed by the Synthetic Risk Reward Indicator (SRRI), yields better Sharpe Ratios (SR) and Buy and Hold Returns (BHR) than passive investments. However, accounting for the Fama–French factors in the historical data reveals no significant alphas for the vast majority of the strategies. Further analyses conducted by running a simulation study based on a GJR(1,1)-model show no significant d

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Wei, Lin, Yongqing Wu, Hua Fu, and Yuping Yin. "Modeling and Simulation of Gas Emission Based on Recursive Modified Elman Neural Network." Mathematical Problems in Engineering 2018 (2018): 1–10. http://dx.doi.org/10.1155/2018/9013839.

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For the purpose of achieving more effective prediction of the absolute gas emission quantity, this paper puts forward a new model based on the hidden recurrent feedback Elman. The recursive part of classic Elman cannot be adjusted because it is fixed. To a certain extent, this drawback affects the approximation ability of the Elman, so this paper adds the correction factors in recursive part and uses the error feedback to determine the parameters. The stability of the recursive modified Elman neural network is proved in the sense of Lyapunov stability theory, and the optimal learning rate is g

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Scott, Laura, and George Maldonado. "O8C.1 A probabilistic bias-analysis method for evaluating disease misclassification in a historical cohort mortality study of trichlorophenol workers." Occupational and Environmental Medicine 76, Suppl 1 (2019): A74.1—A74. http://dx.doi.org/10.1136/oem-2019-epi.198.

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Occupational epidemiologists have long considered death certificate inaccuracies a critical issue when conducting historical cohort mortality (HCM) studies. However, the vast majority of these types of studies do not include a quantitative assessment of the impact of disease misclassification on study results. We developed a probabilistic bias-analysis method to evaluate the effect of disease misclassification using ischemic heart disease (IHD) mortality data from a cohort study of New Zealand trichlorophenol workers exposed to 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD). The sensitivity and sp

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Qian, Taotao, Aiguo Dai, Kevin E. Trenberth, and Keith W. Oleson. "Simulation of Global Land Surface Conditions from 1948 to 2004. Part I: Forcing Data and Evaluations." Journal of Hydrometeorology 7, no. 5 (2006): 953–75. http://dx.doi.org/10.1175/jhm540.1.

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Abstract Because of a lack of observations, historical simulations of land surface conditions using land surface models are needed for studying variability and changes in the continental water cycle and for providing initial conditions for seasonal climate predictions. Atmospheric forcing datasets are also needed for land surface model development. The quality of atmospheric forcing data greatly affects the ability of land surface models to realistically simulate land surface conditions. Here a carefully constructed global forcing dataset for 1948–2004 with 3-hourly and T62 (∼1.875°) resolutio

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Dissertations / Theses on the topic "Adjusted historical simulation"

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Costa, Fabiola Medina. "O uso da volatilidade realizada na simulação histórica ajustada para cálculo do VaR." reponame:Repositório Institucional do FGV, 2010. http://hdl.handle.net/10438/6967.

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Submitted by Fabiola Costa (famedina06@hotmail.com) on 2010-08-24T14:18:56Z No. of bitstreams: 1 Dissertacao_Fabiola_Medina_Costa.pdf: 981365 bytes, checksum: 368c8b3a6a54c3a8e7c0f62130bcf2a3 (MD5)<br>Approved for entry into archive by Vitor Souza(vitor.souza@fgv.br) on 2010-08-24T14:39:21Z (GMT) No. of bitstreams: 1 Dissertacao_Fabiola_Medina_Costa.pdf: 981365 bytes, checksum: 368c8b3a6a54c3a8e7c0f62130bcf2a3 (MD5)<br>Made available in DSpace on 2010-08-24T17:42:48Z (GMT). No. of bitstreams: 1 Dissertacao_Fabiola_Medina_Costa.pdf: 981365 bytes, checksum: 368c8b3a6a54c3a8e7c0f62130bcf2a3

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Conference papers on the topic "Adjusted historical simulation"

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Fast, Magnus, Mohsen Assadi, and Sudipta De. "Condition Based Maintenance of Gas Turbines Using Simulation Data and Artificial Neural Network: A Demonstration of Feasibility." In ASME Turbo Expo 2008: Power for Land, Sea, and Air. ASMEDC, 2008. http://dx.doi.org/10.1115/gt2008-50768.

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Gas turbine maintenance is crucial due to high cost for the replacement of its components and associated loss of power during shutdown period. Conventional scheduled maintenance, based on equivalent operating hours, is not the best alternative as it can require unnecessary shut downs. Condition based maintenance is an attractive alternative as it decreases unnecessary shut downs and has other advantages for both the manufacturers and the plant owners. However, this has shown to be a complex/difficult task. A number of methods and approaches have been presented to develop condition monitoring t

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Mata, Carlos, Luigi Saputelli, Dorzhi Badmaev, et al. "Automated Reservoir Management Workflows to Identify Candidates and Rank Opportunities for Production Enhancement and Cost Optimization in a Giant Field in Offshore Abu Dhabi." In Offshore Technology Conference. OTC, 2021. http://dx.doi.org/10.4043/31295-ms.

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Abstract As the field matures and overall field production decline, an accelerated and advanced selection of existing wells for workovers and sidetracks would be critical to meet with the increasing demand for production. Traditionally, an intensive effort is required to identify the right candidates and to ensure the technical and economic success of well interventions, infill-drilling locations and sidetrack locations. An advanced workflow is developed to automate the repetitive and less added value tasks such as data gathering and validation. The data set included historical production perf

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Loboda, Igor, Victor Manuel Pineda Molina, and Juan Luis Pérez-Ruiz. "Adjustment and Validation of Monitoring System Algorithms on the Simulated Historical Data of an Aircraft Engine Fleet." In ASME Turbo Expo 2021: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/gt2021-60020.

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Abstract In the field of gas turbine diagnostics, a significant gap is observed between the variety of proposed and investigated diagnostic solutions and a narrow group of algorithms employed in real monitoring systems. One of the explanations is that diagnostic algorithms of a monitoring system (system components) are usually developed and verified separately from each other. An additional explanation is related to simplified simulated data used to verify the algorithms. The present paper aims to adjust and validate the joint operation of the algorithms of a gas turbine monitoring system duri

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Kunze, V. R., M. Wolff, M. D. Barringer, K. A. Thole, and M. D. Polanka. "Numerical Insight Into Flow and Thermal Patterns Within an Inlet Profile Generator Comparing to Experimental Results." In ASME Turbo Expo 2006: Power for Land, Sea, and Air. ASMEDC, 2006. http://dx.doi.org/10.1115/gt2006-90276.

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Historically the design of gas turbine engines have not considered the interaction between the combustor and turbine stages. High pressure turbine vane stages have been designed assuming inlet conditions consistent with a standard turbulent boundary layer profile. However, combustor exit flow entering the vane is known to be highly non-uniform in both the primary and secondary flow regimes. In order to develop higher performance, more efficient, longer life stages, turbine design must take into account combustor exit non-uniformities. The Turbine Research Facility (TRF) at Wright-Patterson Air

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Arlitt, Ryan M., and Douglas L. Van Bossuyt. "Toward a Generative Human-in-the-Loop Approach for Conceptual Design Exploration Using Flow Failure Frequency in Functional Models." In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-85490.

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A challenge systems engineers and designers face when applying system failure risk assessment methods such as Probabilistic Risk Assessment (PRA) during conceptual design is their reliance on historical data and behavioral models. This paper presents a framework for exploring a space of functional models using graph rewriting rules and a qualitative failure simulation framework that presents information in an intuitive manner for human-in-the-loop decision-making and human-guided design. An example is presented wherein a functional model of an electrical power system is iteratively perturbed t

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Jung, Hyung-Jo, Jeong-Su Park, and Jeong-Hoi Koo. "Dynamic Analysis of a Smart Base-Isolation System Based on MR Elastomers." In ASME 2010 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. ASMEDC, 2010. http://dx.doi.org/10.1115/smasis2010-3764.

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This paper presents a numerical investigation of a smart base isolation system employing magneto-rheological (MR) elastomers or an MR elastomer-based base isolation system. MR elastomers are a new class of smart materials whose elastic modulus or stiffness can be adjusted depending on the magnitude of the applied magnetic field. Hence, they can be used as controllable stiffness elements in engineering systems. The primary goal of this study is to investigate the dynamic performance of the smart base-isolation in mitigating excessive vibrations of a building structure under earthquake loadings.

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Rodgers, Lennon, Daniel Frey, and Erik Wilhelm. "Estimating an Electric Vehicle’s “Distance to Empty” Using Both Past and Future Route Information." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-12880.

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An electric vehicle’s Distance to Empty (DTE) is defined as the actual distance the vehicle can be driven before recharging is required. A real-time estimate is commonly displayed on the vehicle’s electronic instrument cluster and is used by the driver to plan their route. It is proved in this paper that the challenge for any DTE estimation algorithm is to accurately predict the future energy consumption of a vehicle. Future energy can be predicted reliably if either (i) future energy consumption is sufficiently similar to the past or (ii) applicable information about the future is known befor

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Yin, Xiong, Kai Wen, Yan Wu, Lei Zhou, and Jing Gong. "Study on Intelligent Controller Design of Flow Metrological Calibration System." In 2020 13th International Pipeline Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/ipc2020-9557.

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Abstract In recent years, China ramped up imports of natural gas to satisfy the growing demand, which has increased the number of trade meters. Natural gas flowmeters need to be calibrated regularly at calibration stations to ensure their accuracy. Nowadays, the flow metrological calibration process is done by the operator manually in China, which is easy to be affected by personnel experience and proficiency. China is vigorously developing industry 4.0 and AI(artificial intelligence) technologies. In order to improve the calibration efficiency, a design scheme of intelligent controller for fl

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Prueter, Phillip E. "Techniques for Simulating Creep Damage Evolution at Welds With Emphasis on Evaluating Longitudinal Seam Peaking in High-Temperature Piping Systems." In ASME 2018 Symposium on Elevated Temperature Application of Materials for Fossil, Nuclear, and Petrochemical Industries. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/etam2018-6710.

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Realistically simulating the creep response of welded components can help quantify the risk associated with operating inservice, high-temperature equipment and can validate new component designs in the power generation and petrochemical industries. Detailed finite element analysis (FEA) is employed in this study and is coupled with generalized, non-linear creep simulation techniques to investigate the elevated temperature response of welds. Depending on original heat treatment, creep damage progression is known to be accelerated by the mismatch in properties of the base metal, weld deposit, an

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Arnold, Daniel B., Michael D. Sankur, and David M. Auslander. "Optimal Control of Office Plug-Loads for Commercial Building Demand Response." In ASME 2013 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/dscc2013-3827.

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While historically the electrical energy resource a commercial building may utilize during a Demand Response (DR) event has been limited to building HVAC and/or lighting systems, enabling technologies such as smart power strips (SPSs) and Energy Information Gateways (EIGs) have made distributed control over commercial office plug loads a reality. This paper investigates coordinated optimal control over plug loads in a commercial building during a DR event. Control over local office plug loads is accomplished via the use of a software entity, the Energy Information Gateway, which employs a bina

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