Introduction to Uncertainties Within

What is/are Uncertainties Within?

Uncertainties Within - In this context, there is a need for approaches that offer a compromise between computing the vast amount of long input series and adequately addressing the uncertainties within a reasonable time span. ^[1] Last but not least, it is important to consider different sources of uncertainties within the numerical model when scrutinising a turbulence model, as ignoring the contributions to the total error may lead to biased conclusions. ^[2] Intuitionistic fuzzy soft set (IFSS) accommodates more uncertainties within the information by considering the parameterization feature than the intuitionistic fuzzy sets and hence its applications are more extensive. ^[3] This approach yields a robust controller that is not only reliable in the presence of actuator faults, but also non-fragile against uncertainties within itself. ^[4] With the guidance of stakeholders, we demonstrate a scenario analysis methodology to elucidate the interactions among various components and uncertainties within the food, energy and water systems of the Kenai River Watershed. ^[5] Both methods are shown to have uncertainties within the specified uncertainty limits required by testing standards and are applied to evaluate the influence of geometrical parameters (corrugation angle and corrugation depth) on the effectiveness of FBRs. ^[6] It is based on the concept of measuring chains and allows the uniform description of functions and uncertainties within a conventional sensor or SME application. ^[7] Sensitivity analyses were performed to account for the uncertainties within the estimate of cost utility, using both a probabilistic sensitivity analysis and two one-way sensitivity analyses with varying crossover rates after the 6-month nonsurgical treatment had concluded. ^[8] The COVID-19 pandemic has caused risks and uncertainties within the tourism industry as in all industries across the world. ^[9] This study applies the Metropolis–Hasting algorithm to characterise the uncertainties within an SMA material model and to provide insight into its parameter uncertainty. ^[10] Uncertainties within a 95% confidence interval (unc) were computed by the correlation Statistics method. ^[11] This is hampered by uncertainties within and across comprehensive climate models, and the relative importance and nature of contributing factors are not fully understood. ^[12] In both experiments, the proposed method is able to provide good estimates of the parameters along with a level of confidence reflected by the uncertainties within. ^[13] These assumptions are compulsory to follow when generating a non-domestic energy performance certificate in the UK, therefore, any uncertainties within them can affect all the buildings seeking an energy performance certificate within that sector. ^[14] The hierarchy of uncertainties from both phase maps and uncertainties within each phase is modeled using an explicit Gaussian mixture random field. ^[15] 0, uncertainties within a complex canyon can lower the glare probability to 0. ^[16] For this, distribution market operators dealing with uncertainties within the central day-ahead market prices is studied through two main approaches; the scenario-based approach to minimize the expected cost and the min-max regret as a robust risk-averse approach. ^[17] However, forecasts of ash hazard remain deterministic, and lack quantification of the uncertainty that arises from the estimation of eruption source parameters, meteorology and uncertainties within the dispersion model used to perform the simulations. ^[18] The proposed controller compensates for disturbances and uncertainties within the bandwidth of a low-pass filter. ^[19] For the higher blends, the largest discrepancies were noted at low temperatures, indicating that uncertainties within the low temperature n-butanol chemistry need to be resolved. ^[20] In this paper, a robust linear-quadratic-gaussian (LQG) controller with a Loop Transfer Recovery (LTR) procedure and a polynomial-based feedforward prediction (FP) algorithm is proposed to compensate the adverse effects due to time delay and uncertainties within the RTHS testing system. ^[21] In spite of the benefits, uncertainties within the processes and high investment costs deter firms from implementing and adopting this technology. ^[22] of single points) are mostly untraceable due to the uncertainties within the topographic model. ^[23] The fuzzy sliding mode control is free of modeling of system dynamics, thus it is robust to couplings and uncertainties within the exoskeleton dynamical model. ^[24] This reduces the risk arising from uncertainties within the ore body as far as geological and metallurgical information are concern and also improve decision making process during the production stage of the. ^[25]

Parameter Uncertainties Within

Albeit the impact of introducing physically based parameter uncertainties within the bounds of aerosol uncertainties is small, their influence on the solar and longwave radiation balances may still have important implications for global model simulations of future climate scenarios. ^[1] Simulation results demonstrate the effectiveness of the proposed control scheme over a wide range of rotor speeds as well as good robustness against parameter uncertainties within -5to + 10% for inductance and -5to + 5% for resistance parameters. ^[2] To mitigate the need for the lumped parameter uncertainties within the backstepping controller, an online adaptive observer based on RRBFNN is designed to estimate the nonlinear parameter uncertainties. ^[3]

Geometrical Uncertainties Within

For this reason, research was performed in both UQ and RDM and developing methods to handle a large number of simultaneous uncertainties including generalized geometrical uncertainties within a quantifiable objective of a turnaround time acceptable for industrial readiness. ^[1] The UMRIDA project, which stands for Uncertainty Management for Robust Industrial Design in Aeronautics, addresses these objectives by performing major research in both UQ and RDM and developing methods to handle a large number of simultaneous uncertainties including generalized geometrical uncertainties within a quantifiable objective of a turn-around time acceptable for industrial readiness. ^[2]

Epistemic Uncertainties Within

Integrating epistemic uncertainties within the PCE framework results in a computationally efficient paradigm for propagation and sensitivity evaluation. ^[1] The aim of this work is to establish and quantify the impact that epistemic uncertainties within RANS solvers have on the aerodynamic and aeroelastic response of the combat aerial vehicle. ^[2]

Policy Uncertainties Within

We use a relatively novel TVP-VAR method to calculate spillovers and explore determinants of spillovers of categorical policy uncertainties within and across China and US. ^[1] Effective measures to rapidly reduce the demand of electricity are urgently needed to deal with future electricity prices and government policies uncertainties within the energy industry. ^[2]

Dependent Uncertainties Within

In addition, unsupervised learning is applied to uncover geospatially-dependent uncertainties within the prediction model. ^[1] It is also shown that the proposed methodology is capable of handling state dependent uncertainties within the ship maneuvering model. ^[2]

Variou Uncertainties Within

Adaptive robust optimization (ARO) is leveraged to handle various uncertainties within the proposed system: (i) demand response signals sending from the distribution system operator (DSO); (ii) arrival state-of-charge (SoC) conditions of plug-in electric vehicles (PEVs); (iii) power outputs of renewable energy sources (RESs); and (iv) load demand of other appliances. ^[1] Offshore asset construction is a complex and costly process that is subject to various uncertainties within the entire supply chain. ^[2]

Associated Uncertainties Within

From this perspective, this study explores the use of long-term radar reflectivity for South Korea to obtain a nationwide calibrated Z-R relationship and the associated uncertainties within a Bayesian inference framework. ^[1] From this perspective, this study explores the use of a long-term radar reflectivity factor for South Korea to obtain a nationwide calibrated power law relationship, Z = α ∙ R β , where R is the rainfall intensity and Z is the reflectivity factor, in the context of bias-correction and the associated uncertainties within a Bayesian regression framework. ^[2]

Largest Uncertainties Within

Moreover, the diurnal variations of the SPAR parameter (inferred from CCN measurements) due to SA formation varied with RH conditions, which was one of the largest uncertainties within NCCN predictions. ^[1] Moreover, the diurnal variations of the SPAR parameter (inferred from CCN measurements) due to SA formation varied with RH conditions, which was one of the largest uncertainties within NCCN predictions. ^[2]

uncertainties within nccn

Moreover, the diurnal variations of the SPAR parameter (inferred from CCN measurements) due to SA formation varied with RH conditions, which was one of the largest uncertainties within NCCN predictions. ^[1] Moreover, the diurnal variations of the SPAR parameter (inferred from CCN measurements) due to SA formation varied with RH conditions, which was one of the largest uncertainties within NCCN predictions. ^[2]