BACKGROUND Policy decisions regarding climate change mitigation are increasingly incorporating the beneficial and adverse health impacts of greenhouse gas emission reduction strategies. Studies of such co-benefits and co-harms involve modeling approaches requiring a range of analytic decisions that affect the model output. OBJECTIVE Our objective was to assess analytic decisions regarding mod...

This publication addresses the issues of modeling, uncertainty quantification, model validation and numerical predictability. With the increasing role of numerical simulation in science, technology as well as every day decision-making, assessing the predictive accuracy of computer models becomes essential. Conventional approaches such as finite element model updating or Bayesian inference are u...

In this paper, we investigate a discrete-time approach to uncertainty modeling for robust control. We show via simulations of one LTI system and experimental data from a onetank test-bed that a current technique for time-domain uncertainty modeling leads to a feasible linear program. Hence, it is useful for developing robust control solutions.

Projections of climate change impact are associated with a cascade of uncertainties including in CO2 emission scenarios, climate models, downscaling and impact models. The relative importance of the individual uncertainty sources is expected to depend on several factors including the quantity that is projected. In the present study the impacts of climate model uncertainty and geological model u...

a review of damages caused by landslide shows the need for studying effective parameters in landslide occurrence and prediction. this study aims to improve landslide prediction results for tutkabon region in gilan province. to this end, shannon entropy theory was employed for modeling and considering data uncertainty. slope, height, geomorphologic conditions, earth’s curve, closeness to river, ...

We examine the impact of development process modeling on outcomes in software development projects, limiting our attention to process and product quality. Modeling the software development process requires a careful determination of tasks and their logical relationships. Essentially, the modeling is undertaken to establish a management framework of the project. We de®ne and interrelate developm...

The rapid development of computer graphics and imaging provides the modern archeologist with several tools to realistically model and visualize archeological sites in 3D. This, however, creates a tension between veridical and realistic modeling. Visually compelling models may lead people to falsely believe that there exists very precise knowledge about the past appearance of a site. In order to...

Uncertainty quantification is not often performed in spatial analysis and modeling applications. One reason is the lack of tools which can handle various kinds of uncertainty associated with spatial data. In particular, positional uncertainty in objects is often ignored. There has been much research in regards to the modeling of different kinds of positional uncertainty (e.g., measurement error...

This paper investigates two chattering-free finite-time controllers for the rigid spacecraft attitude tracking control problem considering modeling uncertainty and external disturbance. First, the basic controller is designed utilizing integral terminal sliding mode surface (ITSMS) with prior knowledge of the total system uncertainty consisting of modeling uncertainty and external disturbance. ...