Results 81 to 90 of about 991,075 (322)
Uncertainty as Commitment [PDF]
SSRN Electronic Journal, 2013 Time-inconsistency of no-bailout policies can create incentives for banks to take excessive risks and generate endogenous crises when the government cannot commit. However, at the outbreak of nancial problems, usually the government is uncertain about their nature, and hence it may delay intervention to learn more about them.
Jaromir Nosal +2 more
openaire +4 more sources
Uncertainty Analysis of Neutron Diffusion Eigenvalue Problem Based on Reduced-order Model
Yuanzineng kexue jishu, 2023 In order to improve the efficiency of core physical uncertainty analysis based on sampling statistics, the proper orthogonal decomposition (POD) and Galerkin projection method were combined to study the application feasibility of reduced-order model ...
In order to improve the efficiency of core physical uncertainty analysis based on sampling statistics, the proper orthogonal decomposition (POD) and Galerkin projection method were combined to study the application feasibility of reduced-order model based on POD-Galerkin method in core physical uncertainty analysis. The two-dimensional two group TWIGL benchmark question was taken as the research object, the key variation characteristics of the core flux distribution were extracted under the finite perturbation of the group constants of each material region, and the full-order neutron diffusion problem was projected on the variation characteristics to establish a reduced-order neutron diffusion model. The reduced-order model was used to replace the full-order model to carry out the uncertainty analysis of the group constants of the material region. The results show that the bias of the mathematical expectation of keff calculated by reduced-order and full-order models is close to 1 pcm. In addition, compared with the calculation time required for uncertainty analysis of full-order model, the analysis time of reduced-order model (including the calculation time of the full-order model required for the construction of reduced-order model) is only 11.48%, which greatly improves the efficiency of uncertainty analysis. The biases of mathematical expectation of keff calculated by reduced-order and full-order models based on Latin hypercube sampling and simple random sampling are less than 8 pcm, and under the same sample size, the bias from the Latin hypercube sampling result is smaller. From the TWIGL benchmark test results, under the same sample size, Latin hypercube sampling method is more recommended for POD-Galerkin reduced-order model.
doaj
Journal of Industrial Engineering and Management, 2014 Purpose: The aim of this paper is to deal with the supply chain management (SCM) with quantity discount policy under the complex fuzzy environment, which is characterized as the bi-fuzzy variables.
Zhe Zhang, Jiuping Xu
doaj +1 more source
Education SciencesCollaboration skills are essential for the effectiveness and efficiency of collective efforts in both professional and personal contexts. However, their complex and intertwined nature poses challenges in both defining and assessing them.
Emmanouil A. Demetroulis +7 more
doaj +1 more source
Transport, 2013 The aim of this paper is to deal with the optimal navigation coordinated scheduling (NCS) problem in ship transportation of the Three Gorges Project in China, i.e. the Three Gorges Dam and the Gezhouba Dam. The NCS includes operational scheduling for two
Jiuping Xu +2 more
doaj +1 more source
Uncertainty principles for the windowed offset linear canonical transform [PDF]
arXiv, 2019 The windowed offset linear canonical transform (WOLCT) can be identified as a generalization of the windowed linear canonical transform (WLCT). In this paper, we generalize several different uncertainty principles for the WOLCT, including Heisenberg uncertainty principle, Hardy's uncertainty principle, Beurling's uncertainty principle, Lieb's ...
arxiv
Logit-based Uncertainty Measure in Classification [PDF]
arXiv, 2021 We introduce a new, reliable, and agnostic uncertainty measure for classification tasks called logit uncertainty. It is based on logit outputs of neural networks. We in particular show that this new uncertainty measure yields a superior performance compared to existing uncertainty measures on different tasks, including out of sample detection and ...
arxiv
Planning for uncertainty [PDF]
Frontiers in Psychology, 2012 A commentary on The nature of belief-directed exploratory choice in human decision-making by Knox, W. B., Otto, A. R., Stone, P., and Love, B. C. (2012). Front. Psychology 2:398. doi: 10.3389/fpsyg.2011.00398 With every choice there is a forgone choice, or opportunity cost. When I choose to dine at a particular restaurant, not only am I giving
openaire +4 more sources
Gaming for the Education of Biology in High Schools
EncyclopediaGame-based learning refers to an educational approach where games (digital or analogue) are used in order to engage students in interactive and immersive experiences designed to teach specific concepts, skills or subjects.
Marina Lantzouni +2 more
doaj +1 more source
Uncertainty principle for the two-sided quaternion windowed linear canonical transform [PDF]
arXiv, 2021 In this paper, we investigate the (two-sided) quaternion windowed linear canonical transform (QWLCT) and study the uncertainty principles associated with the QWLCT. Firstly, several important properties of the QWLCT such as bounded, shift, modulation, orthogonality relation, are presented based on the spectral representation of the quaternionic linear ...
arxiv