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Massively parallel simulation of large-scale electromagnetic problems is performed on a supercomputer using an in-house developed high-performance computing scheme together with a domain decomposition method, where parallel adaptive unstructured mesh generation is at first performed for modeling an arbitrary multiscale structure. The accuracy, speedup, as well as scalability of such parallel scheme...
Predicting the High Intensity Radiated Field (HIRF) coupling in complex system is highly required in the aeronautic industry, which can be performed by electromagnetic simulation. But the validation of electromagnetic simulation is a difficult issue which needs proper flowchart and validation methods. In this paper, the numerical simulation by the parallel Finite-Difference Time-Domain (FDTD) method...
In this paper, we address adaptive predictor feedback design for a simplified drilling system in the presence of disturbance and time-delay. The main objective is to stabilize the bottomhole pressure at a critical depth at a desired set-point directly. The stabilization of the dynamic system and the asymptotic tracking are demonstrated by the proposed adaptive control, where the adaptation employs...
This paper presents a new type of two-stage fuzzy generalized assignment problem (FGAP) models with critical value-at-risk (VaR) criteria based on credibility theory and two-stage fuzzy optimization method. Since the proposed FGAP model often includes fuzzy coefficients defined through known possibility distributions, it is inherently an infinite-dimensional optimization problem that can rarely be...
The aim of this paper is to investigate the conflict resolution in a large-scale construction projects using multi-attribute decision-making theory and to aggregate group's preference information. Multi-attribute decision analysis theory and flexible theory are integrated with bargaining theory to coordinate controversial issues among stakeholders in construction project when computer-based automated...
Overbooking has been studied intensively. However, those studies have paid little attention to the effect of penalty cost and degree of airlines' risk aversion on the decision-making. A cost model like a newsboy model is presented for optimal overbooking level of air cargo with stochastic capacity and penalty cost. Then the overbooking model of air cargo was proposed under the Conditional value-at-risk...
Conditional random fields (CRFs) model is the valid probabilistic model to segment and label sequence data. Comparing with other statistical models, such as HMM, MEHMM, CRFs process the data sequence in terms of the context of data. Chunk analysis is a shallow parsing method to simplify natural language processing. And entity relation extraction is used in establishing relationship between entities...
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