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In this paper, we study the data calibration procedure in electrical impedance tomography (EIT) for thorax imaging. Data calibration is an important procedure in EIT imaging as it bridges the gap between simulated data and measured data. Minimizing the systematic error caused by forward modeling could significantly improve the quality of reconstruction. A few factors are investigated in this study...
Automatically predicting age group and gender from face images acquired in unconstrained conditions is an important and challenging task in many real-world applications. Nevertheless, the conventional methods with manually-designed features on in-the-wild benchmarks are unsatisfactory because of incompetency to tackle large variations in unconstrained images. This difficulty is alleviated to some...
Vehicular heterogeneous networks (VHNs) are a special type of wireless vehicular networks. In the VHNs, the nodes choose an access network to download data from the Internet. Most of the existing access network selection mechanisms concentrate on the perspective of individual nodes, only limited work focus on cooperative communications among vehicles. In this paper, a new network selection approach...
A random simulation method is proposed to improve the grey forecasting model. This method is enlightened by Monte Carlo simulation method. It can compare the model error between different grey forecasting models, even between grey model and other forecasting methods. The experiments are used to demonstrate the proposed method, and the results show that this method is effective.
The physics of failure (PoF) methodology is a primary approach for prognostics, especially for those of electronic products and assemblies. This paper summarizes the requirements for developing a generic field deployable prognostic software system using the model-based approach. It then proposes an implementation solution to design such a system while meeting those requirements. It in the end shows...
This paper provides a neural network model to address the problem of travel time prediction. A single segment model based on the state space neural network is used for modeling traffic flow on one single signalized segment. Thus, modelling a longer arterial covering several controlled intersections is conducted by assembling each individual segment models. This reduces significantly the amount of...
The concept of Base Object Model (BOM) which enhances the interoperability and reusability of federates has resolved the problem of ineffective utilization of federates during the process of federation development. However, it does not refer to the control and organization on a simulation execution. It is laborious and time-consuming if we organize a BOM-based simulation execution manually. Since...
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