In this paper, a bi-level game-theoretic model is proposed to investigate the effects of governmental financial intervention on green supply chain. This problem is formulated as a bi-level program for a green supply chain that produces various products with different environmental pollution levels. The problem is also regard uncertainties in market demand and sale price of raw materials and pro...

A novel data-driven stochastic robust optimization (DDSRO) framework is proposed for optimization under uncertainty leveraging labeled multi-class uncertainty data. Uncertainty data in large datasets are often collected from various conditions, which are encoded by class labels. Machine learning methods including Dirichlet process mixture model and maximum likelihood estimation are employed for...

Due to the increasing use of digital medical images, a need exists to develop an approach for automatic image annotation, which provides textual labels for images. Thus added labels can be used to access images using textual queries. Automatic image annotation can be separated into two individual tasks: feature extraction and image classification. In this paper, the authors present feature extr...

Business intelligence (BI) is one of the technology areas that have grown tremendously. BI describes a set of concepts and methods based on data for improving business decision making. BI capabilities have become one of the important business and technical capabilities. However, BI capabilities have remained largely unexamined in academic literature. Current understandings of BI capabilities ar...

This paper presents new Chinese question taxonomy respectively from approach and semantic viewpoints. According to the taxonomy, we propose a SVM classification algorithm which is based on multiple features. The experimental results show that: 1 Lexical semantic features and structural features are the guarantee of high performance of question classification; 2 The contribution of dependency re...

• Elaborate and build upon a growing body of sociological knowledge concerned with cultural resistance and oppositional cultures • Emphasise the significance of human agency in mediating progressive social change • Analyse the innovative ways in which subordinated minority social groups, in this case indigenous Australians, negotiate ‘bi-culturality’, that is, the interface between indigenous c...

In this paper, a novel framework is proposed to study impacts of regulatory incentive on distributed generation (DG) investment in sub-transmission substations, as well as upgrading of upstream transmission substations. Both conventional and wind power technologies are considered here. Investment incentives are fuel cost, firm contracts, capacity payment and investment subsidy relating to wind ...

This paper describes a methodology for transmission expansion planning (TEP) within a deregulated electricity market. Two objective functions including investment cost (IC) and congestion cost (CC) are considered. The proposed model forms a bi-level optimization problem in which upper level problem represents an independent system operator (ISO) making its decisions on investment while in the l...