The Key Laboratory of The Ministry of Education for Process Control and Efficiency Engineering

Fengcheng, China

The Key Laboratory of The Ministry of Education for Process Control and Efficiency Engineering

Fengcheng, China
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Liu Q.,Xianning University | Liu Q.,The key Laboratory of the ministry of education for process control and efficiency engineering | Feng G.,Xianning University | Feng G.,The key Laboratory of the ministry of education for process control and efficiency engineering | And 3 more authors.
Information Systems Frontiers | Year: 2016

Discovering knowledge from data means finding useful patterns in data, this process has increased the opportunity and challenge for businesses in the big data era. Meanwhile, improving the quality of the discovered knowledge is important for making correct decisions in an unpredictable environment. Various models have been developed in the past; however, few used both data quality and prior knowledge to control the quality of the discovery processes and results. In this paper, a multi-objective model of knowledge discovery in databases is developed, which aids the discovery process by utilizing prior process knowledge and different measures of data quality. To illustrate the model, association rule mining is considered and formulated as a multi-objective problem that takes into account data quality measures and prior process knowledge instead of a single objective problem. Measures such as confidence, support, comprehensibility and interestingness are used. A Pareto-based integrated multi-objective Artificial Bee Colony (IMOABC) algorithm is developed to solve the problem. Using well-known and publicly available databases, experiments are carried out to compare the performance of IMOABC with NSGA-II, MOPSO and Apriori algorithms, respectively. The computational results show that IMOABC outperforms NSGA-II, MOPSO and Apriori on different measures and it could be easily customized or tailored to be in line with user requirements and still generates high-quality association rules. © 2016 Springer Science+Business Media New York


Li S.,Xi'an Jiaotong University | Li S.,The Key Laboratory of The Ministry of Education for Process Control and Efficiency Engineering | Sun J.,Xi'an Jiaotong University | Sun J.,The Key Laboratory of The Ministry of Education for Process Control and Efficiency Engineering | And 2 more authors.
Energy Education Science and Technology Part A: Energy Science and Research | Year: 2012

In order to optimize the transportation cost, three common methods utilized in agri-biomass collection-centralized, decentralized and hybrid, are analyzed in this research based on the characteristics of agri-biomass resources. Firstly, assumptions on agri-biomass resources, cost structure, collection area as well as its borders are given to describe the problem of optimizing the transportation cost. Secondly, the concept of envelope circle which is embedded in the collection area is derived and introduced to figure out the corresponding collection parts where centralized and decentralized methods are applied respectively, which helps specifically define the hybrid collection method in the whole collection area. Thirdly, the hybrid method is shown to be an effective method to reduce the transportation cost both in theoretical analysis and in practice based on a case study of a bio-power plant in China. © Sila Science.


Yang C.-H.,Xi'an Jiaotong University | Yang C.-H.,The Key Laboratory of the Ministry of Education for Process Control and Efficiency Engineering | Liu X.-M.,Xi'an Jiaotong University | Liu X.-M.,The Key Laboratory of the Ministry of Education for Process Control and Efficiency Engineering | Wei Z.-X.,Xi'an Jiaotong University
Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice | Year: 2012

Based on the analysis of the operation mechanism between "Company & Farmer" and futures market, this paper studied the optimal hedging and contract price style of the company by constructing an expected utility function. The results show that the optimal short position is smaller than the size of the contract, which held by the liquidity constrained company in inter-temporal unbiased futures market. The fixed price style of the contract can not satisfy the optimality of the expected utility, but the pricing style can do it and make company gain the risk premium. Finally, the validity of the results is discussed and illustrated by numerical analysis.


Sun J.,Xi'an Jiaotong University | Sun J.,The Key Laboratory of The Ministry of Education for Process Control and Efficiency Engineering | Guo J.,Xi'an Jiaotong University | Guo J.,The Key Laboratory of The Ministry of Education for Process Control and Efficiency Engineering | And 2 more authors.
Energy Education Science and Technology Part A: Energy Science and Research | Year: 2012

This research aims to shed light on the difference among three collection strategies for agricultural biomass, i.e. commitment strategy, pure competition strategy and vertical integration strategy. Firstly, the assumptions of biomass distribution, cost structure and market structure are applied to describe the agricultural biomass market, which helps deriving a monotonous increasing inverse demand function that is different from the past research. Secondly, commitment strategy, pure competition strategy and vertical integration strategy are modeled respectively with game theory to explore equilibrium quantities and profits. Thirdly, equilibrium quantities and efficiencies among the three collection strategies are compared to show the co-existence conditions of market structure and their differences. As results show, pure competition strategy is the most efficient among the three; commitment strategy brings the most aggregate biomass supply but is the most inefficient; vertical integration results in the most biomass supply security for integrated industrial buyer, though at the sacrifice of the profit for non-integrated industrial buyer. © Sila Science.

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