Journal of Liaoning Petrochemical University
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The Progress of Sodium-Ion Battery Anode Material

Zhang Jie, Yang Zhanxu
Abstract718)      PDF (1163KB)(890)      

     Sodium ion batteries have attracted tremendous attentions due to its rich resources, low cost, high efficiency and good chemical stability, and can satisfy people's demand for energy in the new era, which are considered a top alternative to lithiumion batteries. The research progress on sodium ion battery anode materials are reviewed in details in this paper, including carbon-based materials, low voltage metal phosphates, the sodium storage alloys, metal oxides, titanium-based materials, and other negative electrode materials. Then the characteristics of anode materials are discussed. Finally, some future directions for sodiumion battery anode materials are pointed out.

2016, 36 (1): 7-11. DOI: 10.3696/j.issn.1672-6952.2016.01.001
Application of CRM Based on Data Mining  Technology in Petrochemical Enterprise
WANG Zheng-yang, LIU Yang, ZHANG Jie, YU Chen-yun, ZHOU Jin-zhi
Abstract579)      PDF (405KB)(208)      
The application of data mining in CRM (Customer Relationship Management) is a hot spot in recent years. CRM refers to the enterprise's approach to understand and influence customer behavior through meaningful communications in order to improve customer acquisition, customer retention, customer loyalty, and customer profitability. Adopting different services to different customers is based on the accumulation of vast amounts of data by the enterprise. The effective way to get the knowledge from these data is the technology of DM (Data Mining), which will provide basis for leader's decision-making, and achieve the objectives of CRM. The basic theory of the customer relationship management and data mining technology, and the application of DM in petrochemical enterprise CRM were discussed.
2009, 29 (4): 78-80.
A Deciding Algorithm of Full Binary Tree Completely Based on Height
ZHANG Li-qun, ZHANG Jie
Abstract315)      PDF (236KB)(177)      
By analyzing the characteristic of full binary tree, an equivalence definition was obtained. A decision algorithm of full binary tree completely based on height was provided by the equivalence definition. The algorithm solved the traditional deciding problem of full binary tree. The traditional method needs not only calculate binary tree height but also count branch node numbers. The new decision algorithm enriched the deciding methods of full binary tree. The application shows that the decision algorithm of full binary tree completely based on height runs accurately and the decision result is creditable.
2009, 29 (2): 60-62.