Luo Zhong

Publications (11)0.35 Total impact

• Article: Intelligent forecasting of sintered ore’s chemical components based on SVM

  Luo Zhong, Qingbo Wang, Jingling Yuan
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  ABSTRACT: Using object mathematical model of traditional control theory can not solve the forecasting problem of the chemical components of sintered ore. In order to control complicated chemical components in the manufacturing process of sintered ore, some key techniques for intelligent forecasting of the chemical components of sintered ore are studied in this paper. A new intelligent forecasting system based on SVM is proposed and realized. The results show that the accuracy of predictive value of every component is more than 90%. The application of our system in related companies is for more than one year and has shown satisfactory results. Key wordssintered ore–support vector machine–intelligent forecasting–nonlinear regression–optimized control
  Journal of Wuhan University of Technology-Mater Sci Ed 05/2012; 26(3):583-587. · 0.35 Impact Factor
• Conference Proceeding: Research on 3G Mobile Learning Based on Cloud Service

  Luo Zhong, Qingji Xue, Hua Liu, Jingling Yuan
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  ABSTRACT: This paper discusses the characteristics and key techniques of 3G mobile learning based on cloud services. Our research mainly focuses on mobile learning mode including active mode, passive mode and hybrid mode. And personalized learning method and resource integration approach are applied and analyzed. At last, we propose to employ cloud computing to mobile learning and build basic framework and simulation application for 3G mobile learning based on cloud services.
  E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on; 12/2010
• Conference Proceeding: Knowledge Reduction Algorithm Based on Relative Conditional Partition Granularity.

  Jingling Yuan, Hongfu Du, Luo Zhong
  2010 IEEE International Conference on Granular Computing, GrC 2010, San Jose, California, USA, 14-16 August 2010; 01/2010
• Conference Proceeding: Data Mining in Traffic Flow Analysis of City Tunnel.

  Chengqian Ma, Jingling Yuan, Luo Zhong, Xi Yue
  First International Workshop on Database Technology and Applications, DBTA 2009, Wuhan, Hubei, China, April 25-26, 2009, Proceedings; 01/2009
• Conference Proceeding: Grey Neural Network Based Predictive Model for Multi-core Architecture 2D Spatial Characteristics.

  Jingling Yuan, Tao Jiang, Jingjing He, Luo Zhong
  Advances in Neural Networks - ISNN 2009, 6th International Symposium on Neural Networks, ISNN 2009, Wuhan, China, May 26-29, 2009, Proceedings, Part I; 01/2009
• Conference Proceeding: An Improved Greedy Based Global Optimized Placement Algorithm.

  Luo Zhong, Kejing Wang, Jingling Yuan, Jingjing He
  The Sixth International Symposium on Neural Networks, ISNN 2009, Wuhan, China, May 26-29, 2009, Proceedings, Part IV; 01/2009
• Conference Proceeding: Optimized Grey RBF Prediction Model Based on Genetic Algorithm.

  Jingling Yuan, Xiaoyan Li, Luo Zhong
  International Conference on Computer Science and Software Engineering, CSSE 2008, Volume 1: Artificial Intelligence, December 12-14, 2008, Wuhan, China; 01/2008
• Conference Proceeding: Gray Compensating RBF Prediction Model Based on Structural Risk.

  Luo Zhong, Xuan Xiao, Jingling Yuan
  International Conference on Computer Science and Software Engineering, CSSE 2008, Volume 4: Embedded Programming / Database Technology / Neural Networks and Applications / Other Applications, December 12-14, 2008, Wuhan, China; 01/2008
• Conference Proceeding: Modeling of Grey Neural Network and Its Applications.

  Jingling Yuan, Luo Zhong, Xiaoyan Li, Jie Li
  Advances in Computation and Intelligence, Third International Symposium, ISICA 2008, Wuhan, China, December 19-21, 2008 Proceedings; 01/2008
• Conference Proceeding: The Dynamic Grey Radial Basis Function Prediction Model and its Applications.

  Jingling Yuan, Luo Zhong, Yang Yu
  First International Conference on Innovative Computing, Information and Control (ICICIC 2006), 30 August - 1 September 2006, Beijing, China; 01/2006
• Article: Energy Aware Resource Scheduling Algorithm for Data Center Using Reinforcement Learning

  Jingling Yuan, Xing Jiang, Luo Zhong, Hui Yu
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  ABSTRACT: More and more attention is paid for energy consumption aware and power control for data center with the emergency of energy crisis. The use of virtualization technology makes it possible for dynamic configuration of data center resources. The N:1 mapping visualization technology is employed to integrate many physical machines into an virtual resource pool to control resources centralized, and then reinforcement learning is applied to resource management and decision making for an uncertain task flow data center. Finally, an automatic resource control algorithm with energy consumption aware is proposed. This algorithm is implemented in the Cloud Sim platform to improve the energy consumption of the data center. The experimental results show that our algorithm can reduce about 40% of the energy consumption of the non-power-aware data center and reduce 1.7% of that of the greedy scheduling algorithm in data center.
  Intelligent Computation Technology and Automation, International Conference on.