Zondy Cyber Group Co.
Zondy Cyber Group Co.
Lu X.,Hubei Engineering University |
Li J.,Hubei Engineering University |
Gong A.,Zondy Cyber Group Co. |
Li F.,China University of Geosciences
Geological Bulletin of China | Year: 2015
China Geological Survey grid node system constructed by Development and Research Center of China Geological Survey has initially realized the portal autonomy and collaboration as well as sharing of node resources and portal resources. With the development of information technology, there exists the problem as to how to apply big data and Beidou navigation and communication technology on the grid platform. In this paper, the authors first present the upgrading architecture for the grid platform based on cloud architecture. In addition, the key technologies in such fields as the fast building of geological survey middle-ware, the unstructured geological data storage and management and the field geological work safeguard service used by the grid platform are introduced. The results achieved by the authors provide the theoretical basis for the future development of the grid platform. ©, 2015, Science Press. All right reserved.
Zhang F.,Wuhan University |
Zhang F.,Zondy Cyber Group Co. |
Wu X.,Wuhan University |
Wu X.,Zondy Cyber Group Co.
2013 3rd International Conference on Consumer Electronics, Communications and Networks, CECNet 2013 - Proceedings | Year: 2013
This paper presents a lightweight, efficient and scalable microkernel plug-in geospatial information application system of the program and its implementation method. It is used to solve the technology problem, such as flexible, low efficiency, big redundancy of existing geographic information system application function configuration. We have designed a software model called Resource loading manager(RLM). Through the RLM we can achieve efficient allocation of geographic information resources and security management. And through the concrete application in forestry and water conservancy of GIS, we further analyzed the core idea of RLM and its usage. Finally, we design an experiment to verify the effect of the RLM, and analyze the experimental data. © 2013 IEEE.
Wu P.,Hubei Engineering University |
Wu P.,Yangtze University |
Zhou S.,Hubei Engineering University |
Zhou S.,Zondy Cyber Group Co. |
And 4 more authors.
International Journal of Earth Sciences and Engineering | Year: 2014
This paper proposes a new method for building complex geological model rapidly. As the scale of geological data is expanding, an effective method is needed to build complex geological model quickly in the condition of common system requirement. In view of the problem, this paper presents a new scheme which is based on the use of a vertex deletion algorithm to accelerate the modeling process for large-scale data. Experimental results on two different models show that the proposed method is effective for building complex geological model; thereby it can be employed to reduce modeling time and meet the demand of real-time modeling. © 2014 CAFET-INNOVA TECHNICAL SOCIETY.
Han F.,Chongqing Jiaotong University |
Lei M.,Chongqing Jiaotong University |
Zhao W.,Zondy Cyber Group Co. |
Yang J.,Chongqing Jiaotong University
Intelligent Automation and Soft Computing | Year: 2012
Support vector machine has a better classification and prediction performance on balance data classification, but has a poor performance for imbalance data. In this paper, the reason of the poor results which were produced by imbalance data is explained. And a new approach is proposed to solve the imbalance data classification. By this method the imbalance data problem is converted to several independent classifications with balance data and can be trained in parallel. The experiments show that new method has a best effect in some classifying strategy. © 2012 Copyright TSI® Press.