CSISE2011 is an integrated conference concentrating its focus upon Computer ScienceIntelligent System and Environment. In the proceeding, you can learn much more knowledge about Computer Science, Intelligent System and Environment of researchers all around the world. The international conference will provide a forum for engineers, scientist, teachers and all researchers to discuss their latest research achievements and their future research plan. The main role of the proceeding is to be used as an exchange pillar for researchers who are working in the mentioned field. In order to meet high standard of Springer´s Advances in Intelligent and Soft Computing ,the organization committee has made their efforts to do the following things. Firstly, poor quality paper has been refused after reviewing course by anonymous referee experts. Secondly, periodically review meetings have been held around the reviewers about five times for exchanging reviewing suggestions. Finally, the conference organization had several preliminary sessions before the conference. Through efforts of different people and departments, the conference will be successful and fruitful. We hope that you can get much more knowledges from our CSISE2011, and we also hope that you can give us good suggestions to improve our work in the future.

Latest research in Computer Science, Intelligent Systems and Environment Vol. 1 of the proceedings of the 2011 International Conference on Computer Science,Intelligent System and Environment (CSISE2011), held at Sept 24-25 2001 in Gaungzhou, China Written by leading experts in the field

Inhalt
From the content: Design and study on Photovoltaic Array Simulator.- Design and Research of Battery Charged Intelligent System.- Accuracy Performances of Asymmetrical Right Circular Flexure Hinge.- The Application of the Pseudo Random Bit Index Sequence in the Image Encryption Algorithm.- Research on the Method of Soft-sensing Intelligent Compensation for BOD Biosensors in Sewage.- A New View on Regional Innovation System from Degree Distribution of Complex Networks Theory with Intelligent Attributes.