By Chuanbo Wen, Yun Liang (auth.), Fu Lee Wang, Hepu Deng, Yang Gao, Jingsheng Lei (eds.)
The 2010 foreign convention on man made Intelligence and Computational Intelligence (AICI 2010) used to be held October 23–24, 2010 in Sanya, China. The AICI 2010 bought 1,216 submissions from 20 nations and areas. After rigorous reports, one hundred and five high quality papers have been chosen for book within the AICI 2010 complaints. The reputation fee used to be 8%. the purpose of AICI 2010 was once to collect researchers operating in lots of assorted parts of man-made intelligence and computational intelligence to foster the trade of recent principles and advertise foreign collaborations. as well as the big variety of submitted papers and invited periods, there have been numerous the world over recognized keynote audio system. On behalf of the Organizing Committee, we thank Hainan Province Institute of computing device and Qiongzhou collage for its sponsorship and logistics aid. We additionally thank the participants of the Organizing Committee and this system Committee for his or her exertions. we're very thankful to the keynote audio system, invited consultation organizers, consultation chairs, reviewers, and pupil helpers. final yet now not least, we thank the entire authors and contributors for his or her nice contributions that made this convention possible.
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Additional info for Artificial Intelligence and Computational Intelligence: International Conference, AICI 2010, Sanya, China, October 23-24, 2010, Proceedings, Part II
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35 1 2 3 4 5 6 7 8 Element NO. 9 10 11 12 13 Fig. 7. Average identification results for case 3 using GA Presented in Fig. 5 to Fig. 7 are the average identification results using GA for three damage cases. On the x axis are plotted element numbers and on the y axis is plotted damaged index. The square mark represents the actual damage scenario and the solid circle represents the identification results: the closer the circle is to the square mark, the better the prediction is. The results show that damage is successfully identified in all cases.
SWR probe was installed to measure stem water content. Leaf water potential and sap flow velocity were measured by water potential system (PS Ψ PRO) and SF-L sensor respectively. 5m above the ground. Measurements were monitored every 2 hours from 8:00 to 16:00 in sunny days. 1. shows the stem volumetric water content θ and the output voltage UAB of the transmission line from the calibration test. It indicated that UAB was increased as θ increased. 9268. from t test, it shows that no difference between the two samples using the single SWR sensor.
3 Material and Methods The tests were performed in March 2008 on the campus in Beijing Forestry University in the southwestern Negev region (Latitude 39 ° 56 ', longitude 116 ° 17'). The main soil types for the tidal wetland soil texture for the loam. Climate is sub-humid warm with Arid windy spring, hot summer and rainy autumn, high dry and cold winter. To verify the feasibility of the SWR technology, one 5-yr-old Yulan Magmolia tree about 3m tall (with a diameter of 20cm) was chosen. 1 Calibration Tests To address the empirical relation between the volumetric water content and the output voltage, two sapwood samples were cut from a freshly felled 18cm diameter Yulan Magmolia tree.