By Taisheng Gong, Rui Fei, Jun Lai, Gaoyong Liang (auth.), Rongbo Zhu, Yanchun Zhang, Baoxiang Liu, Chunfeng Liu (eds.)
This quantity includes the court cases of the overseas convention on Inf- mation Computing and purposes (ICICA 2010), which used to be held in Tangshan, China, October 15-18, 2010. As future-generation details expertise, info computing and functions develop into really good, details computing and functions - cluding undefined, software program, communications and networks are transforming into with ever-increasing scale and heterogeneity and turning into overly complicated. The c- plexity is getting extra severe in addition to the becoming purposes. to deal with the turning out to be and computing complexity, details computing and functions specialize in clever, selfmanageable, scalable computing platforms and functions to the utmost quantity attainable with out human intervention or assistance. With the speedy improvement of knowledge technology and know-how, infor- tion computing has turn into the 3rd technique of technological know-how examine. info computing and purposes is the ?eld of research concerned about developing - telligent computing, mathematical versions, numerical resolution innovations and utilizing pcs to investigate and clear up traditional scienti?c, social scienti?c and engineering difficulties. In sensible use, it truly is usually the appliance of c- puter simulation, clever computing, net computing, pervasive comp- ing, scalable computing, relied on computing, autonomy-oriented computing, evolutionary computing, cellular computing, computational facts, engine- ing computing, multimedia networking and computing, purposes and different kinds of computation difficulties in a number of scienti?c disciplines and engine- ing. info computing and functions is a crucial underpinning for strategies utilized in details and computational technological know-how and there are lots of unresolved difficulties that deal with worthy studying.
Read or Download Information Computing and Applications: International Conference, ICICA 2010, Tangshan, China, October 15-18, 2010. Proceedings, Part II PDF
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Additional resources for Information Computing and Applications: International Conference, ICICA 2010, Tangshan, China, October 15-18, 2010. Proceedings, Part II
Computers and Engineering 29, 377–381 (1995) 10. : Three dimensional limit equilibrium and ﬁnite element analysis: a comparison of results. Soils and Foundations 35, 1–7 (1995) An Integrated and Grid Based Solution of Chemical Applications Qizhi Duan, Zhong Jin, Qian Liu, and Xuebin Chi Super-computing Center, Chinese Academy of Sciences, Beijing 100090, China Abstract.
Fig. 1. One stage of the 2DWT for a pre-processed plain fabric image Fig. 2. 3 LVQ-Based Clustering Learning Vector Quantization uses supervised learning algorithm. The network not only adds tutor signal during the Classification, but also in advance assigns the output neural cell to the specific class. Based on the difference between the class of input vector and the class of winning neural cell, the weighted vector of winning neural cell will move toward input vector, otherwise, it move in reverse direction.
3. 4. 38. 001 is new step, more accurate reduction coeﬃcient is gotten. 374. 374 is regarded as safety fac- 34 Y. Suo Fig. 3. Reduction coeﬃcient in diﬀerent reduction methods (a) x orientation (b) y orientation Fig. 4. 9 Fig. 5. 9 Fig. 6. 374 tor in the traditional single reduction method. 6, respectively. 4, the displacements  in x and y orientations are variable. 6 the top and the toe of the slope are both in the region of slipping, and the variation of node displacement is obvious. While the nodes beyond the region of the slipping are stable so that its displacement variation is relatively slower in the strength reduction process.