Titlebook: Convergence and Hybrid Information Technology; 6th International Co Geuk Lee,Daniel Howard,You Sik Hong Conference proceedings 2012 Springe

AWE

Viswanathan Vinotha,Vaseeharan Baskaralingameviation prior to creating an indoor localization system. The distance error in the mobile node was reduced by approximately 12% using pre-processing for an indoor localization system, which was verified experimentally.

尖叫

Improvement Scheme and Analysis of Intelligent Web-Based Housing Price Indexlicy. For this purpose, it attempted to analysis the calculation procedures and problem of the Laspeyres Model and the Repeat Sales Model which are the existing index calculation method. It presented and proposed the realtime integrated model linked with the real transaction price DB newly as the improvement scheme based on the results of analysis.

桉树

indifferent

1865-0929 rnational Conference on Convergence and Hybrid Information Technology, ICHIT 2012, held in Daejeon, Korea, in August 2012. The 102 revised full papers presented were carefully reviewed and selected from 196 submissions. The papers are organized in topical sections on communications and networking; s

改变

https://doi.org/10.1007/978-981-99-4129-2ch for synergies among the selected ingredients. It argues that this is fundamentally a possible path to simplify the design, since ingredients are homogenized towards more coherent blueprints. The paper explores raised synergies in a conceptual way and proposes some guidelines to help designing accordingly.

成份

丧失

Hiba Sami,Safiya Firoze,Parvez A. Khantions made by base classifiers. MGA is a hybrid algorithm of Mean Field Annealing (MFA) and Simulated annealing-like Genetic Algorithm (SGA). The proposed MGA combines the benefit of rapid convergence property of MFA and the effective genetic operations of SGA.

乱砍

CHARM

外形

QoS Multicast Routing Scheduling for Multimedia Applications in Wireless Mesh Networkse are determined according to network state and requirements, we construct the dynamic QoS multicast tree using partial multicast routing scheme. We evaluate the performance of the proposed scheme with randomly generated wireless mesh network, by choosing the optimal values for delay bound in response to the changes in multicast group membership.