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Titlebook: Smart Computing and Communication; First International Meikang Qiu Conference proceedings 2017 Springer International Publishing AG 2017 c

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樓主: ACE313
51#
發(fā)表于 2025-3-30 11:26:46 | 只看該作者
Conference proceedings 2017na, in December 2016. The 59 papers presented in this volume were carefully reviewed and selected from 210 submissions. . The conference focuses on both smart computing and communications fields and aims to collect recent academic work to improve the research and practical applications.
52#
發(fā)表于 2025-3-30 16:03:03 | 只看該作者
53#
發(fā)表于 2025-3-30 19:08:13 | 只看該作者
54#
發(fā)表于 2025-3-30 22:57:01 | 只看該作者
SDN Protocol Analysis with Process Algebra Method,r, a formalization method with algebra to analysis SDN protocol is proposed. The method is self-contained and universal to any protocol analysis. With the method we can formally analysis the detail of SDN protocol to find the uncertain and shortcoming aspects.
55#
發(fā)表于 2025-3-31 04:28:39 | 只看該作者
56#
發(fā)表于 2025-3-31 08:54:48 | 只看該作者
57#
發(fā)表于 2025-3-31 09:25:20 | 只看該作者
,Human Activity Recognition Based on Smart Phone’s 3-Axis Acceleration Sensor,activities monitoring system is developed on android, and comparison of several feature extraction and classification algorithms is carried out. Based on the monitoring system, a feature called (TF4+FFT10) is proposed. Experiment result shows that the recognition accuracy rate of feature (TF4+FFT10) with the adopted KNN algorithm is 98.6?%.
58#
發(fā)表于 2025-3-31 14:55:15 | 只看該作者
A Genetic-Ant-Colony Hybrid Algorithm for Task Scheduling in Cloud System, to complete users’ tasks faster. Simulation experiment results in CloudSim show that, comparing with genetic algorithm and ant colony optimization algorithm alone, the hybrid algorithm has better performance in the aspects of load balancing and optimal time span.
59#
發(fā)表于 2025-3-31 19:04:14 | 只看該作者
0302-9743 submissions. . The conference focuses on both smart computing and communications fields and aims to collect recent academic work to improve the research and practical applications.978-3-319-52014-8978-3-319-52015-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
60#
發(fā)表于 2025-3-31 21:53:00 | 只看該作者
Cost Reduction for Data Allocation in Heterogenous Cloud Computing Using Dynamic Programming,vironment. Non-distributive manner has some limitation, such as overload energy and low performance resource allocation mechanism. This paper address on this issue and propose an approach to find out the optimal data allocation plan for minimizing total costs of the distributed heterogeneous cloud m
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