Design and Implementation of Cloud-Dust Based Intelligent System

Chung Chi Huang; Chung Lin Huang; Cong Hui Huang; Sheng Fone Yang

doi:10.4028/www.scientific.net/AMM.764-765.872

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 764-765Design and Implementation of Cloud-Dust Based...

Design and Implementation of Cloud-Dust Based Intelligent System

Abstract:

In the paper, design and Implementation of cloud-dust based intelligent system is proposed. For achieving applications of intelligent system, such as records, surveillance, assessments, predictions, diagnosis, prescription, scheduling and fool-proofing checks, an architecture named Cloud-Dust is developed. The intelligent system is separated into the cloud system and the dust system. The dust system contains (1) Wireless sensors network (2) Features extraction circuits (3) Intelligent computing circuits (4) Embedded system. It can play a role as real-time preprocessor very well, just like an intelligent agent. However, the cloud system contains (1) Cloud database (2) Intelligent computing engine (3) Ubiquitous human-machine-interface. It can flexibly use computing resources and integrate information from many different dust systems. By the experiments, we can find the advantages of the cloud-dust based intelligent system. It meets the both needs of real-time and integration for intelligent systems. So it is necessary to develop the cloud-dust based system for design and implementation of the intelligent system.

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Periodical:

Applied Mechanics and Materials (Volumes 764-765)

Pages:

872-876

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.764-765.872

Citation:

Cite this paper

Online since:

May 2015

Authors:

Chung Chi Huang*, Chung Lin Huang, Cong Hui Huang, Sheng Fone Yang

Keywords:

Cloud-Dust Based, Feature Extraction, Intelligent System, Wireless Sensor Network (WSN)

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* - Corresponding Author

References

[1] Fuqing. Zhao, Yi. Hong, Dongmei. Yu and Yahong. Yang: A Hybrid Approach Based on Artificial Neural Network and Genetic Algorithm for Job-shop Scheduling Problem. Neural Networks and Brain, ICNN&B. International Conference on Beijing., Vol. 3, Nov. 1999, pp.1687-1692.

DOI: 10.1109/icnnb.2005.1614954

Google Scholar

[2] Yanhong. Wang: A Genetic Algorithm for Solving Dynamic Scheduling Problems in Distributed Manufacturing Systems. Intelligent Control and Automation, WCICA. The Sixth World Congress on Dalian, Vol. 2, 2006, pp.7343-7347.

DOI: 10.1109/wcica.2006.1714512

Google Scholar

[3] Jiemin. Zhao: Analysis of a Problem in Artificial Intelligence. 2009 International Conference on Test and Measurement, Vol. 2, Dec. 2009, pp.111-114.

DOI: 10.1109/ictm.2009.5413099

Google Scholar

[4] Kunlin. Zhou: Improving Monitoring Performance of On-Line Process Based on PCA Method. Chinese Control and Decision Conference, May. 2010, pp.4144-4148.

DOI: 10.1109/ccdc.2010.5498401

Google Scholar

[5] Chung-Chi. Huang, Cong-Hui. Huang, Chung-Lin. Huang, Chung-Jui Wu and Sheng-Fone Yang: Wireless Feature Extraction System for Cloud-Dust Based Intelligent System by Using Embedded Wavelet Packet Method. International Conference on Information, Business and Education Technology, Jan. 2013, pp.96-100.

DOI: 10.2991/icibet.2013.45

Google Scholar

[6] Chung-Lin Huang and Chung-Chi Huang: Cloud Computing Based Intelligent Manufacturing Scheduling System Using The Quality Prediction Method. Transactions of the Canadian Society for Mechanical Engineering, Vol. 37, No. 3, Dec. 2013, pp.981-989.

DOI: 10.1139/tcsme-2013-0084

Google Scholar