Conference paper 2020

Mobile Book Reader Based on Reading Behavior Characteristics

Proceedings - IEEE 18th International Conference on Dependable, Autonomic and Secure Computing, IEEE 18th International Conference on Pervasive Intelligence and Computing, IEEE 6th International Conference on Cloud and Big Data Computing and IEEE 5th Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2020
Conference · pp. 306-311
Abstract

With the rapid development of the network communication technology and the popularity of mobile devices, mobile reading has become an essential reading approach. Aiming at the shortcomings of reading applications on the mobile platform such as the deficiency on the strategy of caching books and the lack of predicting reading pages with current power, we developed a mobile book reader (MBR) for android devices. It can dynamically cache the page contents to be read according to users' reading speed, and predict the number of reading pages supported by remaining power in text and voice reading modes. We tested the space occupancy of cache files and remaining reading time. The experimental results show that the cache strategy in MBR can effectively relieve the storage pressure of the device, and the prediction of remaining reading time helps users to arrange the reading plan. © 2020 IEEE.

Keywords

Author Keywords

Cache Mobile Reading Pages Prediction Reading Speed

Index Keywords

Big data Digital storage Forecasting Behavior characteristic Current power Mobile platform Network communications Reading speed Remaining Power Storage pressures
Author Affiliations
College of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, Zhejiang, China
Faculty of Human Sciences, Waseda University, Tokyo, Japan
Funding & Acknowledgements
Grant: jg20160071
ACKNOWLEDGMENT This work is supported by the National Natural Science Foundation of China under Grants No. 61877015, No. 61572164, No. 61473109, No. 61272315, the ReformProject of Higher Education in Zhejiang under Grants No. jg20160071, Zhejiang ProvincialNatural Science Foundation under Grant No. LY19F020016, and the project of education planning in Zhejiang under Grants No. 2018SCG005.
Grant: 2018SCG005, LY19F020016
ACKNOWLEDGMENT This work is supported by the National Natural Science Foundation of China under Grants No. 61877015, No. 61572164, No. 61473109, No. 61272315, the ReformProject of Higher Education in Zhejiang under Grants No. jg20160071, Zhejiang ProvincialNatural Science Foundation under Grant No. LY19F020016, and the project of education planning in Zhejiang under Grants No. 2018SCG005.
National Natural Science Foundation of China, NSFC
Grant: 61272315, 61473109, 61572164, 61877015
ACKNOWLEDGMENT This work is supported by the National Natural Science Foundation of China under Grants No. 61877015, No. 61572164, No. 61473109, No. 61272315, the ReformProject of Higher Education in Zhejiang under Grants No. jg20160071, Zhejiang ProvincialNatural Science Foundation under Grant No. LY19F020016, and the project of education planning in Zhejiang under Grants No. 2018SCG005.
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