x86-Android performance improvement for x86 smart mobile devices

2014 ◽  
Vol 28 (10) ◽  
pp. 2770-2780 ◽  
Author(s):  
Min Choi ◽  
Seung-Ho Lim
Keyword(s):  
Mobile Devices ◽  
Performance Improvement ◽  
Smart Mobile ◽  
Smart Mobile Devices

Context-Aware Photography Learning for Smart Mobile Devices

2015 ◽  
Vol 12 (1s) ◽  
pp. 1-24 ◽  
Author(s):  
Yogesh Singh Rawat ◽  
Mohan S. Kankanhalli
Keyword(s):  
Mobile Devices ◽  
Context Aware ◽  
Smart Mobile ◽  
Smart Mobile Devices

Ultrasound Proximity Networking on Smart Mobile Devices for IoT Applications

2019 ◽  
Vol 6 (1) ◽  
pp. 399-409 ◽  
Author(s):  
Ed Novak ◽  
Zhuofan Tang ◽  
Qun Li
Keyword(s):  
Mobile Devices ◽  
Iot Applications ◽  
Smart Mobile ◽  
Smart Mobile Devices

Deflectometry measurement system for smart mobile devices

2017 ◽  
Vol 10 (2) ◽  
pp. 267-279
Author(s):  
冀翼 JI Yi ◽  
张学军 ZHANG Xue-jun ◽  
袁婷 YUAN Ting ◽  
陶小平 TAO Xiao-ping
Keyword(s):  
Mobile Devices ◽  
Measurement System ◽  
Smart Mobile ◽  
Smart Mobile Devices

scholarly journals A new energy-preserving cloud offloading algorithm for smart mobile devices

2019 ◽  
Vol 1 (1) ◽  
pp. 5
Author(s):  
Samar A. Said ◽  
Sameh A. Salem ◽  
Samir G. Sayed
Keyword(s):  
Mobile Devices ◽  
New Energy ◽  
Smart Mobile ◽  
Smart Mobile Devices

scholarly journals A Security Situation Assessment Model of Information System for Smart Mobile Devices

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Lixia Xie ◽  
Liping Yan ◽  
Xugao Zhang ◽  
Hongyu Yang
Keyword(s):  
Information System ◽  
Mobile Devices ◽  
Weight Vector ◽  
Assessment Model ◽  
Interval Matrix ◽  
Security Level ◽  
Entropy Weight ◽  
Situation Assessment ◽  
Smart Mobile ◽  
Smart Mobile Devices

The accuracy of the existing security situation assessment model of information system for smart mobile devices is affected by expert evaluation preferences. This paper proposes an information system security situation assessment model for smart mobile devices, which is based on the modified interval matrix-entropy weight-based cloud (MIMEC). According to the security situation assessment index system, the interval judgment matrix reflecting the relative importance of different indexes is modified to improve the objectivity of the index layer weight vector. Then, the entropy weight-based cloud is used to quantify the criterion layer and the target layer security situation index, and the security level of the system is graded. The evaluation experiment on the departure control system for smart mobile devices not only verify the validity of this model but also demonstrate that this model has higher stability and reliability than other models.

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