scholarly journals Personalization of Web Browsing for Novice Users

2010 ◽  
Vol 1 (24) ◽  
pp. 41-45 ◽  
Author(s):  
Samudra Banerjee ◽  
Arindam Chatterjee ◽  
Indrajit Mukherjee
Keyword(s):  
Web Browsing ◽  
Novice Users

Private Web Browsing

1997 ◽  
Author(s):  
Paul F. Syverson ◽  
Michael G. Reed ◽  
David M. Goldschlag
Keyword(s):  
Web Browsing

Characterizing Embedded Web Browsing in Mobile Apps

2021 ◽  
pp. 1-1
Author(s):  
Deyu Tian ◽  
Yun Ma ◽  
Aruna Balasubramanian ◽  
Yunxin Liu ◽  
Gang Huang ◽  
...  
Keyword(s):  
Mobile Apps ◽  
Web Browsing ◽  
Embedded Web

scholarly journals Improving Web QoE Monitoring for Encrypted Network Traffic through Time Series Modeling

2021 ◽  
Vol 48 (4) ◽  
pp. 37-40
Author(s):  
Nikolas Wehner ◽  
Michael Seufert ◽  
Joshua Schuler ◽  
Sarah Wassermann ◽  
Pedro Casas ◽  
...  
Keyword(s):  
Neural Networks ◽  
Time Series ◽  
Recurrent Neural Networks ◽  
Quality Of Experience ◽  
Unique Feature ◽  
Time Series Modeling ◽  
Web Browsing ◽  
Large Dataset ◽  
Efficient Approximation

This paper addresses the problem of Quality of Experience (QoE) monitoring for web browsing. In particular, the inference of common Web QoE metrics such as Speed Index (SI) is investigated. Based on a large dataset collected with open web-measurement platforms on different device-types, a unique feature set is designed and used to estimate the RUMSI - an efficient approximation to SI, with machinelearning based regression and classification approaches. Results indicate that it is possible to estimate the RUMSI accurately, and that in particular, recurrent neural networks are highly suitable for the task, as they capture the network dynamics more precisely.

scholarly journals Assessing Stability of Crutch Users by Non-Contact Methods

2021 ◽  
Vol 18 (6) ◽  
pp. 3001
Author(s):  
Achilles Vairis ◽  
Suzana Brown ◽  
Maurice Bess ◽  
Kyu Hyun Bae ◽  
Jonathan Boyack
Keyword(s):  
Signal To Noise Ratio ◽  
Time Derivative ◽  
Assistive Devices ◽  
Signal To Noise ◽  
Physically Disabled ◽  
Significant Difference ◽  
Novice Users ◽  
Noise Ratio ◽  
Physically Disabled People

Enhancing gait stability in people who use crutches is paramount for their health. With the significant difference in gait compared to users who do not require an assistive device, the use of standard gait analysis tools to measure movement for temporary crush users and physically disabled people proves to be more challenging. In this paper, a novel approach based on video analysis is proposed as non-contact low-cost solution to the more expensive alternative with the data collected from processed videos, two values are calculated: the Signal to Noise Ratio (SNR) of acceleration, and the Signal to Noise Ratio of the jerk (time derivative of acceleration), to assess the user’s stability while they walk with crutches. The adopted methodology has been tested on a total of 10 participants. Five are temporary users of assistive devices with one being a long-term user and the other four novice users, and five are disabled participants who use those assistive devices permanently. Preliminary results show differences between novice users, long-term users, and physically disabled users. The approach is promising and could improve the assessment of crutch user stability, allowing for the correction of gait for individuals while using an inexpensive non-contact setup and preventing unnecessary falls.

Development of a Web Browsing Support System Using Eye Movements

2020 ◽  
Author(s):  
Taiga Mori ◽  
Takahide Otomo ◽  
Yusuke Nosaka ◽  
Eriko Ishii ◽  
Yuko Hoshino ◽  
...  
Keyword(s):  
Eye Movements ◽  
Support System ◽  
Web Browsing
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