Automatic depression prediction using internet traffic characteristics on smartphones

C Yue, S Ware, R Morillo, J Lu, C Shang, J Bi… - Smart Health, 2020 - Elsevier
Depression is a serious mental health problem. Recently, researchers have proposed novel
approaches that use sensing data collected passively on smartphones for automatic …

Flow aggregation for SDN‐based delay‐insensitive traffic control in mobile core networks

QT Minh, A Van Le, TK Dang, T Nam… - IET …, 2019 - Wiley Online Library
Mobile core networks have seen serious network resource contention among a huge
amount of delay‐sensitive and delay‐insensitive traffic leading to network congestion or …

Statistical analysis and characterization of signaling and user traffic of a commercial multi-band LTE system

C Vargas Anamuro, A Blanc, X Lagrange - Telecommunication Systems, 2024 - Springer
Abstract The fourth-generation (4 G) cellular network is currently the dominant mobile
technology used worldwide. The analysis of the network behavior can help forecast the …

Examining TCP short flow performance in cellular networks through active and passive measurements

J Garcia, S Alfredsson, A Brunstrom - … of the 5th Workshop on All Things …, 2015 - dl.acm.org
In this study we examine the conditions in a current cellular network by examining data
passively collected in the core of a cellular operator during a 24-hour period. More than 2 …

Separation of background and foreground traffic based on periodicity analysis

QT Minh, H Koto, T Kitahara, L Chen… - 2015 IEEE Global …, 2015 - ieeexplore.ieee.org
This paper proposes a novel approach to separating background (BG) and foreground (FG)
traffic based on periodicity analysis. As BG traffic is commonly periodically generated by …

Framework and implementation of online smartphone traffic classification according to quality sensitivity

N Fukumoto, K Nakamura, M Suzuki… - 2019 IEEE ComSoc …, 2019 - ieeexplore.ieee.org
Currently smartphones have become the most prevalent device used on the Internet and
they generate a substantial portion of Internet traffic. Smartphones can run a wide variety of …

An effective flow aggregation for SDN-based background and foreground traffic control

QT Minh, A Van Le, TK Dang, T Nam… - 2018 15th IEEE …, 2018 - ieeexplore.ieee.org
Core networks have to contend with a huge amount of traffic, making the networks heavy,
congested or even fail, specifically at peak times. However, not all traffic has to be processed …

Delay-insensitive traffic detection and transfer on network edges

TM Quang, A Le Van, TK Dang, T Nam… - 2016 18th Asia …, 2016 - ieeexplore.ieee.org
Background (BG) traffic generated automatically by applications or the operating system on
devices is delay-insensitive traffic as it does not immediately affect user experiences …

[PDF][PDF] Smart Health

C Yue, S Ware, R Morillo, J Lu, C Shang, J Bi… - nlab.engr.uconn.edu
Depression is a serious mental health problem. Recently, researchers have proposed novel
approaches that use sensing data collected passively on smartphones for automatic …

An Effective Approach to Background Traffic Detection

QT Minh - Future Data and Security Engineering: Second …, 2015 - Springer
Background (BG) traffic detection is an important task in network traffic analysis and
management which helps to improve the QoS and QoE network services. Quickly detecting …