1. Reliability Models for Smartphone Applications

   http://arxiv.org/abs/2111.06840v1 · arxiv

   Smartphones have become the most used electronic devices. They carry out most of the functionalities of desktops, offering various useful applications that suit the users needs. Therefore, instead of the operator, the user has been the main controller of the device and its applications, therefore it

2. Smartphone camera based pointer

   http://arxiv.org/abs/2004.08030v1 · arxiv

   Large screen displays are omnipresent today as a part of infrastructure for presentations and entertainment. Also powerful smartphones with integrated camera(s) are ubiquitous. However, there are not many ways in which smartphones and screens can interact besides casting the video from a smartphone.

3. Classification of Smartphone Users Using Internet Traffic

   http://arxiv.org/abs/1701.00220v1 · arxiv

   Today, smartphone devices are owned by a large portion of the population and have become a very popular platform for accessing the Internet. Smartphones provide the user with immediate access to information and services. However, they can easily expose the user to many privacy risks. Applications th

4. Smartphone User Fingerprinting on Wireless Traffic

   http://arxiv.org/abs/2511.03229v1 · arxiv

   Due to the openness of the wireless medium, smartphone users are susceptible to user privacy attacks, where user privacy information is inferred from encrypted Wi-Fi wireless traffic. Existing attacks are limited to recognizing mobile apps and their actions and cannot infer the smartphone user ident

5. Brotate and Tribike: Designing Smartphone Control for Cycling

   http://arxiv.org/abs/2009.04192v1 · arxiv

   The more people commute by bicycle, the higher is the number of cyclists using their smartphones while cycling and compromising traffic safety. We have designed, implemented and evaluated two prototypes for smartphone control devices that do not require the cyclists to remove their hands from the ha

6. A Notification Based Nudge for Handling Excessive Smartphone Use

   http://arxiv.org/abs/2507.14702v1 · arxiv

   Excessive use of smartphones is a worldwide known issue. In this study, we proposed a notification-based intervention approach to reduce smartphone overuse without making the user feel any annoyance or irritation. Most of the work in this field tried to reduce smartphone overuse by making smartphone

7. 3D visual analysis of seabed on smartphone

   http://arxiv.org/abs/1504.01049v1 · arxiv

   We create a 'virtual-seabed' platform to realize the 3D visual analysis of seabed on smartphone. The 3D seabed platform is based on a 'section-drilling' model, implementing visualization and analysis of the integrated data of seabed on the 3D browser on smartphone. Some 3D visual analysis functions

8. Experimentation with MANETs of Smartphones

   http://arxiv.org/abs/1702.04249v1 · arxiv

   Mobile AdHoc NETworks (MANETs) have been identified as a key emerging technology for scenarios in which IEEE 802.11 or cellular communications are either infeasible, inefficient, or cost-ineffective. Smartphones are the most adequate network nodes in many of these scenarios, but it is not straightfo

9. The Atwood machine revisited using smartphones

   http://arxiv.org/abs/1506.04119v1 · arxiv

   The Atwood machine is a simple device used for centuries to demonstrate the Newton's second law. It consists of two supports containing different masses joined by a string. Here, we propose an experiment in which a smartphone is fixed to one support. With the aid of the built-in accelerometer of the

10. Scalable Smartphone Cluster for Deep Learning

    http://arxiv.org/abs/2110.12172v1 · arxiv

    Various deep learning applications on smartphones have been rapidly rising, but training deep neural networks (DNNs) has too large computational burden to be executed on a single smartphone. A portable cluster, which connects smartphones with a wireless network and supports parallel computation usin

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