DeepAI AI Chat
Log In Sign Up

VJAĠĠ– A Thick-Client Smart-Phone Journey Detection Algorithm

08/28/2019
by   Michael P. J. Camilleri, et al.
0

In this paper we describe Vjaġġ, a battery-aware journey detection algorithm that executes on the mobile device. The algorithm can be embedded in the client app of the transport service provider or in a general purpose mobility data collector. The thick client setup allows the customer/participant to select which journeys are transferred to the server, keeping customers in control of their personal data and encouraging user uptake. The algorithm is tested in the field and optimised for both accuracy in registering complete journeys and battery power consumption. Typically the algorithm can run for a full day without the need of recharging and more than 88 would be missing part of the journey.

READ FULL TEXT

page 12

page 17

page 23

04/11/2018

Mobile Device Synchronisation with Central Database based on Data Relevance

Distributed applications are broadly used due the existence of mobile de...
05/16/2019

EVSO: Environment-aware Video Streaming Optimization of Power Consumption

Streaming services gradually support high-quality videos for better user...
04/07/2015

Mobile Phone Based Vehicle License Plate Recognition for Road Policing

Identity of a vehicle is done through the vehicle license plate by traff...
09/06/2020

Blockchain-based Federated Learning for Device Failure Detection in Industrial IoT

Device failure detection is one of most essential problems in industrial...
01/22/2021

Understanding the Tradeoffs in Client-Side Privacy for Speech Recognition

Existing approaches to ensuring privacy of user speech data primarily fo...
09/30/2022

Embedded System Performance Analysis for Implementing a Portable Drowsiness Detection System for Drivers

Drowsiness on the road is a widespread problem with fatal consequences; ...
06/16/2018

Mitigating Botnet Attack Using Encapsulated Detection Mechanism (EDM)

Botnet as it is popularly called became fashionable in recent times owin...