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Book ChapterDOI

An Improved Robust Low Cost Approach for Real Time Vehicle Positioning in a Smart City

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TLDR
The Global Positioning System (GPS) aided low cost Dead Reckoning (DR) system can provide without interruption the vehicle position for efficient fleet management solutions in smart cities.
Abstract
The Global Positioning System (GPS) aided low cost Dead Reckoning (DR) system can provide without interruption the vehicle position for efficient fleet management solutions in smart cities. The Extended Kalman Filter (EKF) is generally applied for data fusion using the sensor’s measures and the GPS position as a helper.

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Journal ArticleDOI

A survey on data fusion in internet of things: Towards secure and privacy-preserving fusion

TL;DR: The properties of IoTData, a number of IoT data fusion requirements including the ones about security and privacy, classify the IoT applications into several domains and a thorough review on the state-of-the-art of data fusion in main IoT application domains are investigated.
Journal ArticleDOI

Improving Vehicle Localization in a Smart City with Low Cost Sensor Networks and Support Vector Machines

TL;DR: A robust low cost approach using EKF and Support Vector Machines (SVM) to reliably estimate the vehicle position by limiting the EKKF drawbacks is presented.
Book ChapterDOI

A proposal of location aware shopping assistance using memory-based resampling

TL;DR: The authors aim to extend this work in future by implementing their proposed method in a number of different emerging applications (in example, medical applications and real time locator systems).
Book ChapterDOI

Adaptive resampling for emergency rescue location: An initial concept

TL;DR: A good solution for developer to develop a resampling algorithm for different mobile devices or smart phone that can adapt memory specification of mobile device in order to determine which suitable resamplings operation or function for specific mobile device is needed.
Proceedings ArticleDOI

Recent advances in multi-modal data fusion: status, challenges and perspectives

TL;DR: An in-depth review of multi-modal data fusion themes, and an overview of security of data-fusion techniques, is provided which highlights the present gaps within the field that need to be addressed.
References
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Proceedings ArticleDOI

Particle swarm optimization

TL;DR: A concept for the optimization of nonlinear functions using particle swarm methodology is introduced, and the evolution of several paradigms is outlined, and an implementation of one of the paradigm is discussed.
Book

Neural Networks: A Comprehensive Foundation

Simon Haykin
TL;DR: Thorough, well-organized, and completely up to date, this book examines all the important aspects of this emerging technology, including the learning process, back-propagation learning, radial-basis function networks, self-organizing systems, modular networks, temporal processing and neurodynamics, and VLSI implementation of neural networks.

Smart Cities in Europe

TL;DR: In this article, the authors provide a focused and operational definition of the concept of smart city and present consistent evidence on the geography of smart cities in the EU27, for the first time to our knowledge.
Journal ArticleDOI

Smart cities in Europe

TL;DR: In this article, the authors provide a focused and operational definition of the concept of smart city and present consistent evidence on the geography of smart cities in the EU27, for the first time to our knowledge.
Book

Artificial Neural Networks

TL;DR: artificial neural networks, artificial neural networks , مرکز فناوری اطلاعات و اصاع رسانی, کδاوρزی
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