DataLoc+: A data augmentation technique for machine learning in room-level indoor localization

A Hilal, I Arai, S El-Tawab - 2021 IEEE Wireless …, 2021 - ieeexplore.ieee.org
Indoor localization has been a hot area of research over the past two decades. Since its
advent, it has been steadily utilizing the emerging technologies to improve accuracy, and …

An iterative CrowWhale-based optimization model for energy-aware multicast routing in IoT

DK Shende, YS Angal, SC Patil - International Journal of Information …, 2022 - igi-global.com
This paper proposes an energy-aware multicast routing protocol (MRP) based on the
optimization algorithm named iterative Crow Whale-Energy Trust routing (iterative …

Human behaviour centered design: developing a software system for cultural heritage

J Dugdale, MT Moghaddam, H Muccini - Proceedings of the ACM/IEEE …, 2020 - dl.acm.org
This paper introduces an integrated framework for sustainability and urban security socio-
technical systems. The focus is to design and develop a hardware/software system based on …

Indoor location learning over wireless fingerprinting system with particle Markov chain model

SI Sou, WH Lin, KC Lan, CS Lin - IEEE Access, 2019 - ieeexplore.ieee.org
This paper describes research toward a tracking system for locating persons indoor based
on low-cost Bluetooth Low Energy (BLE) beacons. Wireless fingerprinting based on BLE …

[图书][B] Sustainable construction in the era of the fourth industrial revolution

AE Oke, C Aigbavboa, SS Stephen, WD Thwala - 2021 - taylorfrancis.com
This book provides readers with an understanding of various concepts, benefits, and
practices that the adoption of Fourth Industrial Revolution (4IR) technolo> gies can bring …

FAPRIL: Towards faster privacy-preserving fingerprint-based localization

C van der Beets, R Nieminen… - Cryptology ePrint Archive, 2022 - eprint.iacr.org
Fingerprinting is a commonly used technique to provide accurate localization for indoor
areas, where global navigation satellite systems, such as GPS and Galileo, cannot function …

Belief condensation filtering for RSSI-based state estimation in indoor localization

S Mehryar, P Malekzadeh, S Mazuelas… - ICASSP 2019-2019 …, 2019 - ieeexplore.ieee.org
Recent advancements in signal processing and communication systems have resulted in
evolution of an intriguing concept referred to as Internet of Things (IoT). By embracing the …

An iot-aware aal system to capture behavioral changes of elderly people

L Mainetti, L Patrono, A Secco, I Sergi - Journal of communications …, 2017 - hrcak.srce.hr
Sažetak The ageing of population is a phenomenon that is affecting the majority of
developed countries around the world and will soon affect developing economies too. In …

Exploiting behavioral user models for point of interest recommendation in smart museums

SH Hashemi, J Kamps - New Review of Hypermedia and …, 2018 - Taylor & Francis
ABSTRACT The Internet of Things (IoT) holds the promise to blend real-world and online
behaviors in principled ways, yet we are only beginning to understand how to effectively …

[HTML][HTML] Location based indoor and outdoor lightweight activity recognition system

A Bilbao-Jayo, X Cantero, A Almeida, L Fasano… - Electronics, 2022 - mdpi.com
In intelligent environments one of the most relevant information that can be gathered about
users is their location. Their position can be easily captured without the need for a large …