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A Ligthweight Wayfinding Assistance System for IoT Applications

Mouna Afif, Riadh Ayachi, Mohamed Atri
2021 Trends Journal of Sciences Research  
In this paper, we propose to design an indoor sign detection system for industry 4.0.  ...  The paper provides a comprehensive overview of a new method for a set of landmark indoor sign objects based on deep convolutional neural network (DCNN) for internet of things applications.  ...  We present in this section a new design of an internet of things-based deep learning system for indoor way finding assistance.  ... 
doi:10.31586/jaibd.2021.147 fatcat:roshkphc6zcxjdc4vcusjlqu2y

Smart and Cooperative Sensor Networks

Hongke Zhang, Sy-Yen Kuo, Sajal K. Das, Mikael Gidlund
2014 International Journal of Distributed Sensor Networks  
Qiu et al. presents a novel localization scheme on localization of CPS by reorganizing the fingerprint signatures for improving the indoor localization accuracy.  ...  In the paper "Application of wireless sensor networks for indoor temperature regulation," B. R. Stojkoska et al. propose a framework for indoor temperature regulation and  ...  Qiu et al. presents a novel localization scheme on localization of CPS by reorganizing the fingerprint signatures for improving the indoor localization accuracy.  ... 
doi:10.1155/2014/789352 fatcat:qizqvcrfyfeqlf5jyaljyx5kye

Sensors and Sensing Technologies for Indoor Positioning and Indoor Navigation

Francesco Potortì, Filippo Palumbo, Antonino Crivello
2020 Sensors  
The potential applications of indoor localization are all-encompassing, from home to wide public areas, from IoT and personal devices to surveillance and crowd behavior applications, and from casual use  ...  The papers included in this special issue provide useful insights to the implementation, modelling, and integration of novel technologies and applications, including location-based services, indoor maps  ...  We are also grateful to the anonymous reviewers for their valuable input, comments, and suggestions for the submitted papers.  ... 
doi:10.3390/s20205924 pmid:33092181 pmcid:PMC7589669 fatcat:s3kgzxfvdzbojolptgamik5npa

Guest editorial

Chenguang Yang, Bin Xu, Shuai Li, Xuefeng Zhou
2021 Assembly Automation  
For the research of sensor fusion-perception, an efficient mobile robot indoor localization method is proposed in the paper "An EKF based Multiple Data Fusion for Mobile Robot Indoor Localization" through  ...  RFID applications for mobile RFID robots.  ... 
doi:10.1108/aa-06-2021-273 fatcat:n34wkxxwbvbolh24w3bntzn424


C. Basri, A. Elkhadimi
2020 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
This paper highlights the importance of indoor localization in internet of things applications, gives a comprehensive review of indoor positioning techniques and methods implemented in IoT networks, and  ...  Location-based services are actually, due to development of networks, sensors, wireless communications and machine learning algorithms, able to collect and transmit data in order to determine the target  ...  INDOOR LOCALIZATION APPLICATIONS FOR IOT The fields of application of Internet of Things concepts and technologies are numerous, the most advanced are Smart cities, industry, agriculture, management, healthcare  ... 
doi:10.5194/isprs-archives-xliv-4-w3-2020-121-2020 fatcat:2f5qi5ds6ffkvo6v6mfujestsu

Machine Learning Based Indoor Localization Using Wi-Fi RSSI Fingerprints: An Overview

Navneet Singh, Sangho Choe, Rajiv Punmiya
2021 IEEE Access  
Based on various practical issues related to large delays, high design cost, and limited performance, conventional localization techniques are not practical for indoor IoT applications.  ...  To provide good direction for future research, we discuss the current challenges and potential solutions related to ML-based indoor localization systems.  ...  FIGURE 1 . 1 ML-based indoor localization application scenarios. FIGURE 2 . 2 RSSI fingerprint (Wi-Fi).  ... 
doi:10.1109/access.2021.3111083 fatcat:7o6zb7kycrgftfpsukuwnsl24m

Hybrid Machine Learning Classifiers for Indoor User Localization Problem

Hamza Turabieh, Ahmad S. Alghamdi
Several applications highlight the importance of indoor user localization such as disaster management, health care zones, Internet of Things applications (IoT), and public settlement planning.  ...  Using Wi-fi technology introduces an indoor localization service(s) (ILS). Determining indoor user location is a hard and complex problem.  ...  Hybrid Machine Learning Classifiers for Indoor User Localization Problem Many applications provide services to the end-users based on their locations such as smart cities and buildings [8, 9, 10] , health  ... 
doi:10.35940/ijitee.c8375.0110321 fatcat:ohwt5wxylvcrzodswblzw7cjvq

Machine Learning Based Approach for Indoor Localization Using Ultra-Wide Bandwidth (UWB) System for Industrial Internet of Things (IIoT)

Fuhu Che, Abbas Ahmed, Qasim Zeeshan Ahmed, Syed Ali Raza Zaidi, Muhammad Zeeshan Shakir
2020 2020 International Conference on UK-China Emerging Technologies (UCET)  
With the rapid development of wireless communication technology and the emergence of the Industrial Internet of Things (IIoT)s applications, high-precision Indoor Positioning Services (IPS) are urgently  ...  While the Global Positioning System (GPS) has been a key technology for outdoor localization, its limitation for indoor environments is well known.  ...  However, with this continuous expansion and increased uptake for Industrial Internet of Things (IIoT)s, the application of Indoor Positioning Services (IPS) including commercial applications such as logistics  ... 
doi:10.1109/ucet51115.2020.9205352 dblp:conf/ucet/CheAAZS20 fatcat:yiic7gg5irc7xcqj7ucq5ibpwm

Indoor Space Classification Using Cascaded LSTM

Rohan Kumar Yadav, Bimal Bhattarai, Lei Jiao, Morten Goodwin, Ole-Christoffer Granmo
2020 2020 15th IEEE Conference on Industrial Electronics and Applications (ICIEA)  
Indoor space classification is an important part of localization that helps in precise location extraction, which has been extensively utilized in industrial and domestic domain.  ...  There are various approaches that employ Bluetooth Low Energy (BLE), Wi-Fi, magnetic field, object detection, and Ultra Wide Band (UWB) for indoor space classification purposes.  ...  Besides, the number of subspaces can be increased in bigger indoor place for commercial and industrial application.  ... 
doi:10.1109/iciea48937.2020.9248347 fatcat:yrxbwpjvunchjcsqfkjyhfy2eq

On-Device Learning of Indoor Location for WiFi Fingerprint Approach

Marco Nuño-Maganda, Hiram Herrera-Rivas, Cesar Torres-Huitzil, Heidy Marisol Marín-Castro, Yuriria Coronado-Pérez
2018 Sensors  
The proposed indoor application achieves high classification rates, above 89%, for at least 10 different locations in indoor environments, where each location has a minimum separation of 0.5 m.  ...  Then, from the tested classifiers in the early stage, only the top-five classifiers were integrated with the proposed mobile indoor positioning, based on the accuracy obtained for the test scenarios.  ...  The algorithm complexity criterion is based on the techniques utilized for indoor localization.  ... 
doi:10.3390/s18072202 pmid:29987211 pmcid:PMC6069136 fatcat:f7oh5rzkv5g2phtwvebekv5cay

Editorial for special collection on the estimation and control of MAV navigation in GPS-denied cluttered environments

Julien Marzat, Guido de Croon, Friedrich Fraundorfer, Pascal Morin, Antonios Tsourdos
2018 International Journal of Micro Air Vehicles  
Tripicchio et al. 5 address the problem of semiautomatic navigation in confined environments using laser-based localization, with application to the inspection of an industrial combustion chamber with  ...  This special issue covers several aspects of the research effort on this topic, ranging from localization issue using a limited number of sensors to control or learning-based approaches for achieving specific  ... 
doi:10.1177/1756829318772901 fatcat:7qkb7wpjjbepnhvu3axvcsnrnq

Cost Effective and Easily Configurable Indoor Navigation System

Mohammed Yaseen Taha, Qahhar Muhammad Qadir
2021 UKH Journal of Science and Engineering  
Navigating a robot's indoor positioning in addition to finding materials areexamples of location-based services (LBS), and are some major aspects of Industry4.0 implementation in warehouses that should  ...  and computer vision deep machine learning algorithms.  ...  A novel sensor grid transmitter technique has been proposed for adoption in indoor positioning applications for vehicle navigation.  ... 
doi:10.25079/ukhjse.v5n1y2021.pp60-72 doaj:c45da34c60af49db89b58760ab63a40e fatcat:kvlwres3dbeadkcqzxsnzltcye

Linear Discriminant Analysis-Based Dynamic Indoor Localization Using Bluetooth Low Energy (BLE)

Fazli Subhan, Sajid Saleem, Haseeb Bari, Wazir Zada Khan, Saqib Hakak, Shafiq Ahmad, Ahmed M. El-Sherbeeny
2020 Sustainability  
Fingerprinting based tracking solutions are also environment dependent. On the other side, machine learning-based techniques are currently attracting industries for developing tracking applications.  ...  In this paper we have modeled a machine learning method known as Linear Discriminant Analysis (LDA) for real time dynamic object localization.  ...  Declaration: We are here to declare that, this paper is extracted from Haseeb Bari, MS thesis submitted for partial fulfilment of the requirements of the degree of MSCS at NUML, Islamabad, under the supervision  ... 
doi:10.3390/su122410627 fatcat:kt5fql5eyfgxtoqlvsr4sr2f6e

Table of contents

2020 IEEE Internet of Things Journal  
11053 Millimeter-Wave MIMO-NOMA-Based Positioning System for Internet-of-Things Applications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Du 10985 Memoryless Techniques and Wireless Technologies for Indoor Localization With the Internet of Things . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/jiot.2020.3030524 fatcat:nzap44gijbchzbpmdpioie474u

Real-Time Locating System in Production Management

András Rácz-Szabó, Tamás Ruppert, László Bántay, Andreas Löcklin, László Jakab, János Abonyi
2020 Sensors  
research and development of indoor positioning-based manufacturing solutions.  ...  As real-time locating systems (also referred to as indoor positioning systems) can enrich the available information, these systems started to gain attention in industrial environments in recent years.  ...  The research was also supported by the "Intelligent production optimization Industry 4.0 in existing plants" 2018-1.3.1-VKE-2018-00048 project.  ... 
doi:10.3390/s20236766 pmid:33256090 pmcid:PMC7730894 fatcat:ohiiaduwszbwtchkrtcaqaj5wy
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