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Augmented CWT Features for Deep Learning-Based Indoor Localization Using WiFi RSSI Data

Paul Ssekidde, Odongo Steven Eyobu, Dong Seog Han, Tonny J. Oyana
2021 Applied Sciences  
The conventional global positioning system (GPS) is affected by weak signal strengths due to high levels of signal interference and fading in indoor environments.  ...  Extensive experiments were conducted to generate the proposed augmented CWT feature set and numerical CWT PSD feature set using two analyzing functions, namely, Morlet and Morse.  ...  Descriptive statistics were applied on the recorded RSSI data and the variance used in the Gaussian distribution function. The observed data were normally distributed.  ... 
doi:10.3390/app11041806 fatcat:7lcdk5gfqffp7m6pdzg2ntclhi


A. Gholami, P. Pahlavani, S. Azimi, S. Shakibi
2019 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
The research tries to do indoor positioning using local Wi-Fi fingerprints and signals. To reduce the error to collect local fingerprints, RSS values are recorded in 4 directions and two times.  ...  Various methods have been developed based on different systems, all of which are based on specific methods and concepts.  ...  used in augmenting the radio map.  ... 
doi:10.5194/isprs-archives-xlii-4-w18-441-2019 fatcat:5au7xfum5vebnaejcrgbd37fyy

A Meta-Review of Indoor Positioning Systems

Germán Martín Mendoza-Silva, Joaquín Torres-Sospedra, Joaquín Huerta
2019 Sensors  
The number of technologies, techniques, and approaches in general used in IPS proposals is remarkable.  ...  Moreover, 75 works are identified as relevant works in the research topic from a selection of about 4000 works cited in the analyzed surveys.  ...  Richter and Toledano-Ayala [179] suggested the usage of GPR with constant mean function and Matérn class covariance function, instead of the commonly used zero mean squared exponential kernel.  ... 
doi:10.3390/s19204507 fatcat:nin6dirgcjbernymhx6dz4thqy

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

Navneet Singh, Sangho Choe, Rajiv Punmiya
2021 IEEE Access  
In recent years, many researchers have proposed a wide range of machine learning (ML)-based indoor localization approaches using Wi-Fi received signal strength indicator (RSSI) fingerprints.  ...  INDEX TERMS Machine learning, fingerprints, indoor localization, positioning, deep learning, received signal strength indicator, Wi-Fi.  ...  in system complexity based on the incorporation of ML functions.  ... 
doi:10.1109/access.2021.3111083 fatcat:7o6zb7kycrgftfpsukuwnsl24m

On the Technologies and Systems for Student Attendance Tracking

Zoran Kotevski, "St. Kliment Ohridski" University – Bitola Faculty of information and communication technologies, Bitola, R. Macedonia, Natasa Blazheska-Tabakovska, Andrijana Bocevska, Tome Dimovski
2018 International Journal of Information Technology and Computer Science  
But, all these technologies perform in a different manner and exhibit certain functional limitations considering the given implementation.  ...  These technologies include: Radio-Frequency Identification (RFID), Biometric (fingerprint, face or voice recognition), Barcode identification and Bluetooth communication technologies, that are implemented  ...  To aid in certain functionalities Singhal and Gujral [23] , propose an RFID system augmented with GSM On the other hand, Saparkhojayev and Guvercin [28] developed an interesting, non-standard RFID based  ... 
doi:10.5815/ijitcs.2018.10.06 fatcat:ojmz4tb6ufhnjkmdzjlqemodty

Reference Device-Assisted Adaptive Location Fingerprinting

Dongjin Wu, Linyuan Xia
2016 Sensors  
Location fingerprinting suffers in dynamic environments and needs recalibration from time to time to maintain system performance. This paper proposes an adaptive approach for location fingerprinting.  ...  The modified UK-based adaptive location fingerprinting approach can provide better location performance, compared with the conventional UK-based approach. ' Compared with other adaptive techniques, our  ...  In the solution, the Gaussian Process Regression (GPR) method was used to augment the Log distance path loss model to obtain AP signal strength profiles.  ... 
doi:10.3390/s16060802 pmid:27258284 pmcid:PMC4934228 fatcat:5wwo5lul7fdqtjpnpekiohdwsa

Positioning in 5G and 6G Networks—A Survey

Ferenc Mogyorósi, Péter Revisnyei, Azra Pašić, Zsófia Papp, István Törös, Pál Varga, Alija Pašić
2022 Sensors  
Since new requirements are already in place for 6G networks, our paper makes a leap towards positioning with 6G networks.  ...  Among the various solutions, network-based positioning became an option with the arrival of 5G mobile networks.  ...  [27] evaluated the performance of thirteen ML algorithms employed in conjunction with fingerprint-based MT localization for distributed massive MIMO wireless systems configurations.  ... 
doi:10.3390/s22134757 pmid:35808254 pmcid:PMC9268850 fatcat:osj52nwsqjdfxa6gixgo64p4uq

Using Gaussian process regression to simulate the vibrational Raman spectra of molecular crystals

Nathaniel Raimbault, Andrea Grisafi, Michele Ceriotti, Mariana Rossi
2019 New Journal of Physics  
Vibrational properties of molecular crystals are constantly used as structural fingerprints, in order to identify both the chemical nature and the structural arrangement of molecules.  ...  In particular, we show the advantages of using a recently developed symmetry-adapted version of GPR.  ...  An analogous expression is obtained for SA-GPR, but the rotation and alignments previously described do not need to be carried out explicitly since the rotational covariance of the tensor is built in the  ... 
doi:10.1088/1367-2630/ab4509 fatcat:qa3cib7wpffcbmbtkv5u5drumq

Location Systems: An Introduction to the Technology Behind Location Awareness

Anthony LaMarca, Eyal de Lara
2008 Synthesis Lectures on Mobile and Pervasive Computing  
Systems that exhibit normally distributed error often have their error expressed in meters at 1 (or 2) sigma, meaning that 66% (or 95%) of •  ...  For coordinate-based location systems, accuracy is expressed as an error distribution, typically in centimeters or meters.  ...  [23] developed a system that models signal propagation using Gaussian Processes, which are nonparametric models that estimate Gaussian distributions over functions based on the training data.  ... 
doi:10.2200/s00115ed1v01y200804mpc004 fatcat:cbvw7weeibhxjnbwnp4y4mat3m

Part one: The Statistical Terminal Assisted Mobile Positioning methodology and architecture

C. Laoudias, C.G. Panayiotou, C. Desiniotis, J.G. Markoulidakis, J. Pajunen, S. Nousiainen
2008 Computer Communications  
Due to its open and modular architecture, new positioning algorithms and post processing techniques can be added in the localization chain, thus supporting effectively a wide variety of Location Based  ...  STAMP is setting a unified positioning framework, in which different types of raw network related measurements are employed by multiple positioning techniques in order to derive coarse position estimates  ...  We also plan to use an appropriate network regularization method and variable β values in the Gaussian basis functions, based on the distribution of centers in the multidimensional signal space, to achieve  ... 
doi:10.1016/j.comcom.2008.01.052 fatcat:uo2n7na4jfhoxk42ujxxmdckzy

Precision Positioning for Smart Logistics Using Ultra-Wideband Technology-Based Indoor Navigation: A Review

Mahmoud Elsanhoury, Petteri Makela, Janne Koljonen, Petri Valisuo, Ahm Shamsuzzoha, Timo Mantere, Mohammed Elmusrati, Heidi Kuusniemi
2022 IEEE Access  
interference in dense environments, and when required to operate in extreme conditions.  ...  The emerging technology of ultra-wideband (UWB) precision positioning has attracted significant attention throughout the previous decade owing to its promising capabilities over other radio frequency-based  ...  In other words, while the EKF approximation relies only on one point (the mean), UKF uses more than one point, including the distribution mean.  ... 
doi:10.1109/access.2022.3169267 fatcat:7a2pf56bdvg2th3veljcoruuxu

Handoff Management Relying on RFID Technology

Apostolia Papapostolou, Hakima Chaouchi
2010 2010 IEEE Wireless Communication and Networking Conference  
The similarity between the current signal vector and the offline fingerprints is based on the Bayes' theorem such that they maximize the current RSS probability density function.  ...  A bigger search space increases the probability of finding a very similar point but also the location-based fingerprint lose their priority over the orientation-based fingerprints.  ... 
doi:10.1109/wcnc.2010.5506534 dblp:conf/wcnc/PapapostolouC10 fatcat:utbsxhckdzf6bk6twloibiihlu

Big-Data Science in Porous Materials: Materials Genomics and Machine Learning

Kevin Maik Jablonka, Daniele Ongari, Seyed Mohamad Moosavi, Berend Smit
2020 Chemical Reviews  
Given the increasing interest of the scientific community in machine learning, we expect this list to rapidly expand in the coming years.  ...  In particular, we discuss applications in the field of gas storage and separation, the stability of these materials, their electronic properties, and their synthesis.  ...  likelihood, which is the objective function in GPR.  ... 
doi:10.1021/acs.chemrev.0c00004 pmid:32520531 pmcid:PMC7453404 fatcat:l2745cqxl5fcnnwty73j2ckkyq

A Survey Study of the Current Challenges and Opportunities of Deploying the ECG Biometric Authentication Method in IoT and 5G Environments

Ahmed Younes Shdefat, Nour Mostafa, Louai Saker, Ahmet Topcu
2021 Indonesian Journal of Electrical Engineering and Informatics (IJEEI)  
This survey aims to demonstrate various aspects related to the implementation of biometric authentication in healthcare monitoring systems based on acquiring vital ECG signals via designated wearable devices  ...  The nature of ECG signals and current ongoing research related to ECG authentication are investigated in this survey along with the factors that may affect the signal acquisition process.  ...  In most related research work on ECG signals and feature extraction, a list of functional ECG segments is generated based on output statistics [117] .  ... 
doi:10.52549/ijeei.v9i2.2890 fatcat:cvfkcwspvbf2hdcawv4xbxpm34

Applied Imagery Pattern Recognition 2011

2011 2011 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)  
These range fr om measuring the impact of deforestation, to assessing the severity of chemical spills and natural disasters, to identifying threats based on surveillance, to screening large populations  ...  Many of the problems are hard; fo r example, recent oil spill issues included an extremely large search area, low concentrations and submerged bodies of oil, low signal-to-noise ratios, and the need fo  ...  We augment these trees with a distribution modeling component that eliminates redundant information, ignores misrepresentative class distributions in the database, and stops training when decision boundaries  ... 
doi:10.1109/aipr.2011.6176381 fatcat:7bbefbxrnnfjvdtun4zixrckjy
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