Effect of different signal weighting function of magnetic field using KNN for indoor localization

Effect of different signal weighting function of magnetic field using KNN for indoor localization

The present work aimed to investigate the signal weighting function based on magnetic field (MF) models to obtain accurate location estimates for indoor positioning system. We compare the state-of-the-art Euclidean distance and three proposed different signal weighting function namely actual weight,...

Full description

Bibliographic Details
Main Authors:	Bundak, Caceja Elyca, Abd Rahman, Mohd Amiruddin, Abd Karim, Muhammad Khalis, Osman, Nurul Huda
Format:	Article
Published:	Springer 2022

Similar Items

Indoor positioning using weighted magnetic field signal distance similarity measure and fuzzy based algorithms
by: Bundak, Caceja Elyca
Published: (2021)

Fuzzy rank cluster top k Euclidean distance and triangle based algorithm for magnetic field indoor positioning system
by: Bundak, Caceja Elyca, et al.
Published: (2021)

Analysis of multiple prediction techniques of received signal strength to reduce surveying effort in indoor positioning
by: Abd Rahman, Mohd Amiruddin, et al.
Published: (2022)

Prediction of lattice constant of pyrochlore compounds using optimized machine learning model
by: Mohamad Zamri, Isma Uzayr, et al.
Published: (2023)

Least squares KNN-based weighted multiclass twin SVM
by: Tanveer, M., et al.
Published: (2022)

Prediction of device performance in SnO2 based inverted organic solar cells using machine learning framework
by: Aidil Zulkafli, Nadhirah, et al.
Published: (2024)

Exploring Bit-Difference for Approximate KNN Search in High-dimensional Databases
by: Cui, Bin, et al.
Published: (2004)

Wi-Fi signal strength vs. magnetic fields for indoor positioning systems
by: Selamat, Mohd Hasan, et al.
Published: (2014)

kNN Classification of Epilepsy Brainwaves
by: Mahfuzah, Mustafa, et al.
Published: (2013)

Fast kNN graph construction
by: Kassim Bin Mohamad Malaysia
Published: (2024)

The study of groundwater source by using KNN classification
by: Suziyanti, Zaib, et al.

Intelligent indoor localization based on RF signals
by: Qi, Jingya
Published: (2019)

kNN and SVM classification for EEG: a review
by: Fuad, N., et al.
Published: (2020)

The Classification of Wink-Based EEG Signals: The identification on efficiency of transfer learning models by means of kNN classifier
by: Jothi Letchumy, Mahendra Kumar, et al.
Published: (2021)

An indoor localization and tracking system using successive weighted RSS projection
by: Wen, Kai, et al.
Published: (2022)

Scan Matching and KNN Classification for Mobile Robot Localisation Algorithm
by: Addie Irawan, Hashim, et al.
Published: (2017)

An evaluation on KNN-SVM algorithm for detection and prediction of DDoS attack
by: Yusof, Ahmad Riza’ain, et al.
Published: (2016)

KNN Algorithm to Determine Optimum Agricultural Commodities in Smart Farming
by: Cucus, Ahmad, et al.
Published: (2023)

Exploring standalone electrodermography for multiclass VR emotion prediction using KNN
by: A F Bulagang, et al.
Published: (2021)

The classification of meat odor-profile using K-nearest neighbors (KNN)
by: Nur Farina, Hamidon Majid, et al.

The Exploration of KNN-based Neural Control of Pneumatically Actuated Artificial Muscle
by: Koo, Bon H. Brandon
Published: (2022)

kNN: Classification of agarwood types in oil and wooden using E-nose
by: Mujahid, Mohamad, et al.

An FPGA implementation of the KNN algorithm for detecting single-event-latchup in satellite payloads
by: Zou, Pengze
Published: (2023)

Indoor localization+
by: Somani, Palak
Published: (2021)

Enhanced indoor localization systems based on received signal strength and radio interferometry
by: Lee, Yi San.
Published: (2012)

Indoor localization and tracking based on received signal strength in wireless sensor networks
by: Ng, Jian Min.
Published: (2013)

Automatic microsleep detection based on KNN classifier utilizing selected and effective EEG channels
by: Hasan, Md Mahmudul, et al.
Published: (2024)

The effect of physical changes in a furnished indoor environment on Wireless Local Area Network (WLAN) signals
by: Cheng, Ee Meng, et al.
Published: (2014)

Magnetic field simulation of golay coil
by: Ahmad, Rashdi Shah, et al.
Published: (2008)

Effects of different types of RSS data on the system accuracy of indoor localization system
by: Alhammadi, Abdulraqeb Shaif Ahmed, et al.
Published: (2016)

Indoor localization based on Received Signal Strength Indicator (RSSI) in Wireless Sensor Network (WSN)
by: Nur Aina Auni, Ramlan
Published: (2019)

AI assisted indoor localization
by: Lee, Yih Jie
Published: (2023)

Localization of an indoor mobile robot
by: Tay, Xi.
Published: (2010)

Motion Compatibility for Indoor Localization
by: Park, Jun-geun, et al.
Published: (2014)

Magnetic probes for small signal detection in a large background field
by: Chen, X.
Published: (2015)

Magnetic field-based mobile robot localization in repetitive environments
by: Jiang, Zichen
Published: (2020)

Characterization of EEG frontal energy ratio and KNN with entrained binaural beats for mental states classification / Haryanti Norhazman
by: Norhazman, Haryanti
Published: (2020)

Testing Bluetooth Low Energy as Indoor Positioning Technology Using Measured Path Loss Exponent and Weighted Centroid Localization Methods
by: Hantono, Bimo Sunarfri, et al.
Published: (2022)

Anywhere and anytime urban and indoor localization
by: Wen, Xin
Published: (2017)

Indoor localization based on UWB-IR
by: Zhou, Lenan.
Published: (2013)