Results 51 to 60 of about 1,174,484 (222)

Comparison of pH Data Measured with a pH Sensor Array Using Different Data Fusion Methods

open access: yesSensors, 2012
This paper introduces different data fusion methods which are used for an electrochemical measurement using a sensor array. In this study, we used ruthenium dioxide sensing membrane pH electrodes to form a sensor array.
Yi-Hung Liao, Jung-Chuan Chou
doaj   +1 more source

SteadEye-Head—Improving MARG-Sensor Based Head Orientation Measurements Through Eye Tracking Data

open access: yesSensors, 2020
This paper presents the use of eye tracking data in Magnetic AngularRate Gravity (MARG)-sensor based head orientation estimation. The approach presented here can be deployed in any motion measurement that includes MARG and eye tracking sensors (e.g ...
Lukas Wöhle, Marion Gebhard
doaj   +1 more source

Enhancing the effectiveness of ligand-based virtual screening using data fusion [PDF]

open access: yes, 2006
Data fusion is being increasingly used to combine the outputs of different types of sensor. This paper reviews the application of the approach to ligand-based virtual screening, where the sensors to be combined are functions that score molecules in a ...
Willett, P.
core   +1 more source

Drone Detection With a LTE450‐Based Passive Radar

open access: yesIET Radar, Sonar & Navigation
Passive reconnaissance solutions receive increased interest as unjammable fibre‐optic drones represent a large number of UAVs in recent military conflicts.
Bruno Demissie, Christian Steffes
doaj   +1 more source

Sensor fusion with high‐order moments constraints using projection‐based neural network

open access: yesIET Signal Processing, 2021
The existing sensor fusion methods mainly follow two approaches, including Gaussian and Non‐Gaussian‐based sensor fusion approaches. In the first approach, fusion weights are determined based on the second moment.
Yousef Alipouri   +2 more
doaj   +1 more source

Review of the Method for Distributed Multi-sensor Multi-target Tracking

open access: yesLeida xuebao, 2023
Multi-sensor multi-target tracking is a popular topic in the field of information fusion. It improves the accuracy and stability of target tracking by fusing multiple local sensor information.
Yajun ZENG   +4 more
doaj   +1 more source

A Wireless Sensor Data Fusion Framework for Contaminant Detection [PDF]

open access: yes, 2009
In recent years, much research has been done on wireless sensor networks and sensor data fusion, however there has been limited work regarding implementation of real systems that are capable of providing a highly connected sensor network for data logging
Kiepert, Joshua, Loo, Sin Ming
core   +2 more sources

Quantitative Kernel estimation from traffic signs using slanted edge spatial frequency response as a sharpness metric

open access: yesScientific Reports
Sharpness is a critical optical property of automotive cameras, measured by the spatial frequency response (SFR) within the end-of-line (EOL) test after manufacturing.
Amit Pandey   +4 more
doaj   +1 more source

Physiological Sensor Signals Classification for Healthcare Using Sensor Data Fusion and Case-Based Reasoning

open access: yesSensors, 2014
Today, clinicians often do diagnosis and classification of diseases based on information collected from several physiological sensor signals. However, sensor signal could easily be vulnerable to uncertain noises or interferences and due to large ...
Shahina Begum   +2 more
doaj   +1 more source

Optimal Sensing and Data Estimation in a Large Sensor Network

open access: yes, 2017
An energy efficient use of large scale sensor networks necessitates activating a subset of possible sensors for estimation at a fusion center. The problem is inherently combinatorial; to this end, a set of iterative, randomized algorithms are developed ...
Chattopadhyay, Arpan, Mitra, Urbashi
core   +1 more source

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