Fakhrul Alam
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View article: Comparison of Stiffness Measurements of Wooden Rods Using Acoustic Guided Wave and Static Bending Test Techniques
Comparison of Stiffness Measurements of Wooden Rods Using Acoustic Guided Wave and Static Bending Test Techniques Open
Traditionally, mechanical bending tests are used to measure the stiffness of lumber, which is generally represented by the static modulus of elasticity (MoE). However, it is desirable to measure the stiffness of wood before it is processed…
View article: Grape Maturity Estimation Using Time-of-Flight and LiDAR Depth Cameras
Grape Maturity Estimation Using Time-of-Flight and LiDAR Depth Cameras Open
This article investigates the potential for using low-cost depth cameras to estimate the maturity of green table grapes after they have been harvested. Time-of-flight (Kinect Azure) and LiDAR (Intel L515) depth cameras were used to capture…
View article: Leveraging Temporal Information to Improve Machine Learning-Based Calibration Techniques for Low-Cost Air Quality Sensors
Leveraging Temporal Information to Improve Machine Learning-Based Calibration Techniques for Low-Cost Air Quality Sensors Open
Low-cost ambient sensors have been identified as a promising technology for monitoring air pollution at a high spatio-temporal resolution. However, the pollutant data captured by these cost-effective sensors are less accurate than their co…
View article: Visible Light Positioning-Based Robot Localization and Navigation
Visible Light Positioning-Based Robot Localization and Navigation Open
Visible light positioning or VLP has been identified as a promising technique for accurate indoor localization utilizing pre-existing lighting infrastructure. Robot navigation is one of the many potential applications of VLP. Recent litera…
View article: Grape yield estimation with a smartphone’s colour and depth cameras using machine learning and computer vision techniques
Grape yield estimation with a smartphone’s colour and depth cameras using machine learning and computer vision techniques Open
A smartphone with both colour and time of flight depth cameras is used for automated grape yield estimation of Chardonnay grapes. A new technique is developed to automatically identify grape berries in the smartphone's depth maps. This uti…
View article: Static Hand Gesture Recognition Using Capacitive Sensing and Machine Learning
Static Hand Gesture Recognition Using Capacitive Sensing and Machine Learning Open
Automated hand gesture recognition is a key enabler of Human-to-Machine Interfaces (HMIs) and smart living. This paper reports the development and testing of a static hand gesture recognition system using capacitive sensing. Our system con…
View article: Low-Cost CO Sensor Calibration Using One Dimensional Convolutional Neural Network
Low-Cost CO Sensor Calibration Using One Dimensional Convolutional Neural Network Open
The advent of cost-effective sensors and the rise of the Internet of Things (IoT) presents the opportunity to monitor urban pollution at a high spatio-temporal resolution. However, these sensors suffer from poor accuracy that can be improv…
View article: Identity and Gender Recognition Using a Capacitive Sensing Floor and Neural Networks
Identity and Gender Recognition Using a Capacitive Sensing Floor and Neural Networks Open
In recent publications, capacitive sensing floors have been shown to be able to localize individuals in an unobtrusive manner. This paper demonstrates that it might be possible to utilize the walking characteristics extracted from a capaci…
View article: Experimental Performance Analysis of a Scalable Distributed Hyperledger Fabric for a Large-Scale IoT Testbed
Experimental Performance Analysis of a Scalable Distributed Hyperledger Fabric for a Large-Scale IoT Testbed Open
Blockchain technology, with its decentralization characteristics, immutability, and traceability, is well-suited for facilitating secure storage, sharing, and management of data in decentralized Internet of Things (IoT) applications. Despi…
View article: Analysis of Depth Cameras for Proximal Sensing of Grapes
Analysis of Depth Cameras for Proximal Sensing of Grapes Open
This work investigates the performance of five depth cameras in relation to their potential for grape yield estimation. The technologies used by these cameras include structured light (Kinect V1), active infrared stereoscopy (RealSense D41…
View article: Accurate Ultrasound Indoor Localization Using Spring-Relaxation Technique
Accurate Ultrasound Indoor Localization Using Spring-Relaxation Technique Open
This paper reports on the development of an ultrasonic sensing-based active localization system. The system employs an ultrasonic array to transmit chirp signals and time-of-flight measurement for ranging. The position of the receiver is e…
View article: Autonomous Fingerprinting and Large Experimental Data Set for Visible Light Positioning
Autonomous Fingerprinting and Large Experimental Data Set for Visible Light Positioning Open
This paper presents an autonomous method of collecting data for Visible Light Positioning (VLP) and a comprehensive investigation of VLP using a large set of experimental data. Received Signal Strength (RSS) data are efficiently collected …
View article: Occluded Grape Cluster Detection and Vine Canopy Visualisation Using an Ultrasonic Phased Array
Occluded Grape Cluster Detection and Vine Canopy Visualisation Using an Ultrasonic Phased Array Open
Grape yield estimation has traditionally been performed using manual techniques. However, these tend to be labour intensive and can be inaccurate. Computer vision techniques have therefore been developed for automated grape yield estimatio…
View article: Multi-Layer Blockchain-Based Security Architecture for Internet of Things
Multi-Layer Blockchain-Based Security Architecture for Internet of Things Open
The proliferation of smart devices in the Internet of Things (IoT) networks creates significant security challenges for the communications between such devices. Blockchain is a decentralized and distributed technology that can potentially …
View article: Hyperledger Fabric Blockchain for Securing the Edge Internet of Things
Hyperledger Fabric Blockchain for Securing the Edge Internet of Things Open
Providing security and privacy to the Internet of Things (IoT) networks while achieving it with minimum performance requirements is an open research challenge. Blockchain technology, as a distributed and decentralized ledger, is a potentia…
View article: A Machine Learning Approach to Enhance the Performance of D2D-Enabled Clustered Networks
A Machine Learning Approach to Enhance the Performance of D2D-Enabled Clustered Networks Open
Clustering has been suggested as an effective technique to enhance the performance of multicasting networks. Typically, a cluster head is selected to broadcast the cached content to its cluster members utilizing Device-to-Device (D2D) comm…
View article: Device-Free Localization Using Privacy-Preserving Infrared Signatures Acquired From Thermopiles and Machine Learning
Device-Free Localization Using Privacy-Preserving Infrared Signatures Acquired From Thermopiles and Machine Learning Open
The development of an accurate passive localization system utilizing thermopile sensing and artificial intelligence is discussed in this paper. Several machine learning techniques are explored to create robust angular and radius coordinate…
View article: A Novel Weighted Clustering Algorithm Supported by a Distributed Architecture for D2D Enabled Content-Centric Networks
A Novel Weighted Clustering Algorithm Supported by a Distributed Architecture for D2D Enabled Content-Centric Networks Open
Next generation cellular systems need efficient content-distribution schemes. Content-sharing via Device-to-Device (D2D) clustered networks has emerged as a popular approach for alleviating the burden on the cellular network. In this artic…
View article: CapLoc: Capacitive Sensing Floor for Device-Free Localization and Fall Detection
CapLoc: Capacitive Sensing Floor for Device-Free Localization and Fall Detection Open
Passive indoor positioning, also known as Device-Free Localization (DFL), has applications such as occupancy sensing, human-computer interaction, fall detection, and many other location-based services in smart buildings. Vision-, infrared-…
View article: Indoor Visible Light Positioning Using Spring-Relaxation Technique in Real-World Setting
Indoor Visible Light Positioning Using Spring-Relaxation Technique in Real-World Setting Open
GPS has limitations in indoor applications. Consequently, other indoor localization techniques and systems are active areas of research. Visible Light Positioning (VLP) is a promising option, especially given the growing popularity of LED-…
View article: SpringLoc: A Device-Free Localization Technique for Indoor Positioning and Tracking Using Adaptive RSSI Spring Relaxation
SpringLoc: A Device-Free Localization Technique for Indoor Positioning and Tracking Using Adaptive RSSI Spring Relaxation Open
Device-free localization (DFL) algorithms using the received signal strength indicator (RSSI) metrics have become a popular research focus in recent years as they allow for location-based service using commercial-off-the-shelf (COTS) wirel…
View article: Falcon: Fused Application of Light Based Positioning Coupled With Onboard Network Localization
Falcon: Fused Application of Light Based Positioning Coupled With Onboard Network Localization Open
Indoor localization based on visible light and visible light communication has become a viable alternative to radio frequency wireless-based techniques. Modern visible light position (VLP) systems have been able to attain sub-decimeter lev…
View article: Gaussian Process Model Predictive Control of An Unmanned Quadrotor
Gaussian Process Model Predictive Control of An Unmanned Quadrotor Open
The Model Predictive Control (MPC) trajectory tracking problem of an unmanned quadrotor with input and output constraints is addressed. In this article, the dynamic models of the quadrotor are obtained purely from operational data in the f…
View article: Enhanced Particle Swarm Optimization Algorithms for Multiple-Input Multiple-Output System Modelling using Convolved Gaussian Process Models
Enhanced Particle Swarm Optimization Algorithms for Multiple-Input Multiple-Output System Modelling using Convolved Gaussian Process Models Open
Convolved Gaussian Process (CGP) is able to capture the correlations not only between inputs and outputs but also among the outputs. This allows a superior performance of using CGP than standard Gaussian Process (GP) in the modelling of Mu…
View article: Gaussian Process Model Predictive Control of Unknown Nonlinear Systems
Gaussian Process Model Predictive Control of Unknown Nonlinear Systems Open
Model Predictive Control (MPC) of an unknown system that is modelled by Gaussian Process (GP) techniques is studied in this paper. Using GP, the variances computed during the modelling and inference processes allow us to take model uncerta…