Yan Chiew Wong
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View article: IoT Implementation in Malaysian SMEs: A Strategic Analysis of Enablers and Challenges
IoT Implementation in Malaysian SMEs: A Strategic Analysis of Enablers and Challenges Open
This study investigates the patterns and determinants of Internet of Things (IoT) adoption among Malaysian small-to-medium enterprises (SMEs), examining organizational characteristics and implementation dynamics. Through comprehensive anal…
View article: Energy Optimized YOLO: Quantized Inference for Real-Time Edge AI Object Detection
Energy Optimized YOLO: Quantized Inference for Real-Time Edge AI Object Detection Open
Efficient real-time object detection is a critical requirement in edge computing applications, such as smart surveillance, where resource constraints pose significant challenges. Existing deep learning methods often struggle to balance acc…
View article: AI-Driven Automation for Analog and Mixed-Signal Circuit Design: Schematic to GDSII Layout
AI-Driven Automation for Analog and Mixed-Signal Circuit Design: Schematic to GDSII Layout Open
As technology propels forward and circuits evolve into intricate and complex designs, the traditional manual circuit design approach finds itself at a crossroads. With cutting-edge processes introducing many challenges, the journey from co…
View article: Challenges and opportunities to location independent human activity recognition utilizing Wi-Fi sensing
Challenges and opportunities to location independent human activity recognition utilizing Wi-Fi sensing Open
Wireless sensing has emerged as a dynamic field with diverse applications across smart cities, healthcare, the internet of things (IoT), and virtual reality gaming. This burgeoning area capitalizes on the capacity to detect locations, acti…
View article: Trajectory mapping through channel state information by triangulation method and fine-tuning
Trajectory mapping through channel state information by triangulation method and fine-tuning Open
Trajectory mapping techniques have widespread applications in diverse fields, including robotics, localization, smart environments, gaming, and tracking systems. However, existing free devices encounter challenges in representing trajector…
View article: Neurons to heartbeats: spiking neural networks for electrocardiogram pattern recognition
Neurons to heartbeats: spiking neural networks for electrocardiogram pattern recognition Open
The electrocardiogram (ECG) is one of the most significant methods of diagnostics for determining heart rhythm disorders. For this study, raw ECG signals from the Physio Bank database are subjected to an important preprocessing step that u…
View article: Computer vision that can ‘see’ in the dark
Computer vision that can ‘see’ in the dark Open
Insufficient lighting environment has raised challenges for night shift workers’ safety monitoring. Thus, we have developed a computer vision-based algorithm recognizing 11 actions based on action recognition in dark (ARID) dataset. A hybr…
View article: Multi-User Human Activity Recognition Through Adaptive Location-Independent WiFi Signal Characteristics
Multi-User Human Activity Recognition Through Adaptive Location-Independent WiFi Signal Characteristics Open
T In recent years, the remarkable advancement of WiFi sensing technologies has opened new
\nfrontiers in human activity recognition, enabling innovative solutions that transcend traditional methods and
\nimprove the capabilities of intelli…
View article: Evaluating The Effects of Signal Control Applications on Roundabout’s LOS Performance Using VISSIM Microsimulation Model
Evaluating The Effects of Signal Control Applications on Roundabout’s LOS Performance Using VISSIM Microsimulation Model Open
The existence of unbalanced and high traffic flows at roundabout have resulted in poor performance and safety concerns. Past research has shown that applications of signal control at problematic roundabouts had significantly improved its L…
View article: CSI-Based Location Independent Human Activity Recognition Using Deep Learning
CSI-Based Location Independent Human Activity Recognition Using Deep Learning Open
Human Activity Recognition (HAR) is widely used in various applications, from smart homes and healthcare to the Internet of Things (IoT) and virtual reality gaming. However, existing HAR technologies suffer from limitations such as locatio…
View article: Free device location independent WiFi‐based localisation using received signal strength indicator and channel state information
Free device location independent WiFi‐based localisation using received signal strength indicator and channel state information Open
The trajectory localisation of human activities using signal analytics has become a reality due to the widespread use of advanced signal processing systems. Device‐free localisation using WiFi devices is prevalent, and the received signal …
View article: HIGH PERFORMANCE THROUGH WALL HUMAN ACTIVITY RECOGNITION USING WIFI
HIGH PERFORMANCE THROUGH WALL HUMAN ACTIVITY RECOGNITION USING WIFI Open
Passive human activity recognition without requiring a device is crucial in various fields, including smart homes, health care, and identification. However, current systems for human activity recognition require a dedicated device, or they…
View article: Disease Detection of Solanaceous Crops Using Deep Learning for Robot Vision
Disease Detection of Solanaceous Crops Using Deep Learning for Robot Vision Open
Traditionally, the farmers manage the crops from the early growth stage until the mature harvest stage by manually identifying and monitoring plant diseases, nutrient deficiencies, controlled irrigation, and controlled fertilizers and pest…
View article: USING COMMUNITY-BASED PARTICIPATORY RESEARCH TO PROMOTE MENTAL HEALTH LITERACY IN OLDER CHINESE
USING COMMUNITY-BASED PARTICIPATORY RESEARCH TO PROMOTE MENTAL HEALTH LITERACY IN OLDER CHINESE Open
Whilst traditional mental health literacy programmes utilized a top-down approach, no bottom-up community-based participatory research (CBPR) model had been used to promote mental health literacy among older adults. Moreover, the existing …
View article: Neuromorphic solutions: digital implementation of bio-inspired spiking neural network for electrocardiogram classification
Neuromorphic solutions: digital implementation of bio-inspired spiking neural network for electrocardiogram classification Open
Conventional techniques of off-chip processing for wearable devices cause high hardware resource usage which leads to heat generation and increased power consumption. Hence, edge computing methods such as neuromorphic computing are conside…
View article: Secure lightweight obfuscated delay-based physical unclonable function design on FPGA
Secure lightweight obfuscated delay-based physical unclonable function design on FPGA Open
The internet of things (IoT) describes the network of physical objects equipped with sensors and other technologies to exchange data with other devices over the Internet. Due to its inherent flexibility, field-programmable gate array (FPGA…
View article: NEUROMORPHIC COMPUTING BASED ON STOCHASTIC SPIKING RESERVOIR FOR HEARTBEAT CLASSIFICATION
NEUROMORPHIC COMPUTING BASED ON STOCHASTIC SPIKING RESERVOIR FOR HEARTBEAT CLASSIFICATION Open
Heart disease is the leading cause of mortality worldwide. The precise heartbeat classification usually requires higher number of extracted features and heartbeats of the same class may also behave differently in patients. These will lead …
View article: Current mismatch reduction in charge pumps using regulated current stealing-injecting transistors for PLLs
Current mismatch reduction in charge pumps using regulated current stealing-injecting transistors for PLLs Open
A charge pump for phase locked loops (PLL) with a novel current mismatch compensation technique is proposed. The proposed circuit uses a simple yet effective current stealing-injecting (CSI) technique and feedback to reduce mismatch betwee…
View article: Genetic Algorithms and Particle Swarm Optimization for Interference Minimization in Mobile Network Channel Assignment Problem
Genetic Algorithms and Particle Swarm Optimization for Interference Minimization in Mobile Network Channel Assignment Problem Open
Interference minimization in cellular network has and will always be top priority, whether in current or future generation of cellular technology.Therefore, cellular channel assignment problem (CAP) requires continuous study and research.T…
View article: Optimization and fabrication of pure poly lactic acid (PLA) using hot press compression moulding
Optimization and fabrication of pure poly lactic acid (PLA) using hot press compression moulding Open
Biodegradable poly lactic acid (PLA) samples were optimized and fabricated for flexural, tensile, hardness, and dielectric testing, according to the American Society for Testing Materials (ASTM). In order to achieve the highest value of te…
View article: FUNCTIONAL MAGNETIC RESONANCE IMAGING FOR AUTISM SPECTRUM DISORDER DETECTION USING DEEP LEARNING
FUNCTIONAL MAGNETIC RESONANCE IMAGING FOR AUTISM SPECTRUM DISORDER DETECTION USING DEEP LEARNING Open
Autism Spectrum Disorders (ASDs) define as a scope of disability in the development of certain conditions such as social communication, imagination, and patients' capabilities to make some connection. In Malaysia, the number of ASD cases d…
View article: BRAIN-INSPIRED SPIKING NEURAL NETWORKS FOR WI-FI BASED HUMAN ACTIVITY RECOGNITION
BRAIN-INSPIRED SPIKING NEURAL NETWORKS FOR WI-FI BASED HUMAN ACTIVITY RECOGNITION Open
Human activities can be recognised through reflections of wireless signals which solve the problem of privacy concerns and restriction of the application environment in vision-based recognition. Spiking Neural Networks (SNNs) for human act…
View article: On-chip ultra low power optical wake-up receiver for wireless sensor nodes targeting structural health monitoring
On-chip ultra low power optical wake-up receiver for wireless sensor nodes targeting structural health monitoring Open
Wireless sensor network (WSN) consists of distributed nodes deployed for monitoring the physical conditions and organizing collected data at the central control unit. Power consumption is the challenges in WSN as the network consists of wi…
View article: Simulation and analysis of flexible TEG using polymer based and pyroelectric material for microdevice energy harvesting
Simulation and analysis of flexible TEG using polymer based and pyroelectric material for microdevice energy harvesting Open
Recently, an interest of thermoelectric generator (TEG) to manipulate and change heat waste into electrical energy has increased. The heat from electrical appliances, sun, human body, and natural environments can convert into electrical en…
View article: Low power wake-up receiver based on ultrasound communication for wireless sensor network
Low power wake-up receiver based on ultrasound communication for wireless sensor network Open
Wireless sensor network (WSN) consists of base stations and sensors nodes to monitor physical and environmental conditions. Power consumption is a challenge in WSN due to activities of nodes. High power consumption is required for the main…
View article: Voltage Sensing Technique for Renewable Energy Sources Self-Intervention
Voltage Sensing Technique for Renewable Energy Sources Self-Intervention Open
Solar photovoltaic and wind energy resources are gaining more popularity as an integrated or complementary power system. Integrating or complementing either solar photovoltaic or wind energy would be an ideal to reduce the intermittency wh…
View article: Design consideration in low dropout voltage regulator for batteryless power management unit
Design consideration in low dropout voltage regulator for batteryless power management unit Open
Harvesting energy from ambient Radio Frequency (RF) source is a great deal toward batteryless Internet of Thing (IoT) System on Chip (SoC) application as green technology has become a future interest. However, the harvested energy is unreg…