- Advanced Battery Technologies Research
- Power System Reliability and Maintenance
- Reliability and Maintenance Optimization
- Multilevel Inverters and Converters
- Advanced DC-DC Converters
- Power Systems Fault Detection
- Microgrid Control and Optimization
- Smart Grid Energy Management
- Optimal Power Flow Distribution
- Electric Motor Design and Analysis
- Photovoltaic System Optimization Techniques
- Electricity Theft Detection Techniques
- Power System Optimization and Stability
- Magnetic Properties and Applications
- Energy Load and Power Forecasting
- Engineering and Technology Innovations
- Electric Power System Optimization
- Power Transformer Diagnostics and Insulation
- Sentiment Analysis and Opinion Mining
- Building Energy and Comfort Optimization
- Islanding Detection in Power Systems
- Sensorless Control of Electric Motors
- Intelligent Tutoring Systems and Adaptive Learning
- Silicon Carbide Semiconductor Technologies
- Online Learning and Analytics
Universiti Putra Malaysia
2024
University of Kuala Lumpur
2011-2023
University of East London
2022
Wayne State University
2022
University of Warwick
2022
Life Cycle Engineering (United States)
2019
Universiti Sains Malaysia
2018
University of Strathclyde
2006-2017
University of Victoria
2002
The objective of this study is to explore the role artificial intelligence applications (AIA) in education. AI provide solution many ways exponential rise modern-day challenges, which create difficulties access education and learning. They play a significant forming social robots (SR), smart learning (SL), intelligent tutoring systems (ITS) name few. review indicates that sector should also embrace modern methods teaching necessary technology. Looking into flow, organizations need adopt...
The aim of the article is to explore academic and administrative applications Artificial Intelligence. Teachers have main responsibility teaching in any educational setting. But there are various other tasks be performed by teachers as well. Besides duty, most teacher’s time resources dedicated works. Intelligence Applications (AIA) not only assisting education academically administratively but also enhance their effectiveness. AIA provides help types shape Learning Analytics (LA), Virtual...
Deep neural networks have made tremendous strides in the categorization of facial photos last several years. Due to complexity features, enormous size picture/frame, and severe inhomogeneity image data, efficient face classification using deep convolutional remains a challenge. Therefore, as data volumes continue grow, effective mobile context utilizing advanced learning techniques is becoming increasingly important. In recent past, some Learning (DL) approaches for identify images been...
Adopting Artificial Intelligent Technology in an Educational Organization is often problematic due to many internal and external environmental reasons, fails attain the desired goals. This study aims design a framework for adopting AI technology education sector. Most of research focuses on acceptance particular ignores what else needed acceptance. The this provides step-by-step process Technological Transformation organization never designed before. We recommend that before making any...
Emotion‐based sentimental analysis has recently received a lot of interest, with an emphasis on automated identification user behavior, such as emotional expressions, based online social media texts. However, the majority prior attempts are traditional procedures that insufficient to provide promising outcomes. In this study, we categorize sentiments by recognizing them in text. For purpose, present deep learning model, bidirectional long‐term short‐term memory (BiLSMT), for emotion...
Modern power utilization has been forced to operate close their stability limits, which may lead voltage instability or collapse owing the stressed operating conditions of networks. This raises need develop a new technique predict level security under different detect critical lines buses that its limit. study proposes line index (BVSI) identify weak and for various loading network configurations. Comparative studies between existing indices (VSIs) proposed have performed comprehensively...
This paper presents the integration of shunt capacitors in radial distribution grids (RDG) with constant and time-varying load consideration for reduction power losses total annual cost, which turns to enhance voltage profile net savings. To gather stated goals, three objective functions are formulated system constraints. solve this identified problem, a novel optimization technique based on modification particle swarm is proposed. The solution methodology divided into two phases. In phase...
This study highlights a new construction of SEPIC DC-DC converter. The proposed converter aims for some features such as high voltage gain, continuous input current and reduce stress on the power switch. In addition, circuit ensurs simplicity in design along with signicant cost saving, since its components are readily available smaller size compared to off-shelf components. type can adjust DC maintain output be constant. Typically, operated equipment that uses battery also wide range supply....
Renewable Energy sources are becoming an important source of energy generation. Battery storages systems used to supply the power when there is variation in generation due climate change. Power stored batteries need be converted from Direct current (DC) into Alternating (AC) integrate it with grids. This paper presents modification a recently emerged teaching learning-based optimization (TLBO) implemented multilevel inverters. The results obtained proposed modified TLBO has been compared...
<span>Optimal power flow (OPF) is a non-linear solution which significantly important in order to analyze the system operation. The use of optimization algorithm essential solve OPF problems. <br /> emergence machine learning presents further techniques capable problem. performance and key aspects enhances effectiveness these are compared within several metaheuristic search techniques. This includes operation particle swarm (PSO) algorithm, firefly (FA), artificial bee colony...
Background and Objective Viral hepatitis is a major public health concern on global scale. It predominantly affects the world's least developed countries. The most endemic regions are resource constrained, with low human development index. Chronic can lead to cirrhosis, liver failure, cancer eventually death. Early diagnosis treatment of infection help reduce disease burden transmission those at risk or reinfection. Screening critical for meeting WHO's 2030 targets. Consequently, automated...
Abstract The aim of this paper is to investigate the reliability parameters estimation method for uninterruptible power supply (UPS) systems using fault tree analysis (FTA) technique. FTA a top‐down approach identify all potential causes leading system failure. computation system's failure probability main goal analysis, as value can be used calculate other important such rates, mean time between failures (MTBFs) and reliability. In paper, was applied five different UPS topologies results...
The purpose of this paper is to describe and discuss an approach estimate the Reliability Availability values Uninterruptible Power Supply (UPS) systems using Monte-Carlo simulation method. In method, failure rates (λ), availability (A) major components in UPS are simulated by use random number generators that produces deterministic reliability parameters try mimic results would be obtained from field trials. such as system's Failure Rates Mean Time Between Failures (MTBF), System (A),...
The aim of this paper is to investigate the effect component reliability towards system Uninterruptible Power Supply (UPS) systems. New methodologies are applied AC (AC UPS) topologies evaluate system's by estimating Failure Rates and Mean Time Between Failures. Reliability parameters obtained from five major UPS configurations were compared discussed in detail. Equations for calculating MTBF presented along with estimates. Sensitivity analysis on components was performed overall reliability.
The rapid growth of the power system with respect to many uncertainties has made transmission expansion planning (TEP) problem more tedious. This article proposes a novel holistic method solve TEP in deregulated market environment considering at load side. A mixed-integer nonlinear programming model been considered solving raised issue. bacterial foraging algorithm employed optimize problem. Considering nature system, applying ac flow is necessity optimizing order obtain applicable results....
This paper investigates the application of Boolean truth table modelling method in estimating reliability parameters such as system's failure rates and mean time between failures (MTBF), for uninterruptible power supply (UPS) systems. All possible state combinations (operating failed states) major components UPS systems were listed their effects on overall system studied. The was applied to five configurations results obtained compared from other estimation block diagram (RBD) field data
The paper highlights the reliability estimation tool for power system's study. was applied to different configurations of Uninterruptible Power Supply (UPS) systems Capacity, Isolated Redundant, Parallel Distributed and System plus Redundant configurations. UPS parameters such as failure rates, Mean Time Between Failures, Availability can be estimated from proposed methods. suggested methods in this are Reliability Block Diagram (RBD) Monte-Carlo simulation system study found that...
Wind turbine is a device that converts kinetic energy of wind into electrical energy. Weak air pressure with an average 2m/s to 4m/s makes implementation in Malaysia becoming difficult and unrealistic. In order produce good power torque, quality needed. performance depends on the incoming speed. Fluctuating low are significant challenges implementation. There many types mechanism control but production output still considered compared actual equipment. large building, Heat Ventilation Air...
Abstract The aim of this paper is to investigate the reliability parameters estimation method for uninterruptible power supply (UPS) systems using Fault Tree Analysis (FTA) technique. FTA a top–down approach identify all potential causes leading system failure. computation system's failure probability main goal analysis, as value can be used calculate other important such rates, mean time between failures and reliability. In paper, was applied five different UPS topologies results obtained...
The aim of this paper is to investigate the reliability parameters estimation method for Uninterruptible Power Supply (UPS) systems using Fault Tree Analysis (FTA) technique. FTA a top-down approach identify all potential causes leading system failure. computation system's failure probability main goal analysis, as value can be used calculate other important such Failure Rates, Mean Time between Failures, and Reliability. In paper, was applied different UPS topologies results obtained were...
The paper presents the method to predict reliability parameters of DC uninterruptible power supply (UPS) by using block diagram (RBD) method. Important quantitative system's indices such as failure rate, mean time between failures (MTBF), availability and unavailability, can be calculated from RBD models. In this paper, two configurations UPS (with without generator) were considered comparisons on resultant proposed discussed in detail. Actual field data industrial best practice are...