College of Engineering: Recent submissions
Now showing items 581-600 of 8959
-
Quantifying Empathy in Virtual Reality: An Outline
( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2020 , Conference)The purpose of this paper is to provide an outline of the research undertaken hitherto on quantifying empathy in virtual reality (VR). In this paper we have discussed various methodologies used for testing the impact on ... -
Physical Layer Anti-jamming Technique Using Massive Planar Antenna Arrays
( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2020 , Conference)Wirelessly connected devices play a vital role in people's daily life, especially with the significant rise in the number of devices connected to the Internet and the huge data being generated everyday. However, the open ... -
Combating jamming attacks in multi-channel IoT networks using game theory
( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2020 , Conference)Jamming attacks are among the most widely used techniques to block and disturb legitimate communications. Several techniques are used in the literature to combat these attacks. However, most of them either require the ... -
On Accommodating VR Traffic for mHealth Applications in Rural Areas with Limited Impact on IoT Traffic
( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2020 , Conference)This paper investigates radio resource management for internet of things (IoT) networks with application to bandwidth constrained scenarios, e.g., in rural and under-privileged areas. An algorithm for efficient IoT resource ... -
IoT Anti-Jamming Strategy Using Game Theory and Neural Network
( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2020 , Conference)The internet of things (IoT) is one of the most exposed networks to attackers due to its widespread and its heterogeneity. In such networks, jamming attacks are widely used by malicious users to compromise the private and ... -
On the Use of Quantum Communications for Securing IoT Devices in the 6G Era
( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2021 , Conference)The Internet of Things (IoT) connects billions of machines that can interact with each other. IoT is one of the fastest-growing areas in the history of computing, and will continue in this direction in the 6G era. New ... -
6G Connectivity in Dense Indoor Environments using Beamforming and Frequency Allocation over IEEE 802.11ad
( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2021 , Conference)The upcoming 6G network is expected to support high data rate services combining the requirements of the 5G enhanced mobile broadband (eMBB) and ultra-reliable and low-latency communications (URLLC) use cases, typically ... -
New Way to Generating and Simulation QKD
( Springer Nature , 2021 , Conference)Due to the necessity for using the security to the end-users, the conventional methods for security are not sufficient for the highly equipped attacker and new ways to violate security. Moreover, the quantum age is coming ... -
A Hybrid Deep Learning-Based (HYDRA) Framework for Multifault Diagnosis Using Sparse MDT Reports
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Diminishing viability of manual fault diagnosis in the increasingly complex emerging cellular network has motivated research towards artificial intelligence (AI)-based fault diagnosis using the minimization of drive test ... -
Machine Learning Aided Holistic Handover Optimization for Emerging Networks
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference)In the wake of network densification and multi-band operation in emerging cellular networks, mobility and handover management is becoming a major bottleneck. The problem is further aggravated by the fact that holistic ... -
Deep Learning-based Framework for Multi-Fault Diagnosis in Self-Healing Cellular Networks
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference)Fault diagnosis is turning out to be an intense challenge due to the increasing complexity of the emerging cellular networks. The root-cause analysis of coverage-related network anomalies is traditionally carried out by ... -
Enhanced Diagnostic of Pulmonary Embolism Detection using DenseNet and XGBoost
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Conference)Pulmonary embolism (PE) poses a significant medical challenge, often linked to severe morbidity and mortality rates. This study investigates the effectiveness of machine learning techniques in detecting pulmonary embolism ... -
Power Density Improvement Due To Rotor Flux Screens In An Srm With A Higher Number Of Rotor Poles Than Stator Poles
( Academy Publishing Center, Arab Academy for Science, Technology and Maritime Transport , 2023 , Article)This paper studies the performance of screened switched reluctance motors (SRMs) with a number of rotor poles higher than the number of stator poles. Flux (conducting) screens are electrically conducting, non-magnetic ... -
Haris: An Advanced Autonomous Mobile Robot for Smart Parking Assistance
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Conference)This paper presents Haris, an advanced autonomous mobile robot system for tracking the location of vehicles in crowded car parks using license plate recognition. The system employs simultaneous localization and mapping ... -
Object Depth and Size Estimation Using Stereo-Vision and Integration with SLAM
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)Autonomous robots use simultaneous localization and mapping (SLAM) for efficient and safe navigation in various environments. Light Detection and Ranging (LiDAR) sensors are integral in these systems for object identification ... -
An Intelligent Two-Stage Energy Dispatch Management System for Hybrid Power Plants: Impact of Machine Learning Deployment
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)The utilization of renewable energy sources such as PV and wind power has become imperative due to the increase of carbon dioxide emissions, which leads to the increase in global temperature and the negative consequences ... -
Short-Term Load Forecasting in Active Distribution Networks Using Forgetting Factor Adaptive Extended Kalman Filter
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)The intermittent non-dispatchable power produced by Renewable Energy Sources (RESs) in distribution networks caused additional challenges in load forecasting due to the introduced uncertainties. Therefore, high-quality ... -
A New Torque Ripple Minimization Approach for Switched Reluctance Drives
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference)This paper presents a new torque control function for torque ripple reduction in switched reluctance drives. The approach is based on the maximum utilization of available dc link voltage, extending the zero torque-ripple ... -
A Comprehensive Review of Lithium-Ion Batteries Modeling, and State of Health and Remaining Useful Lifetime Prediction
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)According to the United States environmental protection agency (EPA), every burned gallon of gasoline generates 8.87 Kg of CO2. The pollution created by vehicles' fuel consumption has been one of the primary sources of ... -
A Novel Multivariate and Accurate Detection Scheme for Electricity Theft Attacks in Smart Grids
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Conference)In advanced metering infrastructure (AMI), smart meters (SMs) are deployed to periodically forward accurate power consumption readings from the client side to the electric utility companies/operators. Such readings are ...
