Browsing Margie and Bill Klesse College of Engineering and Integrated Design Faculty Research by Department "Electrical and Computer Engineering"
Now showing items 1-20 of 37
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A Fault Diagnosis Design Based on Deep Learning Approach for Electric Vehicle Applications
(10/13/2021)Diagnosing faults in electric vehicles (EVs) is a great challenge. The purpose of this paper is to demonstrate the detection of faults in an electromechanical conversion chain for conventional or autonomous EVs. The ... -
A Low Cost, Edge Computing, All-Sky Imager for Cloud Tracking and Intra-Hour Irradiance Forecasting
(3/23/2017)With increasing use of photovoltaic (PV) power generation by utilities and their residential customers, the need for accurate intra-hour and day-ahead solar irradiance forecasting has become critical. This paper details ... -
A Modular Multilevel Converter with Power Mismatch Control for Grid-Connected Photovoltaic Systems
(5/17/2017)A modular multilevel power converter configuration for grid connected photovoltaic (PV) systems is proposed. The converter configuration replaces the conventional bulky line frequency transformer with several high frequency ... -
A Modular Multilevel Converter with Power Mismatch Control for Grid-Connected Photovoltaic Systems
(5/17/2017)A modular multilevel power converter configuration for grid connected photovoltaic (PV) systems is proposed. The converter configuration replaces the conventional bulky line frequency transformer with several high frequency ... -
A New Compton Camera Imaging Model to Mitigate the Finite Spatial Resolution of Detectors and New Camera Designs for Implementation
(10/27/2015)An intrinsic limitation of the accuracy that can be achieved with Compton cameras results from the inevitable fact that the detectors, which comprise the camera, cannot have infinitely-accurate spatial resolution. To ... -
An Intelligent Approach for Performing Energy-Driven Classification of Buildings Utilizing Joint Electricity–Gas Patterns
(11/9/2021)Building type identification is an important task that may be used in confirming and verifying its legitimate operation. One of the main sources of information over the operation of a building is its energy consumption, ... -
An On-Device Learning System for Estimating Liquid Consumption from Consumer-Grade Water Bottles and Its Evaluation
(3/25/2022)A lightweight on-device liquid consumption estimation system involving an energy-aware machine learning algorithm is developed in this work. This system consists of two separate on-device neural network models that carry ... -
Analysis of a Multilevel Dual Active Bridge (ML-DAB) DC-DC Converter Using Symmetric Modulation
(4/20/2015)Dual active bridge (DAB) converters have been popular in high voltage, low and medium power DC-DC applications, as well as an intermediate high frequency link in solid state transformers. In this paper, a multilevel DAB ... -
Bernstein Polynomial-Based Method for Solving Optimal Trajectory Generation Problems
(2/27/2022)This paper presents a method for the generation of trajectories for autonomous system operations. The proposed method is based on the use of Bernstein polynomial approximations to transcribe infinite dimensional optimization ... -
Can Hierarchical Transformers Learn Facial Geometry?
(2023-01-13)Human faces are a core part of our identity and expression, and thus, understanding facial geometry is key to capturing this information. Automated systems that seek to make use of this information must have a way of ... -
Characterizing Macrophages Diversity in COVID-19 Patients Using Deep Learning
(2022-12-01)The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the etiological agent responsible for coronavirus disease 2019 (COVID-19), has affected the lives of billions and killed millions of infected people. This ... -
Consistency of Approximation of Bernstein Polynomial-Based Direct Methods for Optimal Control
(2022-11-28)Bernstein polynomial approximation of continuous function has a slower rate of convergence compared to other approximation methods. "The fact seems to have precluded any numerical application of Bernstein polynomials from ... -
Damping control for a target oscillation mode using battery energy storage
(2018-07)In this paper, a battery energy storage system (BESS) based control method is proposed to improve the damping ratio of a target oscillation mode to a desired level by charging or discharging the installed BESS using local ... -
Defense against Adversarial Swarms with Parameter Uncertainty
(2022-06-24)This paper addresses the problem of optimal defense of a high-value unit (HVU) against a large-scale swarm attack. We discuss multiple models for intra-swarm cooperation strategies and provide a framework for combining ... -
Energy Harvesting Using a Stacked PZT Transducer for Self-Sustainable Remote Multi-Sensing and Data Logging System
(2/6/2022)The work discussed is developing a self-sustainable low-power remote multi-sensing and data logging system for traffic sensing. The system is powered by the energy harvested using a stacked PZT (Lead zirconate titanate) ... -
Enhancing Historic Building Performance with the Use of Fuzzy Inference System to Control the Electric Cooling System
(Sustainability;Volume 12, Issue 14, 7/21/2020)In recent years, the interest in properly conditioning the indoor environment of historic buildings has increased significantly. However, maintaining a suitable environment for building and artwork preservation while keeping ... -
Estimation of Dynamic Bivariate Correlation Using a Weighted Graph Algorithm
(6/2/2020)Dynamic correlation is the correlation between two time series across time. Two approaches that currently exist in neuroscience literature for dynamic correlation estimation are the sliding window method and dynamic ... -
Evolutionary Multi-Objective Cost and Privacy Driven Load Morphing in Smart Electricity Grid Partition
(6/26/2019)Utilization of digital connectivity tools is the driving force behind the transformation of the power distribution system into a smart grid. This paper places itself in the smart grid domain where consumers exploit digital ... -
Exploiting JTAG and Its Mitigation in IOT: A Survey
(12/3/2018)Nowadays, companies are heavily investing in the development of “Internet of Things(IoT)” products. These companies usually and obviously hunt for lucrative business models. Currently, each person owns at least 3–4 devices ... -
Generative Adversarial Networks-Based Synthetic PMU Data Creation for Improved Event Classification
(2021-02-24)A two-stage machine learning-based approach for creating synthetic phasor measurement unit (PMU) data is proposed in this article. This approach leverages generative adversarial networks (GAN) in data generation and ...