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Three-phase grid-forming droop control for unbalanced systems and fault ride through
(2023)
In this study, we investigate grid-forming (GFM) control for dc/ac voltage source converters (VSC) under unbalanced system conditions and unbalanced faults. To fully leverage the degrees of freedom of VSCs, we introduce ...
Computational Investigation of Starting Characteristics of An Induction Machine
(2020)
An induction machine consumes a very high inrush current during start-up, which can be potentially damaging to the machine itself and to the appliances connected. In the past, various studies focused on analytical and ...
CONVEX HULL ESCAPE PERTURBATION AT EMBEDDING SPACE AND SPHERICAL BINS COLORING FOR 3D FACE DE-IDENTIFICATION
(2021)
This paper proposes a Convex Hull Escape Perturbation (CHEP) method at Embedding Space to achieve 3D Face De-identification. For better reconstruction of the 3D faces, this paper also proposes the Spherical Bins Coloring ...
Localization of Forced Oscillation - A Model Based Approach
(2023)
The electricity grid is one of the most impressive engineering feats of the modern era. It enables power transmission from a variety of generation facilities to end users over long distances. It provides electricity to ...
Gait Parameter Monitoring Using A Wearable Stereo Camera System
(2023)
An infrared (IR) stereo camera is mounted on each bracelet and tasked with tracking a marker on the bracelet on the other ankle. Based on the imaged trajectories of both markers, a computer vision algorithm that we developed ...
Designing Efficient Barriers and Semaphores for Graphics Processing Units
(2020-05)
General-purpose GPU applications that use fine-grained synchronization to enforce ordering between many threads accessing shared data have become increasingly popular. Thus, it is imperative to create more efficient GPU ...
EVALUATION OF RADIOMICS AND MACHINE LEARNING IN IDENTIFICATION OF AGGRESSIVE TUMOR FEATURES IN RENAL CELL CARCINOMA (RCC)
(2020)
The purpose of this study was to evaluate the use of CT radiomics features and machine learning analysis to identify aggressive tumor features, including high nuclear grade (NG) and sarcomatoid (sarc) features, in large ...
Forced Oscillation Detection: Correlation-Based Methodology and Approach to Pinpoint Power Grid Disturbances
(2021-05-06)
One of the most important things when operating a power grid today is the effort to maintain reliability. With the current size and continuous expansion of the grid, everything in the United States from healthcare for the ...