Engineering Commons^™

Electromagnetic-Triboelectric-Hybrid Energy Tile For Biomechanical Green Energy Harvesting, Elaijah Islam, Abu Musa Abdullah, Aminur Rashid Chowdhury, Farzana Tasnim, Madelyne Martinez, Carolina Olivares, Karen Lozano, Mohammed Uddin

Chemistry Faculty Publications and Presentations

Highlights

• Hybrid nanogenerator based floor-tile was developed to convert the Bio-Mechanical energy of human footsteps to Electrical Energy.

• Hybridization of Triboelectric Nanogenerator and Electro-Magnetic Generator consisting of Aluminum and Kapton.

• MoS2 is working as an electron acceptor.

• The maximum output is 1200V as open-circuit voltage, 5mA as short-circuit current, and 6W as power.

• Produces 20% more power than a commercially sold energy-harvester floor tile.

Abstract

Since the invention of Piezoelectric Nanogenerator in 2006, nanogenerators has become an attractive technology to the researchers for scavenging mechanical energy from the ambient environment for real life applications. Hybridization of these nanogenerators has been …

Robust Learning Via Ensemble Density Propagation In Deep Neural Networks, Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal Carla Bouaynaya, Lyudmila Mihaylova

Electrical and Computer Engineering Faculty Publications and Presentations

Learning in uncertain, noisy, or adversarial environments is a challenging task for deep neural networks (DNNs). We propose a new theoretically grounded and efficient approach for robust learning that builds upon Bayesian estimation and Variational Inference. We formulate the problem of density propagation through layers of a DNN and solve it using an Ensemble Density Propagation (EnDP) scheme. The EnDP approach allows us to propagate moments of the variational probability distribution across the layers of a Bayesian DNN, enabling the estimation of the mean and covariance of the predictive distribution at the output of the model. Our experiments using MNIST …

Experience Of Teaching Introduction To Electrical Engineering With An Online Platform, Junfei Li, Jaime Ramos-Salas, Cara Li

Electrical and Computer Engineering Faculty Publications and Presentations

To engage engineering students in their field of studies, it is essential for the students to take major courses as early as possible. However, first year EE major students in our institution don’t have many options as almost all major courses need physics and math courses as prerequisites. For most of our students, the Introduction to Electrical Engineering is available to them as the only Electrical Engineering course during their first semester in college. It is offered to introduce the students to such topics as electrical circuits, digital logic, and robotics. In addition to learning fundamental topics, the students are …

A Real-Time Attendance System Using Deep-Learning Face Recognition, Weidong Kuang, Abhijit Baul

Electrical and Computer Engineering Faculty Publications and Presentations

A real-time attendance system using deep learning face recognition abstract: Attendance check plays an important role in classroom management. Checking attendance by calling names or passing around a sign-in sheet is time-consuming, and especially the latter is open to easy fraud. This paper presents the detailed implementation of a real-time attendance check system based on face recognition and its results. To recognize a student’s face, the system must first take and save a picture of the student as a reference in a database. During the attendance check, the web camera takes face pictures for a student to be recognized, and …

Effectiveness Of Using Myfpga Platform For Teaching Digital Logic, Junfei Li, Cara Li, Jae Sok Son, Weidong Kuang, Edgar Gil

Electrical and Computer Engineering Faculty Publications and Presentations

Accompanying electric circuits and computer programming, digital logic is deemed one of the most essential parts of any Electrical and Computer Engineering curriculum, so student success in the course is critical. Furthermore, research shows that the academic performance of students is heavily dependent upon student engagement, which is believed to increase with classroom strategies such as flipped-classrooms, cooperative learning, project-based learning, and virtual labs. The University of Texas Rio Grande Valley (UTRGV) is a Hispanic serving institution with distributive campuses, where many of the students work part-time. With consideration of the special needs of our students and the latest developments …

Symmetry Versus Balance In Balancing Networks For Dipolar Antennas, James Mclean, Heinrich D. Foltz

Electrical and Computer Engineering Faculty Publications and Presentations

Imperfect balancing networks (baluns) have been identified as a source of error in emission and site attenuation measurements. For this reason performance tests have been developed to characterize the symmetry of baluns. We draw a distinction between symmetry and balance as they relate to baluns and describe both quantitatively in terms of 3-port network parameters. It is shown that a symmetric balun alone does not necessarily eliminate common-mode (CM) current on the feed transmission line. Common-mode current on the feed transmission line is minimized by use of a current balun. However, for a given implementation such as a transmissionline transformer, …

A Compendium Of Single Cell Analysis In Aging And Disease, Uday Chintapula, Samir M. Iqbal, Young-Tae Kim

Electrical and Computer Engineering Faculty Publications and Presentations

Cell is the fundamental structural and functional unit of complex multicellular organisms. Conventional methods which involve average analysis of cells in bulk populations can undermine physiologically significant cell populations, whereas analysis of cells at a single cell level may reveal unique biomarkers and other mechanisms that govern the genotype and phenotype in various physiological processes in presumed homogenous cell populations. Cellular abnormalities such as irregularities in cellular mechanisms have been linked to human aging and other major diseases including neurodegenerative, vascular, autoimmune, and cancer. Aging is a functional decline associated with various diseases in an organism, majorly arising from cellular …

Ensemble Node Embeddings Using Tensor Decomposition: A Case-Study On Deepwalk, Jia Chen, Evangelos E. Papalexakis

Electrical and Computer Engineering Faculty Publications and Presentations

Node embeddings have been attracting increasing attention during the past years. In this context, we propose a new ensemble node embedding approach, called TENSEMBLE2VEC, by first generating multiple embeddings using the existing techniques and taking them as multiview data input of the state-of-art tensor decomposition model namely PARAFAC2 to learn the shared lower-dimensional representations of the nodes. Contrary to other embedding methods, our TENSEMBLE2VEC takes advantage of the complementary information from different methods or the same method with different hyper-parameters, which bypasses the challenge of choosing models. Extensive tests using real-world data validates the efficiency of the proposed method.

Chlorophyll-Inspired Tunable Metamaterials With Multi-Negative Refractive Index Bands: The Porphyrin Ring And Hydrophobic Tail Effect, Nantakan Wongkasem

Electrical and Computer Engineering Faculty Publications and Presentations

Tunable negative electromagnetic properties: permittivity, permeability, and refractive index, in mimic Chlorophyll metamaterial structures in the X- and Ku-band regimes are theoretically and numerically demonstrated. A very broad negative permeability covering the majority of the X- and Ku bands, from 8GHz to 16GHz, is observed, while five negative permittivity bands are found within the same range. The two aforementioned properties result in a broad, greater than 25% bandwidth, low-loss negative-refractive index transmission band. These negative electromagnetic properties can be effectively tailored within the low-loss multi-transmission and the high-loss multi-absorption bands in the operating frequency range by modifying the structure’s tiller …