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Electrical and Computer Engineering

2020

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Articles 1 - 30 of 511

Full-Text Articles in Engineering

Mimo Antenna For Fifth Generation Mm-Wave Applications: A Bibliometric Survey, Rajeshwari R. Malekar, Laxmikant K. Shevada, Hema D. Raut, Amruta S. Dixit, Sumit Kumar Dec 2020

Mimo Antenna For Fifth Generation Mm-Wave Applications: A Bibliometric Survey, Rajeshwari R. Malekar, Laxmikant K. Shevada, Hema D. Raut, Amruta S. Dixit, Sumit Kumar

Library Philosophy and Practice (e-journal)

Nowadays most discussed technology is mm-wave and 5G communication. The requirement of 5G technology is high bandwidth, high data rate, and low latency. To fulfil these requirements for the current growth in mobile communication multiple input multiple output antenna is used. This bibliometric paper throws light on the various methods used to improve mutual coupling between multiple antennas. Various mutual coupling reduction techniques that are used in MIMO antennas like Dielectric resonator antenna, Electromagnetic Bandgap Structure, Neutralization lines, Defected Ground Structures, Metamaterial, etc. are explained. Scopus database is used for this bibliometric review on mm-wave MIMO 5G technology from the …

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Bibliometric Review Of Mppt Algorithms For Wind Energy Conversion Systems, Jayshree Ashok Pande, Paresh Nasikkar Dec 2020

Bibliometric Review Of Mppt Algorithms For Wind Energy Conversion Systems, Jayshree Ashok Pande, Paresh Nasikkar

Library Philosophy and Practice (e-journal)

The existing conventional fuels are going up in prices and going down in availability. This has boosted the demand for renewable resources like wind energy. Wind energy being abundantly available is becoming very popular as it is a freely available pollution-free green energy. Some technical aspects like the tracking of maximum power from the wind energy conversion systems have a very high impact on the efficiency of the wind energy conversion systems. Several algorithms have been implemented for tracking the maximum power point of the wind energy conversion systems. The main objective of this paper is to study the extent …

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A Bibliometric Survey On Ultra Wideband Multiple Input Multiple Output Antenna With Improved Isolation, Laxmikant K. Shevada, Hema D. Raut, Rajeshwari R. Malekar, Amruta S. Dixit, Sumit Kumar Dec 2020

A Bibliometric Survey On Ultra Wideband Multiple Input Multiple Output Antenna With Improved Isolation, Laxmikant K. Shevada, Hema D. Raut, Rajeshwari R. Malekar, Amruta S. Dixit, Sumit Kumar

Library Philosophy and Practice (e-journal)

Ultra wideband (UWB) technology remains a viable choice for very high speed data communication in future applications involving large bandwidth. For boosting the data communication efficiency and to mitigate the multipath fading issue faced by UWB system with existing narrowband systems, Multiple Input Multiple Output (MIMO) antenna system is used along with UWB. Mutual coupling which must be smaller in value plays a vital role in deciding the efficiency of MIMO antenna and hence it becomes as important aspect. The mutual coupling reduction techniques of various UWB MIMO antennas are surveyed in this bibliometric paper. The bibliometric survey aims to …

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Solar Photovoltaic Performance Monitoring: A Bibliometric Review, Research Gaps And Opportunities, Javed Sayyad, Paresh Nasikkar Dec 2020

Solar Photovoltaic Performance Monitoring: A Bibliometric Review, Research Gaps And Opportunities, Javed Sayyad, Paresh Nasikkar

Library Philosophy and Practice (e-journal)

Electrical power generation has been revolutionized by growing demand and use of Renewable Energy (RE) sources such as Solar Photovoltaic (SPV) as the main electricity source in modern times. The main objective of this bibliometric analysis is to understand the scope of the literature available for SPV performance characterization. This detailed reviewed was performed on the documents related to SPV research considering all the subject categories from Scopus and Web of Science (WoS) databases. The patterns for the particular set of keywords were broke down with the recuperated outcomes from Scopus database in the language, publication type, year of publication, …

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Multi-Modal Data Analysis And Fusion For Classification In 2d/3d Sensing, Jonathan P. Schierl Dec 2020

Multi-Modal Data Analysis And Fusion For Classification In 2d/3d Sensing, Jonathan P. Schierl

Honors Theses

This research would develop a method of more accurately detecting objects using machine learning. There is plenty of current research and algorithms to tackle this problem. Our approach would use a dataset gathered with 2-Dimensional Infrared Imagery as well as 3-Dimensional LiDAR Data. We would develop a deep learning network with the ability to “learn” using both of these datasets. This proposed fusion network will perform better than either of the individual networks.

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Adiabatic Logic-In-Memory Architecture, Himanshu Thapliyal, S. Dinesh Kumar Dec 2020

Adiabatic Logic-In-Memory Architecture, Himanshu Thapliyal, S. Dinesh Kumar

Electrical and Computer Engineering Faculty Patents

An adiabatic logic-in-memory based complementary metal- oxide-semiconductor/magnetic-tunnel-junction (ALiM CMOS/MTJ) circuit utilizes an adiabatic logic based pre- charged sense amplifier (PCSA) to recover energy from its output load capacitors. The ALiM CMOS/MTJ includes a non-volatile magnetic-tunnel-junction (MTJ) based memory. The ALiM CMOS/MTJ also includes a dual rail complementary metal-oxide-semiconductor (CMOS) logic that performs logic operations in association with the MTJ, and thereby generates logic outputs based on logic inputs. The ALiM CMOS/MTJ also includes the adiabatic PCSA, which is operatively coupled to the dual rail CMOS logic. The adiabatic logic based PCSA includes PCSA circuitry for which an input is a …

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Inter-Cross De-Modulated Refractive Index And Temperature Sensor By An Etched Multi-Core Fiber Of A Mzi Structure, Farhan Mumtaz, Yutang Dai, Muhammad Aqueel Ashraf Dec 2020

Inter-Cross De-Modulated Refractive Index And Temperature Sensor By An Etched Multi-Core Fiber Of A Mzi Structure, Farhan Mumtaz, Yutang Dai, Muhammad Aqueel Ashraf

Electrical and Computer Engineering Faculty Research & Creative Works

We present a relative sensitivity of in-fiber inter-cross demodulation of a Mach-Zehnder interferometer (MZI) based on an etched multi-core fiber (eMCF). The sensor can measure the external refractive index (RI) and temperature with a large fringe visibility of 15 dB. It is tuned using a simple technique of slow chemical etching. When the outer cores of MCF will be exposed to the surrounding, a large difference of relative effective RI is observed, which enhances the sensitivity of the sensor. The sensor's wavelength and intensity responses have displayed that it can function with three different inter-cross-demodulation phenomena. A superior RI sensitivity …

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A Survey On Subsurface Signal Propagation, Usman Raza, Abdul Salam Dec 2020

A Survey On Subsurface Signal Propagation, Usman Raza, Abdul Salam

Faculty Publications

Wireless Underground Communication (WUC) is an emerging field that is being developed continuously. It provides secure mechanism of deploying nodes underground which shields them from any outside temperament or harsh weather conditions. This paper works towards introducing WUC and give a detail overview of WUC. It discusses system architecture of WUC along with the anatomy of the underground sensor motes deployed in WUC systems. It also compares Over-the-Air and Underground and highlights the major differences between the both type of channels. Since, UG communication is an evolving field, this paper also presents the evolution of the field along with the …

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Welcome Message From The Tpc Chairs, Ming Yu, Lijun Jiang, Alex Man Hon Wong, Shao Yong Zheng Dec 2020

Welcome Message From The Tpc Chairs, Ming Yu, Lijun Jiang, Alex Man Hon Wong, Shao Yong Zheng

Electrical and Computer Engineering Faculty Research & Creative Works

No abstract provided.

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Applying Power Dividers To Decoupling Of Mimo Antennas With Wideband, Dual-Band Or Adjacent-Band Operations, Min Li, Lijun Jiang, Kwan Lawrence Yeung Dec 2020

Applying Power Dividers To Decoupling Of Mimo Antennas With Wideband, Dual-Band Or Adjacent-Band Operations, Min Li, Lijun Jiang, Kwan Lawrence Yeung

Electrical and Computer Engineering Faculty Research & Creative Works

This paper presents a novel decoupling method of applying power dividers to isolation enhancement of multiple-input multiple-output antennas with wideband, dual-band, or adjacent-band operations. The decoupling structure consists of the power dividers, transmission lines, and reactive components. Three benchmarks are used to elaborate on the design procedure and demonstrate the advantages of the proposed method. Results show that this method offers good impedance matching and high port isolation at the designated frequencies.

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Experimental And Mathematical Tools To Predict Droplet Size And Velocity Distribution For A Two-Fluid Nozzle, Sadegh Poozesh, Nelson K. Akafuah, Heather R. Campbell, Faezeh Bashiri, Kozo Saito Dec 2020

Experimental And Mathematical Tools To Predict Droplet Size And Velocity Distribution For A Two-Fluid Nozzle, Sadegh Poozesh, Nelson K. Akafuah, Heather R. Campbell, Faezeh Bashiri, Kozo Saito

Mechanical Engineering Faculty Publications

Despite progress in laser-based and computational tools, an accessible model that relies on fundamentals and offers a reasonably accurate estimation of droplet size and velocity is lacking, primarily due to entangled complex breakup mechanisms. Therefore, this study aims at using the integral form of the conservation equations to create a system of equations by solving which, the far-field secondary atomization can be analyzed through predicting droplet size and velocity distributions of the involved phases. To validate the model predictions, experiments are conducted at ambient conditions using water, methanol, and acetone as model fluids with varying formulation properties, such as density, …

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Implementation Of Pseudo-Random Number Generator Using Lfsr, Touheda Khanom, Fahmeda Khanom Dec 2020

Implementation Of Pseudo-Random Number Generator Using Lfsr, Touheda Khanom, Fahmeda Khanom

Publications and Research

Linear Feedback Shift Registers (LFSR) play a vital role to provide cybersecurity for the data communication system. LFSR is a shift register where the input is linear of its previous states. The most important application of LFSR is the device’s ability to generate a pseudo-random sequence of values that are used in encryption and decryption to secure personal data. Moreover, LFSR is used in Cyclic Redundancy Check Calculations (CRC) which can help to detect errors and corruption in data communications as LFSR feedback values can be modified. The main objective of the research is to generate the pseudo-random sequence of …

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Novel High Isolation Antennas For Simultaneous Transmit And Receive (Star) Applications, Alexander Hovsepian Dec 2020

Novel High Isolation Antennas For Simultaneous Transmit And Receive (Star) Applications, Alexander Hovsepian

FIU Electronic Theses and Dissertations

Radio frequency (RF) spectrum congestion is a major challenge for the growing need of wireless bandwidth. Notably, in 2015, the Federal Communications Commission (FCC) auctioned just 65 MHz (a bandwidth smaller than that used for WiFi) for more than $40 billion, indicating the high value of the microwave spectrum. Current radios use one-half of their bandwidth resource for transmission, and the other half for reception. Therefore, by enabling radios to transmit and receive across their entire bandwidth allocation, spectral efficiency is doubled. Concurrently, data rates for wireless links also double. This technology leads to a new class of radios and …

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Linear And Decoupled Decoders For Dual-Polarized Antenna-Based Mimo Systems, Sara Shakil Qureshi, Sajid Ali, Syed Ali Hassan Dec 2020

Linear And Decoupled Decoders For Dual-Polarized Antenna-Based Mimo Systems, Sara Shakil Qureshi, Sajid Ali, Syed Ali Hassan

All Works

© 2020 by the authors. Licensee MDPI, Basel, Switzerland. Quaternion orthogonal designs (QODs) have been used to design STBCs that provide improved performance in terms of various design parameters. In this paper, we show that all QODs obtained from generic iterative construction techniques based on the Adams-Lax-Phillips approach have linear and decoupled decoders which significantly reduce the computational complexity at the receiver. Our result is based on the quaternionic description of communication channels among dual-polarized antennas. Another contribution of this work is the linear and decoupled decoder for quasi-orthogonal codes for non-square as well as square designs. The proposed solution …

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Improve The Prototype Of Low-Cost Near-Infrared Diffuse Optical Imaging System, Chen Xu, Mohammed Z. Shakil Dec 2020

Improve The Prototype Of Low-Cost Near-Infrared Diffuse Optical Imaging System, Chen Xu, Mohammed Z. Shakil

Publications and Research

Diffuse Optical Tomography (DOT) and Optical Spectroscopy using near-infrared (NIR) diffused light has demonstrated great potential for the initial diagnosis of tumors and in the assessment of tumor vasculature response to neoadjuvant chemotherapy. The aims of this project are 1) to test the different types of LEDs in the near-infrared range, and design the driving circuit, and test the modulation of LEDs at different frequencies; 2) to test the APDs as a detector, and build the receiver system and compare efficiency with pre-built systems. In this project, we are focusing on creating a low-cost infrared transmission system for tumor and …

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Deep Reinforcement Learning For Collaborative Edge Computing In Vehicular Networks, Mushu Li, Jie Gao, Lian Zhao, Xuemin Shen Dec 2020

Deep Reinforcement Learning For Collaborative Edge Computing In Vehicular Networks, Mushu Li, Jie Gao, Lian Zhao, Xuemin Shen

Electrical and Computer Engineering Faculty Research and Publications

Mobile edge computing (MEC) is a promising technology to support mission-critical vehicular applications, such as intelligent path planning and safety applications. In this paper, a collaborative edge computing framework is developed to reduce the computing service latency and improve service reliability for vehicular networks. First, a task partition and scheduling algorithm (TPSA) is proposed to decide the workload allocation and schedule the execution order of the tasks offloaded to the edge servers given a computation offloading strategy. Second, an artificial intelligence (AI) based collaborative computing approach is developed to determine the task offloading, computing, and result delivery policy for vehicles. …

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Deep Neural Network For Load Forecasting Centred On Architecture Evolution, Santiago Gomez-Rosero, Miriam A M Capretz, London Hydro Dec 2020

Deep Neural Network For Load Forecasting Centred On Architecture Evolution, Santiago Gomez-Rosero, Miriam A M Capretz, London Hydro

Electrical and Computer Engineering Publications

Nowadays, electricity demand forecasting is critical for electric utility companies. Accurate residential load forecasting plays an essential role as an individual component for integrated areas such as neighborhood load consumption. Short-term load forecasting can help electric utility companies reduce waste because electric power is expensive to store. This paper proposes a novel method to evolve deep neural networks for time series forecasting applied to residential load forecasting. The approach centres its efforts on the neural network architecture during the evolution. Then, the model weights are adjusted using an evolutionary optimization technique to tune the model performance automatically. Experimental results on …

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Predicting Residential Energy Consumption Using Wavelet Decomposition With Deep Neural Network, Dagimawi Eneyew, Miriam A M Capretz, Girma Bitsuamlak, London Hydro Dec 2020

Predicting Residential Energy Consumption Using Wavelet Decomposition With Deep Neural Network, Dagimawi Eneyew, Miriam A M Capretz, Girma Bitsuamlak, London Hydro

Electrical and Computer Engineering Publications

Electricity consumption is accelerating due to economic and population growth. Hence, energy consumption prediction is becoming vital for overall consumption management and infrastructure planning. Recent advances in smart electric meter technology are making high-resolution energy consumption data available. However, many parameters influencing energy consumption are not typically monitored for residential buildings. Therefore, this study’s main objective is to develop a data-driven energy consumption forecasting model (next-hour consumption) for residential houses solely based on analyzing electricity consumption data. This research proposes a deep neural network architecture that combines stationary wavelet transform features and convolutional neural networks. The proposed approach utilizes automatically …

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An Efficient 3-D Stochastic Hie-Fdtd Algorithm For Investigation Of Statistical Variation In Electromagnetic Field, Kaikun Niu, Zhixiang Huang, Xingang Ren, Ke Xu, Minquan Li, Xianliang Wu, Ping Li, Lijun Jiang, Hakan Bagci Dec 2020

An Efficient 3-D Stochastic Hie-Fdtd Algorithm For Investigation Of Statistical Variation In Electromagnetic Field, Kaikun Niu, Zhixiang Huang, Xingang Ren, Ke Xu, Minquan Li, Xianliang Wu, Ping Li, Lijun Jiang, Hakan Bagci

Electrical and Computer Engineering Faculty Research & Creative Works

We propose a stochastic hybrid implicit-explicit finite-difference time-domain method (S-HIE-FDTD) to compute the mean and variance of the electromagnetic (EM) fields using a single simulation, given those of the conductivity and permittivity in the computation domain. The mean and variance field update equations underlying the proposed method are derived from the field update equations of the 'traditional' deterministic HIE-FDTD. The Courant-Friedrichs-Lewy condition of the S-HIE-FDTD depends on the spatial discretization sizes only in two dimensions; therefore, for computation domains with fine geometric features only in the remaining dimension, it uses a time step size that is larger than that of …

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Machine-Learning-Based Hybrid Method For The Multilevel Fast Multipole Algorithm, Jia Jing Sun, Sheng Sun, Yongpin P. Chen, Lijun Jiang, Jun Hu Dec 2020

Machine-Learning-Based Hybrid Method For The Multilevel Fast Multipole Algorithm, Jia Jing Sun, Sheng Sun, Yongpin P. Chen, Lijun Jiang, Jun Hu

Electrical and Computer Engineering Faculty Research & Creative Works

In this letter, a hybrid translation computation method for the multilevel fast multipole algorithm (MLFMA) is proposed based on machine learning. The hybrid method combines both generalized regression neural network (GRNN) and artificial neural network (ANN) to replace the traditional translation procedure during the solving process of the MLFMA. Based on the data corresponding to every one of the interaction list boxes at each level, the hybrid neural network is trained. Comparing with the previous machine learning method in this field, the proposed model is more general, and with lower complexity since it inherits the accuracy of the GRNN as …

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Identifying Depressive Symptoms From Tweets: Figurative Language Enabled Multitask Learning Framework, Shweta Yadav, Jainish Chauhan, Joy Prakash Sain, Krishnaprasad Thirunarayan, Amit P. Sheth, Jeremiah Schumm Dec 2020

Identifying Depressive Symptoms From Tweets: Figurative Language Enabled Multitask Learning Framework, Shweta Yadav, Jainish Chauhan, Joy Prakash Sain, Krishnaprasad Thirunarayan, Amit P. Sheth, Jeremiah Schumm

Publications

Existing studies on using social media for deriving mental health status of users focus on the depression detection task. However, for case management and referral to psychiatrists, healthcare workers require practical and scalable depressive disorder screening and triage system. This study aims to design and evaluate a decision support system (DSS) to reliably determine the depressive triage level by capturing fine-grained depressive symptoms expressed in user tweets through the emulation of Patient Health Questionnaire-9 (PHQ-9) that is routinely used in clinical practice. The reliable detection of depressive symptoms from tweets is challenging because the 280-character limit on tweets incentivizes the …

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Medical Knowledge-Enriched Textual Entailment Framework, Shweta Yadav, Vishal Pallagani, Amit P. Sheth Dec 2020

Medical Knowledge-Enriched Textual Entailment Framework, Shweta Yadav, Vishal Pallagani, Amit P. Sheth

Publications

One of the cardinal tasks in achieving robust medical question answering systems is textual entailment. The existing approaches make use of an ensemble of pre-trained language models or data augmentation, often to clock higher numbers on the validation metrics. However, two major shortcomings impede higher success in identifying entailment: (1) understanding the focus/intent of the question and (2) ability to utilize the real-world background knowledge to capture the context beyond the sentence. In this paper, we present a novel Medical Knowledge-Enriched Textual Entailment framework that allows the model to acquire a semantic and global representation of the input medical text …

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Digital Fabrication Of A Small Diameter Polymer Optical Waveguide, Venkat Rama Bhethanabotla, Thomas M. Weller, Roger Brandon Tipton, John Townsend Bentley, Eduardo Antonio Rojas Dec 2020

Digital Fabrication Of A Small Diameter Polymer Optical Waveguide, Venkat Rama Bhethanabotla, Thomas M. Weller, Roger Brandon Tipton, John Townsend Bentley, Eduardo Antonio Rojas

Publications

A novel polymer optical waveguide and method of manu­facturing is presented herein. A digitally manufactured pro­cess is described which utilizes a micro-dispensed UV optical adhesive as the contour guiding cladding, a fused deposition modeling technology for creating a core, addi­tional optical adhesive to complete the cladding and a subtractive laser process to finish the two ends of the optical interconnect.

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The Role Of Blockchain Technologies In Power Markets, David Bowker, Fazel Mohammadi, Abdulraheem Al Gami, Alex Bakakat, Andres Alonso, Bhawna Kapoor, Davor Bosnjak, Edileu Cardoso, Erik Cuadros, Gowri Rajappan, Greg Thorpe, Hannah Davis, Hannes Agabus, Hero Morales, Jelena Milosavljevic, Juan Duran Hernandez, Julian Betancur, Marcelo De Araujo, Nasser Al-Shahrani, Toshiyuki Sawa, Umit Cali, Victor Francisco, Victor Tan, Vijay Vadlamudi, Vladislav Berezovsky, Yousef Almarwan, Yulia Zhilkina Dec 2020

The Role Of Blockchain Technologies In Power Markets, David Bowker, Fazel Mohammadi, Abdulraheem Al Gami, Alex Bakakat, Andres Alonso, Bhawna Kapoor, Davor Bosnjak, Edileu Cardoso, Erik Cuadros, Gowri Rajappan, Greg Thorpe, Hannah Davis, Hannes Agabus, Hero Morales, Jelena Milosavljevic, Juan Duran Hernandez, Julian Betancur, Marcelo De Araujo, Nasser Al-Shahrani, Toshiyuki Sawa, Umit Cali, Victor Francisco, Victor Tan, Vijay Vadlamudi, Vladislav Berezovsky, Yousef Almarwan, Yulia Zhilkina

Electrical and Computer Engineering Publications

Blockchain technology offers some significant potential benefits for improving electricity markets. This TB reviews the potential applications for blockchain as energy markets transform. The WG also assessed 37 projects which have already implemented blockchain into energy markets to understand the current level of actual implementation and the benefits in the real world.

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3-D Fabry–Pérot Cavities Sculpted On Fiber Tips Using A Multiphoton Polymerization Process, Jonathan W. Smith, Jeremiah C. Williams, Joseph S. Suelzer, Nicholas G. Usechak, Hengky Chandrahalim Dec 2020

3-D Fabry–Pérot Cavities Sculpted On Fiber Tips Using A Multiphoton Polymerization Process, Jonathan W. Smith, Jeremiah C. Williams, Joseph S. Suelzer, Nicholas G. Usechak, Hengky Chandrahalim

Faculty Publications

This paper presents 3-D Fabry–Pérot (FP) cavities fabricated directly onto cleaved ends of low-loss optical fibers by a two-photon polymerization (2PP) process. This fabrication technique is quick, simple, and inexpensive compared to planar microfabrication processes, which enables rapid prototyping and the ability to adapt to new requirements. These devices also utilize true 3-D design freedom, facilitating the realization of microscale optical elements with challenging geometries. Three different device types were fabricated and evaluated: an unreleased single-cavity device, a released dual-cavity device, and a released hemispherical mirror dual-cavity device. Each iteration improved the quality of the FP cavity's reflection spectrum. The …

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Virtual Head Waves In Ocean Ambient Noise: Theory And Modeling, Jie Li, Peter Gerstoft, Martin Siderius, Jun Fan Dec 2020

Virtual Head Waves In Ocean Ambient Noise: Theory And Modeling, Jie Li, Peter Gerstoft, Martin Siderius, Jun Fan

Electrical and Computer Engineering Faculty Publications and Presentations

The Green's function retrieval in media with horizontal boundaries usually only considers the extraction of direct and reflected waves but ignores the virtual head waves, which have been observed experimentally from ocean ambient noise and used to invert for geometric and environmental parameters. This paper derives the extraction of virtual head waves from ocean ambient noise using a vertically spaced sensor pair in a Pekeris waveguide. Ocean ambient noise in the water column is a superposition of direct, reflected, and head waves. The virtual head waves are produced by the cross-correlations between head waves and either reflected waves or other …

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Polarization-Selective Modulation Of Supercavity Resonances Originating From Bound States In The Continuum, Chan Kyaw, Riad Yahiaoui, Joshua A. Burrow, Viet Tran, Kyron Keelen, Wesley Sims, Eddie C. Red, Willie S. Rockward, Mikkel A. Thomas, Andrew M. Sarangan, Imad Agha, Thomas A. Searles Dec 2020

Polarization-Selective Modulation Of Supercavity Resonances Originating From Bound States In The Continuum, Chan Kyaw, Riad Yahiaoui, Joshua A. Burrow, Viet Tran, Kyron Keelen, Wesley Sims, Eddie C. Red, Willie S. Rockward, Mikkel A. Thomas, Andrew M. Sarangan, Imad Agha, Thomas A. Searles

Electro-Optics and Photonics Faculty Publications

Bound states in the continuum (BICs) are widely studied for their ability to confine light, produce sharp resonances for sensing applications and serve as avenues for lasing action with topological characteristics. Primarily, the formation of BICs in periodic photonic band gap structures are driven by symmetry incompatibility; structural manipulation or variation of incidence angle from incoming light. In this work, we report two modalities for driving the formation of BICs in terahertz metasurfaces. At normal incidence, we experimentally confirm polarization driven symmetry-protected BICs by the variation of the linear polarization state of light. In addition, we demonstrate through strong coupling …

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The Economics Of Classroom 3-D Printing Of Open-Source Digital Designs Of Learning Aids, Nicole Gallup, Joshua M. Pearce Nov 2020

The Economics Of Classroom 3-D Printing Of Open-Source Digital Designs Of Learning Aids, Nicole Gallup, Joshua M. Pearce

Michigan Tech Publications

While schools struggle financially, capital for purchasing physical learning aids is often cut. To determine if costs could be reduced for learning aids, this study analyzed classroom-based distributed digital manufacturing using 3-D printing of open-source learning aid designs. Learning aid designs are analyzed in detail for their economic viability considering printing and assembly costs with purchased components and compared to equivalent or inferior commercial products available on Amazon. The results show current open-source 3-D printers are capable of manufacturing useful learning aids and that doing so provides high economic savings in the classroom. Overall, the average learning aid would save …

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Water Conservation Potential Of Self-Funded Foam-Based Flexible Surface-Mounted Floatovoltaics, Kaomi Soulemane Hayibo, Pierce Mayville, Ravneet Kaur Kailey Nov 2020

Water Conservation Potential Of Self-Funded Foam-Based Flexible Surface-Mounted Floatovoltaics, Kaomi Soulemane Hayibo, Pierce Mayville, Ravneet Kaur Kailey

Michigan Tech Publications

A potential solution to the coupled water–energy–food challenges in land use is the concept of floating photovoltaics or floatovoltaics (FPV). In this study, a new approach to FPV is investigated using a flexible crystalline silicon-based photovoltaic (PV) module backed with foam, which is less expensive than conventional pontoon-based FPV. This novel form of FPV is tested experimentally for operating temperature and performance and is analyzed for water-savings using an evaporation calculation adapted from the Penman–Monteith model. The results show that the foam-backed FPV had a lower operating temperature than conventional pontoon-based FPV, and thus a 3.5% higher energy output per …

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A First Investigation Of Agriculture Sector Perspectives On The Opportunities And Barriers For Agrivoltaics, Alexis Pascaris, Chelsea Schelly, Joshua M. Pearce Nov 2020

A First Investigation Of Agriculture Sector Perspectives On The Opportunities And Barriers For Agrivoltaics, Alexis Pascaris, Chelsea Schelly, Joshua M. Pearce

Michigan Tech Publications

Agrivoltaic systems are a strategic and innovative approach to combine solar photovoltaic (PV)-based renewable energy generation with agricultural production. Recognizing the fundamental importance of farmer adoption in the successful diffusion of the agrivoltaic innovation, this study investigates agriculture sector experts’ perceptions on the opportunities and barriers to dual land-use systems. Using in-depth, semistructured interviews, this study conducts a first study to identify challenges to farmer adoption of agrivoltaics and address them by responding to societal concerns. Results indicate that participants see potential benefits for themselves in combined solar and agriculture technology. The identified barriers to adoption of agrivoltaics, however, include: …

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