Digital Commons Network^™

Plastic Multilayered Closure Versus Orthopedic Surgeon Closure After Spinal Instrumentation In Pediatric Neuromuscular Scoliosis, Ekene U Ezeokoli, Poornima L Tamma, Neritan Borici, Ifeoma Inneh, Edward P Buchanan, Brian G Smith

Faculty, Staff and Students Publications

OBJECTIVE: To compare wound complication rates between orthopedic closure (OC) and plastic multilayered closure (PMC) in patients undergoing primary posterior spinal fusion for neuromuscular scoliosis (NMS). We hypothesize that multilayered closure will be associated with better postoperative outcomes.

METHODS: We collected data on pediatric patients diagnosed with NMS who underwent first time spinal instrumentation between 1 January 2018 and 31 May 2021. Patient demographics, length of surgery, spinal levels fused and operative variables, wound complication rate, treatments, and need for wound washout were reviewed in depth and recorded.

RESULTS: In total, 86 patients were reviewed: 46 with OC and 40 …

Highlights From International Conference On Cancer Health Disparities 2021, Murali M. Yallapu, Jorge L. Teniente, Andrew Tsin, Subhash C. Chauhan

School of Medicine Publications

The first International Conference on Cancer Health Disparities (ICCHD) was held on August 13-14, 2021, in Harlingen, TX, USA. This two-day ICCHD-2021 was organized by the University of Texas Rio Grande Valley, School of Medicine (UTRGV-SOM). About 200 national and international delegates from 10 countries attended this hybrid meeting in person and through online digital platforms. The event delegates were representatives from National Institutes of Health (NIH), Cancer Prevention and Research Institute of Texas (CPRIT), and the City of Harlingen, in addition to clinicians, faculty, researchers, scientists, bioinformaticians, geneticists, bioethicists, and others. Under the theme of Cancer Health Disparities, this …

How To Map Soil Sealing, Land Take And Impervious Surfaces? A Systematic Review, Francesca Peroni, Salvatore Eugenio Pappalardo, Francesco Facchinelli, Edoardo Crescini, Michele Munafò, Michael E. Hodgson, Massimo De Marchi

Faculty Publications

Soil degradation is one of the main environmental issues within the international agendas on sustainability and climate adaptation. Among degradation processes, soil sealing represents the major threat, as ecosystem services dramatically decrease or are even nullified. The increasing use of big open data from satellites combined with AI algorithms are making geodata mining and mapping techniques essential to quantify soil sealing. Different keywords are adopted to define the phenomenon. However, at present, review articles presenting the state-of-the-art on mapping soil sealing by including the most common definitions are currently not available. Hence, we analyzed: (a) impervious surface, (b) soil sealing, …

Proceedings Of The 10th Annual Deep Brain Stimulation Think Tank: Advances In Cutting Edge Technologies, Artificial Intelligence, Neuromodulation, Neuroethics, Interventional Psychiatry, And Women In Neuromodulation, Joshua K Wong, Helen S Mayberg, Doris D Wang, R Mark Richardson, Casey H Halpern, Lothar Krinke, Mattia Arlotti, Lorenzo Rossi, Alberto Priori, Sara Marceglia, Ro'ee Gilron, James F Cavanagh, Jack W Judy, Svjetlana Miocinovic, Annaelle D Devergnas, Roy V Sillitoe, Stephanie Cernera, Carina R Oehrn, Aysegul Gunduz, Wayne K Goodman, Erika A Petersen, Helen Bronte-Stewart, Robert S Raike, Mahsa Malekmohammadi, David Greene, Petra Heiden, Huiling Tan, Jens Volkmann, Valerie Voon, Luming Li, Pankaj Sah, Terry Coyne, Peter A Silburn, Cynthia S Kubu, Anna Wexler, Jennifer Chandler, Nicole R Provenza, Sarah R Heilbronner, Marta San Luciano, Christopher J Rozell, Michael D Fox, Coralie De Hemptinne, Jaimie M Henderson, Sameer A Sheth, Michael S Okun

Faculty, Staff and Students Publications

The deep brain stimulation (DBS) Think Tank X was held on August 17–19, 2022 in Orlando FL. The session organizers and moderators were all women with the theme women in neuromodulation. Dr. Helen Mayberg from Mt. Sinai, NY was the keynote speaker. She discussed milestones and her experiences in developing depression DBS. The DBS Think Tank was founded in 2012 and provides an open platform where clinicians, engineers and researchers (from industry and academia) can freely discuss current and emerging DBS technologies as well as the logistical and ethical issues facing the field. The consensus among the DBS Think …

Evaluation Of The Clinical Effectiveness Of Modified Sacrospinous Ligament Fixation, Yuanyuan Lyu, Huafeng Ding, Ying Zhang, Suhua Shi, Jin Ding, Chengcheng Zhu, Xiaoming Guan, Guantai Ni, Yonghong Luo

Faculty, Staff and Students Publications

OBJECTIVE: To describe the surgical techniques and short-term outcomes for 50 cases of modified sacrospinous ligament fixation

METHODS: 100 patients with pelvic organ prolapse (stage III or stage IV based on POP-Q staging) from January 2018 to January 2020 were retrospectively analyzed. Among them, 50 patients received modified sacrospinous ligament fixation via the anterior vaginal wall path for pelvic organ prolapse (mSSLF group), while the other 50 patients received pelvic reconstruction using T4 mesh (T4 group). Operative time, blood loss, postoperative POP-Q score, length of the hospital stay, complications, and postoperative pain were compared between the two groups.

RESULTS: The …

Analysis Of Short-Term Efficacy Of Gasless Single-Port Laparoscopic Inguinal Lymphadenectomy Through Vulva Incision For Vulvar Cancer, Jin Ding, Piaopiao Teng, Xiaoming Guan, Yonghong Luo, Huafeng Ding, Suhua Shi, Xiufen Zhou, Guantai Ni

Faculty, Staff and Students Publications

OBJECTIVE: To investigate the feasibility and short-term efficacy of gasless single-port laparoscopic inguinal lymphadenectomy through vulva incision (VEIL-V).

METHODS: The data of 9 patients diagnosed as vulvar squamous cell carcinoma who underwent single-port laparoscopic inguinal lymph node dissection through vulvectomy incision were retrospectively analyzed. And 13 patients who underwent laparoscopic inguinal lymph node dissection through lower abdominal subcutaneous approach as the control group (VEIL-H). The operation time, blood loss, numbers of unilateral lymph nodes, hospitalization time, and complications between the two groups were compared.

RESULTS: The operation time of VEIL-V was 56.11 ± 5.94 min, which were shorter than that …

The Texas Collaborative Center For Hepatocellular Cancer: Reducing Liver Cancer Mortality In Texas Through Coordination, Collaboration And Advocacy, Ariel C Harrison, Fasiha Kanwal, Sumeet K Asrani, Aaron P Thrift, Chris I Amos, Maria L Jibaja-Weiss, Jane R Montealegre, Jessica P Hwang, Amit G Singal, Hashem B El-Serag

Faculty, Staff and Students Publications

Texas has the highest age-adjusted incidence rate of hepatocellular carcinoma (HCC) in the United States. To address cancer prevention and early detection through research, Cancer Prevention and Research Institute of Texas (CPRIT) has funded the Texas Collaborative Center for Hepatocellular Cancer (TeCH) to facilitate liver cancer research, education and advocacy activities. This paper describes the organizational structure, program measures, the actions completed and future plans of TeCH. This center is comprised of several cores and committees including the Administrative Core, Steering Committee, Data and Biospecimen Core, Scientific Committee, Clinical Network Committee, and the Community Outreach Committee. Each core and committee …

Relación Entre La Depresión Y La Demencia [Relationship Between Depression And Dementia], Maria Del Pilar Santacruz-Ortega, Maria Fernanda Cobo-Charry, Silvia Mejia-Arango

School of Medicine Publications

La alta asociación entre la depresión y la demencia en el adulto mayor ha motivado a investigar la clase de relación que existe entre ellas. El objetivo de esta revisión narrativa fue describir la relación entre la depresión y la demencia, para lo que se revisaron las bases de datos Medline, Science Direct, Dialnet, Redalyc entre 2000 y 2021, con los descriptores verbales “demencia” AND “depresión” AND “relación” AND “adulto mayor” OUT “depresión de cuidadores” para ubicar los documentos candidatos y luego elegir la muestra final conformada por 67 artículos publicados, que fueron revisados por tres jueces para la selección. …

Adult Food Protein-Induced Enterocolitis Syndrome, Sara Anvari, Melanie A Ruffner

Faculty, Staff and Students Publications

Food protein-induced enterocolitis syndrome (FPIES) is a non-IgE, cell-mediated food allergy, commonly diagnosed in infants and young children. In recent years, new-onset adult FPIES has been recognized. The underlying pathogenic mechanism of FPIES has yet to be elucidated, thus disease-specific diagnostic biomarkers have yet to be determined and an oral food challenge (OFC) remains the gold-standard for the diagnosis. Pediatric patients with FPIES classically present with symptoms of delayed, repetitive vomiting approximately 1 to 4 hours following ingestion of a food allergen. However, adults with FPIES have been reported to have a different symptom profile and different food triggers compared …

A 6-Year-Old Child With A New Diagnosis Of Perinatal Human Immunodeficiency Virus Infection, Kristen G Valencia Deray, Cassie Weyland, Diana Jeang, Gayatri Mirani, Lindsay H Cameron

Faculty, Staff and Students Publications

Perinatal human immunodeficiency virus transmission, while rare in the United States, should be considered in children with a history of recurrent infections, chronic respiratory symptoms and developmental delay. A delayed diagnosis of human immunodeficiency virus in children can lead to significant morbidity and mortality. We present a 6-year-old male who presented for evaluation and management of antibiotic refractory chronic cough and purulent nasal secretions, with a history of recurrent bacterial pneumonias and sinus infections, disseminated varicella zoster, and global developmental delay. He likely had perinatally acquired human immunodeficiency virus. At the time of his human immunodeficiency virus diagnosis, he met …

Research Symposium 2022: International Conference On Health Disparities: Treatment And Recovery From Opioid And Alcohol Use Disorders And Related Comorbidities (Ichd-Recover), The University Of Texas Rio Grande Valley. School Of Medicine

School of Medicine Publications

No abstract provided.

The Barriers And Facilitators Of Hiv-Exposed Infant Testing As Perceived By Hiv-Positive Mothers In Botswana: A Qualitative Study, Grace Karugaba, Jennifer Simpson, Bathusi Mathuba, Onkemetse Phoi, Thato Regonamanye, Keofentse Mathuba, Eldah Dintwa, Bornapate Nkomo, Dinah Ramaabya, Mathabo Relebohile Pule, Mogomotsi Matshaba

Faculty, Staff and Students Publications

BACKGROUND: Despite high rates of HIV testing and enrolment of HIV-positive pregnant women on antiretroviral therapy in Botswana, coverage for HIV-exposed infant (HEI) testing remains suboptimal. Many factors can contribute to suboptimal HEI testing rates, but they have seldom been thoroughly investigated in Botswana. Therefore, the aim of this study was to explore the experiences and perspectives of HIV-positive mothers on the barriers and facilitators of HEI testing to inform interventions to promote HEI testing in Botswana.

METHODS: We conducted focus group discussions (FGDs) with HIV-positive mothers who gave birth in 2016 at the three largest public hospitals in Botswana. …

Pathologic Inflammation In Malnutrition Is Driven By Proinflammatory Intestinal Microbiota, Large Intestine Barrier Dysfunction, And Translocation Of Bacterial Lipopolysaccharide, Grace T Patterson, Elvia Y Osorio, Alex Peniche, Sara M Dann, Erika Cordova, Geoffrey A Preidis, Ji Ho Suh, Ichiaki Ito, Omar A Saldarriaga, Michael Loeffelholz, Nadim J Ajami, Bruno L Travi, Peter C Melby

Faculty, Staff and Students Publications

Acute malnutrition, or wasting, is implicated in over half of all deaths in children under five and increases risk of infectious disease. Studies in humans and preclinical models have demonstrated that malnutrition is linked to an immature intestinal microbiota characterized by increased prevalence of Enterobacteriaceae. Observational studies in children with moderate acute malnutrition (MAM) have also observed heightened systemic inflammation and increased circulating bacterial lipopolysaccharides (LPS; endotoxin). However, the mechanisms that underpin the systemic inflammatory state and endotoxemia, and their pathophysiological consequences, remain uncertain. Understanding these pathophysiological mechanisms is necessary to design targeted treatments that will improve the unacceptable rate …

Hepatic Pparα Is Destabilized By Sirt1 Deacetylase In Undernourished Male Mice, Ji Ho Suh, Kang Ho Kim, Margaret E Conner, David D Moore, Geoffrey A Preidis

Faculty, Staff and Students Publications

The nutrient sensing nuclear receptor peroxisome proliferator-activated receptor-α (PPARα) regulates the host response to short-term fasting by inducing hepatic transcriptional programming of ketogenesis, fatty acid oxidation and transport, and autophagy. This adaptation is ineffective in chronically undernourished individuals, among whom dyslipidemia and hepatic steatosis are common. We recently reported that hepatic PPARα protein is profoundly depleted in male mice undernourished by a low-protein, low-fat diet. Here, we identify PPARα as a deacetylation target of the NAD-dependent deacetylase sirtuin-1 (SIRT1) and link this to the decrease in PPARα protein levels in undernourished liver. Livers from undernourished male mice expressed high levels …

Early Wildfire Detection Using Uavs Integrated With Air Quality And Lidar Sensors, Doaa Rjoub, Ahmad Alsharoa, Ala'eddin Masadeh

Electrical and Computer Engineering Faculty Research & Creative Works

Every year, wildfires burn out countless hectares of lands, resulting in ecological, environmental, and economic damage. This paper presents an energy management system that consists of an unmanned aerial vehicle (UAV) equipped with air quality and light detection and ranging (LiDAR) sensors for monitoring forests and recognizing flames early. We develop a novel approach for autonomous patrolling system. This approach has the advantage of effectively detecting wildfire incidents, while optimizing the energy consumption of the UAV's battery to cover large areas. When a wildfire is detected, the UAV is able to transmit real-time data, such as sensor readings and LiDAR …

An Interleaved High Step-Up Dc-Dc Converter With Coupled Inductor And Built-In Transformer For Renewable Energy Applications, Ramin Rahimi, Saeed Habibi, Mehdi Ferdowsi, Pourya Shamsi

Electrical and Computer Engineering Faculty Research & Creative Works

This paper introduces an interleaved high step-up DC-DC converter with high voltage gain, low voltage stresses on the switches, low current stresses on the components, and continuous input current with low ripple, all of which are beneficial for the renewable energy (RE) applications. The proposed converter is based on the integration of three voltage-boosting (VB) methods: coupled inductor (CI), built-in transformer (BIT), and switched-capacitor (SC) cells. The energies of the leakage inductances of the CIs and BIT are absorbed and recirculated to the output side, which further extends the voltage gain. In addition, the current-falling rates of the diodes are …

A Spline-Based Partial Element Equivalent Circuit Method For Electrostatics, Riccardo Torchio, Maximilian Nolte, Sebastian Schops, Albert E. Ruehli

Electrical and Computer Engineering Faculty Research & Creative Works

This contribution investigates the connection between Isogeometric Analysis (IgA) and the Partial Element Equivalent Circuit (PEEC) method for electrostatic problems. We demonstrate that using the spline-based geometry concepts from IgA allows for extracting circuit elements without an explicit meshing step. Moreover, the proposed IgA-PEEC method converges for complex geometries up to three times faster than the conventional PEEC approach and, in turn, it requires a significantly lower number of degrees of freedom to solve a problem with comparable accuracy. The resulting method is closely related to the isogeometric boundary element method. However, it uses lowest-order basis functions to allow for …

Improving Virtual Synchronous Generator Control In Microgrids Using Fuzzy Logic Control, Oroghene Oboreh-Snapps, Rui Bo, Buxin She, Fangxing Fran Li, Hantao Cui

Electrical and Computer Engineering Faculty Research & Creative Works

Virtual synchronous generators (VSG) are designed to mimic the inertia and damping characteristics of synchronous generators (SG), which can improve the frequency response of a microgrid. Unlike synchronous generators whose inertia and damping are restricted by the physical characteristics of the SG, VSG parameters can be more flexibly controlled to adapt to different disturbances. This paper therefore proposes a fuzzy logic controller designed to adaptively set the parameters of the VSG during a frequency event to ensure an improved frequency nadir and rate of change of frequency (ROCOF) response. The proposed control method is implemented and tested on the power …

Chimeranet: U-Net For Hair Detection In Dermoscopic Skin Lesion Images, Norsang Lama, Reda Kasmi, Jason R. Hagerty, R. Joe Stanley, Reagan Harris Young, Jessica Miinch, Januka Nepal, Anand Nambisan, William V. Stoecker

Electrical and Computer Engineering Faculty Research & Creative Works

Hair and ruler mark structures in dermoscopic images are an obstacle preventing accurate image segmentation and detection of critical network features. Recognition and removal of hairs from images can be challenging, especially for hairs that are thin, overlapping, faded, or of similar color as skin or overlaid on a textured lesion. This paper proposes a novel deep learning (DL) technique to detect hair and ruler marks in skin lesion images. Our proposed ChimeraNet is an encoder-decoder architecture that employs pretrained EfficientNet in the encoder and squeeze-and-excitation residual (SERes) structures in the decoder. We applied this approach at multiple image sizes …

A Dnn-Ensemble Method For Error Reduction And Training Data Selection In Dnn Based Modeling, Ling Zhang, Da Li, Jiayi He, Bhyrav Mutnury, Bo Pu, Xiao Ding Cai, Chulsoon Hwang, Jun Fan, James L. Drewniak, Er Ping Li

Electrical and Computer Engineering Faculty Research & Creative Works

Deep neural networks (DNNs) have been widely adopted in modeling electromagnetic compatibility (EMC) problems, but the training data acquisition is usually time-consuming through various simulators. This paper presents a powerful approach using an ensemble of DNN s to effectively reduce the training data size in DNN-based modeling problems. A batch of training data with the largest uncertainties is selected using active learning through the variance among the ensemble of DNNs. Subsequently, a greedy sampling algorithm is applied to select a data subset using diversity. Thus, the proposed method can achieve both uncertainty and diversity in data selection. By averaging the …

3d Printed Multilayer Microwave Absorber, Wei Zhang, Rui Mi, Victor Khilkevich

Electrical and Computer Engineering Faculty Research & Creative Works

This paper explores the possibility to create 3D printed multilayer electromagnetic absorbers. The proposed design is similar to the thin-film filters used in optics and consists of interleaving high and low permittivity layers. Based on transmission line theory, the multilayer absorber can be designed in a circuit simulator. Analytical equations, circuit simulations, and measurements are used to analyze and validate the designed absorber. Multilayer absorbers based on 3D printed material can be an inexpensive option for engineering usage with great design flexibility and fast fabrication.

Modeling An Esd Gun Discharge To A Usb Cable, Yang Xu, Jianchi Zhou, Daryl G. Beetner, Javad Meiguni, David Pommerenke, Sergej Bub, Steffen Holland

Electrical and Computer Engineering Faculty Research & Creative Works

When an electrostatic discharge (ESD) gun discharges to a USB cable, the routing and quality of the cable impacts the waveform seen at the printed circuit board (PCB) connected to the cable and the ability of an on-board transient voltage suppressor (TVS) to protect sensitive electronics. The impact of cable configurations during ESD gun contact discharge tests was investigated for multiple cable configurations. Injection to a cable pin whose shield is 'floating' at the injection site can cause a double-peak in the ESD waveform at the PCB and a lower maximum stress level than when the cable shield is connected …

Incremental Cluster Validity Index-Guided Online Learning For Performance And Robustness To Presentation Order, Leonardo Enzo Brito Da Silva, Nagasharath Rayapati, Donald C. Wunsch

Electrical and Computer Engineering Faculty Research & Creative Works

In streaming data applications, the incoming samples are processed and discarded, and therefore, intelligent decision-making is crucial for the performance of lifelong learning systems. In addition, the order in which the samples arrive may heavily affect the performance of incremental learners. The recently introduced incremental cluster validity indices (iCVIs) provide valuable aid in addressing such class of problems. Their primary use case has been cluster quality monitoring; nonetheless, they have been recently integrated in a streaming clustering method. In this context, the work presented, here, introduces the first adaptive resonance theory (ART)-based model that uses iCVIs for unsupervised and semi-supervised …

Concurrent Learning-Based Neuro-Adaptive Robust Tracking Control Of Wheeled Mobile Robot: An Event-Triggered Design, Krishanu Nath, Manas Kumar Bera, Sarangapani Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, an event-based neuro-adaptive robust tracking controller for a perturbed and networked differential drive mobile robot (DMR) is designed with concurrent learning. A radial basis function neural network, which approximates an unknown perturbation, is used to design an adaptive sliding mode controller (SMC). The RBFNN weights and SMC parameters are estimated online using an adaptive tuning law to ensure performance with reduced chattering. To improve the convergence of RBFNN weight estimation error, a concurrent learning-based adaptive law is derived, which uses measured online and recorded data. Further, a suitable triggering condition is designed to achieve a reduced number …

An Energy-Efficient Internet Of Things Relaying System For Delay-Constrained Applications, Abdullah M. Almasoud, Ahmad Alsharoa, Daji Qiao, Ahmed E. Kamal

Electrical and Computer Engineering Faculty Research & Creative Works

The emerging Internet-of-things (IoT) systems contain a large number of small wireless devices with limited energy, communication, and computational capabilities. In such systems, a helping station located between the IoT devices and backhaul servers can be deployed to broadcast the IoT devices to the backhaul networks. This paper investigates a hybrid energy-efficient framework using multiple energy harvested relays with data buffering capabilities. The relays are powered by a hybrid energy supply consisting of a traditional electric grid and renewable energy grid. We propose an energy efficient novel approach aiming to support the wireless uplink transmission from IoT devices to backhaul …

Pulsed-Active Microwave Thermography, Logan M. Wilcox, Mathias Bonmarin, Kristen M. Donnell

Electrical and Computer Engineering Faculty Research & Creative Works

Active microwave thermography (AMT) is a thermographic nondestructive testing and evaluation technique that utilizes an electromagnetic-based excitation with a subsequent infrared measurement of the surface thermal profile of the material or structure of interest. AMT has been successfully applied to several aerospace and civil infrastructure applications. This work seeks to expand the performance of AMT by incorporating a signal processing technique common to traditional (flash-lamp) thermography, referred to as pulsed thermography (PT). PT operates on the premise of a pulsed excitation, as opposed to a constant or step excitation (ST) over a given time-period that is typical to traditional active …

Generation Expansion Planning Considering Discrete Storage Model And Renewable Energy Uncertainty: A Bi-Interval Optimization Approach, Siyuan Wang, Guangchao Geng, Qy Jiang, Rui Bo

Electrical and Computer Engineering Faculty Research & Creative Works

Both discrete storage model (DSM) and continuous storage model (CSM) have been used in the power system planning literature. In this work, we conduct a sizing-error analysis for the use of CSM in generation expansion planning (GEP), which shows more reasonable storage sizing decisions are offered by the DSM in comparison to the CSM. However, when the DSM is considered in the context of interval optimization, the discrete status variables in mutually exclusive constraints and the strong temporal coupling in state-of-charge (SOC) constraints create significant challenges. To tackle this, a tailored interval optimization approach is proposed to consider both DSM …

Optimal Adaptive Output Regulation Of Uncertain Nonlinear Discrete-Time Systems Using Lifelong Concurrent Learning, R. Moghadam, B. Farzanegan, S.(Sarangapani) Jagannathan, P. Natarajan

Electrical and Computer Engineering Faculty Research & Creative Works

This Paper Addresses Neural Network (NN) based Optimal Adaptive Regulation of Uncertain Nonlinear Discrete-Time Systems in Affine Form using Output Feedback Via Lifelong Concurrent Learning. First, an Adaptive NN Observer is Introduced to Estimate Both the State Vector and Control Coefficient Matrix, and its NN Weights Are Adjusted using Both Output Error and Concurrent Learning Term to Relax the Persistency Excitation (PE) Condition. Next, by Utilizing an Actor-Critic Framework for Estimating the Value Functional and Control Policy, the Critic Network Weights Are Tuned Via Both Temporal Different Error and Concurrent Learning Schemes through a Replay Buffer. the Actor NN Weights …

Self-Vernier Effect-Assisted Optical Fiber Sensor Based On Microwave Photonics And Its Machine Learning Analysis, Chen Zhu, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

Optical Vernier Effect Has Been Recently Demonstrated as a Tool to Enhance the Sensitivity of Optical Fiber Interferometric Sensors and Has Become a Hot Topic in the Last Few Years. the Generation of the Vernier Effect Relies on the Superposition of Interferograms of Two Interferometers (A Sensing One and a Reference One) with Marginally Different Optical Path Differences (OPDs), Where an Amplitude Modulation-Like Signal is Sustained in the Output Spectrum. the Vernier Modulation Envelope Exhibits Significantly Magnified Sensitivity in Response to External Perturbations, compared to the Individual Sensing Interferometer, Providing a New Route to New Generations of Ultra-Sensitive Optical Fiber …

Temperature-Insensitive Inclinometer Based On Transmission Line Fabry-Perot Resonators, Jing Guo, Chen Zhu, Yan Tang, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

This Article Reports a Novel Self-Compensated Inclinometer with a Wide Dynamic Range and High Measurement Resolution based on Two Hollow Coaxial Cable Fabry-Perot Resonators (HCC-FPRs). the HCC-FPR is Formed between a Metal Post that Shorts the Inner Conductor and the Outer Conductor of the HCC and the Water Level Inside the HCC. Changes in Tilt Angles Result in Variations of the Water Level in the HCC, Leading to Changes in the Cavity Length of the HCC-FPR. by Tracking the Shift of the Resonance Wavelength of the HCC-FPR, a Single HCC-FPR Can Be Used as a Sensor Device for Tilt Measurements. …