Television White Space Based Broadband Network’S Coverage And Capex Performance For Rural Areas Connectivity In Tanzania,
2022
Department of Electronics and Telecommunications Engineering, University of Dar es Salaam
Television White Space Based Broadband Network’S Coverage And Capex Performance For Rural Areas Connectivity In Tanzania, Moses Ismail
Tanzania Journal of Engineering and Technology (TJET)
This study compared the CAPEX requirements for a television white space (TVWS) based broadband network and that of deploying the UMTS based mobile broadband networks to deliver broadband connectivity in areas with sparse population which characterize most of Tanzania rural. Like many developing countries, Tanzania has low Internet penetration, with penetration of just over 46% when multiple subscriptions are taken into account. The affected communities are mostly rural due to low population densities which make deployment of the mobile broadband to be much expensive in terms of costs. This limits the economic development potential in these areas given that the …
A Low-Cost, Low-Power, Scada Testbed Solution For Secure Remote Monitoring,
2022
Kennesaw State University
A Low-Cost, Low-Power, Scada Testbed Solution For Secure Remote Monitoring, Connor Berger
Symposium of Student Scholars
Similar to software application systems adopted by companies and businesses for product logging, payroll, human resources, Supervisory Control and Data Acquisition (SCADA) systems control the distributed processes with multiple components located on different machines that communicate and coordinate actions in order to appear as a single coherent system. SCADA systems severely lack the appropriate security and hack prevention measures. We propose a low cost, low power SCADA testbed solution for secure remote monitoring. The goal of this research is to implement and test the testbed’s security by emulating attack vectors on both hardware components and communication channels to probe the …
Diy Cell Incubator,
2022
California Polytechnic State University, San Luis Obispo
Diy Cell Incubator, Hayden James Jeanor
Electrical Engineering
The purpose of creating a cell Incubator is for the development of cell and tissue production in laboratory settings. Large scale research projects and the medical community grow cells for various reasons, including experiments and creating tissue for patients. However, they cannot simply depend on growing cells in a petri dish that sit on a rack at room temperature. To grow heathy cells in the fastest way possible, they use cell incubators. Cell incubators create an atmosphere within the incubation bay that is designed to promote cell growth. The three main components that need to be constantly regulated, using a …
Hybrid Model For Making Decision Methods In Wireless Sensor Networks Through Neuro-Fuzzy Inference System,
2022
University of Texas at El Paso
Hybrid Model For Making Decision Methods In Wireless Sensor Networks Through Neuro-Fuzzy Inference System, Martha Lucia Torres
Open Access Theses & Dissertations
Considering the complexity and multiple alternatives for technology decisions in Wireless Sensor Networks (WSNs), a multicriteria selection method (MCDM) is an appropriate approach for choosing the best option in technical projects. Purely quantitative decision-making procedures have currently been created based on client requirements and recommendations from industry professionals in many domains. In this context, implementation and operational costs could be increasing due to technical problems and additional processes. In order to prevent future difficulties and obtain a more accurate technology selection, a new method was being developed to involve qualitative and quantitative parameters taken from real scenarios and technical literature …
Domain Aware Deep Learning For Wireless Physical Layer,
2022
University at Albany, State University of New York
Domain Aware Deep Learning For Wireless Physical Layer, Shuvam Chakraborty
Legacy Theses & Dissertations (2009 - 2024)
Wireless receiver design for OFDM systems is well investigated with classical signal processing tools, which lack the capacity to extract intrinsic channel effects in received signal and lead to high decoding error in receiver. Current deep learning techniques have shown improvement in such cases. But these models are mostly being developed as black box without any anchor to the theory of wireless signal propagation, which leads to surface level information gain and lacks generalizability. We propose deep learning models where the hyperparameters and learning objectives are derived from domain knowledge of wireless signal propagation. These models not only increase the …
An Integrated Electronic-Skin Patch For Real-Time And Continuous Monitoring Of A Panel Of Biomarkers Combined With Drug Delivery,
2022
University of Texas at Tyler
An Integrated Electronic-Skin Patch For Real-Time And Continuous Monitoring Of A Panel Of Biomarkers Combined With Drug Delivery, Tanzila Noushin
Electrical Engineering Theses
Inflammatory biomarkers present in the human body play a vital role in medical field by guiding the clinician in decision-making for many diseases. The levels of these inflammatory biomarkers are associated with the severity and progress of several diseases. Researchers have found that increasing severity of many diseases such as cardiovascular disease, after surgery infection, and adverse clinical outcomes due to infectious diseases, results in the elevation of the level of inflammatory biomarkers in human sweat. Furthermore, the inflammatory cytokines indicate the pathophysiology and prognosis of critically ill SARS‑CoV‑2 patients. In this thesis work, different sensors have been developed for …
Low Power Multi-Channel Interface For Charge Based Tactile Sensors,
2022
University of Nebraska-Lincoln
Low Power Multi-Channel Interface For Charge Based Tactile Sensors, Samuel Hansen
Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research
Analog front end electronics are designed in 65 nm CMOS technology to process charge pulses arriving from a tactile sensor array. This is accomplished through the use of charge sensitive amplifiers and discrete time filters with tunable clock signals located in each of the analog front ends. Sensors were emulated using Gaussian pulses during simulation. The digital side of the system uses SAR (successive approximation register) ADCs for sampling of the processed sensor signals.
Adviser: Sina Balkır
Optimized Learning Using Fuzzy-Inference-Assisted Algorithms For Deep Learning,
2022
University of Texas at El Paso
Optimized Learning Using Fuzzy-Inference-Assisted Algorithms For Deep Learning, Miroslava Barua
Open Access Theses & Dissertations
For years, researchers in Artificial Intelligence (AI) and Deep Learning (DL) observed that performance of a Deep Learning Network (DLN) could be improved by using larger and larger datasets coupled with complex network architectures. Although these strategies yield remarkable results, they have limits, dictated by data quantity and quality, rising costs by the increased computational power, or, more frequently, by long training times on networks that are very large. Training DLN requires laborious work involving multiple layers of densely connected neurons, updates to millions of network parameters, while potentially iterating thousands of times through millions of entries in a big …
Processes & Toolchain For Automation Of Hybrid Direct-Write 3d Printing,
2022
University of Texas at El Paso
Processes & Toolchain For Automation Of Hybrid Direct-Write 3d Printing, Gilbert Thomas Carranza
Open Access Theses & Dissertations
Hybrid 3D printing has evolved from a means to rapidly prototype devices to a fully viable means of manufacturing final products. In particular, electronic and electromagnetic devices have been a focus of hybrid 3D printing multi material structures. However, while the hardware capabilities have been around for years, the software capabilities have only begun to catch up. A process and toolchain for hybrid 3D printing is critically needed.This work details a process and toolchain for hybrid 3D printing metal dielectric structures. In it, a basic slicing algorithm is shown along with off-axis printing and conformal printing for arbitrary curvatures. These …
Permanently-Installed Distributed Pressure Sensors For Downhole Applications,
2022
Clemson University
Permanently-Installed Distributed Pressure Sensors For Downhole Applications, Xuran Zhu
All Dissertations
Technology advancements (e.g., hydraulic fracturing and horizontal drilling) to recover unconventional oil and gas (UOG) resources are critical in maintaining future U.S. oil and gas production levels. Permanently installed distributed downhole pressure sensors could monitor fracture propagation, assess the effectiveness of hydraulic fracturing, and optimize hydraulic fracturing placement so that overall UOG recovery efficiency can be increased. However, the harsh environment (high temperatures, high pressures, strong vibration, and presence of brine, mud, debris, hydrate, and various gases), the long data telemetry distance, and the requirements of reliability and service lifetime make the downhole monitoring a very challenging task. To combat …
Multi-Criteria Performance Evaluation And Control In Power And Energy Systems,
2022
Clemson University
Multi-Criteria Performance Evaluation And Control In Power And Energy Systems, Payam Ramezani Badr
All Dissertations
The role of intuition and human preferences are often overlooked in autonomous control of power and energy systems. However, the growing operational diversity of many systems such as microgrids, electric/hybrid-electric vehicles and maritime vessels has created a need for more flexible control and optimization methods. In order to develop such flexible control methods, the role of human decision makers and their desired performance metrics must be studied in power and energy systems. This dissertation investigates the concept of multi-criteria decision making as a gateway to integrate human decision makers and their opinions into complex mathematical control laws. There are two …
Electrical Modeling For Dynamic Performance Prediction And Optimization Of Mcpms Layout,
2022
University of Arkansas, Fayetteville
Electrical Modeling For Dynamic Performance Prediction And Optimization Of Mcpms Layout, Quang Minh Le
Graduate Theses and Dissertations
In recent years, the fast development of Multichip Power Modules (MCPM) packaging and Wide Bandgap (WBG) technology has enabled higher voltage and current ratings, better thermal performance, lower parasitic parameters, and higher mechanical reliability. However, the design of the MCPM layout is a multidisciplinary problem leading to many time-consuming analyses and tedious design processes. Because of these challenges, the design automation tool for MCPM layout has become an emerging research area and gained much attention from the power electronics community. The two critical objectives of a design automation tool for MCPM layout are fast and accurate models for design insights …
Hybrid Multilevel Converters With Internal Cascaded/Paralleled Structures For Mv Electric Aircraft Applications,
2022
University of Arkansas, Fayetteville
Hybrid Multilevel Converters With Internal Cascaded/Paralleled Structures For Mv Electric Aircraft Applications, Fei Diao
Graduate Theses and Dissertations
Using on-board medium voltage (MV) dc distribution system has been a megatrend for next-generation electric aircraft systems due to its ability to enable a significant system mass reduction. In addition, it makes electric propulsion more feasible using MV power electronic converters. To develop high-performance high-density MV power converters, the emerging silicon carbide (SiC) devices are more attractive than their silicon (Si) counterparts, since the fast switch frequency brought by the SiC can effectively reduce the volume and weight of the filter components and thus increase the converter power density. From the converter topology perspective, with the MV dc distribution, the …
A Patient-Specific Algorithm For Lung Segmentation In Chest Radiographs,
2022
University of Dayton
A Patient-Specific Algorithm For Lung Segmentation In Chest Radiographs, Manawaduge Supun De Silva, Barath Narayanan Narayanan, Russell C. Hardie
Electrical and Computer Engineering Faculty Publications
Lung segmentation plays an important role in computer-aided detection and diagnosis using chest radiographs (CRs). Currently, the U-Net and DeepLabv3+ convolutional neural network architectures are widely used to perform CR lung segmentation. To boost performance, ensemble methods are often used, whereby probability map outputs from several networks operating on the same input image are averaged. However, not all networks perform adequately for any specific patient image, even if the average network performance is good. To address this, we present a novel multi-network ensemble method that employs a selector network. The selector network evaluates the segmentation outputs from several networks; on …
Material Characterization And Comparison Of Sol-Gel Deposited And Rf Magnetron Deposited Lead Zirconate Titanate Thin Films,
2022
University of New Mexico - Main Campus
Material Characterization And Comparison Of Sol-Gel Deposited And Rf Magnetron Deposited Lead Zirconate Titanate Thin Films, Katherine Lynne Miles
Mechanical Engineering ETDs
Lead zirconate titanate (PZT) has been a material of interest for sensor, actuator, and transducer applications in microelectromechanical systems (MEMS). This is due to their favorable piezoelectric, pyroelectric and ferroelectric properties. While various methods are available to deposit PZT thin films, radio frequency (RF) magnetron sputtering was selected to provide high quality PZT films with the added capability of batch processing. These sputter deposited PZT films were characterized to determine their internal film stress, Young’s modulus, composition, and structure. After characterization, the sputtered PZT samples were poled using corona poling and direct poling methods. As a means of comparison, commercially …
Sers Platform For Single Fiber Endoscopic Probes,
2022
Louisiana State University and Agricultural and Mechanical College
Sers Platform For Single Fiber Endoscopic Probes, Debsmita Biswas
LSU Doctoral Dissertations
Molecular detection techniques have huge potential in clinical environments. In addition to many other molecular detection techniques, endoscopic Raman spectroscopy has great ability in terms of minimal invasiveness and real-time spectra acquisition. However, Raman Effect is low in sensitivity, limiting the application. Surface-Enhanced Raman Scattering (SERS), addresses this limitation. SERS brings rough nano-metallic surfaces in contact with specimen molecules which enormously enhances Raman signals. This provides Raman spectroscopy with immense capabilities for diverse fields of applications.
Generally, in clinical probe applications, the spectrometer is brought near the target molecules for detection. Typically, optical fibers are used to couple spectrometers to …
A Field-Deployable Quartz Crystal Microbalance System For Gas Detection,
2022
Louisiana State University and Agricultural and Mechanical College
A Field-Deployable Quartz Crystal Microbalance System For Gas Detection, Jongyoon Park
LSU Doctoral Dissertations
Quartz crystal microbalance (QCM) has been widely studied as a mass sensing technique in laboratory environments and has shown a wide range of industrial applications such as food quality control, various forms of chemical detection, and biomolecular recognition under gas phase as well as liquid phase media. The construction of multi-sensor arrays combined with special sensor coatings enables multiple analyte detections and discrimination of multi-analyte along with statistical analysis. Despite the great sensing capabilities of QCM and growing interest in practical applications beyond the laboratory setup, most QCM studies are still performed in laboratory settings with benchtop QCM instruments. Therefore, …
Hypoxic Incubation Chamber,
2022
California Polytechnic State University, San Luis Obispo
Hypoxic Incubation Chamber, Simone Lisette Helfrich, Makenzie Nicole Jones
Biomedical Engineering: Graduate Reports and Projects
This paper describes the design, manufacturing, and testing of a novel controllable hypoxic incubator with fully functional oxygen gas control and temperature control in a humid environment. On the current market, a majority of the few hypoxic incubators use pre-mixed gas that does not offer precise control over gas concentration. The objective for this project was to create a chamber that allows the user to set the O2 concentration to varying set points of % O2 while maintaining the chamber at a constant body temperature, CO2 level, humidity, and sterility. To start the project, multiple concepts were developed for the …
Hypoxic Incubation Chamber,
2022
California Polytechnic State University, San Luis Obispo
Hypoxic Incubation Chamber, Simone Lisette Helfrich, Makenzie Nicole Jones
Master's Theses
This paper describes the design, manufacturing, and testing of a novel controllable hypoxic incubator with fully functional oxygen gas control and temperature control in a humid environment. On the current market, a majority of the few hypoxic incubators use pre-mixed gas that does not offer precise control over gas concentration. The objective for this project was to create a chamber that allows the user to set the O2 concentration to varying set points of % O2 while maintaining the chamber at a constant body temperature, CO2 level, humidity, and sterility. To start the project, multiple concepts were developed for the …
Solid State Lighting/Led Lighting, With Reliability Analysis And Smart Sustainable Energy Solutions,
2022
Manipal Institute of Technology, Manipal
Solid State Lighting/Led Lighting, With Reliability Analysis And Smart Sustainable Energy Solutions, Anjan N. Padmasali Dr.
Technical Collection
Reliability analysis of LED based lighting solutions used in general applications. Daily use LED luminaire performance analysis at different accelerated conditions and prediction of performance for any other conditions. System and component level reliability study and analysis. Develop LED based solutions for any specific application requirements. Currently working on developing measurements, data analysis and solutions in lines with providing smart and sustainable solution applicable to lighting and also energy usage optimizations in any system.
- https://ieeexplore.ieee.org/document/9537294
- https://journals.sagepub.com/doi/10.1177/1477153520976936
- https://ieeexplore.ieee.org/document/9559924
- https://ieeexplore.ieee.org/document/9108554
- https://ieeexplore.ieee.org/document/8930628
