Electrical and Computer Engineering Commons^™

Modeling Of Small-Scale Wind Power System With Virtual Synchronous Generator, Sahithi Nannapaneni

All Graduate Theses, Dissertations, and Other Capstone Projects

Wind power systems are the most commonly used systems for a renewable energy source over the past few decades. Most of the current wind turbines are large scale wind turbines which produce mega watts power. This thesis is prepared to develop a small scale wind turbine with axial flux permanent magnet synchronous generator for regional areas and small commercial industries. This thesis mainly focuses on the Axial Flux PMSG which is a small scale prototype with the characteristics of the large scale wind turbine generator and having a super capacitor embedded in it. The first objective is to create the …

Investigation Of High Indium-Composition Ingan/Gan Heterostructures On Zno Grown By Metallic Organic Chemical Vapor Deposition, M. Tian, Y. D. Qian, C. Zhang, L. Li, S. D. Yao, I. T. Ferguson, D. N. Talwar, J. Y. Zhai, D. H. Meng, K. Y. He, L. Y. Wan, Z. C. Feng

Electrical and Computer Engineering Faculty Research & Creative Works

The optical properties and film quality for a series of high-In composition InGaN films grown on ZnO substrate by metal-organic chemical vapor deposition (MOCVD) are characterized by using high resolution X-ray diffraction (HRXRD), Rutherford backscattering (RBS), X-ray photoelectron spectroscopy (XPS), photoluminescence (PL), and Raman scattering spectroscopy (RSS). The In composition is evaluated by analyzing the RBS and PL emission spectra. The XPS measurements revealed the diffusion of Zn atoms from the substrate into InGaN films. All the analyses of experimental measurements have shown that the growth temperature played an important role in indium composition as well as of film quality. …

Modeling, Designing And Analysis Of A Standalone Pv Dc Microgrid System, Sharaf Sumaiya

College of Graduate Studies: Theses & Dissertations

The increasing concern about global warming, the upsurge of oil prices, and pollution of petroleum energy has led scientists to search for cost-effective energy sources, for example, photovoltaics. Recently DC microgrids have also drawn more consideration because of the expanding use of direct current (DC) energy sources, energy storages and loads in power systems. First, as a groundwork, the 1D organic solar cell has been investigated that leads to design 3D organic solar cell. Then design and analysis of a standalone solar PV system with dc microgrid has been proposed to supply power for both DC and AC loads. The …

Predicting Energy And Water Consumption On Dairy Farms Through Statistical Analysis And Machine-Learning Methods, Philip Shine

Theses

With the abolishment of milking quotas across all European Union member states in April 2015, dairy farmers must adjust their farming practises to minimise milk production costs to adequately prepare for potential periods of reduced revenue. Milk production is an intense energy and water consuming process. Coupled with challenging European greenhouse gas reduction targets and legislation regarding the prevention of groundwater pollution and deterioration, increasing the production of milk in Ireland must be met with the sustainable consumption of on-farm energy and direct water resources, to ensure the future monetary and environmental sustainability of Ireland’s dairy industry. Thus, this body …

Development, Manufacture And Application Of A Solid-State Ph Sensor Using Ruthenium Oxide, Wade Lonsdale

Theses: Doctorates and Masters

The measurement of pH is undertaken frequently in numerous settings for many applications. The common glass pH probe is almost ideal for measuring pH, and as such, it is used almost ubiquitously. However, glass is not ideal for all applications due to its relatively large size, fragility, need for recalibration and wet-storage. Therefore, much research has been undertaken on the use of metal oxides as an alternative for the measurement of pH.

Here, a solid-state potentiometric pH sensor is developed using ruthenium metal oxide (RuO2). Initially, pH sensitive RuO2 electrodes were prepared by deposition with radio frequency magnetron sputtering (RFMS) …

Optimisation Of Stand-Alone Hybrid Energy Systems For Power And Thermal Loads, Barun Kumar Das

Theses: Doctorates and Masters

Stand-alone hybrid energy systems are an attractive option for remote communities without a connection to a main power grid. However, the intermittent nature of solar and other renewable sources adversely affects the reliability with which these systems respond to load demands. Hybridisation, achieved by combining renewables with combustion-based supplementary prime movers, improves the ability to meet electric load requirements. In addition, the waste heat generated from backup Internal Combustion Engines or Micro Gas Turbines can be used to satisfy local heating and cooling loads. As a result, there is an expectation that the overall efficiency and Greenhouse Gas Emissions of …

Detection Of Orbital Angular Momentum With Metasurface At Microwave Band, Menglin L.N. Chen, Li (Lijun) Jun Jiang, Wei E.I. Sha

Electrical and Computer Engineering Faculty Research & Creative Works

An orbital angular momentum (OAM) detection approach at microwave band is proposed. A transmittance function is exploited to model a transmissive metasurface. Then, the metasurface is designed to convert an OAM wave to multiple waves, only one of which is Gaussian. The radiation direction of the Gaussian wave is distinguishable according to the order of incident OAM. Consequently, by locating the Gaussian wave, the incident OAM can be conveniently determined. We use a simple field source to simulate the incident OAM wave in full-wave simulation. It largely simplifies the simulation process when an incident wave carrying OAM is needed. Both …

Machine Learning Based Multilevel Fast Multipole Algorithm, Jia Jing Sun, Sheng Sun, Yongpin Chen, Li (Lijun) Jun Jiang

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, a novel translator calculation method for the multilevel fast multipole algorithm (MLFMA) is proposed based on a machine learning approach. The generalized regression neural networks are introduced to fit the translation function of MLFMA during the procedure of eletromagnetic scattering analysis. Compared to the traditional method, the new method inherits advantages of the generalized regression neural networks (GRNN) and can approximate the translator with high accuracy simultaneously. As an example, a two-level 2D MLFMA for a perfect electrically conductor (PEC) is finally implemented and the translators are reconstructed by using the proposed model. The numerical results validate …

Fast Direct Equivalence Principle Algorithm For Multi-Scale Electromagnetic Problems, Qin S. Liu, Qi Dai, Tian Xia, Ting Wan, Li (Lijun) Jun Jiang, Sheng Sun, Weng Cho Chew

Electrical and Computer Engineering Faculty Research & Creative Works

The Equivalence principle algorithm is proposed to integrated with hierarchical matrix based fast direct solver in order to solve deep multi-scale problem accurately and efficiently. Additionally, model order reduction techniques are applied to the equivalence principle algorithm to further reduce the computational complexities.

Machine Learning Based Neural Network Solving Methods For The Fdtd Method, He Ming Yao, Li (Lijun) Jun Jiang

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, two novel computational processes are proposed to solve Finite-Difference Time-Domain (FDTD) based on machine learning deep neural networks. The field and boundary conditions are employed to establish recurrent neural network FDTD (RNN-FDTD) model and convolution neural network FDTD (CNN-FDTD) model respectively. Numerical examples from scalar wave equations are provided to benchmark the performance of the proposed methods. The results demonstrate that the newly proposed methods could solve FDTD steps with satisfactory accuracy. According to our knowledge, these are unreported new approaches for machine learning based FDTD solving methods.

Containment Control Of Heterogeneous Systems With Non-Autonomous Leaders: A Distributed Optimal Model Reference Approach, Yongliang Yang, Shusen Cheng, Yixin Yin, Donald C. Wunsch

Electrical and Computer Engineering Faculty Research & Creative Works

This paper presents a distributed optimal model reference adaptive control approach for solving containment control of heterogeneous multi-agent systems (MASs) with non-autonomous leaders. First, a fully distributed adaptive observer is designed to provide for each agent the desired reference trajectory by estimating the convex hull spanned by leaders. The distributed observer dynamics serves as a reference model for each follower to synchronize. The global communication graph information or the leader dynamics is not required to design the observer. In contrast to existing model reference adaptive controllers (MRAC) for single-agent systems and containment control solutions for MASs, the proposed MRAC approach …

Room Temperature Ferromagnetism In Gadolinium-Doped Gallium Nitride, Vishal G. Saravade, Cameron H. Ferguson, Amirhossein Ghods, Chuanle Zhou, Ian T. Ferguson

Electrical and Computer Engineering Faculty Research & Creative Works

Anomalous Hall effect was observed at room temperature in MOCVD-grown GaGdN from a (TMHD)3Gd source, which can contain oxygen in its organic ligand. GaN, and GaGdN grown using a Cp3Gd precursor which does not contain oxygen only showed the ordinary Hall effect. This indicates that oxygen could have a role in magnetic properties of GaGdN. The relationship between the anomalous Hall conductivity and longitudinal conductivity indicated that metallic conduction, hopping of carriers, and scattering-independent mechanisms are likely responsible for the ferromagnetism. However, this still requires further clarification.

Nonlinear Stochastic Filtering For Online State Of Charge And Remaining Useful Life Estimation Of Lithium-Ion Battery, Suresh Daravath

Electronic Theses and Dissertations

Battery state monitoring is one of the key techniques in Battery Management System (BMS). Accurate estimation can help to improve the system performance and to prolong the battery lifetime. The main challenges for the state online estimation of Li-ion batteries are the flat characteristic of open circuit voltage (OCV) with the function of the state of charge. Hence, the focus of this thesis study is to estimation of the state of charge (SOC) of Li-ion with high accuracy, more robustness. A 2nd order RC equivalent circuit model is adapted to battery model for simulation, mathematical model analysis, and dynamics characteristic …

Novel Technique Of Fabrication Of Porous Copper And Copper Oxide To Improve The Lithium Ion Battery Performance, Raju Prasad Ghimire

Electronic Theses and Dissertations

Due to widespread and long-term application, Lithium-ion batteries are considered as promising power sources for portable devices, satellites, medical instruments, computers, electric vehicles and grid application. It started to occupy the market once Sony commercialized in 1991. Rechargeable lithium ion batteries drawing people attention due to their peculiar properties such as high energy density and low self-discharge compared to other alkali metals. However, these widespread and long-term applications still require better batteries in terms of performance, safety and cost, which can be achieved by better utilization of anode materials and/or an optimized design of battery configuration. There are several challenges …

Study Of Seasonal Change And Water Stress Condition In Plant Leaf Using Polarimetric Lidar Measurement, Prabeen Kattel

Electronic Theses and Dissertations

Study of vegetation is of great importance to the improvement of agriculture and forest management. Although there have been various attempts to characterize vegetation using remote sensing techniques, polarimetric lidar is a novel remote sensing tool that has shown potential in vegetation remote sensing. In this thesis, a near-infrared polarimetric lidar at 1064 nm was used to investigate the effects of seasonal change and water stress condition on plant leaves. Two variables, time and water content, affected the plant leaf laser depolarization ratio measurement. The first study focused on the maple tree in order to figure out how seasonal change …

Chronic Risk And Disease Management Model Using Structured Query Language And Predictive Analysis, Mamata Ojha

Electronic Theses and Dissertations

Individuals with chronic conditions are the ones who use health care most frequently and more than 50% of top ten causes of death are chronic diseases in United States and these members always have health high risk scores. In the field of population health management, identifying high risk members is very important in terms of patient health care, disease management and cost management. Disease management program is very effective way of monitoring and preventing chronic disease and health related complications and risk management allows physicians and healthcare companies to reduce patient’s health risk, help identifying members for care/disease management along …

Design, Implementation And A Pilot Study Of Mobile Framework For Pedestrian Safety Using Smartphone Sensors, Aawesh Man Shrestha

Electronic Theses and Dissertations

Pedestrian distraction from smartphones is a serious social problem that caused an ever increasing number of fatalities especially as virtual reality (VR) games have gained popularity recently. In this thesis, we present the design, implementation, and a pilot study of WiPedCross, a WiFi direct-based pedestrian safety system that senses and evaluates a risk, and alerts accordingly the user to prevent traffic accidents. In order to develop a non-intrusive, accurate, and energy-efficient pedestrian safety system, a number of technical challenges are addressed: to enhance the positioning accuracy of the user for precise risk assessment, a map-matching algorithm based on a Hidden …

Techno-Economic Analysis Of Pv Inverter Based Controllers On Low Voltage Distribution Networks, Rupak Mahat

Electronic Theses and Dissertations

Voltage-rise due to increasing installation of photovoltaic (PV) systems is a major technical issue in low voltage distribution networks. A cost-effective approach to address the overvoltage problem is to control the active and reactive power provided by the existing PV inverters. Prior research used electro-magnetic transient (EMT) simulation tools to develop inverter control strategies for overvoltage prevention. These type of simulation requires high computational resources and simulation time, and is therefore not suitable for long time period studies (e.g., annual) with many inverters. With the anticipated high penetration of PV, there is a desire for a suitable tool for long …

Enabling Low Cost Wifi-Based Traffic Monitoring System Using Deep Learning, Sayan Sahu

Electronic Theses and Dissertations

A traffic monitoring system (TMS) is an integral part of Intelligent Transportation Systems (ITS) for traffic analysis and planning. However, covering huge miles of rural highways (119,247 miles in U.S.) with a large number of TMSs is a very challenging problem due to the cost issue. This paper aims to address the problem by developing a low-cost and portable TMS called DeepWiTraffic based on COTs WiFi devices. The proposed system enables accurate vehicle detection (counting) and classification by exploiting the unique WiFi Channel State Information (CSI) of passing vehicles. Spatial and temporal correlations of CSI amplitude and phase data are …

Cross Calibration And Validation Of Landsat 8 Oli And Sentinel 2a Msi, M. M. Farhad

Electronic Theses and Dissertations

This work describes a proposed radiometric cross calibration between the Landsat 8 Operational Land Imager (OLI) and Sentinel 2A Multispectral Instrument (MSI) sensors. The cross calibration procedure involves i) correction of the MSI data to account for spectral band differences with the OLI; and ii) correction of BRDF effects in the data from both sensors using a new model accounting for the view zenith/azimuth angles in addition to the solar zenith/view angles. Following application of the spectral and BRDF corrections, standard least-squares linear regression is used to determine the cross calibration gain and offset in each band. Uncertainties related to …

Learning From Experience: An Automatic Ph Neutralization System Using Hybrid Fuzzy System And Neural Network, Ethar H.K. Alkamil, Seaar Al-Dabooni, Ahmed K. Abbas, Ralph Flori, Donald C. Wunsch

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

In oil and gas industry, the pH level is one of the most important indicators of mud contamination while drilling. Although the process has simple components, the pH neutralization process is complicated in the mud circulation system. This difficulty is due to the high nonlinearity of the process. In this paper, the fuzzy neural network (FNN) is integrated to the fuzzy logic controller (FLC) to create a system which identifies pH fluctuation into a drilling mud system, assesses and signals its severity. And then, it automatically actuates a chemical treating fluids valve (CTFV), such as Caustic Soda (CS), for neutralizing …

Cyber-Physical Embedded Systems With Transient Supervisory Command And Control: A Framework For Validating Safety Response In Automated Collision Avoidance Systems, Daniel K. Trembley

Graduate Dissertations and Theses

The ability to design and engineer complex and dynamical Cyber-Physical Systems (CPS) requires a systematic view that requires a definition of level of automation intent for the system. Since CPS covers a diverse range of systemized implementations of smart and intelligent technologies networked within a system of systems (SoS), the terms “smart” and “intelligent” is frequently used in describing systems that perform complex operations with a reduced need of a human-agent. The difference between this research and most papers in publication on CPS is that most other research focuses on the performance of the CPS rather than on the correctness …

Side-Information For Steganography Design And Detection, Tomas Denemark

Graduate Dissertations and Theses

Today, the most secure steganographic schemes for digital images embed secret messages while minimizing a distortion function that describes the local complexity of the content. Distortion functions are heuristically designed to predict the modeling error, or in other words, how difficult it would be to detect a single change to the original image in any given area. This dissertation investigates how both the design and detection of such content-adaptive schemes can be improved with the use of side-information.

We distinguish two types of side-information, public and private: Public side-information is available to the sender and at least in part also …

Performance Analysis Of A Computer-Aided Detection System For Lung Nodules In Ct At Different Slice Thicknesses, Barath Narayanan, Russell C. Hardie, Temesguen Messay Kebede

Electrical and Computer Engineering Faculty Publications

We study the performance of a computer-aided detection (CAD) system for lung nodules in computed tomography (CT) as a function of slice thickness. In addition, we propose and compare three different training methodologies for utilizing nonhomogeneous thickness training data (i.e., composed of cases with different slice thicknesses). These methods are (1) aggregate training using the entire suite of data at their native thickness, (2) homogeneous subset training that uses only the subset of training data that matches each testing case, and (3) resampling all training and testing cases to a common thickness. We believe this study has important implications for …

Datanet: Deep Learning Based Encrypted Network Traffic Classification In Sdn Home Gateway, Pan Wang, Feng Ye, Xuejiao Chen, And Yi Qian

Electrical and Computer Engineering Faculty Publications

A smart home network will support various smart devices and applications, e.g., home automation devices, E-health devices, regular computing devices, and so on. Most devices in a smart home access the Internet through a home gateway (HGW). In this paper, we propose a software-defined- network (SDN)-HGW framework to better manage distributed smart home networks and support the SDN controller of the core network. The SDN controller enables efficient network quality-of-service management based on real-time traffic monitoring and resource allocation of the core network. However, it cannot provide network management in distributed smart homes. Our proposed SDN-HGW extends the control to …

Utility-Scale Solar Photovoltaic Hosting Potential Of Historic Mill Sites In Humboldt County, California, Michael Avcollie

Cal Poly Humboldt theses and projects

The adoption of Redwood Coast Energy Authority’s (RCEA’s) Community Choice Energy program in May of 2017 across Humboldt County has sparked interest in locally produced energy from solar photovoltaics (PV). RCEA has a goal of bringing 5 Megawatts (MW) of local, utility-scale, solar PV under contract by 2018 and 15 MW by 2023. Humboldt County’s former mill sites offer features that make them suitable for hosting PV development. This study performed an inventory and analysis of these sites to answer two questions: Can Humboldt County’s former mill sites provide the hosting capacity for15 MW of local, utility-scale solar PV? Which …

Hydrophobic Surface Modification Of Polymethyl Methacrylate By Two-Dimensional Plasma Jet Array At Atmospheric Pressure, Feng Liu, Meiling Cai, Bo Zhang, Zhi Fang, Chunqi Jiang, Kostya Ken Ostrikov

Bioelectrics Publications

Recently developed atmospheric pressure plasma jet (APPJ) is considered as a novel and efficient technique for uneven surfaces processing and APPJ array effectively expands the treatment area of a single APPJ. In this paper, a two-dimensional (2D) APPJ array in Ar/tetramethylsilane (TMS) is used to improve the surface hydrophobicity of polymethyl methacrylate (PMMA) by depositing polymerized silicalike clusters on the jet-PMMA interface. The electrical and optical characteristics of the 2D Ar/TMS APPJ array are measured to optimize experimental conditions. The wettability of jet-PMMA interface is assessed by measuring water contact angle, which increases from 65° to a maximum value of …

Upregulation Of Dna Sensors In B16.F10 Melanoma Spheroid Cells After Electrotransfer Of Pdna, Katarina Znidar, Masa Bosnjak, Tanja Jesenko, Loree C. Heller, Maja Cemazar

Bioelectrics Publications

Increased expression of cytosolic DNA sensors, a category of pattern recognition receptor, after control plasmid DNA electrotransfer was observed in our previous studies on B16.F10 murine melanoma cells. This expression was correlated with the upregulation of proinflammatory cytokines and chemokines and was associated with cell death. Here, we expanded our research to include the influence of features of cells in a 3-dimensional environment, which better represents the tumors’ organization in vivo. Our results show that lower number of cells were transfected in spheroids compared to 2-dimensional cultures, that growth was delayed after electroporation alone or after electrotransfer of plasmid …

Excitation And Injury Of Adult Ventricular Cardiomyocytes By Nano- To Millisecond Electric Shocks, Iurii Semenov, Sergey Grigoryev, Johanna U. Neuber, Christian W. Zemlin, Olga N. Pakhomova, Maura Casciola, Andrei G. Pakhomov

Bioelectrics Publications

Intense electric shocks of nanosecond (ns) duration can become a new modality for more efficient but safer defibrillation. We extended strength-duration curves for excitation of cardiomyocytes down to 200 ns, and compared electroporative damage by proportionally more intense shocks of different duration. Enzymatically isolated murine, rabbit, and swine adult ventricular cardiomyocytes (VCM) were loaded with a Ca²⁺ indicator Fluo-4 or Fluo-5N and subjected to shocks of increasing amplitude until a Ca²⁺ transient was optically detected. Then, the voltage was increased 5-fold, and the electric cell injury was quantified by the uptake of a membrane permeability marker dye, propidium …

Effective Turning Motion Control Of Internally Actuated Autonomous Underwater Vehicles, Saeedeh Ziaeefard, Brian R. Page, Anthony Pinar, Nina Mahmoudian

Michigan Tech Publications, Part 1

This paper presents a novel roll mechanism and an efficient control strategy for internally actuated autonomous underwater vehicles (AUVs). The developed control algorithms are tested on Michigan Tech’s custom research glider, ROUGHIE (Research Oriented Underwater Glider for Hands-on Investigative Engineering), in a controlled environment. The ROUGHIE’s design parameters and operational constraints were driven by its requirement to be man portable, expandable, and maneuverable in shallow water. As an underwater glider, the ROUGHIE is underactuated with direct control of only depth, pitch, and roll. A switching control method is implemented on the ROUGHIE to improve its maneuverability, enabling smooth transitions between …