Compact Dual-Mode Microstrip Band Reject Filters Based On Fractal Geometrytitle, 2016 University of Technology

#### Compact Dual-Mode Microstrip Band Reject Filters Based On Fractal Geometrytitle, Hayder S. Ahmed

*Hayder S. Ahmed*

Data-Driven Modeling, Control And Tools For Cyber-Physical Energy Systems, 2016 University of Pennsylvania

#### Data-Driven Modeling, Control And Tools For Cyber-Physical Energy Systems, Madhur Behl, Achin Jain, Rahul Mangharam

*Real-Time and Embedded Systems Lab (mLAB)*

Demand response (DR) is becoming increasingly important as the volatility on the grid continues to increase. Current DR approaches are completely manual and rule-based or in- volve deriving first principles based models which are ex- tremely cost and time prohibitive to build. We consider the problem of data-driven end-user DR for large buildings which involves predicting the demand response baseline, evaluating fixed rule based DR strategies and synthesizing DR control actions. We provide a model based control with regression trees algorithm (mbCRT), which allows us to perform closed- loop control for DR strategy synthesis for large commercial buildings. Our data-driven ...

Blind X-Ray Ct Image Reconstruction From Polychromatic Poisson Measurements, 2016 Iowa State University

#### Blind X-Ray Ct Image Reconstruction From Polychromatic Poisson Measurements, Renliang Gu, Aleksandar Dogandžić

*Electrical and Computer Engineering Publications*

We develop a framework for reconstructing images that are sparse in an appropriate transform domain from polychromatic computed tomography (CT) measurements under the blind scenario where the material of the inspected object and incident-energy spectrum are unknown. Assuming that the object that we wish to reconstruct consists of a single material, we obtain a parsimonious measurement-model parameterization by changing the integral variable from photon energy to mass attenuation, which allows us to combine the variations brought by the unknown incident spectrum and mass attenuation into a single unknown mass-attenuation spectrum function; the resulting measurement equation has the Laplaceintegral form. The ...

Enhanced Indoor Localization System Based On Inertial Navigation, 2016 The University of Western Ontario

#### Enhanced Indoor Localization System Based On Inertial Navigation, Rasika Lakmal Hettiarachchige Don

*Electronic Thesis and Dissertation Repository*

An algorithm for indoor localization of pedestrians using an improved Inertial Navigation system is presented for smartphone based applications. When using standard inertial navigation algorithm, errors in sensors due to random noise and bias result in a large drift from the actual location with time. Novel corrections are introduced for the basic system to increase the accuracy by counteracting the accumulation of this drift error, which are applied using a Kalman filter framework.

A generalized velocity model was applied to correct the walking velocity and the accuracy of the algorithm was investigated with three different velocity models which were derived ...

An Ontology And Integration Framework For Smart Communities, 2016

#### An Ontology And Integration Framework For Smart Communities, Steven R Ray, Shishir Kinkar, Mark Hennessy

*Steven R Ray*

Dr-Advisor: A Data-Driven Demand Response Recommender System, 2016 University of Pennsylvania

#### Dr-Advisor: A Data-Driven Demand Response Recommender System, Madhur Behl, Francesco Smarra, Rahul Mangharam

*Real-Time and Embedded Systems Lab (mLAB)*

Demand response (DR) is becoming increasingly important as the volatility on the grid continues to increase. Current DR ap- proaches are predominantly completely manual and rule-based or involve deriving first principles based models which are ex- tremely cost and time prohibitive to build. We consider the problem of data-driven end-user DR for large buildings which involves predicting the demand response baseline, evaluating fixed rule based DR strategies and synthesizing DR control actions. The challenge is in evaluating and taking control decisions at fast time scales in order to curtail the power consumption of the building, in return for a financial ...

A Drift Eliminated Attitude & Position Estimation Algorithm In 3d, 2016 University of Vermont

#### A Drift Eliminated Attitude & Position Estimation Algorithm In 3d, Ruoyu Zhi

*Graduate College Dissertations and Theses*

Inertial wearable sensors constitute a booming industry. They are self contained, low powered and highly miniaturized. They allow for remote or self monitoring of health-related parameters. When used to obtain 3-D position, velocity and orientation information, research has shown that it is possible to draw conclusion about issues such as fall risk, Parkinson disease and gait assessment.

A key issues in extracting information from accelerometers and gyroscopes is the fusion of their noisy data to allow accurate assessment of the disease. This, so far, is an unsolved problem. Typically, a Kalman filter or its nonlinear, non-Gaussian version are implemented for ...

Spectrum Of Intracerebral Hemorrhage In Children: A Report From Picu Of A Resource Limited Country, 2016 Aga Khan University

#### Spectrum Of Intracerebral Hemorrhage In Children: A Report From Picu Of A Resource Limited Country, Qalab Abbas, Qurat Ul Ain Merchant, Bushra Nasir, Anwar Ul Haque, Basit Salam, Gohar Javed

*Department of Paediatrics and Child Health*

Intracerebral hemorrhage (ICH) in children is a rare but disabling disease that accounts for almost half cases of stroke. We report our experience of ICH in children. Retrospective review of medical records of children (1 month-16 years) admitted in Pediatric Intensive Care Unit between January 2007 and December 2014 was done. Data collected included age, gender, presentation, examination findings, neuroimaging done (CT, MRI, and angiography) management (conservative/intervention), and outcome. Results are presented as frequency and percentages. Of the total 50 patients, 58% were male and 26% were <1 year. On presentation 44% had vomiting, 42% had seizures, and GCS < 8 while 40% had altered level of consciousness. Single bleed was present in 88%, 94% had supratentorial bleed, and 32% had intraventricular extension. 72% had bleed volume of <30 mL and 8% had >60 mL. CT scan was done in 98% patients and MRI in ...

Cepsim: Modelling And Simulation Of Complex Event Processing Systems In Cloud Environments, 2016 Western University

#### Cepsim: Modelling And Simulation Of Complex Event Processing Systems In Cloud Environments, Wilson A. Higashino, Miriam Am Capretz, Luiz F. Bittencourt

*Electrical and Computer Engineering Publications*

The emergence of Big Data has had profound impacts on how data are stored and processed. As technologies created to process continuous streams of data with low latency, Complex Event Processing (CEP) and Stream Processing (SP) have often been related to the Big Data velocity dimension and used in this context. Many modern CEP and SP systems leverage cloud environments to provide the low latency and scalability required by Big Data applications, yet validating these systems at the required scale is a research problem per se. Cloud computing simulators have been used as a tool to facilitate reproducible and repeatable ...

Influence Of Neural Network Training Parameters On Short-Term Wind Forecasting, 2016 Edith Cowan University

#### Influence Of Neural Network Training Parameters On Short-Term Wind Forecasting, Adel Brka, Yasir M. Al-Abdeli, Ganesh Kothapalli

*ECU Publications Post 2013*

This paper investigates factors which can affect the accuracy of short-term wind speed prediction when done over long periods spanning different seasons. Two types of neural networks (NNs) are used to forecast power generated via specific horizontal axis wind turbines. Meteorological data used are for a specific Western Australian location. Results reveal that seasonal variations affect the prediction accuracy of the wind resource, but the magnitude of this influence strongly depends on the details of the NN deployed. Factors investigated include the span of the time series needed to initially train the networks, the temporal resolution of these data, the ...

Effect Of Short Circuited Dc Link Capacitor Of An Ac–Dc–Ac Inverter On The Performance Of Induction Motor, 2015 King Saud University

#### Effect Of Short Circuited Dc Link Capacitor Of An Ac–Dc–Ac Inverter On The Performance Of Induction Motor, Hadeed A Sher

*Hadeed Sher*

A Cantor Fractal Based Printed Monopole Antenna For Dual-Band Wireless Applications, 2015 Department of Electrical Engineering, University of Technology, Iraq

#### A Cantor Fractal Based Printed Monopole Antenna For Dual-Band Wireless Applications, Mohammed Hussan

*Mohammed R. Hussan*

Modeling And Experimental Demonstration Of A Hopfield Network Analog-To-Digital Converter With Hybrid Cmos/Memristor Circuits, 2015 University of California, Santa Barbara

#### Modeling And Experimental Demonstration Of A Hopfield Network Analog-To-Digital Converter With Hybrid Cmos/Memristor Circuits, Xinjie Guo, Farnood Merrikh-Bayat, Ligang Gao, Brian D. Hoskins, Fabien Alibart, Bernabe Linares-Barranco, Luke Theogarajan, Christof Teuscher, Dmitri B. Strukov

*Electrical and Computer Engineering Faculty Publications and Presentations*

The purpose of this work was to demonstrate the feasibility of building recurrent artificial neural networks with hybrid complementary metal oxide semiconductor (CMOS)/memristor circuits. To do so, we modeled a Hopfield network implementing an analog-to-digital converter (ADC) with up to 8 bits of precision. Major shortcomings affecting the ADC's precision, such as the non-ideal behavior of CMOS circuitry and the specific limitations of memristors, were investigated and an effective solution was proposed, capitalizing on the in-field programmability of memristors. The theoretical work was validated experimentally by demonstrating the successful operation of a 4-bit ADC circuit implemented with discrete ...

Developing And Testing An Anguilliform Robot Swimming With Theoretically High Hydrodynamic Efficiency, 2015 University of New Orleans

#### Developing And Testing An Anguilliform Robot Swimming With Theoretically High Hydrodynamic Efficiency, John B. Potts Iii

*University of New Orleans Theses and Dissertations*

An anguilliform swimming robot replicating an idealized motion is a complex marine vehicle necessitating both a theoretical and experimental analysis to completely understand its propulsion characteristics. The ideal anguilliform motion within is theorized to produce ``wakeless'' swimming (Vorus, 2011), a reactive swimming technique that produces thrust by accelerations of the added mass in the vicinity of the body. The net circulation for the unsteady motion is theorized to be eliminated.

The robot was designed to replicate the desired, theoretical motion by applying control theory methods. Independent joint control was used due to hardware limitations. The fluid velocity vectors in the ...

Electromechanics Of An Ocean Current Turbine, 2015 University of New Orleans

#### Electromechanics Of An Ocean Current Turbine, Vasileios Tzelepis

*University of New Orleans Theses and Dissertations*

The development of a numeric simulation for predicting the performance of an Ocean Current Energy Conversion System is presented in this thesis along with a control system development using a PID controller for the achievement of specified rotational velocity set-points. In the beginning, this numeric model is implemented in MATLAB**/**Simulink® and it is used to predict the performance of a three phase squirrel single-cage type induction motor**/**generator in two different cases. The first case is a small 3 meter rotor diameter, 20 kW ocean current turbine with fixed pitch blades, and the second case a 20 meter, 720 ...

Building The Optimal Optical Guitar, 2015 Loyola Marymount University

#### Building The Optimal Optical Guitar, Chasen S. Himeda, Hossein Asghari

*Research & Exhibition*

Sound waves rely on a medium to propagate through space. Although in most cases, sound travels through mediums such as air or water, light can serve as a medium and can be analyzed to find the wave patterns for sound at varying frequencies. This is accomplished by sending a laser through an optical cable that can be sent into rapid propagation similar to a guitar string. Using appropriate Fourier analysis methods, variances in the light frequencies within the cable can be attributed to added sound vibrations caused by the vibrations of the cable; these sound vibrations can be isolated and ...

Design Of A Solar Tracking System For Improving Solar Photovoltaic Efficiency, 2015

#### Design Of A Solar Tracking System For Improving Solar Photovoltaic Efficiency, Dr. Adel A. Elbaset

*Dr. Adel A. Elbaset*

#### Reliability/Economic/Ghg Implications Of Grid-Connected Wind Energy System Based On Genetic Algorithm, Dr. Adel A. Elbaset

*Dr. Adel A. Elbaset*

Design And Implementation Of Microcontroller Based Non-Inverting Dc/Dc Buck-Boost Converter, 2015

#### Design And Implementation Of Microcontroller Based Non-Inverting Dc/Dc Buck-Boost Converter, Hamdi Ali Mohamed

*Dr. Adel A. Elbaset*

**This paper design a low cost non-inverting DC/DC buck-boost converter to produce constant output voltage with high reliability and simple control manner. The proposed controller is based on closed loop voltage mode control technique with microcontroller (atmega8) to stabilize the output voltage of DC/DC converter. The microcontroller adjusts the duty cycles of the power switches according to the measured output voltage within limited range of the input voltage of DC/DC converter. The proposed DC/DC converter is simulated on Proteus Suite and experimentally implemented in continuous conduction mode (CCM) with unregulated DC input voltage between 8-25Vand 62 ...**

Modeling Of Photovoltaic Module Based On Two-Diode Model, 2015