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

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

Hayder S. Ahmed

In this paper, a new fractal based microstrip dual-mode band stop filter (BSF) has been presented. The proposed filter structure is essentially based on that of the triangular patch resonators with an embedded slit structure. The Koch fractal geometry has been applied to the uncoupled side lengths of the triangular patch resonator. The filter structure has been modeled and its performance is evaluated using the commercially available EM simulator, Sonnet. Results reveal that the resulting dual-mode response is highly dependent on the uncoupled side lengths of the triangular patch resonator. Parametric study has been conducted to explore the effect of ...


Data-Driven Modeling, Control And Tools For Cyber-Physical Energy Systems, Madhur Behl, Achin Jain, Rahul Mangharam 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, Renliang Gu, Aleksandar Dogandžić 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, Rasika Lakmal Hettiarachchige Don 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, Steven R Ray, Shishir Kinkar, Mark Hennessy 2016

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

Steven R Ray

This paper describes our work concerning the definition of a neutral, abstract ontology, and framework that supports the vision and diverse contexts of a smart community. This framework is composed of a general, core ontology that supports what many are calling the Internet of Things (IoT), a scalable number of extension ontologies to describe various application perspectives, and a mapping methodology to relate external data and/or schemas to our ontology. Finally, we show why this ontology is scalable and generic enough to support a wide range of smart devices, systems, and people.


Dr-Advisor: A Data-Driven Demand Response Recommender System, Madhur Behl, Francesco Smarra, Rahul Mangharam 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, Ruoyu Zhi 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, Qalab Abbas, Qurat ul Ain Merchant, Bushra Nasir, Anwar ul Haque, Basit Salam, Gohar Javed 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, Wilson A. Higashino, Miriam AM Capretz, Luiz F. Bittencourt 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, Adel Brka, Yasir M. Al-Abdeli, Ganesh Kothapalli 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, Hadeed A Sher 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

Induction motors are widely used in industrial power plants due to their robustness, reliability and high performance under variable operating conditions in the electrical power system. Modern industrial progress is dependent on these ruggedly constructed induction motors. Almost every sophisticated process of the industry is based on induction motors. Most of these motors are controlled by means of inverters that change the line frequency. The change in parameters of inverter makes it possible to control the motor according to the design requirements. The reliability of inverter based motor control is an important issue for industrial applications and therefore, it becomes ...


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

Cantor fractal geometry and its variants are found attractive for microwave
antenna designers seeking for compact size multiband antennas. This paper presents the
design of a new microstrip fed printed monopole antenna for use in dual-band wireless
applications. The radiating element of the monopole antenna is in the form of Cantor fractal
geometry of the second iteration as applied on rectangular patch. The monopole radiating
element has been etched on a substrate with relative permittivity of 4.4 and 1.6 mm
thickness and is fed with a 50 ohm microstrip line.  A reduced ground plane has been
etched on ...


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 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, John B. Potts III 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, VASILEIOS TZELEPIS 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, Chasen S. Himeda, Hossein Asghari 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, Dr. Adel A. Elbaset 2015

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

Dr. Adel A. Elbaset

The aim of this work is to develop a microcontroll
er-based solar tracking system and assess the value of using
single and dual-axis solar trackers as means for improving the
performance of photovoltaic generation systems. Two
experimental test setups were designed, implemented and
used to collect the evaluation results at a site that is located
at 28° N latitude, 31° E longitude. One of the test setups
included a monocrystalline photovoltaic (PV) panel that is fixed
at a reference inclination angle of 28° with respect to the horizon,
and facing due south. Whereas, the other experimental setup
included an identical ...


Reliability/Economic/Ghg Implications Of Grid-Connected Wind Energy System Based On Genetic Algorithm, Dr. Adel A. Elbaset 2015

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

Dr. Adel A. Elbaset

Greenhouse gas, economic, and reliability issues are becoming more important for the emerging wind markets worldwide. With the interconnection of wind energy system into the electric grid, the fluctuating nature of the energy produced has a different effect on the overall system reliability/economic and GHG emissions as well as the fluctuating nature of energy produced by grid. Optimum reliability/economic and pollutant emission are multi-objective problem because reliability is conflicting with annual cost and GHG emissions. The reliability index is analyzed using probabilistic concept in order to find loss of load probability and annual customer damage cost. Therefore, this ...


Design And Implementation Of Microcontroller Based Non-Inverting Dc/Dc Buck-Boost Converter, Hamdi Ali Mohamed 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, Dr. Adel A. Elbaset 2015

Modeling Of Photovoltaic Module Based On Two-Diode Model, Dr. Adel A. Elbaset

Dr. Adel A. Elbaset

Abstract—Modeling of Photovoltaic (PV) system represents
very important goal for design and performance of PV system.
This paper presents a new method based on two-diode model to
estimate seven-parameter of PV module to describe I-V and P-V
characteristic curves at different solar radiations and
temperatures. Newton-Raphson method is used with the aid of
initial values of seven-parameter that are derived from basic
equations of two-diode model and manufacturing datasheet at
standard test conditions (STC) to compute accurate values of
these parameters. The proposed model is validated on two
different PV modules of multi-crystalline and thin-film. I-V and
P-V characteristics ...


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