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Full-Text Articles in Engineering

Technology Planning For Aligning Emerging Business Models And Regulatory Structures: The Case Of Electric Vehicle Charging And The Smart Grid, Kelly R. Cowan Dec 2017

Technology Planning For Aligning Emerging Business Models And Regulatory Structures: The Case Of Electric Vehicle Charging And The Smart Grid, Kelly R. Cowan

Dissertations and Theses

Smart grid has been described as the Energy Internet: Where Energy Technology meets Information Technology. The incorporation of such technology into vast existing utility infrastructures offers many advantages, including possibilities for new smart appliances, energy management systems, better integration of renewable energy, value added services, and new business models, both for supply- and demand-side management. Smart grid also replaces aging utility technologies that are becoming increasingly unreliable, as the average ages for many critical components in utility systems now exceed their original design lives. However, while smart grid offers the promise of revolutionizing utility delivery systems, many questions remain about …


Physics Based Approach For Seafloor Classification, Phu Duy Nguyen Dec 2017

Physics Based Approach For Seafloor Classification, Phu Duy Nguyen

Dissertations and Theses

The seafloor properties are of high importance for many applications such as marine biology, oil and gas exploration, laying cables, dredging operations and off-shore construction. Several approaches exist to classify the properties of the seabed. These include taking direct samples of the seabed (e.g., coring), however, these methods are costly and slow. Underwater acoustic remote sensing techniques are of interest because they are lower cost and faster. The information about the seabed properties can be extracted by studying the energy of single beam echo sounders (SBES). This can be done by either phenomenological or numerical methods [1], [2]. This research …


Optimizing Distributed Energy Resources On A Distribution Feeder, Bill Henry, Stephen Macdonald, Nicole Wehner, Gabe Mcbride, Tyler Groth Oct 2017

Optimizing Distributed Energy Resources On A Distribution Feeder, Bill Henry, Stephen Macdonald, Nicole Wehner, Gabe Mcbride, Tyler Groth

Engineering and Technology Management Student Projects

The purpose of this study is to optimize a set of distributed energy resources (DERs) on an electric utility distribution level feeder. A DER is a decentralized resource, usually located at end-use electric utility customer sites, that stores or generates electricity – such as batteries and rooftop photovoltaic solar, or in the case of demand response, in which the utility has the ability to manage electricity consumption to the benefit of distribution grid operation. The aggregation and optimization of a set of DERs of disparate operating characteristics, over a period of three years is performed and the methods employed explained. …


Memetic-Based Schedule Synthesis For Communication On Time-Triggered Embedded Systems, Heyuan Shi, Kun Tang, Chengbao Lio, Xiaoyu Song, Chao Hu, Jiaguang Sun Oct 2017

Memetic-Based Schedule Synthesis For Communication On Time-Triggered Embedded Systems, Heyuan Shi, Kun Tang, Chengbao Lio, Xiaoyu Song, Chao Hu, Jiaguang Sun

Electrical and Computer Engineering Faculty Publications and Presentations

ime-triggered systems play an important role in industrial embedded systems. The time-triggered network is deployed on the time-triggered network-on-chip implementation. It ensures the safety-critical industrial communication for real-time embedded multiprocessor systems. To guarantee the safety-critical requirements for communication, each message is transmitted by a predefined static schedule. However, synthesizing a feasible schedule is a challenge because both spatial and temporal constraints should be considered. This article presents a novel memetic-based schedule synthesis algorithm to derive a feasible schedule by determining the offset of messages on the time-triggered network-on-chip. Memetic-based schedule synthesis algorithm is based on memetic algorithm, which incorporates local …


On Dual-Band Amplifications Using Dual Two-Tones: Clarifications And Discussion, Siyuan Yan, Xianzhen Yang, Xiao Li, Fu Lo Sep 2017

On Dual-Band Amplifications Using Dual Two-Tones: Clarifications And Discussion, Siyuan Yan, Xianzhen Yang, Xiao Li, Fu Lo

Electrical and Computer Engineering Faculty Publications and Presentations

A significant development of recent research in nonlinear distortion is the expansion of the conventional two-tone test for power amplifiers to the concurrent dual-band transmitters, by Amin et al. A general framework using dual two-tones is developed, which shows that the output signal is affected not only by intermodulation (IM) products but also by cross-modulation (CM) products. In this paper, we will make a number of clarifications to Amin et al.'s paper. The effects of IM and CM in passband will be discussed, IM represents a reduction for compressive devices, and CM reflects an interference caused by the signal from …


The Social Acceptance Of Community Solar: A Portland Case Study, Anne Weaver Sep 2017

The Social Acceptance Of Community Solar: A Portland Case Study, Anne Weaver

Dissertations and Theses

Community solar is a renewable energy practice that's been adopted by multiple U.S. states and is being considered by many more, including the state of Oregon. A recent senate bill in Oregon, called the "Clean Electricity and Coal Transition Plan", includes a provision that directs the Oregon Public Utility Commission to establish a community solar program for investor-owned utilities by late 2017. Thus, energy consumers in Portland will be offered participation in community solar projects in the near future. Community solar is a mechanism that allows ratepayers to experience both the costs and benefits of solar energy while also helping …


Laser As A Tool To Study Radiation Effects In Cmos, Bahar Ajdari Aug 2017

Laser As A Tool To Study Radiation Effects In Cmos, Bahar Ajdari

Dissertations and Theses

Energetic particles from cosmic ray or terrestrial sources can strike sensitive areas of CMOS devices and cause soft errors. Understanding the effects of such interactions is crucial as the device technology advances, and chip reliability has become more important than ever. Particle accelerator testing has been the standard method to characterize the sensitivity of chips to single event upsets (SEUs). However, because of their costs and availability limitations, other techniques have been explored. Pulsed laser has been a successful tool for characterization of SEU behavior, but to this day, laser has not been recognized as a comparable method to beam …


Lithography Hotspot Detection, Jea Woo Park Jul 2017

Lithography Hotspot Detection, Jea Woo Park

Dissertations and Theses

The lithography process for chip manufacturing has been playing a critical role in keeping Moor's law alive. Even though the wavelength used for the process is bigger than actual device feature size, which makes it difficult to transfer layout patterns from the mask to wafer, lithographers have developed a various technique such as Resolution Enhancement Techniques (RETs), Multi-patterning, and Optical Proximity Correction (OPC) to overcome the sub-wavelength lithography gap.

However, as feature size in chip design scales down further to a point where manufacturing constraints must be applied to early design phase before generating physical design layout. Design for Manufacturing …


Synthesis Of Linear Reversible Circuits And Exor-And-Based Circuits For Incompletely Specified Multi-Output Functions, Ben Schaeffer Jul 2017

Synthesis Of Linear Reversible Circuits And Exor-And-Based Circuits For Incompletely Specified Multi-Output Functions, Ben Schaeffer

Dissertations and Theses

At this time the synthesis of reversible circuits for quantum computing is an active area of research. In the most restrictive quantum computing models there are no ancilla lines and the quantum cost, or latency, of performing a reversible form of the AND gate, or Toffoli gate, increases exponentially with the number of input variables. In contrast, the quantum cost of performing any combination of reversible EXOR gates, or CNOT gates, on n input variables requires at most O(n2/log2n) gates. It was under these conditions that EXOR-AND-EXOR, or EPOE, synthesis was developed.

In this …


Impact Analysis Of Increased Dispatchable Resources On A Utility Feeder In Opendss, Crystal Eppinger Jul 2017

Impact Analysis Of Increased Dispatchable Resources On A Utility Feeder In Opendss, Crystal Eppinger

Dissertations and Theses

Oregon utilities are replacing their portfolios of traditional fossil fuel generation with renewable generating sources. Stepping away from carbon-producing energy will leave a deficit of on-demand power, resulting in decreased reliability. To overcome these technical challenges, utilities must maximize the use of their present dispatchable resources. One such resource is the Portland General Electric (PGE) Dispatchable Standby Generation Program (DSG), which is an aggregated 105 MWs of distributed generation (DG). These resources are brought on-line when there is a critical need for power. Resources are added to the program if a transfer trip scheme is in place or a modeling …


Feedforward Chemical Neural Network: An In Silico Chemical System That Learns Xor, Drew Blount, Peter Banda, Christof Teuscher, Darko Stefanovic Jul 2017

Feedforward Chemical Neural Network: An In Silico Chemical System That Learns Xor, Drew Blount, Peter Banda, Christof Teuscher, Darko Stefanovic

Electrical and Computer Engineering Faculty Publications and Presentations

Inspired by natural biochemicals that perform complex information processing within living cells, we design and simulate a chemically implemented feedforward neural network, which learns by a novel chemical-reaction-based analogue of backpropagation. Our network is implemented in a simulated chemical system, where individual neurons are separated from each other by semipermeable cell-like membranes. Our compartmentalized, modular design allows a variety of network topologies to be constructed from the same building blocks. This brings us towards general-purpose, adaptive learning in chemico: wet machine learning in an embodied dynamical system.


Analysis And Testing Of A Coaxial Magnetic Gearbox With Flux Concentration Halbach Rotors, Debarupa Som, Kang Li, Joshua Kadel, Jason Wright, Sina Modaresahmadi, Jonathan Bird, W. William Jun 2017

Analysis And Testing Of A Coaxial Magnetic Gearbox With Flux Concentration Halbach Rotors, Debarupa Som, Kang Li, Joshua Kadel, Jason Wright, Sina Modaresahmadi, Jonathan Bird, W. William

Electrical and Computer Engineering Faculty Publications and Presentations

Halbach array magnetic gearboxes have been discussed as being able to create high torque density. However, Halbach arrays are difficult to mechanically assembly and often the effective air-gap must be made larger in order to provide space for a retaining sleeve. This paper investigates the benefits of using an additional ferromagnetic retaining pole within the Halbach array structure. It is shown that utilizing this flux concentration ferromagnetic pole improves the torque density and can also help retain the magnets in place.


Early Layout Design Exploration In Tsv-Based 3d Integrated Circuits, Mohammad Abrar Ahmed Jun 2017

Early Layout Design Exploration In Tsv-Based 3d Integrated Circuits, Mohammad Abrar Ahmed

Dissertations and Theses

Through silicon via (TSV) based 3D integrated circuits have inspired a novel design paradigm which explores the vertical dimension, in order to alleviate the performance and power limitations associated with long interconnects in 2D circuits. TSVs enable vertical interconnects across stacked and thinned dies in 3D-IC designs, resulting in reduced wirelength, footprint, faster speed, improved bandwidth, and lesser routing congestion. However, the usage of TSVs itself gives rise to many critical design challenges towards the minimization of chip delay and power consumption. Therefore, realization of the benefits of 3D ICs necessitates an early and realistic prediction of circuit performance during …


Improving Quality Of Patient Care Through Automated Nerve Segmentation, Madisen D. Phillips Jun 2017

Improving Quality Of Patient Care Through Automated Nerve Segmentation, Madisen D. Phillips

Undergraduate Research & Mentoring Program

A continuous peripheral nerve block cPNB is most commonly used in patients during the post-operative period, with documented benefits that include a decrease in reported pain, a decrease of opioid related side effects, and an increase in patient satisfaction. Accurately identifying nerve structures for cPNB placement is a critical step for proper insertion. The aim of this research is to use supervised learning techniques (least squares regression and Receiver Operating Characteristic (ROC) curve analysis) to build a model that can segment and annotate a bundle of nerves known as the brachial plexus (BP) while minimizing segmentation error. Dependent on large …


Generalized Differential Calculus And Applications To Optimization, R. Blake Rector Jun 2017

Generalized Differential Calculus And Applications To Optimization, R. Blake Rector

Dissertations and Theses

This thesis contains contributions in three areas: the theory of generalized calculus, numerical algorithms for operations research, and applications of optimization to problems in modern electric power systems. A geometric approach is used to advance the theory and tools used for studying generalized notions of derivatives for nonsmooth functions. These advances specifically pertain to methods for calculating subdifferentials and to expanding our understanding of a certain notion of derivative of set-valued maps, called the coderivative, in infinite dimensions. A strong understanding of the subdifferential is essential for numerical optimization algorithms, which are developed and applied to nonsmooth problems in operations …


Passive Bottom Reflection-Loss Estimation Using Ship Noise And A Vertical Line Array, Lanfranco Muzi, Martin Siderius, Christopher M. Verlinden Jun 2017

Passive Bottom Reflection-Loss Estimation Using Ship Noise And A Vertical Line Array, Lanfranco Muzi, Martin Siderius, Christopher M. Verlinden

Electrical and Computer Engineering Faculty Publications and Presentations

An existing technique for passive bottom-loss estimation from natural marine surface noise (generated by waves and wind) is adapted to use noise generated by ships. The original approach—based on beamforming of the noise field recorded by a vertical line array of hydrophones—is retained; however, additional processing is needed in order for the field generated by a passing ship to show features that are similar to those of the natural surface-noise field. A necessary requisite is that the ship position, relative to the array, varies over as wide a range of steering angles as possible, ideally passing directly over the array …


Evolution Of An Introductory Electrical Engineering And Programming Course, Branimir Pejcinovic, Phillip Wong Jun 2017

Evolution Of An Introductory Electrical Engineering And Programming Course, Branimir Pejcinovic, Phillip Wong

Electrical and Computer Engineering Faculty Publications and Presentations

Our first year electrical engineering sequence includes two courses that involve programming and hardware interfacing. ECE 102 deals with engineering problem solving and MATLAB, while ECE 103 introduces C programming. We use MATLAB both as a problem solving tool and as an introduction to programming. Students utilize MATLAB to control a data acquisition device, which enables more realistic team-based projects that combine problem-solving, programming, and interfacing. As is widely recognized, these types of courses are important and difficult to teach. We identified areas that needed improvement in ECE 102: a) outdated lecture format, b) not enough timely feedback, c) insufficient …


Extended Saleh Model For Behavioral Modeling Of Envelope Tracking Power Amplifiers, Haider Al Kanan, Fu Li, Felice Francesco Tafuri May 2017

Extended Saleh Model For Behavioral Modeling Of Envelope Tracking Power Amplifiers, Haider Al Kanan, Fu Li, Felice Francesco Tafuri

Student Research Symposium

Envelope Tracking (ET) is one of the most deployed efficiency enhancement techniques to improve efficiency of RF Power Amplifiers (PAs) in wireless communication. ET PA behavioral models are important to predict the impact of the nonlinear distortion, and memory effect of ET PA on the spectrum in wireless communication. ET PA linearization techniques can be designed based on the behavioral modeling.


Design And Test Of 3d Printed Lenses For Sub-Thz Radiation, Justin Patterson May 2017

Design And Test Of 3d Printed Lenses For Sub-Thz Radiation, Justin Patterson

Undergraduate Research & Mentoring Program

The terahertz gap in the electromagnetic spectrum provides promising advantages for applications such as increased airport security and medical diagnosis. Quasi-optical systems used to study THz radiation require multiple mirrors or lenses, which can be quite costly. In order to manipulate THz beams we investigated production of inexpensive lenses using additive 3D printing. 3D printing technology promises to be not only accessible and inexpensive, but should also enable quick experimentation with different lens designs. The Picometrix time-domain spectroscopy (TDS) system was used to characterize 3D printable plastics. The absorption coefficient and refractive index were analyzed from 0.2 to 2 THz …


Inertial And Time-Of-Arrival Ranging Sensor Fusion, Paul Vasilyeav, Sean Pearson, Mahmoud El-Gohary, Mateo Aboy, James Mcnames May 2017

Inertial And Time-Of-Arrival Ranging Sensor Fusion, Paul Vasilyeav, Sean Pearson, Mahmoud El-Gohary, Mateo Aboy, James Mcnames

Electrical and Computer Engineering Faculty Publications and Presentations

Wearable devices with embedded kinematic sensors including triaxial accelerometers, gyroscopes, and magnetometers are becoming widely used in applications for tracking human movement in domains that include sports, motion gaming, medicine, and wellness. The kinematic sensors can be used to estimate orientation, but can only estimate changes in position over short periods of time. We developed a prototype sensor that includes ultra wideband ranging sensors and kinematic sensors to determine the feasibility of fusing the two sensor technologies to estimate both orientation and position. We used a state space model and applied the unscented Kalman filter to fuse the sensor information. …


Electrodynamic Wheel Magnetic Rolling Resistance, Wei Qin, Jonathan Z. Bird Apr 2017

Electrodynamic Wheel Magnetic Rolling Resistance, Wei Qin, Jonathan Z. Bird

Electrical and Computer Engineering Faculty Publications and Presentations

In this paper the concept of magnetic rolling resistance (MRR) is introduced. The MRR is particularly useful when trying to characterize maglev devices that operate with a slip. Approaches to minimize the MRR for an electrodynamic wheel magnetic suspension device are discussed. MRR is calculated from the power losses and it is shown that by using MRR a direct performance comparison with existing modes of transportation can be made. The MRR for a number of different maglev designs is calculated.


An Ir And Rf Based System For Functional Gait Analysis In A Multi-Resident Smart-Home, Erich Reinhardt Schafermeyer Apr 2017

An Ir And Rf Based System For Functional Gait Analysis In A Multi-Resident Smart-Home, Erich Reinhardt Schafermeyer

Dissertations and Theses

Changes in the gait characteristics, such as walking speed and stride length, of a person living at home can be used to presage cognitive decline, predict fall potential, monitor long-term changes in cognitive impairment, test drug regimens, and more. This thesis presents a novel approach to gait analysis in a smart-home environment by leveraging new advances in inexpensive sensors and embedded systems to create novel solutions for in-home gait analysis. Using a simple, non-invasive hardware system consisting entirely of wall-mounted infrared and radio frequency sensor arrays, data is collected on the gait of subjects as they pass by. This data …


Fast And Accurate Sparse Coding Of Visual Stimuli With A Simple, Ultra-Low-Energy Spiking Architecture, Walt Woods, Christof Teuscher Apr 2017

Fast And Accurate Sparse Coding Of Visual Stimuli With A Simple, Ultra-Low-Energy Spiking Architecture, Walt Woods, Christof Teuscher

Electrical and Computer Engineering Faculty Publications and Presentations

Memristive crossbars have become a popular means for realizing unsupervised and supervised learning techniques. Often, to preserve mathematical rigor, the crossbar itself is separated from the neuron capacitors. In this work, we sought to simplify the design, removing extraneous components to consume significantly lower power at a minimal cost of accuracy. This work provides derivations for the design of such a network, named the Simple Spiking Locally Competitive Algorithm, or SSLCA, as well as CMOS designs and results on the CIFAR and MNIST datasets. Compared to a non-spiking model which scored 33% on CIFAR-10 with a single-layer classifier, this hardware …


Microwave Instrumentation And Sensing Techniques For Quantum Efficiency And Minority-Carrier Lifetime Measurements, Kyle Benjamin Lu Mar 2017

Microwave Instrumentation And Sensing Techniques For Quantum Efficiency And Minority-Carrier Lifetime Measurements, Kyle Benjamin Lu

Dissertations and Theses

A non-contact method characterizing the quantum efficiency of a solar cell using the microwave reflectance signature is presented in this thesis. Traditional solar cell quantum efficiency (QE) measurements are only possible near the completion of the fabrication process using contacts in direct physical connection with the metalized surface tabs to probe and extract charge carriers from the device. However, pressure within the solar metrology industry to report the spectral performance of the device earlier in the manufacturing process as part of the process control loop requires that a new non-contact method be developed. This thesis work contributes the development of …


Building Energy Model Calibration For Retrofit Decision Making, Nicolas R. Johnson Mar 2017

Building Energy Model Calibration For Retrofit Decision Making, Nicolas R. Johnson

Dissertations and Theses

Accommodating the continued increase in energy demand in the face of global climate change has been a worldwide concern. With buildings in the US consuming nearly 40% of national energy, a concerted effort must be given to reduce building energy consumption. As new buildings continue to improve their efficiency through more restrictive energy codes, the other 76.9 billion square feet of current building stock falls further behind. The rate at which current buildings are being retrofit is not enough and better tools are needed to access the benefits of retrofits and the uncertainties associated with them. This study proposes a …


Power-Aware Datacenter Networking And Optimization, Qing Yi Mar 2017

Power-Aware Datacenter Networking And Optimization, Qing Yi

Dissertations and Theses

Present-day datacenter networks (DCNs) are designed to achieve full bisection bandwidth in order to provide high network throughput and server agility. However, the average utilization of typical DCN infrastructure is below 10% for significant time intervals. As a result, energy is wasted during these periods. In this thesis we analyze traffic behavior of datacenter networks using traces as well as simulated models. Based on the insight developed, we present techniques to reduce energy waste by making energy use scale linearly with load. The solutions developed are analyzed via simulations, formal analysis, and prototyping. The impact of our work is significant …


A Timed Colored Petri Net Simulation-Based Self-Adaptive Collaboration Method For Production-Logistics Systems, Zhengang Guo, Yingfeng Zhang, Xibin Zhao, Xiaoyu Song Mar 2017

A Timed Colored Petri Net Simulation-Based Self-Adaptive Collaboration Method For Production-Logistics Systems, Zhengang Guo, Yingfeng Zhang, Xibin Zhao, Xiaoyu Song

Electrical and Computer Engineering Faculty Publications and Presentations

Complex and customized manufacturing requires a high level of collaboration between production and logistics in a flexible production system. With the widespread use of Internet of Things technology in manufacturing, a great amount of real-time and multi-source manufacturing data and logistics data is created, that can be used to perform production-logistics collaboration. To solve the aforementioned problems, this paper proposes a timed colored Petri net simulation-based self-adaptive collaboration method for Internet of Things-enabled production-logistics systems. The method combines the schedule of token sequences in the timed colored Petri net with real-time status of key production and logistics equipment. The key …


Quadded Gasp: A Fault Tolerant Asynchronous Design, Kristopher S. Scheiblauer Feb 2017

Quadded Gasp: A Fault Tolerant Asynchronous Design, Kristopher S. Scheiblauer

Dissertations and Theses

As device scaling continues, process variability and defect densities are becoming increasingly challenging for circuit designers to contend with. Variability reduces timing margins, making it difficult and time consuming to meet design specifications. Defects can cause degraded performance or incorrect operation resulting in circuit failure. Consequently test times are lengthened and production yields are reduced.

This work assess the combination of two concepts, self-timed asynchronous design and fault tolerance, as a possible solution to both variability and defects. Asynchronous design is not as sensitive to variability as synchronous, while fault tolerance allows continued functional operation in the presence of defects. …


Altruistic Punishment Can Help Resolve Tragedy Of The Commons Social Dilemmas, Garrison W. Greenwood Feb 2017

Altruistic Punishment Can Help Resolve Tragedy Of The Commons Social Dilemmas, Garrison W. Greenwood

Electrical and Computer Engineering Faculty Publications and Presentations

Social dilemmas force individuals to choose between cooperation, which benefits a group, and defection which benefits the individual. The unfortunate outcome in most social dilemmas is mutual defection where nobody benefits. Researchers frequently use mathematical games such as public goods games to help identify circumstances that might improve cooperation levels within a population. Altruistic punishment has shown promise in these games. Many real-world social dilemmas are expressed via a tragedy of the commons metaphor. This paper describes an investigation designed to see if altruistic punishment might work in tragedy of the commons social dilemmas. Simulation results indicate not only does …


Analysis Of A Magnetically Geared Lead Screw, Mojtaba Bahrami Kouhshahi, Jonathan Bird Feb 2017

Analysis Of A Magnetically Geared Lead Screw, Mojtaba Bahrami Kouhshahi, Jonathan Bird

Electrical and Computer Engineering Faculty Publications and Presentations

Linear magnetic gearboxes (LMG) and magnetic lead screws (MLS) have been shown to be capable of operating at significantly higher volumetric force densities than traditional electromagnetic linear actuators (ELA). However in both such devices the linear translator must be made of magnet material and therefore if the stroke length of the translator is long the cost of the MLS and LMG will become prohibitively high. In this paper a magnetically geared lead screw (MGLS) is investigated and its performance capability is compared with the LMG and MLS. The advantage of the MGLS is that the translator does not contain magnets.