Engineering Commons^™

Evaluation Of The Performance Of The Sydney Coordinated Adaptive Traffic System (Scats) On Powell Boulevard In Portland, Or, Miguel A. Figliozzi, Christopher Monsere

Civil and Environmental Engineering Faculty Publications and Presentations

The Sydney Coordinated Adaptive Traffic System (SCATS) is used to mitigate traffic congestion along urban arterial corridors. Although there has been research on SCATS' performance, this report combines three different areas of research about SCATS that are not known to be represented in any research literature. These include: (a) the relationship between SCATS, traffic volumes, and Transit Signal Priority (TSP); (b) between TSP and traffic conditions; and (c) the correlation between signal timing and air quality; in particular, human exposure to the air pollutant PM2.5 at intersections. In addition, this research looked at the key factors affecting transit user exposure …

Computer Aided Design Of Permutation, Linear, And Affine-Linear Reversible Circuits In The General And Linear Nearest-Neighbor Models, Ben Schaeffer

Dissertations and Theses

With the probable end of Moore's Law in the near future, and with advances in nanotechnology, new forms of computing are likely to become available. Reversible computing is one of these possible future technologies, and it employs reversible circuits. Reversible circuits in a classical form have the potential for lower power consumption than existing technology, and in a quantum form permit new types of encryption and computation.

One fundamental challenge in synthesizing the most general type of reversible circuit is that the storage space for fully specifying input-output descriptions becomes exponentially large as the number of inputs increases linearly. Certain …

Understanding Travel Modes To Non-Work Destinations: Analysis Of An Establishment Survey In Portland, Oregon, Christopher D. Muhs

Dissertations and Theses

During the past three decades, research in travel behavior has generally proceeded from broad-level, aggregate analysis of mode share--the proportions of walking, bicycling, transit, and vehicle travel occurring in traffic analysis zones, census tracts, neighborhood, or other geographical units--to fine-grained, disaggregate analysis of mode choices and other trip-making attributes at the individual level. One potential issue is whether there are differences in the types of conclusions drawn from results of analyses performed at these different levels, as these results directly inform transportation planning and policy.

This thesis aims in part to confirm whether the types of conclusions drawn from different …

Automated Channel Assessment For Single Chip Medradio Transceivers, Mark Alexander Hillig

Dissertations and Theses

Modern implantable and body worn medical devices leverage wireless telemetry to improve patient experience and expand therapeutic options. Wireless medical devices are subject to a unique set of regulations in which monitoring of the available frequency spectrum is a requirement. To this end, implants use software protocols to assess the in-band activity to determine which channel should be used. These software protocols take valuable processing time and possibly degrade the operational lifetime of the battery. Implantable medical devices often take advantage of a single chip transceiver as the physical layer for wireless communications. Embedding the channel assessment task in the …

Data Driven Feed Forward Adaptive Testing, Chaitrali Santosh Chandorkar

Dissertations and Theses

Test cost is a critical component in the overall cost of the product. Test cost varies in direct proportion with test time. This thesis introduces a data driven feed forward adaptive technique for reducing test time at wafer sort while maintaining the product defect level. Test data from first insertion of wafer is statistically analyzed to make a decision about adaptive test flow at subsequent insertions.

The data driven feed forward technique uses a statistical screen to analyze test data from first probe of wafer and provides recommendations for test elimination at second insertions. At the second insertion dies are …

Equivalence Checking For High-Assurance Behavioral Synthesis, Kecheng Hao

Dissertations and Theses

The rapidly increasing complexities of hardware designs are forcing design methodologies and tools to move to the Electronic System Level (ESL), a higher abstraction level with better productivity than the state-of-the-art Register Transfer Level (RTL). Behavioral synthesis, which automatically synthesizes ESL behavioral specifications to RTL implementations, plays a central role in this transition. However, since behavioral synthesis is a complex and error-prone translation process, the lack of designers' confidence in its correctness becomes a major barrier to its wide adoption. Therefore, techniques for establishing equivalence between an ESL specification and its synthesized RTL implementation are critical to bring behavioral synthesis …

Strategic Evaluation Of University Knowledge And Technology Transfer Effectiveness, Thien Anh Tran

Dissertations and Theses

Academic knowledge and technology transfer has been growing in importance both in academic research and practice. A critical question in managing this activity is how to evaluate its effectiveness. The literature shows an increasing number of studies done to address this question; however, it also reveals important gaps that need more research. One novel approach is to evaluate the effectiveness of this activity from an organizational point of view, which is to measure how much knowledge and technology transfer from a university fulfills the mission of the institution. This research develops a Hierarchical Decision Model (HDM) to measure the contribution …

An Investigation Of Fast And Frugal Heuristics For New Product Project Selection, Fatima Mohammed Albar

Dissertations and Theses

In the early stages of new product development, project selection is dominantly based on managerial intuition, rather than on analytic approaches. As much as 90% of all product ideas are rejected before they are formally assessed. However, to date, little is known about the product screening heuristics and screening criteria managers use: it has been suggested that their decision process resembles the "fast and frugal" heuristics identified in recent psychological research, but no empirical research exists. A major part of the product innovation pipeline is thus poorly understood.

This research contributes to closing this gap. It uses cognitive task analysis …

The Impact Of Knowledge Inflows On The Performance Of National Laboratories In Technological Latecomer Countries, Pattravadee Ploykitikoon

Dissertations and Theses

The national laboratories (NLs) play a critical role in the economic and social development of technological latecomer countries, yet no academic study has ever quantified how knowledge inflows and internal knowledge impact the performance of the NLs. This dissertation identifies and ranks the importance of factors pertaining to knowledge inflows and project-internal knowledge, which determine the success or failure of research projects in the NLs of Thailand. A survey of 123 project managers in the NLs, which covers 208 R&D projects, has been conducted. It consists of a questionnaire and unstructured interviews in which the project managers discuss their project(s). …

Climate Change Impact On The Spatio-Temporal Variability Of Hydro-Climate Extremes, Mohammad Reza Najafi

Dissertations and Theses

The rising temperature of the earth due to climate change has shown to alter the variations of hydro-climate variables, including their intensities, frequencies and durations. Extreme events such as floods are, in particular, susceptible to any disturbances in climate cycles. As such it is important to provide policymakers with sufficient knowledge about the probable impacts of climate change on hydrologic extremes and most importantly on floods, which have the highest impacts on the societies. For this reason analysis of hydro-climate extremes is commonly performed using data at each site (or grid cell), however due to the limited number of extreme …

Localization Of A Noisy Broadband Surface Target Using Time Differences Of Multipath Arrivals, John Gebbie, Martin Siderius, Reid Mccargar, John S. Allen Iii, Grant Pusey

Electrical and Computer Engineering Faculty Publications and Presentations

Previous studies [Tiemann et al., J. Acoust. Soc. Am. 120, 2355–2365 (2006)] have reported the localization of marine mammals in 3-D from their clicks using multipath arrivals. Bathymetric variations were advantageously used to predict multipath arrival times with a raytracer. These arrivals are directly discernible from the time series for impulsive sources, such as whale clicks, but extension of the method to continuous broadband sources presents additional complications. By pulse compressing noise emitted from a small boat using two hydrophones,the hyperbolic direct-arrival ambiguity can be refined in both range and bearing. Acoustic-derived results are validated with target GPS measurements.

Application Of Active Learning In Microwave Circuit Design Courses, Branimir Pejcinovic

Electrical and Computer Engineering Faculty Publications and Presentations

Application of active learning in microwave circuit design courses. We have recently expanded our undergraduate labs to include four 20 GHz VNA-s and four high-speed TDR oscilloscopes. They were obtained initially for junior electromagnetics labs but this opens up obvious opportunities for more hands-on approaches to teaching and learning microwave circuit design. We have redesigned our two quarter, senior-level sequence with these goals in mind: a) Emphasize complete design cycle, from "paper" development, to simulation, to prototype development and testing, followed by more advanced prototyping, testing and redesign. b) De-emphasize face-to-face lecture and emphasize in-class activities and peer interaction c) …

Methods For Efficient Synthesis Of Large Reversible Binary And Ternary Quantum Circuits And Applications Of Linear Nearest Neighbor Model, Maher Mofeid Hawash

Dissertations and Theses

This dissertation describes the development of automated synthesis algorithms that construct reversible quantum circuits for reversible functions with large number of variables. Specifically, the research area is focused on reversible, permutative and fully specified binary and ternary specifications and the applicability of the resulting circuit to the physical limitations of existing quantum technologies.

Automated synthesis of arbitrary reversible specifications is an NP hard, multiobjective optimization problem, where 1) the amount of time and computational resources required to synthesize the specification, 2) the number of primitive quantum gates in the resulting circuit (quantum cost), and 3) the number of ancillary qubits …

Developing A Strategic Policy Choice Framework For Technological Innovation: Case Of Chinese Pharmaceuticals, Leong Chan

Dissertations and Theses

With the growing trend of globalization and rapid development of high technologies, emerging economies face more challenges in technology development because they are chasing a fast-moving frontier. They need to identify global technology trends and adapt to local needs and capabilities. Strategies for technology development differ among countries at different developmental stages.

In this research, a technology policy choice framework is developed to link prospective high-tech areas, technology development strategies, and various innovative resources. The research approach is to develop a hierarchical decision model (HDM) and apply the analytic hierarchical process (AHP). Experts are invited from diverse sources to provide …

Innovation Measurement: A Decision Framework To Determine Innovativeness Of A Company, Kenny Phan

Dissertations and Theses

Innovation is one of the most important sources of competitive advantage. It helps a company to fuel the growth of new products and services, sustain incumbents, create new markets, transform industries, and promote the global competitiveness of nations. Because of its importance, companies need to manage innovation. It is very important for a company to be able to measure its innovativeness because one cannot effectively manage without measurement. A good measurement model will help a company to understand its current capability and identify areas that need improvement.

In this research a systematic approach was developed for a company to measure …

Nonlinearity Analysis And Predistortion Of 4g Wireless Communication Systems, Xiao Li

Dissertations and Theses

The nonlinearity of RF power amplifiers (PA) is one of critical concerns for RF designers because it causes spectral regrowth related to in-band and out-of-band spurious emissions control in communication standards. Traditionally, RF power amplifiers must be backed off considerably from the peak of their power level in order to prevent spectral regrowth. The digital predistortion (DPD) technique is being widely used for compensation of the nonlinearity of RF power amplifiers, as the high power efficiency becomes increasely important in wireless communication systems.

However, the latest generations of communication systems, such as Wi-Fi, WiMAX, and LTE, using wider bandwidth have …

The Impact Of Social Capital On Innovation Intermediaries, Songphon Munkongsujarit

Dissertations and Theses

In today's open business environments, innovation happens in globally dispersed organizations that exchange technological knowledge across increasingly permeable boundaries. Innovation intermediaries play an important role in these technology transfer processes. They operate as middle-men between solution seekers (companies seeking technological knowledge for solving their problems) and problem solvers (experts with specialized knowledge and solutions) and thus help to connect suppliers and customers of technological knowledge. Currently, clients that select an intermediary organization and managers of intermediary organizations that assign agents to a project have very little guidance as to what type of an intermediary they should select to guarantee that …

Extending Technology Roadmap Through Fuzzy Cognitive Map-Based Scenarios: The Case Of The Wind Energy Sector Of Pakistan, Muhammad Amer

Dissertations and Theses

In this modern era, energy is a key element required for sustainable development and prosperity of a society. Pakistan is an energy deficient country facing problems due to the shortage of over 4000 MW of electricity. The national energy sector is heavily dependent on imported fossil-fuel resources. The energy crisis is negatively affecting all economic and business activities, and it is widely recognized as a severe obstacle to growth and poverty reduction in the country. Establishment of wind farms can help to overcome the energy crisis.

In this research, a national level wind energy roadmap is developed through scenario planning. …

Computational Capabilities Of Leaky Integrate-And-Fire Neural Networks For Liquid State Machines, Amin Almassian, Christof Teuscher

Student Research Symposium

We analyze the computational capability of Leaky Integrate-and-Fire (LIF) Neural Networks used as a reservoir (liquid) in the framework of Liquid State Machines (LSM). Maass et. al. investigated LIF neurons in LSM and their results showed that they are capable of noise-robust, parallel, and real-time computation. However, it still remains an open question how the network topology affects the computational capability of a reservoir. To address that question, we investigate the performance of the reservoir as a function of the average reservoir connectivity. We also show that the dynamics of the LIF reservoir is sensitive to changes in the average …

Designing A Low Cost Prosthetic Arm Device, Samira Rezaei, Frank Fields, Tamara J. Depue

Student Research Symposium

The goal of the project is to build a functional low-cost prosthetic arm that is easily maintained. The focus is on prostheses that attach to the forearm. This design must perform daily life tasks such as picking up, holding and carrying objects while playing and working. To begin the design, a mechanical finger was built with wooden tongue depressors as bone material; rubber bands, string, and drinking straws as muscle material; and masking tape as ligament and tendon material. The length of each joint was set to the golden ratio. Using this method, a basic "hand" was created that could …

Energy And Climate Interactions In The Urban Environment, David J. Sailor

Mechanical and Materials Engineering Faculty Publications and Presentations

This presentation focuses on sustainable design choices and characteristics

Assessment Of Solar Photovoltaic Technologies Using Multiple Perspectives And Hierarchical Decision Modeling, Nasir Jamil Sheikh

Dissertations and Theses

The objective of this research is to build a decision model for a comprehensive assessment of solar photovoltaic technologies using multiple perspectives. These perspectives include: social, technological, economic, environmental, and political (STEEP) with each perspective consisting of multiple criteria. Hierarchical decision modeling and expert judgment quantification are used to provide the relative ranking of the perspectives and criteria. Such modeling is effective in addressing technology evaluations with competing and contrasting perspectives and criteria where both quantitative and qualitative measurements are represented. The model is then operationalized by constructing desirability functions for each criterion. The combined results provide an overall numerical …

Development, Deployment, And Assessment Of A New Educational Paradigm For Transportation Professionals And University Students, Christopher M. Monsere

TREC Final Reports

Traditionally, engineering coursework has been delivered in a lecture-based format with accompanying exercises assigned for time outside of class. The activity-based approach to learning aims to keep students engaged in and responsible for their own learning processes. This approach has been shown to be more effective than conventional teaching approaches in terms of long-term retention of the educational material.

Reducing Seismic Risk To Highway Mobility: Assessment And Design Examples For Pile Foundations Affected By Lateral Spreading, Scott A. Ashford, Michael H. Scott, Deepak Rayamajhi

TREC Final Reports

Damage in pile supported structures due to liquefaction and liquefaction induced deformation were reported in past earthquakes around the world (e.g., Ansal et al. 1999; Seed et al. 1990; EERI 2010, EERI 2011; GEER 2010a, GEER 2010b, GEER 2011). For example, a reconnaissance report from a recent subduction zone event, the 2010 Chile earthquake (Mw=8.8), showed the pervasive nature of liquefaction and liquefaction-induced lateral spreading damage to bridge foundations (GEER 2010a, Yen et al. 2011). In terms of seismic hazard, the Pacific Northwest shares similar conditions from a Cascadia Subduction Zone (CSZ) earthquake source with the expected earthquake magnitude of …

Reward-Driven Training Of Random Boolean Network Reservoirs For Model-Free Environments, Padmashri Gargesa

Dissertations and Theses

Reservoir Computing (RC) is an emerging machine learning paradigm where a fixed kernel, built from a randomly connected "reservoir" with sufficiently rich dynamics, is capable of expanding the problem space in a non-linear fashion to a higher dimensional feature space. These features can then be interpreted by a linear readout layer that is trained by a gradient descent method. In comparison to traditional neural networks, only the output layer needs to be trained, which leads to a significant computational advantage. In addition, the short term memory of the reservoir dynamics has the ability to transform a complex temporal input state …

An Fpga Implementation Of A High Performance Aer Packet Network, Sirish Kumar Munipalli

Dissertations and Theses

This thesis presents a design to route the spikes in a cognitive computing project called Systems of Neuromorphic Adaptive Plastic Scalable Electronics (SyNAPSE). SyNAPSE is a DARPA-funded program to develop electronic neuromorphic ma- chine technology that scales to biological levels. The basic computational block in the SyNAPSE system is the asynchronous spike processor (ASP) chip. This analog core contains the neurons and synapses in a neural fabric and performs the neural and synaptic computations.An ASP takes asynchronous pulses (spikes) as inputs and after some small delay produces asyn- chronous pulses as outputs.The ASP chips are organized in a nxn (where …

Definition And Properties Of Alternative Bus Service Reliability Measures At The Stop Level, Meead Saberi, Ali K. Zockaie, Wei Feng, Ahmed El-Geneidy

Civil and Environmental Engineering Faculty Publications and Presentations

The Transit Capacity and Quality of Service Manual (TCQSM) provides transit agencies with tools for measuring system performance at different levels of operation. Bus service reliability, one of the key performance measures, has become a major concern of both transit operators and users because it significantly affects user experience and service quality perceptions. The objective of this paper is to assess the existing reliability measures proposed by TCQSM and develop new ones at the bus stop level. The latter are not suggested as replacements for the existing measures; rather, they are complementary. Using empirical data from archived Bus Dispatch System …

Depth-Based Signal Separation With Vertical Line Arrays In The Deep Ocean, Reid Mccargar, Lisa M. Zurk

Electrical and Computer Engineering Faculty Publications and Presentations

Deep vertical line arrays can exploit the reliable acoustic path (RAP), which provides low transmission loss (TL) for targets at moderate ranges, and increased TL for distant interferers. However, nearby surface interference also has favorable RAP propagation and cannot be separated from a submerged target without horizontal aperture. In this work, a physics-based Fourier transform variant is introduced, which achieves depth-based signal separation by exploiting the spatial structure resulting from the coherent addition of the direct and surface-reflected propagation paths present for submerged sources. Simulation results demonstrate depth-based signal separation without requiring knowledge of the ocean environment.

A Survey Of Systems For Predicting Stock Market Movements, Combining Market Indicators And Machine Learning Classifiers, Jeffrey Allan Caley

Dissertations and Theses

In this work, we propose and investigate a series of methods to predict stock market movements. These methods use stock market technical and macroeconomic indicators as inputs into different machine learning classifiers. The objective is to survey existing domain knowledge, and combine multiple techniques into one method to predict daily market movements for stocks. Approaches using nearest neighbor classification, support vector machine classification, K-means classification, principal component analysis and genetic algorithms for feature reduction and redefining the classification rule were explored. Ten stocks, 9 companies and 1 index, were used to evaluate each iteration of the trading method. The classification …

Helping Bridges Withstand Hurricane Waves, Daniel Cox

TREC Project Briefs

A large-scale laboratory model helps researchers determine horizontal and vertical wave forces on a highway bridge superstructure.