Engineering Commons^™

Spatial Transferability Assessment Of A Composite Walkability Index: The Pedestrian Index Of The Environment (Pie), Gabriel Lefebvre-Ropars, Catherine Morency, Patrick A. Singleton, Kelly J. Clifton

Civil and Environmental Engineering Faculty Publications and Presentations

This paper analyzes the transferability of a composite walkability index, the Pedestrian Index of the Environment (PIE), to the Greater Montréal Area (GMA). The PIE was developed in Portland, Oregon, and is based on proprietary data. It combines six urban form variables into a score ranging from 20 to 100. The measure introduces several methodological refinements which have not been applied concurrently in previous efforts: a wide coverage of the different dimensions of the urban form, together with the use of a distance-based decay function and modelling-based weighing of the variables.

Knowledge Flows And Influence In Online Social Networks: Proposing A Research Agenda, Charles M. Weber, Nitin V. Mayande

Engineering and Technology Management Faculty Publications and Presentations

Online social networks, which have been defined as aggregated organizations that emerge from the Internet when people carry on public discussions, are increasingly becoming the vehicle of influence in social, political and economic discourse. Yet, despite its increasing importance, the nature of influence in online social networks is not really understood. Practitioners openly admit that they lack the experience to make sense of the phenomenon, and extant theory of influence in networks, which extrapolates from observations of the real world, is demonstrably inadequate when it comes to explaining influence online. The paper introduces a novel approach to analyzing influence online, …

Technology Readiness Levels Improving R&D Management: A Grounded Theory Analysis, Joao Ricardo Lavoie, Tugrul Unsal Daim

Engineering and Technology Management Faculty Publications and Presentations

The strategic management of an organization is well understood and there are several different frameworks and methodologies available to develop and implement strategies that will put the organization on the right track and make it more competitive. Nevertheless, the ability to manage technology and to assess and choose the right technologies to be used and to be invested in is not that well understood and developed. The technology readiness is important to be measured and managed, so that organizations have the chance to make better decisions on which technologies to rely on and when. Technology Readiness Levels (TRL) is a …

Improving The Effectiveness Of Fuzzy Front End Management: Expanding Stage-Gate Methodologies Through Agile, Aruna Bhatia, Juchun Cheng, Sadaf Salek, Vidhi Chokshi, Antonie J. Jetter

Engineering and Technology Management Faculty Publications and Presentations

More now than ever before, product development has become more challenging and complex with all the globalization around business today. Understanding the requirements of unfamiliar markets can be very challenging for organizations trying to speed-up their innovations. Also with the advent of globalization there is pressure on everyone to perform better and roll out new products in the market. The fuzzy front end process is very dynamic and unstructured process. By taking advantage of the key characteristics of Agile and Stage-Gate model, an Integrated Agile- Stage- Gate Hybrid model was developed which could help in improving the effectiveness of the …

Benchmarking Of Technology Roadmapping Process In Energy Sector: A Literature Review, Chih-Jen Yu, Tugrul Unsal Daim

Engineering and Technology Management Faculty Publications and Presentations

Technology roadmapping (TRM) has been recognized as an effective and flexible technology planning tool to assist company, industry, or nations to layout their strategic technology needs and align their vision and strategic objectives. Technology roadmap have been developed into various types and formats, by means of generic or customized processes, to suit specific organizational requirement in different industry settings such as energy sector. However, evaluating the effectiveness of roadmapping process remains a critical issue for roadmap updating and improvement. This paper proposes a benchmark approach based on a literature review to help develop a comparative model with required checklists.

Contextual Differentiation Of Absorptive Capacity: Empirical And Conceptual Development, Marina Dabic, Ernest Vlačić, Tugrul Unsal Daim

Engineering and Technology Management Faculty Publications and Presentations

This paper is focused on the research and operationalization of the absorption capacity in technology driven firms with a particular focus on their technology based innovation performances, which is widely recognised as a means of achieving and maintaining the firms' competitive advantage. Although research in the field of absorption capacity was globally initiated more than two and a half decades ago, the same was not at all the case with Eastern European firms. Considering that, the research objective of this paper arises: what is the level of the absorptive capacity in technology driven Croatian firms and how does it catalyse …

A Comparison Of Two Innovation Tools: Application On Smart Kitchen Design, Burcu Taşkın

Electrical and Computer Engineering Faculty Publications and Presentations

The process is one of the significant issues of companies in innovative product design. The designers and the management deal with producing high quality products with the creativity in a short-term period. The researchers developed techniques to solve that problem as TRIZ. The TRIZ-based techniques aim to recover the gaps of the creative innovation to solve specific problems of technical products and technologies. However, the traditional innovation techniques are still preferred for the design process. This study conducted a comparative research on outcomes regarding the process of two design groups. The assignment is given to ten design students to identify …

Monitoring And Anticipating The Convergence Of Lighting Control Strategies, Nina Chaichi, Tugrul Unsal Daim

Engineering and Technology Management Faculty Publications and Presentations

IPC co-classification in conjunction with cross impact analysis has been used to identify technology convergence and its strength over specific period of time. In this study, we tried to monitor the convergence of lighting control strategies which yields energy efficiency from 2009 to 2013. Also, we tried to anticipate the trend of impacts for near future. We take new approach to utilize detailed information including rate of change of co-classified patents, number of patents in each class, and convergence strength between two classes over time and build possible scenarios to anticipate the convergence trend. In our new approach, convergence strength …

Energy Efficiency Measures In Oregon Instructional School Facilities Implemented Under Sb 1149, And Improved Student Performance, Virginia Saraswati, Timothy Hulseman, John Bauer

Engineering and Technology Management Faculty Publications and Presentations

Energy generation, transmission, and distribution, requires a costly infrastructure to meet increasing demand. The success of energy efficiency measures (EEM's) are largely based on cumulative energy and cost savings. This research attempts to add improved student learning to the list of benefits when implementing EEM's in instructional school facilities. Our literature review of current research demonstrates that maximizing natural daylight in the design of school buildings reduces energy consumption, as well as improves student performance [1]. Additionally, EEM's can benefit student performance through direct and indirect environmental improvements that enhance usability, productivity, and comfort [2]. Through statistical analysis of data …

Video Frame Interpolation Via Adaptive Separable Convolution, Simon Niklaus, Long Mai, Feng Liu

Computer Science Faculty Publications and Presentations

Standard video frame interpolation methods first estimate optical flow between input frames and then synthesize an intermediate frame guided by motion. Recent approaches merge these two steps into a single convolution process by convolving input frames with spatially adaptive kernels that account for motion and re-sampling simultaneously. These methods require large kernels to handle large motion, which limits the number of pixels whose kernels can be estimated at once due to the large memory demand. To address this problem, this paper formulates frame interpolation as local separable convolution over input frames using pairs of 1D kernels. Compared to regular 2D …

Ensemble Machine Learning And Forecasting Can Achieve 99% Uptime For Rural Handpumps, Daniel L. Wilson, Jeremy R. Coyle, Evan A. Thomas

Mechanical and Materials Engineering Faculty Publications and Presentations

Broken water pumps continue to impede efforts to deliver clean and economically-viable water to the global poor. The literature has demonstrated that customers’ health benefits and willingness to pay for clean water are best realized when clean water infrastructure performs extremely well (>99% uptime). In this paper, we used sensor data from 42 Afridev-brand handpumps observed for 14 months in western Kenya to demonstrate how sensors and supervised ensemble machine learning could be used to increase total fleet uptime from a best-practices baseline of about 70% to >99%. We accomplish this increase in uptime by forecasting pump failures and …

Tidal Variability Related To Sea Level Variability In The Pacific Ocean, Adam Thomas Devlin, David A. Jay, Edward Zaron, Stefan A. Talke, Jiayi Pan, Hui Lin

Civil and Environmental Engineering Faculty Publications and Presentations

Ocean tides are changing worldwide for reasons unrelated to astronomical forcing. Changes in tidal properties coupled with altered mean sea level (MSL) may yield higher peak water levels and increased occurrence of short-term exceedance events, such as storm surge and nuisance flooding. Here we investigate the hypothesis that changes in relative sea level are correlated with alterations in tidal amplitudes. Our approach focuses on the correlation between short-term (monthly to interannual) fluctuations in sea level with changes in tidal properties of major ocean tides (M₂, and K₁; S₂ and O₁) at 152 gauges. …

Evaluation Of Roadway Reallocation Projects: Analysis Of Before-And-After Travel Speeds And Congestion Utilizing High-Resolution Bus Transit Data, Miguel A. Figliozzi, Travis B. Glick

TREC Final Reports

The traditional process of identifying corridors for road diet improvements involves selecting potential corridors (mostly based on identifying fourlane roads) and conducting a traffic impact analysis of proposed changes on a selected roadway before implementing changes. The evaluation of roadway reallocation projects should include the analysis of traffic volumes, level of service, speeds, queue lengths and bus operations. There are tools and equipment to evaluate effectively traffic volumes and level of service changes in before-and-after studies. However, the detailed evaluation of speed and queue length distributions along a segment are significantly more cumbersome. In addition, the exhaustive evaluation of bus …

Evaluation Of Roadway Reallocation Projects, Miguel Figliozzi

TREC Project Briefs

This NITC study offers a new methodology for evaluating the before-and-after effects of roadway space reallocation projects.

Fast On-Line Kernel Density Estimation For Active Object Localization, Anthony D. Rhodes, Max H. Quinn, Melanie Mitchell

Computer Science Faculty Publications and Presentations

A major goal of computer vision is to enable computers to interpret visual situations—abstract concepts (e.g., “a person walking a dog,” “a crowd waiting for a bus,” “a picnic”) whose image instantiations are linked more by their common spatial and semantic structure than by low-level visual similarity. In this paper, we propose a novel method for prior learning and active object localization for this kind of knowledge-driven search in static images. In our system, prior situation knowledge is captured by a set of flexible, kernel-based density estimations— a situation model—that represent the expected spatial structure of the given situation. These …

An Analysis Of The Optimal Mix Of Global Energy Resources And The Potential Need For Geoengineering Using The Ceagom Model, John George Anasis, M. A. K. Khalil, George G. Lendaris, Christopher L. Butenhoff, Randall Bluffstone

Systems Science Faculty Publications and Presentations

Humanity faces tremendous challenges as a result of anthropogenic climate change caused by greenhouse gas emissions. The mix of resources deployed in order to meet the energy needs of a growing global population is key to addressing the climate change issue. The goal of this research is to examine the optimal mix of energy resources that should be deployed to meet a forecast global energy demand while still meeting desired climate targets. The research includes the unique feature of examining the role that geoengineering can play in this optimization. The results show that some form of geoengineering is likely to …

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

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 …

Optimizing Student Workforce Scheduling At Psu Office Of Information Technology (Oit), Agam Ebramsyah, Aishwarya Joy, Cody Miller, Jake Stevens, Priyanka Patil

Engineering and Technology Management Student Projects

A significant challenge for businesses of any size, is generating a work schedule that ensures adequate personnel coverage to ensure all aspects of the business are properly staffed, while preventing waste produced from having an excess number of employees working at a given time. The decision to manually create spreadsheets and work schedules that take into account availability, staffing requirements, and cost efficiency can become overwhelming and labor intensive. For Portland State University's Office of Information Technology (OIT), there is a significant challenge in scheduling student workers, while ensuring staffing requirements are met, student work hour restrictions are observed, and …

Organics To You - Optimization Of Produce Bins, Rassaniya Lerdphayakkarat, Chuan Chieh Lu, Jon Roschke, Juliana Suzuki, Jessie Truong

Engineering and Technology Management Student Projects

Organics to You (www.organicstoyou.org ) is a produce delivery company that focuses on bringing organic local food from local farms straight to the homes, schools, and businesses of its clients. Each week a "Small Bin" is created using different varieties of local produce from various farms. Customers receive a bin that contains 12-14 varieties of produce with 2-6 "servings" of each variety (e.g., 1 melon, 4 apples, 1 head of lettuce, 2 lbs potatoes, etc).

Our objective is to optimize the contents of the “Small Bin”. The decision we want to make is how much of each variety do …

Eulerian-Based Virtual Visual Sensors To Measure Dynamic Displacements Of Structures, Ali Shariati, Thomas Schumacher

Civil and Environmental Engineering Faculty Publications and Presentations

Vibration measurements provide useful information about a structural system's dynamic characteristics and are used in many fields of science and engineering. Here, we present an alternative noncontact approach to measure dynamic displacements of structural systems using digital videos. The concept is that intensity measured at a pixel with a fixed (or Eulerian) coordinate in a digital video can be regarded as a virtual visual sensor. The pixels in the vicinity of the boundary of a vibrating structural element contain useful frequency information, which we have been able to demonstrate in earlier studies. Our ultimate goal, however, is to be able …

Drones For Commercial Last-Mile Deliveries: A Discussion Of Logistical, Environmental, And Economic Trade-Offs, Miguel Figliozzi

Civil and Environmental Engineering Faculty Publications and Presentations

There are no studies that model the potential effectiveness of Unmanned Aerial Vehicles (UAVs) or drones to reduce CO₂e lifecycle (including both utilization and vehicle phase) emissions when compared to conventional diesel vans, electric trucks, electric vans, and tricycles. This study presents a novel analysis of lifecycle UAV and ground commercial vehicles CO₂e emissions.

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 …

Topographic And Frictional Controls On Tides In The Sea Of Okhotsk, Edward Zaron

Civil and Environmental Engineering Faculty Publications and Presentations

The sensitivity of barotropic tides to bottom topography and frictional parameters has been studied in a model for the Sea of Okhotsk. This region was chosen because of the paucity of bathymetry data and the possibility of using satellite altimeter data to better identify the bottom topography using variational inverse methods. The sensitivity was studied using both the direct and adjoint sensitivity. In the former approach, perturbations to the nominal model were applied to examine their impact; in the latter approach, the sensitivities were computed using the adjoint of the tangent linearization of the dynamical model. It is found that …

Archival Water-Level Measurements: Recovering Historical Data To Help Design For The Future, Stefan A. Talke, David A. Jay

Civil and Environmental Engineering Faculty Publications and Presentations

Improving methods of assessing risk and designing structures to withstand extreme events and changing sea levels is a vital component of strategies for reducing risk to coastal resources and assets. An obvious approach to improving the statistical robustness of risk assessments is to increase the number, time span, and quality of available water-level data sets, and to assess trends and non-stationarity. In this report we discuss efforts to recover, digitize, and analyze hundreds of station-years of lost-and-forgotten tide data and other water-level measurements that extend back to the early 19th century. To date, more than 6,500 station-years of previously lost …

Building Intelligence In The Automated Traffic Signal Performance Measures With Advanced Data Analytics, Tingting Huang, Subhadipto Poddar, Chris Aguilar, Anuj Sharma, Edward J. Smaglik, Sirisha Kothuri, Peter Koonce

Civil and Environmental Engineering Faculty Publications and Presentations

Automated traffic signal performance measures (ATSPMs) are an effort to equip traffic signal controllers with high-resolution data-logging capabilities and utilize this data to generate performance measures. These measures allow practitioners to improve operations as well as to maintain and operate their systems in a safe and efficient manner. Although these measures have changed the way that operators manage their systems, several shortcomings of the tool, identified by talking with signal operators, are a lack of data quality control and the extent of resources required to properly use the tool for system-wide management. To address these shortcomings, intelligent traffic signal performance …

Lifetime Reliability-Based Optimization Of Post-Tensioned Box-Girder Bridges, Tatiana García-Segura, Victor Yepes, Dan M. Frangopol, David Y. Yang

Civil and Environmental Engineering Faculty Publications and Presentations

This paper presents a lifetime reliability-based approach for the optimization of post-tensioned concrete box-girder bridges under corrosion attack. The proposed approach is illustrated by determining the optimal life-cycle cost and CO2 emissions of several initial designs of post-tensioned box-girder bridges with different objectives, i.e. the lowest initial costs, the longest corrosion initiation time, or the maximum safety. The study was conducted in two steps. Firstly, the Pareto set presents initial designs considering the cross-section geometry, the concrete strength, the reinforcing steel and the prestressing steel. Secondly, the maintenance optimization was conducted with the proposed method, aimed at minimizing the economic, …

A Functional Subnetwork Approach To Designing Synthetic Nervous Systems That Control Legged Robot Locomotion, Nicholas Szczecinski, Alexander J. Hunt, Roger Quinn

Mechanical and Materials Engineering Faculty Publications and Presentations

A dynamical model of an animal’s nervous system, or synthetic nervous system (SNS), is a potentially transformational control method. Due to increasingly detailed data on the connectivity and dynamics of both mammalian and insect nervous systems, controlling a legged robot with an SNS is largely a problem of parameter tuning. Our approach to this problem is to design functional subnetworks that perform specific operations, and then assemble them into larger models of the nervous system. In this paper, we present networks that perform addition, subtraction, multiplication, division, differentiation, and integration of incoming signals. Parameters are set within each subnetwork to …

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.

Time Varying Parameter Models For Catchments With Land Use Change: The Importance Of Model Structure, Sahani Pathiraja, Daniela Anghileri, Paolo Burlando, Ashish Sharma, Lucy Marshall, Hamid Moradkhani

Civil and Environmental Engineering Faculty Publications and Presentations

Rapid population and economic growth in South-East-Asia has been accompanied by extensive land use change with consequent impacts on catchment hydrology. Modelling methodologies capable of handling changing land use conditions are therefore becoming ever more important, and are receiving increasing attention from hydrologists. A recently developed Data Assimilation based framework that allows model parameters to vary through time in response to signals of change in observations is considered for a medium sized catchment (2880 km²) in Northern Vietnam experiencing substantial but gradual land cover change. We investigate the efficacy of the method as well as the importance of the chosen …