Index Catalog // ScholarsArchive@OSU

Teacher perceptions of training and pedagogical value of cross-reality and sensor data from smart buildings

Creator:: Rowe, Shawn, Riggio, Mariapaola, De Amicis, Raffaele, and Rowe, Susan R.
Abstract:: This paper discusses elementary, and secondary (K-12) teachers’ perceptions of cross-reality (XR) tools for data visualization and use of sensor data from the built environment in classroom curricula. Our objective was to explore the use of sensor-informed XR in the built environment and civil engineering (BECE) field to support K-12...
Resource Type:: Article
Full Text:: Science and Engineering, Oregon State University, Corvallis, OR 97331, USA 3 School of Electrical

Evaluating the Effects of Multiple Environmental Stressors on the Gulf of Alaska Pacific Cod Fishery Using a Dynamic Stress-Scape Framework

Creator:: Blaisdell, Josiah
Abstract:: The Gulf of Alaska (GOA) is home to the most productive fisheries in the world. In 2019, 2.2 million metric tons of fish were shipped from Alaska to destinations all over the world (NOAA Fisheries, 2019). From 2014-2016 and, more recently, in 2019 the largest heatwaves in recorded history caused...
Resource Type:: Masters Thesis
Full Text:: submitted to Oregon State University in partial fulfillment of the requirements for the degree of

Wirelessly Powered cm-Scale Sensor for Small Insect Localization Application

Creator:: Kang, Jian
Abstract:: The prevalence of Internet-of-Things (IoT) applications leads to an increasing focus on the design and optimization of sensor nodes. Battery lifetime and associated costs of battery replacement often limits the long term operation and viability of sensor nodes. RF wireless energy harvesting on the other hand can be appealing since...
Resource Type:: Dissertation
Full Text:: will become part of the permanent collection of Oregon State University libraries. My signature below

SIMstat: Wireless, Highly-Reconfigurable Electrochemical Analog Front-End for Point-of-Care Diagnostics and Continuous Monitoring

Creator:: Cook, Jacob M.
Abstract:: Within the past decade, the continued-scaling of CMOS processes and improvements in industry mixed-signal integrated-circuit designs have enabled a rapid decrease in the cost, form-factor, and power for point-of-care diagnostics and electrochemical instrumentation. Similarly, advances in low-power RF designs have prompted entire System-on-Modules supporting widely varied Internet-of-Things (IoT) applications. The...
Resource Type:: Masters Thesis
Full Text:: THESIS submitted to Oregon State University in partial fulfillment of the requirements for the degree

An empirical comparison of mutant selection approaches

Creator:: Gopinath, Rahul, Alipour, Amin, Ahmed, Iftekhar, Jensen, Carlos, and Groce, Alex
Abstract:: Mutation analysis is a well-known method for measuring the quality of test suites. However, it is computationally intensive compared to other measures, which makes it hard to use in practice. Choosing a smaller subset of mutations to run is a simple approach that can alleviate this problem. Mutation operator selection...
Resource Type:: Technical Report
Full Text:: Empirical Comparison of Mutant Selection Approaches Rahul Gopinath Oregon State University gopinath

Mutation testing of spreadsheets

Creator:: Abraham, Robin, Erwig, Martin, and Oregon State University. School of Electrical Engineering and Computer Science
Abstract:: We present a catalog of mutation operators for spreadsheets drawn from research into mutation testing for general purpose programming languages and from spreadsheet errors that have been reported in literature. These operators are integrated into a system, called μTest, which allows users to create and maintain spreadsheet test cases. Three...
Resource Type:: Technical Report
Full Text:: School of EECS, Oregon State University [abraharo|erwig]@eecs.oregonstate.edu August 1, 2006 Abstract

Calibrating recurrent sliding window classifiers for sequential supervised learning

Creator:: Joshi, Saket, Dietterich, Thomas G., and Oregon State University. School of Electrical Engineering and Computer Science
Abstract:: Sequential supervised learning problems involve assigning a class label to each item in a sequence. Examples include part of speech tagging and text to speech mapping. A very general-purpose strategy for solving such problems is to construct a recurrent sliding window (RSW) classifier which maps some window of the input...
Resource Type:: Technical Report
Full Text:: to speech� A machine learning approach� Tech� rep� �� Department of Computer Science� Oregon

The choice calculus : a formal language of variation

Creator:: Walkingshaw, Eric
Abstract:: In this thesis I present the choice calculus, a formal language for representing variation in software and other structured artifacts. The choice calculus is intended to support variation research in a way similar to the lambda calculus in programming language research. Specifically, it provides a simple formal basis for presenting,...
Resource Type:: Dissertation
Full Text:: Walkingshaw A DISSERTATION submitted to Oregon State University in partial fulfillment of the requirements

Radiation effects in III-V heterojunction bipolar transistors

Creator:: Vuppala, Soujanya
Abstract:: Electron and neutron irradiation effects in InGaP/GaAs single heterojunction bipolar transistors are investigated in this thesis. Devices with different emitter sizes and grown by two different growth techniques were examined. Based on the physics of heterojunction bipolar transistors and concepts of radiation damage mechanisms, the irradiation effects were analyzed. The...
Resource Type:: Masters Thesis
Full Text:: Oregon State University in partial fulfillment of the requirements for the degree of Master of Science

Precipitation and winter temperature predict long-term range-scale abundance changes in Western North American birds

Creator:: Illán, Javier Gutiérrez, Thomas, Chris D., Jones, Julia A., Wong, Weng-Keen, Shirley, Susan M., and Betts, Matthew G.
Abstract:: Predicting biodiversity responses to climate change remains a difficult challenge, especially in climatically complex regions where precipitation is a limiting factor. Though statistical climatic envelope models are frequently used to project future scenarios for species distributions under climate change, these models are rarely tested using empirical data. We used long-term...
Resource Type:: Article
Full Text:: . Shirley*, and Matthew G. Betts* 4 * Department of Forest Ecosystems and Society. Oregon State University

ScholarsArchive@OSU

Teacher perceptions of training and pedagogical value of cross-reality and sensor data from smart buildings

Evaluating the Effects of Multiple Environmental Stressors on the Gulf of Alaska Pacific Cod Fishery Using a Dynamic Stress-Scape Framework

Wirelessly Powered cm-Scale Sensor for Small Insect Localization Application

SIMstat: Wireless, Highly-Reconfigurable Electrochemical Analog Front-End for Point-of-Care Diagnostics and Continuous Monitoring

An empirical comparison of mutant selection approaches

Mutation testing of spreadsheets

Calibrating recurrent sliding window classifiers for sequential supervised learning

The choice calculus : a formal language of variation

Radiation effects in III-V heterojunction bipolar transistors

Precipitation and winter temperature predict long-term range-scale abundance changes in Western North American birds

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