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Articles 1 - 7 of 7
Full-Text Articles in Physical Sciences and Mathematics
Riparian Resilience In The Face Of Interacting Disturbances, Alexa S. Whipple
Riparian Resilience In The Face Of Interacting Disturbances, Alexa S. Whipple
2019 Symposium
Riparian systems of the dryland western United States provide critical ecosystem functions such as diverse habitat for numerous species, flood attenuation and essential water storage in water-limited environments. These systems have experienced long term disturbance from anthropogenic activities including the grazing of livestock in dryland riparian systems and near extirpation of a keystone riparian species, Castor canadensis (beaver). However, increasing frequency of large-scale wildfires and climate change driven weather is altering the severity and scale of riparian disturbance. Beaver restoration has been gaining use to address long term riparian disturbances, yet little is understood regarding the impact of restored beaver …
Optimum Moisture Content And Maximum Dry Unit Weight For Compaction Of Interdisciplinary Science Center Soil, Rachel A. Lunstroth, Maria Camilla O'Toole, Melissa Simbler
Optimum Moisture Content And Maximum Dry Unit Weight For Compaction Of Interdisciplinary Science Center Soil, Rachel A. Lunstroth, Maria Camilla O'Toole, Melissa Simbler
2019 Symposium
Eastern Washington University’s is currently undergoing construction with the addition of the Interdisciplinary Science Center. A soil sample was collected from the construction site and over the course of Fall Quarter 2018 we performed a series of tests on this soil allowing us to classify the soil based on the Unified Soil Classification System. These tests include: a specific gravity determination test according to the American Society for Testing and Materials (ASTM) standard D854, a sieve and hydrometer analysis according to the ASTM standard D422, and an Atterberg limits test according to the ASTM standard D-4318. We also performed a …
Relaxed Mental State Detection Using The Emotiv Epoc And Adaptive Threshold Algorithms, Olin L. Anderson
Relaxed Mental State Detection Using The Emotiv Epoc And Adaptive Threshold Algorithms, Olin L. Anderson
EWU Masters Thesis Collection
The electroencephalogram (EEG) has proven to be useful in a wide variety of applications, including: diagnosis of mental disorders, psychological research, neurofeedback, and brain-computer interfacing. Most such applications of the EEG benefit from an ability to automatically detect when the subject is in a relaxed state. Recently, inexpensive and relatively easy to use EEG systems, with multiple electrodes, have become available at prices comparable to cellular phones or game machines. This project’s purpose is to investigate the feasibility of real-time classification of a subject's relaxation state using one such consumer-grade EEG system, the Emotiv Epoc. The subject's state is classified …
The Application Of Cloud Resources To Terrain Data Visualization, Gregory J. Larrick
The Application Of Cloud Resources To Terrain Data Visualization, Gregory J. Larrick
EWU Masters Thesis Collection
In this thesis, the recent trends in cloud computing, via virtual machine hosted servers, are applied to the field of big data visualization. In particular, we investigate the visualization of terrain data acquired from several major open data sets with a graphics library for browser based rendering. Similar terrain data visualization solutions have not fully taken advantage of remote computational resources. In this thesis, we show that, by using a collection of Amazon EC-2 machines for fetching and decoding of terrain data, in conjunction with modern graphics libraries, three dimensional terrain information may be viewed and interacted with by many …
Targeted Short-Term Nutrient Reduction To Manage Ventenata Dubia An Invasive Winter Annual Grass: Soil And Plant Responses, Jaren F. Lamm
Targeted Short-Term Nutrient Reduction To Manage Ventenata Dubia An Invasive Winter Annual Grass: Soil And Plant Responses, Jaren F. Lamm
EWU Masters Thesis Collection
Invasive winter annual grasses, IWAGs, have degraded extensive ecosystems around the world and continue to invade new ones yearly. IWAGs readily form large monocultures or near monocultures, thus management and restoration goals largely focus on maintaining or increasing plant diversity in impacted ecosystems. Unfortunately, common management methods also reduce native plant diversity and harm the soil microbiome. These effects require additional measures to be taken, like reseeding, and plant diversity is still usually well below remnant targets. Early season short-term nutrient reduction to manage IWAGs is largely unexplored and would potentially decrease IWAG abundance, active earlier than most plants, but …
Riparian Resilience In The Face Of Interacting Disturbances: Understanding Complex Interactions Between Wildfire, Erosion, And Beaver (Castor Canadensis) In Grazed Dryland Riparian Systems Of Low Order Streams In North Central Washington State, Usa, Alexa Whipple
EWU Masters Thesis Collection
Riparian systems of low order streams in the western United States (US) provide critical ecosystem functions and services such as diverse habitat for numerous species, flood attenuation and essential water storage in water limited environments. These systems have experienced long term disturbance from anthropogenic activities including mining, timber harvest, livestock grazing and near extirpation of a keystone riparian species, Castor canadensis (North American beaver). However, increasing frequency of large-scale wildfires and climate change driven weather is altering the severity and scale of riparian disturbance, often shifting highly impacted streams to a stable degraded state, unable to store water or provide …
Detecting And Mapping Real-Time Influenza-Like Illness Using Twitter Stream Data, Elisha D. Brunette
Detecting And Mapping Real-Time Influenza-Like Illness Using Twitter Stream Data, Elisha D. Brunette
EWU Masters Thesis Collection
Influenza has been identified by the World Health Organization as a global issue that could be more effectively served through an accelerated and widely-accessible public health surveillance tracking process. The ability to map and predict influenza outbreaks in a real-time heat map would be invaluable to health care systems to prepare for influenza outbreaks. In this study, the Twitter stream data is filtered to identify potential influenza-like illness (ILI) cases. Then the tracking of real-time influenza cases is further explored and analyzed through various machine-learning models. Among seven learning models developed to identify ILI tweets, the ELMo deep neural network …