Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Audio signals (1)
- Behavior Recognition (1)
- Classification (1)
- Computer hearing (1)
- Data Insights (1)
-
- Data Science (1)
- Data Visualization (1)
- Data analysis (1)
- Deep learning (1)
- Deep neural networks (1)
- Earthquake insurance take-up rates (1)
- Earthquake risk (1)
- Exploratory analysis (1)
- Financial health (1)
- Financial literacy (1)
- Healthcare (1)
- Insurance (1)
- Motion Sensors (1)
- Polar Plot (1)
- Prediction model (1)
- Python (1)
- Reservoir Sampling (1)
- Semantic analysis (1)
- Senior Care (1)
- Stock market (1)
- Time series (1)
- Time series analysis (1)
- Tsunami early warning (1)
- Volcanic seismicity (1)
- Weighted Random Sample (1)
Articles 1 - 7 of 7
Full-Text Articles in Physical Sciences and Mathematics
A Transformer-Based Classification System For Volcanic Seismic Signals, Anthony P. Rinaldi, Cindy Mora Stock, Cristián Bravo Roman, Alexander Hemming
A Transformer-Based Classification System For Volcanic Seismic Signals, Anthony P. Rinaldi, Cindy Mora Stock, Cristián Bravo Roman, Alexander Hemming
Undergraduate Student Research Internships Conference
Monitoring volcanic events as they occur is a task that, to this day, requires significant human capital. The current process requires geologists to monitor seismographs around the clock, making it extremely labour-intensive and inefficient. The ability to automatically classify volcanic events as they happen in real-time would allow for quicker responses to these events by the surrounding communities. Timely knowledge of the type of event that is occurring can allow these surrounding communities to prepare or evacuate sooner depending on the magnitude of the event. Up until recently, not much research has been conducted regarding the potential for machine learning …
Investigation Of Key Factors To Earthquake Insurance Take-Up Rates In Quebec And British Columbia Households And Prediction Model Building, Yongcheng Jiang
Investigation Of Key Factors To Earthquake Insurance Take-Up Rates In Quebec And British Columbia Households And Prediction Model Building, Yongcheng Jiang
Undergraduate Student Research Internships Conference
Maintaining an adequate level of earthquake take-up rate could protect the insurance industry from systemic failure. Past research has shown that British Columbia and Quebec have significant differences in earthquake insurance take-up rate. This report investigates key factors from the structure (default options and various types) of the insurance plan and personal characteristics along with socioeconomic/demographic profiles that affect the demand for earthquake protection in the form of insurance. The report also provides a prediction model for earthquake insurance take-up rate. The results show an importance ranking of key factors of earthquake insurance take up, the most important three are …
Semantic Analysis Of Stock Market-Related Posts, Jiangqi Cui
Semantic Analysis Of Stock Market-Related Posts, Jiangqi Cui
Undergraduate Student Research Internships Conference
No abstract provided.
Financial Literacy: Self-Evaluation And Reality, Yangsijia Wang
Financial Literacy: Self-Evaluation And Reality, Yangsijia Wang
Undergraduate Student Research Internships Conference
This study is on the topic of financial literacy, with the data source containing information on clients' demographic information and self-evaluation, change in account value, and trade record, three major problems were investigated: first, whether a client's demographic traits are related to his/her self-evaluation of financial knowledge level; second, does the trading behaviour differ for clients who self-identified as in different financial knowledge groups; and third, do people who self-identified as financially knowledgeable have better investment result. Data manipulation was done using SQL and R. Exploratory analysis including multiple types of plots and proportion tables was used to derive the …
Tsunami Early Warning, Yao Li
Tsunami Early Warning, Yao Li
Undergraduate Student Research Internships Conference
This study uses both the traditional attributes, which are earthquake magnitude and location and pluses the tsunami height collected by detecting stations to estimate the height of a tsunami on the coast. The resulting accuracy indicates the tsunami height data collected by the off-shore stations could be used to estimate reliable and robust tsunami source models for tsunami warning purposes.
A Transformer-Based Classification System For Volcanic Seismic Signals, Cristian Bravo Roman, Cindy Mora Stock, Alexander James Hemming
A Transformer-Based Classification System For Volcanic Seismic Signals, Cristian Bravo Roman, Cindy Mora Stock, Alexander James Hemming
Undergraduate Student Research Internships Conference
Volcanic seismic signals are a key element in volcano monitoring to assess the state of unrest and a possible eruption style and timing. Different sources such as brittle fracture (volcano-tectonic - VT) or fluid movement (long period - LP) generate signals with distinct characteristics in frequency content and shape, but site effects such as attenuation or background noise make their determination difficult to the untrained eye. In cases of unrest or an eminent eruption, the amount of data would require a fast and reliable source of pre-classification to classify and catalogue to aid in the job usually done by a …
Monitoring At-Home Care Patients Through A Scalar Polar Plot Visualization Of Motion Sensor Data, Michael Mcgavin
Monitoring At-Home Care Patients Through A Scalar Polar Plot Visualization Of Motion Sensor Data, Michael Mcgavin
Undergraduate Student Research Internships Conference
In Canada, approximately 18 percent (6.6 million) of the total population are age 65 or older, and 88 percent of people over age 65 want to stay in their residence for as long as possible. This older demographic is a group that is dependent on proactive and preventative healthcare. Using motion sensor data collected from a local company providing home-care services to this demographic, a data visualization was constructed to assist users in observing patient behavior and improving their quality of life while maintaining their independence. However, since the collected data is time-based, it results in a dataset that is …