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Physical Sciences and Mathematics Commons™
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Articles 1 - 20 of 20
Full-Text Articles in Physical Sciences and Mathematics
Challenges With Large Transverse Momentum In Semi-Inclusive Deeply Inelastic Scattering, J. O. Gonzalez-Hernandez, T. C. Rogers, N. Sato, B. Wang
Challenges With Large Transverse Momentum In Semi-Inclusive Deeply Inelastic Scattering, J. O. Gonzalez-Hernandez, T. C. Rogers, N. Sato, B. Wang
Physics Faculty Publications
We survey the current phenomenological status of semi-inclusive deeply inelastic scattering at moderate hard scales and in the limit of very large transverse momentum. As the transverse momentum becomes comparable to or larger than the overall hard scale, the differential cross sections should be calculable with fixed order perturbative QCD (pQCD) methods, while small transverse momentum (transverse-momentum-dependent factorization) approximations should eventually break down. We find large disagreement between HERMES and COMPASS data and fixed order calculations done with modern parton densities, even in regions of kinematics where such calculations should be expected to be very accurate. Possible interpretations are suggested.
Protecting Privacy Of Data In The Internet Of Things With Policy Enforcement Fog Module, Abduljaleel Al-Hasnawi
Protecting Privacy Of Data In The Internet Of Things With Policy Enforcement Fog Module, Abduljaleel Al-Hasnawi
Dissertations
The growth of IoT applications has resulted in generating massive volumes of data about people and their surroundings. Significant portions of these data are sensitive since they reflect peoples' behaviors, interests, lifestyles, etc. Protecting sensitive IoT data from privacy violations is a challenge since these data need to be handled by public networks, servers and clouds, most of which are untrusted parties for data owners. In this study, a solution called Policy Enforcement Fog Module (PEFM) is proposed for protecting sensitive IoT data. The primary task of the PEFM solution is mandatory enforcement of privacy polices for sensitive IoT data-whenever …
Seeing And Understanding Data, Beverly Wood, Charlotte Bolch
Seeing And Understanding Data, Beverly Wood, Charlotte Bolch
Statistics and Probability
No abstract provided.
Fully Convolutional Neural Networks For Pixel Classification In Historical Document Images, Seth Andrew Stewart
Fully Convolutional Neural Networks For Pixel Classification In Historical Document Images, Seth Andrew Stewart
Theses and Dissertations
We use a Fully Convolutional Neural Network (FCNN) to classify pixels in historical document images, enabling the extraction of high-quality, pixel-precise and semantically consistent layers of masked content. We also analyze a dataset of hand-labeled historical form images of unprecedented detail and complexity. The semantic categories we consider in this new dataset include handwriting, machine-printed text, dotted and solid lines, and stamps. Segmentation of document images into distinct layers allows handwriting, machine print, and other content to be processed and recognized discriminatively, and therefore more intelligently than might be possible with content-unaware methods. We show that an efficient FCNN with …
Fully Convolutional Neural Networks For Pixel Classification In Historical Document Images, Seth Andrew Stewart
Fully Convolutional Neural Networks For Pixel Classification In Historical Document Images, Seth Andrew Stewart
Theses and Dissertations
We use a Fully Convolutional Neural Network (FCNN) to classify pixels in historical document images, enabling the extraction of high-quality, pixel-precise and semantically consistent layers of masked content. We also analyze a dataset of hand-labeled historical form images of unprecedented detail and complexity. The semantic categories we consider in this new dataset include handwriting, machine-printed text, dotted and solid lines, and stamps. Segmentation of document images into distinct layers allows handwriting, machine print, and other content to be processed and recognized discriminatively, and therefore more intelligently than might be possible with content-unaware methods. We show that an efficient FCNN with …
Polynomial Fitting, R. Steven Turley
Polynomial Fitting, R. Steven Turley
Faculty Publications
This article reviews the theory and some good practice for fitting polynomials to data. I show by theory and example why fitting using a basis of orthogonal polynomials rather than monomials is desirable. I also show how to scale the independent variable for a more stable fit. I also demonstrate how to compute the uncertainty in the fit parameters. Finally, I discuss regression analysis: how to determine whether adding an additional term to the fit is justified.
Implementing The Use Of Personal Activity Data In An Introductory Statistics Course, Lacy Christensen
Implementing The Use Of Personal Activity Data In An Introductory Statistics Course, Lacy Christensen
All Graduate Theses and Dissertations, Spring 1920 to Summer 2023
Integrating real data into a classroom is one of the recommendations in the Guidelines for Assessment and Instruction in Statistics Education (GAISE) college report which lays out guidelines for an introductory statistics course (Committee, GAISE College Report ASA Revision, 2016). In order to assess the effect of using real data in a classroom, the students received physical activity trackers to wear during an undergraduate introductory statistics course taught in the summer. This tracker, a Fitbit, enabled students to monitor and record their steps, calories, and active time throughout the class. Collecting personal activity data (PAD) creates a large database which …
From Data To Decisions: Navigating The “So What?” And “What’S Next?” Conversation Around Nearshore Data, Dawn Spilsbury Pucci
From Data To Decisions: Navigating The “So What?” And “What’S Next?” Conversation Around Nearshore Data, Dawn Spilsbury Pucci
Salish Sea Ecosystem Conference
Ever wonder what happens to all those data being collected? In Island County, we are fortunate to be the focus of a plethora of data collection efforts. We have comprehensive nearshore assessments that describe where our habitats are and how those habitats are built. We have habitat assessments that are a collaborative effort between citizen science groups and state agencies. We have long-term status and trends data sets on intertidal habitats and presence for a few specific species. We have a high resolution shoreline armor dataset and we have a predictive probability model for coastal flood risk. But what do …
Development Of An Interactive Web Map To Visualize A Complex Dataset, Lisa Ferrier
Development Of An Interactive Web Map To Visualize A Complex Dataset, Lisa Ferrier
Salish Sea Ecosystem Conference
The Washington State Department of Natural Resources (DNR) is steward to 2.6 million acres of state-owned aquatic lands. As part of its management responsibilities, DNR’s Submerged Vegetation Monitoring Program (SVMP) documents occurrences of seagrass throughout greater Puget Sound. Seagrasses are recognized globally as a sensitive indicator of water quality while providing productive, critical habitat utilized by many fish, bird and invertebrate species. The SVMP has been conducting seagrass surveys in Puget Sound, using underwater video, since 2000. Video is reviewed, classified for presence/absence, and ultimately used to characterize abundance, distribution and change in seagrass at local, regional, and sound-wide scales. …
Bot Or Not: Detecting Bots In Online Multiplayer Video Games Through User Input, Alexander Boutelle
Bot Or Not: Detecting Bots In Online Multiplayer Video Games Through User Input, Alexander Boutelle
Undergraduate Research Celebration 2018
No abstract provided.
Fy 2018 Umass Amherst Waste Management Report, Ezra Small
Fy 2018 Umass Amherst Waste Management Report, Ezra Small
Campus Data
Each year the Office of Waste Management publishes this report which totals recycling and refuse data for the campus.
2018 Gloucester Point Station Tide Prediction Calendars, Virginia Institute Of Marine Science, David A. Evans
2018 Gloucester Point Station Tide Prediction Calendars, Virginia Institute Of Marine Science, David A. Evans
Miscellaneous
These calendars are produced monthly using David Evans' Tidecal.
2018 Chesapeake Bay Bridge Tunnel Station Tide Prediction Calendars, Virginia Institute Of Marine Science, David A. Evans
2018 Chesapeake Bay Bridge Tunnel Station Tide Prediction Calendars, Virginia Institute Of Marine Science, David A. Evans
Miscellaneous
These calendars are produced monthly using David Evans' Tidecal.
2018 Wachapreague Station Tide Prediction Calendars, Virginia Institute Of Marine Science, David A. Evans
2018 Wachapreague Station Tide Prediction Calendars, Virginia Institute Of Marine Science, David A. Evans
Miscellaneous
These calendars are produced monthly using David Evans' Tidecal.
2018 Hampton Roads Station Tide Prediction Calendars, Virginia Institute Of Marine Science, David A. Evans
2018 Hampton Roads Station Tide Prediction Calendars, Virginia Institute Of Marine Science, David A. Evans
Miscellaneous
These calendars are produced monthly using David Evans' Tidecal.
Summary Tables: 2018 Essex County, Virginia Shoreline Inventory Report, Marcia Berman, Karinna Nunez, Sharon Killeen, Tamia Rudnicky, Julie G. Bradshaw, Jessica Hendricks, David Stanhope, Carl Hershner
Summary Tables: 2018 Essex County, Virginia Shoreline Inventory Report, Marcia Berman, Karinna Nunez, Sharon Killeen, Tamia Rudnicky, Julie G. Bradshaw, Jessica Hendricks, David Stanhope, Carl Hershner
Reports
The Shoreline Inventory Summary Tables quantify observed conditions based on river systems, such as the combined length of linear features (e.g. shoreline miles surveyed, miles of bulkhead and revetment), the total number of point features (e.g. docks, boathouses, boat ramps) & total acres of polygon features (tidal marshes).
Students’ Interpretations Of Categorical Data Using Dynamic Graphical Representations, Adam Eide
Students’ Interpretations Of Categorical Data Using Dynamic Graphical Representations, Adam Eide
Master's Theses and Doctoral Dissertations
Statistical association is an important concept in statistics. An exploratory study examined how students reason about statistical association utilizing graphical representations constructed with CODAP, a dynamic statistical graphing software. Task-based interviews were conducted with three 6th grade students prior to formal instruction. Students’ conceptions of a statistical relationship, proportional reasoning skill level, ability to interpret bivariate categorical graphs (particularly segmented bar graphs and two-way binned plots), and ability to identify association of two categorical variables were all investigated through interview tasks and responses to inquiry. Students were found to have developing proportional reasoning skills and struggled to correctly define and …
Summary Tables: 2018 Caroline County, Virginia Shoreline Inventory, Marcia Berman, Karinna Nunez, Sharon Killeen, Tamia Rudnicky, Julie G. Bradshaw, Jessica Hendricks, Carl Hershner
Summary Tables: 2018 Caroline County, Virginia Shoreline Inventory, Marcia Berman, Karinna Nunez, Sharon Killeen, Tamia Rudnicky, Julie G. Bradshaw, Jessica Hendricks, Carl Hershner
Reports
The Shoreline Inventory Summary Tables quantify observed conditions based on river systems, such as the combined length of linear features (e.g. shoreline miles surveyed, miles of bulkhead and revetment), the total number of point features (e.g. docks, boathouses, boat ramps) & total acres of polygon features (tidal marshes).
Summary Tables: 2018 New Kent County, Virginia Shoreline Inventory, Marcia Berman, Karinna Nunez, Sharon Killeen, Tamia Rudnicky, Julie G. Bradshaw, Jessica Hendricks, Carl Hershner
Summary Tables: 2018 New Kent County, Virginia Shoreline Inventory, Marcia Berman, Karinna Nunez, Sharon Killeen, Tamia Rudnicky, Julie G. Bradshaw, Jessica Hendricks, Carl Hershner
Reports
The Shoreline Inventory Summary Tables quantify observed conditions based on river systems, such as the combined length of linear features (e.g. shoreline miles surveyed, miles of bulkhead and revetment), the total number of point features (e.g. docks, boathouses, boat ramps) & total acres of polygon features (tidal marshes).
Summary Tables: 2018 Richmond County, Virginia Shoreline Inventory, Marcia Berman, Karinna Nunez, Sharon Killeen, Tamia Rudnicky, Julie G. Bradshaw, Jessica Hendricks, Kory Angstadt, Carl Hershner
Summary Tables: 2018 Richmond County, Virginia Shoreline Inventory, Marcia Berman, Karinna Nunez, Sharon Killeen, Tamia Rudnicky, Julie G. Bradshaw, Jessica Hendricks, Kory Angstadt, Carl Hershner
Reports
The Shoreline Inventory Summary Tables quantify observed conditions based on river systems, such as the combined length of linear features (e.g. shoreline miles surveyed, miles of bulkhead and revetment), the total number of point features (e.g. docks, boathouses, boat ramps) & total acres of polygon features (tidal marshes).