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Articles 1 - 15 of 15
Full-Text Articles in Computer Sciences
Information Technology And Computer Science Programs: How Do We Relate?, Bonnie K. Mackellar, Gregory Hislop, Mihaela C. Sabin, Amber Settle
Information Technology And Computer Science Programs: How Do We Relate?, Bonnie K. Mackellar, Gregory Hislop, Mihaela C. Sabin, Amber Settle
Amber Settle
Simulations In Prisons, Kim Read
Simulations In Prisons, Kim Read
Kim Read
A Computer Science Linked-Courses Learning Community, Amber Settle, John Lalor, Theresa Steinbach
A Computer Science Linked-Courses Learning Community, Amber Settle, John Lalor, Theresa Steinbach
Amber Settle
Who Are You? ...Honestly!, Zeinab Mahdavifar
Who Are You? ...Honestly!, Zeinab Mahdavifar
TAC Talks
Online social media has made life easier in many ways. Stay in touch with old classmates (Facebook), find a way to connect to like-minded professionals all over the globe (LinkedIn), and even seek help from fellow humans we could never imagine otherwise to help us (Mechanical Turk)! Social network profiles are never complete. Ascertaining personality traits and accurate determination of age and gender can make such social networks safer and stronger instruments of true collaboration and human connection.
In my talk, I will discuss the predictive models we built with the Social Media group within the Center for Data Science …
Private Predictive Modeling Power, Stacey C. Newman
Private Predictive Modeling Power, Stacey C. Newman
TAC Talks
The predictive potential of the many large datasets being held in healthcare, financial markets, social media, etc. by separate entities is locked behind privacy constraints. These separate entities either cannot share their data with one another or it is against their interests to do so. The ability to produce powerful predictive models that leverage knowledge from these different data sources is restrained by an inability to do so without revealing the data.
In my talk, I will outline our proposed protocol in which two different entities can build one of the most popular machine learning modules, a linear regression model …
Exploring Computer Graphics: Photorealistic And Non-Photorealistic Rendering, Brittany Chin
Exploring Computer Graphics: Photorealistic And Non-Photorealistic Rendering, Brittany Chin
CLAS: Colby Liberal Arts Symposium
Over the course of the year, the Advanced Computer Graphics course has explored a variety of image rendering techniques starting with the basic filling of polygons, and working all the way up to non-photorealistic rendering techniques. I have implemented a variety of these techniques in projects which demonstrate the growth and advancements of graphics over time. The implementations that are featured are an interactive tile game, a curve editor, a ray-tracer, and a non-photorealistic project. The capabilities of computer graphics are seemingly endless, and it is getting easier and easier to model the real world in synthetic systems. Where will …
Graphics, Beatrice Liang
Graphics, Beatrice Liang
CLAS: Colby Liberal Arts Symposium
Here I show images generating using computer graphics methods ranging from green screen images to 3D models
3d Model Generation From Flat Images And Other Pretty Pictures, Matthew Levine
3d Model Generation From Flat Images And Other Pretty Pictures, Matthew Levine
CLAS: Colby Liberal Arts Symposium
We present a novel method of generating 3D models from 2D images using neural network techniques. We also show a custom implementation of a global illumination model natively integrated into Python's standard 2D image library (with a fast C backend).
Trees And Non-Photorealistic Images, Christopher Burnham
Trees And Non-Photorealistic Images, Christopher Burnham
CLAS: Colby Liberal Arts Symposium
Showing of a graphics system with some trees and non-photorealistic images.
A Look Into Graphics Engines And Non-Photorealistic Rendering, Margaux Leblanc
A Look Into Graphics Engines And Non-Photorealistic Rendering, Margaux Leblanc
CLAS: Colby Liberal Arts Symposium
Throughout the year I have created a graphics pipeline that can render both photorealistic and non-photorealistic images. It all starts with defining what a pixel is and building from there. For instance, an image is a collection of pixels, a color is just three numbers (red, green, and blue values), a line is coloring certain pixels with such a color based on Bresenham's line algorithm and so on. My graphics engine can draw and shade points, lines, polylines, and polygons according to different algorithms. Using these basic shapes I can create photorealistic images of L-systems and non-photorealistic images of paintbrush …
Computer Graphics Presentation, Itrat Akhter
Computer Graphics Presentation, Itrat Akhter
CLAS: Colby Liberal Arts Symposium
The aim of this poster presentation is to display the works that I did over two semester of computer graphics classes. As such, I will give a brief glimpse of the methods and images involving fractals, bezier curves and surfaces, hierarchical modeling, shading and lighting, particle systems and others.
Modeling Traffic At An Intersection, Kaleigh L. Mulkey, Saniita K. Fasenntao
Modeling Traffic At An Intersection, Kaleigh L. Mulkey, Saniita K. Fasenntao
Symposium of Student Scholars
The main purpose of this project is to build a mathematical model for traffic at a busy intersection. We use elements of Queueing Theory to build our model: the vehicles driving into the intersection are the “arrival process” and the stop light in the intersection is the “server.”
We collected traffic data on the number of vehicles arriving to the intersection, the duration of green and red lights, and the number of vehicles going through the intersection during a green light. We built a SAS macro code to simulate traffic based on parameters derived from the data.
In our program …
How The University Of California Runs One Repository For Ten Campuses, Katie Fortney
How The University Of California Runs One Repository For Ten Campuses, Katie Fortney
Inaugural CSU IR Conference, 2015
Katie Fortney, JD, MLIS, Copyright Policy & Education Officer, Office of Scholarly Communication, University of California http://osc.universityofcalifornia.edu/
Implementing Metaarchive And Lockss At Digital Commons @Cal Poly, Michele Wyngard
Implementing Metaarchive And Lockss At Digital Commons @Cal Poly, Michele Wyngard
Inaugural CSU IR Conference, 2015
Michele Wyngard, Digital Repository Coordinator, CSU Cal Poly
Reconsidering The Impact Of Cs1 On Novice Attitudes, Amber Settle, John Lalor, Theresa Steinbach
Reconsidering The Impact Of Cs1 On Novice Attitudes, Amber Settle, John Lalor, Theresa Steinbach
Amber Settle