{"title":"Speckled Eggs and Wooden Ashes","authors":"K. Mueller","doi":"10.61366/2576-2176.1057","DOIUrl":"https://doi.org/10.61366/2576-2176.1057","url":null,"abstract":"","PeriodicalId":113813,"journal":{"name":"Scholarly Horizons: University of Minnesota, Morris Undergraduate Journal","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125373224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Advancements in graphical hardware call for innovative solutions, which can improve the realism of computer generated lighting. These innovative solutions aim to generate state of the art computer generated lighting through a combination of intelligent global illumination models and the use of modern hardware. The solution described in this paper achieves global illumination by ray tracing over geometry within a 3D scene from distributed light field probes and proceeds to shade the scene with a deferred renderer. Such a solution provides the flexibility and robustness that many other global illumination models have previously lacked while still achieving realistic lighting that is representative of the capabilities of the operating hardware.
{"title":"An Overview of Modern Global Illumination","authors":"S. Antinozzi","doi":"10.61366/2576-2176.1042","DOIUrl":"https://doi.org/10.61366/2576-2176.1042","url":null,"abstract":"Advancements in graphical hardware call for innovative solutions, which can improve the realism of computer generated lighting. These innovative solutions aim to generate state of the art computer generated lighting through a combination of intelligent global illumination models and the use of modern hardware. The solution described in this paper achieves global illumination by ray tracing over geometry within a 3D scene from distributed light field probes and proceeds to shade the scene with a deferred renderer. Such a solution provides the flexibility and robustness that many other global illumination models have previously lacked while still achieving realistic lighting that is representative of the capabilities of the operating hardware.","PeriodicalId":113813,"journal":{"name":"Scholarly Horizons: University of Minnesota, Morris Undergraduate Journal","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127610307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The conflict-free coloring problem is a variation of the vertex coloring problem, a classical NP-hard optimization problem. The conflict-free coloring problem aims to color a possibly proper subset of vertices such that there is a unique color within the closed neighborhood (a vertex and its neighbors) of every vertex. This paper presents recent findings and heuristics to solve the conflict-free coloring problem on both general graphs and planar graphs.
{"title":"Conflict-Free Vertex Coloring Of Planar Graphs","authors":"Shaun A. Seymour","doi":"10.61366/2576-2176.1049","DOIUrl":"https://doi.org/10.61366/2576-2176.1049","url":null,"abstract":"The conflict-free coloring problem is a variation of the vertex coloring problem, a classical NP-hard optimization problem. The conflict-free coloring problem aims to color a possibly proper subset of vertices such that there is a unique color within the closed neighborhood (a vertex and its neighbors) of every vertex. This paper presents recent findings and heuristics to solve the conflict-free coloring problem on both general graphs and planar graphs.","PeriodicalId":113813,"journal":{"name":"Scholarly Horizons: University of Minnesota, Morris Undergraduate Journal","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128969408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Female Insanity: The Portrayal of a Murderess in Alias Grace","authors":"Maria Medlyn","doi":"10.61366/2576-2176.1047","DOIUrl":"https://doi.org/10.61366/2576-2176.1047","url":null,"abstract":"","PeriodicalId":113813,"journal":{"name":"Scholarly Horizons: University of Minnesota, Morris Undergraduate Journal","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114990447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The use of Twitter has rapidly grown since the first tweet in 2006. The number of spammers on Twitter shows a similar increase. Classifying users into spammers and nonspammers has been heavily researched, and new methods for spam detection are developing rapidly. One of these classification techniques is known as random forests. We examine three studies that employ random forests using user based features, geo-tagged features, and time dependent features. Each study showed high accuracy rates and F-measures with the exception of one model that had a test set with a more realistic proportion of spam relative to typical testing procedures. These studies suggest that random forests, in combination with unique feature selection can be used to identify spam and spammers with high accuracy but may have shortcomings when applied to real world situations.
{"title":"Identifying Twitter Spam by Utilizing Random Forests","authors":"Humza Haider","doi":"10.61366/2576-2176.1046","DOIUrl":"https://doi.org/10.61366/2576-2176.1046","url":null,"abstract":"The use of Twitter has rapidly grown since the first tweet in 2006. The number of spammers on Twitter shows a similar increase. Classifying users into spammers and nonspammers has been heavily researched, and new methods for spam detection are developing rapidly. One of these classification techniques is known as random forests. We examine three studies that employ random forests using user based features, geo-tagged features, and time dependent features. Each study showed high accuracy rates and F-measures with the exception of one model that had a test set with a more realistic proportion of spam relative to typical testing procedures. These studies suggest that random forests, in combination with unique feature selection can be used to identify spam and spammers with high accuracy but may have shortcomings when applied to real world situations.","PeriodicalId":113813,"journal":{"name":"Scholarly Horizons: University of Minnesota, Morris Undergraduate Journal","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114874791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Today the world is experiencing the rapid growth of the older population. The number of older adults who own digital devices such as smartphones is increasing as well. The current smartphone user interfaces, however, appear not optimized for older adults. When designing smartphone user interfaces for older adults, we must consider their age-related physical and cognitive changes, which most likely affect their user experience. The present paper explores smartphone user interface guidelines for older adults and heuristics for evaluating the usability of Android launchers for older adults as well as a research study that developed an Android launcher for older adults.
{"title":"Touchscreen Smartphone User Interfaces for Older Adults","authors":"Aiko Sano","doi":"10.61366/2576-2176.1048","DOIUrl":"https://doi.org/10.61366/2576-2176.1048","url":null,"abstract":"Today the world is experiencing the rapid growth of the older population. The number of older adults who own digital devices such as smartphones is increasing as well. The current smartphone user interfaces, however, appear not optimized for older adults. When designing smartphone user interfaces for older adults, we must consider their age-related physical and cognitive changes, which most likely affect their user experience. The present paper explores smartphone user interface guidelines for older adults and heuristics for evaluating the usability of Android launchers for older adults as well as a research study that developed an Android launcher for older adults.","PeriodicalId":113813,"journal":{"name":"Scholarly Horizons: University of Minnesota, Morris Undergraduate Journal","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133536641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Over the past 5 years there has been an increase in the use of convolutional neural networks in a broad variety of medical imaging applications. This is due in part to the increase in their popularity since their success in the 2012 ImageNet competition, but is also due to their adaptabil-ity across a range of medical imaging applications. These applications vary greatly; from the segmentation of knee cartilage to the detection of Alzheimer’s disease in MRIs and much more. In this paper we will go over some of the cutting edge techniques being used specifically for the tasks of brain segmentation; classifying with both binary segmentation on brain lesions and hierarchical segmentation with tumors. The results are proving to be quite promising with many of the described techniques outscoring previous state-of-the-art systems.
{"title":"Convolutional Neural Networks in Medical Imaging","authors":"M. Finzel","doi":"10.61366/2576-2176.1044","DOIUrl":"https://doi.org/10.61366/2576-2176.1044","url":null,"abstract":"Over the past 5 years there has been an increase in the use of convolutional neural networks in a broad variety of medical imaging applications. This is due in part to the increase in their popularity since their success in the 2012 ImageNet competition, but is also due to their adaptabil-ity across a range of medical imaging applications. These applications vary greatly; from the segmentation of knee cartilage to the detection of Alzheimer’s disease in MRIs and much more. In this paper we will go over some of the cutting edge techniques being used specifically for the tasks of brain segmentation; classifying with both binary segmentation on brain lesions and hierarchical segmentation with tumors. The results are proving to be quite promising with many of the described techniques outscoring previous state-of-the-art systems.","PeriodicalId":113813,"journal":{"name":"Scholarly Horizons: University of Minnesota, Morris Undergraduate Journal","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130927643","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Unifying the Oppressed Through Biofiction","authors":"C. Boney","doi":"10.61366/2576-2176.1043","DOIUrl":"https://doi.org/10.61366/2576-2176.1043","url":null,"abstract":"","PeriodicalId":113813,"journal":{"name":"Scholarly Horizons: University of Minnesota, Morris Undergraduate Journal","volume":"101 9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116292167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mental Health Disparities by Identity Among Gender and Sexual Minorities","authors":"S. Flanagan","doi":"10.61366/2576-2176.1038","DOIUrl":"https://doi.org/10.61366/2576-2176.1038","url":null,"abstract":"","PeriodicalId":113813,"journal":{"name":"Scholarly Horizons: University of Minnesota, Morris Undergraduate Journal","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116673165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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