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Full-Text Articles in Physical Sciences and Mathematics

Legislative Recommendations On Biometric Security And Privacy Jurisprudence, Joshua M. Morrow May 2024

Legislative Recommendations On Biometric Security And Privacy Jurisprudence, Joshua M. Morrow

All Student Scholarship

This project focuses on the prevalence of biometrics today, their various applications, and the biometric laws and legislations in place in the United States (U.S.) and Maine. Due to various threats and vulnerabilities imposing risk on collecting and using peoples’ biometric data, sufficient cyber protections related to citizens’ privacy rights, ethical control, and security of personally identifiable information (PII) must become necessary components of contemporary biometric laws and legislation. Without such explicit cyber protections, citizens participate in and comply with various technical domains and entities, such as private companies and governmental agencies, with minimal awareness or comprehension that their sensitive …


Cybersecurity Policy Rubric And Analysis For The State Of Maine Electrical Transmission Grid, Benjamin Plummer M.S. Oct 2023

Cybersecurity Policy Rubric And Analysis For The State Of Maine Electrical Transmission Grid, Benjamin Plummer M.S.

All Student Scholarship

The State of Maine’s (SOM) electrical grid is aging. While there are public and private efforts to bring it up to date, gaps in cybersecurity policies and laws exist (NERC, n.d.; see also MPUC, n.d.; CISA, n.d.). This policy and law research may also apply to other states and the protection of their critical infrastructure. The researcher examined the grid’s controls, policies, and laws to determine the influence each exerts over the grid and where that influence presents vulnerabilities in security. The research focused on the controls, policies, and laws that play a role in protecting the grid. The researcher …


Convolutional Neural Networks For Protein Image Classification, Nick Littlefield Apr 2019

Convolutional Neural Networks For Protein Image Classification, Nick Littlefield

Thinking Matters Symposium Archive

A solution to the Kaggle competition: Human Protein Atlas Image Classification. Using microscopic images of cells provided by the Human Protein Atlas, convolutional neural networks, CNNs, were used to analyze and predict the location of protein patterns. Challenges included working with an unbalanced dataset, finding a correct learning rate, and choosing a correct architecture to solve the problem. To learn how to overcome these challenges and gain more understanding of the problem, various kernels and discussion posts for the competition, as well as papers on different CNN architectures were used.


Cross-Platform Openhds Web Application, Nick Littlefield Apr 2018

Cross-Platform Openhds Web Application, Nick Littlefield

Thinking Matters Symposium Archive

A proof of concept cross platform data collection application for Demographic and Health studies has been developed. This application allows for the collection of information about locations, individuals, births, and deaths within a region. This application can be run on both mobile devices, laptops, and desktops.


Virus Testing Across Multiple Platforms, Ryan Ignaciuk, Louis Hychko Apr 2017

Virus Testing Across Multiple Platforms, Ryan Ignaciuk, Louis Hychko

Thinking Matters Symposium Archive

Systems Engineering, as a value added re-seller, has noticed a number of organizations questioning the value of anti-virus / anti-malware applications in addition to native operating system protections. So the Maine Cyber Security Cluster (MCSC) at USM teamed up with Systems Engineering in Portland to find out exactly what would happen if a great deal of viruses and malware made it onto your computer that is protected with anti-virus programs they recommend to clients. We used a variety of different operating systems with an assortment of anti-virus programs. These are all either currently in use by Systems Engineering or are …


Software Interoperability And The Pods Openhds System, Benjamin S. Heasly Ms Jan 2016

Software Interoperability And The Pods Openhds System, Benjamin S. Heasly Ms

All Student Scholarship

This work addressed challenges of software system interoperability faced by the Open Health and Demographics Surveillance System (OpenHDS). OpenHDS is a distributed application for demographic data collection which was used during a public health intervention in Equatorial Guinea. Specific challenges faced during this intervention included offline data collection and synchronization, changing data collection and software requirements, data size and system performance, and correction of software and data collection errors. This work produced in a new system, the PODS OpenHDS System, which applied four design themes in order to address these challenges: Polymorphism, developer Operations, Declarative style, and Self-description.


Topological Manifolds, Grant Wilson Apr 2015

Topological Manifolds, Grant Wilson

Thinking Matters Symposium Archive

Topological Manifolds are abstract spaces that locally resemble Euclidean space. For example, consider a round globe and a flat map. The map is a 2-dimensional representation of a 3-dimensional space. Given any point on the globe we can find a corresponding position on the map, and vice versa. This correspondence is called a chart. With a sufficient number of charts, we can describe the whole space. Such a collection of charts is called an Atlas. It is possible to construct different Atlases for the same space, allowing us to move from one chart, to the space, to another chart. This …


Accuracy Of Optical Character Recognition Software Google Tesseract, Joshua A. Suitter Apr 2015

Accuracy Of Optical Character Recognition Software Google Tesseract, Joshua A. Suitter

Thinking Matters Symposium Archive

Tesseract is an open-source OCR (Optical Character Recognition) softwareengine originally developed by HP between 1985 and 1995, it is now sponsored by Google Projects (Google Tesseract). While Tesseract is known as one of the most accurate free OCR enginesavailable today, it has numerous limitations that dramatically affect its performance; its ability to correctly recognize characters in a scan or image. During my research I have found that certain fonts are accepted more than others, and font size, spacing, and image quality all play a role in how Tesseract performs. In this project, I will also be looking into Wolfram’s Mathematica …


The Truman Show: Scalable Generation Of Artificial Network Traffic For Cyber Security Research, Adam Wirth Apr 2015

The Truman Show: Scalable Generation Of Artificial Network Traffic For Cyber Security Research, Adam Wirth

Thinking Matters Symposium Archive

Network traffic generation is a key component of the creation of a network simulation environment. In order to create a realistic simulation of a large scale network in action, it is necessary to have a large volume of user traffic. Past methods for providing user traffic, such as hiring users to manually generate traffic, or recording existing traffic of an active network, provide limited control. Managing and directing users is time consuming, and using existing traffic is restricted by recorded conditions. The Truman Show project provides an infinitely adjustable alternative by utilizing agent based modeling of individual users. An agent …


A Federated Architecture For Managing Health Information In Ethiopia, Russell Gillen Ms Jan 2013

A Federated Architecture For Managing Health Information In Ethiopia, Russell Gillen Ms

All Student Scholarship

Electronic health systems can be leveraged to aid in the delivery and management of health care for patients in developing countries. The delivery of health information by mobile devices is playing an increasing role in health information management.


Predicting Traffic On The Maine Turnpike Using Artificial Neural Networks, Robert Swain Ms Jan 2012

Predicting Traffic On The Maine Turnpike Using Artificial Neural Networks, Robert Swain Ms

All Student Scholarship

In this thesis, I compare the forecasting accuracy of statistical models with artificial neural networks when predicting daily traffic counts on the Maine turnpike over holiday weekends.