337 research outputs found

    Validation Study of Image Recognition Algorithms

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    Developments in machine learning in recent years have created opportunities that previously never existed. One such field with an explosion of opportunity is image recognition, also known as computer vision; the process in which a machine analyzes a digital image. In order for a machine to ‘see’ as a human does, it must break down the image in a process called image segmentation. The way the machine goes about doing this is important, and many algorithms exist to determine just how a machine will decide to group the pixels in an image. This research is a validation study of related papers on image segmentation algorithms for machine learning. Algorithms for this study will be written in Python and tested on three different hardware environments: a laptop, a desktop, and a server. Many fields have great use for computer vision, and its improvement is a good sign that more possibilities will open up with its application. Additionally, this study opens opportunities for students to see sophisticated code first hand. This research was funded in part by the Dr. Snowden Memorial Scholarship with the NASA OKLAHOMA Space Grant Consortium. This material is based upon work supported by the National Aeronautics and Space Administration issued through the Oklahoma Space Grant Consortium

    The Development Process of Making a Communication Application for Severe Non-Verbal Autistic Students

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    This research focuses on the development of an application to aide non-verbal autistic students. The purpose of this study is to determine the unique aspects of developing software, as well as the similarities and differences compared to the traditional development process, for students with special needs, as well as laying the groundwork for an Open Distribution program under SWOSU for future developers. The special needs community can be a very niche market depending on the type and severity of the condition, and is often overlooked by software application developers. This study follows the development of an Android based communication application for a low cost tablet; this product is a work in progress

    PerfSONAR and OFFN: Diagnosing and Testing Science DMZ Connections for the High-Speed Transfer of Large Datasets on OneOklahoma Friction Free Network

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    The OneOklahoma Friction Free Network (OFFN) is a Science DMZ network that is designed with the purpose of enabling collaboration between high performance computing centers and higher learning institutions from across the state of Oklahoma. OFFN allows researchers the ability to transfer datasets at speeds faster than a standard internet connection by allowing direct connections to servers on OFFN by not having to deal with firewalls. We use PerfSonar to measure the performance of OFFN. A PerfSonar testing server is needed on each OFFN node to monitor the health of the network as a whole. PerfSonar can perform response testing, data throughput, packet loss, and one-way latency testing to determine if there is a issue on the network which could cause problems for the large data transfers across the OFFN network and the researchers who utilize it

    Examining the Correlation Between Professionalism and Quality of Life in Computer Science Careers

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    Advances in technology are changing life. Exciting careers in STEM related fields, especially Computer Science, are key enablers of these advancements. However; there is a concern that a low quality of life in Computer Science careers may be leading to too few programmers pursuing these careers, with especially low representation amongst females. One indication of this is the gender gap in University degrees granted to females, where half of college grads are women but only 25% of Computer Science degrees are granted to women. This research reviews literature related to measures of professionalism and quality of life across careers, including average wages, age, length of career, work-life balance, upward mobility, support for professional accreditation, and gender equality, and looks for correlation between measures of quality of life. This research examines the hypothesis that increased professionalism in the Computer Science career could lead to a higher quality of life, as measured by average age, career length, salary, and gender gab size. One of the best example of professionalism would be ACM Code of Ethics and Professional Conduct adopted by ACM Council in 1992. Although many people and organizations have talked about professionalism in Computer Science field, few official standards of conduct are officially implemented. The research goal is increased awareness of the value of professionalism and discipline, especially for career Computer Scientists
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