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Physical Sciences and Mathematics Commons

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Artificial Intelligence and Robotics

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Expert System

Articles 1 - 3 of 3

Full-Text Articles in Physical Sciences and Mathematics

Medical Procedure Expert System, Timothy Whitney, Jeremy Straub, Eunjin Kim Apr 2015

Medical Procedure Expert System, Timothy Whitney, Jeremy Straub, Eunjin Kim

Jeremy Straub

Artificial intelligence is an area of research in computer science that allows for computer systems to make logical decisions based on its environment. This basic ability can be applied to many problems, including detecting abnormalities in a system, such as commands issued by malicious users, or erroneous commands from valid users. The ability to detect such commands is particularly useful in high risk application where such a command could result in harm to people. This research focuses on one such area by applying the decision making power of AI towards a medical use by developing an expert system to detect …


Course Outcome Prediction Using An Expert System, Michael Kuehn, Jared Estad, Jeremy Straub, Eunjin Kim Apr 2015

Course Outcome Prediction Using An Expert System, Michael Kuehn, Jared Estad, Jeremy Straub, Eunjin Kim

Jeremy Straub

Determining how well a student will perform in a course based on their prior knowledge of the course material and other factors may help determine student placement and the need for remedial instruction. This poster presents work on the creation of an expert system that attempts to predict a student’s performance based on a pre-evaluation test and responses to background preparation questions. This work utilizes data from prior students to train and test the system.


An Expert System For Microwave Wireless Power Transmission Failure Prevention, Cameron Kerbaugh, Allen Mcdermott, Jeremy Straub Apr 2015

An Expert System For Microwave Wireless Power Transmission Failure Prevention, Cameron Kerbaugh, Allen Mcdermott, Jeremy Straub

Jeremy Straub

Wireless power transfer (WPT) can be used to deliver space-generated power to ground stations through the use of microwave beams. WPT satellite power delivery systems have two major failure states: misdi-recting a beam and failing to send power to a station. This project has implemented an expert system to perform pattern recognition in an effort to prevent failures by analyzing the system state and predicting potential failures before they happen in support of space-based testing [1] and deployment [2].