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SelectedWorks

2015

AI Decision Making

Articles 1 - 8 of 8

Full-Text Articles in Physical Sciences and Mathematics

Scheduling Algorithm Development For An Open Source Software And Open Hardware Spacecraft, Calvin Bina, Jeremy Straub, Ronald Marsh Apr 2015

Scheduling Algorithm Development For An Open Source Software And Open Hardware Spacecraft, Calvin Bina, Jeremy Straub, Ronald Marsh

Jeremy Straub

The efficacy of each type of scheduler is assessed rela-tive to the goal of having a time and resource efficient scheduling algorithm. The scheduler must ensure suc-cessful spacecraft operations and maximize the perfor-mance of tasks relative to performance constraints and their respective due dates.


Artificial Intelligence Animal Recognition System, Bohan Zhang, Xu Cao, Jeremy Straub, Eunjin Kim Apr 2015

Artificial Intelligence Animal Recognition System, Bohan Zhang, Xu Cao, Jeremy Straub, Eunjin Kim

Jeremy Straub

Artificial Intelligence Animal recognition system can be widely used for chil-dren education, zoology database implement. It is known that existing animal classification system can be used to distinguish an animal fairly fast. For example mammals, reptiles, amphibians. Our goal is to implement an AI system which could eliminate the possibility by half or more for which animal the user is thinking by means of asking the player "the best" question for an animal property.


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 …


Pattern Recognition And Expert Systems For Microwave Wireless Power Transmission Failure Prevention, Cameron Kerbaugh, Allen Mcdermott, Jeremy Straub, Eunjin Kim Apr 2015

Pattern Recognition And Expert Systems For Microwave Wireless Power Transmission Failure Prevention, Cameron Kerbaugh, Allen Mcdermott, Jeremy Straub, Eunjin Kim

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].


Pattern Recognition For Detecting Failures In Space Solar Power Systems, Allen Mcdermott, Cameron Kerbaugh, Jeremy Straub, Eunjin Kim Apr 2015

Pattern Recognition For Detecting Failures In Space Solar Power Systems, Allen Mcdermott, Cameron Kerbaugh, Jeremy Straub, Eunjin Kim

Jeremy Straub

This poster covers work relating to the use of expert systems and pattern recognition to attempt to identify, detect and prospectively stop patterns of activity that could potentially lead to failure of a space solar power (SSP) system. A database-based expert system has is presented to identify patterns, which can be used to determine whether a power beam could hit a unintend- ed target and potentially cause a calamity. This has been implemented via a facts-rule network via which supplied and collected facts and a rule set is used to de- termine whether the system is operating correctly (from a …


Detecting Failures In Space Solar Power Systems With Pattern Recognition, Allen Mcdermott, Cameron Kerbaugh, Jeremy Straub Apr 2015

Detecting Failures In Space Solar Power Systems With Pattern Recognition, Allen Mcdermott, Cameron Kerbaugh, Jeremy Straub

Jeremy Straub

This poster covers work relating to the use of expert systems and pattern recognition to attempt to identify, detect and prospectively stop patterns of activity that could potentially lead to failure of a space solar power (SSP) system. A database-based expert system has is presented to identify patterns, which can be used to determine whether a power beam could hit a unintend-ed target and potentially cause a calamity. This has been implemented via a facts-rule network via which supplied and collected facts and a rule set is used to de-termine whether the system is operating correctly (from a holistic perspective). …


Scheduling Algorithm Development For An Open Source Software Spacecraft, Calvin Bina, Jeremy Straub, Ronald Marsh Mar 2015

Scheduling Algorithm Development For An Open Source Software Spacecraft, Calvin Bina, Jeremy Straub, Ronald Marsh

Jeremy Straub

The OpenOrbiter project at the University of North Dakota is working to develop a set of designs for a CubeSat class spacecraft as well as a working, modular collection of open source code that can be used by other CubeSat projects as a starting point for development. The availability of these designs and this codebase should foster accelerated development for other CubeSat projects, allowing those projects to focus their effort on their own application area, instead of reinventing the proverbial wheel. One aspect of this is to implement a task scheduler which will run on a Raspberry Pi flight computer …


Swarm Intelligence, A Blackboard Architecture And Local Decision Making For Spacecraft Command, Jeremy Straub Mar 2015

Swarm Intelligence, A Blackboard Architecture And Local Decision Making For Spacecraft Command, Jeremy Straub

Jeremy Straub

Control of a multi-spacecraft constellation is a topic of significant inquiry, at present. This paper presents and evaluates a command architecture for a multi-spacecraft mission. It combines swarm techniques with a decentralized / local decision making architecture (which uses a set of shared blackboards for coordination) and demonstrates the efficacy of this approach. Under this approach, the Blackboard software architecture is used to facilitate data sharing between craft as part of a resilient hierarchy and the swarm techniques are used to coordinate activity. The paper begins with an overview of prior work on the precursor command technologies and then presents …