Theodore W. Manikas

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—System security continues to be of increasing importance. To effectively address both natural and intentional threats to large systems, the threats must be cataloged and analyzed. Extremely large and complex systems can have an accordingly large number of threat scenarios. Simply listing the threats and devising countermeasures for each is ineffective and(More)
This paper presents results of our work in development of a genetic algorithm based path-planning algorithm for local obstacle avoidance (local feasible path) of a mobile robot in a given search space. The method tries to find not only a valid path but also an optimal one. The objectives are to minimize the length of the path and the number of turns. The(More)
This study presents an evolutionary computation system that can generate grid robot path planning problems. An evolvable cellular representation that specifies how to build a PPP is used. Also presented is a technique for taxonomizing path planning problems so that the vast number of problems that can be generated with the evolutionary computation system(More)
—Design for medical system reliability has become an area of increasing importance. Medical system threats, which include system failures as well as malicious attacks, often have interdependent events that can adversely affect system operation. To address these problems, we build upon our previous threat cataloging methodology such that a large number of(More)
during the summers of 2007 and 2008. The Academy participants included students having just completed 7th to 11th grade and teachers from middle school through high school. The students and teachers participated in team-building, professional development , and technical activities designed to teach them about the engineering profession and the field of(More)
—In a large system, such as a water, gas, or electrical distribution system, degraded performance due to failures of components can be modeled as a set of discrete states interconnected by edges with weights that represent conditional probabilities. To establish such a model, we compute the conditional probabilities with multi-valued decision diagrams(More)
Multi-Valued (MV) fault trees can be used to represent a variety of probability distributions characterizing system-related events. Representing MV fault trees in the form of multiple-valued decision diagrams (MDD) provides a means for representing overall system probability distributions and are constructed from structure functions. MDD edges are annotated(More)