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School of Interactive Computing Technical Report Series

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    Statically Stable Assembly Sequence Generation for Many Identical Blocks
    (Georgia Institute of Technology, 2007-10-16) Wolff, Sebastien Jean ; Ebert-Uphoff, Imme ; Lipkin, Harvey
    This work develops optimal assembly sequences for modular building blocks. The underlying concept is that an automated device could take a virtual shape such as a CAD file, and decide how to physically build the shape using simple, identical building blocks. The primary focus of this work is the development of methods for generating assembly sequences in a time-feasible manner that ensure static stability at each step of the assembly. This is accomplished by a multi-hierarchical rule-based approach, consisting of a set of low-level, mid-level and high-level assembly rules. Both high-level and mid-level assembly rules are primarily based on static considerations. The best performing rules are presented and their behavior is analyzed.
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    Measuring Connection Strengths and Link Strengths in Discrete Bayesian Networks
    (Georgia Institute of Technology, 2007-01-29) Ebert-Uphoff, Imme
    This paper discusses measures for connection strength (strength between any two nodes) and link strength (strength along a specific edge) in Discrete Bayesian Networks. The typical application is to visualize the connections in a Bayesian Network learned from data to learn more about the inherent properties of the system (e.g. in earth sciences, biology or medicine). The paper focuses on measures based on mutual information and conditional mutual information. The goal is to provide an easy-toread document that gives clear reasoning for existing measures, provides some simple extensions (modified measures for different applications), discusses the limitations of the measures, provides enough interpretation to aid a scientist in selecting the most appropriate one and suggests some new uses for link strength.