Now showing items 21-40 of 532

    • Analysis of unsaturated materials hydration incorporating the effect of thermo-osmotic flow 

      Sanchez, Marcelo; Arson, Chloé; Gens, Antonio; Aponte, Fernando (Georgia Institute of Technology, 2015-10)
      The geological disposal of a high level radioactive waste relies in a system composed of engineered and geological barriers. The soils and rocks involved in the design of this type of solution are generally initially ...
    • An Analytical Model of the CAN Bus for Online Schedulability Test 

      Shi, Zhenwu; Zhang, Fumin (Georgia Institute of Technology, 2012-12-04)
      Controller area network (CAN) is a prioritybased bus that supports real-time communication. Existing schedulability analysis for the CAN bus is peformed at the design stage, by assuming that all message information ...
    • Anisotropic Damage Models for Geomaterials: Theoretical and Numerical Challenges 

      Xu, Hao; Arson, Chloé (Georgia Institute of Technology, 2013-08)
      A new anisotropic damage model for rock is formulated and discussed. Flow rules are derived with the energy release rate conjugate to damage, which is thermodynamically consistent. Drucker–Prager yield function is adapted ...
    • Anticipating Human Actions for Collaboration in the Presence of Task and Sensor Uncertainty 

      Hawkins, Kelsey P.; Bansal, Shray; Vo, Nam N.; Bobick, Aaron F. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2014-06)
      A representation for structured activities is developed that allows a robot to probabilistically infer which task actions a human is currently performing and to predict which future actions will be executed and when they ...
    • Anticipation in Robot Motion 

      Gielniak, Michael J.; Thomaz, Andrea L. (Georgia Institute of TechnologyInstitute of Electrical & Electronics Engineers, 2011)
      Robots that display anticipatory motion provide their human partners with greater time to respond in interactive tasks because human partners are aware of robot intent earlier. We create anticipatory motion autonomously ...
    • Application of a particle, momentum and energy balance model to calculate the structure of the edge pedestal in DIII-D 

      Stacey, Weston M.; Groebner, Richard J. (Georgia Institute of TechnologyAmerican Institute of Physics, 2005-04)
      A calculation of edge density and temperature profiles based on "classical" physics - particle, momentum and energy balance, heat conduction closure relations, neutral particle transport - yielded a pedestal structure ...
    • Applying behavioral strategies for student engagement using a robotic educational agent 

      Brown, LaVonda; Kerwin, Ryan; Howard, Ayanna M. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2013-10)
      Adaptive learning is an educational method that utilizes computers as an interactive teaching device. Intelligent tutoring systems, or educational agents, use adaptive learning techniques to adapt to each student’s needs ...
    • Applying gaming principles to virtual environments for upper extremity therapy games 

      Nixon, Mason; Howard, Ayanna M. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2013-10)
      Home-based care modalities may yield many advantages in therapy and rehabilitation. Virtual systems for rehabilitation are an emerging technology that may be used to enhance the effectiveness of home-based care while ...
    • Approximate Manipulability of Leader-Follower Networks 

      Kawashima, Hiroaki; Egerstedt, Magnus B. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2011-12)
      We introduce the notion of manipulability to leader-follower networks as a tool to analyze how effective inputs injected at a leader node are in terms of their impact on the movements of the follower nodes, as a function ...
    • Artificial neural network control of a nonminimum phase, single-flexible-link 

      Register, Andrew H.; Alford, Cecil Orie; Book, Wayne John (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 1996-04)
      A single-link flexible manipulator with a rotary actuator at one end and a mass at the other is modeled using the Lagrangian method coupled with an assumed modes vibration model. A SIMO state space model is developed by ...
    • ASTROS: A 5DOF Experimental Platform for Research in Spacecraft Proximity Operations 

      Tsiotras, Panagiotis (Georgia Institute of Technology, 2014-01)
      In this paper we summarize the technical characteristics of the Autonomous Space-craft Testing of Robotic Operations in Space (ASTROS) facility at the School of Aerospace Engineering at Georgia Tech. The experimental ...
    • The Asymmetric Sinistral/Dextral Markov-Dubins Problem 

      Bakolas, Efstathios; Tsiotras, Panagiotis (Georgia Institute of TechnologyIEEE, 2009)
      We consider a variation of the classical Markov-Dubins problem dealing with curvature-constrained, shortest paths in the plane with prescribed initial and terminal positions and tangents, when the lower and upper bounds ...
    • An Asymmetric Version of the Two Car Pursuit-Evasion Game 

      Exarchos, Ioannis; Tsiotras, Panagiotis (Georgia Institute of Technology, 2014-12)
      n this paper we consider a differential game of pursuit and evasion involving two players with constant, but different, speeds, and different maneuverability constraints. Specifically, the evader has limited maneuverability, ...
    • Atlanta World: An Expectation Maximization Framework for Simultaneous Low-level Edge Grouping and Camera Calibration in Complex Man-made Environments 

      Schindler, Grant; Dellaert, Frank (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2004-06)
      Edges in man-made environments, grouped according to vanishing point directions, provide single-view constraints that have been exploited before as a precursor to both scene understanding and camera calibration. A ...
    • Augmenting Bag-of-Words: Data-Driven Discovery of Temporal and Structural Information for Activity Recognition 

      Bettadapura, Vinay; Schindler, Grant; Plötz, Thomas; Essa, Irfan A. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2013-06)
      We present data-driven techniques to augment Bag of Words (BoW) models, which allow for more robust modeling and recognition of complex long-term activities, especially when the structure and topology of the activities ...
    • Auto-Calibration Based Control for Independent Metering of Hydraulic Actuators 

      Opdenbosch, Patrick; Sadegh, Nader; Enes, Aaron R.; Book, Wayne John (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2011-05)
      This paper describes a novel auto-calibration state-trajectory-based control method and its application to electronic flow control for independent metering systems. In this paper, the independent metering architecture that ...
    • Automatic Generation of Persistent Formations for Multi-Agent Networks Under Range Constraints 

      Smith, Brian Stephen; Egerstedt, Magnus B.; Howard, Ayanna M. (Georgia Institute of TechnologyInstitute of Electrical and Electronics EngineersSpringer Verlag, 2009-06)
      In this paper we present a collection of graph-based methods for determining if a team of mobile robots, subjected to sensor and communication range constraints, can persistently achieve a specified formation. What we ...
    • Automation of the Bird Shoulder Joint Deboning 

      Zhou, Debao; Holmes, Jonathan; Holcombe, Wiley; McMurray, Gary (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2007-09)
      Poultry deboning processing is one of the largest employers of people in the United States. It involves mainly manual processes with only limited use of fixed automation. The main difficulty in this task is the unstructured ...
    • Autonomous Active Learning of Task-Relevant Features for Mobile Manipulation 

      Nguyen, Hai; Kemp, Charles C. (Georgia Institute of Technology, 2011)
      We present an active learning approach that enables a mobile manipulator to autonomously learn task-relevant features. For a given behavior, our system trains a Support Vector Machine (SVM) that predicts the 3D locations ...
    • BAMS Method: Theory and Simulations 

      Vidakovic, Brani; Ruggeri, Fabrizio (Georgia Institute of TechnologyPublished by: Springer on behalf of the Indian Statistical Institute. Article Stable URL: http://www.jstor.org/stable/25053173, 2001-08)
      In this paper we address the problem of model-induced wavelet shrinkage. Assuming the independence model according to which the wavelet coefficients are treated individually, we discuss a level-adaptive Bayesian model in ...