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Showing 1 to 8 of 8 for “"graphical framework"”.

  1. A graphical framework for component selection in mechatronic design of robotic systems

    … At its core, this thesis contributes a framework to support component selection in the design of mechatronic actuators, supporting a process where step-by-step guidance is offered through concept and embodiment design stages. Underlying the core framework and its process guidance, a …

    strathclyde Repository record for A graphical framework for component selection in mechatronic design of robotic systems (opens in a new tab)

  2. Context for semantic similarity calculation in scenario template creation

    … similarities for PAT clustering, I propose a graphical framework, using a novel core algorithm called Context Sensitive Clustering (CSC). Experiments show that the proposed algorithm outperforms baseline systems in all the scenarios tested.

    nus Repository record for Context for semantic similarity calculation in scenario template creation (opens in a new tab)

  3. Kinematic Chain Monoids for Real-Time Kinodynamic Trajectory Optimization in Legged Robots

    Dynamics Factor Graph (DFG) is a graphical framework to solve dynamics problems and kinodynamic motion planning problems with full consideration of whole-body dynam- ics and contacts. In this thesis I will present DFG and explain the different variables and constraints being used in legged robot …

    gatech Repository record for Kinematic Chain Monoids for Real-Time Kinodynamic Trajectory Optimization in Legged Robots (opens in a new tab)

  4. A power interval perspective on additive white Gaussian noise (AWGN) channels

    … obtain these properties directly, we introduce a graphical framework called the power diagram. Based on graphical manipulations in this framework, our results on N-user multi-access channels include the following: 1. simplifying the achievability condition to an algorithm requiring 0 (N In N) …

    mit Repository record for A power interval perspective on additive white Gaussian noise (AWGN) channels (opens in a new tab)

  5. New design companions opening up the process through self-made computation

    … their influence in design workflows and a graphical framework to better compare them. Critical analysis reveals a common structure to tailor a creative and explorative design workflow. Its advantages and limitations are exposed to guide designers into alternative computational methods for …

    mit Repository record for New design companions opening up the process through self-made computation (opens in a new tab)

  6. A Graphical Representation Framework for Enhanced Visualization of Construction Control Processes

    Graphical representation for construction control information--processes such as scheduling, budgeting and RFIs--follows no formalized method. Many graphics neglect relevant information necessary to highlight trends in or relationships between processes. The principles of data graphics offer visual …

    vt Repository record for A Graphical Representation Framework for Enhanced Visualization of Construction Control Processes (opens in a new tab)

  7. Optimizing Rough Set Flow Graph Inference

    … ow graphs (RSFGs), introduced by Pawlak, are a graphical framework for managing uncertainty. Pawlak also investigated an accompanying inference algorithm to answer a query in a RSFG. Pawlak's algorithm eliminates variables all at once, which is computationally expensive. A more efficient …

    regina Repository record for Optimizing Rough Set Flow Graph Inference (opens in a new tab)

  8. Graphical representations of Ising and Potts models: stochastic geometry of the quantum Ising model and the space-time Potts model

    … These models in turn are part of the unifying framework of the random-cluster representation, a model for random graphs which was first studied by Fortuin and Kasteleyn in the 1970’s. The random-cluster representation has proved extremely useful in proving important facts about the Ising model …

    cambridge Repository record for Graphical representations of Ising and Potts models: stochastic geometry of the quantum Ising model and the space-time Potts model (opens in a new tab)