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Showing 1 to 9 of 9 for “"Graph grammar"”.

  1. A graph grammar approach to concurrent programming

    We propose the use of graph grammars as a theory to organize programming of highly-concurrent systems. To understand the interactions among components of a concurrent system it is useful to visualize the system as dynamically changing graphs where the nodes represent concurrent components and the …

    uiuc Repository record for A graph grammar approach to concurrent programming (opens in a new tab)

  2. Assembly sequencing through graph reasoning : graph grammar rules for assembly planning

    … to automating assembly planning utilizing graph grammars. Computational geometric reasoning is used to produce a label rich graph from a CAD model. This graph is then modified by graph grammar rules to produce candidate assembly sequences which are run in conjunction with a tree search …

    texas Repository record for Assembly sequencing through graph reasoning : graph grammar rules for assembly planning (opens in a new tab)

  3. Aminormotiffinder - a graph grammar based tool to effectively search a minor motifs in 3D RNA molecules

    … motifs with large structure variations. Here a "graph rewriting" based method is proposed to identify motifs in real three dimensional structures. The unique encoding of A Minor Searcher takes into consideration the non canonical base pairs and also multipairing of RNA structural motifs. The …

    njit Repository record for Aminormotiffinder - a graph grammar based tool to effectively search a minor motifs in 3D RNA molecules (opens in a new tab)

  4. Automated assembly sequence generation using a novel search scheme for handling parallel sub-assemblies

    … is represented or modeled as a label-rich graph. The assembly sequences are generated using graph grammar rules that are applied on the graph. The sequences are stored in a search tree and to find an optimal sequence multiple evaluation criteria like time, subassembly stability and …

    texas Repository record for Automated assembly sequence generation using a novel search scheme for handling parallel sub-assemblies (opens in a new tab)

  5. Software Library for Generative Model Applications

    … the model as DEG, short for Data-Efficient Graph Grammar Learning for Molecular Generation [16]. DEG is capable of creating synthesizable molecules from small amounts of data, making it quite attractive for companies looking for practical methods to explore new molecules. As an overarching …

    mit Repository record for Software Library for Generative Model Applications (opens in a new tab)

  6. An Integrated Design Pipeline for Tactile Sensing Robotic Manipulators

    … open-source components by applying predefined graph grammar rules. The end result is an intuitive design paradigm that allows the creation of new virtual designs of manipulators in a matter of minutes. Our framework allows the designer to fine-tune the manipulator’s shape through cage-based …

    mit Repository record for An Integrated Design Pipeline for Tactile Sensing Robotic Manipulators (opens in a new tab)

  7. Computational Design and Control of Autonomous Underwater Vehicles

    … present an approach in the form of a automatic graph grammarbased AUV design framework that produces locally optimal AUV designs (including structure and control) based on a task specification. Our framework randomly samples the space of AUV topologies defined by the graph grammar and …

    mit Repository record for Computational Design and Control of Autonomous Underwater Vehicles (opens in a new tab)

  8. Graph Mining Algorithms for Memory Leak Diagnosis and Biological Database Clustering

    Large graph-based datasets are common to many applications because of the additional structure provided to data by graphs. Patterns extracted from graphs must adhere to these structural properties, making them a more complex class of patterns to identify. The role of graph mining is to efficiently …

    vt Repository record for Graph Mining Algorithms for Memory Leak Diagnosis and Biological Database Clustering (opens in a new tab)