We introduce a class of biologically−motivated algorithms for generating leaf venation patterns. These algorithms simulate the interplay between three processes: (1) development of veins towards hormone (auxin) sources embedded in the leaf blade; (2) modification of the hormone source distribution by the proximity of veins; and (3) modification of both the vein pattern and source distribution by leaf growth. These processes are formulated in terms of iterative geometric operations on sets of points that represent vein nodes and auxin sources. In addition, a vein connection graph is maintained to determine vein widths. The effective implementation of the algorithms relies on the use of space subdivision (Voronoi diagrams) and time coherence between iteration steps. Depending on the specification details and parameters used, the algorithms can simulate many types of venation patterns, both open (tree−like) and closed (with loops). Applications of the presented algorithms include texture and detailed structure generation for image synthesis purposes, and modeling of morphogenetic processes in support of biological research. Reference Modeling and visualization of leaf venation patterns AbstractWe introduce a class of biologically-motivated algorithms for generating leaf venation patterns. These algorithms simulate the interplay between three processes: (1) development of veins towards hormone (auxin) sources embedded in the leaf blade; (2) modification of the hormone source distribution by the proximity of veins; and (3) modification of both the vein pattern and source distribution by leaf growth. These processes are formulated in terms of iterative geometric operations on sets of points that represent vein nodesandauxinsources.Inaddition,aveinconnectiongraphis maintained to determine vein widths. The effective implementation of the algorithms relies on the use of space subdivision (Voronoi diagrams) and time coherence between iteration steps. Depending on the specification details and parameters used, the algorithms can simulate many types of venation patterns, both open (tree-like) and closed (with loops). Applications of the presented algorithms include texture and detailed structure generation for image synthesis purposes, and modeling of morphogenetic processes in support of biological research.

We introduce a class of biologically−motivated algorithms for generating leaf venation patterns. These algorithms simulate the interplay between three processes: (1) development of veins towards hormone (auxin) sources embedded in the leaf blade; (2) modification of the hormone source distribution by the proximity of veins; and (3) modification of both the vein pattern and source distribution by leaf growth. These processes are formulated in terms of iterative geometric operations on sets of points that represent vein nodes and auxin sources. In addition, a vein connection graph is maintained to determine vein widths. The effective implementation of the algorithms relies on the use of space subdivision (Voronoi diagrams) and time coherence between iteration steps. Depending on the specification details and parameters used, the algorithms can simulate many types of venation patterns, both open (tree−like) and closed (with loops). Applications of the presented algorithms include texture and detailed structure generation for image synthesis purposes, and modeling of morphogenetic processes in support of biological research. Reference Modeling and visualization of leaf venation patterns AbstractWe introduce a class of biologically-motivated algorithms for generating leaf venation patterns. These algorithms simulate the interplay between three processes: (1) development of veins towards hormone (auxin) sources embedded in the leaf blade; (2) modification of the hormone source distribution by the proximity of veins; and (3) modification of both the vein pattern and source distribution by leaf growth. These processes are formulated in terms of iterative geometric operations on sets of points that represent vein nodesandauxinsources.Inaddition,aveinconnectiongraphis maintained to determine vein widths. The effective implementation of the algorithms relies on the use of space subdivision (Voronoi diagrams) and time coherence between iteration steps. Depending on the specification details and parameters used, the algorithms can simulate many types of venation patterns, both open (tree-like) and closed (with loops). Applications of the presented algorithms include texture and detailed structure generation for image synthesis purposes, and modeling of morphogenetic processes in support of biological research.

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This paper is the third in a series of papers that describe a new plug-in for enabling the integration of the IntelliJ IDEA IDE with the JBoss application server. The JBoss plug-in was first conceived and implemented by Martin Fuhrer at Fuhrer Engineering.Part 1 discussed how to download and install the new JBoss plug-in, allowing the JBoss application server to integrate into the IntelliJ IDEA IDE development environment. It then demonstrated how to create a project with EJBs and web modules.Part 2 discussed how to create a session bean in our project. The session bean contained the implementation for the functionality that we wish to expose to the client. This paper continues to build upon our project by describing how to add a servlet for accessing the EJB methods implemented previously, and then how to create an application module for deployment to the JBoss application server. CREATING A SERVLETThis section describes how to create a servlet that will make use of the EJB that was created in part 2 of this paper. One of the critical elements will be setting up the execution environment of the servlet in order to make the EJB available. This is accomplished by declaring a reference in the web module's deployment descriptor to the EJB's home interface. Once again, IntelliJ IDE wizards provide a GUI for the synthesis of the needed resources. During runtime, the servlet will use JNDI to look up the interface and create an object that can be used to invoke the EJB methods.