Abstract:
The present invention relates to compositions comprising blends of alkenyl aromatic polymers such as styrenic polymers (i.e. PS and HIPS) and bio-based or biodegradable polymers (i.e. PLA, PGA, PHA, PBS, PCL) compatibilized with styrene-based copolymers (i.e. styrene-ethylene-butylene-styrene (SEBS) block copolymers, maleated SEBS, styrene-maleic anhydride (SMA) copolymer, styrene-methyl methacrylate (SMMA) copolymer) or a mixture of two or more styrene-based copolymers such as SEBS and SMA. These novel compositions can be extruded and thermoformed to produce very low density food service and consumer foam articles such as plates, hinged lid containers, trays, bowls, and egg cartons with good mechanical properties.
Abstract:
An improved interface and algorithm(s) can be used to simplify and improve the process for locating an edge from a series of points in a point cloud. An interface can allow the user to select a hint point thought to be near an edge of interest, which can be used to generate an initial edge profile. An interface can allow the user to adjust the fit of the initial profile in cross-section, then can use that profile to generate a profile of the entire edge. A moving fit window can use a moving average to extend the edge and determine proper end locations. An interface then can display the results of the fit to the user and allow the user to adjust the fit, such as by adjusting the end points of the calculated edge. Such a process can be used to fit linear or curvilinear edges, and can fit a number of irregular shapes as well as regular shaped such as “v-shaped” edges.
Abstract:
A computer model of a physical structure (or object) can be generated using context-based hypothesis testing. For a set of point data, a user selects a context specifying a geometric category corresponding to the structure shape. The user specifies at least one seed point from the set that lies on a surface of the structure of interest. Using the context and point data, the system loads points in a region near the seed point(s), and determines the dimensions and orientation of an initial surface component in the context that corresponds to those points. If the selected component is supported by the points, that component can be added to a computer model of the surface. The system can repeatedly find points near a possible extension of the surface model, using the context and current surface component(s) to generate hypotheses for extending the surface model to these points. Well-supported components can be added to the surface model until the surface of the structure of interest has been modeled as far as is well-supported by the point data.
Abstract:
A train control system includes a plurality of control subsystems for installation in respective locomotives. At least one of the control subsystems is configurable as a lead control subsystem, and at least one other control subsystem is configurable as a remote control subsystem. Each control subsystem preferably comprises a radio transceiver, a first processor connected to the radio transceiver for communicating with at least one other control subsystem, an electronic brake valve connected to the first processor, and an electro-pneumatic controller connected to the first processor and the electronic brake valve, for interfacing to the air brake system of the train. The first processor preferably comprises a locomotive computer interface for performing both distributed power and electronic air brake functions in cooperation with the locomotive control computer. The distributed power functions may comprise at least one of tractive effort and dynamic braking functions. The electronic air brake functions preferably comprise at least one of automatic service braking, independent braking, and emergency braking.