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Capacity scaling and functional element redistribution within an in-building coax cable internet Access system

InactiveUS20020059634A1Promote economical capacity scaling and topological re-distributionApplication economicalError prevention/detection by using return channelBroadband local area networksCable Internet accessEase of Access
A set of system configurations adapted to provide data communications to and from a set of client modems connected to one or more central modems through a tree and branch network such as exists in buildings, hotels, multiple dwelling units and the like to distribute cable television signals to individual rooms. The set of one or more central modems is connected directly or indirectly to one or more networks such as the Internet. Optionally, some components of this system can be placed at the cable television head-end for ease of access for maintenance.
Owner:ARRIS ENTERPRISES LLC

Scaling UPnP v1.0 device eventing using peer groups

Disclosed is a method for scaling and extending the reach of UPnP device discovery and eventing by leveraging the use of a peer-to-peer network infrastructure. Peer-to-peer networking allows for the organization of a set of nodes into a group for efficient exchange of information and the group has an efficient and scalable mechanism for flooding data to all members in it. In one embodiment one PC in a peer group can receive device discovery announcements and subscribe for device event notifications. A discovery proxy and an eventing proxy running on the PC package the announcement and / or notification in a record and proceed to flood it to the group. The group flooding semantics route the notification to the subscribed controllers, which can subsequently take suitable action. Ultimately, this method produces a result whereby device discovery and eventing tasks can be fulfilled by locating the closest peer and obtaining the device announcements and notifications from that peer.
Owner:MICROSOFT TECH LICENSING LLC

Method and apparatus for detecting objects from terrestrial based mobile mapping data

A method of detecting objects from terrestrial based mobile mapping data is disclosed, wherein the terrestrial based mobile mapping data has been captured by way of a terrestrial based mobile mapping vehicle driving on a road having a driving direction, the mobile mapping data including laser scanner data, source images obtained by at least one camera and position and orientation data of the vehicle, wherein the laser scanner data includes laser points, each laser point having associated position and orientation data, and each source image comprises associated position and orientation data. In at least one embodiment, the method includes: retrieving a position and orientation of the vehicle; filtering the laser scanner data in dependence of the position and orientation of the vehicle to obtain laser points corresponding to regions of interest; retrieving a source image associated with the position and orientation of the vehicle; mapping the laser points corresponding to regions of interest to image coordinates of the source image to generate a recognition mask; combining the recognition mask and the source image to obtain candidate 3D images representative of possible objects within the regions of interest; and, detecting a group of objects from the candidate 3D images. By combining image recognition and laser scanner recognition the detection rate can be increased to a very high percentage, thereby substantially reducing human effort. Furthermore, the generating of regions of interest in the laser data, enables a significant reduction of the processing power and / or the processing time needed to detect the objects in the images.
Owner:TOMTOM GLOBAL CONTENT

Tile based precision rasterization in a graphics pipeline

In a raster stage of a graphics processor, a method for tile based precision rasterization. The method includes receiving a graphics primitive for rasterization in a raster stage of a graphics processor and rasterizing the graphics primitive at a first level precision to generate a plurality of tiles of pixels. The tiles are then rasterized at a second level precision to generate covered pixels. The covered pixels are then output for rendering operations in a subsequent stage of the graphics processor.
Owner:NVIDIA CORP
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