Abstract: The present invention is a miniature camera robot which can be placed entirely within an open space such as an abdominal cavity. The instant camera robot has pan and tilt capabilities, an adjustable focus camera, and a support component for supporting the robot body. In particular embodiments, the camera robot further contains a light source for illumination and a handle to position the camera robot. A system and method for using the instant camera robot are also provided.
Type:
Grant
Filed:
April 13, 2006
Date of Patent:
March 4, 2008
Assignee:
Board of Regents of the University of Nebraska
Inventors:
Dmitry Oleynikov, Shane M. Farritor, Mark E. Rentschler, Stephen R. Platt, Jason Dumpert
Abstract: A vacuum grooming tool is disclosed that includes a vacuum nozzle attachable to a vacuum source and has a hollow body with a mouth opening. A grooming device selected from a variety of standard animal grooming hand tools, such as a shedding blade, rake, or de-matting tool, may span the mouth opening. The grooming device is positioned such that the airflow created by the vacuum source flows over at least one side of the grooming device. A vacuum cleaning tool for removing any animal hair from a grooming tool is also disclosed. A vacuum plenum of the cleaning tool is attachable to a vacuum source and has an opening for cleaning the grooming tool in one pass. The cleaning tool can be mounted on a stationary support and may also include a pivot-action mechanism that connects the vacuum grooming tool or the cleaning tool to the vacuum source.
Abstract: A method for analyzing traffic in a system (100) having a plurality of nodes (110, 120, 130) is provided. The method includes forecasting a total amount of traffic transmitted to and from each of the plurality of nodes (110, 120, 130) based on observed traffic statistics and an estimated growth. The method also includes generating a traffic matrix using the observed traffic statistics and the forecasted traffic associated with each of the plurality of nodes (110, 120, 130). The method may also include using the traffic matrix to determine projected traffic between each of the plurality of nodes (110, 120, 130).