Sudheendra
Sudheendra Hangal, Stanford, CA US
Patent application number | Description | Published |
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20100198799 | Method and Apparatus for Software Simulation - A software simulation method and program storage device for software defect detection and obtaining insight into software code is disclosed, where simulation consists of executing target software program code for multiple input values and multiple code paths at the same time, thus achieving 100% coverage over inputs and paths without actually running the target software. This allows simulation to detect many defects that are missed by traditional testing tools. The simulation method runs a plurality of algorithms where a plurality of custom defined and pre-defined rules are verified in target software to find defects and obtain properties of the software code. | 08-05-2010 |
Sudheendra Lakshmana, Davis, CA US
Patent application number | Description | Published |
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20120286203 | GOLD COATING OF RARE EARTH NANO-PHOSPHORS AND USES THEREOF - Novel core-shell nanoparticles comprising a phosphorescent core and metal shell as well as methods of synthesizing and using said core-shell nanoparticles are provided. In a preferred embodiment, the phosphorescent core comprises an upconverting phosphor and the shell comprises gold. | 11-15-2012 |
20130343997 | Metal Coating of Rare Earth Nano-Phosphors and Uses Thereof - Core-shell nanoparticles comprises a phosphorescent core and metal shell comprising at least two metals The phosphorescent core may comprise an up converting phosphor. The phosphorescent core may comprise a trivalent rare earth cation. The phosphorescent core further may comprise a monovalent alkali metal. The phosphorescent core may optionally comprises a second and also optionally a third trivalent rare earth cation. | 12-26-2013 |
Sudheendra Vijayanarasimhan, Mountain View, CA US
Patent application number | Description | Published |
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20160070962 | Selecting and Presenting Representative Frames for Video Previews - A computer-implemented method for selecting representative frames for videos is provided. The method includes receiving a video and identifying a set of features for each of the frames of the video. The features including frame-based features and semantic features. The semantic features identifying likelihoods of semantic concepts being present as content in the frames of the video. A set of video segments for the video is subsequently generated. Each video segment includes a chronological subset of frames from the video and each frame is associated with at least one of the semantic features. The method generates a score for each frame of the subset of frames for each video segment based at least on the semantic features, and selecting a representative frame for each video segment based on the scores of the frames in the video segment. The representative frame represents and summarizes the video segment. | 03-10-2016 |