2503 results about "Time efficient" patented technology

A method and apparatus for managing a touch-screen device is provided herein. During operation UI elements are arranged and re-arrange dynamically and based on user's current contact locations on the touch screen. Preferably, the contact positions correspond to a user's finger positions so that the UI elements are automatically placed where a person's fingers make contact with the touch screen. Because the UI elements on the touch screen always “look for” the user's fingers, instead of the user looking for them, it becomes much easier and more time-efficient for a user to find a particular UI element.

The present invention pertains to a system (or engine) that monitors a system's performance during a surgery, analyzes that performance, and makes recommendations to the user / surgeon for changes in his settings and / or programs that will result in more effective and time-efficient surgeries. Further, the system may comprise one or more components, including, but not limited to, a user preference filter, a surgical circumstances filter, a surgical instrument, a real time data collection module, and an analysis module.

A fully automatic, computationally efficient segmentation method of video employing sequential clustering of sparse image features. Both edge and corner features of a video scene are employed to capture an outline of foreground objects and the feature clustering is built on motion models which work on any type of object and moving / static camera in which two motion layers are assumed due to camera and / or foreground and the depth difference between the foreground and background. Sequential linear regression is applied to the sequences and the instantaneous replacements of image features in order to compute affine motion parameters for foreground and background layers and consider temporal smoothness simultaneously. The Foreground layer is then extracted based upon sparse feature clustering which is time efficient and refined incrementally using Kalman filtering.

Instead of constructing a full multi-dimensional look up table as a model to find the critical dimension or other parameters in scatterometry, regression or other optimized estimation methods are employed starting from a “best guess” value of the parameter. Eigenvalues of models that are precalculated may be stored and reused later for other structures having certain common characteristics to save time. The scatterometric data that is used to find the value of the one or more parameter can be limited to those at wavelengths that are less sensitive to the underlying film characteristics. A model for a three-dimensional grating may be constructed by slicing a representative structure into a stack of slabs and creating an array of rectangular blocks to approximate each slab. One dimensional boundary problems may be solved for each block which are then matched to find a two-dimensional solution for the slab. A three-dimensional solution can then be constructed from the two-dimensional solutions for the slabs to yield the diffraction efficiencies of the three-dimensional grating. This model can then be used for finding the one or more parameters of the diffracting structure in scatterometry. Line roughness of a surface can be measured by directing a polarized incident beam in an incident plane normal to the line grating and measuring the cross-polarization coefficient. The value of the one or more parameters may then be supplied to a stepper or etcher to adjust a lithographic or etching process.