Honeywell International Inc.

Vmware, Inc.

Hao Bai

Henry Chen

Tom Plocher

Hari Thiruvengada

Jian Geng Du

Paul Derby

Xiaoli Wang

Yajun-Edwin Zhang

Vicken Sarkissian

Liana Maria Kiff

Conrad Bruce Beaulieu

Yuping Wei

Yuan Ma

YiQun Yun

Henry Enyi Chen

Embodiments are described for placing a watermark over application windows in a desktop. For each application window that is opened in the desktop, the system can determine whether the application requires a watermark, for example, based on a predefined list that specifies which applications require watermarks. For each application window that requires a watermark, a uncovered watermark region can be calculated where the watermark will appear. An overlay can be placed over the application windows, for example in a top-level window that does not receive mouse and keyboard inputs, and the watermark can be drawn in the overlay over the location of the uncovered watermark region of each application. As a result, watermarks can be placed over a plurality of specified application windows in an efficient and convenient manner.

Per-window digital watermark for desktop applications

Apparatus and associated methods may relate to a system for predicting a respirator fit by comparing a respirator model in a deformed state to a specific facial model. In an illustrative example, an internal measurement may be calculated between an inside part of the respirator model and the facial model. The internal measurement may be compared against a predetermined threshold to determine a fit of the respirator model, for example. In various implementations, the internal measurement may be a distance and/or a volume between the respirator and facial model. In some implementations, a 3D representation of the respirator model may be displayed upon a 3D representation of the facial model. In some implementations, a color-coded facial display may characterize areas of comfort and discomfort with respect to the respirator model. For example, areas of comfort and discomfort may be objectively determined in view of an applied pressure by the respirator.

System and method for selecting a respirator

Devices, methods, and systems for generating an operational user interface for a building management system are described herein. One method includes generating a widget using geometrical information associated with a building information modeling object and relationship information associated with the building information modeling object, assigning a state variable to the widget by analyzing properties of the building information modeling object or an ontology definition of the building information modeling object, associating the state variable with a point from the building operation system by mapping the point to the state variable, and changing the state variable based on input received from a user.

Generating an operational user interface for a building management system

Apparatus and associated methods relate to determining a fit-quality metric for a mask/face combination based upon a calculated dead-space volume between a virtual mask and a virtual face virtually aligned so as to create an integrity seal circumscribing a mouth and nose region. In an illustrative embodiment, an interactive virtual fitting system may receive a three-dimensional (3D) virtual face associated with a person. The system may retrieve 3D models of various respirators selected by user determined criteria. The system may then compute a fit-quality metric for each of the retrieved 3D models. The potential wearer may then be presented with the metrics for review. The potential wearer may select a respirator based upon these computed metrics. A virtual fitting of many respirators may advantageously reduce the time needed for selecting a properly fitting respirator while simultaneously ensuring that the selected respirator may be comfortable and well fitting.

Virtual mask fitting system

Apparatus and associated methods may relate to a system for predicting a respirator fit by comparing a specific respirator model to a specific facial model in a dynamic position. In an illustrative example, one or more dynamic positions may be generated by actual user movement and/or simulated user movement. For example, a facial model may be generated by altering a static model in view of actual and/or simulated movements. In various implementations, a facial model may be compared against a variety of respirator models from a respirator model database. In some implementations, a 3D representation of the respirator model may be displayed upon a 3D representation of the facial model. In some implementations, a color-coded facial display may characterize areas of comfort and discomfort with respect to the respirator model. For example, areas of comfort and discomfort may be objectively determined in view of an applied pressure by the respirator.

A process for sensor placement and analysis using a virtual environment includes receiving into a computer processor a model of an area, a position in the model that represents a placement of a virtual sensor, and an orientation of the virtual sensor. A shadow map of the area is generated as a function of the position and orientation of the virtual sensor. The shadow map is used to determine one or more portions of the area that can be sensed by the virtual sensor. The area of the model that is covered as a function of the position and orientation of the virtual sensor is determined, and information relating to the area of the model that is covered as a function of the position and orientation of the virtual sensor is transmitted to an output device.

Sensor placement and analysis using a virtual environment

A system for automatically determining the placement of cameras receives data relating to a plurality of polygons. T polygons represent one or more of a surveillance area, a non-surveillance area, a blank area, and an obstacle. The system selects one or more initial cameras, including one or more initial camera positions, initial camera orientations, and initial camera features, wherein the initial camera positions and the initial camera orientations cause one or more fields of view of the initial cameras to cover at least a part of the surveillance area. The system alters one or more of a number of cameras, an orientation of the cameras, a location of the cameras, a type of the cameras, and a crossover of two or more cameras. The system uses a fitness function to evaluate all of the cameras and all of the camera positions, and selects one or more cameras and the locations and orientations of the one or more cameras as a function of the fitness function.

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Beijing, China

Hao Bai