Abstract: Disclosed are platforms for communicating among one or more otherwise independent systems involved in controlling functions of buildings or other sites having switchable optical devices deployed therein. Such independent systems include a window control system and one or more other independent systems such as systems that control residential home products (e.g., thermostats, smoke alarms, etc.), HVAC systems, security systems, lighting control systems, and the like. Together the systems control and/or monitor multiple features and/or products, including switchable windows and other infrastructure of a site, which may be a commercial, residential, or public site.

Abstract: A computer-implemented method of determining a location of a mobile device is provided. The method can include receiving inertial data generated at the mobile device, the inertial data including a plurality of samples taken at different times, segmenting the inertial data into pseudo-independent windows, wherein each pseudo-independent window can include a plurality of the samples and wherein one or more initial states for each pseudo-independent window are treated as unknown, estimating a change in navigation state over each pseudo-independent window using the samples of inertial data, and summing the changes in the navigation states over the pseudo-independent windows so as to determine the location of the mobile device.

Abstract: A computer-implemented method of determining the location of a mobile device comprising a camera. The method comprises the steps of capturing, using the camera, a sequence of images over a period of time; for pairs of consecutive images from the sequence of images, determining, using a first neural network, features indicative of the motion of the device between the time the first image of the pair of images was captured and the time the second image of the pair of images was captured; for a sequence of consecutive images, determining, using a second neural network, features indicative of the location of the device from the features determined by the first neural network; and for a sequence of consecutive images, determining the location of the device from the features determined by the second neural network.

Abstract: An image processing system configured to obtain a mesh representation of a scene, wherein the mesh representation comprises a plurality of polygons defined by respective vertices associated with an in-plane position, the in-plane position being in a plane comprising a first dimension and a second dimension, and the vertices having an associated vertex depth value in a third dimension different from the first dimension and the second dimension. The image processing system comprises an in-plane position estimation network configured to process image data representative of an image of the scene to estimate the in-plane positions associated with respective vertices of the mesh representation. The image processing system further comprises a depth estimation engine configured to process the in-plane positions and the image data to estimate the associated vertex depth values for the respective vertices of the mesh representation.

Abstract: A computer-implemented method of determining the location of a mobile device comprising a camera and at least one inertial sensor. A sequence of images are captured over a period of time, and a first neural network determines features indicative of the motion of the device from pairs of consecutive images. Data indicative of the motion of the device is captured, and a second neural network determines features indicative of the motion of the device from the data. A third neural network then determines features indicative of the location of the device from the features determined by the first neural network and the second neural network. The location of the device is the determined from the features determined by the third neural network.

Abstract: A computer implemented method, computer system, and computer program product are provided for cloning a webpage. Webpage assets for a webpage are received. Using the webpage assets, the webpage is rendered for display within a graphical user interface of a webpage cloning system. Responsive to rendering the webpage, a thin-layer clone of the webpage as rendered for display in the graphical user interface is recorded. An off-line demonstration of the webpage is then generated from the thin-layer clone.

Abstract: A computer implemented method, computer system, and computer program product are provided for cloning a webpage. Webpage assets for a webpage are received. Using the webpage assets, the webpage is rendered for display within a graphical user interface of a webpage cloning system. Responsive to rendering the webpage, a thin-layer clone of the webpage as rendered for display in the graphical user interface is recorded. An off-line demonstration of the webpage is then generated from the thin-layer clone.

Abstract: A computer-implemented method of determining the location of a mobile device comprising a camera and at least one inertial sensor. A sequence of images are captured over a period of time, and a first neural network determines features indicative of the motion of the device from pairs of consecutive images. Data indicative of the motion of the device is captured, and a second neural network determines features indicative of the motion of the device from the data. A third neural network then determines features indicative of the location of the device from the features determined by the first neural network and the second neural network. The location of the device is the determined from the features determined by the third neural network.

Abstract: Examples are described that process image data to predict a thickness of objects present within the image data. In one example, image data for a scene is obtained, the scene featuring a set of objects. The image data is decomposed to generate input data for a predictive model. This may include determining portions of the image data that correspond to the set of objects in the scene, where each portion corresponding to a different object. Cross-sectional thickness measurements are predicted for the portions using the predictive model. The predicted cross-sectional thickness measurements for the portions of the image data are then composed to generate output image data comprising thickness data for the set of objects in the scene.

Abstract: A computer-implemented method of determining the location of a mobile device comprising a camera. The method comprises the steps of capturing, using the camera, a sequence of images over a period of time; for pairs of consecutive images from the sequence of images, determining, using a first neural network, features indicative of the motion of the device between the time the first image of the pair of images was captured and the time the second image of the pair of images was captured; for a sequence of consecutive images, determining, using a second neural network, features indicative of the location of the device from the features determined by the first neural network; and for a sequence of consecutive images, determining the location of the device from the features determined by the second neural network.

Abstract: A method comprising applying an object recognition pipeline to frames of video data. The object recognition pipeline provides a mask output of objects detected in the frames. The method includes fusing the mask output of the object recognition pipeline with depth data associated with the frames of video data to generate a map of object instances, including projecting the mask output to a model space for the map of object instances using a camera pose estimate and the depth data. An object instance in the map of object instances is defined using surface-distance metric values within a three-dimensional object volume, and has an object pose estimate indicating a transformation of the object instance to the model space. The object pose estimate and the camera pose estimate form nodes of a pose graph for the map of model instances.

Abstract: A computer-implemented method of determining a location of a mobile device, the method comprising receiving inertial data generated at the mobile device, the inertial data comprising a plurality of samples taken at different times, segmenting the inertial data into pseudo-independent windows, wherein each pseudo-independent window comprises a plurality of the samples and wherein one or more initial states for each pseudo-independent window are treated as unknown, estimating a change in navigation state over each pseudo-independent window using the samples of inertial data, and summing the changes in the navigation states over the pseudo-independent windows so as to determine the location of the mobile device.

Abstract: The present invention provides a method for enhancing the efficiency of a photovoltaic module by subjecting it to extremely-low-frequency (ELF) electromagnetic radiation (EMR). The ELF EMR can be provided by a plurality of identical Jacob's ladders and the traveling arcs generated thereby. Alternatively, the ELF EMR can be provided by passing the photovoltaic module over an array of quartz discharge tubes in which arcs are generated between pairs of tungsten electrodes. The photovoltaic module is subjected to multiple passes in order to provide an optimum level of enhancement to the module.

Abstract: A set of ordered playing cards includes indicia of preceding and following cards. The indicia are on the face of each cards and preferably along the side and orientated corresponding to the card designation commonly on the top left and bottom right corner of each card. The first card in the ordered set references the last card as the preceding card, and the last card in the deck references the first card as the following card.

Abstract: The present invention provides a method for enhancing the efficiency of a photovoltaic module by subjecting it to extremely-low-frequency (ELF) electromagnetic radiation (EMR). The ELF EMR can be provided by a plurality of identical Jacob's ladders and the traveling arcs generated thereby. Alternatively, the ELF EMR can be provided by passing the photovoltaic module over an array of quartz discharge tubes in which arcs are generated between pairs of tungsten electrodes. The photovoltaic module is subjected to multiple passes in order to provide an optimum level of enhancement to the module.

Abstract: A clamshell food tray. In some embodiments, the clamshell food tray can comprise a window such that a viewer can see into the interior of the clamshell food tray when the clamshell food tray is in a closed configuration. In some embodiments, the clamshell food tray can have apertures configured to accept a beverage container.

Abstract: A clamshell-style food container having a beverage holder that can also act as a closure mechanism for securing the container in a closed configuration. In some embodiments, the food container also has multiple compartments for separating food items.

Abstract: A novel production process is disclosed for the conversion of methane or natural gas, particularly shale gas, into a liquid fuel near the point of origin. The process is notably “non-Fischer-Tropsch” meaning that it does not require oxygen to be admitted into the reactor for supplying thermal energy by partial combustion, which is normally required to split methane. This freedom from high temperature operation and the other demands of an oxygenation process means that higher carbon efficiency is achievable This is made possible with mechanochemistry and “sonic catalysis” that employ kinetic energy to promote the breakdown of methane molecules, the reformation of the resulting carbon-hydrogen fragments, and the rejuvenation of the catalyst surface. A number of liquid fuels can be produced which are easily transported and fully marketable without further processing.

Abstract: An altered antibody chain is produced in which the CDR's of the variable domain of the chain are derived from a first mammalian species. The framework-encoding regions of DNA encoding the variable domain of the first species are mutated so that the mutated framework-encoding regions encode a framework derived from a second different mammalian species. The or each constant domain of the antibody chain, if present, are also derived from the second mammalian species.