Abstract: An improved living area estimation system is described herein that can control and/or use data obtained by a residential robotic device that operates within a structure to estimate the living area. In particular, a residential robotic device may navigate along a predetermined or dynamically-determined route on one floor of the structure. As the residential robotic device travels along the route, the residential robotic device can use one or more sensors to track the area covered. The living area estimation system can obtain a traversed area map directly or indirectly from the residential robotic device, use image processing techniques to enhance the traversed area map, and estimate a living area of a floor on which the residential robotic device operated using the enhanced traversed area map. The living area estimation system can then use artificial intelligence and the estimated floor living area to estimate the living area of a structure.

Abstract: An improved living area estimation system is described herein that can control and/or use data obtained by a residential robotic device that operates within a structure to estimate the living area. In particular, a residential robotic device may navigate along a predetermined or dynamically-determined route on one floor of the structure. As the residential robotic device travels along the route, the residential robotic device can use one or more sensors to track the area covered. The living area estimation system can obtain a traversed area map directly or indirectly from the residential robotic device, use image processing techniques to enhance the traversed area map, and estimate a living area of a floor on which the residential robotic device operated using the enhanced traversed area map. The living area estimation system can then use artificial intelligence and the estimated floor living area to estimate the living area of a structure.

Abstract: A system 10 to optimize a light emitting diode (LED) power allocation framework within a room is disclosed. The system 10 includes a data receiving subsystem 20, configured to receive parameters corresponding to light emitting diodes (LED), visible light communication (VLC) transmitters and visible light communication (VLC) receivers. The system 10 includes a blockage generalization subsystem 22, configured to identify location and height of one or more detected blockages within the room from the received parameters. The system 10 includes an optimal power allocation subsystem 24, configured to compute a visible light communication (VLC) channel gain for each of the one or more light emitting diodes (LED) with reference to identified location and identified height and configured to optimize the power allocation framework to achieve maximized visible light communication (VLC) data rate based on the computed visible light communication (VLC) channel gain and one or more constraints.

Abstract: A system 10 to optimize a light emitting diode (LED) power allocation framework within a room is disclosed. The system 10 includes a data receiving subsystem 20, configured to receive parameters corresponding to light emitting diodes (LED), visible light communication (VLC) transmitters and visible light communication (VLC) receivers. The system 10 includes a blockage generalization subsystem 22, configured to identify location and height of one or more detected blockages within the room from the received parameters. The system 10 includes an optimal power allocation subsystem 24, configured to compute a visible light communication (VLC) channel gain for each of the one or more light emitting diodes (LED) with reference to identified location and identified height and configured to optimize the power allocation framework to achieve maximized visible light communication (VLC) data rate based on the computed visible light communication (VLC) channel gain and one or more constraints.

Abstract: This disclosure provides novel peptide hydrogels containing encapsulated nanoparticles comprising nucleic acid molecules (such as miRNA) that can undergo multiple gel-to-solution (gel-sol) and solution-to-gel (sol-gel) phase transitions, and their use, such as for controlled delivery of nucleic acid molecules to a subject.

Abstract: A video coder may be configured to code a chroma block of video data as a function of reconstructed luma samples. The video coder may store, during the prediction process for a luma block, a sum of the reconstructed luma sample values for each sub-block of the luma block in a first buffer, and store, during the prediction process for the luma block, an average of the reconstructed luma sample values in a second buffer. The video coder may perform chroma from luma prediction to reconstruct a chroma block of the video data corresponding to the luma block using the sums and the average.

Abstract: A system that can generate unique identifiers for individual real estate parcels and/or individual structure(s) located on individual real estate parcels using geometric land and/or building information is described. For example, the system can obtain geographical coordinate information and/or topological information that defines a two-dimensional or three-dimensional boundary of a parcel. The system can then determine and assign a unique identifier to the parcel, where the unique identifier is based on the two-dimensional or three-dimensional boundary. As another example, the system can obtain geographical coordinate information and/or structure architectural plans that define a two-dimensional or three-dimensional boundary of a structure. The system can then determine and assign a unique identifier to the structure, where the unique identifier is based on the two-dimensional or three-dimensional boundary of the structure.

Abstract: A computer-implemented method can include: receiving a request from an entity to submit a wager corresponding to an electronic game to be executed on a remote electronic gaming device; inputting the wager into a queue corresponding to at least one of the remote electronic gaming device or the electronic game; receiving a game play outcome of a game play of the electronic game executed on the remote electronic gaming device; generating supplemental game play content associated with execution of at least one of the electronic game or the game play based at least in part on receipt of a second request from the entity; providing at least one of the supplemental game play content or the game play outcome to the entity; and recording on a blockchain, one or more events associated with the wager.

Abstract: A video coder may be configured code a chroma block of video data as a function of reconstructed luma samples. The video coder may store, during the prediction process for a luma block, a sum of the reconstructed luma sample values for each sub-block of the luma block in a first buffer, and store, during the prediction process for the luma block, an average of the reconstructed luma sample values in a second buffer. The video coder may perform chroma from luma prediction to reconstruct a chroma block of the video data corresponding to the luma block using the sums and the average.

Abstract: A video coder may be configured code a chroma block of video data as a function of reconstructed luma samples. The video coder may store, during the prediction process for a luma block, a sum of the reconstructed luma sample values for each sub-block of the luma block in a first buffer, and store, during the prediction process for the luma block, an average of the reconstructed luma sample values in a second buffer. The video coder may perform chroma from luma prediction to reconstruct a chroma block of the video data corresponding to the luma block using the sums and the average.

Abstract: At least one application data set stored in a data repository is obtained. The application data set is analyzed to generate at least one metadata node. The at least one metadata node is combined with at least one other related node to form a hierarchical data structure. One or more valuation algorithms are executed against the hierarchical data structure to calculate a value for the data set represented in the hierarchical data structure.

Abstract: Disposing individual elements within a swarm by receiving location data for swarm elements, receiving network traffic data for the swarm elements, determining new location data for a swarm element according to the location data and network traffic data of the swarm element, and sending the new location data to the swarm element.

Abstract: Techniques are disclosed for creating high value data assets from undervalued data. In one example, a method identifies at least one data asset associated with an enterprise which has a lower non-economic valuation score as compared with one or more other data assets associated with the enterprise and is determined to be undervalued. The method then combines the at least one identified data asset with at least one of the one or more other data assets to form a composite data asset, wherein the composite data asset has a higher non-economic valuation score as compared to the at least one identified data asset.

Abstract: One or more data assets associated with a data repository of a given enterprise is identified. Each of the one or more data assets is tagged with economic driver metadata that links each of the one or more data assets to at least one economic driver category from a plurality of economic driver categories associated with the given enterprise. At least one economic value is calculated for each of the one or more data assets based on the at least one economic driver category linked to each of the one or more data assets. Calculated economic values for the one or more data assets are stored in a valuation data structure.

Abstract: Disposing individual elements within a swarm by receiving location data for swarm elements, receiving network traffic data for the swarm elements, determining new location data for a swarm element according to the location data and network traffic data of the swarm element, and sending the new location data to the swarm element.

Abstract: This disclosure provides novel peptide hydrogels containing encapsulated nanoparticles comprising nucleic acid molecules (such as miRNA) that can undergo multiple gel-to-solution (gel-sol) and solution-to-gel (sol-gel) phase transitions, and their use, such as for controlled delivery of nucleic acid molecules to a subject.

Abstract: A data governance method comprises the following steps. One or more data elements associated with an enterprise are identified as one or more critical data elements. A data structure is maintained for the one or more critical data elements. For a given critical data element, the data structure stores information that reflects an impact that the given critical data element had on at least one event associated with the enterprise. The method predicts a risk associated with a subsequent impact that the given critical data element may have on at least one subsequent event associated with the enterprise, wherein the risk of the subsequent impact is predicted using at least a portion of the information stored in the data structure.

Abstract: At least one application data set stored in a data repository is obtained. The application data set is analyzed to generate at least one metadata node. The at least one metadata node is combined with at least one other related node to form a hierarchical data structure. One or more valuation algorithms are executed against the hierarchical data structure to calculate a value for the data set represented in the hierarchical data structure.

Abstract: At least one application data set stored in a data repository is obtained. The application data set is analyzed to generate at least one metadata node. The at least one metadata node is combined with at least one other related node to form a hierarchical data structure. One or more valuation algorithms are executed against the hierarchical data structure to calculate a value for the data set represented in the hierarchical data structure.

Abstract: An apparatus in one embodiment comprises at least one processing platform accessible to a plurality of user devices over at least one network. The processing platform implements a hierarchical value-based governance system for data assets of an enterprise. The hierarchical value-based governance system comprises a data asset governance controller, a technical metadata hub, a business metadata hub and a data asset catalog. The data asset catalog is coupled to the technical metadata hub and the business metadata hub and provides integrated technical metadata and business metadata for each of a plurality of the data assets of the enterprise. The data asset governance controller is configured to generate analytics actions for one or more analytics workspaces based at least in part on the integrated technical metadata and business metadata of the data asset catalog. The analytics actions may comprise visualizations providing actionable insights into the corresponding data assets.