Abstract: Example implementations include a system and method of using plastic from bodies of water and creating a floating platform by collecting plastic from a body of water, cleaning the collected plastic, melting and compacting the plastic, molding a plurality of hexagonal blocks from the compacted plastic, stacking the plurality of hexagonal blocks, wherein a system of springs and an energy storage device is provided between each of the plurality of hexagonal blocks, and coating the stacked blocks with a non-toxic material. Through the use of various onboard functionalities, energy may be generated to regulate temperature and provide electricity, oxygen may be supplied, and water may be purified.

Abstract: Example implementations include a system and method of using plastic from bodies of water and creating a floating platform by collecting plastic from a body of water, cleaning the collected plastic, melting and compacting the plastic, molding a plurality of hexagonal blocks from the compacted plastic, stacking the plurality of hexagonal blocks, wherein a system of springs and an energy storage device is provided between each of the plurality of hexagonal blocks, and coating the stacked blocks with a non-toxic material. Through the use of various onboard functionalities, energy may be generated to regulate temperature and provide electricity, oxygen may be supplied, and water may be purified.

Abstract: Example implementations include a system and method of using plastic from bodies of water and creating a floating platform by collecting plastic from a body of water, cleaning the collected plastic, melting and compacting the plastic, molding a plurality of hexagonal blocks from the compacted plastic, stacking the plurality of hexagonal blocks, wherein a system of springs and an energy storage device is provided between each of the plurality of hexagonal blocks, and coating the stacked blocks with a non-toxic material. Through the use of various onboard functionalities, energy may be generated to regulate temperature and provide electricity, oxygen may be supplied, and water may be purified.

Abstract: A method for determining present or future trends, and providing a recommendation based on those trends includes receiving raw data from one or more sources, where the raw data is data which has not been cleaned or normalized, cleaning and normalizing the raw data, creating historic data via machine learning, comparing the cleaned and normalized data with the historic data, generating a model based on the compared cleaned and normalized data and the historic data, wherein the model generates one or more determinations, and providing the one or more determinations for use by a recommendation engine or a user. Additionally, a method of collecting specific data includes receiving a survey and additional information provided by a panelist on a mobile application, filtering and organizing the panelists, storing the collected information, providing the stored data to a server for cleaning and normalizing, and providing the panelist with rewards.

Abstract: A method for processing media data includes receiving metadata associated with media data; identifying another metadata associated with another media data, wherein the size of the media data is smaller than the size if the another media data; determining a score based on the metadata and another metadata, wherein the score is within a threshold level; and presenting information associated with a product or service associated with the another media data.

Abstract: A method for determining present or future trends, and providing a recommendation based on those trends is provided. The method includes receiving raw data, where the raw data is data which has not been cleaned or normalized, cleaning and normalizing the raw data, creating historic data via machine learning, comparing the cleaned and normalized data with the historic data, generating a model based on the compared cleaned and normalized data and the historic data, wherein the model generates one or more determinations, and providing the one or more determinations for use by a recommendation engine or a user. Additionally, a method of collecting specific data is provided. The method includes receiving a survey and additional information provided by a panelist on a mobile application, filtering and organizing the panelists, storing the collected information, providing the stored data to a server for cleaning and normalizing, and providing the panelist with rewards.

Abstract: A mobile joint restraint for treating a medical condition for which the mobile joint restraint is required is provided. The mobile joint restraint may include a first part comprising a pair of cut-out pieces, a pair of holes with a strap configured to secure the first part to a limb, and a pair of holes at the ends of arms of the first part configured to attach to a second part. The second part may comprise a pair of restricting protrusions configured to sit within the cut-out piece, a pair of holes with a strap configured to secure the second part to a limb, and a pair of flanges at the ends of arms of the second part configured to couple with the pair of holes at the ends of the arms of the first part.

Abstract: Example implementations include a system and method of using plastic from bodies of water and creating a floating platform by collecting plastic from a body of water, cleaning the collected plastic, melting and compacting the plastic, molding a plurality of hexagonal blocks from the compacted plastic, stacking the plurality of hexagonal blocks, wherein a system of springs and an energy storage device is provided between each of the plurality of hexagonal blocks, and coating the stacked blocks with a non-toxic material. Through the use of various onboard functionalities, energy may be generated to regulate temperature and provide electricity, oxygen may be supplied, and water may be purified.

Abstract: A method for processing media data includes receiving metadata associated with media data; identifying another metadata associated with another media data, wherein the size of the media data is smaller than the size if the another media data; determining a score based on the metadata and another metadata, wherein the score is within a threshold level; and presenting information associated with a product or service associated with the another media data.

Abstract: A method for processing media data includes receiving metadata associated with media data; identifying another metadata associated with another media data, wherein the size of the media data is smaller than the size if the another media data; determining a score based on the metadata and another metadata, wherein the score is within a threshold level; and presenting information associated with a product or service associated with the another media data.

Abstract: A computer-implemented method includes providing an online mobile application to a plurality of users being selected based on one or more qualifications or associations, receiving a recorded audio signal recorded through an interface associated with the mobile application, adding metadata through the mobile application, and detecting a type of content or media associated with the received recorded audio signal and adding additional metadata based on a content type associated with a metadata structure, to provide a rich result dataset with different tagged content and metadata structures.

Abstract: A computer-implemented method includes activating ACR (Automatic Content Recognition) functionalities through a voice command in an audio file received by a virtual assistant, processing the audio file to improve the audio file's quality, analyzing the processed audio file by querying a content recognition system using a media consumption profile associated with a user associated with the audio file, and providing a response to the voice command including a list of recommendations.

Abstract: A computer-implemented method includes receiving a recorded audio signal recorded through an interface associated with the mobile application, adding metadata through the mobile application, confirming the metadata, receiving audio recorded from a nearby source, processing the recording based on significant features, generating digital audio fingerprints, submitting the fingerprints to a server, and detecting a type of content or media associated with the received fingerprint to provide a rich result dataset with different tagged content and metadata structures.

Abstract: A computer-implemented method includes activating ACR (Automatic Content Recognition) functionalities through a voice command in an audio file received by a virtual assistant, processing the audio file to improve the audio file's quality, analyzing the processed audio file by querying a content recognition system using a media consumption profile associated with a user associated with the audio file, querying other available datasets for supplemental information, and providing a response to the voice command including program topics or supplemental information for related information.

Abstract: A computer-implemented method includes activating ACR (Automatic Content Recognition) functionalities through a voice command in an audio file received by a virtual assistant, processing the audio file to improve the audio file's quality, providing context information to the virtual assistant, locating supplemental information associated with the context information, and presenting a response to the voice command based on the supplemental information and context information.

Abstract: A method for processing media data includes receiving metadata associated with media data; identifying another metadata associated with another media data, wherein the size of the media data is smaller than the size if the another media data; determining a score based on the metadata and another metadata, wherein the score is within a threshold level; and presenting information associated with a product or service associated with the another media data.

Abstract: A method for processing media data includes receiving metadata associated with media data; identifying another metadata associated with another media data, wherein the size of the media data is smaller than the size if the another media data; determining a score based on the metadata and another metadata, wherein the score is within a threshold level; and presenting information associated with a product or service associated with the another media data.

Abstract: Device interaction based on media content is described, including receiving a portion of media data; generating metadata associated with the media data; identifying another metadata based on the metadata; identifying content information associated with the another metadata; and issuing a command based on the content information.