Abstract: Disclosed are methods of manufacturing a zeolite membrane, comprising: providing at least one porous substrate; and coating the at least one porous substrate with a membrane. In some embodiments, the method further comprises hydrothermally treating the membrane with a first hydrothermal treatment step with tetrapropylammonium fluoride (TPAF) and a second hydrothermal treatment step with tetraethylammonium hydroxide (TEAOH). In some embodiments, coating the substrate with a membrane comprises surrounding at least a portion of the at least one porous substrate with a precursor gel, the gel comprising a gel phase and a plurality of CHA or MFI crystals; heating the at least one porous substrate and the precursor gel; washing the at least one porous substrate; drying the at least one porous substrate; and calcining the at least one porous substrate.

Abstract: Disclosed herein are impregnated nanostructured hierarchical zeolitic materials comprising: a plurality of zeolite nanotubes, wherein each zeolite nanotube comprises a zeolitic wall perforated by a plurality of pores, the zeolitic wall defining a single longitudinal lumen, and wherein at least a portion of the plurality of zeolite nanotubes are impregnated with an amine.

Abstract: A computer-implemented method for performing smart building automated check-in includes receiving a digital image of a visiting user; receiving a visited user selection; and transmitting a notification to a computing device of the visited user, the notification including an identifier of the visiting user. A smart building automated check-in system includes a processor; and a memory storing instructions that, when executed by the processor, cause the system to: receive a digital image of a user; receive a visited user selection; and transmit a notification to a computing device of the visited user, the notification including an identifier of the visiting user. A non-transitory computer readable medium includes program instructions that when executed, cause a computer to: receive a digital image of a user; receive a visited user selection; and transmit a notification to a computing device of the visited user, the notification including an identifier of the visiting user.

Abstract: An authentication method includes receiving an initial user authentication factor; storing the initial authentication factor; receiving one or more user verification authentication factors; and authenticating the user when a verification authentication factor matches the initial authentication factor. A user authentication system includes a processor; and a memory storing instructions that, when executed by the processor, cause the system to: receive an initial user an initial authentication factor; store the initial user authentication factor; receive one or more user verification authentication factors; and authenticate the user when a verification authentication factor matches the initial authentication factor.

Abstract: Disclosed herein are nanostructured hierarchical zeolitic materials comprising: a plurality of zeolite nanotubes, each zeolite nanotube comprising a zeolitic wall perforated by a plurality of pores, the zeolitic wall defining a single longitudinal lumen. Also disclosed herein are bolaform structure directing agents comprising: a first hydrophilic end and a second hydrophilic end with a hydrophobic core therebetween; the hydrophobic core comprising one or more aromatic rings and one or more hydrophobic alkyl groups; the one or more aromatic rings comprising a biphenyl group; the one or more hydrophobic alkyl groups each independently comprising a C10 alkyl group; and the first hydrophilic end and the second hydrophilic end each independently comprising a quinuclidinium group. Also disclosed herein are methods of making and use of the plurality of zeolite nanotubes and the bolaform structure directing agents.

Abstract: A computer-implemented method includes displaying a bot client application including an active channel indicator, receiving bot input, analyzing the bot input, generating an output, and displaying the output. A smart building system includes a processor and a memory storing instructions that, when executed by the one or more processors, cause the system to display a bot client application including an active channel indicator, receive bot input, analyze the bot input, generate an output, and display the output. A non-transitory computer readable medium containing program instructions that when executed, cause a computer to display a bot client application including an active channel indicator, receive bot input, analyze the bot input, generate an output, and display the output.

Abstract: Systems and methods for recycling polymers are provided. One embodiment provides a method for recycling synthetic polymers by combining the polymers with a solid depolymerizing catalyst in a vessel, mechanically shearing the combined polymers and the solid depolymerizing catalyst against each other to produce monomers from the polymers; and collecting the monomers. In some embodiments the solid depolymerizing catalyst is solid sodium hydroxide. In some embodiments collecting the monomers is achieved by contacting the sheared polymer and catalyst with a recyclable volatile solvent to dissolve the monomers. In some embodiments, the method includes purifying the collected monomers for repolymerization. In some embodiments purifying the monomers is achieved using nanofiltration membrane technology, cyclic fixed bed adsorption, simulated moving-bed adsorption or a combination thereof.

Abstract: A system includes a processor and a memory storing instructions that, when executed by the processor cause the system to generate a machine learning model; generate an artificial neural network; analyze an image of a parking area using a spot detection machine learning model; analyze the image of the parking area using a vehicle detection machine learning model; and classify a parking space as available when an area of intersection does not exceed a predetermined value. A method includes analyzing an image of a parking area using a first machine learning model; analyzing the image of the parking area using second machine learning model; and classifying a parking space as available when an area of intersection does not exceed a predetermined value. A method includes generating a spot detection machine learning model; and generating, by analyzing a plurality of labeled images, an artificial neural network.

Abstract: Disclosed herein are membranes comprising: porous substrate; and two or more graphene oxide (GO) sheets disposed on the porous substrate, each GO layer comprising a plurality of GO flakes, each GO flake comprising a planar graphene structure with oxygen moieties extending therefrom, wherein the membrane, when a pressure from 10 bar to 50 bar of transmembrane pressure is applied from 1 hour to 48 hours, has an aqueous flux wherein the aqueous flux changes by 5% or less while the pressure is applied. The membranes can also include an intercalating agent disposed between the two or more GO sheets, the intercalating agent interacting with each GO sheet, wherein the intercalating agent provides a non-covalent stabilization of the two or more GO sheets. Also disclosed herein are methods of making and using the same and systems for implementing the same.

Abstract: The disclosed technology includes a membrane-based device configured to concentrate black liquor, which results from papermaking. Certain embodiments may comprise a nanofiltration membrane configured to remove lignin from black liquor, and the nanofiltration membrane may include a first macroporous polymer substrate and a first graphene oxide membrane covering the first macroporous polymer substrate. Some embodiments may comprise a reverse osmosis membrane, which may include a second macroporous polymer substrate and a second graphene oxide membrane covering the second macroporous polymer substrate.

Abstract: A computer-implemented method includes identifying a vehicle using a trained convolutional neural network; analyzing an image of a parking area using a machine learning model; and transmitting an identification to a client computing device of the user. A vehicle parking spot dispatch system includes one or more processors; and a memory storing instructions that, when executed by the one or more processors, cause the system to identify a vehicle using a trained convolutional neural network; analyze an image of a parking area using a machine learning model; and transmit an identification to a client computing device of the user. A non-transitory computer readable medium includes program instructions that when executed, cause a computer to identify a vehicle using a trained convolutional neural network; analyze an image of a parking area using a machine learning model; and transmit an identification to a client computing device of the user.

Abstract: Disclosed are methods of manufacturing a zeolite membrane, comprising: providing at least one porous substrate; and coating the at least one porous substrate with a membrane. In some embodiments, the method further comprises hydrothermally treating the membrane with a first hydrothermal treatment step with tetrapropylammonium fluoride (TPAF) and a second hydrothermal treatment step with tetraethammonium hydroxide (TEAOH). In some embodiments, coating the substrate with a membrane comprises surrounding at least a portion of the at least one porous substrate with a precursor gel, the gel comprising a gel phase and a plurality of CHA or MFI crystals; heating the at least one porous substrate and the precursor gel; washing the at least one porous substrate; drying the at least one porous substrate; and calcining the at least one porous substrate.

Abstract: A computer-implemented method for performing automatic lighting control includes receiving a selection of a lighting control, identifying an electric light, causing the electric light to perform an action; and displaying a response message to the user via the lighting control application. An automatic lighting control system includes a processor; and a memory storing instructions that, when executed by the processor, cause the system to receive a selection of a lighting control, identify an electric light, cause the electric light to perform an action; and display a response message to the user via the lighting control application. A non-transitory computer readable medium includes program instructions that when executed, cause a computer to receive a selection of a lighting control, identify an electric light, cause the electric light to perform an action; and display a response message to the user via the lighting control application.

Abstract: A method of parking space dispatch includes receiving a user command, enqueueing the user command, analyzing an image of a parking area using a machine learning model, dequeueing the user command, and notifying the user of an identification of the available parking space. A vehicle parking spot dispatch system includes a processor and a memory storing instructions that, when executed by the processor, cause the system to receive a user command, enqueue the user command, analyze an image of a parking area using a machine learning model, dequeue the user command, and notify the user of the available parking space. A non-transitory computer readable medium containing program instructions that when executed, cause a computer to receive a user command, enqueue the user command, analyze an image of a parking area using a machine learning model, dequeue the user command, and notify the user of the available parking space.

Abstract: A computer-implemented method for performing smart building automated check-in includes receiving a digital image of a visiting user; receiving a visited user selection; and transmitting a notification to a computing device of the visited user, the notification including an identifier of the visiting user. A smart building automated check-in system includes a processor; and a memory storing instructions that, when executed by the processor, cause the system to: receive a digital image of a user; receive a visited user selection; and transmit a notification to a computing device of the visited user, the notification including an identifier of the visiting user. A non-transitory computer readable medium includes program instructions that when executed, cause a computer to: receive a digital image of a user; receive a visited user selection; and transmit a notification to a computing device of the visited user, the notification including an identifier of the visiting user.

Abstract: A method for delegating conference rooms using room presence detection includes identifying a human in a digital image using a trained machine learning model; updating room presence information; and determining a next-available conference room. A room presence computing system includes a processor; and a memory storing instructions that, when executed by the processor, cause the system to: identify a human in a digital image using a trained machine learning model; update room presence information; and determine, by analyzing the room presence information, a next-available conference room. A non-transitory computer readable medium includes program instructions that when executed, cause a computer to: identify a human in a digital image using a trained machine learning model update room presence information; and determine, by analyzing the room presence information, a next-available conference room.

Abstract: An authentication method includes receiving an initial user authentication factor; storing the initial authentication factor; receiving one or more user verification authentication factors; and authenticating the user when a verification authentication factor matches the initial authentication factor. A user authentication system includes a processor; and a memory storing instructions that, when executed by the processor, cause the system to: receive an initial user an initial authentication factor; store the initial user authentication factor; receive one or more user verification authentication factors; and authenticate the user when a verification authentication factor matches the initial authentication factor.

Abstract: A computer-implemented method includes displaying a bot client application including an active channel indicator, receiving bot input, analyzing the bot input, generating an output, and displaying the output. A smart building system includes a processor and a memory storing instructions that, when executed by the one or more processors, cause the system to display a bot client application including an active channel indicator, receive bot input, analyze the bot input, generate an output, and display the output. A non-transitory computer readable medium containing program instructions that when executed, cause a computer to display a bot client application including an active channel indicator, receive bot input, analyze the bot input, generate an output, and display the output.

Abstract: An automated check-in method includes receiving a sign-in selection, displaying a user registration, capturing a photograph, receiving user information and a visited user selection, displaying a registration preview, and transmitting a notification. A smart building automated check-in system includes a processor; and a memory storing instructions that, when executed by the processor, cause the system to receive a sign-in selection, display a user registration, capture a photograph receive user information and a visited user selection, display a registration preview, and transmit a notification. A non-transitory computer readable medium includes program instructions that when executed, cause a computer to receive a sign-in selection, display a user registration, capture a photograph, receive user information and a visited user selection, display a registration preview, and transmit a notification.

Abstract: A computer-implemented method for performing room presence detection includes receiving a live photograph, detecting a human in the live photograph using machine learning, identifying a file photograph by comparing the live photograph to a list of photographs and displaying a room map. A room presence computing system includes a processor; and a memory storing instructions that, when executed by the processor, cause the system to receive a live photograph, detect a human in the live photograph using machine learning, identify a file photograph by comparing the live photograph to a list of photographs and display a room map. A non-transitory computer readable medium includes program instructions that when executed, cause a computer to receive a live photograph, detect a human in the live photograph using machine learning, identify a file photograph by comparing the live photograph to a list of photographs and display a room map.