Abstract: Example embodiments relate to a cartridge including a housing, a pre-vapor formulation reservoir configured to store a pre-vapor formulation in the housing, a vaporizer, and an airflow diverter. The vaporizer may be configured to vaporize the pre-vapor formulation. The vaporizer may include a heater and a wick, the wick may be in fluid communication with the pre-vapor formulation reservoir, and the heater may be configured to vaporize at least a portion of the pre-vapor formulation in the wick to form a vapor. The heater may be positioned in a transverse direction in the housing, and the airflow diverter may be located on an opposite side of the heater relative to a mouth-end portion.

Abstract: An environmental capture system (ECS) captures image data and depth information in a 360-degree scene. The captured image data and depth information can be used to generate a 360-degree scene. The ECS comprises a frame, a drive train mounted to the frame, and an image capture device coupled to the drive train to capture, while pointed in a first direction, a plurality of images at different exposures in a first field of view (FOV) of the 360-degree scene. The ECS further comprises a depth information capture device coupled to the drive train. The depth information capture device and the image capture device are rotated by the drive train about a first, substantially vertical, axis from the first direction to a second direction. The depth information capture device, while being rotated from the first direction to the second direction, captures depth information for a first portion of the 360-degree scene.

Abstract: In general, embodiments of this invention relate to methods, apparatuses, and systems for providing boat or ship protection from damages associated with vessel contact, allision, or other physical contact or with objects. Therefore a preferred embodiment of the invention is demonstrated as a fender system comprising: a base composed of a vertical back portion of cushioning material; a top foam portion of marine grade material; and a bottom foam portion of marine grade material where the top portion and the bottom portion are connected to the top and bottom of the back portion respectively; the top and bottom foam or marine grade material portion each having a connector to facilitate rotational connection to a fender; and a fender rotationally connected to the top and bottom portion.

Abstract: Some embodiments of a device comprise a cleaning-fluid-supply reservoir; a cleaning-fluid-supply conduit; one or more electrical connectors that are configured to be attached to a printhead and supply electrical signals to the printhead; one or more memories; and one or more processors that are in communication with the one or more memories. Also, the one or more processors cooperate with the one or more memories to cause the device to perform operations that include supplying cleaning fluid from the cleaning-fluid-supply reservoir, through the cleaning-fluid-supply conduit, to the printhead, and while supplying the cleaning fluid to the printhead, sending a signal to the printhead, through the one or more electrical connectors, to activate one or more piezo-electric actuators of the printhead.

Abstract: Devices, systems, and methods obtain sensor data that were generated by a plurality of sensors; obtain event data that include occurrences of an event; calculate first characteristics of the sensor data that were generated by the plurality of sensors within a temporal range of an occurrence of the event; identify, in the sensor data, sensor data that were generated by the plurality of sensors within the temporal range of at least one other occurrence of the event based on the first characteristics; calculate second characteristics of the sensor data that were generated by the plurality of sensors within the temporal range of the at least one other occurrence of the event, normalize at least some of the sensor data based on the first characteristics and on the second characteristics, thereby generating normalized sensor data, and train a machine-learning model based on the normalized sensor data.

Abstract: A cartridge for an e-vaping device enables simultaneous vaporization of different pre-vapor formulations to form a vapor for vaping by an adult vaper. The cartridge includes a dispensing interface coupled to a plurality of reservoirs and a heater coupled to the dispensing interface in a housing. The dispensing interface may include a trunk and separate roots extending into separate reservoirs, such that the dispensing interface draws different pre-vapor formulations from the reservoirs to the trunk via the separate roots. The heater is coupled to the trunk, such that the heater is operable to simultaneously vaporize the different pre-vapor formulations drawn into the trunk.

Abstract: A cartridge for an e-vaping device enables separate vapors to be formed proximate to separate, respective ends of the cartridge. The cartridge includes multiple reservoirs and separate vaporizer assemblies coupled to separate reservoirs on opposite ends of the reservoirs. The separate reservoirs may hold separate pre-vapor formulations. The separate vaporizer assemblies may draw separate pre-vapor formulations from separate reservoirs towards opposite ends of the cartridge and vaporize the separate pre-vapor formulations via operation of separate heaters proximate to the separate ends. The separate heaters may be independently controlled to independently control vapor formation at the separate ends. The heaters may be controlled to independently control vapor formation rates proximate to the separate ends. The heaters may be controlled to form separate vapors at least one of simultaneously, concurrently, and at different times.

Abstract: Example embodiments relate to a cartridge including a housing, a pre-vapor formulation reservoir configured to store a pre-vapor formulation in the housing, a vaporizer, and an airflow diverter. The vaporizer may be configured to vaporize the pre-vapor formulation. The vaporizer may include a heater and a wick, the wick may be in fluid communication with the pre-vapor formulation reservoir, and the heater may be configured to vaporize at least a portion of the pre-vapor formulation in the wick to form a vapor. The heater may be positioned in a transverse direction in the housing, and the airflow diverter may be located on an opposite side of the heater relative to a mouth-end portion.

Abstract: A base for an e-vaping device is configured to couple with multiple cartridges configured to generate separate, respective dispersions. The cartridges may include one or more atomizer assemblies or vaporizer assemblies. The base may include multiple connectors electrically coupled to the power supply. The connectors may be configured to couple multiple dispersion generators to a power supply of the base. The base may include control circuitry configured to independently control dispersion generation by dispersion generators coupled to the base. The control circuitry may independently control dispersion generation by the first and second cartridges based on cartridge information accessed through at least one of the first and second connectors. The control circuitry may control dispersion generation by controlling power supplied to the dispersion generators.

Abstract: Some embodiments of a device comprise an image-forming medium and one or more sensors that are attached to the image-forming medium. Also, in some embodiments, the image-forming medium is paper or a medium that has paper-like characteristics, at least some of the one or more sensors are microelectromechanical systems (MEMS), or the one or more sensors are configured to be powered by wireless power transfer. And some embodiments of the device further comprise a system-on-a-chip that is in communication with the one or more sensors, a transceiver that is in communication with the system-on-a-chip, or a radio-frequency identification (RFID) tag.

Abstract: Some embodiments of a system comprise a plurality of sensor arrays, wherein each sensor array of the plurality of sensors arrays includes multiple sensors, includes a wireless transceiver, includes one or more processors, and is configured to generate sensed data, according to sensor settings, while moving along a path; while moving along the path, transmit data to, and receive data from, other sensor arrays of the plurality of sensor arrays that are also moving along the path; and, while moving along the path, change one or more of the sensor settings based on the received data.

Abstract: A base for an e-vaping device is configured to couple with multiple cartridges configured to generate separate, respective dispersions. The cartridges may include one or more atomizer assemblies or vaporizer assemblies. The base may include multiple connectors electrically coupled to the power supply. The connectors may be configured to couple multiple dispersion generators to a power supply of the base. The base may include control circuitry configured to independently control dispersion generation by dispersion generators coupled to the base. The control circuitry may independently control dispersion generation by the first and second cartridges based on cartridge information accessed through at least one of the first and second connectors. The control circuitry may control dispersion generation by controlling power supplied to the dispersion generators.

Abstract: A cartridge for an e-vaping device enables separate vapors to be formed proximate to separate, respective ends of the cartridge. The cartridge includes multiple reservoirs and separate vaporizer assemblies coupled to separate reservoirs on opposite ends of the reservoirs. The separate reservoirs may hold separate pre-vapor formulations. The separate vaporizer assemblies may draw separate pre-vapor formulations from separate reservoirs towards opposite ends of the cartridge and vaporize the separate pre-vapor formulations via operation of separate heaters proximate to the separate ends. The separate heaters may be independently controlled to independently control vapor formation at the separate ends. The heaters may be controlled to independently control vapor formation rates proximate to the separate ends. The heaters may be controlled to form separate vapors at least one of simultaneously, concurrently, and at different times.

Abstract: Some embodiments of a device comprise an image-forming medium and one or more sensors that are attached to the image-forming medium. Also, in some embodiments, the image-forming medium is paper or a medium that has paper-like characteristics, at least some of the one or more sensors are microelectromechanical systems (MEMS), or the one or more sensors are configured to be powered by wireless power transfer. And some embodiments of the device further comprise a system-on-a-chip that is in communication with the one or more sensors, a transceiver that is in communication with the system-on-a-chip, or a radio-frequency identification (RFID) tag.

Abstract: Some embodiments of a system comprise a plurality of sensor arrays, wherein each sensor array of the plurality of sensors arrays includes multiple sensors, includes a wireless transceiver, includes one or more processors, and is configured to generate sensed data, according to sensor settings, while moving along a path; while moving along the path, transmit data to, and receive data from, other sensor arrays of the plurality of sensor arrays that are also moving along the path; and, while moving along the path, change one or more of the sensor settings based on the received data.

Abstract: Devices, systems, and methods obtain sensor data that were generated by a plurality of sensors; obtain event data that include occurrences of an event; calculate first characteristics of the sensor data that were generated by the plurality of sensors within a temporal range of an occurrence of the event; identify, in the sensor data, sensor data that were generated by the plurality of sensors within the temporal range of at least one other occurrence of the event based on the first characteristics; calculate second characteristics of the sensor data that were generated by the plurality of sensors within the temporal range of the at least one other occurrence of the event, normalize at least some of the sensor data based on the first characteristics and on the second characteristics, thereby generating normalized sensor data, and train a machine-learning model based on the normalized sensor data.

Abstract: Some embodiments of a system comprise a plurality of sensor arrays, wherein each sensor array of the plurality of sensors arrays includes multiple sensors, includes a wireless transceiver, includes one or more processors, and is configured to generate sensed data, according to sensor settings, while moving along a path; while moving along the path, transmit data to, and receive data from, other sensor arrays of the plurality of sensor arrays that are also moving along the path; and, while moving along the path, change one or more of the sensor settings based on the received data.

Abstract: Example embodiments relate to a cartridge including a housing, a pre-vapor formulation reservoir configured to store a pre-vapor formulation in the housing, a vaporizer, and an airflow diverter. The vaporizer may be configured to vaporize the pre-vapor formulation. The vaporizer may include a heater and a wick, the wick may be in fluid communication with the pre-vapor formulation reservoir, and the heater may be configured to vaporize at least a portion of the pre-vapor formulation in the wick to form a vapor. The heater may be positioned in a transverse direction in the housing, and the airflow diverter may be located on an opposite side of the heater relative to a mouth-end portion.

Abstract: Some embodiments of a system comprise a plurality of sensor arrays, wherein each sensor array of the plurality of sensors arrays includes multiple sensors, includes a wireless transceiver, includes one or more processors, and is configured to generate sensed data, according to sensor settings, while moving along a path; while moving along the path, transmit data to, and receive data from, other sensor arrays of the plurality of sensor arrays that are also moving along the path; and, while moving along the path, change one or more of the sensor settings based on the received data.

Abstract: Devices, systems, and methods obtain sensor data that were generated by a plurality of sensors; obtain event data that include occurrences of an event; calculate first characteristics of the sensor data that were generated by the plurality of sensors within a temporal range of an occurrence of the event; identify, in the sensor data, sensor data that were generated by the plurality of sensors within the temporal range of at least one other occurrence of the event based on the first characteristics; calculate second characteristics of the sensor data that were generated by the plurality of sensors within the temporal range of the at least one other occurrence of the event, normalize at least some of the sensor data based on the first characteristics and on the second characteristics, thereby generating normalized sensor data, and train a machine-learning model based on the normalized sensor data.