Abstract: A baby bathing system including a bathing tub, having a reservoir and a bath basin connected to the reservoir by a weir discharging bath water from the reservoir into the bath basin. A baby bath support insert is received within the bath basin downstream of the reservoir, the baby bath support insert having a flexible seat and a base projection projecting from the flexible seat towards the bath basin. The base projection is conformally seated against an interior surface of the bath basin and supports the flexible seat raised from the interior surface of the bath basin with the baby bath support insert received in the bath basin. The base projection includes at least one aperture extending through the base projection and disposed so that bath water from under the flexible seat communicates through the base projection with outer sides of the bath basin.

Abstract: A baby bathing system including a bathing tub, having a reservoir and a bath basin connected to the reservoir by a weir discharging bath water from the reservoir into the bath basin. A baby bath support insert is received within the bath basin downstream of the reservoir, the baby bath support insert having a flexible seat and a base projection projecting from the flexible seat towards the bath basin. The base projection is conformally seated against an interior surface of the bath basin and supports the flexible seat raised from the interior surface of the bath basin with the baby bath support insert received in the bath basin. The base projection includes at least one aperture extending through the base projection and disposed so that bath water from under the flexible seat communicates through the base projection with outer sides of the bath basin.

Abstract: Novel tools and techniques are provided for implementing Internet of Things (“IoT”) functionality. In some embodiments, a computing system or IoT management node might receive sensor data from one or more IoT-capable sensors, analyze the sensor data to determine one or more actions to be taken, and identify one or more devices (e.g., household devices associated with a customer premises; vehicular components associated with a vehicle; devices disposed in, on, or along a roadway; devices disposed throughout a population area; etc.) for performing the determined one or more first actions. The computing system or IoT management node then autonomously controls each of the identified one or more devices to perform tasks based on the determined one or more first actions to be taken, thereby implementing smart environment functionality (e.g., smart home, building, or customer premises functionality, smart vehicle functionality, smart roadway functionality, smart city functionality, and so on).

Abstract: Novel tools and techniques are provided for implementing Internet of Things (“IoT”) functionality. In some embodiments, a computing system or IoT management node might receive sensor data from one or more IoT-capable sensors, analyze the sensor data to determine one or more actions to be taken, and identify one or more devices (e.g., household devices associated with a customer premises; vehicular components associated with a vehicle; devices disposed in, on, or along a roadway; devices disposed throughout a population area; etc.) for performing the determined one or more first actions. The computing system or IoT management node then autonomously controls each of the identified one or more devices to perform tasks based on the determined one or more first actions to be taken, thereby implementing smart environment functionality (e.g., smart home, building, or customer premises functionality, smart vehicle functionality, smart roadway functionality, smart city functionality, and so on).

Abstract: Novel tools and techniques are provided for implementing self-organizing mobile networks (“SOMNETs”) of drones and platforms. In various embodiments, a computing system might receive first data from each of a plurality of vehicles; might receive second data from each of a plurality of platforms; might analyze the first data to determine a status of each vehicle; and might analyze the second data to determine a status of each platform. Based at least in part on the analyzed first and second data, the computing system might generate at least one of first control instructions to at least one first vehicle of the plurality of vehicles or second control instructions to at least one first platform of the plurality of platforms that respectively cause the at least one first vehicle to perform one or more first actions or cause the at least one first platform to perform one or more second actions.

Abstract: Novel tools and techniques are provided for implementing Internet of Things (“IoT”) functionality. In some embodiments, a computing system or IoT management node might receive sensor data from one or more IoT-capable sensors, analyze the sensor data to determine one or more actions to be taken, and identify one or more devices (e.g., household devices associated with a customer premises; vehicular components associated with a vehicle; devices disposed in, on, or along a roadway; devices disposed throughout a population area; etc.) for performing the determined one or more first actions. The computing system or IoT management node then autonomously controls each of the identified one or more devices to perform tasks based on the determined one or more first actions to be taken, thereby implementing smart environment functionality (e.g., smart home, building, or customer premises functionality, smart vehicle functionality, smart roadway functionality, smart city functionality, and so on).

Abstract: Novel tools and techniques are provided for implementing self-organizing mobile networks (“SOMNETs”) of drones and platforms. In various embodiments, a computing system might receive first data from each of a plurality of vehicles; might receive second data from each of a plurality of platforms; might analyze the first data to determine a status of each vehicle; and might analyze the second data to determine a status of each platform. Based at least in part on the analyzed first and second data, the computing system might generate at least one of first control instructions to at least one first vehicle of the plurality of vehicles or second control instructions to at least one first platform of the plurality of platforms that respectively cause the at least one first vehicle to perform one or more first actions or cause the at least one first platform to perform one or more second actions.

Abstract: Novel tools and techniques are provided for implementing self-organizing mobile networks (“SOMNETs”) of drones and platforms. In various embodiments, a computing system might receive first data from each of a plurality of vehicles; might receive second data from each of a plurality of platforms; might analyze the first data to determine a status of each vehicle; and might analyze the second data to determine a status of each platform. Based at least in part on the analyzed first and second data, the computing system might generate at least one of first control instructions to at least one first vehicle of the plurality of vehicles or second control instructions to at least one first platform of the plurality of platforms that respectively cause the at least one first vehicle to perform one or more first actions or cause the at least one first platform to perform one or more second actions.

Abstract: Novel tools and techniques are provided for implementing self-organizing mobile networks (“SOMNETs”) of drones and platforms. In various embodiments, a computing system might receive first data from each of a plurality of vehicles; might receive second data from each of a plurality of platforms; might analyze the first data to determine a status of each vehicle; and might analyze the second data to determine a status of each platform. Based at least in part on the analyzed first and second data, the computing system might generate at least one of first control instructions to at least one first vehicle of the plurality of vehicles or second control instructions to at least one first platform of the plurality of platforms that respectively cause the at least one first vehicle to perform one or more first actions or cause the at least one first platform to perform one or more second actions.

Abstract: Novel tools and techniques are provided for implementing self-organizing mobile networks (“SOMNETs”) of drones and platforms. In various embodiments, a computing system might receive first data from each of a plurality of vehicles; might receive second data from each of a plurality of platforms; might analyze the first data to determine a status of each vehicle; and might analyze the second data to determine a status of each platform. Based at least in part on the analyzed first and second data, the computing system might generate at least one of first control instructions to at least one first vehicle of the plurality of vehicles or second control instructions to at least one first platform of the plurality of platforms that respectively cause the at least one first vehicle to perform one or more first actions or cause the at least one first platform to perform one or more second actions.

Abstract: Novel tools and techniques are provided for implementing self-organizing mobile networks (“SOMNETs”) of drones and platforms. In various embodiments, a computing system might receive first data from each of a plurality of vehicles; might receive second data from each of a plurality of platforms; might analyze the first data to determine a status of each vehicle; and might analyze the second data to determine a status of each platform. Based at least in part on the analyzed first and second data, the computing system might generate at least one of first control instructions to at least one first vehicle of the plurality of vehicles or second control instructions to at least one first platform of the plurality of platforms that respectively cause the at least one first vehicle to perform one or more first actions or cause the at least one first platform to perform one or more second actions.

Abstract: Novel tools and techniques are provided for implementing self-organizing mobile networks (“SOMNETs”) of drones and platforms. In various embodiments, a computing system might receive first data from each of a plurality of vehicles; might receive second data from each of a plurality of platforms; might analyze the first data to determine a status of each vehicle; and might analyze the second data to determine a status of each platform. Based at least in part on the analyzed first and second data, the computing system might generate at least one of first control instructions to at least one first vehicle of the plurality of vehicles or second control instructions to at least one first platform of the plurality of platforms that respectively cause the at least one first vehicle to perform one or more first actions or cause the at least one first platform to perform one or more second actions.

Abstract: Novel tools and techniques are provided for implementing Internet of Things (“IoT”) functionality. In some embodiments, a computing system or IoT management node might receive sensor data from one or more IoT-capable sensors, analyze the sensor data to determine one or more actions to be taken, and identify one or more devices (e.g., household devices associated with a customer premises; vehicular components associated with a vehicle; devices disposed in, on, or along a roadway; devices disposed throughout a population area; etc.) for performing the determined one or more first actions. The computing system or IoT management node then autonomously controls each of the identified one or more devices to perform tasks based on the determined one or more first actions to be taken, thereby implementing smart environment functionality (e.g., smart home, building, or customer premises functionality, smart vehicle functionality, smart roadway functionality, smart city functionality, and so on).

Abstract: Novel tools and techniques are provided for implementing self-organizing mobile networks (“SOMNETs”) of drones and platforms. In various embodiments, a computing system might receive first data from each of a plurality of vehicles; might receive second data from each of a plurality of platforms; might analyze the first data to determine a status of each vehicle; and might analyze the second data to determine a status of each platform. Based at least in part on the analyzed first and second data, the computing system might generate at least one of first control instructions to at least one first vehicle of the plurality of vehicles or second control instructions to at least one first platform of the plurality of platforms that respectively cause the at least one first vehicle to perform one or more first actions or cause the at least one first platform to perform one or more second actions.

Abstract: Novel tools and techniques are provided for implementing Internet of Things (“IoT”) functionality. In some embodiments, a computing system or IoT management node might receive sensor data from one or more IoT-capable sensors, analyze the sensor data to determine one or more actions to be taken, and identify one or more devices (e.g., household devices associated with a customer premises; vehicular components associated with a vehicle; devices disposed in, on, or along a roadway; devices disposed throughout a population area; etc.) for performing the determined one or more first actions. The computing system or IoT management node then autonomously controls each of the identified one or more devices to perform tasks based on the determined one or more first actions to be taken, thereby implementing smart environment functionality (e.g., smart home, building, or customer premises functionality, smart vehicle functionality, smart roadway functionality, smart city functionality, and so on).

Abstract: Novel tools and techniques are provided for implementing Internet of Things (“IoT”) functionality. In some embodiments, a computing system or IoT management node might receive sensor data from one or more IoT-capable sensors, analyze the sensor data to determine one or more actions to be taken, and identify one or more devices (e.g., household devices associated with a customer premises; vehicular components associated with a vehicle; devices disposed in, on, or along a roadway; devices disposed throughout a population area; etc.) for performing the determined one or more first actions. The computing system or IoT management node then autonomously controls each of the identified one or more devices to perform tasks based on the determined one or more first actions to be taken, thereby implementing smart environment functionality (e.g., smart home, building, or customer premises functionality, smart vehicle functionality, smart roadway functionality, smart city functionality, and so on).

Abstract: Novel tools and techniques are provided for implementing self-organizing mobile networks (“SOMNETs”) of drones and platforms. In various embodiments, a computing system might receive first data from each of a plurality of vehicles; might receive second data from each of a plurality of platforms; might analyze the first data to determine a status of each vehicle; and might analyze the second data to determine a status of each platform. Based at least in part on the analyzed first and second data, the computing system might generate at least one of first control instructions to at least one first vehicle of the plurality of vehicles or second control instructions to at least one first platform of the plurality of platforms that respectively cause the at least one first vehicle to perform one or more first actions or cause the at least one first platform to perform one or more second actions.

Abstract: Novel tools and techniques are provided for implementing self-organizing mobile networks (“SOMNETs”) of drones and platforms. In various embodiments, a computing system might receive first data from each of a plurality of vehicles; might receive second data from each of a plurality of platforms; might analyze the first data to determine a status of each vehicle; and might analyze the second data to determine a status of each platform. Based at least in part on the analyzed first and second data, the computing system might generate at least one of first control instructions to at least one first vehicle of the plurality of vehicles or second control instructions to at least one first platform of the plurality of platforms that respectively cause the at least one first vehicle to perform one or more first actions or cause the at least one first platform to perform one or more second actions.

Abstract: Novel tools and techniques are provided for implementing Internet of Things (“IoT”) functionality. In some embodiments, a computing system or IoT management node might receive sensor data from one or more IoT-capable sensors, analyze the sensor data to determine one or more actions to be taken, and identify one or more devices (e.g., household devices associated with a customer premises; vehicular components associated with a vehicle; devices disposed in, on, or along a roadway; devices disposed throughout a population area; etc.) for performing the determined one or more first actions. The computing system or IoT management node then autonomously controls each of the identified one or more devices to perform tasks based on the determined one or more first actions to be taken, thereby implementing smart environment functionality (e.g., smart home, building, or customer premises functionality, smart vehicle functionality, smart roadway functionality, smart city functionality, and so on).