Various embodiments comprise systems, methods, architectures, mechanisms and apparatus for enabling dynamic configuration of CBSD devices with CBRS spectrum grants defined/sized using enhanced SAS channel assignment capabilities supporting low bandwidth channels/applications (e.g., IoT services) in the shared spectrum while minimizing spectrum wastage. Existing CBSD-SAS call flow message exchange and registration data specifications are modified in accordance with various embodiments to provide support for radio types having spectrum requirements less than the nominal minimum channel size.

Disclosed is a remote control smart blower. More particularly, the remote control smart blower includes a blower chamber (100) compressing external air flowing inside and discharging the compressed air; and a blower controller chamber (200) forming a predetermined-high partition with the blower chamber (100) and being able to operate and monitor in real time the power and operation status of a blower (110) disposed and fixed in the blower chamber (100), in which a manager can check the operation status of the blower (110) installed and fixed at a site and control and manage the blower (110) in real time using an exclusive terminal not only at the site, but regardless of the distance due to the blower controller chamber (200), whereby safety of operation and ease of management of the blower (110) are maximized.

Therefore, the present invention not only maximizes the usability of the blower (110) installed in a site, but also allows a manager to check the operation status and operation schedule of the blower (110) in real time regardless of the distance and to manage and control the operation condition and operation schedule according to the situation, whereby improving the ease and expertise of the blower (110).

A method and a system for providing one or more services to one or more user devices [202] in an IoT network in a scalable M2M (Machine to Machine) framework. The method comprises receiving a connection request from the one or more user devices [202] at a load balance of the IoT network, the connection request comprises at least a username comprising a cluster identifier. The load balancer [204] determines a cluster identifier based on the connection request and identifies at least one target cluster from the one or more clusters [206], said target cluster being associated with the identifier cluster identifier. The load balancer [204] routes the connection request to the at least one target cluster to provide the one or more services to the one or more user devices [202].

Systems and methods may be used to implement twinned or linked digital avatars as an edge avatar and a cloud avatar for a particular physical device in an industrial site. The edge avatar is configured to ingest data generated in the industrial site and to use a model for the particular physical device to obtain device-specific parameters related to the particular physical device. The edge avatar also sends information related to the device-specific parameters to a cloud avatar that is linked to the edge avatar. The cloud avatar is implemented in a cloud network away from the industrial site. The edge avatar is also configured to receive updates from the cloud avatar for the edge avatar and to refine the edge avatar using the updates.

Systems and methods may be used to implement twinned or linked digital avatars as an edge avatar and a cloud avatar for a particular physical device in an industrial site. The edge avatar is configured to ingest data generated in the industrial site and to use a model for the particular physical device to obtain device-specific parameters related to the particular physical device. The edge avatar also sends information related to the device-specific parameters to a cloud avatar that is linked to the edge avatar. The cloud avatar is implemented in a cloud network away from the industrial site. The edge avatar is also configured to receive updates from the cloud avatar for the edge avatar and to refine the edge avatar using the updates.

Disclosed is a remote control smart blower. More particularly, the remote control smart blower includes a blower chamber (100) compressing external air flowing inside and discharging the compressed air; and a blower controller chamber (200) forming a predetermined-high partition with the blower chamber (100) and being able to operate and monitor in real time the power and operation status of a blower (110) disposed and fixed in the blower chamber (100), in which a manager can check the operation status of the blower (110) installed and fixed at a site and control and manage the blower (110) in real time using an exclusive terminal not only at the site, but regardless of the distance due to the blower controller chamber (200), whereby safety of operation and ease of management of the blower (110) are maximized. Therefore, the present invention not only maximizes the usability of the blower (110) installed in a site, but also allows a manager to check the operation status and operation schedule of the blower (110) in real time regardless of the distance and to manage and control the operation condition and operation schedule according to the situation, whereby improving the ease and expertise of the blower (110).

Disclosed is a remote control smart blower. More particularly, the remote control smart blower includes a blower chamber (100) compressing external air flowing inside and discharging the compressed air; and a blower controller chamber (200) forming a predetermined-high partition with the blower chamber (100) and being able to operate and monitor in real time the power and operation status of a blower (110) disposed and fixed in the blower chamber (100), in which a manager can check the operation status of the blower (110) installed and fixed at a site and control and manage the blower (110) in real time using an exclusive terminal not only at the site, but regardless of the distance due to the blower controller chamber (200), whereby safety of operation and ease of management of the blower (110) are maximized. Therefore, the present invention not only maximizes the usability of the blower (110) installed in a site, but also allows a manager to check the operation status and operation schedule of the blower (110) in real time regardless of the distance and to manage and control the operation condition and operation schedule according to the situation, whereby improving the ease and expertise of the blower (110).

Co-clustering of at least some parameters is employed to reduce data transferred between edge and cloud resources. Single-parameter cluster information, including cluster counts, for each of two or more parameters of interest is accessed. Each parameter may represent a time series of numeric values sent from an IoT unit to an edge device. A co-clustering ratio is determined for each unique parameter pair. The co-clustering ratio indicates whether the number of clusters produced by a co-clustering algorithm applied to a group of parameters is less than the number of clusters required to represent the parameters without co-clustering. Co-cluster groups may be identified based on the cluster ratios. For each co-cluster group, the co-clustering algorithm may be invoked to produce compressed encodings of numeric value tuples. The compressed encoding is then transmitted to a cloud computing resource and decoded into a tuple of surrogate values.

An electric water heater with a computing device used to heat water from a residential or industrial water tank while executing useful computational tasks for a network. It includes a water tank, a heat exchanger, a computing device, a connectivity system to connect the computing device to a network, the network supplying computing tasks to the computing device, such that running the computing tasks results in a heat production, and a temperature control system to control the heat production from the computing device responsive to the water and heat exchanging fluid temperatures. The computational tasks are defined by one or more network user.

Apparatus and associated methods relate to transformations of data provided by an Internet of Things (IoT) device. A processor defines a data transformation corresponding to data transmitted by the IoT device in an IoT system. The data transformation includes a definition of a transformation of data from a first format to a second format and an identification (ID) of the IoT device. The processor then compiles the data transformation to produce compiled executable code for performing the data transformation. The processor registers the compiled executable code for the data transformation as an available transformation for various components of the IoT system. The processor facilitates execution of the compiled executable code so as to perform the data transformation upon a data stream provided by the IoT device.