Aspects of the invention are directed towards a system and a method for uniformly characterizing equipment category. One or more embodiments of the invention describe the method comprising steps of extracting a plurality of data points from data stream received from a plurality of equipment within an equipment category. The method also comprises steps of normalizing the varying frequency of the extracted data points to generate time normalized information corresponding to each of the plurality of equipment. The method comprises steps of manipulating a plurality of variances in the translated uniform data stream received from each of the plurality of equipment within the equipment category. The method comprises steps of generically mapping the normalized information to one or more aggregation methods and for mapping the output of aggregation methods to one or more reusable data processing algorithms to generate a plurality of uniform equipment characteristics corresponding to the equipment category.

Aspects of the invention are directed towards a system and a method for uniformly characterizing equipment category. One or more embodiments of the invention describe the method comprising steps of extracting a plurality of data points from data stream received from a plurality of equipment within an equipment category. The method also comprises steps of normalizing the varying frequency of the extracted data points to generate time normalized information corresponding to each of the plurality of equipment. The method comprises steps of manipulating a plurality of variances in the translated uniform data stream received from each of the plurality of equipment within the equipment category. The method comprises steps of generically mapping the normalized information to one or more aggregation methods and for mapping the output of aggregation methods to one or more reusable data processing algorithms to generate a plurality of uniform equipment characteristics corresponding to the equipment category.

An underwater data center system includes a data center positioned in a water environment, powered by one or more sustainable energy sources. One or more data center nodes are coupled to the data center or included in the data center. A controller is coupled to the one or more data center nodes. A housing member houses the data center node under water. The underwater data center is coupled to a sustainable energy source that provides energy to the underwater data center. One or more cables are coupled to the one or more data center nodes or the sustainable energy source. The system includes an underwater lattice AIoT device.

According to an embodiment, an electronic device includes a communication module and at least one processor connected to the communication module. The at least one processor is configured to, upon executing an application stored in the electronic device, identify at least one external electronic device registered in the application, identify at least one communication protocol supported by the at least one external electronic device among a plurality of communication protocols, and adjust a scan time corresponding to a first communication protocol among the plurality of communication protocols based on the at least one communication protocol.

A machine implemented method and system, including: receiving at a near real-time processor module, one or more tenant-specific business objects from a message handler module; receiving at the near real-time processor module, contextual data related to the received one or more tenant-specific business objects from a platform analytics module; forming at the near real-time processor module, one or more events by applying one or more pre-defined analytic models to the received contextual data and the received one or more tenant-specific business objects; receiving at a message publisher module, one or more events from the near real-time processor module; and transmitting the received one or more events to one or more subscribers for the one or more events.

A machine implemented method and system, including: receiving at a near real-time processor module, one or more tenant-specific business objects from a message handler module; receiving at the near real-time processor module, contextual data related to the received one or more tenant-specific business objects from a platform analytics module; forming at the near real-time processor module, one or more events by applying one or more pre-defined analytic models to the received contextual data and the received one or more tenant-specific business objects; receiving at a message publisher module, one or more events from the near real-time processor module; and transmitting the received one or more events to one or more subscribers for the one or more events.

Methods and systems for communicating between autonomous vehicles are described herein. Such communication may be performed for signaling, collision avoidance, path coordination, and/or autonomous control. A computing device may receive data for the same road segment from autonomous vehicles, including (i) an indication of a location within the road segment, and (ii) an indication of a condition of the road segment. The computing device may generate, from the data for the same road segment, an overall indication of the condition of the road segment, which may include a recommendation to vehicles approaching the road segment. Additionally, the computing device may receive a request from a computing device within a vehicle approaching the road segment to display vehicle data. The overall indication for the road segment may then be displayed on a user interface of the computing device.

A method of commissioning and provisioning an Industrial Internet of Things (IIOT) gateway that includes sending gateway information to a bootstrapping system and generating a commissioning token using the bootstrapping system. The method also includes storing the commissioning token in the bootstrapping system and associating it with a backend system. The method further includes inputting the commissioning token into the IIOT gateway and communicating the IIOT gateway to the bootstrapping system.

A loose coupling between Internet of Things (“IoT”) devices and environmental sensors is generated. Once the loose coupling has been generated, conditions in a physical environment can be managed utilizing the loosely coupled devices. For example, a hybrid machine learning/expert system can be utilized to activate the IoT devices in an environment to achieve a desired condition in an optimized manner.

A loose coupling between Internet of Things (“IoT”) devices and environmental sensors is generated. Once the loose coupling has been generated, conditions in a physical environment can be managed utilizing the loosely coupled devices. For example, a hybrid machine learning/expert system can be utilized to activate the IoT devices in an environment to achieve a desired condition in an optimized manner.