Abstract: Presented are vehicle charging systems and control logic provisioning smart vehicle charging using encrypted wireless connectivity, methods for making/using such systems, and vehicles interoperable with such systems. A method of controlling a charging operation of a vehicle includes a vehicle controller retrieving a unique ID assigned to the vehicle from a memory device. When approaching an electric vehicle charging station (EVCS), the controller responsively embeds the unique ID in a wireless message, including encrypting and inserting the unique ID into a dedicated extension frame within the wireless message. The vehicle then broadcasts the wireless message with the embedded and encrypted unique ID. An EVCS controller parses the encrypted unique ID from the wireless message and transmits the encrypted unique ID to a back-office (BO) vehicle services provider.

Abstract: Systems, methods, and devices for blowout preventer independent alignment and installation of a tubing hanger within a subsea well system. A tubing hanger orientation assembly may be included with a rotary actuator that provides high torque adjustment and fine alignment of the tubing hanger with respect to other subsea equipment. At least one sensor may be included to measure and confirm an orientation of the tubing hanger for proper alignment and connection to a subsea wellhead.

Abstract: Systems, methods, and devices for blowout preventer independent alignment and installation of a tubing hanger within a subsea well system. A tubing hanger orientation assembly may be included with a rotary actuator that provides low torque adjustment and fine alignment of the tubing hanger with respect to other subsea equipment. At least one sensor may be included to measure and confirm an orientation of the tubing hanger for proper alignment and connection to a subsea wellhead.

Abstract: A system and a method for remote operation of a well equipment through a marine riser comprising a first module and a second module connectable to a landing string in the marine riser. The first module includes a communication module, batteries, and a control module; the second module includes a plurality of reservoirs for fluid, one or more pumps, a plurality of motors, a plurality of valves, and a control unit. The control module controls the one or more pumps, and the control unit controls the plurality of motors and the plurality of valves. The first module supplying electric power from the batteries of the first module to the one or more pumps and the plurality of motors of the second module, and the first module supplying communication data from the control module of the first module to the control unit of the second module.

Abstract: Systems and techniques that facilitate computing touchpoint journey recommendations are provided. In various embodiments, an input component can receive a computing context of a client and a computing profile of a client. In various instances, the client can be engaged in a computing touchpoint journey. In various embodiments, a prediction component can predict, via a first machine learning classifier, a negative event likely to occur on the computing touchpoint journey. In various cases, the first machine learning classifier can receive as input the computing context and the computing profile and can generate as output the predicted negative event. In various embodiments, a decision component can recommend in real-time, via a second machine learning classifier, a computing touchpoint to which to transfer the client.

Abstract: An electric vehicle (EV) monitoring system for a vehicle includes a display and a server configured to receive data from one or more charging stations. The data includes a rate of charge. The EV monitoring system also includes an electronic control unit (ECU) communicatively coupled with the server and the display. The ECU includes data processing hardware that includes an EV monitoring application. The EV monitoring application includes a state of charge of the vehicle and is configured to generate a frequency diagram based on the rate of charge received by the server and the state of charge.

Abstract: A system and a method for remote operation of a well equipment through a marine riser comprising a first module and a second module connectable to a landing string in the marine riser. The first module includes a communication module, batteries, and a control module; the second module includes a plurality of reservoirs for fluid, one or more pumps, a plurality of motors, a plurality of valves, and a control unit. The control module controls the one or more pumps, and the control unit controls the plurality of motors and the plurality of valves. The first module supplying electric power from the batteries of the first module to the one or more pumps and the plurality of motors of the second module, and the first module supplying communication data from the control module of the first module to the control unit of the second module.

Abstract: Presented are vehicle charging systems and control logic provisioning smart vehicle charging using encrypted wireless connectivity, methods for making/using such systems, and vehicles interoperable with such systems. A method of controlling a charging operation of a vehicle includes a vehicle controller retrieving a unique ID assigned to the vehicle from a memory device. When approaching an electric vehicle charging station (EVCS), the controller responsively embeds the unique ID in a wireless message, including encrypting and inserting the unique ID into a dedicated extension frame within the wireless message. The vehicle then broadcasts the wireless message with the embedded and encrypted unique ID. An EVCS controller parses the encrypted unique ID from the wireless message and transmits the encrypted unique ID to a back-office (BO) vehicle services provider.

Abstract: Systems and techniques that facilitate computing touchpoint journey recommendations are provided. In various embodiments, an input component can receive a computing context of a client and a computing profile of a client. In various instances, the client can be engaged in a computing touchpoint journey. In various embodiments, a prediction component can predict, via a first machine learning classifier, a negative event likely to occur on the computing touchpoint journey. In various cases, the first machine learning classifier can receive as input the computing context and the computing profile and can generate as output the predicted negative event. In various embodiments, a decision component can recommend in real-time, via a second machine learning classifier, a computing touchpoint to which to transfer the client.

Abstract: Systems and techniques that facilitate computing touchpoint journey recommendations are provided. In various embodiments, an input component can receive a computing context of a client and a computing profile of a client. In various instances, the client can be engaged in a computing touchpoint journey. In various embodiments, a prediction component can predict, via a first machine learning classifier, a negative event likely to occur on the computing touchpoint journey. In various cases, the first machine learning classifier can receive as input the computing context and the computing profile and can generate as output the predicted negative event. In various embodiments, a decision component can recommend in real-time, via a second machine learning classifier, a computing touchpoint to which to transfer the client.

Abstract: Aspects of the present disclosure involve systems, methods, devices, and the like for generating highly scalable temporal graph databases. In one embodiment, a novel architecture is presented that enables the identification of mutation or changes in graphs. For the identification a combination of graph-based modeling and journal entry is used. Events occurring are consumed and changes are ingested, transformed for use by a graph simulation system. The changes are journaled using a vertex centric temporal journaling schema.

Abstract: Systems and techniques that facilitate computing touchpoint journey recommendations are provided. In various embodiments, an input component can receive a computing context of a client and a computing profile of a client. In various instances, the client can be engaged in a computing touchpoint journey. In various embodiments, a prediction component can predict, via a first machine learning classifier, a negative event likely to occur on the computing touchpoint journey. In various cases, the first machine learning classifier can receive as input the computing context and the computing profile and can generate as output the predicted negative event. In various embodiments, a decision component can recommend in real-time, via a second machine learning classifier, a computing touchpoint to which to transfer the client.

Abstract: Aspects of the present disclosure involve systems, methods, devices, and the like for generating highly scalable temporal graph databases. In one embodiment, a novel architecture is presented that enables the identification of mutation or changes in graphs. For the identification a combination of graph-based modeling and journal entry is used. Events occurring are consumed and changes are ingested, transformed for use by a graph simulation system. The changes are journaled using a vertex centric temporal journaling schema.

Abstract: A system including a memory storing user account information, wherein the information comprises funding sources including multiple non-cash, non-credit based funding options; and one or more processors for communicating the multiple non-cash, non-credit based funding options on a merchant site; receiving a selection of a first option of the multiple non-cash, non-credit based funding options made by a user from the merchant site; and processing a payment using the selected first option.