The embodiment of the present disclosure provides a method for pipeline network inspection zone generation based on smart gas and an Internet of Things system thereof. The method is implemented based on the Internet of Things system. The Internet of Things system includes a smart gas pipeline network safety management platform, a smart gas sensor network platform, and a smart gas object platform which interact in turn. The method includes: obtaining area feature information of a target inspection area of a gas network based on the smart gas object platform through the smart gas sensor network platform; generating one or more key inspection points in the target inspection area based on the area feature information of the target inspection area; and generating one or more inspection zones in the target inspection area based on the one or more key inspection points.

In an example implementation according to aspects of the present disclosure, a system, method, and storage medium for carbon footprint remediation. A processor receives a set of utilization data from computing devices. The processor determines a location data corresponding to utilization data of the one of the computing devices. The processor determines a carbon footprint of the computing devices based on the utilization data and the location data. The processor compares the carbon footprint against a carbon footprint threshold. The processor transmits remediation control instructions, based on the comparison, to the computing devices

The present disclosure is related to the field of digital communication and provides a method and system for providing personalized multimodal objects in real-time. An object predicting system receives a text input from at least one application installed in a user device associated with a user. Thereafter, the object predicting system determines an intent of the user by analyzing the text input, which is then correlated with contextual data to generate a query. Subsequently, the object predicting system performs a unified search in a universal database, based on the query, wherein the universal database comprises multimodal data. Further, a plurality of multimodal objects predicted in response to the unified search are ranked based on at least one of the contextual data and user preferences. Finally, at least one of the predicted plurality of multimodal objected related to the text input are provided to the user based on the ranking.

A priority determination system includes: an anomaly obtainer that obtains anomaly data items each indicating anomaly in a corresponding one of moving bodies; a state obtainer that obtains state data items each indicating a state of a corresponding one of the moving bodies; a risk value calculator that calculates, for each of the anomaly data items, a risk value indicating a risk of the anomaly based on a state data item of the corresponding one of the moving bodies; a priority determiner that determines a priority of a task for dealing with the anomaly indicated by each of the anomaly data items, based on the risk value of the anomaly data item; and an outputter that provides output based on a result of the determination.

A modular ACD system is configured to automate clinical documentation and includes a machine vision system configured to obtain machine vision encounter information concerning a patient encounter. An audio recording system is configured to obtain audio encounter information concerning the patient encounter. A compute system is configured to receive the machine vision encounter information and the audio encounter information.

A modular ACD system is configured to automate clinical documentation and includes a machine vision system configured to obtain machine vision encounter information concerning a patient encounter. An audio recording system is configured to obtain audio encounter information concerning the patient encounter. A compute system is configured to receive the machine vision encounter information and the audio encounter information.

A method, computer program product, and computing system for automating a monitoring process is executed on a computing device and includes obtaining encounter information of a patient encounter. The encounter information is processed to determine if the encounter information is indicative of a potential medical situation. An inquiry is initiated concerning the potential medical situation.

A method, computer program product, and computing system for automating a monitoring process is executed on a computing device and includes obtaining encounter information of a patient encounter. The encounter information is processed to determine if the encounter information is indicative of a potential medical situation. An inquiry is initiated concerning the potential medical situation.

A method, computer program product, and computing system for compartmentalizing a virtual assistant is executed on a computing device and includes obtaining encounter information via a compartmentalized virtual assistant during a patient encounter, wherein the compartmentalized virtual assistant includes a core functionality module. One or more additional functionalities are added to the compartmentalized virtual assistant on an as-needed basis.

A method, computer program product, and computing system for compartmentalizing a virtual assistant is executed on a computing device and includes obtaining encounter information via a compartmentalized virtual assistant during a patient encounter, wherein the compartmentalized virtual assistant includes a core functionality module. One or more additional functionalities are added to the compartmentalized virtual assistant on an as-needed basis.