A method of tube plug installation in a heat exchanger or pressure vessel is provided. The method includes verifying the suitability of a selected tube plug with a specifically identified type of heat exchanger or pressure vessel before installation of the selected tube plug. The step of verifying being performed with a device having an app, software, or user interface and after having entered or accessed data concerning the selected tube plug and entering or accessing data concerning the specifically identified type of heat exchanger or pressure vessel and operating parameters of the specifically identified type of heat exchanger or pressure vessel.

A method of tube plug installation in a heat exchanger or pressure vessel is provided. The method includes verifying the suitability of a selected tube plug with a specifically identified type of heat exchanger or pressure vessel before installation of the selected tube plug. The step of verifying being performed with a device having an app, software, or user interface and after having entered or accessed data concerning the selected tube plug and entering or accessing data concerning the specifically identified type of heat exchanger or pressure vessel and operating parameters of the specifically identified type of heat exchanger or pressure vessel.

A processor-based method for locating data and metadata closely together in a storage system is provided. The method includes writing a first range of a file and a first metadata relating to attributes of the file into at least one segment controlled by a first authority of the file. The method includes delegating, by the first authority, a second authority for a second range of the file, and writing the second range of the file and second metadata relating to the attributes of the file into at least one segment controlled by the second authority.

A processor-based method for locating data and metadata closely together in a storage system is provided. The method includes writing a first range of a file and a first metadata relating to attributes of the file into at least one segment controlled by a first authority of the file. The method includes delegating, by the first authority, a second authority for a second range of the file, and writing the second range of the file and second metadata relating to the attributes of the file into at least one segment controlled by the second authority.

A system for database access comprising a plurality of databases, each database having a plurality of defined data fields and a mapping system coupled to the plurality of databases, the mapping system configured to create an algorithmic relationship between a plurality of first fields of a plurality of first databases, and a corresponding field of a plurality of second fields of a plurality of second databases.

A system for database access comprising a plurality of databases, each database having a plurality of defined data fields and a mapping system coupled to the plurality of databases, the mapping system configured to create an algorithmic relationship between a plurality of first fields of a plurality of first databases, and a corresponding field of a plurality of second fields of a plurality of second databases.

A positioning system and a method based on neural network models are provided. The positioning method includes collecting WI-FI® fingerprint data; configuring a computing device to receive the WI-FI® fingerprint data, and the computing device includes a processor and a database storing positioning map data and a group of neural network models including a global positioning model, a coarse positioning model and a fine positioning model; configuring the processor to input the WI-FI® fingerprint data and perform the following steps: estimating a global coordinate through the global positioning model; obtaining the corresponding coarse positioning model from a corresponding primary sub-region to estimate an estimated coarse coordinate of a current position; estimating a plurality of estimated fine coordinates of the current position from the corresponding fine positioning model; and performing a merging process on the estimated fine coordinates to generate a final coordinate.

A positioning system and a method based on neural network models are provided. The positioning method includes collecting WI-FI® fingerprint data; configuring a computing device to receive the WI-FI® fingerprint data, and the computing device includes a processor and a database storing positioning map data and a group of neural network models including a global positioning model, a coarse positioning model and a fine positioning model; configuring the processor to input the WI-FI® fingerprint data and perform the following steps: estimating a global coordinate through the global positioning model; obtaining the corresponding coarse positioning model from a corresponding primary sub-region to estimate an estimated coarse coordinate of a current position; estimating a plurality of estimated fine coordinates of the current position from the corresponding fine positioning model; and performing a merging process on the estimated fine coordinates to generate a final coordinate.

Systems and methods are provided for a personalized entity repository. For example, a computing device comprises a personalized entity repository having fixed sets of entities from an entity repository stored at a server, a processor, and memory storing instructions that cause the computing device to identify fixed sets of entities that are relevant to a user based on context associated with the computing device, rank the fixed sets by relevancy, and update the personalized entity repository using selected sets determined based on the rank and on set usage parameters applicable to the user. In another example, a method includes generating fixed sets of entities from an entity repository, including location-based sets and topic-based sets, and providing a subset of the fixed sets to a client, the client requesting the subset based on the client's location and on items identified in content generated for display on the client.

Systems and methods are provided for a personalized entity repository. For example, a computing device comprises a personalized entity repository having fixed sets of entities from an entity repository stored at a server, a processor, and memory storing instructions that cause the computing device to identify fixed sets of entities that are relevant to a user based on context associated with the computing device, rank the fixed sets by relevancy, and update the personalized entity repository using selected sets determined based on the rank and on set usage parameters applicable to the user. In another example, a method includes generating fixed sets of entities from an entity repository, including location-based sets and topic-based sets, and providing a subset of the fixed sets to a client, the client requesting the subset based on the client's location and on items identified in content generated for display on the client.