Abstract: Methods and Systems are provided for predicting a distance until the batter in an electric vehicle is discharged. Vehicle and geophysical data are received and formatted in n epochs over a time period T. For each epoch, an epoch data structure including a total energy consumption rate, a state of charge rate, and a distance rate is generated. The epochs are processed using a vector autoregression model to generate a predicted epoch data structure. A predicted state of charge is calculated using a state of charge model. A predicted distance traveled in the next epoch is calculated. A predicted charge to empty is calculated and checked to determine if the predicted charge to empty has reached an empty level. The process is repeated until the predicted charge to empty reaches an empty level. The distance to empty is then reported to the driver.

Abstract: Methods and Systems are provided for predicting a distance until the batter in an electric vehicle is discharged. Vehicle and geophysical data are received and formatted in n epochs over a time period T. For each epoch, an epoch data structure including a total energy consumption rate, a state of charge rate, and a distance rate is generated. The epochs are processed using a vector autoregression model to generate a predicted epoch data structure. A predicted state of charge is calculated using a state of charge model. A predicted distance traveled in the next epoch is calculated. A predicted charge to empty is calculated and checked to determine if the predicted charge to empty has reached an empty level. The process is repeated until the predicted charge to empty reaches an empty level. The distance to empty is then reported to the driver.

Abstract: Various methods, apparatuses/systems, and media for data migration readiness of a target data source are disclosed. A processor invokes, in response to triggering a process, an application programming interface (API) to call corresponding source application or microservice hosted on a source database; updates, by the source application or microservice, the source database to reflect the changes made to one or more fields data of user profile; generates a mapping identifier (ID) in response to updating the source database; stores the mapping ID onto a mapping database in a predefined format; invokes another API call to obtain source table field details of the updated source database and the mapping ID that maps source column of the source table to a corresponding target column of a target table of a target database; and automatically updates the target database to match the updated data of the source database based on the mapping ID.

Abstract: Various methods, apparatuses/systems, and media for data migration readiness of a target data source are disclosed. A processor invokes, in response to triggering a process, an application programming interface (API) to call corresponding source application or microservice hosted on a source database; updates, by the source application or microservice, the source database to reflect the changes made to one or more fields data of user profile; generates a mapping identifier (ID) in response to updating the source database; stores the mapping ID onto a mapping database in a predefined format; invokes another API call to obtain source table field details of the updated source database and the mapping ID that maps source column of the source table to a corresponding target column of a target table of a target database; and automatically updates the target database to match the updated data of the source database based on the mapping ID.

Abstract: The present application relates to a lubricant composition comprising: at least one base oil; from 0.05 to 1.5% by weight of an organomolybdenum compound; and from 0.005 to 1% by weight of TiO2 particles.