Abstract: A method and system for detecting a pattern of abuse receives at an input port supply data associated with a corresponding one of the one or more vehicles. Consumption specification data associated with the one or more vehicles are retrieved from a storage device. The consumption specification data is specified by at least one of a vehicle manufacturer or an authority, e.g. a commercial, governmental or military authority. The method and system provides the supply data to a processing unit over a physical transmission medium to determine a pattern of abuse relative to the consumption specification data.

Abstract: A method and system for monitoring supply of physical consumables for one or more vehicles receives at an input port supply data associated with a corresponding one of the one or more vehicles. The supply data is originated at a supply device that supplies the physical consumables. Consumption specification data associated with the one or more vehicles are retrieved from a storage device. The consumption specification data is specified by at least one of a vehicle manufacturer or an authority, e.g. a commercial, governmental or military authority. The method and system provides the supply data to a processing unit over a physical transmission medium to determine a variance relative to the consumption specification data.

Abstract: A method and system for monitoring supply of physical consumables for one or more vehicles receives at an input port supply data associated with a corresponding one of the one or more vehicles. The supply data is originated at a supply device that supplies the physical consumables. Consumption specification data associated with the one or more vehicles are retrieved from a storage device. The consumption specification data is specified by at least one of a vehicle manufacturer or an authority, e.g. a commercial, governmental or military authority. The method and system provides the supply data to a processing unit over a physical transmission medium to determine a variance relative to the consumption specification data.

Abstract: A method and system for monitoring supply of physical consumables for one or more vehicles receives at an input port supply data associated with a corresponding one of the one or more vehicles. The supply data is originated at a supply device that supplies the physical consumables. Consumption specification data associated with the one or more vehicles are retrieved from a storage device. The consumption specification data is specified by at least one of a vehicle manufacturer or an authority, e.g. a commercial, governmental or military authority. The method and system provides the supply data to a processing unit over a physical transmission medium to determine a variance relative to the consumption specification data.

Abstract: A system for scheduling a teacher for teaching one or more students during one or more learning sessions comprises an online learning system having one or more nodes that creates one or more online learning sessions. A scheduling node schedules one or more teachers for teaching one or more online learning sessions. A database stores one or more teacher schedules for one or more learning sessions. The same or another database stores one or more teacher preference attributes. A processing node selects a teacher to teach a student during a learning session based on the one ore more teacher preference attributes and the one or more teacher schedules. The scheduling node schedules the teacher for the learning session prior to the learning session.

Abstract: A system for scheduling a teacher for teaching one or more students during one or more learning sessions comprises an online learning system having one or more nodes that creates one or more online learning sessions. A scheduling node that schedules one or more teachers for teaching one or more online learning sessions. A database that stores one or more teacher schedules for one or more learning sessions. The same or different database that stores one or more responsible authority attributes. A processing node selects a teacher to teach a student during a learning session based on the one or more responsible authority attributes and the one or more teacher schedules.

Abstract: A system for instruction a student comprises an online learning system having one or more nodes that creates a learning session at a session start time. The online learning node creates a learning environments having a virtual classroom such that at the virtual class room, at least one student can view the activity associated with at least one other student with or without teacher involvement. A database stores one or more matching parameters for matching on or more students with one or more teachers. A matching node selects a teacher for a plurality of students for the online learning session based on the one or more matching parameters. The online learning node places the plurality of students in the virtual class room after the matching node matches the teacher and one or more students and prior to the session start time. According to another aspect, the virtual classroom is created between a first online learning session and a second online learning session scheduled for a student consecutively.