Abstract: Managing an entryway for a building includes a computer system accessing identity data providing unique biometric identifications and associated names for respective people. Roles are stored and associated with people. Rules are stored and configured to define roles or people and define conditions and actions. A certain rule includes presence of a person at an entryway and a person in at a different location than the entryway as a condition. A named person is identified by the computer system comparing identity data to biometric data received for a person at the entryway. The computer system performs a defined action for the certain rule responsive to determining that the certain rule defines a role associated with the identified, named person at the entryway and responsive to detecting by a sensor in the building that a person is present in the building at a different location than the entryway.

Abstract: Managing an entryway for a building includes a computer system accessing identity data providing unique biometric identifications and associated names for respective people. Roles are stored and associated with people. Rules are stored and configured to define roles or people and define conditions and actions. A certain rule includes presence of a person at an entryway and a person in at a different location than the entryway as a condition. A named person is identified by the computer system comparing identity data to biometric data received for a person at the entryway. The computer system performs a defined action for the certain rule responsive to determining that the certain rule defines a role associated with the identified, named person at the entryway and responsive to detecting by a sensor in the building that a person is present in the building at a different location than the entryway.

Abstract: Managing an entryway for a building includes a computer system accessing identity data providing unique biometric identifications and associated names for respective people. Roles are stored and associated with people. Rules are stored and configured to define roles or people and define conditions and actions. A certain rule includes presence of a person at an entryway and a person in at a different location than the entryway as a condition. A named person is identified by the computer system comparing identity data to biometric data received for a person at the entryway. The computer system performs a defined action for the certain rule responsive to determining that the certain rule defines a role associated with the identified, named person at the entryway and responsive to detecting by a sensor in the building that a person is present in the building at a different location than the entryway.

Abstract: Managing an entryway for a building includes a computer system accessing identity data providing unique biometric identifications and associated names for respective people. Roles are stored and associated with people. Rules are stored and configured to define roles or people and define conditions and actions. A certain rule includes presence of a person at an entryway and a person in at a different location than the entryway as a condition. A named person is identified by the computer system comparing identity data to biometric data received for a person at the entryway. The computer system performs a defined action for the certain rule responsive to determining that the certain rule defines a role associated with the identified, named person at the entryway and responsive to detecting by a sensor in the building that a person is present in the building at a different location than the entryway.

Abstract: A computer system accesses identity data providing unique biometric identifications and associated names for respective people. Roles are stored and associating ones of the roles are associated with ones of the people. Rules are stored, wherein each rule is configured to define one of the roles or people and define a condition and an action. The computer system receives from a device at an entryway, biometric data for a person. A named person is indicated for the received biometric data by the identity data accessed by the computer system. The computer system selects a rule corresponding to the identified person or to one of the defined roles for the identified person. The computer system performs the defined action for the selected rule when a current condition satisfies the defined condition for the selected rule.

Abstract: A computer system accesses identity data providing unique biometric identifications and associated names for respective people. Roles are stored and associating ones of the roles are associated with ones of the people. Rules are stored, wherein each rule is configured to define one of the roles or people and define a condition and an action. The computer system receives from a device at an entryway, biometric data for a person. A named person is indicated for the received biometric data by the identity data accessed by the computer system. The computer system selects a rule corresponding to the identified person or to one of the defined roles for the identified person. The computer system performs the defined action for the selected rule when a current condition satisfies the defined condition for the selected rule.

Abstract: A periodical expense planning system, method and data model considers income, predicted and unpredicted expenses, in order to maximize final balance and profit for the analysis period. It applies multi-period linear optimization techniques, analyzing the expenses of a house cell over N periods for every period within N. The model analyzes the predicted expenses (known costs, but not necessarily the same amount on every period) of the k future periods to come, and also takes into account the actual costs incurred in the r previous periods (having that k+r=N). By doing that, the model calculates the optimal amount that can be taken away from the model in each period (i.e., money to be invested and thus give the user earnings) is achieved, and a planning for the expenses' payment is given. The variables under analysis for each period are how much to save for the next period, how much can be taken away from the model (i.e., the money to be invested), how much should be put into the system (i.e.