Abstract: Data Analytics Engines can be provided as a “black-boxed” abstraction to their “users.” This allows a user to mix and match analytical components if their input data matches the input requirement of the engine. Furthermore, by decoupling the Data Analytics Engine creation from the environment, a high degree of process automation, scalability, and improved maintainability can be achieved. As a result, Data Analytic engineers and Data Scientists can create reusable components for other scientists and business users, whereas the users need not know how the Engines are coded or the environment in which their engines will run, but only need to know the input schema of the data.

Abstract: A monitoring system includes a sensor to detect a behavioral pattern of a person entering the defined space, a storage to store a behavioral pattern and a personal characteristic of the person, a pattern comparison logic to compare the detected behavioral pattern with the behavioral pattern, and determine that access to the defined space is allowed if at least the detected behavioral pattern matches the behavioral pattern stored in the storage, or is not allowed if the detected behavioral pattern does not match the behavioral pattern. Logic is configured to generate a signal indicating that access to the space is allowed if the pattern comparison logic determined that access to the defined space is allowed, and generate a signal triggering an alarm if the pattern comparison logic determined that access to the defined space is not allowed.