Abstract: In one aspect, a computerized method of an artificial neural network model for implementing a distribution of automated interactions with network effects and n-tiered incentives via an interactive network comprising: training one or more artificial neural network models to automatically: establish a set of specified system-wide data center parameters, wherein the artificial neural network model is trained on a set of existing data sets and is used to automatically determine the specified system-wide data center parameters, receive an item added by a user added to the interactive network, wherein for each item added by the user adds to the system, the user assigns a specific goal, provide a set of data for each specific goals, generate a specified goal algorithm for each goal described by the user, automatically establish a distribution with a plurality of network effects and n-tiered incentives for each item the user adds, and for each transaction related to the item that occurs in the interactive network, ap

Abstract: The current invention discloses a radio-frequency identification (RFID) tag based system that is capable of detecting tampering of a genuine goods. The system comprises an RFID tag, an end node, and a tentacle that electrically connects the RFID tag with the end node. An attempt to remove the RFID tag would cause the tentacle to break so that the electrical/electronic communication between the RFID tag and the end node is disrupted, therefore indicating that the goods has been tampered with.