Abstract: Disclosed is a system (100) including first and second processing circuitries (112 and 122). The first processing circuitry (112) generates a first hash sum using a package name and a first identifier and generates an encrypted string using the first identifier, the first hash sum, and a first timestamp. The second processing circuitry (122) receives the encrypted string and the package name from the first processing circuitry (112), extracts a second identifier, a second hash sum, and a second timestamp using the encrypted string, wherein the second hash sum is equal to the first hash sum, generates a third hash sum using the second identifier and the package name, and compare the third hash sum with the second hash sum, to generate an initiation signal.

Abstract: The present invention provides a method and a system for an on-device intent detection using streaming pipe inter-process communication. The method (100) and system (300) disclosed herein involves an on-device intent detection (ODI), that enables applications to recognize user interests which are essentially keywords as they type using an AI model or algorithm. These keywords are communicated to a partner application, installed on the user's device without using any Application Programming Interface (API) or server, thereby effectively improving performance. The user's list of keywords is saved in an AI model and sending the keywords to the partner application employing Android Interface Definition Language (AIDL) interface for inter-process communication (IPC).

Abstract: A tunnel field effect transistor (TFET), including a source region, a gate region, a channel region, and a drain region, the gate region including a gate stack, wherein an area of the source region that is facing the channel region is overlapped by the gate stack.