Internet protocol (IP) address lookup is one of the major performance bottlenecks in high-end routers. This paper presents an architecture for an IP address lookup engine based on programmable finite-state machines (FSMs). The IP address lookup problem can be translated into the implementation of a large FSM. Our hardware engine is then used to implement this FSM using a structured approach, in which the large FSM is broken down into a set of smaller FSMs which are then mapped into reconfigurable hardware blocks. The design of our hardware engine is based on a regular and well structured architecture, which is easy to scale. Our simulation results demonstrate that the FSM based architecture can easily scale to wire speed performance at OC-192 rates. Unlike previous approaches, the performance of our architecture is not constrained by memory bandwidth and is, therefore, in principle scalable with very large scale integration technology.
This paper deals with the idea of smart labs with automated access utilizing IOT for door unlocking systems and automating the process of switching ON the appliances to provide smartness and automation to our computer labs. It uses a picture capturing technique in an embedded system based on Raspberry Pi. RPi (Raspberry pi) controls the camera for capturing the image and for door unlocking. The camera captures the facial picture and RPi processes the image to the service which recognises the face in the image by comparing it with the images which are stored in the database. If the picture is found in the database then the door lock opens and a node is assigned to the person, the node and nearby fan and light are provided power. The person will be informed by an audio announcement about the assigned node.
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