NEURAL NETWORKS PROJECT 2015-2016

Neural networks facilitates real-time parallel processing of massive data sets. Optical neural networks 2015 2016 IEEE projects offer low-volume 3D connectivity together with large bandwidth and minimal heat production in contrast to electronic implementation. Here, we present a conceptual design for in-fiber optical neural networks.

Neurons and synapses are realized as individual silica cores in a multi-core fiber. Optical signals are transferred transversely between cores by means of optical coupling. Pump driven amplification in erbium-doped 2015 2016 IEEE neural project centers in chennai cores mimics synaptic interactions.

We simulated three-layered feed-forward neural networks and explored their capabilities. Simulations suggest that networks can differentiate between given inputs depending on specific configurations of amplification; this implies classification and learning capabilities. Finally, we tested experimentally our basic neuronal elements using fibers, couplers, and amplifiers, and demonstrated that this configuration implements a neuron-like function.

Wireless Communication Projects List

9 project titles

A wireless sensor network is a group of specialized transducers with a communications infrastructure for monitoring and recording conditions at diverse locations.
Commonly monitored parameters are temperature, humidity, pressure, wind direction and speed, illumination intensity, vibration intensity, sound intensity, power-line voltage, chemical concentrations, pollutant levels and vital body functions.
A sensor network consists of multiple detection stations called sensor nodes, each of which is small, lightweight and portable.
Every sensor node is equipped with a transducer, microcomputer, transceiver and power source.
The transducer generates electrical signals based on sensed physical effects and phenomena. The microcomputer processes and stores the sensor output.
The transceiver receives commands from a central computer and transmits data to that computer.
The power for each sensor node is derived from a battery. Potential applications of sensor networks include
Industrial automation
Automated and smart homes and Video surveillance