Electronics and Communication ECE Seminar Topics

We provide a big list of latest 2013-2014 Electronics and Communication Seminar Topics, Presentation Topics, Telecommunication Speech Ideas and Advanced Research Topics in the field of Electronics with free PPT download and abstract based on Technical IEEE Papers for B.E and B.Tech Electronics (ECE) students. Presentations are provided at the end of each article.

Integration Of Spin-RAM Technology In FPGA Circuits

Integration Of Spin-RAM Technology In FPGA Circuits 3 Votes

In this ECE seminar topic, we propose a new non-volatile FPGA circuit based on Spin-RAM technology (Spin Transfer Torque Magnetisation Switching RAM), new generation of MRAM (Magnetic RAM). This Spin-RAM based FPGA circuit could process securely the information in low power dissipation and high speed; meanwhile all the data processed are stored permanently in the distributed Spin-RAM memory. In this non-volatile FPGA design, MTJs (Magnetic Tunnel Junction) are used as storage elements.

Swarm Intelligence Systems and Application

Swarm Intelligence Systems and Application 15 Votes

Swarm intelligence is the emergent collective intelligence of groups of simple autonomous agents. Here, an autonomous agent is a subsystem that interacts with its environment, which probably consists of other agents, but acts relatively independently from all other agents. The autonomous agent does not follow commands from a leader, or some global plan.

Adaptive Active Array Phased Multifunction Radars

Adaptive Active Array Phased Multifunction Radars 16 Votes

This ECE Seminar Topic on Adaptive Active Array Phased Multifunction Radars, discuss about features and implementation of Radars. Over the years radar systems have been changing on account of the requirements caused by Increase in the number of wanted and unwanted targets, reduction in target size either due to physical size reduction due to the adoption of stealth measures, the need to detect unwanted targets in even more sever levels of clutter and at longer ranges,  the need to adapt to a greater number of and more sophisticated types of electronic counter measures. Radar designers addressed these needs by either designing radars to full fill a specific role, or by providing user selectable roles within a single radar. This process culminated in the fully adaptive radar, which can automatically react to the operational environment to optimize performance.

Blue Eyes Technology - Human Operator Monitoring System

Blue Eyes Technology - Human Operator Monitoring System 20 Votes

Blue Eyes system provides technical means for monitoring and recording the operator’s basic physiological parameters. The most important parameter is saccadic activity1, which enables the system to monitor the status of the operator’s visual attention along with head acceleration, which accompanies large displacement of the visual axis (saccades larger than 15 degrees). Complex industrial environment can create a danger of exposing the operator to toxic substances, which can affect his cardiac, circulatory and pulmonary systems. Thus, on the grounds of plethysmographic signal taken from the forehead skin surface, the system computes heart beat rate and blood oxygenation.

Real Time Decision Making For Driverless City Vehicles

Real Time Decision Making For Driverless City Vehicles 17 Votes

Driverless city vehicles for civilian,non-military applications are not likely to gain a wide wide public acceptance unless they prove to be safer than conventional human-driven vehicles. Therefore, road safety is the highest objective in the effort of developing such vehicles, as is the case for any transportation system. The correctness of driverless vehicles’s control software is one of the crucial requirements to ensure safety. As a hard real-time (mission-critical) system, correctness refers not only to functional correctness, but also includes temporal correctness i.e. the control software needs to produce correct results within specified time intervals. In order to achieve this objective, the design and implementation of the control software for driverless vehicles needs to be focused on enabling the proof of correctness through verification and validation procedures.

Intelligent Machine To Machine Communication In A Smart Grid

Intelligent Machine To Machine Communication In A Smart Grid 18 Votes

In the past few years, the cost of access to public wireless data networks has been dropping while the capabilities of these networks continue to increase. Machine-to-machine (M2M)communications is a new technology that leverages these networks to bring smart services to a much wider audience. Differentfrom the traditional human to human (H2H)communications for which the current wireless networks are designed and optimized, M2M communications is seen as a form of datacommunications between entities that do not necessarilyneed any form of human intervention. It is different from current communication models in the sense that it involves new or different market scenarios, low cost and low effort, a potentially very large number of communicating terminals, and small and infrequent traffic transmission per terminal. The industry has already been working on providing M2M communications and smart services offerings across a wide variety of market segments, including healthcare, manufacturing, utilities, distribution, and consumer products.

Metamorphic Robots

Metamorphic Robots 17 Votes

This presentation on ECE Seminar topic, Metamorphic Robots gives a detailed info about these special type of robots which can change their shape without human intervention. Robots used indoors are constrained by their programming and geometry. For those used outside, their mission and topography are unpredictable. PolyBot (Xerox Palo Alto Research Centre) and Conro Robots (Information Sciences Institute, University of South California) are examples.

Carbon Nanotube Antenna in the sub Terahertz Range

Carbon Nanotube Antenna in the sub Terahertz Range 23 Votes

In communications and electronic engineering, a transmission line is a specialized cable designed to carry alternating current of radio frequency,Carbon nanotubes are expected to help in the miniaturization of electronic circuits. They are expected to bridge contact between macroscopic and nanoworld. CNTs working as antennas is a field still in its infancy. They are predicted to work efficiently in the high frequency range. Enhancement of radiation efficiency at tera hertz range was achieved using a bundle of single walled carbon nanotube (SWCNT) instead of a single SWCNT. However still a lower cut off frequency limit (100GHz) occurs. The structure proposed in the paper was used to enhance the radiation efficiency and radiation resistance at the lower part of tera hertz band or sub tera hertz band. The nanotube antenna differs from an ordinary antenna due to to its high kinetic inductance, characteristic impedance, etc.

Monitoring Respiration and Cardiac Activity Using Fiber Bragg Grating-Based Sensor

Monitoring Respiration and Cardiac Activity Using Fiber Bragg Grating-Based Sensor 182 Votes

Fiber Bragg Grating-Based Sensor device consists of a Bragg grating inscribed into a single mode optical fiber and operating on a wavelength of around 1550 nm. The fiber Bragg grating (FBG) is mounted inside a pneumatic cushion to be placed between the backrest of the seat and the back of the monitored person. Vibrations,i.e,dynamic strains transferred to the FBGs involve changes of the instantaneous Bragg wavelength values (proportional to the vibrations). Their detection with the interrogation system (with proper resolution and dynamic characteristics)provides information on breathing activity and heart rate.

Applications Of Artificial Neural Networks In Voice Recognition And Nettalk

Applications Of Artificial Neural Networks In Voice Recognition And Nettalk 92 Votes

A neural network is a processing device, either an algorithm, or actual hardware, whose design was motivated by the design and functioning of human brains and components thereof. The abilities of different networks can be related to their structure, dynamics and learning methods. There are many different types of Neural Networks, each of which has different strengths particular to their applications. ANN is used for their ability to represent non-linear relations makes them well suited for non linear modelling in control systems. Adaptation and learning in uncertain system through off line and on line weight adaptation Parallel processing architecture allows fast processing for large-scale dynamic system. Neural network can handle large number of inputs and can have many outputs.