MRI (Magnetic Resonance Imaging) is a very useful medical procedure to get high quality images inside the body. Felix Bloch and Edward Purcell discovered the magnetic resonance phenomenon independently in 1946. They were awarded the Nobel Prize in 1952. The use of MRI is increasing every day and has become a very useful tool for diagnosis. However, patients with artificial implants, e.g. heart pace makers, DBS (Deep Brain Stimulation) systems, which are used for Parkinson's disease, IPG (Implantable Pulse Generator), used for generating pulses for DBS, are in severe danger for MRI testing. The problems for such patients going under MRI are that the generation of the induced eddy currents inside the metallic implants that causes heating. This heating, if goes above a certain level, can cause brain damage and can even result in death. We are doing numerical computations using FDTD (Finite Difference Time Domain) to estimate the heating produced inside the body using the human data set.
The development of Nanotechnology has enabled the possibilities to fabricate devices and structures at nanoscale (on the order of few nm). The properties of such nanostructures cannot be described by macroscopic physical models like drift-diffusion equations. And that is where the fundamental constants of nature (e.g. charge of an electron, Planck's constant, spin of an electron, etc) come into play. The purpose of this seminar is to describe how these fundamental constants can be connected with the transport phenomenon at nanoscale and how we can come up with a formalism that can describe the transport phenomenon in these nanostructures in terms of the atomistic theory of matter. We will start with a simple one level model to describe transport through individual molecular levels and then extend our discussion to transport through quantum wires using Nonequilibirum Green's Function (NEGF) methodology. Then we will discuss how to include interactions in our formalism which will connect this formalism to Ohm's Law.
Wireless communications for mobile telephone and data transmission is currently undergoing very rapid development. The emerging wireless systems will incorporate considerable signal processing intelligence in order to provide advanced services such as multimedia transmission. In order to make optimum use of available bandwidth, many wireless systems operate as multiple access systems, e.g. Direct Sequence Code Division Multiple Access (DS-CDMA), in which the users are multiplexed by distinct code waveforms. Two major factors that limit the performance of DS-CDMA systems are multiple access interference and multipath channel distortion. Many advanced signal processing techniques have been proposed to combat these factors. Among these techniques, one of the more promising is the use of Smart or Adaptive antennas. This seminar provides an introduction to Smart Antennas for cellular systems. It looks at the various factors affecting propagation in a wireless channel environment and reviews the different approaches towards implementation of adaptive beamforming algorithms for CDMA systems. Finally it reports on the simulation strategy adopted to evaluate the performance of smart antenna systems for CDMA.
We have developed computer models for the control of the activation of the calcium dependent transcription factors. Upon stimulation by foreign proteins, T-lymphocytes display spontaneous oscillation in calcium cellular concentration. Depending on the frequency of these oscillations, either one or more transcription factors are activated. The active transcription factors translocate to the nucleus and initiate gene expression. The model suggests a mechanism by which this differential gene expression occurs. This model faithfully reproduces a wide variety of experimental data. It also suggests key control points for these biochemical signalling pathways, which might suggest novel targets for immunosepressant drugs.
The lecture is designed for the students of first term of second year electrical engineering students. The emphasis will be on simple and easy to use data structures rather than complex databases. The following items will be covered in the lecture.
- Basic concept of a data structure
- Basic types of data structures and the difference between them: List, singly and doubly connected
- Complete design and analysis
- Sorting and other operations on List
- Implementation of famous Stack and Queue using the List
- static data structures and their applications
- Java's vector class
- Implementation of Stack and Queue data structure using the Vector class.