IEEE Miami Section

IEEE
December 9th, 2014

 

 

Optical measurements of thin films by ellipsometry using numerical methods

Invited Lecture by

Frank Urban, Ph.D.
Associate Professor, FIU

Date: December 9, 2014
Time: 2:00 PM– 3:00 PM
Address: Department of Electrical and Computer Engineering Department, Florida International University, 10555 W. Flagler Street, Miami, Florida 33174
Room: EC-1105

Abstract: A major challenge for those utilizing ellipsometry is numerical processing of the measured data. Our recent work shows how the transcendental, multivalued equations arising from the physics of reflection from layers can be solved in the n-k plane. This approach applies the mathematics of Complex Analysis to solve the equations numerically. The work presented extends the n-k method to obtain solutions within the accuracy limit of each measurement. The system treated here is that of a thin absorbing film (Chromium) overlying a known substrate (Silicon). Solutions for a three-layer model of the Chromium film including film-substrate and film-air interfacial layers result in a mean square error (MSE) on the order of 0.01, a significant improvement over a single-layer mod-el. Relaxing the constraint of vertical homogeneity provides a six-layer model with the same interfacial layers and four sublayers of Chromium. The chromium layers have near-identical values of optical properties and an MSE of essentially zero (10-13). It is anticipated that additional methods will be needed for other classes of problems.

Short Bio: Professor Urban has been at FIU since Fall 1990. His interests are in nanoparticle thin films and optical measurements of thin films by ellipsometry using numerical methods. He has been active in the American Vacuum Society in the Thin Film and Surface Engineering Divisions.

 

 

 

 

For seat reservation and more information please contact IEEE Miami Section staff at rmoha023@fiu.edu or bsukh002@fiu.edu.


November 25th, 2014

 

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Wireless Communication Protocols for Smart Grid Neighborhood Area Networks and Their Privacy Threats

Invited Lecture by

Kemal Akkaya, Ph.D.
Associate Professor, FIU

Date: December 2, 2014
Time: 2:00 PM– 3:00 PM
Address: Department of Electrical and Computer Engineering Department, Florida International University, 10555 W. Flagler Street, Miami, Florida 33174
Room: EC-1105

akkayaAbstract: The upcoming Smart Grid is envisioned to use communication networks for two-way flow of data that will be generated from several new applications. These applications will run on different components of Smart Grid communication network includ-ing Neighborhood Area Networks, Home Area Network and Wide Area Networks. For each of these network components, various underlying infrastructure alternatives and standards based on wireless, fiber, powerlines, etc. are being considered for development. In this presentation, I will first talk about the wireless networking infrastructure options for the implementation of Neighborhood Area Networks. Particularly, I will look at the possibility of applying IEEE 802.11s and Zigbee mesh standards. In the second part of the presentation, I will look at privacy concerns due to smart meter data collected through the Neighborhood Area Networks. The collection of near real-time household energy consumption may reveal a lot of information about the life and behavior within the home. Therefore, in addition to traditional security problems, researchers need to tackle the pri-vacy issues raised as a result of the implementation of the Smart Grid Advanced Meter-ing Infrastructure (AMI). I will describe two approaches to provide consumer privacy on AMI: The first approach relies on generating obfuscation values to hide the actual usage from eavesdroppers and utility companies while preserving the utility companies’ ability to use the data for state estimation. The second ap-proach is the ultimate solution that relies on fully homomorphic encryption systems. I will talk about the feasibility of using these two approaches on an IEEE 802.11s-based AMI network.

 

For seat reservation and more information please contact IEEE Miami Section staff at rmoha023@fiu.edu or bsukh002@fiu.edu.


November 14th, 2014

123

The Energy Systems Research Laboratory presents

Electric traction machine choices for

hybrid & electric vehicles

Invited Lecture by

James R. Hendershot

Date: Nov 20, 2014
Time:  2:00 PM– 3:00 PM
Address Department of Electrical and Computer Engineering Department, Florida International University, 10555 W. Flagler Street, Miami, Florida 33174
Room: EC-2300

Abstract: How and why did the design engineers decide which electric machine type to develop for modern hybrid & electric vehicles? Similar machine types seem to be used in all hybrids. The all electric vehicles have been developed using a different machine topology. This presentation reviews theToyota Prius hybrid vehicle and many that followed to gain insight to this question. We will explain vehicle traction motor design and selection. The audience will come away with clear understanding of the choices, some tradeoffs and a starting placein mind for their own efforts. Details will be presented for the drive train of nearly every such vehicle currently in production. Knowledge of what has been done earlier will help avoid re-invention.

 

Short Bio: James R. Hendershot is the CEO of Motor Solver, LLC – the designer & supplier of teaching Dyno-Kits to domestic and foreign universities for the ONR/NSF sponsored Curriculum Courses called Reforming Electric Energy Systems Curriculum for Renewable/Storage, Smart Delivery and Efficient End User. Mr.Hendershot was tutored in the design, Development and testing of PM brushless motors and generators by Mr Gene Aha,(the original developer of PM brushless machines for the Apollo Space Program).He was one of the early developers of Switched Reluctance motors and generators. His Research interests include developing generators and alternators for wind-turbines, EV’s, and gas micro-turbines.

 

 

For seat reservation and more information please contact IEEE Miami Section staff at rmoha023@fiu.edu or bsukh002@fiu.edu.

 

To download his presentation click here.

 

Here are some pictures from this event:

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September 23rd, 2014

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Department of Electrical & Computer Engineering, Florida International University, College of Engineering &                        Computing In Conjunction with the Institute of Electrical and Electronics Engineers, Inc. Industry                                           Applications Society is pleased to invite you to lecture on

 

                          “Modeling and Updating Opin-ions and                                              

                                    Reaching a Consensus ”

                                   by      Kamal Premaratne, Ph.D. University of Miami

                                              Electrical and Computer Engineering                                                           

Date: Oct 23, 2014
Time: 6:00 pm – 8.00  pm
Place Engineering Centre
ECE Conference Room (EC 3753)

 

ABSTRACT:
Soft evidence sources (i.e., human-based evidence) play a critical role in social networks and similar settings, where subjective evi-dence (e.g., opinions) is the norm. Study of opinion dynamics in these scenarios requires agent models that can capture the types of uncertainties and nuances characteristic of soft evidence (e.g., subjectivity of human-generated evidence, confidence bounds associated with such evidence). Convergence analysis becomes an extremely difficult problem in such environments because of evidence updating strategies, delays in evidence updating, and dynamic link structure (the set of ‘neighbors’ of an agent is not static). To address the corresponding challenges, we employ a Dempster-Shafer (DS) belief theoretic agent model. The consensus protocol we employ is guaranteed to generate what we refer to as a rational consensus, a notion which justifies the use of the con-sensus state to estimate the ground truth (even when it is unknown or only partially known). Its DS theoretic basis easily adapts itself to situations where agent states are captured with probability mass functions (which can be viewed as a special case of DS theoretic models). We also explore how this consensus protocol can be used to capture notions from social judgment theory (e.g., global affinity and the nature of persuasion of agents) thus leading to the formation of consensus clusters.

 

BIOGRAPHY :         

Kamal Premaratne                                                                                                                                                                                                                                                                                                                              Kamal Premaratne received the B.Sc. degree in Electronics and Telecommunication Engineering (with First-Class Honors) from University of Moratuwa, Sri Lanka. He obtained his M.S. and Ph.D. degrees, both in Electrical and Computer Engineering, from the University of Miami, Coral Gables, Florida, USA, where he is presently a Professor. He has received the “Mather Premium” and the “Heaviside Premium” of the Institution of Electrical Engineers (IEE), London, UK, and the “Eliahu I. Jury Excellence in Research Award” of the College of Engineering, University of Miami. He has served as an Associate Editor of the IEEE Transactions on Signal Processing and the Journal of the Franklin Institute. He is a Fellow of IET (formerly IEE) and a Senior Member of IEEE. His research interests include belief theory, evidence fusion, machine learning and knowledge discovery from imperfect data. His current work is sponsored by the US National Science Foundation (NSF) and the US Office of Naval Research (ONR).


September 15th, 2014

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The IEEEXtreme team would like to extend a personal invitation to all IEEE members who would be interested in hosting, proctoring, or competing in IEEEXtreme 8.0, IEEE’s flagship computer programming competition beginning on 18 October, 2014 at 00:00 UTC. IEEEXtreme is a great opportunity for college students to prove their coding skills in a well-known international competition and compete for a set of great prizes.

Please post publicly some IEEEXtreme 8.0 flyers at your local school and spread the word about the competition!

Important points to keep in mind:

•There is no direct fee for participating in the competition, as it is an educational entertainment benefit for our IEEE student members.

•We will be hosting informational webinars on IEEEXtreme topics on 19 September and 26 September, which anyone interested can sign up for here: https://docs.google.com/a/fiu.edu/forms/d/1qTvOb2omUh-Z0HLE2OFzFQvc2ykxulO7Ph58QSaxM2o/viewform

•We have developed a short student/proctor guide on hosting an IEEEXtreme event and a media press kit for convenient advertising, both of which can find on the Xtreme website.

•You can check out our IEEEXtreme website (www.ieee.org/xtreme) for further registration information and competition rules. Any related questions can be directed to IEEEXtreme@ieee.org.

 

Xtreme-8.0-Press-Kit

Xtreme-8.0-Student-and-Proctor-Guide


July 1st, 2014

Department of Electrical & Computer Engineering, Florida International University, College of Engineering & Computing In Conjunction with the Institute of Electrical and Electronics Engineers, Inc. Industry Applications Society is pleased to invite you to lecture on

LLG micromagnetic analysis of perpendicular recording heads
- Energy-assisted magnetic recording -

by Professor Yasushi KANAI, Dr. Eng.

Department of Information and Electronics Engineering
Niigata Institute of Technology, Japan FIU

Date: Aug. 18, 2014
Time: 2:00 PM
Place:  ECE Department, FIU
10555 W. Flagler Street, Miami, Florida
ECE Conference Room (EC 3753)

Abstract:
Thermally-assisted magnetic recording (TAMR) and microwave-assisted magnetic recording (MAMR) are the two candidates for achieving an areal density of multi-terabit per square inch (Tbit/in2 firsthalf, magnetic write heads are modeled and analyzed micromagnetically for TMAR combined with shingled recording, targeting an areal density of 8 Tbit/in2 more than 8 Tbit/in2 system. In the second half, a model analysis was used to investigate a spin-transfer torque oscillator (STO) and magnetic write head for shingled MAMR, where the interactions between STO and write head were included. The magnetic head had a tilted main pole (MP) – trailing shield (TS) gap with respect to the medium surface. The head structure gives a larger recording field gradient in the crosstrack direction due to the wide pole. A STO placed in a tilted MP–TS gap had stable oscillation at cost of a small reduction in oscillation amplitude. is possible with shingled recording, compared with 4.4 Tbit/in2

For Seat Reservation Contact: Mr. Bharat 305-348-6194

For Lecture Information Contact Dr. O. A. Mohammed (mohammed@fiu.edu) Tel: 305-348-3040.

 

Some of the pictures from this event:

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