Select a calendar:
Filter November Events by Event Type:
SUNMONTUEWEDTHUFRISAT
Events for November 02, 2005
-
Meet USC (AM session)
Wed, Nov 02, 2005 @ 09:00 AM - 12:00 PM
Viterbi School of Engineering Undergraduate Admission
Workshops & Infosessions
This half day program is designed for prospective freshmen and family members. Meet USC includes an information session on the University and the Admission process; a student led walking tour of campus and a meeting with us in the Viterbi School. Meet USC is designed to answer all of your questions about USC, the application process and financial aid.Reservations are required for Meet USC. Please call the USC Admission Center at (213) 740-6616 to check availability and to make an appointment. Be sure to tell them you are interested in Engineering!
Location: USC Admission Center
Audiences: Prospective Freshman and Family Members - RESERVATIONS REQUIRED
Contact: Viterbi Admission
-
Citrus College Transfer Fair
Wed, Nov 02, 2005 @ 10:00 AM - 01:00 PM
Viterbi School of Engineering Undergraduate Admission
Workshops & Infosessions
Come meet Danielle Neves-Cole, Assistant Director of Transfer Admission at the Transfer Fair. She can provide more information on the USC Viterbi School's engineering curriculum, admission requirements and student life.
Location: Citrus College
Audiences: Prospective Transfer Students
Contact: Undergraduate Admission
-
Estimation Theory and Mutual Information
Wed, Nov 02, 2005 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Sergio Verdu, Princeton UniversityAbstract: For signals observed in Gaussian noise, there are several interesting intersections between information theory and linear and nonlinear minimum mean-square error (MMSE) estimation. We have shown a new relationship between the input-output mutual information and the MMSE achievable by the optimal estimator of the input. This relationship holds for arbitrarily distributed scalar and vector signals, as well as for discrete-time and continuous-time noncausal MMSE estimation (smoothing). We have also recently shown the counterpart of these results in discrete-input discrete-output channels. I will also discuss several applications of these information theoretic results: the mercury/waterfilling formula for power allocation with arbitrary input constellations; a universal continuous-time nonlinear filtering formula that couples the signal-to-noise ratios achievable by smoothing and filtering; and a very simple proof of the entropy-power inequality.Bio: Sergio Verdú is a Professor of Electrical Engineering at Princeton University where he teaches and conducts research on information theory.In 1998, Cambridge University Press published his book "Multiuser Detection," which received the Frederick E. Terman Award from the American Society for Engineering Education. His papers have received several awards: the D. Fink Paper Award from the IEEE, the 1998 Information Theory Outstanding Paper Award, a Golden Jubilee Paper Award from the IEEE Information Theory Society, the 2000 Paper Award from the Japan Telecommunications Advancement Foundation, and the 2002 Leonard G. Abraham Prize Award from the IEEE Communications Society. He has received a Doctorate Honoris Causa from the Polytechnic University of Catalonia.Sergio Verdú served as President of the IEEE Information Theory Society in 1997 and is currently Editor-in-Chief of Foundations and Trends in Communications and Information Theory.Host: Giuseppe Caire, caire@usc.edu
Location: Hedco Neurosciences Building (HNB) - Auditorium
Audiences: Everyone Is Invited
Contact: Mayumi Thrasher
-
SILICON AND QUARTZ MEMS INERTIAL SENSORS FOR AVIONICS AND SPACE APPLICATIONS
Wed, Nov 02, 2005 @ 12:00 PM - 01:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Santiram Kal
Dept. of Electronics & Elect. Commun. Engg.
Indian Institute of Technology A major attention of micromachining technology has recently been focused on miniature inertial sensors. Rapid advancement of micromachined accelerometer technology has enabled cost effective high performance micro accelerometers that revolutionizes the traditional accelerometer market. Apart from commercial and consumer applications, one major applications of miniature high precision accelerometer is in the field of avionics and space. This lecture deals with the development of both silicon and quartz micromachined MEMS accelerometers and gyros for avionics and space applications. An accelerometer of the range of âb 13 g with very low off-axis acceleration, a resolution of âb 2 mg and a linearity of less than 1% has been designed and fabricated. As the piezoresistive accelerometers are less susceptible to parasitic capacitance and electromagnetic interference, we opted for the same because of simple fabrication process and read out circuitry. The piezoresistive accelerometer consists of a silicon base, a proof mass supported by double cantilever beam and cap layers. Coventorware 2001.3 software package has been used to design the accelerometer. Simulation results indicate that the maximum output voltage under 13 g acceleration along z-axis is nearly 20 mV with 5 volts bridge supply whereas off-axis response is about 3-4 order less than z-axis response, which is one of the requirement of the navigational grade accelerometers. TMAH based five mask accelerometer technology has been indigenously developed at IIT Kharagpur and the MEMS accelerometers were fabricated, bonded and packaged. Interface electronics for the MEMS accelerometer has been designed and the chips were tested with available facilities. Characterization of the chip has been conducted up to âb 10 g and results are found to be highly encouraging. Plot of acceleration with output voltage is found to be highly linear (< 1 %) and with negligible offset value. The off-axis sensitivity was less than nearly two orders of magnitude than z-axis acceleration. IIT Kharagpur was the first in India to develop quartz micromachining technology. The indigenous development of the quartz technology is considered significant because quartz micromachining is protected technology with very little details are available in scientific literature. We have made use of this technology to fabricate tiny dual tuning fork structures with built-in electrodes via flexures, for sensing rotation (gyro), and double-ended tuning forks (DETF) used in MEMS accelerometers. This lecture also covers design and fabrication of quartz double-ended tuning fork accelerometer and dual tuning fork gyros.Location: Olin Hall of Engineering (OHE) - 230
Audiences: Everyone Is Invited
Contact: Ericka Lieberknecht
-
Meet USC (PM session)
Wed, Nov 02, 2005 @ 01:00 PM - 04:00 PM
Viterbi School of Engineering Undergraduate Admission
Workshops & Infosessions
This half day program is designed for prospective freshmen and family members. Meet USC includes an information session on the University and the Admission process; a student led walking tour of campus and a meeting with us in the Viterbi School. Meet USC is designed to answer all of your questions about USC, the application process and financial aid.Reservations are required for Meet USC. Please call the USC Admission Center at (213) 740-6616 to check availability and to make an appointment. Be sure to tell them you are interested in Engineering!
Location: USC Admission Center
Audiences: Prospective Freshman and Family Members - RESERVATIONS REQUIRED
Contact: Viterbi Admission
-
Special Seminar: Can Distributed Local Saliency Computations Solve the Feature Binding
Wed, Nov 02, 2005 @ 03:00 PM - 04:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
TITLE: Can Distributed Local Saliency Computations Solve the Feature Binding
Problem?John K. TsotsosYork University, Toronto, Canada
Director, Center for Vision Research
Professor, Department of Computer Science & Engineering
Canada Research Chair in Computational VisionHOST: Laurent itti Abstract:
Computational vision has a long history of proposing methods for
decomposing a visual signal into components. For example, many good
strategies have appeared for decomposing visual motion signals (such as
Heeger, Sperling). What has been far more elusive is how to recombine
those components into a whole. This problem has even merited its own name
- the binding problem. To date no realizable process has appeared to solve
the binding problem, even in part, although several proposals have
appeared. This paper proposes a novel solution for a significant portion
of the binding problem, namely, the re-combination of visual features into
larger patterns and their localization in the image. The solution requires
the abandonment of the nearly ubiquitous saliency map and adoption of a
distributed, localized computation of saliency that is dependent on local
neural selectivity constraints. This strategy is demonstrated within a
fully implemented model that attends to simple motion patterns in image
sequences.
-------------------------------------------------Location: Hedco Neurosciences Building (HNB) - -107
Audiences: Everyone Is Invited
Contact: Vishal Thakkar
-
PCC Information Session
Wed, Nov 02, 2005 @ 05:00 PM - 08:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
Join representatives of this company as they share general company information and available opportunities.
Location: Seeley G. Mudd Building (SGM) - 101
Audiences: All Viterbi Students
Contact: Viterbi Career Services RTH 218
-
CH2M Hill Information Session
Wed, Nov 02, 2005 @ 06:00 PM - 08:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
Join representatives of this company as they share general company information and available opportunities.
Location: Ronald Tutor Hall of Engineering (RTH) - 211
Audiences: All Viterbi Students
Contact: Viterbi Career Services RTH 218
