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Events for April 11, 2008
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Coding and Message-Passing for Large-Scale Distributed Storage and Inference
Fri, Apr 11, 2008 @ 10:30 AM - 11:30 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
SPEAKER: Alexandros G. Dimakis, EECS Dept, UC BerkeleyABSTRACT: Multiple recent advances in technology have catalyzed a paradigm shift away from centralized schemes and in the direction of distributed and cooperative architectures for large-scale systems. In applications like data centers, sensor networks, and peer-to-peer networks, coding is used to introduce redundancy for robustness. I will show that network coding can surprisingly reduce the communication requirements compared to standard Reed-Solomon codes used in current architectures. Further, I will present novel information theoretic performance bounds and explicit network codes that achieve optimal performance.For the case of large-scale distributed inference, I will present some novel message-passing algorithms and show explicit results on convergence rate. In particular, I will present the first gossip algorithm that scales linearly in the number of nodes for a large class of geometric graphs, resolving an open problem in this active new research area.BIO: Alex Dimakis is a Ph.D. candidate in the department of Electrical Engineering and Computer Sciences at UC Berkeley working with Prof. Martin Wainwright and Prof. Kannan Ramchandran. He received the Diploma degree in Electrical and Computer Engineering from the National Technical University of Athens in 2003 and the M.S. degree in Electrical Engineering from UC Berkeley in 2005. His research interests include Communications, Signal Processing, and Networking with applications in distributed systems and sensor networks. Mr. Dimakis has received two outstanding paper awards, the UC Berkeley Departmental Fellowship in 2003, and the Microsoft Research Fellowship in 2007.HOST: Prof. Keith Chugg, chugg@usc.edu
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Mayumi Thrasher
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Honors Colloquium Lecture
Fri, Apr 11, 2008 @ 01:00 PM - 01:50 PM
Viterbi School of Engineering Student Affairs
Conferences, Lectures, & Seminars
Lecture offered by Mr. David M. Bowman, Vice President & C-17 Program Manager for The Boeing Company, Global Mobility Systems
Location: Olin Hall of Engineering (OHE) - 122
Audiences: Honors Program Students and all Faculty and Staff are invited to attend
Contact: Erika Chua
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Low-Cost High-Efficiency Distributed Hydrogen Production for Combined Heat and Power
Fri, Apr 11, 2008 @ 01:00 PM - 02:00 PM
Sonny Astani Department of Civil and Environmental Engineering
Conferences, Lectures, & Seminars
Dr. Durai Swamy, Intelligent Energy, Inc.Intelligent Energy is developing a new-generation 1-10 kWe CHP unit that achieves the high efficiency, high durability and low cost targets simultaneously includes a bold optimization and integration of existing IE technology platforms. The CHP unit will be based on IE's open architecture integration philosophy that maintains a high purity hydrogen interface between the hydrogen generation and fuel cell subsystems. The fuel cell subsystem will be derived from IE's 2kWe CHP platform and its advanced 10kWe auxiliary power unit platform that achieves 60% efficiency on pure hydrogen. An innovative hydrogen generation subsystem will be developed to support the aggressive costs and performance targets, but will leverage IE's experience from two validated technology platforms: - IE's 100 to 500We membrane reformer that achieves 99.9+% purity on seven different fuel types, and its 10kWe steam reformer integrated with a fast cycle pressure swing adsorption hydrogen purification system. Both of these H2 generation platforms achieve only efficiencies in the range of 60-65% currently. IE plans to investigate significant improvements in these technologies to increase the H2 generation efficiency over 75%.
The greatest challenge of the development will be to achieve an optimized balance between increased stack performance (high cell voltage at high current densities), low cost cell components, increased hydrogen generation efficiency (high fuel conversion, lower steam/carbon ratios, maximum recuperation of heat and water vapor, and high hydrogen recovery factors), low parasitic power components and efficient grid connected inverter, and least cost balance of plant in a fully integrated system.
Location: Kaprielian Hall (KAP) - 209
Audiences: Everyone Is Invited
Contact: Evangeline Reyes
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A Systems Architecting Case Study: Technical and Operational Assessment of Molecular Nanotechnology
Fri, Apr 11, 2008 @ 02:00 PM - 03:00 PM
Daniel J. Epstein Department of Industrial and Systems Engineering
University Calendar
Daniel J. Epstein Department of Industrial and Systems Engineering SeminarA Systems Architecting Case Study: Technical and Operational Assessment of Molecular Nanotechnology for Space Operations Professor Tom McKendreeAdjunct Associate, University of Southern CaliforniaABSTRACT: I present a systems architecting a case study of technology impact assessment in which the technology is potentially powerful enough to significantly change the preferred system architectures. Molecular nanotechnology, the emerging ability to design and build systems to atomic precision, has been suggested to offer great benefits to space systems and space operations. The research problem is to assess that claim. More generally the problem is how to approach the generic problem of assessing the potential application of a promising new technology to a broad application area.In many areas, such as aerospace, system lifetimes are large relative to technology cycles, and system technologies must be analyzed for refreshment and insertion. Consequently, this sort of assessment is necessary to estimate the potential for major architecture changes resulting from potential major technical advances. The assessment is structured by defining four technology levels, a current technology baseline and three increasingly capable levels of molecular nanotechnology. Five different space system architectures are assessed against these four levels: solar electric ion engines, solar sails, chemical rockets, planetary skyhooks and towers, and tethers. The talk primarily addresses the first two. The assessments rely on system modeling, and often further development of preferred system concepts to effectively exploit the potential of a particular technology level. In addition, an operational assessment is made. First a multi-faceted scenario for space transportation is defined based on an extension of the classic facility location problem to address source, sink and facility locations in orbital space. The best system architecture for space transportation at each technology level is then assessed for performance on the scenario. The assessment for each technology level uses the best corresponding space transportation architecture, and also requires scenario-specific tuning of system designs to balance system cost and performance. The presentation includes a summary of the assessment results and lessons learned for conducting comparable assessments of technology across system architectures. FRIDAY, APRIL 11, 2008, ANDRUS GERONTOLOGY BLDG (GER) 309, 2:00-3:00 PM
Location: Ethel Percy Andrus Gerontology Center (GER) - 309
Audiences: Everyone Is Invited
Contact: Georgia Lum
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Opportunistic Scheduling with Reliability Guarantees in Cognitive Radio Networks
Fri, Apr 11, 2008 @ 03:00 PM - 04:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Rahul UrgaonkarAbstract: We consider a cognitive radio network with static primary users (that are the licensed owners of the spectrum) and potentially mobile secondary users that try to send their data to the access points by utilizing idle primary channels. We develop opportunistic transmission scheduling policies for such networks that maximize the throughput utility of the secondary users subject to maximum collision constraints with the primary users. We use the technique of Lyapunov Optimization to design an online flow control, scheduling and resource allocation algorithm that meets the desired objectives and provides explicit performance guarantees. Specifically, our algorithm provides tight reliability guarantees in the form of a bound on the worst case number of collisions suffered by a primary user in any time interval. This algorithm operates without requiring a-priori knowledge of the mobility patterns of the secondary users and yields an average throughput utility that can be pushed arbitrarily close to the optimal value, with a trade-off in average delay.Bio: Rahul Urgaonkar obtained the B.Tech. degree in Electrical Engineering from the Indian Institute of Technology (IIT) Bombay in 2002 and the M.S. degree in Electrical Engineering from the University of Southern California, Los Angeles in 2005. He is currently a PhD student in Electrical Engineering at USC. His research interests are in the areas of stochastic network optimization, resource allocation, and scheduling in next generation Wireless Networks.
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Gerrielyn Ramos
