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Events for April 19, 2013

  • Six Sigma Black Belt

    Fri, Apr 19, 2013 @ 09:00 AM - 05:00 PM

    Executive Education

    Conferences, Lectures, & Seminars


    Speaker: TBA,

    Talk Title: Six Sigma Black Belt

    Abstract: Course Overview

    This course teaches you the advanced problem-solving skills you'll need in order to measure a process, analyze the results, develop process improvements and quantify the resulting savings. Project assignments between sessions require you to apply what you�ve learned. This course is presented in the classroom in three five-day sessions over a three-month period.

    Learn the advanced problem-solving skills you need to implement the principles, practices and techniques of Six Sigma to maximize performance and cost reductions in your organization. During this three-week practitioner course, you will learn how to measure a process, analyze the results, develop process improvements and quantify the resulting savings. You will be required to complete a project demonstrating mastery of appropriate analytical methods and pass an examination to earn IIE�s Six Sigma Black Belt Certificate.This practitioner course for Six Sigma implementation provides extensive coverage of the Six Sigma process as well as intensive exposure to the key analytical tools associated with Six Sigma, including project management, team skills, cost analysis, FMEA, basic statistics, inferential statistics, sampling, goodness of fit testing, regression and correlation analysis, reliability, design of experiments, statistical process control, measurement systems analysis and simulation. Computer applications are emphasized.


    NOTE: Participants must bring a laptop computer running Microsoft Office� to the seminar.

    Course Topics

    * Business process management
    * Computer applications
    * Design of experiments (DOE)
    * Design for Six Sigma (DFSS)
    * DMAIIC
    * Enterprisewide deployment
    * Lean enterprise
    * Project management
    * Regression and correlation modeling
    * Statistical methods and sampling
    * Statistical process control
    * Team processes

    Benefits

    Upon completion of this course, you will be able to:

    * Analyze process data using comprehensive statistical methods
    * Control the process to assure that improvements are used and the benefits verified
    * Define an opportunity for improving customer satisfaction
    * Implement the recommended improvements
    * Improve existing processes by reducing variation
    * Measure process characteristics that are critical to quality

    Who Should Attend

    * VPs, COOs, CEOs
    * Employees new to a managerial position
    * Employees preparing to make the transition to managerial roles
    * Current managers wanting to hone leadership skills
    * Anyone interested in implementing Lean or Six Sigma in their organization

    Program Fees

    On-Campus Participants: $6095
    Includes continental breakfasts, lunch and all course materials. The fee does not include hotel accommodations or transportation.

    Online Participant with Live Session Interactivity: $6095

    Includes attendee access codes for live call-in or chat capabilities during class sessions. Also includes all course and lecture materials available for live stream or download.



    Reduced Pricing:

    Institute of Industrial Engineers (IIE): Reduced pricing is available for members of IIE. Please contact professional@mapp.usc.edu for further information.

    Trojan Family: USC alumni, current students, faculty, and staff receive 10% reduced pricing on registration.

    Boeing: Boeing employees receive 20% off registration fees (please use Boeing email address when registering).

    Location
    Two course delivery options are available for participants, on-campus and online with interactivity:

    On-Campus Course is held in state-of-the-art facilities on the University of Southern California campus, located in downtown Los Angeles. Participants attending on-campus will have the option to commute to the course or stay at one of the many hotels located in the area. For travel information, please visit our Travel section.

    Overview of on-campus option:

    * The ability to interact with faculty and peers in-person.
    * Access to hard copy course materials.
    * Ability to logon and view archived course information - up to 7 days after the course has been offered. This includes course documents and streaming video of the lectures.
    * If there is a conflict during any on-campus course dates, on-campus participants can elect to be an online/interactive student.
    * Parking, refreshments and lunch are provided for on-campus participants � unless otherwise specified.

    Online (Interactivity) Course delivery is completely online and real-time, enabling interaction with the instructor and fellow participants. Participants have the flexibility of completing the course from a distance utilizing USC's Distance Education Network technology. Students are required to be online for the entirety of each day's session.

    Overview of online (interactive):

    * Virtually participate in the course live � with the ability to either ask questions or chat questions to the entire class.
    * WebEx technologies provide the option to call into the class and view the entire lecture/materials on a personal computer, or to participate on a computer without having to utilize a phone line.
    * Ability to logon and view archived course information up to 7 days after the course has been offered. This includes course documents and streaming video of the lectures.

    Continuing Education Units
    CEUs: 10.5 (CEUs provided by request only)


    USC Viterbi School of Engineering Certificate of Participation is awarded to all participants upon successful completion of course.

    Upon completion, participants will also receive their Institute of Industrial Engineers certification in SIx Sigma Black Belt.

    Host: Corporate and Professional Programs

    More Info: http://gapp.usc.edu/professional-programs/short-courses/industrial%26systems/six-sigma-black-belt

    Audiences: Registered Attendees

    Contact: Viterbi Professional Programs

    Event Link: http://gapp.usc.edu/professional-programs/short-courses/industrial%26systems/six-sigma-black-belt

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  • Backscatter, MIMO, Ultra-Wideband: Three Independent Worlds?

    Fri, Apr 19, 2013 @ 10:30 AM - 11:30 AM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Daniel Arnitz, Duke University

    Talk Title: Backscatter, MIMO, Ultra-Wideband: Three Independent Worlds?

    Abstract: Three systems have independently revolutionized the physical layer of wireless communications in the past decade: backscatter communications, multi-input-multi-output systems, and ultra-wideband signaling. Yet, are these concepts as independent and incompatible as they initially appear, or can these fields learn from each other? The talk will span topics from backscatter tag localization (i.e. secondary radar), ultra-wideband backscatter propagation channels, and MIMO wireless power transfer, to a potential new application of these technologies: real-time ultra-wideband channel modeling.



    Biography: Daniel Arnitz is a PostDoc at Duke University (NC, USA), working on backscatter channel modeling and prediction, MIMO wireless power transfer, and RFID localization. He received his Master degree Dipl.-Ing.(FH) in electrical engineering from the University of Applied Sciences FH Joanneum Kapfenberg, Austria, in 2005, and a Ph.D. (Dr. techn.) degree from Graz University of Technology, Austria, in 2011 (both degrees with honors). His Ph.D. thesis covers the field of tag localization in passive UHF RFID and his diploma thesis focused on a feasibility study of (burst) error correcting codes for long-range RFID systems. Daniel is TPC Chair of IEEE RFID 2012 and 2013 and maintainer of the PARIS simulation framework, an open-source simulation engine intended for researching (ultra-)wideband backscatter systems.



    Host: Andreas Molisch, x04670, molisch@usc.edu

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248

    Audiences: Everyone Is Invited

    Contact: Gerrielyn Ramos

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  • W.V.T. Rusch Honors Program; Cellular Networks: Big Problems Ahead

    Fri, Apr 19, 2013 @ 01:00 PM - 01:50 PM

    USC Viterbi School of Engineering, Viterbi School of Engineering Student Affairs

    Conferences, Lectures, & Seminars


    Speaker: Randy Battat, President and CEO, Airvana

    Talk Title: Cellular Networks: Big Problems Ahead

    Host: W.V.T. Rusch Honors Program

    Location: Seeley G. Mudd Building (SGM) - 101

    Audiences: Everyone Is Invited

    Contact: Christine Viterbi Admission & Student Affairs

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  • Integrated Systems Seminar Series

    Fri, Apr 19, 2013 @ 02:30 PM - 03:30 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Prof. Donhee Ham, Harvard University

    Talk Title: Solid-state and Biological Systems Interface

    Abstract: The complexity, programmability, small size, and low cost of solid-state devices in direct contact with living organisms or their in vitro or ex vivo subsystems can open up new exciting vistas in biology and biotechnology. In this talk, I would like to review some recent developments along this direction, especially, some past and on-going works in my own research group at Harvard. These will include spin-resonance based radio-frequency (RF) biomolecular sensors, and a variety of silicon + electrochemistry interfaces aimed at analyzing proteins, DNA, and population cellular dynamics for personalized medicine, genetics, and neurotechnology.

    Biography: Donhee Ham, from Busan, South Korea, and a 2011, 2012, and 2013 Harvard Yearbook Favorite Professor, is Gordon McKay Professor of Applied Physics and EE at Harvard University. He earned a B.S. degree in physics from Seoul National University where he graduated summa cum laude with the Presidential Prize, ranked top 1st across the College of Natural Sciences, and also with the Physics Gold Medal (sole winner). Following a 1.5 years of mandatory military service in the Republic of Korea Army, he went to Caltech for graduate training in physics. There he worked on general relativity and gravitational astrophysics under Professor Barry Barish, and later obtained a Ph.D. in EE winning the Charles Wilts Prize awarded for the best thesis in EE. His doctoral work examined the statistical physics of electrical circuits. He was the recipient of the IBM Doctoral Fellowship, Li Ming Scholarship, IBM Faculty Partnership Award, IBM Research Design Challenge Award, the KFAS fellowship,the Hoopes prize (/w William Andress), and the recognition by MIT Technology Review as among the world's top 35 young innovators in 2008 (TR35). Ham was one of 8 Harvard Thinks Big speakers in 2012 (8 Harvard faculty chosen by college-wide votes). He is an IEEE Distinguished Lecturer. Donhee Ham's work experiences include Caltech-MIT Laser Interferometer Gravitational Wave Observatory (LIGO), IBM T. J. Watson Research, Consulting Visiting Professorship at POSTECH, IEEE conference technical program committees, advisory board, or associated/guest editorships in, for example, the IEEE ISSCC, IEEE ASSCC, IEEE ISCAS, IEEE T-Biocas, and IEEE JSSC, and various US, Korea, and Japan industry, government, & academic technical advisory positions. The current intellectual focus efforts of his group are in: 1) solid-state and biological systems interface; 2) nanoscale and/or low-dimensional plasmonics, spintronics, and quantum devices; 3) analog, RF/microwave, and mixed-signal integrated circuits.

    Host: Prof. Hossein Hashemi and Prof. Mike Chen

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248

    Audiences: Everyone Is Invited

    Contact: Hossein Hashemi

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  • CEE Ph.D. Seminar

    Fri, Apr 19, 2013 @ 04:00 PM - 05:00 PM

    Sonny Astani Department of Civil and Environmental Engineering

    Conferences, Lectures, & Seminars


    Speaker: Prof. Xavier -Sanchez-Vila , Technical University of Catalonia - BarcelonaTech (UPC)

    Talk Title: Providing simple solutions for evaluating reaction rates in complex multispecies reactive transport problems

    Abstract:
    Mixing of waters in perfect chemical equilibrium with a given mineral leads indefectibly to local disequilibrium. A reaction takes place then in order to re-equilibrate the system. This reaction can be either precipitation or dissolution (in this latter case limited by mineral availability. Both reactions can lead eventually to changes in porosity and permeability at the local scale. The fate of solutes in natural systems, such as rivers and aquifers, are thus controlled by mixing, which in groundwater is a consequence of local diffusion/dispersion. The presentation will discuss a new methodology for computing exactly reaction rates on complex multicomponent reactive transport problems involving precipitation-dissolution of minerals. We start from the simple problem of the evaluation of reaction rates at the local scale when reactions are in equilibrium. Then we move to the problem of kinetic reactions on one hand, and to upscaling reaction rates on the other. All the soluti ons are exemplified by means of relatively simple flow set-ups, which allow obtaining analytical solutions even for quite complex geochemical set-ups. These solutions provide some insight to multispecies reactive problems, and more, can be used for benchmarking.

    Pizza is served at 5:00pm in KAP 209



    Host: Dr. Felipe de Barros

    Location: John Stauffer Science Lecture Hall (SLH) - 102

    Audiences: Everyone Is Invited

    Contact: Evangeline Reyes

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  • PhD Defense - Jan Prokaj

    Fri, Apr 19, 2013 @ 04:00 PM - 05:30 PM

    Thomas Lord Department of Computer Science

    Receptions & Special Events


    Ph.D. candidate: Jan Prokaj
    Time: 4:00pm to 5:30pm, April 19, 2013
    Location: GFS104
    Committee:
    Gerard Medioni (chairman)
    Ramakant Nevatia
    Shrikanth Narayanan
    Title: Exploitation of Wide Area Motion Imagery

    Abstract:

    Current digital photography solutions now routinely allow the capture of tens of megapixels of data at 2 frames per second. At these resolutions, a geographic area covering a whole city can be captured at once from an unmanned aerial vehicle (UAV), while still allowing the recognition of vehicles and people (for sensors under development). This fact, in tandem with the availability of increased computational power, has led to the growth of wide area motion imagery (WAMI).

    Our objective is to develop algorithms that automatically process the imagery of interest and turn it into a more useful, informative form. This more informative form can exist at different levels of semantics, from low-level to high-level. Therefore, the set of algorithms we propose operates in range from low-level processing to high-level processing.

    WAMI data is often captured by an array of cameras. Therefore, at the lowest level, we need an algorithm that takes an array of individual camera images and estimates a high quality mosaic. We propose a piecewise affine model to handle all image deformations that deviate from the standard pinhole camera model.

    The next level of processing involves estimating the trajectories of all moving objects, or ``tracking.'' We propose a tracking algorithm that optimally infers short tracks using Bayesian networks. These tracklets are then integrated into a multi-object tracking algorithm that achieves good performance on aerial surveillance video. When coupled with a regression-based tracker, stopping targets can be handled.

    WAMI is often collected over urban areas, where there are tall buildings, and other structures, which cause severe occlusion that in turn causes significant track fragmentation. To solve this problem, we propose a method which links fragmented tracks using known 3D scene structure.

    In order to enable large scale semantic analysis of WAMI data, higher level algorithms that determine at least some of the semantics are necessary. We propose a framework based on the Entity Relationship Model that is able to recognize a large variety of activites on real data as well as GPS tracks.

    When very high resolution data are available, such as from high-definition cameras on the ground, we want to infer even more semantics from video data. Under these circumstances, we propose an algorithm for vehicle classification that works with arbitrary vehicle pose.

    Location: Grace Ford Salvatori Hall Of Letters, Arts & Sciences (GFS) - 104

    Audiences: Everyone Is Invited

    Contact: Lizsl De Leon

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