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Events for the 4th week of June
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Six Sigma Green Belt for Process ImprovementTue, Jun 21, 2016
DEN@Viterbi, Executive Education
Conferences, Lectures, & Seminars
Abstract: Course Dates: June 21-23, 2016
Available: On-campus or Online with Interactivity
This program, an introductory course in Six Sigma, will give you a thorough understanding of Six Sigma and its focus on eliminating defects through fundamental process knowledge. Topics covered in addition to DMAIIC and Six Sigma philosophy include basic statistics, statistical process control, process capability, financial implications and root cause analysis.
More Info: https://gapp.usc.edu/professional-programs/short-courses/industrial-systems/six-sigma-green-belt-process-improvement
Audiences: Registered Attendees
Contact: Viterbi Professional Programs
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Six Sigma Green Belt for Process Improvement
Wed, Jun 22, 2016
DEN@Viterbi, Executive Education
Conferences, Lectures, & Seminars
Abstract: Course Dates: June 21-23, 2016
Available: On-campus or Online with Interactivity
This program, an introductory course in Six Sigma, will give you a thorough understanding of Six Sigma and its focus on eliminating defects through fundamental process knowledge. Topics covered in addition to DMAIIC and Six Sigma philosophy include basic statistics, statistical process control, process capability, financial implications and root cause analysis.
More Info: https://gapp.usc.edu/professional-programs/short-courses/industrial-systems/six-sigma-green-belt-process-improvement
Audiences: Registered Attendees
Contact: Viterbi Professional Programs
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MRI of Bound and Pore Water Concentration in Cortical Bone
Wed, Jun 22, 2016 @ 10:30 AM - 11:30 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Mary Katherine Mansard, Ph.D., Vanderbilt University
Talk Title: MRI of Bound and Pore Water Concentration in Cortical Bone
Series: Medical Imaging Seminar Series
Abstract: The current standard for diagnosing fracture risk comprises measurements of bone mineral density (BMD), primarily by dual-energy X-ray absorptiometry (DXA). However, bone strength is affected by many factors other than BMD, such as architecture, collagen content, and porosity. Nuclear magnetic resonance (NMR) measures of the water bound to the collagen matrix (bound water) and free water occupying pore space (pore water) have shown promise in further assessing fracture risk. The work presented here translates NMR based techniques into Magnetic Resonance Imaging (MRI) methods using an ultra-short echo time (UTE) acquisition; the Double Adiabatic Full Passage (DAFP) sequence for measuring pore water concentration and the Adiabatic Inversion Recovery (AIR) sequence to measure bound water concentration. These imaging methods can be used to obtain maps of bound and pore water content throughout the cortical bone volume. MRI methods were first validated against NMR methods and shown to have good repeatability in vivo, and then were compared to whole bone material properties and found to show significant correlations with strength and toughness. The AIR and DAFP methods, initially carried out with 3D data acquisition, were further improved by implementing half-pulse 2D UTE sequences which significantly reduced scan times to under a minute. The sequences are now being applied in populations of healthy and osteoporotic patients for longitudinal evaluation. In short, measures of bound and pore water concentration have the potential to give a new and more thorough evaluation of bone characteristics and health that is not obtainable with currently used methods.
Biography: Mary Kate Manhard received her B.S. degree in Electrical Engineering from Clemson University in 2010 and completed her Ph.D. at Vanderbilt in Biomedical Engineering under the direction of Dr. Mark Does in 2016. She is a member of the Vanderbilt University Institute of Imaging Science, and her research focuses on using Magnetic Resonance Imaging (MRI) to probe cortical bone characteristics as a potential predictor of fracture risk. She has implemented bone imaging protocols for a 3T Philips clinical scanner, and has verified that MRI bone measurements report on ex vivo material properties of bone. Recently, she has been applying her work to osteoporotic patients to assess response to treatment using bone MRI measurements.
Host: Professor Krishna Nayak
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Talyia White
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Six Sigma Green Belt for Process Improvement
Thu, Jun 23, 2016
DEN@Viterbi, Executive Education
Conferences, Lectures, & Seminars
Abstract: Course Dates: June 21-23, 2016
Available: On-campus or Online with Interactivity
This program, an introductory course in Six Sigma, will give you a thorough understanding of Six Sigma and its focus on eliminating defects through fundamental process knowledge. Topics covered in addition to DMAIIC and Six Sigma philosophy include basic statistics, statistical process control, process capability, financial implications and root cause analysis.
More Info: https://gapp.usc.edu/professional-programs/short-courses/industrial-systems/six-sigma-green-belt-process-improvement
Audiences: Registered Attendees
Contact: Viterbi Professional Programs
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NL Seminar-Neural network models for structured prediction
Thu, Jun 23, 2016 @ 03:00 PM - 04:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Yue Zhang, Singapore University of Technology and Design
Talk Title: Neural network models for structured prediction
Series: Natural Language Seminar
Abstract: Transition-based methods leverage non-local features for structured tasks. When combined with beam search and global structure learning, they give high accuracies for a number of NLP tasks. We investigate the effectiveness of neural network models for transition-based parsing and Chinese word segmentation. Results show that automatic features induced by neural models give higher accuracies than carefully designed manual features. The beam search and perceptron learning framework of Zhang and Clark (2011) can be used with neural network models. However, large margin training does not always work. When the number of labels are many, a maximum likelihood training objective with contrastive estimation learning gives better accuracies.
Biography: Yue Zhang is currently an assistant professor at Singapore University of Technology and Design. Before joining SUTD in July 2012, he worked as a postdoctoral research associate in University of Cambridge, UK. Yue Zhang received his DPhil and MSc degrees from University of Oxford, UK, and his BEng degree from Tsinghua University, China. His research interests include natural language processing, machine learning and artificial Intelligence. He has been working on statistical parsing, parsing, text synthesis, machine translation, sentiment analysis and stock market analysis intensively. Yue Zhang serves as the reviewer for top journals such as Computational Linguistics, Transaction of Association of Computational Linguistics and Journal of Artificial Intelligence Research. He is also PC member for conferences such as ACL, COLING, EMNLP, NAACL, EACL, AAAI and IJCAI. Recently, he was the area chairs of COLING 2014, NAACL 2015 and EMNLP 2015.
Host: Xing Shi and Kevin Knight
More Info: http://nlg.isi.edu/nl-seminar/
Location: Information Science Institute (ISI) - 6th Floor -CR # 689; ISI-Marina del Rey
Audiences: Everyone Is Invited
Contact: Peter Zamar
Event Link: http://nlg.isi.edu/nl-seminar/
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CS Seminar: Justine Sherry (UC Berkeley) - Middleboxes As A Cloud Service
Fri, Jun 24, 2016 @ 02:00 PM - 03:30 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Justine Sherry, UC Berkeley
Talk Title: Middleboxes As A Cloud Service
Series: CS Seminar Series
Abstract: Today's networks do much more than merely deliver packets. Through the deployment of middleboxes, enterprise networks today provide improved security -- e.g., filtering malicious content -- and performance capabilities -- e.g., caching frequently accessed content. Although middleboxes are deployed widely in enterprises, they bring with them many challenges: they are complicated to manage, expensive, prone to failures, and challenge privacy expectations.
In this talk, we aim to bring the benefits of cloud computing to networking. We argue that middlebox services can be outsourced to cloud providers in a similar fashion to how mail, compute, and storage are today outsourced. We begin by presenting APLOMB, a system that allows enterprises to outsource middlebox processing to a third party cloud or ISP. For enterprise networks, APLOMB can reduce costs, ease management, and provide resources for scalability and failover. For service providers, APLOMB offers new customers and business opportunities, but also presents new challenges. Middleboxes have tighter performance demands than existing cloud services, and hence supporting APLOMB requires redesigning software at the cloud. We re-consider classical cloud challenges including fault-tolerance and privacy, showing how to implement middlebox software solutions with throughput and latency 2-4 orders of magnitude more efficient than general-purpose cloud approaches. Some of the technologies discussed in this talk are presently being adopted by industrial systems used by cloud providers and ISPs
Biography: Justine Sherry is a computer scientist and doctoral candidate at UC Berkeley. She will be starting as an assistant professor in the computer science department at Carnegie Mellon in July 2017. Her interests are in computer networking; her work includes middleboxes, networked systems, measurement, cloud computing, and congestion control. Justine's dissertation focuses on new opportunities and challenges arising from the deployment of middleboxes -- such as firewalls and proxies -- as services offered by clouds and ISPs. Justine received her MS from UC Berkeley in 2012, and her BS and BA from the University of Washington in 2010. She is an NSF Graduate Research Fellow, has won paper awards from both USENIX NSDI and ACM SIGCOMM, and is always on the lookout for a great cappuccino.
Host: Ethan Katz-Bassett
Location: Henry Salvatori Computer Science Center (SAL) - 213
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
