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| Nokia Distinguished Lecture: Bill Spencer on Smart Sensing TTue, 28 Oct 2008 13:45:52 -0700 by citrisucNokia Distinguished Lecture: Bill Spencer on Smart Sensing TechnologySmart Sensing Technology: A New Paradigm for Structural Health MonitoringBill Spencer Department of Civil & Environmental Engineering University of Illinois at Urbana-ChampaignAbst ract: The ability to continuously monitor the integrity of civil infrastructure in real-time offers the opportunity to reduce maintenance and inspection costs, while providing for increased safety to the public. Furthermore, after natural disasters, it is imperative that emergency facilities and evacuation routes, including bridges and highways, be assessed for safety. Addressing all of these issues is the objective of structural health monitoring (SHM). Smart sensors densely distributed over structures can provide rich information for structural health monitoring using their sensing, computational, and wireless communication capabilities. Though smart sensor technology has seen substantial advances during recent years, implementation of smart sensors on full-scale structures has been limited; interdisciplinary efforts to address issues in sensors, networks, and application specific algorithms have only now begun to germinate. Following an overview of these issues, a new paradigm for structural health monitoring employing a network of smart sensors will be presented. Because of its ability to meet the demands of data intensive applications such as SHM, Intels Imote2 is adopted for this research. The performance of the proposed SHM system is first evaluated through experimental studies employing a three-dimensional truss structure. Subsequently, full-scale implementation on a historic bridge in Mahomet, Illinois is conducted. The system is investigated from the sensing, network, and SHM algorithmic perspectives and shown to perform effectively. Bio: B.F. Spencer, Jr. received his Ph.D. in theoretical and applied mechanics from the University of Illinois at Urbana-Champaign in 1985. He worked on the faculty at the University of Notre Dame for 17 years before returning to the University of Illinois at Urbana-Champaign, where he currently holds the Nathan M. and Anne M. Newmark Endowed Chair in Civil Engineering and is the Director of the Newmark Structural Engineering Laboratory. His research has been primarily in the areas of smart structures, fatigue reliability, stochastic computational mechanics, and natural hazard mitigation. He is a Fellow of ASCE, an elected Foreign Member of the Polish Academy of Sciences, the North American Editor in Chief of Smart Structures and Systems, and the president of the Asia-Pacific Network of Centers for Research in Smart Structures Technology. Related: citris ucb science techonology research | |
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| Seattle Conference on Scalability: CARMEN: A Scalable SciencThu, 19 Jun 2008 02:12:49 -0700 by googletechtalksGoogle Tech TalksJune 14, 2008ABSTRACTCARMEN is a $9M project building a scalable science cloud. Its focus is on supporting neuroscientists who will use it to store, share and analyze 100s of TBs of data. Understanding how the brain works is a major scientific challenge which will benefit medicine, biology and computer science. Globally, over 100,000 neuroscientists are working on this problem. However, the data that forms the basis for their work is rarely shared even though it is difficult and expensive to produce.The CARMEN project (www.carmen.org.uk) is addressing these challenges by developing a scalable cloud architecture to enable data sharing, integration, and analysis supported by metadata. An expandable range of services are provided in the cloud to extract value from raw and transformed data. This promotes the sharing of analysis services as well as data, and allows services to execute close to the data on which they operate. This is essential to avoid having to ship vast quantities (TBs) of data out of the cloud to the user's machine for analysis. Internally, the CARMEN cloud is built as a set of Web Services. Through experience of a wide variety of e-scientific projects over the past 8 years, we have identified a core set of generic services that we believe are needed to support science. These services, their scalability issues and novel features are:- Data repository. Most of the primary data is time series signal data. Searching for patterns (such as neuronal spikes) is a key requirement. CARMEN uses a novel parallel search infrastructure to find patterns quickly, even in vast quantities of data.- Metadata repository. Users need to be able to quickly search metadatametdata describing tens of thousands of datasets in order to locate data that is of interest. Ontologies are used to structure experimental metadata, and techniques are needed to quickly search this type of data.- Service repository and dynamic deployment. A novel feature of the architecture is that the analysis services are stored in a repository in the cloud. Users can write services in a variety of languages, package them as web services and then upload them into the cloud. These are then dynamically deployed on compute nodes as required to meet user requests.- Workflow Enactment Engine. Users can build workflows from the available services in order to orchestrate the entire process of analysis. These are then executed in the cloud.- Security. Scientists wish to control precisely who has access to their data and services. This service ensures that these desires are met.The talk will describe the design of the CARMEN system and show how it addresses the key scalability issues. It will cover the cloud services, explaining how each is designed to scale up to support thousands of users analysing TBs of data. We will present results from the CARMEN prototype to illustrate solutions and issues.Speaker: Paul WatsonPaul Watson is Professor of Computer Science and Director of the North East Regional e-Science Centre. He graduated in 1983 with a BSc (I) in Computer Engineering from Manchester University, followed by a PhD in 1986. In the 80s, as a Lecturer at Manchester University, he was a designer of the Alvey Flagship and Esprit EDS systems. From 1990-5 he worked for ICL as a system designer of the Goldrush MegaServer parallel database server, which was released as a product in 1994. In August 1995 he moved to Newcastle University, where he has been an investigator on research projects worth over $20M. His research interests are in scalable information management, in particular parallel database systems and data-intensive e-science.Slides for this talk are available at http://groups.google .com/group/seattle-s calability-conferenc e Related: google techtalks techtalk engedu talk talks googletechtalks education | |
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| ESnet: Large-Scale Science and Data ManagementFri, 06 Jun 2008 16:15:10 -0700 by BerkeleyLabJune 16, 2004 Berkeley Lab lecture: Bill Johnston of Berkeley Lab's Computing Sciences is a distinguished networking and computing researcher. He managed the Energy Sciences Network (ESnet), a leading-edge, high-bandwidth network funded by DOE's Office of Science. Used for everything from videoconferencing to climate modeling, and flexible enough to accommodate a wide variety of data-intensive applications and services, ESNet's traffic volume is doubling every year and currently surpasses 200 terabytes per month. Related: esnet berkeley | |
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| Eagle Consus I-Series SATA to USB 2 Bay JBOD ET-CSIU2J-BKFri, 23 May 2008 13:43:05 -0700 by YouEagleTubeEagle Consus I-Series built for media enthusiasts who require speed and capacity, this JBOD external storage system is perfect for data intensive content creation applications. It combines two high performance SATA hard drives up to 1 terabyte (TB) each for a massive 2.0 terabyte (TB) of storage. JBOD (Spanning) technology is great for storing enormous amount of data without breaking your wallet. Built-in hardware controller automatically combines two hard drives of different capacities into one gigantic storage space.Integrated 6cm cooling fan ensures long life and reliable operation. The use of these latest generation components enables the I-Series to offer superior real-world performance and reliability. Mix-n-match drives of different capacity, brand and speed. Put those old drives to good use and stop wasting storage space! Related: eagle consus storage harddrive computer maxtor i-series series usb sata ide jbod nas raid external enclosure | |
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| Eagle Consus D-Series SATA to USB 2 Bay JBOD ET-CSDU2J-BKFri, 23 May 2008 12:05:11 -0700 by YouEagleTubeEagle Consus D-Series built for media enthusiasts who require speed and capacity, this external RAID storage system is perfect for data intensive content creation applications. It combines two high performance SATA hard drives up to 1 terabyte (TB) each for a massive 2.0 terabyte (TB) of storage. JBOD (Spanning) technology is great for storing enormous amount of data without breaking your wallet. Built-in hardware controller automatically combines two hard drives of different capacities into one gigantic storage space.Integrated 6cm cooling fan ensures long life and reliable operation. The use of these latest generation components enables the D-Series to offer superior real-world performance and reliability. Mix-n-match drives of different capacity, brand and speed. Put those old drives to good use and stop wasting storage space! Related: eagle consus storage harddrive computer maxtor d-series series usb sata ide jbod nas raid external enclosure | |
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| Eagle Consus D-Series SATA to USB Firewire RAID ET-CSDU2F-BKFri, 23 May 2008 11:32:29 -0700 by YouEagleTubeEagle Consus D-Series built for media enthusiasts who require speed and capacity, this external RAID storage system is perfect for data intensive content creation applications. It combines two high performance SATA hard drives up to 1 terabyte (TB) each for a massive 2.0 terabyte (TB) of storage. Best in class Oxford chipset ensures smooth delivery of your multimedia contents via FireWire that can be daisy chained with your video cameras and more. Oxford chipset built-in hardware controller provides 3 configuration mode, JBOD (Spanning) and RAID 0 (Striping). When you go for simple and easy, JBOD (Spanning) combines two hard drives appear to be a single large disk drive or RAID 0 (Striping) for increased data transfer rate.Integrated 6cm cooling fan ensures long life and reliable operation. The use of these latest generation components enables the D-Series to offer superior real-world performance and reliability. Great for simultaneous playback of multiple streams of video in real-time. There are three primary reasons that RAID was implemented: 1) Redundancy, 2) Increased Performance, 3) Lower Costs Related: eagle consus storage harddrive computer maxtor d-series series usb sata ide firewire nas raid external enclosure | |
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| Eagle Consus D-Series SATA to USB 2 Bay RAID ET-CSDU2-BKFri, 23 May 2008 10:51:53 -0700 by YouEagleTubeEagle Consus D-Series built for media enthusiasts who require speed and capacity, this external RAID storage system is perfect for data intensive content creation applications. It combines two high performance SATA hard drives up to 1 terabyte (TB) each for a massive 2.0 terabyte (TB) of storage. The Oxford chipset built-in hardware controller provides 3 configuration mode, JBOD (Spanning) and RAID 0 (Striping). When you go for simple and easy, JBOD (Spanning) combines two hard drives appear to be a single large disk drive or RAID 0 (Striping) for increased data transfer rate.Integrated 6cm cooling fan ensures long life and reliable operation. The use of these latest generation components enables the D-Series to offer superior real-world performance and reliability. Great for simultaneous playback of multiple streams of video in real-time. There are three primary reasons that RAID was implemented: 1) Redundancy, 2) Increased Performance, 3) Lower Costs Related: eagle consus storage harddrive computer maxtor d-series series usb sata ide firewire nas raid external enclosure | |
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| IBM's Blue CloudThu, 13 Mar 2008 10:31:56 -0700 by karmavisiontvhttp://karmavision.t v/video/558/ibm's_bl ue_cloud.htmlIBMís new "Blue Cloud" offering includes both hardware and software that will enable businesses,governmen ts and researchers to do things with computing they never imagined possible. Cloud computing can run new web applications with the efficiency and power of pools of computer systems or ìcloudsî that are linked together online. The Cloud receives requests like--online commerce, videos, maps, GPS-- it parcels data into little chunks to be processed simultaneously by hundreds or thousands of computers. This cluster of computers is linked together to run without human intervention delivering data-intensive results in a flash. Related: web applications computing software hardware blue cloud | |
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| Iomega 1TB StorCenter NAS w/ Steve Ruley from IomegaMon, 05 Nov 2007 09:19:07 -0800 by palrulThe Iomega StorCenter Wireless Network Storage 1TB combines maximum storage capacity with theease of wireless networking. Secure your data with RAID 5 built-in, WEP and WPA wireless security!RAID level 5 data protection secures even your most data-intensive projects and allows for reliablerecovery in case of a failure. Dual antennas ensure a rapid data transmission stream. The IomegaStorCenter Wireless Network Storage 1TB is the perfect wireless desktop storage center for digitalenthusiasts or small office environments. Related: buytv iomega 1tb nas with steve ruley and drew w. | |
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| Dryad: A general-purpose distributed execution platformFri, 02 Nov 2007 02:12:56 -0700 by googletechtalksGoogle Tech TalksNovember, 1 2007ABSTRACTWeb search has generated the need and economic support for a new class of data-intensive supercomputing applications. Several computing platforms have been created to support this need: the first described in the literature is Google's MapReduce. I will describe the architecture of the Dryad system developed at Microsoft Research, and explain some of our design choices. Dryad allows more general computations than MapReduce, and has consequently been used as a middleware abstraction on which higher-level programming models can be implemented. I will also briefly discuss some of these.Speaker: Michael IsardMichael Isard started out as a computer vision researcher, but has gradually been lured into systems research by his colleagues, first at DEC/Compaq SRC and now at Microsoft Research Silicon Valley. He was closely involved in the design and implementation of the first version of Microsoft's in-house search engine, and his systems research subsequently has concentrated on programming models for parallel and distributed computing. Related: google techtalks techtalk engedu talk talks googletechtalks education | |
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