Micromachined silicon electrostatic chuck
Anderson, Robert A. (Albuquerque, NM); Seager, Carleton H. (Albuquerque, NM)
1996-01-01
An electrostatic chuck is faced with a patterned silicon plate 11, created y micromachining a silicon wafer, which is attached to a metallic base plate 13. Direct electrical contact between the chuck face 15 (patterned silicon plate's surface) and the silicon wafer 17 it is intended to hold is prevented by a pattern of flat-topped silicon dioxide islands 19 that protrude less than 5 micrometers from the otherwise flat surface of the chuck face 15. The islands 19 may be formed in any shape. Islands may be about 10 micrometers in diameter or width and spaced about 100 micrometers apart. One or more concentric rings formed around the periphery of the area between the chuck face 15 and wafer 17 contain a low-pressure helium thermal-contact gas used to assist heat removal during plasma etching of a silicon wafer held by the chuck. The islands 19 are tall enough and close enough together to prevent silicon-to-silicon electrical contact in the space between the islands, and the islands occupy only a small fraction of the total area of the chuck face 15, typically 0.5 to 5 percent. The pattern of the islands 19, together with at least one hole 12 bored through the silicon veneer into the base plate, will provide sufficient gas-flow space to allow the distribution of the helium thermal-contact gas.
Micromachined silicon electrostatic chuck
Anderson, R.A.; Seager, C.H.
1996-12-10
An electrostatic chuck is faced with a patterned silicon plate, created by micromachining a silicon wafer, which is attached to a metallic base plate. Direct electrical contact between the chuck face (patterned silicon plate`s surface) and the silicon wafer it is intended to hold is prevented by a pattern of flat-topped silicon dioxide islands that protrude less than 5 micrometers from the otherwise flat surface of the chuck face. The islands may be formed in any shape. Islands may be about 10 micrometers in diameter or width and spaced about 100 micrometers apart. One or more concentric rings formed around the periphery of the area between the chuck face and wafer contain a low-pressure helium thermal-contact gas used to assist heat removal during plasma etching of a silicon wafer held by the chuck. The islands are tall enough and close enough together to prevent silicon-to-silicon electrical contact in the space between the islands, and the islands occupy only a small fraction of the total area of the chuck face, typically 0.5 to 5 percent. The pattern of the islands, together with at least one hole bored through the silicon veneer into the base plate, will provide sufficient gas-flow space to allow the distribution of the helium thermal-contact gas. 6 figs.
Stanford, Chuck; Bowman, Nathan
2015-01-01
Oral history interview with Lama Chuck Stanford, co-founder and director of the Rime Buddhist Center in Kansas City, Missouri. This interview was conducted on June 4, 2015, at a Starbucks near Stanford’s home in Southern Johnson County, Kansas...
Anding, Jenna
2008-12-09
This fact sheet describes the nutritional value and safe storage of chuck roast, a commodity food. It also offers food preparation ideas.
Deep Random Search for Efficient Model Checking of Timed Automata
Grosu, Radu
Deep Random Search for Efficient Model Checking of Timed Automata R. Grosu1 , X. Huang1 , S}@imag.fr Abstract. We present DRS (Deep Random Search), a new Las Vegas algorithm for model checking safety fringe, which is the starting point of additional deep random walks. The DRS algorithm is complete
Electrostatically screened, voltage-controlled electrostatic chuck
Klebanoff, Leonard Elliott (San Ramon, CA)
2001-01-01
Employing an electrostatically screened, voltage-controlled electrostatic chuck particularly suited for holding wafers and masks in sub-atmospheric operations will significantly reduce the likelihood of contaminant deposition on the substrates. The electrostatic chuck includes (1) an insulator block having a outer perimeter and a planar surface adapted to support the substrate and comprising at least one electrode (typically a pair of electrodes that are embedded in the insulator block), (2) a source of voltage that is connected to the at least one electrode, (3) a support base to which the insulator block is attached, and (4) a primary electrostatic shield ring member that is positioned around the outer perimeter of the insulator block. The electrostatic chuck permits control of the voltage of the lithographic substrate; in addition, it provides electrostatic shielding of the stray electric fields issuing from the sides of the electrostatic chuck. The shielding effectively prevents electric fields from wrapping around to the upper or front surface of the substrate, thereby eliminating electrostatic particle deposition.
Deep Web 100872 Deep Web Web Deep Web Web Web Deep Web Deep Web TP391 A Uncertain Schema Matching in Deep Web Integration Service JIANG Fang-Jiao MENG Xiao-Feng JIA Lin-Lin (School of Information, Renmin University of China, Beijing, 100872) Abstract: With increasing of Deep Web, providing
Hubbell, Joel M. (Idaho Falls, ID); Sisson, James B. (Idaho Falls, ID)
2004-06-01
A deep lysimeter including a hollow vessel having a chamber, a fill conduit extending into the chamber through apertures, a semi-permeable member mounted on the vessel and in fluid communication with the fill conduit, and a line connection for retrieving the lysimeter.
Deep dermatophytosis caused by
Warycha, Melanie A; Leger, Marie; Tzu, Julia; Kamino, Hideko; Stein, Jennifer
2011-01-01
PubMed ] 5. Gong JQ, et al. Deep dermatophytosis caused bymolecular diagnosis of deep localized cutaneous infectionPubMed ] 7. Chastain MA, et al. Deep dermatophytosis: report
Woertz, Jeff
2002-02-01
The Deep Sea Research Submarine (Figure 1) is a modified VIRGINIA Class Submarine that incorporates a permanently installed Deep Sea Operations Compartment (Figure 2). Table 1 summarizes the characteristics of the Deep ...
Chuck WicksChuck Wicks Space Based Geodesy
;#12;1995-2001 Interferogram #12;1995-2001 Interferogram #12;Profile of Uplift 1992-1996 #12;Profile of Uplift 1992-1997 #12;Profile of Uplift 1995-1998 #12;Profile of Uplift 1995-1999 #12;Profile of Uplift 1997-2000 #12;Profile of Uplift 1996-2000 #12;Profile of Uplift 1995-2001 #12;Profile of Uplift 1995-2001 #12;Modeling the Uplift
Jobtong Deep Web Web""Surface WebDeep Web
Jobtong Deep Web Web Web Web""Surface WebDeep Web Surface WebDeep Web Web[1] 20007BrightPlanet.comDeep Web[2] Web43,000-96,000Web7,500TB(Surface Web500) UIUC5Deep Web[3]2004Deep Web 307,000366,000-535,000"" Deep Web""Google Yahoo32%Deep Web WAMDMWebDeep WebJobtong Deep Web (Jobtong) Jobtong(, http
Learning Deep Generative Ruslan Salakhutdinov
Toronto, University of
Learning Deep Generative Models Ruslan Salakhutdinov Departments of Computer Science reserved Keywords deep learning, deep belief networks, deep Boltzmann machines, graphical models Abstract suggest that building such systems requires models with deep architectures that involve many layers
On the polynomial depth of various sets of random strings Philippe Moser
Moser, Philippe
, structures that are neither random nor trivial i.e., that contain intricate patterns that are neither fully theory Âe.g. any NP-complete languageÂ being computable, are neither recursive-deep nor Bennett deep
DEXA'11, Toulouse, France, 31.08.2011 Sampling National Deep Web
Hammerton, James
DEXA'11, Toulouse, France, 31.08.2011 Sampling National Deep Web Denis Shestakov, fname-IP cluster random sampling Results Conclusions #12;Background Deep Web: web content behind search, the science and practice of deep web crawling is in its infancy" (in 'Web crawling', Olston&Najork, 2010) #12
THE EMERGENCE OF COHERENT WAVE GROUPS IN DEEP-WATER CLAUDIO VIOTTI, DENYS DUTYKH
THE EMERGENCE OF COHERENT WAVE GROUPS IN DEEP-WATER RANDOM SEA CLAUDIO VIOTTI, DENYS DUTYKH , JOHN M. DUDLEY, AND FR´ED´ERIC DIAS Abstract. Extreme surface waves in deep-water long-crested sea-focussing mechanism of surface waves in deep water, furthermore, we narrow our study to the case of two spatial
Deep Lambertian Networks Introduction
Toronto, University of
Deep Lambertian Networks Introduction Learns distributions over 3D object shapes from sets of 2D-shot recognition possible Uses multiplicative interactions to approximate the Lambertian reflectance model Deep 30 50 Experiments Deep Lambertian Networks Inference Samples from albedo DBN Face Relighting Simple
None Available
2012-03-28
To make the web work better for science, OSTI has developed state-of-the-art technologies and services including a deep web search capability. The deep web includes content in searchable databases available to web users but not accessible by popular search engines, such as Google. This video provides an introduction to the deep web search engine.
None Available
2009-06-01
To make the web work better for science, OSTI has developed state-of-the-art technologies and services including a deep web search capability. The deep web includes content in searchable databases available to web users but not accessible by popular search engines, such as Google. This video provides an introduction to the deep web search engine.
Unknown
2011-08-17
To better understand how the evolution of Cenozoic deep-water circulation related to changes in global climate and ocean basin configuration, we generated Nd isotope records from Ocean Drilling Program sites in the southeastern Atlantic to track...
NONE
2008-12-15
The most important factor in safe mining is the quality of the roof. The article explains how the Rosebud Mining Co. conducts drilling and exploration in 11 deep coal mine throughout Pennsylvania and Ohio. Rosebud uses two Atlas Copco CS10 core drilling rigs mounted on 4-wheel drive trucks. The article first appeared in Atlas Copco's in-house magazine, Deep Hole Driller. 3 photos.
Wave runup on cylinders subject to deep water random waves
Indrebo, Ann Kristin
2001-01-01
runup. Laboratory measurements of irregular waves interfering with vertical platform cylinders were used to obtain the Weibull coefficients necessary for the analytical model. Six data sets with different configurations where the wave elevation...
“Deep Maps”: A Brief for Digital Palimpsest Mapping Projects (DPMPs, or “Deep Maps”)
Fishkin, Shelley Fisher
2011-01-01
DEEP MAPS”: A Brief for Digital Projects (DPMPs, or “Deep Maps”) SHELLEY FISHER acronym DPMPs as “Deep Maps. ” They would
Jonathon Peterson
2008-01-30
Feb 4, 2008 ... Electrical Network Calculations in Random Walks in. Random ... Markov Chains. 2. Electrical Networks and Reversible Markov Chains. 3.
Bisdorff, Raymond
Motivation Valued Outranking Digraphs Random Performance Tableaux Random Outranking Digraphs/CSC Leuven, January, 2009 Motivation Valued Outranking Digraphs Random Performance Tableaux Random Outranking Motivation Valued Outranking Digraphs Random Performance Tableaux Random Outranking Digraphs Conclusion
Deep Deference, Autonomy, and The Deferential Wife
Silverstein, Elizabeth Rachel
2013-01-01
OF CALIFORNIA RIVERSIDE Deep Deference, Autonomy, and thev ABSTRACT OF THE DISSERTATION Deep Deference, Autonomy, andby DW and AF, which I call deep deference. Next, I identify
Bitar, Eilyan Yamen
2011-01-01
Energy Grid Integration Systems-Energy Storage (SEGIS-ES)grid at deep penetration levels There is a considerable investment and interest in energy storage
Focal Species and Representative Habitats Chuck Peven
building and placement, loss of riparian habitat, water diversion, reduced large woody debris (LWD) recruitment, and flood control efforts that include LWD removal, berm construction, and stream channelization
Cooking with Beef Chuck Roast (Spanish)
Anding, Jenna
2008-12-09
Life Communications, El Sistema Texas A&M Las publicaciones de Texas AgriLife Extension se pueden encontrar en Internet en: http://AgriLifebookstore.org Los programas educativos de Texas AgriLife Extension Service est?n disponibles para todas las personas, sin...
Bitar, Eilyan Yamen
2011-01-01
continuous time model presented in Chapter 3 and model wind power production as a discrete time random process
World Wide WebWWWDeep Web Web Deep Web
Deep Web Web World Wide WebWWWDeep Web Web Deep Web Deep Web Deep Web Deep Web Deep Web 1 World Wide Web [1] Web 200,000TB Web Web Web Internet Web Web Web "" Surface Web Deep Web Surface Web 21.3% Surface Web Deep Web [2] Deep Web Web Crawler Deep Web 1 Web
Quantum random number generator
M. Stipcevic; B. Medved Rogina
2007-01-01
We report upon a novel principle for realization of a fast nondeterministic random number generator whose randomness relies on intrinsic randomness of the quantum physical processes of photonic emission in semiconductors and subsequent detection by the photoelectric effect. Timing information of detected photons is used to generate binary random digits-bits. The bit extraction method based on restartable clock theoretically eliminates both bias and autocorrelation while reaching efficiency of almost 0.5 bits per random event. A prototype has been built and statistically tested.
A deep earthquake goes supershear
Wilson, R. Mark
2014-09-01
Seismic analysis of an aftershock off Russia’s Kamchatka Peninsula offers evidence that deep earthquakes are more complicated than geoscientists realized.
Deep Inelastic Neutrino Interactions
S. Kretzer; M. H. Reno
2003-06-30
Understanding neutrino interactions is an important task in searches for neutrino oscillations; e.g. the nu_{mu} -> nu_{tau} oscillation hypothesis will be tested through nu_{tau} production of tau in long-baseline experiments as well as underground neutrino telescopes. An anomaly in the deep inelastic interaction of neutrinos has recently been observed by the NuTeV collaboration -- resulting in a measured weak mixing angle sin^2 Theta_{W} that differs by ~ 3 sigma from the standard model expectation. In this contribution to the proceedings of NUINT02, we summarize results on the NLO neutrino structure functions and cross sections in which charm quark mass and target mass effects in the collinear approximation are included.
Colgate, Stirling A. (4616 Ridgeway, Los Alamos, NM 87544)
1984-01-01
Deep drilling is facilitated by the following steps practiced separately or in any combination: (1) Periodically and sequentially fracturing zones adjacent the bottom of the bore hole with a thixotropic fastsetting fluid that is accepted into the fracture to overstress the zone, such fracturing and injection being periodic as a function of the progression of the drill. (2) Casing the bore hole with ductile, pre-annealed casing sections, each of which is run down through the previously set casing and swaged in situ to a diameter large enough to allow the next section to run down through it. (3) Drilling the bore hole using a drill string of a low density alloy and a high density drilling mud so that the drill string is partially floated.
Bitar, Eilyan Yamen
2011-01-01
variability of wind and solar power production poses seriousof wind and solar power. They are essentially random – ais variability in wind an solar power production dealt with
D. M. Chernyak; F. A. Danevich; A. Giuliani; E. Olivieri; M. Tenconi; V. I. Tretyak
2013-01-17
Two neutrino double $\\beta$ decay can create irremovable background even in high energy resolution detectors searching for neutrinoless double $\\beta$ decay due to random coincidence of $2\
Deep water gives up another secret
Manning, CE
2013-01-01
COMMENTARY Deep water gives up another secret Craig E.important properties at deep-earth conditions: its dielec-magmas carry water from the deep interior. Water in?u- ences
Wireless Magnetothermal Deep Brain Stimulation
Chen, Ritchie
Wireless deep brain stimulation of well-defined neuronal populations could facilitate the study of intact brain circuits and the treatment of neurological disorders. Here we demonstrate minimally-invasive and remote neural ...
PERSPECTIVES Deep Earthquakes: A Fault Too Big?
Stein, Seth
PERSPECTIVES Deep Earthquakes: A Fault Too Big? Seth Stein Because deep Earth processes are inacces. Recent results for the mys- terious deep earthquakes that occur to depths greater than 600 km is that large deep earthquakes (1-3) seem to have occurred on faults larger than ex- pected from the competing
The DEEP2 Galaxy Redshift Survey: Overview
The DEEP2 Galaxy Redshift Survey: Overview David C. Koo & DEEP2 Team UCO/Lick Observatory. Univ. of California, Santa Cruz AAS Seattle Jan 2003 DEIMOSKECK #12;l What is DEEP2 ? l What are its Scientific Goals? l What is its Current Status? #12;The DEEP2 Collaboration Team Members: M. Davis (PI, UCB), S. Faber
SEQUENTIAL DEEP BELIEF NETWORKS Galen Andrew
Noble, William Stafford
SEQUENTIAL DEEP BELIEF NETWORKS Galen Andrew University of Washington Department of Computer bilmes@ee.washington.edu ABSTRACT Previous work applying Deep Belief Networks (DBNs) to problems sequential information in the hidden layers. Index Terms-- deep learning, deep belief network, phone recog
Bitar, Eilyan Yamen
2011-01-01
Selling Random Energy in a Two-Settlement System 3.1Wind Energy Aggregation and Profit Sharing 4.1 IntroductionPower Model . . . . . . . . . . . . . 5.3.2 Energy Storage
Pacheco, Carlos, Ph.D. Massachusetts Institute of Technology
2009-01-01
Random testing can quickly generate many tests, is easy to implement, scales to large software applications, and reveals software errors. But it tends to generate many tests that are illegal or that exercise the same parts ...
Web WebWeb WebWeb WebHTML Web WebDeep Web Surface Web " " Deep Web21 Dot-ComWebWeb2.0 WebWeb ""Web WebWeb Deep Web WebWeb SNS Web WebWeb 20017BrightPlanet.comDeep Web Web43,000-96,000Web7,500TB(Surface Web500) UIUCDeep Web2004Deep Web 307,000366,000-535,000 WebDeep Web "" Deep Web 1 Web Web #12
Dismantling sparse random graphs
Janson, Svante
2007-01-01
We consider the number of vertices that must be removed from a graph G in order that the remaining subgraph has no component with more than k vertices. Our principal observation is that, if G is a sparse random graph or a random regular graph on n vertices with n tending to infinity, then the number in question is essentially the same for all values of k such that k tends to infinity but k=o(n).
Fenimore, E.E.
1980-08-22
A hexagonally shaped quasi-random no-two-holes touching grid collimator. The quasi-random array grid collimator eliminates contamination from small angle off-axis rays by using a no-two-holes-touching pattern which simultaneously provides for a self-supporting array increasng throughput by elimination of a substrate. The presentation invention also provides maximum throughput using hexagonally shaped holes in a hexagonal lattice pattern for diffraction limited applications. Mosaicking is also disclosed for reducing fabrication effort.
The Silent Deep: The Discovery, Ecology and Conservation of the Deep Sea.
Koehl, Mimi
The Silent Deep: The Discovery, Ecology and Conservation of the Deep Sea. By Tony Koslow. Chicago and Tyler's excellent textbook, Deep-Sea Biology: A Natural History of Organisms at the Deep- Sea Floor and line drawings of deep-sea organisms and exploration give it broad appeal. The text is deceptive
Evolution of Spheroidal Galaxies at z Deep Extragalactic Evolutionary Probe (DEEP)
Evolution of Spheroidal Galaxies at z Deep Extragalactic Evolutionary Probe (DEEP) Myungshin Im 1 and DEEP team 2 UCO/Lick Observatory, UCSC, Santa Cruz, CA 95064 Abstract. DEEP is a multi about DEEP, see an article by D.C. Koo in this conference proceedings). So far, our data consist
A discrete fractional random transform
Zhengjun Liu; Haifa Zhao; Shutian Liu
2006-05-20
We propose a discrete fractional random transform based on a generalization of the discrete fractional Fourier transform with an intrinsic randomness. Such discrete fractional random transform inheres excellent mathematical properties of the fractional Fourier transform along with some fantastic features of its own. As a primary application, the discrete fractional random transform has been used for image encryption and decryption.
Broader source: Energy.gov [DOE]
Going Deep vs. Going Wide, from the Residential Energy Efficiency Solutions Conference 2012. Provides an overview on the progress of four energy efficiency programs: Clean Energy Works Oregon, Efficiency Maine, Energy Upgrade California Flex Path, and EcoHouse Loan Program.
Testing for Subcellular Randomness
Babatunde O. Okunoye
2008-01-29
Statistical tests were conducted on 1,000 numbers generated from the genome of Bacteriophage T4, obtained from GenBank with accession number AF158101.The numbers passed the non-parametric, distribution-free tests.Deoxyribonucleic acid was discovered to be a random number generator, existent in nature.
Deep-web search engine ranking algorithms
Wong, Brian Wai Fung
2010-01-01
The deep web refers to content that is hidden behind HTML forms. The deep web contains a large collection of data that are unreachable by link-based search engines. A study conducted at University of California, Berkeley ...
The Phoenix Deep Survey: A Deep Microjansky Radio Survey
J. Afonso; B. Mobasher; A. Hopkins; L. Cram
1999-09-05
The study of the nature of faint radio sources is of great importance since a significant fraction of these objects is thought to be composed of actively star-forming galaxies. Due to the increased sensitivity of radio telescopes, we are now not only able to catalogue large numbers of these sources in the sub-millijansky regime, but also to start the study of the nature of increasingly fainter microjansky sources. This paper presents a new very deep 1.4 GHz radio survey made as a part of the Phoenix Deep Survey, a project aimed to study the nature of the faintest radio sources. With a limiting sensitivity of 45 microJy, this new survey has allowed us to assemble a large number of sources with 1.4 GHz flux densities below 100 microJy. The resulting source counts and the analysis of the optical properties of the faintest radio sources are presented.
Isoform discovery by targeted cloning,`deep-
Roth, Frederick
Isoform discovery by targeted cloning,`deep- well' pooling and parallel sequencing Kourosh Salehi transcriptase (RT)- PCR recombinational cloning,`deep-well' pooling and a next- generation sequencing platform and demonstrate the ORFeome primer pairs ORFeome minipool arrays Single colony isolates `Deep wells' of pooled
THE DEEP PROJECT DAVID C. KOO UCO/Lick Observatory, University of California, Santa Cruz, CA 95064, USA Abstract. DEEP is a multiÂinstitutional program designed to undertake a maÂ jor new spectroscopic goal of securing large numbers of redshifts (10,000 + ) to very faint limits of I Â¸ 23, DEEP intends
Deep Web Entity Monitoring Mohammadreza Khelghati
Hiemstra, Djoerd
Deep Web Entity Monitoring Mohammadreza Khelghati Database Group University of Twente, Netherlands. This data is defined as hidden web or deep web which is not accessible through search engines. It is estimated that deep web contains data in a scale several times bigger than the data accessible through
Deep Mixtures of Factor Analysers Introduction
Toronto, University of
Deep Mixtures of Factor Analysers Introduction Experiments - High dimensional data (avg. log An efficient way to learn deep density models is to greedily learn one layer at a time using one layer latent Graphical Model of Deep MFA Illustration with 2D data Each ellipse is a Gaussian Component Aggregated
Deep-Space Optical Communications: Future
Djordjevic, Ivan B.
INVITED P A P E R Deep-Space Optical Communications: Future Perspectives and Applications Current technologies available for deep-space optical data transmission and networking are discussed in this paper IEEE, Abhijit Biswas, and Ivan B. Djordjevic, Senior Member IEEE ABSTRACT | The concept of deep
Deep Vadose Zone Applied Field Research Initiative
Deep Vadose Zone Applied Field Research Initiative Fiscal Year 2012 Annual Report #12;Prepared Tasks 25 References 25 Appendix: FY2012 Products for the Deep Vadose Zone Applied Field Research Initiative Contents #12;Message from the Deep Vadose Zone- Applied Field Research Initiative Project Manager
Boston Harbor -Deep Draft Navigation Improvement Massachusetts
US Army Corps of Engineers
of Massachusetts Bay and is the New England region's largest port. The main deep water harbor is comprised for the Chelsea River which has an authorized depth of 38 feet MLLW. Deep water access to the harbor is providedBoston Harbor - Deep Draft Navigation Improvement Massachusetts 21 August 2008 and 18 September
Sampling the National Deep Web Denis Shestakov
Hammerton, James
Sampling the National Deep Web Denis Shestakov Department of Media Technology, Aalto University pages filled with information from myriads of online databases. This part of the Web, known as the deep a problem of deep Web characterization: how to estimate the total number of online databases on the Web? We
New Horizons for Deep Subsurface Microbiology
Onstott, Tullis
life cannot exist. · Experiments being designed for the Deep Un- derground Science and EngineeringNew Horizons for Deep Subsurface Microbiology Subsurface microorganisms may grow slowly 200-m-deep wells along with procedures to monitor for drilling-related contaminants, uncovered
Deep-Sea Research I 49 (2002) 681705 Modification and pathways of Southern Ocean Deep Waters
Naveira Garabato, Alberto
2002-01-01
Deep-Sea Research I 49 (2002) 681705 Modification and pathways of Southern Ocean Deep Waters of the deep water masses flowing through the region, and to quantify changes in their properties as they cross and pathways of deep water masses in the Scotia Sea had remained poorly documented despite their global
Randomization vs. Nondeterminisma What are the differences between randomized algorithms
Lyuu, Yuh-Dauh
Inequalitya Lemma 61 Let x be a random variable taking nonnegative integer values. Then for any k > 0, prob[ x
Randomized Algorithms with Splitting: Why the Classic Randomized Algorithms
Del Moral , Pierre
Randomized Algorithms with Splitting: Why the Classic Randomized Algorithms do not Work and how Abstract We show that the original classic randomized algorithms for approximate counting in NP simultaneously multiple Markov chains. We present several algorithms of the combined version, which we simple
Random Selection for Drug Screening
Center for Human Reliability Studies
2007-05-01
Simple random sampling is generally the starting point for a random sampling process. This sampling technique ensures that each individual within a group (population) has an equal chance of being selected. There are a variety of ways to implement random sampling in a practical situation.
Deep Sky Astronomical Image Database
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HAB Packet HanfordDOEDanielDe novo Design of Debugging6DecodingDeep Sky
Deep Vadose Zone - Hanford Site
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HAB Packet HanfordDOEDanielDe novo Design of Debugging6DecodingDeep
Accelerated Randomized Benchmarking
Christopher Granade; Christopher Ferrie; D. G. Cory
2014-09-24
Quantum information processing offers promising advances for a wide range of fields and applications, provided that we can efficiently assess the performance of the control applied in candidate systems. That is, we must be able to determine whether we have implemented a desired gate, and refine accordingly. Randomized benchmarking reduces the difficulty of this task by exploiting symmetries in quantum operations. Here, we bound the resources required for benchmarking and show that, with prior information, we can achieve several orders of magnitude better accuracy than in traditional approaches to benchmarking. Moreover, by building on state-of-the-art classical algorithms, we reach these accuracies with near-optimal resources. Our approach requires an order of magnitude less data to achieve the same accuracies and to provide online estimates of the errors in the reported fidelities. We also show that our approach is useful for physical devices by comparing to simulations. Our results thus enable the application of randomized benchmarking in new regimes, and dramatically reduce the experimental effort required to assess control fidelities in quantum systems. Finally, our work is based on open-source scientific libraries, and can readily be applied in systems of interest.
Estrada, Ernesto
2015-01-01
A generalization of the random geometric graph (RGG) model is proposed by considering a set of points uniformly and independently distributed on a rectangle of unit area instead of on a unit square \\left[0,1\\right]^{2}. The topological properties, such as connectivity, average degree, average path length and clustering, of the random rectangular graphs (RRGs) generated by this model are then studied as a function of the rectangle sides lengths a and b=1/a, and the radius r used to connect the nodes. When a=1 we recover the RGG, and when a\\rightarrow\\infty the very elongated rectangle generated resembles a one-dimensional RGG. We provided computational and analytical evidence that the topological properties of the RRG differ significantly from those of the RGG. The connectivity of the RRG depends not only on the number of nodes as in the case of the RGG, but also on the side length of the rectangle. As the rectangle is more elongated the critical radius for connectivity increases following first a power-law an...
Deep Borehole Disposal Research: Demonstration Site Selection...
radioactive waste forms, along with research and development for mined repositories in salt, granite, and clay, as part of the used fuel disposition (UFD) campaign. The deep...
. . . . . 85 . . . . . International Deep Drawing Research Group
. . . . . 85 . . . . . International Deep Drawing Research Group IDDRG 2009 International 20899-855 USA e-mail: mark.iadicola@nist.gov, Web page: www
Transportation Energy Futures: Combining Strategies for Deep...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
ENERGY FUTURES Combining Strategies for Deep Reductions in Energy Consumption and GHG Emissions Significant Energy Consumption - and Opportunities for Reduction Transportation is...
Stephen Ng; Meg Walters
2014-09-19
Let $A$ be a Hermitian operator of order $n$. We show that for $k\\leq n$ sufficiently large, the eigenvalues of a compression of $A$ to a $k$-dimensional subspace are almost the same for all subspaces. We prove this result using the methods introduced in a paper by Chatterjee and Ledoux on eigenvalues of principle submatrices. We show that by choosing an appropriate Markov chain, the methods of Chatterjee and Ledoux can be applied to give a more general result on operator compressions. As an additional application of this method, we prove concentration of measure of the length of the longest increasing subsequence of a random walk distributed under the invariant measure for the asymmetric exclusion process.
Stretched Polymers in Random Environment
Dmitry Ioffe; Yvan Velenik
2011-03-01
We survey recent results and open questions on the ballistic phase of stretched polymers in both annealed and quenched random environments.
Topological and Dynamical Complexity of Random Neural Networks
Gilles Wainrib; Jonathan Touboul
2013-03-15
Random neural networks are dynamical descriptions of randomly interconnected neural units. These show a phase transition to chaos as a disorder parameter is increased. The microscopic mechanisms underlying this phase transition are unknown, and similarly to spin-glasses, shall be fundamentally related to the behavior of the system. In this Letter we investigate the explosion of complexity arising near that phase transition. We show that the mean number of equilibria undergoes a sharp transition from one equilibrium to a very large number scaling exponentially with the dimension on the system. Near criticality, we compute the exponential rate of divergence, called topological complexity. Strikingly, we show that it behaves exactly as the maximal Lyapunov exponent, a classical measure of dynamical complexity. This relationship unravels a microscopic mechanism leading to chaos which we further demonstrate on a simpler class of disordered systems, suggesting a deep and underexplored link between topological and dynamical complexity.
DeepCough: A Deep Convolutional Neural Network in A Wearable Cough Detection System
Odam, Kofi
DeepCough: A Deep Convolutional Neural Network in A Wearable Cough Detection System Justice Amoh that employs a wearable acoustic sensor and a deep convolutional neural network for detecting coughs. We evaluate the performance of our system on 14 healthy volunteers and compare it to that of other cough
Pseudo-random number generator based on asymptotic deterministic randomness
Kai Wang; Wenjiang Pei; Haishan Xia; Yiu-ming Cheung
2007-10-10
An approach to generate the pseudorandom-bit sequence from the asymptotic deterministic randomness system is proposed in this Letter. We study the characteristic of multi-value correspondence of the asymptotic deterministic randomness constructed by the piecewise linear map and the noninvertible nonlinearity transform, and then give the discretized systems in the finite digitized state space. The statistic characteristics of the asymptotic deterministic randomness are investigated numerically, such as stationary probability density function and random-like behavior. Furthermore, we analyze the dynamics of the symbolic sequence. Both theoretical and experimental results show that the symbolic sequence of the asymptotic deterministic randomness possesses very good cryptographic properties, which improve the security of chaos based PRBGs and increase the resistance against entropy attacks and symbolic dynamics attacks.
Deep Learning in Speech Synthesis August 31st, 2013
Cortes, Corinna
Deep Learning in Speech Synthesis Heiga Zen Google August 31st, 2013 #12;Outline Background Deep Learning Deep Learning in Speech Synthesis Motivation Deep learning-based approaches DNN-based statistical-to-speech synthesis (TTS) Text (discrete symbol sequence) Speech (continuous time series) Heiga Zen Deep Learning
Natural Radiocarbon Distribution in the Deep Ocean Katsumi MATSUMOTO1
Matsumoto, Katsumi
, World Ocean Circulation Experiment (WOCE), ocean ventilation, North Atlantic Deep Water, Antarctic Bottom Water, Circumpolar Deep Water, Pacific Deep Water, thermohaline circulation 1. INTRODUCTION Deep in the subtropical North Atlantic, revealed that much of the deep water is cold, and warm water is confined to a thin
Backpropagation in Sequential Deep Neural Networks
Noble, William Stafford
Backpropagation in Sequential Deep Neural Networks Galen Andrew University of Washington galen neural networks to problems in speech processing has combined the output of a static network trained over developed Sequential Deep Neural Network (SDNN) model allows sequential dependencies between internal hidden
Deep into Pharo ESUG 2013 Edition
Paris-Sud XI, UniversitÃ© de
Deep into Pharo ESUG 2013 Edition Alexandre Bergel Damien Cassou StÃ©phane Ducasse Jannik Laval #12;ii This book is available as a free download from http://rmod.lille.inria.fr/deep of this work. The best way to do this is with a link to this web page: creativecommons.org/licenses/ by-sa/3
Mathematical Properties of the Deep Coalescence Cost
Rosenberg, Noah
the maximum cost. We also study corresponding problems for a fixed gene tree. Index Terms--Deep coalescenceMathematical Properties of the Deep Coalescence Cost Cuong V. Than and Noah A. Rosenberg Abstract coalescence cost for reconciling a collection of gene trees is taken as an estimate of the species tree
ELECTRICAL CONDUCTIVITY OF THE DEEP MANTLE
Cerveny, Vlastislav
ELECTRICAL CONDUCTIVITY OF THE DEEP MANTLE Jakub Vel´imsk´y Department of Geophysics Faculty´imsk´y (CUP) Electrical conductivity of the deep mantle C2C Mari´ansk´e l´azne 2010 1 / 39 #12;Introduction Sensitivity of EMI data to 3-D conductivity in D" Conclusions J. Vel´imsk´y (CUP) Electrical conductivity
Food Image Recognition with Deep Convolutional Features
Yanai, Keiji
Food Image Recognition with Deep Convolutional Features Yoshiyuki Kawano, Keiji Yanai and diseases. If there is a food recommendation system, it is work to keep people in good health. A food recognition engine is needed to build a automatic food recommendation system. Food recognition: Deep
Educators' Guide Lessons from the Deep
.the.Gulf.of.Mexico......................................... 15 Suggested.Learning.Procedures.and.Options....... 17 Initial.Lessons.in.the.Lessons1 Educators' Guide Lessons from the Deep: Exploring the Gulf of Mexico's Deep-Sea Ecosystems on the mobile offshore drilling unit Deepwater Horizon about 40 miles southeast of the Louisiana coast
Supply Chain Supernetworks Random Demands
Nagurney, Anna
Supply Chain Supernetworks with Random Demands June Dong and Ding Zhang Department of Marketing of three tiers of decision-makers: the manufacturers, the distributors, and the retailers, with the demands equilibrium model with electronic commerce and with random demands for which modeling, qualitative analysis
Random Curves by Conformal Welding
K. Astala; P. Jones; A. Kupiainen; E. Saksman
2009-12-17
We construct a conformally invariant random family of closed curves in the plane by welding of random homeomorphisms of the unit circle given in terms of the exponential of Gaussian Free Field. We conjecture that our curves are locally related to SLE$(\\kappa)$ for $\\kappa<4$.
Random Curves by Conformal Welding
Astala, K; Kupiainen, A; Saksman, E
2009-01-01
We construct a conformally invariant random family of closed curves in the plane by welding of random homeomorphisms of the unit circle given in terms of the exponential of Gaussian Free Field. We conjecture that our curves are locally related to SLE$(\\kappa)$ for $\\kappa<4$.
Deep hypothermia for the treatment of refractory status epilepticus
2015-01-01
as: Niquet J, et al, Deep hypothermia for the treatment ofas: Niquet J, et al, Deep hypothermia for the treatment ofSchmitt FC, Holtkamp M. Deep hypothermia terminates status
Deep inference proof theory equals categorical proof theory minus coherence
Pratt, Vaughan
Deep inference proof theory equals categorical proof Abstract This paper links deep inference proof theory, as studied by Gugliel* *mi et al., to categorical proof theory in the sense of Lambek et al.. It obs* *erves how deep
Deep tissue fluorescence imaging and in vivo biological applications
2012-01-01
17(11) Crosignani et al. : Deep tissue fluorescence imaging16. D. Kobat et al. , “Deep tissue multiphoton microscopyV. Crosignani et al. , “ In vivo deep tissue fluorescence
Coring in deep hardrock formations
Drumheller, D.S.
1988-08-01
The United States Department of Energy is involved in a variety of scientific and engineering feasibility studies requiring extensive drilling in hard crystalline rock. In many cases well depths extend from 6000 to 20,000 feet in high-temperature, granitic formations. Examples of such projects are the Hot Dry Rock well system at Fenton Hill, New Mexico and the planned exploratory magma well near Mammoth Lakes, California. In addition to these programs, there is also continuing interest in supporting programs to reduce drilling costs associated with the production of geothermal energy from underground sources such as the Geysers area near San Francisco, California. The overall progression in these efforts is to drill deeper holes in higher temperature, harder formations. In conjunction with this trend is a desire to improve the capability to recover geological information. Spot coring and continuous coring are important elements in this effort. It is the purpose of this report to examine the current methods used to obtain core from deep wells and to suggest projects which will improve existing capabilities. 28 refs., 8 figs., 2 tabs.
Moretto, L.G.
2010-01-01
618MeV 0 =4O° ro I in "IT N Deep inelastic component -•s 50nwnetl npin* llE THE ROLE OF DEEP INELASTIC PROCESSES INAND THEORETICAL ASPECTS OF DEEP INELASTIC REACTIONS L. G. M
Deep Sky Astronomical Image Database Project at NERSC
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Deep Sky Astronomical Image Database Deep Sky Astronomical Image Database Key Challenges: Develop, store, analyze, and make available an astronomical image database of...
Deep Borehole Disposal Research: Geological Data Evaluation Alternativ...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Deep Borehole Disposal Research: Geological Data Evaluation Alternative Waste Forms and Borehole Seals Citation Details In-Document Search Title: Deep Borehole Disposal Research:...
Building America Webinar: A National Summary of Deep Energy Retrofits...
Webinar: A National Summary of Deep Energy Retrofits Building America Webinar: A National Summary of Deep Energy Retrofits This presentation by Brennan Less is included in the...
Presentation at the Weatherization Program Deep Dive Briefing...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Presentation at the Weatherization Program Deep Dive Briefing, November 4, 2009 Presentation at the Weatherization Program Deep Dive Briefing, November 4, 2009 U.S. Department of...
Deep Borehole Disposal Research: Geological Data Evaluation Alternativ...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
much of the enhanced geothermal focus on stimulating fracture development (e.g., fracking) at depth is not directly relevant to deep borehole disposal. For deep borehole...
Test of factorization in diffractive deep inelastic scattering...
Office of Scientific and Technical Information (OSTI)
Test of factorization in diffractive deep inelastic scattering and photoproduction at HERA Citation Details In-Document Search Title: Test of factorization in diffractive deep...
Deep Borehole Disposal of Spent Fuel. (Conference) | SciTech...
Office of Scientific and Technical Information (OSTI)
Deep Borehole Disposal of Spent Fuel. Citation Details In-Document Search Title: Deep Borehole Disposal of Spent Fuel. Abstract not provided. Authors: Brady, Patrick V. Publication...
Building America Webinar: Results from Phased Deep Retrofits...
Building America Webinar: Results from Phased Deep Retrofits in Florida Building America Webinar: Results from Phased Deep Retrofits in Florida This presentation by Danny Parker is...
Research Development and Demonstration Roadmap for Deep Borehole...
Office of Scientific and Technical Information (OSTI)
Research Development and Demonstration Roadmap for Deep Borehole Disposal. Citation Details In-Document Search Title: Research Development and Demonstration Roadmap for Deep...
Deep Borehole Disposal of Nuclear Waste. (Conference) | SciTech...
Office of Scientific and Technical Information (OSTI)
Deep Borehole Disposal of Nuclear Waste. Citation Details In-Document Search Title: Deep Borehole Disposal of Nuclear Waste. Abstract not provided. Authors: Arnold, Bill Walter ;...
Random wave functions and percolation
E. Bogomolny; C. Schmit
2007-08-31
Recently it was conjectured that nodal domains of random wave functions are adequately described by critical percolation theory. In this paper we strengthen this conjecture in two respects. First, we show that, though wave function correlations decay slowly, a careful use of Harris' criterion confirms that these correlations are unessential and nodal domains of random wave functions belong to the same universality class as non critical percolation. Second, we argue that level domains of random wave functions are described by the non-critical percolation model.
NATURAL GAS RESOURCES IN DEEP SEDIMENTARY BASINS
Thaddeus S. Dyman; Troy Cook; Robert A. Crovelli; Allison A. Henry; Timothy C. Hester; Ronald C. Johnson; Michael D. Lewan; Vito F. Nuccio; James W. Schmoker; Dennis B. Riggin; Christopher J. Schenk
2002-02-05
From a geological perspective, deep natural gas resources are generally defined as resources occurring in reservoirs at or below 15,000 feet, whereas ultra-deep gas occurs below 25,000 feet. From an operational point of view, ''deep'' is often thought of in a relative sense based on the geologic and engineering knowledge of gas (and oil) resources in a particular area. Deep gas can be found in either conventionally-trapped or unconventional basin-center accumulations that are essentially large single fields having spatial dimensions often exceeding those of conventional fields. Exploration for deep conventional and unconventional basin-center natural gas resources deserves special attention because these resources are widespread and occur in diverse geologic environments. In 1995, the U.S. Geological Survey estimated that 939 TCF of technically recoverable natural gas remained to be discovered or was part of reserve appreciation from known fields in the onshore areas and State waters of the United. Of this USGS resource, nearly 114 trillion cubic feet (Tcf) of technically-recoverable gas remains to be discovered from deep sedimentary basins. Worldwide estimates of deep gas are also high. The U.S. Geological Survey World Petroleum Assessment 2000 Project recently estimated a world mean undiscovered conventional gas resource outside the U.S. of 844 Tcf below 4.5 km (about 15,000 feet). Less is known about the origins of deep gas than about the origins of gas at shallower depths because fewer wells have been drilled into the deeper portions of many basins. Some of the many factors contributing to the origin of deep gas include the thermal stability of methane, the role of water and non-hydrocarbon gases in natural gas generation, porosity loss with increasing thermal maturity, the kinetics of deep gas generation, thermal cracking of oil to gas, and source rock potential based on thermal maturity and kerogen type. Recent experimental simulations using laboratory pyrolysis methods have provided much information on the origins of deep gas. Technologic problems are one of the greatest challenges to deep drilling. Problems associated with overcoming hostile drilling environments (e.g. high temperatures and pressures, and acid gases such as CO{sub 2} and H{sub 2}S) for successful well completion, present the greatest obstacles to drilling, evaluating, and developing deep gas fields. Even though the overall success ratio for deep wells is about 50 percent, a lack of geological and geophysical information such as reservoir quality, trap development, and gas composition continues to be a major barrier to deep gas exploration. Results of recent finding-cost studies by depth interval for the onshore U.S. indicate that, on average, deep wells cost nearly 10 times more to drill than shallow wells, but well costs and gas recoveries vary widely among different gas plays in different basins. Based on an analysis of natural gas assessments, many topical areas hold significant promise for future exploration and development. One such area involves re-evaluating and assessing hypothetical unconventional basin-center gas plays. Poorly-understood basin-center gas plays could contain significant deep undiscovered technically-recoverable gas resources.
Bisdorff, Raymond
Motivation Random Performance Tableaux Special Performance Tableaux Conclusion Generating Random Performance Tableaux Raymond Bisdorff University of Luxembourg, FSTC/CSC Mons, April, 2009 Motivation Random Performance Tableaux Special Performance Tableaux Conclusion Motivation Provide random instances
Watkins, Joseph C.
Definition of a Random Variable Distribution Functions Properties of Distribution Functions Topic 7 Random Variables and Distribution Functions Distribution Functions 1 / 11 #12;Definition of a Random Variable Distribution Functions Properties of Distribution Functions Outline Definition of a Random
Random Search Algorithms Zelda B. Zabinsky
Del Moral , Pierre
Random Search Algorithms Zelda B. Zabinsky April 5, 2009 Abstract Random search algorithms with convergence results in probability. Random search algorithms include simulated an- nealing, tabu search, genetic algorithms, evolutionary programming, particle swarm optimization, ant colony optimization, cross
On Randomness in Quantum Mechanics
Alberto C. de la Torre
2007-07-19
The quantum mechanical probability densities are compared with the probability densities treated by the theory of random variables. The relevance of their difference for the interpretation of quantum mechanics is commented.
Random Selection for Drug Screening
Center for Human Reliability Studies
2007-05-01
Sampling is the process of choosing some members out of a group or population. Probablity sampling, or random sampling, is the process of selecting members by chance with a known probability of each individual being chosen.
Deep Energy Retrofits - Eleven California Case Studies
Less, Brennan
2014-01-01
www.lowesforpros.com/deep-energy-retrofits-for- existing-R. H. (Ed. ). (1978). Saving Energy in the Home: Princeton’sA Homeowner’s Guide to Energy-Efficient Renovation. Firefly
Deep--elastic scattering and asymptotics
S. M. Troshin; N. E. Tyurin
2012-01-20
Deep--elastic scattering and its role in discrimination of the possible absorptive and reflective asymptotic scattering mechanisms are discussed with emphasis on the difference in the experimental signatures related to production processes.
Existence of Standing waves in deep water
Existence of Standing waves in deep water G.Iooss, INLN, 06560 Valbonne, France This is a joint work with J.Toland and P.Plotnikov. We consider the classical ...
Windows to the Deep Cruise Summary Introduction
freely through the sediments. Where faults, salt diapirs, and sedimentary structures perturb the gas of the dives completed on The Windows to the Deep expedition. Green symbols indicate drilling sites for ODP Leg
Technological review of deep ocean manned submersibles
Vaskov, Alex Kikeri
2012-01-01
James Cameron's dive to the Challenger Deep in the Deepsea Challenger in March of 2012 marked the first time man had returned to the Mariana Trench since the Bathyscaphe Trieste's 1960 dive. Currently little is known about ...
Internet Usage Mining Using Random Forests
Liu, Xuening
2013-01-01
Los Angeles Internet Usage Mining Using Random Forests Aof the Thesis Internet Usage Mining Using Random Forests bydata emerges, data mining is finally in the spotlight. This
How does insulin work? Pierre De Meyts = Chuck;
Wang, Edith
Transport + Glycogen Synthesis - Gluconeogenesis Lipid Metabolism Protein Synthesis Gene Expression Cell
Group Party, July, 2012 by Slavo & Chuck & Yinming
Fadley, Charles
;Naomi Kaduwela David Palomares #12;Eric Tober: 1997 ...and Elena #12;Javier and Javier Jr. Palomares #12
Charles "Chuck" Farrar to receive DeMichele Award
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Best Paper Award (twice) NNSA Defense Programs Award of Excellence Norfolk Naval Shipyard Certificate of Achievement. About the Society for Experimental Mechanics The Society...
Chuck Kessel Wins the 2015 Fusion Technology Award | Princeton Plasma
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D BGene NetworkNuclearDNP 2008 1Browse by Topic5, 2012Chu: U.S.
Chuck Kessel Wins the 2015 Fusion Technology Award | Princeton Plasma
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D BGene NetworkNuclearDNP 2008 1Browse by Topic5, 2012Chu:
Defense Secretary Chuck Hagel visits Sandia | National Nuclear Security
National Nuclear Security Administration (NNSA)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal Gas &SCE-SessionsSouthReporteeo | National/%2A en| National
Deep Recursive Neural Networks for Compositionality in Language
Cardie, Claire
Deep Recursive Neural Networks for Compositionality in Language Ozan Irsoy Department of Computer representations. Even though these architectures are deep in structure, they lack the capacity for hierarchical representation that exists in conventional deep feed-forward networks as well as in recently investigated deep
Deep Belief Networks The New Generation of Neural Networks1
Hernández Lobato, José Miguel
Deep Belief Networks The New Generation of Neural Networks1 Jos´e Miguel Hern´andez Lobato This presentation is mainly based on the work by Geoffrey E. Hinton. 1 / 28 #12;Deep Belief Networks Outline 1 Boltzmann Machines 2 Restricted Boltzmann Machines 3 Deep Belief Networks 4 Applications of Deep Belief
Deep Learning: An Introduction from the NLP Perspective
Duh, Kevin
Deep Learning: An Introduction from the NLP Perspective Kevin Duh NAIST August 19, 2012 #12;Introduction Neural Networks Deep Learning Approach 1 Deep Learning Approach 2 Disclaimer I am not (yet) an expert in Deep Learning. Let me know if these slides contain any mistakes. The focus here is Natural
Deep Learning Representation using Autoencoder for 3D Shape Retrieval
Deep Learning Representation using Autoencoder for 3D Shape Retrieval Zhuotun Zhu, Xinggang Wang@hust.edu.cn Abstract--We study the problem of how to build a deep learning representation for 3D shape. Deep learning the features learned on 2D images. In addition, we show the proposed deep learning feature is complementary
DEEP MATHEMATICAL RESULTS ARE THE ONES THAT CONNECT
Kreinovich, Vladik
DEEP MATHEMATICAL RESULTS ARE THE ONES THAT CONNECT SEEMINGLY UNRELATED AREAS: TOWARDS A FORMAL is a mathematical result deep? At first glance, the answer to this question is subjective: what is deep for one mathematician may not sound that deep for another. A renowned mathematician Gian-Carlo Rota expressed an opinion
Deep Architectures for Articulatory Inversion Benigno Uria1
Edinburgh, University of
Deep Architectures for Articulatory Inversion Benigno Uria1 , Iain Murray1 , Steve Renals2 , Korin.uria@ed.ac.uk, i.murray@ed.ac.uk, s.renals@ed.ac.uk, korin@cstr.ed.ac.uk Abstract We implement two deep architectures for the acoustic- articulatory inversion mapping problem: a deep neural network and a deep
Government Information Interest Group (GIIG) Rolling in the Deep Web
Nair, Sankar
Government Information Interest Group (GIIG) Rolling in the Deep Web: Mining free resources;Most Science Info Is in the Deep Web Federated Searching Federated search drills down to the deep web where scientific databases reside Students and researchers need information from the deep web. Unlike
Pressure in a deep-water Stokes wave David Henry
Pressure in a deep-water Stokes wave David Henry School of Mathematical Sciences Dublin City description of the pressure distribution function for a deep-water Stokes wave. Keywords: Stokes wave, deep provide a qualitative description of the pressure distribution beneath the free surface of a deep-water
Deep water properties, velocities, and dynamics over ocean trenches
Johnson, Gregory C.
Deep water properties, velocities, and dynamics over ocean trenches by Gregory C. Johnson1 ABSTRACT Observations of water properties and deep currents over several trenches in the Paci c Ocean central basins and modeled owing away from an eastern deep-water source (Warren, 1982) and toward an eastern deep-water sink
Detecting Tampering in Random Graphs
Pinsky, Ross G
2012-01-01
Let $\\mathcal{G}_n=(V_n,E_n)$ be a growing sequence of deterministic finite graphs, with $V_n$ denoting the vertices and $E_n$ denoting the edges. Consider the random graph $\\mathcal{G}_n(p_n)=(V_n, E_n(p_n))$ obtained by including any given edge with probability $p_n$, independent of other edges, and let $P_n^{p_n}$ denote the corresponding probability measure on $\\mathcal{G}_n$. Now tamper with the random graph in some regular way. For example, if $\\mathcal{G}_n$ is the complete graph on $n$ vertices, so that $\\mathcal{G}_n(p_n)$ is the Erdos-Renyi graph, then one might tamper with it by disconnecting all the edges of a randomly chosen vertex, or by adding all the edges of a randomly chosen Hamiltonian path from $\\mathcal{G}_n$, or by adding all the edges of a randomly chosen clique of order $k_n$ from $\\mathcal{G}_n$. Denote the resulting induced measure on $\\mathcal{G}_n$ by $P_n^{p_n,\\text{tamper}}$. The tampering is called \\it detectable\\rm\\ if $\\lim_{n\\to\\infty}||P_n^{p_n,\\text{tamper}}-P_n^{p_n}||_{\\t...
Deep-Sea Research I 53 (2006) 17621771 Gouge marks on deep-sea mud volcanoes in the eastern
Hooker, Sascha K.
2006-01-01
Deep-Sea Research I 53 (2006) 17621771 Gouge marks on deep-sea mud volcanoes in the eastern in the eastern Mediterranean Sea. The marks consist of a central groove (about 10 cm deep and 12 m long like the deep-diving whales. The characteristic high acoustic backscatter of the mud volcanoes would
Deep-Sea Research I 53 (2006) 17181728 A North Atlantic deep-water eddy in the
Miami, University of
2006-01-01
Deep-Sea Research I 53 (2006) 17181728 A North Atlantic deep-water eddy in the Agulhas Current the deep waters, pinching off an eddy, which later detached from the slope current and was carried. Keywords: Circulation; Indian Ocean; Boundary currents; Agulhas Current; Deep water; Oceanic eddies 1
Deep-Sea Research I 50 (2003) 10791098 An additional deep-water mass in Drake Passage as
Stevens, David
2003-01-01
Deep-Sea Research I 50 (2003) 10791098 An additional deep-water mass in Drake Passage as revealed Circumpolar Deep Water (LCDW, UCDW), and is concentrated towards the northern continental slope. 3 He water mass analysis (including 3 He as a parameter), we find that deep waters as met at the 43 S Pacific
Homogeneous Random Measures and Strongly Supermedian Kernels
Fitzsimmons, Patrick J.
. Keywords and phrases: Homogeneous random measure, additive functional, Kuznets* *ov measure, potential
Harnessing the Deep Web: Present and Future
Madhavan, Jayant; Antova, Lyublena; Halevy, Alon
2009-01-01
Over the past few years, we have built a system that has exposed large volumes of Deep-Web content to Google.com users. The content that our system exposes contributes to more than 1000 search queries per-second and spans over 50 languages and hundreds of domains. The Deep Web has long been acknowledged to be a major source of structured data on the web, and hence accessing Deep-Web content has long been a problem of interest in the data management community. In this paper, we report on where we believe the Deep Web provides value and where it does not. We contrast two very different approaches to exposing Deep-Web content -- the surfacing approach that we used, and the virtual integration approach that has often been pursued in the data management literature. We emphasize where the values of each of the two approaches lie and caution against potential pitfalls. We outline important areas of future research and, in particular, emphasize the value that can be derived from analyzing large collections of potenti...
Random sequential adsorption of tetramers
Micha? Cie?la
2013-06-12
Adsorption of tetramer built of four identical spheres was studied numerically using the Random Sequential Adsorption (RSA) algorithm. Tetramers were adsorbed on a two dimensional, flat and homogeneous surface. Two different models of the adsorbate were investigated: a rhomboid and a square one; monomer centres were put on vertices of rhomboids and squares, respectively. Numerical simulations allow to establish the maximal random coverage ratio as well as the Available Surface Function (ASF), which is crucial for determining kinetics of the adsorption process. These results were compared with data obtained experimentally for KfrA plasmid adsorption. Additionally, the density autocorrelation function was measured.
Random Walks and Electrical Networks Electrical Network Calculations in Random Walks in
Peterson, Jonathon
Random Walks and Electrical Networks Electrical Network Calculations in Random Walks in Random 2/4/2008 1 / 23 #12;Random Walks and Electrical Networks Much of this talk is based on the book Random Walks and Electric Networks by Peter G. Doyle and J. Laurie Snell. Free download available at http
Arumugam, Vinodiran
2013-07-01
The centrepiece of this thesis is a deep, new, high-resolution 1.4-GHz image covering the United Kingdom Infrared (IR) Telescope IR Deep Sky Survey (UKIDSS) Ultra Deep Survey (UDS) legacy field. Deep pseudo-continuum ...
Supersymmetry in Random Matrix Theory
Thomas Guhr
2010-05-06
Supersymmetry is nowadays indispensable for many problems in Random Matrix Theory. It is presented here with an emphasis on conceptual and structural issues. An introduction to supermathematics is given. The Hubbard-Stratonovich transformation as well as its generalization and superbosonization are explained. The supersymmetric non-linear sigma model, Brownian motion in superspace and the color-flavor transformation are discussed.
Models of random graph hierarchies
Paluch, Robert; Holyst, Janusz
2015-01-01
We introduce two models of inclusion hierarchies: Random Graph Hierarchy (RGH) and Limited Random Graph Hierarchy (LRGH). In both models a set of nodes at a given hierarchy level is connected randomly, as in the Erd\\H{o}s-R\\'{e}nyi random graph, with a fixed average degree equal to a system parameter $c$. Clusters of the resulting network are treated as nodes at the next hierarchy level and they are connected again at this level and so on, until the process cannot continue. In the RGH model we use all clusters, including those of size $1$, when building the next hierarchy level, while in the LRGH model clusters of size $1$ stop participating in further steps. We find that in both models the number of nodes at a given hierarchy level $h$ decreases approximately exponentially with $h$. The height of the hierarchy $H$, i.e. the number of all hierarchy levels, increases logarithmically with the system size $N$, i.e. with the number of nodes at the first level. The height $H$ decreases monotonically with the conne...
DEEP SEA DRILLING PROJECT DATA FILE DOCUMENTS
DEEP SEA DRILLING PROJECT DATA FILE DOCUMENTS Ocean Drilling Program Texas A&M University Technical; however, republication of any portion requires the written consent of the Director, Ocean Drilling Program, Texas A&M University Research Park, 1000 Discovery Drive, College Station, Texas 77840, as well
Structured deep learning :! Pose and gestures!
Wolf, Christian
(articulated pose)! - Audio! Multiple scales:! - full upper-body motion! - fine hand articulation! - short operating at 3 temporal scales corresponding to s of 3 different durations. Although the audio modality by augmenting the visual signal wi #12;Single-scale deep architecture! HLV2 ConvD2 ConvD1 ConvC1 ConvC1 ConvC2
Food Image Recognition with Deep Convolutional Features
Yanai, Keiji
Food Image Recognition with Deep Convolutional Features Yoshiyuki KAWANO Department of Informatics food recognition accuracy greatly by integrating it with conventional hand-crafted image features accuracy and 92.00% as the top-5 accuracy for the 100-class food dataset, UEC-FOOD100, which outperforms
Transmission enhancement through deep subwavelength apertures using connected split
Transmission enhancement through deep subwavelength apertures using connected split ring resonators transmission enhancement factors through a subwavelength aperture at microwave frequencies by placing connected transmission through a deep subwavelength aperture with an electrical size of /31×/12 (width × length
An innovative concept for deep water oil production platform design
Racine, Florian
1994-01-01
As more oil and gas are discovered in deep water, the offshore industry has become increasingly interested in the design of deep water offshore production facilities. A new design concept tentatively called FPSOT (Floating Production, Storage...
Automating website profiling for a deep web search engine
Yuan, Jeffrey W. (Jeffrey Weijie)
2009-01-01
The deep web consists of information on the internet that resides in databases or is dynamically generated. It is believed that the deep web represents a large percentage of the total contents on the web, but is currently ...
Random access wireless networks with controlled mobility
Modiano, Eytan H.
This paper considers wireless networks where messages arriving randomly (in time and space) are collected by a mobile receiver. The messages are transmitted to the mobile receiver according to a random access scheme and ...
Deep Challenges for Foundation Performance at Savannah River Site
Broader source: Energy.gov [DOE]
Deep Challenges for Foundation Performance at Savannah River Site Frank H. Syms and Brent Gutierrez October 22, 2014
EFFICIENT STOCHASTIC GALERKIN METHODS FOR RANDOM ...
2008-09-16
EFFICIENT STOCHASTIC GALERKIN METHODS FOR RANDOM. DIFFUSION EQUATIONS. DONGBIN XIU? AND JIE SHEN†. Abstract. We discuss in this ...
BlindBox: Deep Packet Inspection over Encrypted Traffic
International Association for Cryptologic Research (IACR)
BlindBox: Deep Packet Inspection over Encrypted Traffic Justine Sherry UC Berkeley Chang Lan UC middleboxes perform deep packet inspection (DPI), a set of useful tasks which examine packet payloads that simultaneously provides both of these properties. The approach of Blind- Box is to perform the deep
Convex Deep Learning via Normalized Kernels Ozlem Aslan
Schuurmans, Dale
Convex Deep Learning via Normalized Kernels ¨Ozlem Aslan Dept of Computing Science University Deep learning has been a long standing pursuit in machine learning, which until recently was hampered meth- ods while expanding the range of representable structures toward deep models. In this paper, we
Deep inference proof theory equals categorical proof theory minus coherence
Pratt, Vaughan
Deep inference proof theory equals categorical proof theory minus coherence DOMINIC J. D. HUGHES Stanford University October 6, 2004 Abstract This paper links deep inference proof theory, as studied by Guglielmi et al., to categorical proof theory in the sense of Lambek et al.. It observes how deep inference
Deep Predictive Coding Networks Rakesh Chalasani Jose C. Principe
Slatton, Clint
Deep Predictive Coding Networks Rakesh Chalasani Jose C. Principe Department of Electrical@cnel.ufl.edu Abstract The quality of data representation in deep learning methods is directly related to the prior model to the context in the data. To address this issue, we propose deep predictive coding networks, a hierarchical
Deep Learning & Neural Networks Graduate School of Information Science
Duh, Kevin
Deep Learning & Neural Networks Lecture 2 Kevin Duh Graduate School of Information Science Nara Institute of Science and Technology Jan 16, 2014 #12;Today's Topics 1 General Ideas in Deep Learning Motivation for Deep Architectures and why is it hard? Main Breakthrough in 2006: Layer-wise Pre-Training 2
Deep Equality Revisited \\Lambda Serge Abiteboul Jan Van den Bussche
Abiteboul, Serge
Deep Equality Revisited \\Lambda Serge Abiteboul Jan Van den Bussche INRIA Rocquencourt y Abstract We revisit the notion of deep equality among objects in an ob ject database from a formal point of view. We present three natural formalizations of deep equality: one based on the infinite value
Deep Learning & Neural Networks Graduate School of Information Science
Duh, Kevin
Deep Learning & Neural Networks Lecture 1 Kevin Duh Graduate School of Information Science Nara Institute of Science and Technology Jan 14, 2014 #12;2/40 #12;3/40 #12;4/40 #12;What is Deep Learning? A family of methods that uses deep architectures to learn high-level feature representations 5/40 #12;What
Deep mutational scanning: assessing protein function on a massive scale
Fields, Stan
Deep mutational scanning: assessing protein function on a massive scale Carlos L. Araya1 of mutants that span the activity range from high to low. Such deep mutational scanning approaches are rapid and inexpensive, with the potential for broad utility. Here, we discuss the emergence of deep mutational scanning
DEEP LEARNING FOR ROBUST FEATURE GENERATION IN AUDIOVISUAL EMOTION RECOGNITION
Cafarella, Michael J.
DEEP LEARNING FOR ROBUST FEATURE GENERATION IN AUDIOVISUAL EMOTION RECOGNITION Yelin Kim, Honglak features or alternatively require the use of labeled data. In this paper we focus on deep learning- actions in multimodal data. We propose and evaluate a suite of Deep Belief Network models, and demonstrate
Deep Neural Networks for Acoustic Modeling in Speech Recognition
Cortes, Corinna
1 Deep Neural Networks for Acoustic Modeling in Speech Recognition Geoffrey Hinton, Li Deng, Dong states as output. Deep neural networks with many hidden layers, that are trained using new methods have views of four research groups who have had recent successes in using deep neural networks for acoustic
FINITELY DEEP MATRICES JOHN FAULKNER AND KEVIN MCCRIMMON
FINITELY DEEP MATRICES JOHN FAULKNER AND KEVIN MCCRIMMON Dedicated to Ivan Shestakov on the occasion of his 60th birthday Abstract. In the algebraic study of deep matrices DMX(F) on a finite set sets, is itself a central simple algebra. In this paper we extend the result to deep matrices
Deep brain stimulation for chronic pain investigated with magnetoencephalography
Cornelissen, Piers
Deep brain stimulation for chronic pain investigated with magnetoencephalography Morten L CharitableTrust. Received11September 2006; accepted14 September 2006 Deep brain stimulation has shown by magne- toencephalography to map changes in neural activity induced by deep brain stimulation
DEEP: A Provenance-Aware Executable Document System
Browne, William J.
DEEP: A Provenance-Aware Executable Document System Huanjia Yang1 , Danius T. Michaelides1 , Chris of both techniques. In this paper, we introduce the design and development of Deep, an executable document. In the e-Stat project, we have devel- oped Deep(Documents with Embedded Execution and Provenance), a system
Deep South China Sea circulation Guihua Wang,1,2
Xie, Shang-Ping
Deep South China Sea circulation Guihua Wang,1,2 ShangPing Xie,2,3 Tangdong Qu,2 and Rui Xin Huang4 Environment Model reveals a basin scale cyclonic circulation over the deep South China Sea (SCS). The cyclonic, and potential density in the deep SCS are consistent with the existence of the cyclonic circulation
Unsupervised Deep Learning: A Short Review Juha Karhunen1
Karhunen, Juha
Unsupervised Deep Learning: A Short Review Juha Karhunen1 , Tapani Raiko1 , and KyungHyun Cho2 1. Deep neural networks with several layers have during the last years become a highly successful and applications. A key idea in deep learning is to not only learn the nonlinear mapping between the inputs
Deep water gives up another secret Craig E. Manning1
Manning, Craig
COMMENTARY Deep water gives up another secret Craig E. Manning1 Department of Earth and Space that constrain one of water's most important properties at deep-earth conditions: its dielec- tric constant's "ring of fire" erupt explosively because the magmas carry water from the deep interior. Water influ
Deep convective parameterization: Some issues (and some solutions?)
Plant, Robert
are basically an exercise in engineering / tuning fairly bad Deep convective parameterization p.1/4 #12;Aim in engineering / tuning fairly bad The reality is that deep convective parameterizations are basicallyDeep convective parameterization: Some issues (and some solutions?) Bob Plant Department
BOSTON HARBOR, MASSACHUSETTS DEEP DRAFT NAVIGATION IMPROVEMENT PROJECT
US Army Corps of Engineers
entrance channels connecting Massachusetts Bay to the harbor, deep water anchorages in the harbor, a mainBOSTON HARBOR, MASSACHUSETTS DEEP DRAFT NAVIGATION IMPROVEMENT PROJECT Civil Works Review Board Re-Presentation - 26 April 2013 ABSTRACT: The Boston Harbor Deep Draft Navigation Improvement Project consists
NON-INVASIVE MEASUREMENT OF DEEP TISSUE TEMPERATURE CHANGES
Yodh, Arjun G.
deep tissue temperature using subtle spectral features of the water peak at 975 nm.3 A signi- ging (DOSI) to measure deep tissue temperature, using spectral features of the water absorption peakNON-INVASIVE MEASUREMENT OF DEEP TISSUE TEMPERATURE CHANGES CAUSED BY APOPTOSIS DURING BREAST
Deep Web Integration with VisQI Thomas Kabisch
Meng, Weiyi
Deep Web Integration with VisQI Thomas Kabisch Humboldt-Universit¨at zu Berlin Berlin, Germany of Deep Web sources. Building sys- tems which would be able to automatically use all or a large fraction of all Deep Web sources of a given domain, such as airline reservation in the USA, would offer great
The deep structure of Axial Volcano Michael West
West, Michael
available on Web #12;The deep structure of Axial Volcano IV. Magma Reservoir beneath Axial Volcano AxialThe deep structure of Axial Volcano Michael West Thesis defense, June 4, 2001 #12;Motivation What at Axial may be interpreted (NeMO, Neptune) #12;The deep structure of Axial Volcano IV. Magma Reservoir
Article ID: Query Translation on the Fly in Deep Web
Article ID: Query Translation on the Fly in Deep Web Integration Jiang Fangjiao, Jia Linlin, Meng users to access the desired information, many researches have dedicated to the Deep Web (i.e. Web databases) integration. We focus on query translation which is an important part of the Deep Web integration
A Deep Web Data Integration System for Job , Ling yanyan
A Deep Web Data Integration System for Job Search Liu wei 1, Li xian 1 , Ling yanyan 1 , Zhang build a deep web data integration system that supports unified access for users to multiple job web interfaces. We call this kind of web data "Deep Web", the online databases "Web database", and the form
Annotation of the Shallow and the Deep Siegfried Handschuh
Staab, Steffen
Annotation of the Shallow and the Deep Web Siegfried Handschuh½ and Steffen Staab½ ¾ ½ Institute a framework,CREAM, that allows the creation of semantic annotation on the Shallow and the Deep Web. Hence with the simultaneous creation of metadata, and the deep annotation. 1 Introduction The semantic web the web
30.-DEEP-WATER OYSTER CULTURE. BP HENRY C. ROWE.
30.-DEEP-WATER OYSTER CULTURE. BP HENRY C. ROWE. It is conceded,I think, that the oyster-growersof Ckmnecticut have taken the lead in the artificial propagation and cultivation of oysters in deep water; by deep water I mean a depth of from 30 to 75 feet. It is but twenty years since the commencement
Transverse instabilities of deep-water solitary waves
Carter, John
Transverse instabilities of deep-water solitary waves BY BERNARD DECONINCK 1, *, DMITRY E train in deep water is described by a one-dimensional soliton solution of a two- dimensional nonlinear capillary waves in deep water that may be two-dimensional, nearly monochro- matic, and are slowly modulated
ORNL 'deep retrofits' can cut home energy bills in half
Oak Ridge National Laboratory
. Deep energy retrofits are renovations to existing structures that use the latest in energyORNL 'deep retrofits' can cut home energy bills in half November 25, 2009 ORNL's Jeff Christian Ridge National Laboratory has announced plans to conduct a series of deep energy retrofit research
Choosing a Random Peer [Extended Abstract
Saia, Jared
damental statistical operation; a function which chooses a random peer can be used for many types collection by statistically rig orous sampling methods; to provide support for randomized, distributed algorithms over peertopeer networks; and to support the creation and maintenance of random links
Choosing a Random Peer [Extended Abstract
Saia, Jared
- damental statistical operation; a function which chooses a random peer can be used for many types collection by statistically rig- orous sampling methods; to provide support for randomized, distributed algorithms over peer-to-peer networks; and to support the creation and maintenance of random links
Small diameter, deep bore optical inspection system
Lord, David E. (Livermore, CA); Petrini, Richard R. (Livermore, CA); Carter, Gary W. (Livermore, CA)
1981-01-01
An improved rod optic system for inspecting small diameter, deep bores. The system consists of a rod optic system utilizing a curved mirror at the end of the rod lens such that the optical path through the system is bent 90.degree. to minimize optical distortion in examining the sides of a curved bore. The system is particularly useful in the examination of small bores for corrosion, and is capable of examining 1/16 inch diameter and up to 4 inch deep drill holes, for example. The positioning of the curved mirror allows simultaneous viewing from shallow and right angle points of observation of the same artifact (such as corrosion) in the bore hole. The improved rod optic system may be used for direct eye sighting, or in combination with a still camera or a low-light television monitor; particularly low-light color television.
Benchmark field study of deep neutron penetration
Morgan, J.F.; Sale, K. ); Gold, R.; Roberts, J.H.; Preston, C.C. )
1991-06-10
A unique benchmark neutron field has been established at the Lawrence Livermore National Laboratory (LLNL) to study deep penetration neutron transport. At LLNL, a tandem accelerator is used to generate a monoenergetic neutron source that permits investigation of deep neutron penetration under conditions that are virtually ideal to model, namely the transport of mono-energetic neutrons through a single material in a simple geometry. General features of the Lawrence Tandem (LATAN) benchmark field are described with emphasis on neutron source characteristics and room return background. The single material chosen for the first benchmark, LATAN-1, is a steel representative of Light Water Reactor (LWR) Pressure Vessels (PV). Also included is a brief description of the Little Boy replica, a critical reactor assembly designed to mimic the radiation doses from the atomic bomb dropped on Hiroshima, and its us in neutron spectrometry. 18 refs.
Completion practices in deep sour Tuscaloosa wells
Huntoon, G.G.
1984-01-01
Successful development of the Tuscaloosa trend in Louisiana has required unique completion practices to produce the trend's deep sour formations. Amoco's operations in the Tuscaloosa formation are between 16,000 and 21,000 ft (4877 and 6400 m), and a range of pressure environments, high temperatures, and corrosive elements is encountered. Application of proved completion practices and equipment has resulted in several techniques that enhance the safety, longevity, and production capacity of these wells. The design of deep Tuscaloosa completions is assisted by a series of correlations developed to project bottomhole and surface shut-in tubing pressures, temperature gradients, and flow capacities for deep sour wells. This paper discusses material selection, completion practices, completion fluids, wellhead equipment, packer designs, corrosion-inhibition systems, and safety and monitoring equipment used in the Tuscaloosa trend. The design of a wellhead surface installation used to detect equipment failure, to pump kill fluids, and to circulate corrosion inhibitors is reviewed. A case study illustrates the methods used in completing a Tuscaloosa well with surface pressures exceeding 16,000 psi (110.3 MPa). Deep high-pressure sour-gas wells can be completed safely if all the elements of the environment that will affect the mechanical integrity of the wellbore are considered in the completion designs. The development of higher-strength material capable of withstanding SSC is needed if wells are completed in formations deeper than 22,000 ft (6700 m). Further research is necessary on the use of alloy steels and nonferrous metals for sour service. Effective high-temperature corrosion inhibitors for heavy zinc bromide completion fluids must be developed before these brines can be used in the Tuscaloosa. The testing of new inhibitors for use in highpressure sour-gas completions should be continued.
Inclusive Deep-Inelastic Scattering at HERA
Zhiqing Zhang; for the H1; ZEUS Collaborations
2014-12-19
This contribution covers three recent results on deep-inelastic scattering at HERA: (i) new measurements of the proton longitudinal structure function $F_L$ from H1 and ZEUS experiments, (ii) a dedicated NC cross section measurement from ZEUS in the region of high Bjorken $x$, and (iii) preliminary combination results of all HERA inclusive data published up to now by H1 and ZEUS, taking into account the experimental correlations between measurements.
Deep Inelastic Scattering -- Theory and Phenomenology
B. R. Webber
1996-07-26
Recent developments in theory and phenomenology relevant to deep inelastic lepton scattering are reviewed, concentrating on the following topics: Predicted behaviour of non-singlet and polarized structure functions at small $x$; Theoretical studies of saturation and unitarity effects at small $x$ in quarkonium scattering; Renormalons and higher twist contributions; Next-to-leading-order calculations of jet cross sections; Forward jet production as a probe of small-$x$ dynamics.
Hawaii Deep Water Cable Program: Executive Summary
1990-09-01
The Hawaii Deep Water Cable Program has succeeded unequivocally in determining the feasibility of deploying a submarine power cable system between the islands of Hawaii and Oahu. Major accomplishments of the program include designing, fabricating and testing an appropriate power cable, developing an integrated system to control all aspects of the cable laying operation, and testing all deployment systems at sea in the most challenging sections of the route.
Deep Vadose Zone | Department of Energy
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based| Department8, 20153Daniel Boff AboutofPlumbingUtilities,FuelDeep Vadose
H. Dehling; S. R. Fleurke; C. Kuelske
2007-11-26
Consider an infinite tree with random degrees, i.i.d. over the sites, with a prescribed probability distribution with generating function G(s). We consider the following variation of Renyi's parking problem, alternatively called blocking RSA: at every vertex of the tree a particle (or car) arrives with rate one. The particle sticks to the vertex whenever the vertex and all of its nearest neighbors are not occupied yet. We provide an explicit expression for the so-called parking constant in terms of the generating function.
Random sets and confidence procedures
Barnett, William A.
1979-06-01
) —* (Y, -T, (Qe)eee) be a random set with Y C ^ ( 0 ) - {0} and with Qe the probability distribution of S induced on Y by P0. Assume that S is surjective. The relation of statistical confidence sets to the following definition will be investigated... of confidence procedures now can be defined. DEFINITION 6. Let S be a confidence procedure. Then S has (lower) confidence level y — inl{Q6{êe) \\ 6 ^ Q). If S is a confidence pro cedure, and if x E ST, then S(x) will be called a confidence subset of 0...
Deep Sludge Gas Release Event Analytical Evaluation
Sams, Terry L.
2013-08-15
Long Abstract. Full Text. The purpose of the Deep Sludge Gas Release Event Analytical Evaluation (DSGRE-AE) is to evaluate the postulated hypothesis that a hydrogen GRE may occur in Hanford tanks containing waste sludges at levels greater than previously experienced. There is a need to understand gas retention and release hazards in sludge beds which are 200 -300 inches deep. These sludge beds are deeper than historical Hanford sludge waste beds, and are created when waste is retrieved from older single-shell tanks (SST) and transferred to newer double-shell tanks (DST).Retrieval of waste from SSTs reduces the risk to the environment from leakage or potential leakage of waste into the ground from these tanks. However, the possibility of an energetic event (flammable gas accident) in the retrieval receiver DST is worse than slow leakage. Lines of inquiry, therefore, are (1) can sludge waste be stored safely in deep beds; (2) can gas release events (GRE) be prevented by periodically degassing the sludge (e.g., mixer pump); or (3) does the retrieval strategy need to be altered to limit sludge bed height by retrieving into additional DSTs? The scope of this effort is to provide expert advice on whether or not to move forward with the generation of deep beds of sludge through retrieval of C-Farm tanks. Evaluation of possible mitigation methods (e.g., using mixer pumps to release gas, retrieving into an additional DST) are being evaluated by a second team and are not discussed in this report. While available data and engineering judgment indicate that increased gas retention (retained gas fraction) in DST sludge at depths resulting from the completion of SST 241-C Tank Farm retrievals is not expected and, even if gas releases were to occur, they would be small and local, a positive USQ was declared (Occurrence Report EM-RP--WRPS-TANKFARM-2012-0014, "Potential Exists for a Large Spontaneous Gas Release Event in Deep Settled Waste Sludge"). The purpose of this technical report is to (1) present and discuss current understandings of gas retention and release mechanisms for deep sludge in U.S. Department of Energy (DOE) complex waste storage tanks; and (2) to identify viable methods/criteria for demonstrating safety relative to deep sludge gas release events (DSGRE) in the near term to support the Hanford C-Farm retrieval mission. A secondary purpose is to identify viable methods/criteria for demonstrating safety relative to DSGREs in the longer term to support the mission to retrieve waste from the Hanford Tank Farms and deliver it to the Waste Treatment and Immobilization Plant (WTP). The potential DSGRE issue resulted in the declaration of a positive Unreviewed Safety Question (USQ). C-Farm retrievals are currently proceeding under a Justification for Continued Operation (JCO) that only allows tanks 241-AN-101 and 241-AN-106 sludge levels of 192 inches and 195 inches, respectively. C-Farm retrievals need deeper sludge levels (approximately 310 inches in 241-AN-101 and approximately 250 inches in 241-AN-106). This effort is to provide analytical data and justification to continue retrievals in a safe and efficient manner.
National Grid Deep Energy Retrofit Pilot
Neuhauser, K.
2012-03-01
Through discussion of five case studies (test homes), this project evaluates strategies to elevate the performance of existing homes to a level commensurate with best-in-class implementation of high-performance new construction homes. The test homes featured in this research activity participated in Deep Energy Retrofit (DER) Pilot Program sponsored by the electric and gas utility National Grid in Massachusetts and Rhode Island. Building enclosure retrofit strategies are evaluated for impact on durability and indoor air quality in addition to energy performance.
Coiled tubing facilitates deep underbalanced workover
Adams, L.S.; Overstreet, C.C.
1997-03-31
A recent workover shows the technical capability and cost effectiveness of coiled tubing for cleaning out scale in a 22,611-ft, low pressure, high-temperature gas well. The well, operated by Chevron USA Production Co., is in the Fort Stockton Gas Unit 5-1 Gomez (Ellenburger) field, in West Texas. The development of reliable 100,000-psi minimal yield strength coiled tubing was a major factor that allowed this work to succeed. The methods demonstrated by this workover are becoming a standard for deep well cleanouts in the Gomez (Ellenburger) field. The paper describes coiled tubing advantages, well history, and implementation.
Colored condensates deep inside neutron stars
David Blaschke
2014-07-28
It is demonstrated how in the absence of solutions for QCD under conditions deep inside compact stars an equation of state can be obtained within a model that is built on the basic symmetries of the QCD Lagrangian, in particular chiral symmetry and color symmetry. While in the vacuum the chiral symmetry is spontaneously broken, it gets restored at high densities. Color symmetry, however, gets broken simultaneously by the formation of colorful diquark condensates. It is shown that a strong diquark condensate in cold dense quark matter is essential for supporting the possibility that such states could exist in the recently observed pulsars with masses of 2 $M_\\odot$.
Redding, Brandon; Sarma, Raktim
2013-01-01
Light scattering in disordered media has been studied extensively due to its prevalence in natural and artificial systems [1]. In the field of photonics most of the research has focused on understanding and mitigating the effects of scattering, which are often detrimental. For certain applications, however, intentionally introducing disorder can actually improve the device performance, e.g., in photovoltaics optical scattering improves the efficiency of light harvesting [2-5]. Here, we utilize multiple scattering in a random photonic structure to build a compact on-chip spectrometer. The probe signal diffuses through a scattering medium generating wavelength-dependent speckle patterns which can be used to recover the input spectrum after calibration. Multiple scattering increases the optical pathlength by folding the paths in a confined geometry, enhancing the spectral decorrelation of speckle patterns and thus increasing the spectral resolution. By designing and fabricating the spectrometer on a silicon wafe...
True random numbers from amplified quantum vacuum
M. Jofre; M. Curty; F. Steinlechner; G. Anzolin; J. P. Torres; M. W. Mitchell; V. Pruneri
2011-10-17
Random numbers are essential for applications ranging from secure communications to numerical simulation and quantitative finance. Algorithms can rapidly produce pseudo-random outcomes, series of numbers that mimic most properties of true random numbers while quantum random number generators (QRNGs) exploit intrinsic quantum randomness to produce true random numbers. Single-photon QRNGs are conceptually simple but produce few random bits per detection. In contrast, vacuum fluctuations are a vast resource for QRNGs: they are broad-band and thus can encode many random bits per second. Direct recording of vacuum fluctuations is possible, but requires shot-noise-limited detectors, at the cost of bandwidth. We demonstrate efficient conversion of vacuum fluctuations to true random bits using optical amplification of vacuum and interferometry. Using commercially-available optical components we demonstrate a QRNG at a bit rate of 1.11 Gbps. The proposed scheme has the potential to be extended to 10 Gbps and even up to 100 Gbps by taking advantage of high speed modulation sources and detectors for optical fiber telecommunication devices.
Logarithmic Opinion Pools for Conditional Random Fields
Smith, Andrew
2007-06-26
Since their recent introduction, conditional random fields (CRFs) have been successfully applied to a multitude of structured labelling tasks in many different domains. Examples include natural language processing ...
The random lattice as a regularization scheme
B. Alles
1994-12-05
A semi-analytic method to compute the first coefficients of the renormalization group functions on a random lattice is introduced. It is used to show that the two-dimensional $O(N)$ non-linear $\\sigma$-model regularized on a random lattice has the correct continuum limit. A degree $\\kappa$ of ``randomness'' in the lattice is introduced and an estimate of the ratio $\\Lambda_{random}/\\Lambda_{regular}$ for two rather opposite values of $\\kappa$ in the $\\sigma$-model is also given. This ratio turns out to depend on $\\kappa$.
National Grid Deep Energy Retrofit Pilot
Neuhauser, K.
2012-03-01
Through discussion of five case studies (test homes), this project evaluates strategies to elevate the performance of existing homes to a level commensurate with best-in-class implementation of high-performance new construction homes. The test homes featured in this research activity participated in Deep Energy Retrofit (DER) Pilot Program sponsored by the electric and gas utility National Grid in Massachusetts and Rhode Island. Building enclosure retrofit strategies are evaluated for impact on durability and indoor air quality in addition to energy performance. Evaluation of strategies is structured around the critical control functions of water, airflow, vapor flow, and thermal control. The aim of the research project is to develop guidance that could serve as a foundation for wider adoption of high performance, 'deep' retrofit work. The project will identify risk factors endemic to advanced retrofit in the context of the general building type, configuration and vintage encountered in the National Grid DER Pilot. Results for the test homes are based on observation and performance testing of recently completed projects. Additional observation would be needed to fully gauge long-term energy performance, durability, and occupant comfort.
SKA Deep Polarization and Cosmic Magnetism
Taylor, A R; Akahori, Takuya; Beck, Rainer; Gaensler, Bryan; Heald, George; Johnston-Hollitt, Melanie; Langer, Mathieu; Rudnick, Lawrence; Ryu, Dongsu; Scaife, Anna; Schleicher, Dominik; Stil, Jeroen
2015-01-01
Deep surveys with the SKA1-MID array offer for the first time the opportunity to systematically explore the polarization properties of the microJy source population. Our knowledge of the polarized sky approaching these levels is still very limited. In total intensity the population will be dominated by star-forming and normal galaxies to intermediate redshifts ($z \\sim1-2$), and low-luminosity AGN to high redshift. The polarized emission from these objects is a powerful probe of their intrinsic magnetic fields and of their magnetic environments. For redshift of order 1 and above the broad bandwidth of the mid-bands span the Faraday thick and thin regimes allowing study of the intrinsic polarization properties of these objects as well as depolarization from embedded and foreground plasmas. The deep field polarization images will provide Rotation Measures data with very high solid angle density allowing a sensitive statistical analysis of the angular variation of RM on critical arc-minute scales from a magnetic...
Cost reduction in deep water production systems
Beltrao, R.L.C.
1995-12-31
This paper describes a cost reduction program that Petrobras has conceived for its deep water field. Beginning with the Floating Production Unit, a new concept of FPSO was established where a simple system, designed to long term testing, can be upgraded, on the location, to be the definitive production unit. Regarding to the subsea system, the following projects will be considered. (1) Subsea Manifold: There are two 8-well-diverless manifolds designed for 1,000 meters presently under construction and after a value analysis, a new design was achieved for the next generation. Both projects will be discussed and a cost evaluation will also be provided. (2) Subsea Pipelines: Petrobras has just started a large program aiming to reduce cost on this important item. There are several projects such as hybrid (flexible and rigid) pipes for large diameter in deep water, alternatives laying methods, rigid riser on FPS, new material...etc. The authors intend to provide an overview of each project.
The Phoenix Deep Survey: spectroscopic catalog
J. Afonso; A. Georgakakis; C. Almeida; A. M. Hopkins; L. E. Cram; B. Mobasher; M. Sullivan
2005-05-06
The Phoenix Deep Survey is a multi-wavelength survey based on deep 1.4 GHz radio imaging, reaching well into the sub-100 microJy level. One of the aims of this survey is to characterize the sub-mJy radio population, exploring its nature and evolution. In this paper we present the catalog and results of the spectroscopic observations aimed at characterizing the optically ``bright'' (R<~ 21.5 mag) counterparts of faint radio sources. Out of 371 sources with redshift determination, 21% have absorption lines only, 11% show AGN signatures, 32% are star-forming galaxies, 34% show narrow emission lines that do not allow detailed spectral classification (due to poor signal-to-noise ratio and/or lack of diagnostic emission lines) and the remaining 2% are identified with stars. For the star-forming galaxies with a Balmer decrement measurement we find a median extinction of A(Ha)=1.9 mag, higher than that of optically selected samples. This is a result of the radio selection, which is not biased against dusty systems. Using the available spectroscopic information, we estimate the radio luminosity function of star-forming galaxies in two independent redshift bins at z~0.1 and 0.3 respectively. We find direct evidence for strong luminosity evolution of these systems consistent with L(1.4 GHz) ~ (1+z)^(2.7).
ESO Imaging Survey. Deep Public Survey: Infrared Data for the Chandra Deep Field South
B. Vandame; L. F. Olsen; H. E. Jorgensen; M. A. T. Groenewegen; M. Schirmer; S. Arnouts; C. Benoist; L. da Costa; R. P. Mignani; C. Rite'; R. Slijkhuis; E. Hatziminaoglou; R. Hook; R. Madejsky; A. Wicenec
2001-02-19
This paper presents new J and Ks near-infrared data obtained from observations of the Chandra Deep Field South (CDF-S) conducted at the ESO 3.5m New Technology Telescope (NTT). These data were taken as part of the ongoing Deep Public Survey (DPS) being carried out by the ESO Imaging Survey (EIS) program, extending the EIS-DEEP survey. Combined these surveys now provide a contiguous coverage over an area of 400 square arcmin in the near-infrared, nearly matching that covered by the deep X-ray observations of Chandra, four times the area of the original EIS-DEEP survey. The paper briefly describes the observations and the new techniques being employed for pipeline processing jittered infrared observations, which include unbiased de-fringing and sky-background subtraction, pixel-based astrometry and stacking and pixel registration based on a multi-resolution decomposition of the images. The astrometric solution is based on a pre-release of the GSC-II catalog and has an accuracy of < 0.15 arcsec. The final images for 12 pointings presented here reach median 5 sigma limiting magnitudes of J_AB~23.4 and K_AB~22.6 as measured within an aperture 2xFWHM. The frame to frame variation of the photometric zero-point is estimated to be <0.09 mag. The data are publicly available in the form of fully calibrated J and Ks pixel maps and source lists extracted for each pointing. These data can be requested through the URL ``http://www.eso.org/eis''.
Three-Dimensional Simulations of Deep-Water Breaking Waves
Brucker, Kyle A; Dommermuth, Douglas G; Adams, Paul
2014-01-01
The formulation of a canonical deep-water breaking wave problem is introduced, and the results of a set of three-dimensional numerical simulations for deep-water breaking waves are presented. In this paper fully nonlinear progressive waves are generated by applying a normal stress to the free surface. Precise control of the forcing allows for a systematic study of four types of deep-water breaking waves, characterized herein as weak plunging, plunging, strong plunging, and very strong plunging.
EA-1943: Long Baseline Neutrino Facility/Deep Underground Neutrino...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
DUNE) at Fermilab, Batavia, Illinois and the Sanford Underground Research Facility, Lead, South Dakota EA-1943: Long Baseline Neutrino FacilityDeep Underground Neutrino...
The Genome of Deep-Sea Vent Chemolithoautotroph Thiomicrospiracrunogen...
Office of Scientific and Technical Information (OSTI)
Thiomicrospiracrunogena XCL-2 Citation Details In-Document Search Title: The Genome of Deep-Sea Vent Chemolithoautotroph Thiomicrospiracrunogena XCL-2 Presented here is the...
EA-1943: Long Baseline Neutrino Facility/Deep Underground Neutrino...
Broader source: Energy.gov (indexed) [DOE]
May 27, 2015 EA-1943: Draft Environmental Assessment Long Baseline Neutrino FacilityDeep Underground Neutrino Experiment (LBNFDUNE) at Fermilab, Batavia, Illinois and the...
Big, Deep, and Smart Data in Energy Materials Research: Atomic...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Big, Deep, and Smart Data in Energy Materials Research: Atomic View on Materials Functionalities Event Sponsor: Computing, Environment, and Life Sciences Seminar Start Date: Sep 22...
DISCOVERY AND CHARACTERIZATION OF AN EXTREMELY DEEP-ECLIPSING...
Office of Scientific and Technical Information (OSTI)
DISCOVERY AND CHARACTERIZATION OF AN EXTREMELY DEEP-ECLIPSING CATACLYSMIC VARIABLE: LSQ172554.8-643839 Citation Details In-Document Search Title: DISCOVERY AND CHARACTERIZATION OF...
Design manual for excavation support using deep mixing technology
Rutherford, Cassandra Janel
2005-02-17
by cement stabilization DJM = dry jet mixing DLM = deep lime mixing DM = deep mixing DMM = deep mixing method DSM = deep soil mixing E = modulus of deformation of soil vii EBMUD = East Bay Municipal Utility District EI = wall stiffness ESoil... = average spacing between supports H = height of wall Hc = height of clay layer Hc(design) = height of clay layer for design Hc(failure) = height of clay layer at failure Hw = height of water from bottom of excavation H1 = height from top of wall...
The geomechanics of CO2 storage in deep sedimentary formations
Rutqvist, J.
2013-01-01
The geomechanics of CO 2 storage in deep sedimentaryThis paper provides a review of the geomechanics andmodeling of geomechanics associated with geologic carbon
ULTRA-DEEP WATER ADVISORY COMMITTEE FINDINGS AND
ULTRA-DEEP WATER ADVISORY COMMITTEE FINDINGS AND RECOMMENDATIONS 2014 ULTRA-DEEPWATER ADVISORY COMMITTEE COMMITTEE FINDINGS AND RECOMMENDATIONS i Table of Contents Research and...
Whole-House Solutions Case Study: Sunnyvale Marine Climate Deep...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
floor insulation (previously lacking), replacing windows, and upgrading the heating and cooling system. Sunnyvale Marine Climate Deep Retrofit, Sunnyvale, California More...
Research Development and Demonstration Roadmap for Deep Borehole...
Office of Scientific and Technical Information (OSTI)
Development and Demonstration Roadmap for Deep Borehole Disposal. Arnold, Bill W.; MacKinnon, Robert J.; Brady, Patrick V. Abstract Not Provided Sandia National Laboratories USDOE...
Deep Bed Adsorption Testing using Silver-Functionalized Aerogel...
Office of Scientific and Technical Information (OSTI)
In-Document Search Title: Deep Bed Adsorption Testing using Silver-Functionalized Aerogel Nuclear fission results in the production of fission products and activation products,...
AAO support observations for the Hubble Deep Field Sout
B. J. Boyle
1998-04-09
We present proposed ground-based support observations at the AAO for the forthcoming Hubble Deep Field South (HDF-S) campaign.
Application Of Electrical Resistivity And Gravimetry In Deep...
Application Of Electrical Resistivity And Gravimetry In Deep Geothermal Exploration Jump to: navigation, search OpenEI Reference LibraryAdd to library Journal Article: Application...
Building America Webinar: Deep Energy Retrofit Case Studies:...
& Publications Building America Webinar: Introduction - Who's Successfully Doing Deep Energy Retrofits? Critical Question 8: When are Heat Pump Water Heaters the Best Solution?...
CBEI: Demonstrating On-Bill Financing to Encourage Deep Retrofits...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Financing to Encourage Deep Retrofits - 2015 Peer Review Presenter: Rudy Terry, Philadelphia Industrial Development Corp. View the Presentation CBEI: Demonstrating On-Bill...
Random Models Unit code: MATH20712
Sidorov, Nikita
MATH20712 Random Models Unit code: MATH20712 Credit Rating: 10 Unit level: Level 2 Teaching period, and renewal processes. Syllabus 1.Review of conditional probability, probability distributions, random. The probability of extinction. [6] 6.Renewal processes. The counting processes and occurrence time processes
RNG: A Practitioner's Overview Random Number Generation
Mascagni, Michael
-Kac/path integral methods to solve partial differential equations with random walks Defense: neutronics, nuclear random numbers 1. Each calculation is a numerical experiment Subject to known and unknown sources a calculation with the same numbers Across different machines (modulo arithmetic issues) Parallel
Selfattractive random polymers Remco van der Hofstad
Klenke, Achim
SelfÂattractive random polymers Remco van der Hofstad Stieltjes Institute of Mathematics Delft polymer of finite length in Zd . Its law is that of a finite simple random walk path in Zd receiving that for > the attraction dominates the repulsion, i.e., with high probability the polymer is contained in a finite box
Contagious Sets in Random Graphs Uriel Feige
Contagious Sets in Random Graphs Uriel Feige Michael Krivelevich Daniel Reichman August 10, 2014. A contagious set is a set whose activation results with the entire graph being active. Given a graph G, let m(G, 2) be the minimal size of a contagious set. We consider the binomial random graph G := G(n, p
Random Numbers Certified by Bell's Theorem
S. Pironio; A. Acin; S. Massar; A. Boyer de la Giroday; D. N. Matsukevich; P. Maunz; S. Olmschenk; D. Hayes; L. Luo; T. A. Manning; C. Monroe
2010-10-19
Randomness is a fundamental feature in nature and a valuable resource for applications ranging from cryptography and gambling to numerical simulation of physical and biological systems. Random numbers, however, are difficult to characterize mathematically, and their generation must rely on an unpredictable physical process. Inaccuracies in the theoretical modelling of such processes or failures of the devices, possibly due to adversarial attacks, limit the reliability of random number generators in ways that are difficult to control and detect. Here, inspired by earlier work on nonlocality based and device independent quantum information processing, we show that the nonlocal correlations of entangled quantum particles can be used to certify the presence of genuine randomness. It is thereby possible to design of a new type of cryptographically secure random number generator which does not require any assumption on the internal working of the devices. This strong form of randomness generation is impossible classically and possible in quantum systems only if certified by a Bell inequality violation. We carry out a proof-of-concept demonstration of this proposal in a system of two entangled atoms separated by approximately 1 meter. The observed Bell inequality violation, featuring near-perfect detection efficiency, guarantees that 42 new random numbers are generated with 99% confidence. Our results lay the groundwork for future device-independent quantum information experiments and for addressing fundamental issues raised by the intrinsic randomness of quantum theory.
Organization of growing random networks
Krapivsky, P. L.; Redner, S.
2001-06-01
The organizational development of growing random networks is investigated. These growing networks are built by adding nodes successively, and linking each to an earlier node of degree k with an attachment probability A{sub k}. When A{sub k} grows more slowly than linearly with k, the number of nodes with k links, N{sub k}(t), decays faster than a power law in k, while for A{sub k} growing faster than linearly in k, a single node emerges which connects to nearly all other nodes. When A{sub k} is asymptotically linear, N{sub k}(t){similar_to}tk{sup {minus}{nu}}, with {nu} dependent on details of the attachment probability, but in the range 2{lt}{nu}{lt}{infinity}. The combined age and degree distribution of nodes shows that old nodes typically have a large degree. There is also a significant correlation in the degrees of neighboring nodes, so that nodes of similar degree are more likely to be connected. The size distributions of the in and out components of the network with respect to a given node{emdash}namely, its {open_quotes}descendants{close_quotes} and {open_quotes}ancestors{close_quotes}{emdash}are also determined. The in component exhibits a robust s{sup {minus}2} power-law tail, where s is the component size. The out component has a typical size of order lnt, and it provides basic insights into the genealogy of the network.
Rhode Island, University of
OS45G-07SHALLOW AND DEEP CURRENT VARIABILITY IN THE KUROSHIO EXTENSIONSHALLOW AND DEEP CURRENT VARIABILITY IN THE KUROSHIO EXTENSIONSHALLOW AND DEEP CURRENT VARIABILITY IN THE KUROSHIO EXTENSION Karen L by measured deep currents. Bottom pressures are leveled using time-mean near-bottom currents. Upper
Deep learning and the renormalization group
Cédric Bény
2013-03-13
Renormalization group (RG) methods, which model the way in which the effective behavior of a system depends on the scale at which it is observed, are key to modern condensed-matter theory and particle physics. We compare the ideas behind the RG on the one hand and deep machine learning on the other, where depth and scale play a similar role. In order to illustrate this connection, we review a recent numerical method based on the RG---the multiscale entanglement renormalization ansatz (MERA)---and show how it can be converted into a learning algorithm based on a generative hierarchical Bayesian network model. Under the assumption---common in physics---that the distribution to be learned is fully characterized by local correlations, this algorithm involves only explicit evaluation of probabilities, hence doing away with sampling.
Behavior of modulated wavetrains in deep water
Fedele, Francesco
2013-01-01
Long-time evolution of a weakly perturbed wavetrain near the modulational instability threshold is investigated within the framework of the compact Zakharov equation for unidirectional deep-water waves, recently derived by Zakharov & Dyachenko (2011). Multiple-scale solutions reveal that a perturbation to a slightly unstable uniform wavetrain of steepness \\mu slowly evolves according to a Nonlinear Schrodinger equation. In particular, for small carrier wave steepness \\mu\\mu_1, predictions seem to foreshadow a dynamical trend to wave breaking. In particular, the perturbation dynamics becomes of defocussing type, and nonlinearities tend to stabilize a linearly unstable wavetrain as Fermi-Pasta-Ulam recurrence is suppressed. At \\mu=\\mu_c~0.577, subharmonic perturbations restabilize and superharmonic instability appears, possibly indicating that wave dynamic behavior changes at large steepness, in qualitative agreement with the numerical simulations of Longuet-Higgins and Cokelet (1978) for steep waves. Indee...
Understanding galaxy formation with ISO deep surveys
David Elbaz
2005-03-17
We present the results obtained through the various ISO extragalactic deep surveys. While IRAS revealed the existence of galaxies forming stars at a rate of a few tens (LIRGs) or even hundreds (ULIRGs) solar masses in the local universe, ISO not only discovered that these galaxies were already in place at redshift one, but also that they are not the extreme objects that we once believed them to be. Instead they appear to play a dominant role in shaping present-day galaxies as reflected by their role in the cosmic history of star formation and in producing the cosmic infrared background detected by the COBE satellite in the far infrared to sub-millimeter range.
Approximate Stokes Drift Profiles in Deep Water
Breivik, Øyvind; Bidlot, Jean-Raymond
2014-01-01
A deep-water approximation to the Stokes drift velocity profile is explored as an alternative to the monochromatic profile. The alternative profile investigated relies on the same two quantities required for the monochromatic profile, viz the Stokes transport and the surface Stokes drift velocity. Comparisons with parametric spectra and profiles under wave spectra from the ERA-Interim reanalysis and buoy observations reveal much better agreement than the monochromatic profile even for complex sea states. That the profile gives a closer match and a more correct shear has implications for ocean circulation models since the Coriolis-Stokes force depends on the magnitude and direction of the Stokes drift profile and Langmuir turbulence parameterizations depend sensitively on the shear of the profile. The alternative profile comes at no added numerical cost compared to the monochromatic profile.
Tangyunyong, Paiboon; Miller, Mary A.; Cole, Edward Isaac, Jr.
2012-03-01
We present the results of a two-year early career LDRD that focused on defect localization in deep green and deep ultraviolet (UV) light-emitting diodes (LEDs). We describe the laser-based techniques (TIVA/LIVA) used to localize the defects and interpret data acquired. We also describe a defect screening method based on a quick electrical measurement to determine whether defects should be present in the LEDs. We then describe the stress conditions that caused the devices to fail and how the TIVA/LIVA techniques were used to monitor the defect signals as the devices degraded and failed. We also describe the correlation between the initial defects and final degraded or failed state of the devices. Finally we show characterization results of the devices in the failed conditions and present preliminary theories as to why the devices failed for both the InGaN (green) and AlGaN (UV) LEDs.
Deep convection in the Irminger Sea forced by the Greenland tip jet
Deep convection in the Irminger Sea forced by the Greenland tip jet Robert S. Pickart*, Michael A ........................................................................................................................................................................................................................... Open-ocean deep convection, one of the processes by which deep waters of the world's oceans are formed, the southwest Irminger Sea has been suggested as an additional location for open-ocean deep convection. The deep
FULL ARTICLE Bond-selective imaging of deep tissue
Cheng, Ji-Xin
FULL ARTICLE Bond-selective imaging of deep tissue through the optical window between 1600 and 1850 of Biomedical Engineering, Purdue University, West Lafayette, IN 47907, USA 2 Department of Cellular 2011, accepted 12 November 2011 Published online 29 November 2011 Key words: optical window, deep
Deep Fuelling of Large+ Tokamaks by FRC Injection
Washington at Seattle, University of
Deep Fuelling of Large+ Tokamaks by FRC Injection J. Grossnickle, D. Lotz, & G. Vlases University It is generally agreed that Next Step Tokamaks will require deep fuelling to replenish burned fuel while maintaining high central densities, and possibly for density profile control for Advanced Tokamak scenarios
Deep Vadose Zone Applied Field Research Initiative (DVZ AFRI) - Overview
2011-02-01
The Deep Vadoze Zone Applied Field Research Initiative (DVZ AFRI) was established to protect water resources and to address the challenge of preventing contamination in the deep vadose zone from reaching groundwater. This factsheet provides an overview of the initiative and the approach to integrate basic science and needs-driven applied research activities with cleanup operations.
ORNL 'deep retrofits' can cut home energy bills in half
Pennycook, Steve
of the costs--about $10 per square foot of living space--and agree to allow their post-retrofit energyORNL 'deep retrofits' can cut home energy bills in half November 25, 2009 ORNL's Jeff Christian Ridge National Laboratory has announced plans to conduct a series of deep energy retrofit research
Focused Crawling of the Deep Web Using Service Class Descriptions
Rocco, D; Liu, L; Critchlow, T
2004-06-21
Dynamic Web data sources--sometimes known collectively as the Deep Web--increase the utility of the Web by providing intuitive access to data repositories anywhere that Web access is available. Deep Web services provide access to real-time information, like entertainment event listings, or present a Web interface to large databases or other data repositories. Recent studies suggest that the size and growth rate of the dynamic Web greatly exceed that of the static Web, yet dynamic content is often ignored by existing search engine indexers owing to the technical challenges that arise when attempting to search the Deep Web. To address these challenges, we present DynaBot, a service-centric crawler for discovering and clustering Deep Web sources offering dynamic content. DynaBot has three unique characteristics. First, DynaBot utilizes a service class model of the Web implemented through the construction of service class descriptions (SCDs). Second, DynaBot employs a modular, self-tuning system architecture for focused crawling of the DeepWeb using service class descriptions. Third, DynaBot incorporates methods and algorithms for efficient probing of the Deep Web and for discovering and clustering Deep Web sources and services through SCD-based service matching analysis. Our experimental results demonstrate the effectiveness of the service class discovery, probing, and matching algorithms and suggest techniques for efficiently managing service discovery in the face of the immense scale of the Deep Web.
WATER-IMMERSION DEEP-SUBWAVELENGTH SURFACE PLASMON VIRTUAL PROBES
Zheludev, Nikolay
WATER-IMMERSION DEEP-SUBWAVELENGTH SURFACE PLASMON VIRTUAL PROBES QIAN WANG Optoelectronics in water by using near- ¯eld scanning optical microscope. The full-width half-maximum of the probe is as small as 0=5:5. Such deep-subwavelength sized plasmonic virtual probe may lead to many potential
Deep Learning Helicopter Dynamics Models Ali Punjani and Pieter Abbeel
Abbeel, Pieter
Deep Learning Helicopter Dynamics Models Ali Punjani and Pieter Abbeel Abstract-- We consider the problem of system identification of helicopter dynamics. Helicopters are complex systems, cou- pling rigid inspiration from recent results in Deep Learning to represent the helicopter dynamics with a Rectified Linear
CONTAINERIZATION AND RELATED TRENDS AT TEXAS DEEP WATER PORTS
Texas at Austin, University of
0-5538-P2 CONTAINERIZATION AND RELATED TRENDS AT TEXAS DEEP WATER PORTS Robert Harrison Nathan. At present, four Texas deep-water ports rank in the top 10 U.S water ports by shipment weight) that the value of U.S international merchandise trade (exports and imports) by mode was water (43.5%), followed
Standing Waves On An Infinitely Deep Perfect Fluid Under Gravity
Iooss, Gérard
Standing Waves On An Infinitely Deep Perfect Fluid Under Gravity G. Iooss P. I. Plotnikov J. F. Toland Abstract The existence of two-dimensional standing waves on the surface of an infinitely deep the existence of a set of unimodal standing waves on flows of infinite depth, corresponding to a set of values
Workshop to develop deep-life continental scientific drilling projects
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Kieft, T. L.; Onstott, T. C.; Ahonen, L.; Aloisi, V.; Colwell, F. S.; Engelen, B.; Fendrihan, S.; Gaidos, E.; Harms, U.; Head, I.; et al
2015-05-29
The International Continental Scientific Drilling Program (ICDP) has long espoused studies of deep subsurface life, and has targeted fundamental questions regarding subsurface life, including the following: "(1) What is the extent and diversity of deep microbial life and what are the factors limiting it? (2) What are the types of metabolism/carbon/energy sources and the rates of subsurface activity? (3) How is deep microbial life adapted to subsurface conditions? (4) How do subsurface microbial communities affect energy resources? And (5) how does the deep biosphere interact with the geosphere and atmosphere?" (Horsfield et al., 2014) Many ICDP-sponsored drilling projects have includedmore »a deep-life component; however, to date, not one project has been driven by deep-life goals, in part because geomicrobiologists have been slow to initiate deep biosphere-driven ICDP projects. Therefore, the Deep Carbon Observatory (DCO) recently partnered with the ICDP to sponsor a workshop with the specific aim of gathering potential proponents for deep-life-driven ICDP projects and ideas for candidate drilling sites. Twenty-two participants from nine countries proposed projects and sites that included compressional and extensional tectonic environments, evaporites, hydrocarbon-rich shales, flood basalts, Precambrian shield rocks, subglacial and subpermafrost environments, active volcano–tectonic systems, megafan deltas, and serpentinizing ultramafic environments. The criteria and requirements for successful ICDP applications were presented. Deep-life-specific technical requirements were discussed and it was concluded that, while these procedures require adequate planning, they are entirely compatible with the sampling needs of other disciplines. As a result of this workshop, one drilling workshop proposal on the Basin and Range Physiographic Province (BRPP) has been submitted to the ICDP, and several other drilling project proponents plan to submit proposals for ICDP-sponsored drilling workshops in 2016.« less
Workshop to develop deep-life continental scientific drilling projects
Kieft, T. L.; Onstott, T. C.; Ahonen, L.; Aloisi, V.; Colwell, F. S.; Engelen, B.; Fendrihan, S.; Gaidos, E.; Harms, U.; Head, I.; Kallmeyer, J.; Kiel Reese, B.; Lin, L.-H.; Long, P. E.; Moser, D. P.; Mills, H.; Sar, P.; Schulze-Makuch, D.; Stan-Lotter, H.; Wagner, D.; Wang, P.-L.; Westall, F.; Wilkins, M. J.
2015-05-29
The International Continental Scientific Drilling Program (ICDP) has long espoused studies of deep subsurface life, and has targeted fundamental questions regarding subsurface life, including the following: "(1) What is the extent and diversity of deep microbial life and what are the factors limiting it? (2) What are the types of metabolism/carbon/energy sources and the rates of subsurface activity? (3) How is deep microbial life adapted to subsurface conditions? (4) How do subsurface microbial communities affect energy resources? And (5) how does the deep biosphere interact with the geosphere and atmosphere?" (Horsfield et al., 2014) Many ICDP-sponsored drilling projects have included a deep-life component; however, to date, not one project has been driven by deep-life goals, in part because geomicrobiologists have been slow to initiate deep biosphere-driven ICDP projects. Therefore, the Deep Carbon Observatory (DCO) recently partnered with the ICDP to sponsor a workshop with the specific aim of gathering potential proponents for deep-life-driven ICDP projects and ideas for candidate drilling sites. Twenty-two participants from nine countries proposed projects and sites that included compressional and extensional tectonic environments, evaporites, hydrocarbon-rich shales, flood basalts, Precambrian shield rocks, subglacial and subpermafrost environments, active volcano–tectonic systems, megafan deltas, and serpentinizing ultramafic environments. The criteria and requirements for successful ICDP applications were presented. Deep-life-specific technical requirements were discussed and it was concluded that, while these procedures require adequate planning, they are entirely compatible with the sampling needs of other disciplines. As a result of this workshop, one drilling workshop proposal on the Basin and Range Physiographic Province (BRPP) has been submitted to the ICDP, and several other drilling project proponents plan to submit proposals for ICDP-sponsored drilling workshops in 2016.
Gilbes, Fernando
AND DEEP CORAL REEFSIMAGING SHALLOW AND DEEP CORAL REEFS Fernando Gilbes,Fernando Gilbes, Roy Armstrong to separate complex subsurface signals. This multi-university Engineering Research Center aims in oligotrophic waters), which defines a practical limit for effective airborne and satellite remote sensing, we
Deep-sea bioturbation and the role of the sea urchin Echinocrepis rostrata
Vardaro, Michael F.
2008-01-01
by a long-term time-lapse camera in the deep North Pacific.Deep-Sea Research I. 54(8): 1231-1240. Vardaro, M.F. ,time-lapse camera in the deep North Pacific. ASLO Aquatic
DEEP LEVEL TRANSIENT SPECTROSCOPY OF HIGH-PURITY GERMANIUM DIODES/DETECTORS
Haller, E.E.
2011-01-01
1978 LBL,-3140"'/ c-. cr DEEP LEVEL TRANSIENT SPECTROSCOPY.are changing the charge state of deep traps. A minority trapenergy and concentration of deep traps in high-purity Ge, it
Deep low-frequency tremor that correlates with passing surface waves
Miyazawa, Masatoshi; Brodsky, Emily E.
2008-01-01
Beroza (2007a), Mechanism of deep low frequency earthquakes:Further evidence that deep non-volcanic tremor is generatedH. Hirose (2006), Non-volcanic deep low-frequency tremors
2009-03-18
Basics of Random Walk – 2. 0. 5. 10. 15. 20. 25. 30. 35. 40. 45. 50. ?5. ?4. ?3. ?2. ?1. 0 ..... Back to Parrondo's Paradox. Playing Game A. . winning prob = 0.495.
Supply Chain Supernetworks With Random Demands
Nagurney, Anna
Supply Chain Supernetworks With Random Demands June Dong Ding Zhang School of Business State Field Warehouses: stocking points Customers, demand centers sinks Production/ purchase costs Inventory Customer Demand Customer Demand Retailer OrdersRetailer Orders Distributor OrdersDistributor Orders
High speed optical quantum random number generation
Weinfurter, Harald
High speed optical quantum random number generation Martin F¨urst1,2,, Henning Weier1,2, Sebastian/publicationFile/30276/ais20 pdf.pdf (1999). 2. "Fips 140-2, security requirements for cryptographic modules
Electromagnetic wave propagation in random waveguides
Ricardo Alonso; Liliana Borcea
2013-10-18
We study long range propagation of electromagnetic waves in random waveguides with rectangular cross-section and perfectly conducting boundaries. The waveguide is filled with an isotropic linear dielectric material, with randomly fluctuating electric permittivity. The fluctuations are weak, but they cause significant cumulative scattering over long distances of propagation of the waves. We decompose the wave field in propagating and evanescent transverse electric and magnetic modes with random amplitudes that encode the cumulative scattering effects. They satisfy a coupled system of stochastic differential equations driven by the random fluctuations of the electric permittivity. We analyze the solution of this system with the diffusion approximation theorem, under the assumption that the fluctuations decorrelate rapidly in the range direction. The result is a detailed characterization of the transport of energy in the waveguide, the loss of coherence of the modes and the depolarization of the waves due to cumulative scattering.
Chaotic generation of pseudo-random numbers
Dornbusch, Andrew Wesley
1999-01-01
Generation of repeatable pseudo-random sequences with chaotic analog electronics is not feasible using standard circuit topologies. Component variation caused by imperfect fabrication causes the same divergence of output ...
Fast generation of sparse random kernel graphs
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Hagberg, Aric; Lemons, Nathan; Du, Wen -Bo
2015-09-10
The development of kernel-based inhomogeneous random graphs has provided models that are flexible enough to capture many observed characteristics of real networks, and that are also mathematically tractable. We specify a class of inhomogeneous random graph models, called random kernel graphs, that produces sparse graphs with tunable graph properties, and we develop an efficient generation algorithm to sample random instances from this model. As real-world networks are usually large, it is essential that the run-time of generation algorithms scales better than quadratically in the number of vertices n. We show that for many practical kernels our algorithm runs in timemore »at most ?(n(logn)²). As an example, we show how to generate samples of power-law degree distribution graphs with tunable assortativity.« less
Beta dose distribution for randomly packed microspheres
Urashkin, Alexander
2007-04-25
of radiation dose distribution when utilizing this technique. This study focuses on random packing of microspheres and seeks to determine dose distributions for specific cases. The Monte Carlo Neutral Particle code (MCNP) developed by Los Alamos National...
Random Walks for Mesh Denoising Xianfang Sun
Martin, Ralph R.
Random Walks for Mesh Denoising Xianfang Sun Cardiff University, UK Beihang University, China Paul noise-free po- sitions. Generally, the vertex positions are the primary measured e-mail: Xianfang.Sun
QCD, Symmetry Breaking and the Random Lattice
Saul D. Cohen
2006-02-15
According to the Nielsen-Ninomiya No-Go theorem, the doubling of fermions on the lattice cannot be suppressed in a chiral theory. Whereas Wilson and staggered fermions suppress doublers with explicit breaking of chiral symmetry, the random lattice does so by spontaneous chiral symmetry breaking even in the free theory. I present results for meson masses, the chiral condensate and fermionic eigenvalues from simulations of quenched QCD on random lattices in four dimensions, focusing on chiral symmetry breaking.
Random matrix ensembles associated with Lax matrices
E. Bogomolny; O. Giraud; C. Schmit
2009-04-30
A method to generate new classes of random matrix ensembles is proposed. Random matrices from these ensembles are Lax matrices of classically integrable systems with a certain distribution of momenta and coordinates. The existence of an integrable structure permits to calculate the joint distribution of eigenvalues for these matrices analytically. Spectral statistics of these ensembles are quite unusual and in many cases give rigorously new examples of intermediate statistics.
Modeling Deep Burn TRISO Particle Nuclear Fuel
Besmann, Theodore M [ORNL; Stoller, Roger E [ORNL; Samolyuk, German D [ORNL; Schuck, Paul C [ORNL; Rudin, Sven [Los Alamos National Laboratory (LANL); Wills, John [Los Alamos National Laboratory (LANL); Wirth, Brian D. [University of California, Berkeley; Kim, Sungtae [University of Wisconsin, Madison; Morgan, Dane [University of Wisconsin, Madison; Szlufarska, Izabela [University of Wisconsin, Madison
2012-01-01
Under the DOE Deep Burn program TRISO fuel is being investigated as a fuel form for consuming plutonium and minor actinides, and for greater efficiency in uranium utilization. The result will thus be to drive TRISO particulate fuel to very high burn-ups. In the current effort the various phenomena in the TRISO particle are being modeled using a variety of techniques. The chemical behavior is being treated utilizing thermochemical analysis to identify phase formation/transformation and chemical activities in the particle, including kernel migration. First principles calculations are being used to investigate the critical issue of fission product palladium attack on the SiC coating layer. Density functional theory is being used to understand fission product diffusion within the plutonia oxide kernel. Kinetic Monte Carlo techniques are shedding light on transport of fission products, most notably silver, through the carbon and SiC coating layers. The diffusion of fission products through an alternative coating layer, ZrC, is being assessed via DFT methods. Finally, a multiscale approach is being used to understand thermal transport, including the effect of radiation damage induced defects, in a model SiC material.
Constructing Hydraulic Barriers in Deep Geologic Formations
Carter, E.E.; Carter, P.E. [Technologies Co, Texas (United States); Cooper, D.C. [Ph.D. Idaho National Laboratory, Idaho Falls, ID (United States)
2008-07-01
Many construction methods have been developed to create hydraulic barriers to depths of 30 to 50 meters, but few have been proposed for depths on the order of 500 meters. For these deep hydraulic barriers, most methods are potentially feasible for soil but not for hard rock. In the course of researching methods of isolating large subterranean blocks of oil shale, the authors have developed a wax thermal permeation method for constructing hydraulic barriers in rock to depths of over 500 meters in competent or even fractured rock as well as soil. The technology is similar to freeze wall methods, but produces a permanent barrier; and is potentially applicable in both dry and water saturated formations. Like freeze wall barriers, the wax thermal permeation method utilizes a large number of vertical or horizontal boreholes around the perimeter to be contained. However, instead of cooling the boreholes, they are heated. After heating these boreholes, a specially formulated molten wax based grout is pumped into the boreholes where it seals fractures and also permeates radially outward to form a series of columns of wax-impregnated rock. Rows of overlapping columns can then form a durable hydraulic barrier. These barriers can also be angled above a geologic repository to help prevent influx of water due to atypical rainfall events. Applications of the technique to constructing containment structures around existing shallow waste burial sites and water shutoff for mining are also described. (authors)
Extreme slowdowns for one-dimensional excited random walks
2013-12-20
Dec 20, 2013 ... Rate of growth of a transient cookie random walk. Electron. J. Probab. ... Excited random walk. Electron. Comm. Probab., 8:86–92 (elec- tronic) ...
Stabilizing Topological Phases in Graphene via Random Adsorption...
Office of Scientific and Technical Information (OSTI)
Stabilizing Topological Phases in Graphene via Random Adsorption Prev Next Title: Stabilizing Topological Phases in Graphene via Random Adsorption Authors: Jiang, Hua ; Qiao,...
Application of Random Vibration Theory Methodology for Seismic...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Random Vibration Theory Methodology for Seismic Soil-Structure Interaction Analysis Application of Random Vibration Theory Methodology for Seismic Soil-Structure Interaction...
The Pursuit of Balance in Sequential Randomized Trials
Guiteras, Raymond P.; Levine, David I.; Polley, Thomas H.
2015-01-01
2003). “The pursuit of balance using stratified and dynamicThe Pursuit of Balance in Sequential Randomized Trials ?Mikel (2001). “Randomization, balance, and the validity and
Exploring the randomness of Directed Acyclic Networks
Joaquín Goñi; Bernat Corominas-Murtra; Ricard V. Solé; Carlos Rodríguez-Caso
2010-06-11
The feed-forward relationship naturally observed in time-dependent processes and in a diverse number of real systems -such as some food-webs and electronic and neural wiring- can be described in terms of so-called directed acyclic graphs (DAGs). An important ingredient of the analysis of such networks is a proper comparison of their observed architecture against an ensemble of randomized graphs, thereby quantifying the {\\em randomness} of the real systems with respect to suitable null models. This approximation is particularly relevant when the finite size and/or large connectivity of real systems make inadequate a comparison with the predictions obtained from the so-called {\\em configuration model}. In this paper we analyze four methods of DAG randomization as defined by the desired combination of topological invariants (directed and undirected degree sequence and component distributions) aimed to be preserved. A highly ordered DAG, called \\textit{snake}-graph and a Erd\\:os-R\\'enyi DAG were used to validate the performance of the algorithms. Finally, three real case studies, namely, the \\textit{C. elegans} cell lineage network, a PhD student-advisor network and the Milgram's citation network were analyzed using each randomization method. Results show how the interpretation of degree-degree relations in DAGs respect to their randomized ensembles depend on the topological invariants imposed. In general, real DAGs provide disordered values, lower than the expected by chance when the directedness of the links is not preserved in the randomization process. Conversely, if the direction of the links is conserved throughout the randomization process, disorder indicators are close to the obtained from the null-model ensemble, although some deviations are observed.
Mechanical and Acoustic Studies of Deep Ocean Glass Sphere Implosions
Learned, John
Mechanical and Acoustic Studies of Deep Ocean Glass Sphere Implosions P. W. Gorham, M. Rosen, J. W of the dynamics and kinematics of the events. The mechanical forces on the ancillary mooring hardware during
Visit to the Deep Underground Science and Engineering Laboratory
2009-03-31
U.S. Department of Energy scientists and administrators join members of the National Science Foundation and South Dakotas Sanford Underground Laboratory for the deepest journey yet to the proposed site of the Deep Underground Science and Engineering Laboratory (DUSEL).
Visit to the Deep Underground Science and Engineering Laboratory
2009-01-01
U.S. Department of Energy scientists and administrators join members of the National Science Foundation and South Dakotas Sanford Underground Laboratory for the deepest journey yet to the proposed site of the Deep Underground Science and Engineering Laboratory (DUSEL).
Application Of Gravity And Deep Dipole Geoelectrics In The Volcanic...
Application Of Gravity And Deep Dipole Geoelectrics In The Volcanic Area Of Mt Etna (Sicily) Jump to: navigation, search OpenEI Reference LibraryAdd to library Journal Article:...
Deep Frames, White Men's Discourse, and Black Female Bodies
Slatton, Brittany C.
2012-02-14
the bounds of hegemonic femininity, beauty, sexuality, and womanhood. Using the theoretical concept deep frame, which is the "conceptual infrastructure of the mind" (Lakoff 2006a:12) and representative of one's commonsense world view, I argue that the ways...
Evolutionary and ecological genomics in deep-sea organisms
Herrera Monroy, Santiago
2015-01-01
Hydrothermal vents and coral ecosystems are conspicuous biological hot spots in the deep-sea. These ecosystems face increasing threats from human activities. Having thorough taxonomic inventories as well as understanding ...
Optimal digital system design in deep submicron technology
Heo, Seongmoo, 1977-
2006-01-01
The optimization of a digital system in deep submicron technology should be done with two basic principles: energy waste reduction and energy-delay tradeoff. Increased energy resources obtained through energy waste reduction ...
Carmichael's Concise Review Microscopy is Only Skin Deep
Heller, Eric
Carmichael's Concise Review Microscopy is Only Skin Deep Stephen W. Carmichael Mayo Clinic. Coming Events 2011 EMAS 2011 May 1519, 2011 Angers, France www.emas-web.net IUMAS-V May 2227, 2011
Deep cuts in household greenhouse gas emissions Andrew Blakers
Deep cuts in household greenhouse gas emissions Andrew Blakers Director, Centre for Sustainable Energy Systems Australian National University Ph 61 2 6125 5905 Andrew.blakers@anu.edu.au Web: http
Canister design for deep borehole disposal of nuclear waste
Hoag, Christopher Ian
2006-01-01
The objective of this thesis was to design a canister for the disposal of spent nuclear fuel and other high-level waste in deep borehole repositories using currently available and proven oil, gas, and geothermal drilling ...
Minor actinide waste disposal in deep geological boreholes
Sizer, Calvin Gregory
2006-01-01
The purpose of this investigation was to evaluate a waste canister design suitable for the disposal of vitrified minor actinide waste in deep geological boreholes using conventional oil/gas/geothermal drilling technology. ...
Trends and Future Challenges in Sampling the Deep Terrestrial Biosphere
Wilkins, Michael J.; Daly, Rebecca; Mouser, Paula J.; Trexler, Ryan; Sharma, Shihka; Cole, David R.; Wrighton, Kelly C.; Biddle , Jennifer F.; Denis, Elizabeth; Fredrickson, Jim K.; Kieft, Thomas L.; Onstott, T. C.; Peterson, Lee; Pfiffner, Susan M.; Phelps, Tommy J.; Schrenk, Matthew O.
2014-09-12
Research in the deep terrestrial biosphere is driven by interest in novel biodiversity and metabolisms, biogeochemical cycling, and the impact of human activities on this ecosystem. As this interest continues to grow, it is important to ensure that when subsurface investigations are proposed, materials recovered from the subsurface are sampled and preserved in an appropriate manner to limit contamination and ensure preservation of accurate microbial, geochemical, and mineralogical signatures. On February 20th, 2014, a workshop on “Trends and Future Challenges in Sampling The Deep Subsurface” was coordinated in Columbus, Ohio by The Ohio State University and West Virginia University faculty, and sponsored by The Ohio State University and the Sloan Foundation’s Deep Carbon Observatory. The workshop aims were to identify and develop best practices for the collection, preservation, and analysis of terrestrial deep rock samples. This document summarizes the information shared during this workshop.
Nitrogen is a deep acceptor in ZnO
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Tarun, M. C.; Iqbal, M. Zafar; McCluskey, M. D.
2011-04-14
Zinc oxide is a promising material for blue and UV solid-state lighting devices, among other applications. Nitrogen has been regarded as a potential p-type dopant for ZnO. However, recent calculations indicate that nitrogen is a deep acceptor. This paper presents experimental evidence that nitrogen is, in fact, a deep acceptor and therefore cannot produce p-type ZnO. A broad photoluminescence (PL) emission band near 1.7 eV, with an excitation onset of ~2.2 eV, was observed, in agreement with the deep-acceptor model of the nitrogen defect. Thus the deep-acceptor behavior can be explained by the low energy of the ZnO valence bandmore »relative to the vacuum level.« less
2012. 1 101 Cognitive Computing III: Deep Dynamic Prediction -
,4] . , . . . , . [5,6]. Marr 3 [7]. : ? ? ? / : ? ? : ? ? II #12 Bayesian Brain Models Physical Computing Models Marr 3 (rule- based systems, connectionist networks Computing III: Deep Dynamic Prediction - 2.4 Dynamic System Models . Marr 3
Deep Water Drilling to Catalyze the Global Drilling Fluids Market...
Deep Water Drilling to Catalyze the Global Drilling Fluids Market Home > Groups > Renewable Energy RFPs John55364's picture Submitted by John55364(100) Contributor 13 May, 2015 -...
Deep ocean clay crusts: behaviour and biological origin
Kuo, Matthew Yih-Han
2011-03-15
sliding resistance by minimising the risk of pellet crushing. This thesis proposes that wet sieving of core samples should be undertaken during the site investigations for future deep-water, hot-oil pipeline installations to provide design information...
A new deep sea species of Paramphinome (Polychaeta: Amphinomidae) from
Paiva, Paulo Cesar de
made by PETROBRAS (Brazilian Petroleum Company) under the scope of the project `Campos Basin Deep-sea Environmental Project' coordinated by CENPES/PETROBRAS. Sediment samples were collected using a box
A drop-in-concept for deep borehole canister emplacement
Bates, Ethan Allen
2011-01-01
Disposal of high-level nuclear waste in deep boreholes drilled into crystalline bedrock (i.e., "granite") is an interesting repository alternative of long standing. Work at MIT over the past two decades, and more recently ...
Effect of deep excavation on an adjacent pile foundation
Iliadelis, Dimitrios
2006-01-01
The thesis studies the behavior of single axially loaded pile located close to a 30m deep braced excavation in Marine Clay corresponding to site conditions of the Kallang formation in Singapore. Parametric analyses were ...
A remedial approach to stabilize a deep excavation in Singapore
Ferrari, Alessia Alexandra
2007-01-01
Ground improvement methods are commonly adopted in deep excavation to minimize wall deflection, wall bending moment and strut force. In this thesis a different approach to the application of ground improvement techniques ...
Visit to the Deep Underground Science and Engineering Laboratory
None
2010-01-08
U.S. Department of Energy scientists and administrators join members of the National Science Foundation and South Dakotas Sanford Underground Laboratory for the deepest journey yet to the proposed site of the Deep Underground Science and Engineering Laboratory (DUSEL).
Diagenesis within the deep Tuscaloosa formation, Profit Island field, Louisiana
Hudder, Karen Ann Gilchrist
1982-01-01
The lower Tuscaloosa Formation of south-central Louisiana is a prolific and highly potential deep gas reservoir. Of particular interest are the unusually high porosity and permeability values for the age, depth, and temperature of the rocks. In the Profit... hydrocarbon accumulation and production in reservoirs, particularly from such unusually porous and permeable rocks. THE TUSCALOOSA TREND Regional Setting The deep Tuscaloosa trend encompasses an area of south-central Louisiana measuring approximately 200...
Morphology and seismic stratigraphy of the Toyama deep sea fan
Shepherd, David Barton
1990-01-01
with a surface area greater than 108, 000 square kilometers. Deposits of this Quaternary turbidite system range in thickness from less than 150 m to more than 750 m. The meandering Toyama Deep Sea Channel extends northward from the central coast.... The Toyama Deep Sea Channel is a remarkable feature, extending 550 km in a northerly direction from the central coast of Honshu. Seismic and bathymetry data collected over the past two decades are used to provide the most accurate description to date...
Extremely red galaxies in the Phoenix Deep Survey
A. M. Hopkins; J. Afonso; A. Georgakakis; M. Sullivan; B. Mobasher; L. E. Cram
2003-09-04
The Phoenix Deep Survey (PDS) is a multiwavelength survey based on deep 1.4 GHz radio observations used to identify a large sample of star forming galaxies to z=1. Here we present an exploration of the evolutionary constraints on the star-forming population imposed by the 1.4 GHz source counts, followed by an analysis of the average properties of extremely red galaxies in the PDS, by using the "stacking" technique.
Random Surfers on a Web Encyclopedia
Geigl, Florian; Hofmann-Wellenhof, Rainer; Walk, Simon; Strohmaier, Markus; Helic, Denis
2015-01-01
The random surfer model is a frequently used model for simulating user navigation behavior on the Web. Various algorithms, such as PageRank, are based on the assumption that the model represents a good approximation of users browsing a website. However, the way users browse the Web has been drastically altered over the last decade due to the rise of search engines. Hence, new adaptations for the established random surfer model might be required, which better capture and simulate this change in navigation behavior. In this article we compare the classical uniform random surfer to empirical navigation and page access data in a Web Encyclopedia. Our high level contributions are (i) a comparison of stationary distributions of different types of the random surfer to quantify the similarities and differences between those models as well as (ii) new insights into the impact of search engines on traditional user navigation. Our results suggest that the behavior of the random surfer is almost similar to those of users...
Parameterizing deep convection using the assumed probability density function method
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Storer, R. L.; Griffin, B. M.; Höft, J.; Weber, J. K.; Raut, E.; Larson, V. E.; Wang, M.; Rasch, P. J.
2015-01-06
Due to their coarse horizontal resolution, present-day climate models must parameterize deep convection. This paper presents single-column simulations of deep convection using a probability density function (PDF) parameterization. The PDF parameterization predicts the PDF of subgrid variability of turbulence, clouds, and hydrometeors. That variability is interfaced to a prognostic microphysics scheme using a Monte Carlo sampling method. The PDF parameterization is used to simulate tropical deep convection, the transition from shallow to deep convection over land, and midlatitude deep convection. These parameterized single-column simulations are compared with 3-D reference simulations. The agreement is satisfactory except when the convective forcingmore »is weak. The same PDF parameterization is also used to simulate shallow cumulus and stratocumulus layers. The PDF method is sufficiently general to adequately simulate these five deep, shallow, and stratiform cloud cases with a single equation set. This raises hopes that it may be possible in the future, with further refinements at coarse time step and grid spacing, to parameterize all cloud types in a large-scale model in a unified way.« less
Parameterizing deep convection using the assumed probability density function method
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Storer, R. L.; Griffin, B. M.; Höft, J.; Weber, J. K.; Raut, E.; Larson, V. E.; Wang, M.; Rasch, P. J.
2015-01-06
Due to their coarse horizontal resolution, present-day climate models must parameterize deep convection. This paper presents single-column simulations of deep convection using a probability density function (PDF) parameterization. The PDF parameterization predicts the PDF of subgrid variability of turbulence, clouds, and hydrometeors. That variability is interfaced to a prognostic microphysics scheme using a Monte Carlo sampling method.The PDF parameterization is used to simulate tropical deep convection, the transition from shallow to deep convection over land, and midlatitude deep convection. These parameterized single-column simulations are compared with 3-D reference simulations. The agreement is satisfactory except when the convective forcing is weak.more »The same PDF parameterization is also used to simulate shallow cumulus and stratocumulus layers. The PDF method is sufficiently general to adequately simulate these five deep, shallow, and stratiform cloud cases with a single equation set. This raises hopes that it may be possible in the future, with further refinements at coarse time step and grid spacing, to parameterize all cloud types in a large-scale model in a unified way.« less
Parameterizing deep convection using the assumed probability density function method
Storer, R. L. [Univ. of Wisconsin - Milwaukee, Milwaukee, WI (United States); Griffin, B. M. [Univ. of Wisconsin - Milwaukee, Milwaukee, WI (United States); Höft, J. [Univ. of Wisconsin - Milwaukee, Milwaukee, WI (United States); Weber, J. K. [Univ. of Wisconsin - Milwaukee, Milwaukee, WI (United States); Raut, E. [Univ. of Wisconsin - Milwaukee, Milwaukee, WI (United States); Larson, V. E. [Univ. of Wisconsin - Milwaukee, Milwaukee, WI (United States); Wang, M. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States)] (ORCID:000000029179228X); Rasch, P. J. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
2015-01-01
Due to their coarse horizontal resolution, present-day climate models must parameterize deep convection. This paper presents single-column simulations of deep convection using a probability density function (PDF) parameterization. The PDF parameterization predicts the PDF of subgrid variability of turbulence, clouds, and hydrometeors. That variability is interfaced to a prognostic microphysics scheme using a Monte Carlo sampling method.The PDF parameterization is used to simulate tropical deep convection, the transition from shallow to deep convection over land, and midlatitude deep convection. These parameterized single-column simulations are compared with 3-D reference simulations. The agreement is satisfactory except when the convective forcing is weak. The same PDF parameterization is also used to simulate shallow cumulus and stratocumulus layers. The PDF method is sufficiently general to adequately simulate these five deep, shallow, and stratiform cloud cases with a single equation set. This raises hopes that it may be possible in the future, with further refinements at coarse time step and grid spacing, to parameterize all cloud types in a large-scale model in a unified way.
A model and architecture for pseudo-random generation with applications to /dev/random
International Association for Cryptologic Research (IACR)
A model and architecture for pseudo-random generation with applications to /dev/random Boaz Barak@alum.mit.edu September 1, 2005 Abstract We present a formal model and a simple architecture for robust pseudorandom's entropy source. Our model and architecture have the following properties: Â· Resilience. The generator
Mott law as lower bound for a random walk in a random environment
, Germany 2 Institut fË?ur Mathematik, Technische UniversitË?at Berlin, 10623 Berlin, Germany 3 Fachbereich Physik, UniversitË?at DuisburgÂEssen, 45117 Essen, Germany July 21, 2004 Abstract We consider a random. Furthermore the point process is furnished with independent random bounded energy marks. The transition rates
Long wave expansions for water waves over random topography
Craig, Walter
Long wave expansions for water waves over random topography Anne de Bouard1 , Walter Craig2 interacting with the random bottom. We show that the resulting influence of the random topography is expressed numbers: 76B15, 35Q53, 76M50, 60F17 Keywords :Water waves, random topography, long wave asymptotics #12
DETECTING TAMPERING IN A RANDOM HYPERCUBE ROSS G. PINSKY
Pinsky, Ross
DETECTING TAMPERING IN A RANDOM HYPERCUBE ROSS G. PINSKY Abstract. Consider the random hypercube Hn the following two ways of tampering with the random graph Hn 2 (pn): (i) choose a diameter path at random these tamperings are detectable asymptotically as n . 1. Introduction and Statement of Results Let Hn 2 = (Vn, en
Random field models for hydraulic conductivity in ground water flow
Meerschaert, Mark M.
Random field models for hydraulic conductivity in ground water flow Special Session on Random random fields to interpolate sparse data on hydraulic conductivity. The result- ing random field is used and Probability, Michigan State U Hans-Peter Scheffler, Mathematics, Uni Siegen, Germany Remke Van Dam, Institute
Diffusion in randomly perturbed dissipative dynamics
Christian S. Rodrigues; Aleksei V. Chechkin; Alessandro P. S. de Moura; Celso Grebogi; Rainer Klages
2014-11-13
Dynamical systems having many coexisting attractors present interesting properties from both fundamental theoretical and modelling points of view. When such dynamics is under bounded random perturbations, the basins of attraction are no longer invariant and there is the possibility of transport among them. Here we introduce a basic theoretical setting which enables us to study this hopping process from the perspective of anomalous transport using the concept of a random dynamical system with holes. We apply it to a simple model by investigating the role of hyperbolicity for the transport among basins. We show numerically that our system exhibits non-Gaussian position distributions, power-law escape times, and subdiffusion. Our simulation results are reproduced consistently from stochastic Continuous Time Random Walk theory.
Steering random walks with kicked ultracold atoms
Marcel Weiß; Caspar Groiseau; W. K. Lam; Raffaella Burioni; Alessandro Vezzani; Gil S. Summy; Sandro Wimberger
2015-06-27
A kicking sequence of the atom optics kicked rotor at quantum resonance can be interpreted as a quantum random walk in momentum space. We show how to steer such a random walk by applying a random sequence of intensities and phases of the kicking lattice chosen according to a probability distribution. This distribution converts on average into the final momentum distribution of the kicked atoms. In particular, it is shown that a power-law distribution for the kicking strengths results in a L\\'evy walk in momentum space and in a power-law with the same exponent in the averaged momentum distribution. Furthermore, we investigate the stability of our predictions in the context of a realistic experiment with Bose-Einstein condensates.
Steering random walks with kicked ultracold atoms
Weiß, Marcel; Lam, W K; Burioni, Raffaella; Vezzani, Alessandro; Summy, Gil S; Wimberger, Sandro
2015-01-01
A kicking sequence of the atom optics kicked rotor at quantum resonance can be interpreted as a quantum random walk in momentum space. We show how to steer such a random walk by applying a random sequence of intensities and phases of the kicking lattice chosen according to a probability distribution. This distribution converts on average into the final momentum distribution of the kicked atoms. In particular, it is shown that a power-law distribution for the kicking strengths results in a L\\'evy walk in momentum space and in a power-law with the same exponent in the averaged momentum distribution. Furthermore, we investigate the stability of our predictions in the context of a realistic experiment with Bose-Einstein condensates.
Pulse propagation in decorated random chains
Upendra Harbola; Alexandre Rosas; Aldo H. Romero; Katja Lindenberg
2010-05-05
We study pulse propagation in one-dimensional chains of spherical granules decorated with small randomly-sized granules placed between bigger monodisperse ones. Such "designer chains" are of interest in efforts to control the behavior of the pulse so as to optimize its propagation or attenuation, depending on the desired application. We show that a recently proposed effective description of simple decorated chains can be extended to predict pulse properties in chains decorated with small granules of randomly chosen radii. Furthermore, we also show that the binary collision approximation can again be used to provide analytic results for this system.
Deep ATLAS radio observations of the CDFS-SWIRE field Ray P. Norris1
Norris, Ray
1 Deep ATLAS radio observations of the CDFS-SWIRE field Ray P. Norris1 , JosÃ© Afonso5 , Phil N), which consist of deep radio observations of a 3.7 square degree field surrounding the Chandra Deep Field can only be discovered in wide, deep surveys such as this. Subject headings: Catalogs --- surveys
The DEEP Galaxy Redshift Survey: Color, Luminosity and Structural Properties of
The DEEP Galaxy Redshift Survey: Color, Luminosity and Structural Properties of Galaxies Benjamin Weiner and the DEEP Collaboration DEEP 2 Participants: UC Berkeley: M.Davis, A.Coil, J.Newman, D.Schiavon Caltech: C.Steidel, R.Ellis, C.Conselice #12;DEEP 1: Groth Strip Redshift Survey Galaxy properties
Deep seafloor arrivals: An unexplained set of arrivals in long-range ocean acoustic propagation
Frandsen, Jannette B.
Deep seafloor arrivals: An unexplained set of arrivals in long-range ocean acoustic propagation to predicted ocean acoustic arrivals and deep shadow zone arrivals leaking below turning points , "deep on the hydrophone array, are observed. These deep seafloor arrivals are an unexplained set of arrivals in ocean
Deep-space and near-Earth optical communications by coded orbital angular
Djordjevic, Ivan B.
Deep-space and near-Earth optical communications by coded orbital angular momentum (OAM) modulation in pulse-position modulation (PPM), typically used in deep-space applications, is needed, which imposes-bandwidth requirements of future deep-space and near-Earth optical communications. The main challenge for OAM deep- space
Day et al.: Deep Structural Roots in Urban Trees 2009 International Society of Arboriculture
Virginia Tech
when root collars are as little as 7.5 cm (3 in) deep. In some cases, deep structural roots trees respond to being located abnormally deep in the soil profile. This condition is widespread among), or is compacted (Day et al. 2001). Planting trees too deep with their root collars below soil grade can thus
Site-Wide Wrapper Induction for Life Science Deep Web Databases
Staab, Steffen
Site-Wide Wrapper Induction for Life Science Deep Web Databases Saqib Mir1,2 , Steffen Staab2-world biochemical deep Web sources and report our preliminary results, which are very promising. Keywords: Deep Web-paste actions, create temporary text-files and manually link records. #12;"Deep Web" research aims to virtually
Discovering Interesting Relationships among Deep Web Databases: A Source-Biased Approach
Caverlee, James
Discovering Interesting Relationships among Deep Web Databases: A Source-Biased Approach James # Springer Science + Business Media, LLC 2006 Abstract The escalation of deep web databases has been- ships among available deep web databases. Unlike the Bsurface^ web of static pages, these deep web
Deep-Sea Research II 52 (2005) 495512 Variability of Antarctic bottom water flow into
Cenedese, Claudia
2005-01-01
Deep-Sea Research II 52 (2005) 495512 Variability of Antarctic bottom water flow into the North a 500-m-deep layer of bottom water. The deep Antarctic bottom water current into the North Atlantic as earlier at revisited locations. The long-term drift of the deep Antarctic bottom water temperature
High pressure and temperature equations of state: A tool for insight into deep Earth systems
Armentrout, Matthew Martin
2012-01-01
the deep Earth, interpretation of seismic observables, andof state allows interpretation of the seismic observations,
A Factor-Graph based ZP-OFDM Receiver for Deep Water Acoustic Channels
Zhou, Shengli
A Factor-Graph based ZP-OFDM Receiver for Deep Water Acoustic Channels Zhaohui Wang, Shengli Zhou-OFDM) transmissions over deep water channels with extremely long delay spreads. Due to the geometric structure of deep receiver. Index Terms-- OFDM, deep water communications, inter- block-interference, inter
Assemblage of deep-sea sharks on Chatham Rise, New Zealand
collected as bycatch in two deep-water trawl fisheries at a total of 390 stations, which ranged in depth targeted in deep-water trawls. Sharks are common bycatch in deep water fisheries around the world, forming., 1990; Clark and King1). Most sharks captured in the New Zealand and Australian deep- water fisheries
Upply Chain Supernetworks with Random Demands
Nagurney, Anna
Upply Chain Supernetworks with Random Demands June Dong & Ding Zhang School of Business State Warehouses: stocking points Field Warehouses: stocking points Customers, demand centers sinks Production Commerce and Value Chain Management, 1998 Customer Demand Customer Demand Retailer OrdersRetailer Orders
Random Constraint Satisfaction: theory meets practice?
Walsh, Toby
, and Taylor demonstrated that the hardest search prob- lems often occur around a rapid transition for many di erent NP-complete problems. Experimental results about phase transition behaviour have come thick and fast since the publication of 2]. For example, in random 3-Sat, the phase transition
QUANTUM CHAOS, CLASSICAL RANDOMNESS, AND BOHMIAN MECHANICS
Goldstein, Sheldon
QUANTUM CHAOS, CLASSICAL RANDOMNESS, AND BOHMIAN MECHANICS Detlef DË? urr* ,+ , Sheldon Goldstein of quantum theory, Bohmian mechanics, in which ``quantum chaos'' also arises solely from the dynamical law. Moreover, this occurs in a manner far simpler than in the classical case. KEY WORDS: Quantum chaos; quantum
Distributed Algorithms with Dynamical Random Transitions
Henri Poincaré -Nancy-Université, Université
of the storage allocation system is taken as a function of time to be a #12;nite-state Markov chain resources where allocation and deal- location requests are dynamic random variables. This stochastic model, 16, 19]. The technique is applicable to other stochastically modelled resource allocation protocoles
Distributed QR Factorization Based on Randomized Algorithms
Zemen, Thomas
Distributed QR Factorization Based on Randomized Algorithms Hana Strakov´a1 , Wilfried N. Gansterer of Algorithms Hana.Strakova@univie.ac.at, Wilfried.Gansterer@univie.ac.at 2 Forschungszentrum Telekommunication Wien, Austria Thomas.Zemen@ftw.at Abstract. Most parallel algorithms for matrix computations assume
Resolution-Stationary Random Number Generators
L'Ecuyer, Pierre
of successive output values over their entire period length. For F2-linear generators, the commonly adopted efficient ways of implementing high-quality and long-period Tausworthe generators. Key words: random number un [0, 1) is the output of the generator at step n and the number of bits in this output, L
Positive Lyapunov exponent by a random perturbation
Zeng Lian; Mikko Stenlund
2010-12-20
We study the effect of a random perturbation on a one-parameter family of dynamical systems whose behavior in the absence of perturbation is ill understood. We provide conditions under which the perturbed system is ergodic and admits a positive Lyapunov exponent, with an explicit lower bound, for a large and controlled set of parameter values.
Random Walks and Nonlinear Dynamics in the
Frey, Erwin
in the experimental biophysics and state-of-the-art concepts of modern nonlinear dynamics and random-walk theory leading experts in cell biology and theoretical physics in order to tie recent advances: Visitors Program Mandy Lochar MPI for the Physics of Complex Systems Nöthnitzer Str. 38, D-01187 Dresden
RANDOMIZED SPARSE DIRECT SOLVERS 1. Introduction. Large ...
2013-03-21
Key words. randomized sparse solver, structured multifrontal method, skinny extend-add ... For example, for discretized elliptic equations in two dimen- ...... tions with modest accuracy, using the adaptive Algorithm 5 in MATLAB. ..... [36] S. Wang, M. V. de Hoop, and J. Xia, On 3D modeling of seismic wave propagation via a.
On the Unification of Random Matrix Theories
Rupert A Small
2015-03-31
A new method involving particle diagrams is introduced and developed into a rigorous framework for carrying out embedded random matrix calculations. Using particle diagrams and the attendant methodology including loop counting it becomes possible to calculate the fourth, sixth and eighth moments of embedded ensembles in a straightforward way. The method, which will be called the method of particle diagrams, proves useful firstly by providing a means of classifying the components of moments into particle paths, or loops, and secondly by giving a simple algorithm for calculating the magnitude of combinatorial expressions prior to calculating them explicitly. By confining calculations to the limit case $m \\ll l\\to\\infty$ this in many cases provides a sufficient excuse not to calculate certain terms at all, since it can be foretold using the method of particle diagrams that they will not survive in this asymptotic regime. Applying the method of particle diagrams washes out a great deal of the complexity intrinsic to the problem, with sufficient mathematical structure remaining to yield limiting statistics for the unified phase space of random matrix theories. Finally, since the unified form of random matrix theory is essentially the set of all randomised k-body potentials, it should be no surprise that the early statistics calculated for the unified random matrix theories in some instances resemble the statistics currently being discovered for quantum spin hypergraphs and other randomised potentials on graphs [HMH05,ES14,KLW14]. This is just the beginning for studies into the field of unified random matrix theories, or embedded ensembles, and the applicability of the method of particle diagrams to a wide range of questions as well as to the more exotic symmetry classes, such as the symplectic ensembles, is still an area of open-ended research.
Deep seawater inherent optical properties in the Southern Ionian Sea
G. Riccobene; A. Capone; the NEMO collaboration
2006-03-25
The NEMO (NEutrino Mediterranean Observatory) Collaboration has been carrying out since 1998 an evaluation programme of deep sea sites suitable for the construction of the future Mediterranean km3 Cerenkov neutrino telescope. We investigated the seawater optical and oceanographic properties of several deep sea marine areas close to the Italian Coast. Inherent optical properties (light absorption and attenuation coefficients) have been measured as a function of depth using an experimental apparatus equipped with standard oceanographic probes and the commercial transmissometer AC9 manufactured by WETLabs. This paper reports on the visible light absorption and attenuation coefficients measured in deep seawater of a marine region located in the Southern Ionian Sea, 60-100 km SE of Capo Passero (Sicily). Data show that blue light absorption coefficient is about 0.015 1/m (corresponding to an absorption length of 67 m) close to the one of optically pure water and it doe not show seasonal variation.
ATLAS: Deep Radio Observations of Six Square Degrees
Ray P. Norris; Enno Middelberg; Brian J. Boyle
2007-01-12
We are using the Australia Telescope Compact Array to image about six square degrees surrounding the Chandra Deep Field South and European Large Area ISO Survey - South 1 regions, with the aim of producing the widest deep radio survey ever attempted, in fields with deep optical, infrared, and X-ray data. Our goal is to penetrate the heavy dust extinction which is found in active galaxies at all redshifts, and study the star formation activity and active galactic nuclei buried within. Although we are only about half-way through the survey, our data are proving remarkably fruitful. For example, we have discovered a new and unexpected class of object (the Infrared-Faint Radio Sources), we have found that the radio-FIR correlation extends to low flux densities, and we havefound powerful AGN-like radio objects in galaxies with a star-forming SED.
Deep borehole disposal of high-level radioactive waste.
Stein, Joshua S.; Freeze, Geoffrey A.; Brady, Patrick Vane; Swift, Peter N.; Rechard, Robert Paul; Arnold, Bill Walter; Kanney, Joseph F.; Bauer, Stephen J.
2009-07-01
Preliminary evaluation of deep borehole disposal of high-level radioactive waste and spent nuclear fuel indicates the potential for excellent long-term safety performance at costs competitive with mined repositories. Significant fluid flow through basement rock is prevented, in part, by low permeabilities, poorly connected transport pathways, and overburden self-sealing. Deep fluids also resist vertical movement because they are density stratified. Thermal hydrologic calculations estimate the thermal pulse from emplaced waste to be small (less than 20 C at 10 meters from the borehole, for less than a few hundred years), and to result in maximum total vertical fluid movement of {approx}100 m. Reducing conditions will sharply limit solubilities of most dose-critical radionuclides at depth, and high ionic strengths of deep fluids will prevent colloidal transport. For the bounding analysis of this report, waste is envisioned to be emplaced as fuel assemblies stacked inside drill casing that are lowered, and emplaced using off-the-shelf oilfield and geothermal drilling techniques, into the lower 1-2 km portion of a vertical borehole {approx}45 cm in diameter and 3-5 km deep, followed by borehole sealing. Deep borehole disposal of radioactive waste in the United States would require modifications to the Nuclear Waste Policy Act and to applicable regulatory standards for long-term performance set by the US Environmental Protection Agency (40 CFR part 191) and US Nuclear Regulatory Commission (10 CFR part 60). The performance analysis described here is based on the assumption that long-term standards for deep borehole disposal would be identical in the key regards to those prescribed for existing repositories (40 CFR part 197 and 10 CFR part 63).
Maximization of Extractable Randomness in a Quantum Random-Number Generator
J. Y. Haw; S. M. Assad; A. M. Lance; N. H. Y. Ng; V. Sharma; P. K. Lam; T. Symul
2015-05-19
The generation of random numbers via quantum processes is an efficient and reliable method to obtain true indeterministic random numbers that are of vital importance to cryptographic communication and large-scale computer modeling. However, in realistic scenarios, the raw output of a quantum random-number generator is inevitably tainted by classical technical noise. The integrity of the device can be compromised if this noise is tampered with, or even controlled by some malicious party. To safeguard against this, we propose and experimentally demonstrate an approach that produces side-information independent randomness that is quantified by min-entropy conditioned on this classical noise. We present a method for maximizing the conditional min-entropy of the number sequence generated from a given quantum-to-classical-noise ratio. The detected photocurrent in our experiment is shown to have a real-time random-number generation rate of 14 (Mbit/s)/MHz. The spectral response of the detection system shows the potential to deliver more than 70 Gbit/s of random numbers in our experimental setup.
The Phoenix Deep Survey: Evolution of Star Forming Galaxies
A. M. Hopkins; J. Afonso; A. Georgakakis; M. Sullivan; B. Mobasher; L. E. Cram
2003-12-01
The Phoenix Deep Survey (PDS) is a multiwavelength survey based on deep 1.4 GHz radio observations used to identify a large sample of star forming galaxies to z=1. Photometric redshifts are estimated for the optical counterparts to the radio-detected galaxies, and their uncertainties quantified by comparison with spectroscopic redshift measurements. The photometric redshift estimates and associated best-fitting spectral energy distributions are used in a stacking analysis exploring the mean radio properties of U-band selected galaxies. Average flux densities of a few microJy are measured.
Ultra-Deep Drilling Cost Reduction; Design and Fabrication of an Ultra-Deep Drilling Simulator (UDS)
Lindstrom, Jason
2010-01-31
Ultra-deep drilling, below about 20,000 ft (6,096 m), is extremely expensive and limits the recovery of hydrocarbons at these depths. Unfortunately, rock breakage and cuttings removal under these conditions is not understood. To better understand and thus reduce cost at these conditions an ultra-deep single cutter drilling simulator (UDS) capable of drill cutter and mud tests to sustained pressure and temperature of 30,000 psi (207 MPa) and 482 °F (250 °C), respectively, was designed and manufactured at TerraTek, a Schlumberger company, in cooperation with the Department of Energy’s National Energy Technology Laboratory. UDS testing under ultra-deep drilling conditions offers an economical alternative to high day rates and can prove or disprove the viability of a particular drilling technique or fluid to provide opportunity for future domestic energy needs.
From Boltzmann to random matrices and beyond
Djalil Chafaï
2015-02-26
These expository notes propose to follow, across fields, some aspects of the concept of entropy. Starting from the work of Boltzmann in the kinetic theory of gases, various universes are visited, including Markov processes and their Helmholtz free energy, the Shannon monotonicity problem in the central limit theorem, the Voiculescu free probability theory and the free central limit theorem, random walks on regular trees, the circular law for the complex Ginibre ensemble of random matrices, and finally the asymptotic analysis of mean-field particle systems in arbitrary dimension, confined by an external field and experiencing singular pair repulsion. The text is written in an informal style driven by energy and entropy. It aims to be recreative and to provide to the curious readers entry points in the literature, and connections across boundaries.
Delone dynamical systems and associated random operators
Daniel Lenz; Peter Stollmann
2002-05-13
We carry out a careful study of basic topological and ergodic features of Delone dynamical systems. We then investigate the associated topological groupoids and in particular their representations on certain direct integrals with non constant fibres. Via non-commutative-integration theory these representations give rise to von Neumann algebras of random operators. Features of these algebras and operators are discussed. Restricting our attention to a certain subalgebra of tight binding operators, we then discuss a Shubin trace formula.
Chopped random-basis quantum optimization
Tommaso Caneva; Tommaso Calarco; Simone Montangero
2011-08-22
In this work we describe in detail the "Chopped RAndom Basis" (CRAB) optimal control technique recently introduced to optimize t-DMRG simulations [arXiv:1003.3750]. Here we study the efficiency of this control technique in optimizing different quantum processes and we show that in the considered cases we obtain results equivalent to those obtained via different optimal control methods while using less resources. We propose the CRAB optimization as a general and versatile optimal control technique.
Prediction and Estimation of Random Fields
Kohli, Priya
2012-10-19
; z2) = 1X k=0 1X ‘=0 bk;‘z k 1z ‘ 2; 1(z1; z2) = 1X k=0 1X ‘=0 ak;‘z k 1z ‘ 2; (2.25) 20 from which it follows that the MA and AR parameters of the random field are related to each other via the recursions b0;0 = a0;0 = 1; bi...
Average transmission probability of a random stack
Yin Lu; Christian Miniatura; Berthold-Georg Englert
2009-07-31
The transmission through a stack of identical slabs that are separated by gaps with random widths is usually treated by calculating the average of the logarithm of the transmission probability. We show how to calculate the average of the transmission probability itself with the aid of a recurrence relation and derive analytical upper and lower bounds. The upper bound, when used as an approximation for the transmission probability, is unreasonably good and we conjecture that it is asymptotically exact.
Local semicircle law for random regular graphs
Roland Bauerschmidt; Antti Knowles; Horng-Tzer Yau
2015-05-26
We consider random $d$-regular graphs on $N$ vertices, with degree $d$ at least $(\\log N)^4$. We prove that the Green's function of the adjacency matrix and the Stieltjes transform of its empirical spectral measure are well approximated by Wigner's semicircle law, down to the optimal scale given by the typical eigenvalue spacing (up to a logarithmic correction). Aside from well-known consequences for the local eigenvalue distribution, this result implies the complete delocalization of all eigenvectors.
Randomized control of open quantum systems
Lorenza Viola
2006-01-16
The problem of open-loop dynamical control of generic open quantum systems is addressed. In particular, I focus on the task of effectively switching off environmental couplings responsible for unwanted decoherence and dissipation effects. After revisiting the standard framework for dynamical decoupling via deterministic controls, I describe a different approach whereby the controller intentionally acquires a random component. An explicit error bound on worst-case performance of stochastic decoupling is presented.
Random Matrix Spectra as a Time Series
Ruben Fossion; Gamaliel Torres Vargas; Juan Carlos López Vieyra
2013-11-23
Spectra of ordered eigenvalues of finite Random Matrices are interpreted as a time series. Dataadaptive techniques from signal analysis are applied to decompose the spectrum in clearly differentiated trend and fluctuation modes, avoiding possible artifacts introduced by standard unfolding techniques. The fluctuation modes are scale invariant and follow different power laws for Poisson and Gaussian ensembles, which already during the unfolding allows to distinguish the two cases.
Random parking, Euclidean functionals, and rubber elasticity
Antoine Gloria; Mathew D. Penrose
2012-03-06
We study subadditive functions of the random parking model previously analyzed by the second author. In particular, we consider local functions $S$ of subsets of $\\mathbb{R}^d$ and of point sets that are (almost) subadditive in their first variable. Denoting by $\\xi$ the random parking measure in $\\mathbb{R}^d$, and by $\\xi^R$ the random parking measure in the cube $Q_R=(-R,R)^d$, we show, under some natural assumptions on $S$, that there exists a constant $\\bar{S}\\in \\mathbb{R}$ such that % $$ \\lim_{R\\to +\\infty} \\frac{S(Q_R,\\xi)}{|Q_R|}\\,=\\,\\lim_{R\\to +\\infty}\\frac{S(Q_R,\\xi^R)}{|Q_R|}\\,=\\,\\bar{S} $$ % almost surely. If $\\zeta \\mapsto S(Q_R,\\zeta)$ is the counting measure of $\\zeta$ in $Q_R$, then we retrieve the result by the second author on the existence of the jamming limit. The present work generalizes this result to a wide class of (almost) subadditive functions. In particular, classical Euclidean optimization problems as well as the discrete model for rubber previously studied by Alicandro, Cicalese, and the first author enter this class of functions. In the case of rubber elasticity, this yields an approximation result for the continuous energy density associated with the discrete model at the thermodynamic limit, as well as a generalization to stochastic networks generated on bounded sets.
Kronberg, James W. (353 Church Rd., Beech Island, SC 29841)
1993-01-01
An apparatus for selecting at random one item of N items on the average comprising counter and reset elements for counting repeatedly between zero and N, a number selected by the user, a circuit for activating and deactivating the counter, a comparator to determine if the counter stopped at a count of zero, an output to indicate an item has been selected when the count is zero or not selected if the count is not zero. Randomness is provided by having the counter cycle very often while varying the relatively longer duration between activation and deactivation of the count. The passive circuit components of the activating/deactivating circuit and those of the counter are selected for the sensitivity of their response to variations in temperature and other physical characteristics of the environment so that the response time of the circuitry varies. Additionally, the items themselves, which may be people, may vary in shape or the time they press a pushbutton, so that, for example, an ultrasonic beam broken by the item or person passing through it will add to the duration of the count and thus to the randomness of the selection.
Kronberg, J.W.
1993-04-20
An apparatus for selecting at random one item of N items on the average comprising counter and reset elements for counting repeatedly between zero and N, a number selected by the user, a circuit for activating and deactivating the counter, a comparator to determine if the counter stopped at a count of zero, an output to indicate an item has been selected when the count is zero or not selected if the count is not zero. Randomness is provided by having the counter cycle very often while varying the relatively longer duration between activation and deactivation of the count. The passive circuit components of the activating/deactivating circuit and those of the counter are selected for the sensitivity of their response to variations in temperature and other physical characteristics of the environment so that the response time of the circuitry varies. Additionally, the items themselves, which may be people, may vary in shape or the time they press a pushbutton, so that, for example, an ultrasonic beam broken by the item or person passing through it will add to the duration of the count and thus to the randomness of the selection.
Electrokinetic transport in microchannels with random roughness
Wang, Moran [Los Alamos National Laboratory; Kang, Qinjun [Los Alamos National Laboratory
2008-01-01
We present a numerical framework to model the electrokinetic transport in microchannels with random roughness. The three-dimensional microstructure of the rough channel is generated by a random generation-growth method with three statistical parameters to control the number density, the total volume fraction, and the anisotropy characteristics of roughness elements. The governing equations for the electrokinetic transport are solved by a high-efficiency lattice Poisson?Boltzmann method in complex geometries. The effects from the geometric characteristics of roughness on the electrokinetic transport in microchannels are therefore modeled and analyzed. For a given total roughness volume fraction, a higher number density leads to a lower fluctuation because of the random factors. The electroosmotic flow rate increases with the roughness number density nearly logarithmically for a given volume fraction of roughness but decreases with the volume fraction for a given roughness number density. When both the volume fraction and the number density of roughness are given, the electroosmotic flow rate is enhanced by the increase of the characteristic length along the external electric field direction but is reduced by that in the direction across the channel. For a given microstructure of the rough microchannel, the electroosmotic flow rate decreases with the Debye length. It is found that the shape resistance of roughness is responsible for the flow rate reduction in the rough channel compared to the smooth channel even for very thin double layers, and hence plays an important role in microchannel electroosmotic flows.
Component evolution in general random intersection graphs
Bradonjic, Milan [Los Alamos National Laboratory; Hagberg, Aric [Los Alamos National Laboratory; Hengartner, Nick [Los Alamos National Laboratory; Percus, Allon G [CLAREMONT GRADUATE UNIV.
2010-01-01
We analyze component evolution in general random intersection graphs (RIGs) and give conditions on existence and uniqueness of the giant component. Our techniques generalize the existing methods for analysis on component evolution in RIGs. That is, we analyze survival and extinction properties of a dependent, inhomogeneous Galton-Watson branching process on general RIGs. Our analysis relies on bounding the branching processes and inherits the fundamental concepts from the study on component evolution in Erdos-Renyi graphs. The main challenge becomes from the underlying structure of RIGs, when the number of offsprings follows a binomial distribution with a different number of nodes and different rate at each step during the evolution. RIGs can be interpreted as a model for large randomly formed non-metric data sets. Besides the mathematical analysis on component evolution, which we provide in this work, we perceive RIGs as an important random structure which has already found applications in social networks, epidemic networks, blog readership, or wireless sensor networks.
STOCHASTIC DESIGN AND CONTROL IN RANDOM HETEROGENEOUS MATERIALS
Del Moral , Pierre
STOCHASTIC DESIGN AND CONTROL IN RANDOM HETEROGENEOUS MATERIALS RAPHAEL STERNFELS AND PHAEDON-STELIOS KOUTSOURELAKIS Abstract. The present paper discusses a sampling framework that enables the optimization concerned with problems relating to random heterogeneous materials where uncertainties arise from
Hoversten, E. A.; Gronwall, C.; Koch, T. S.; Roming, P. W. A.; Siegel, M. H.; Berk, D. E. Vanden; Breeveld, A. A.; Curran, P. A.; Still, M.
2009-11-10
Deep Swift UV/Optical Telescope (UVOT) imaging of the Chandra Deep Field South is used to measure galaxy number counts in three near-ultraviolet (NUV) filters (uvw2: 1928 A, uvm2: 2246 A, and uvw1: 2600 A) and the u band (3645 A). UVOT observations cover the break in the slope of the NUV number counts with greater precision than the number counts by the Hubble Space Telescope Space Telescope Imaging Spectrograph and the Galaxy Evolution Explorer, spanning a range 21 approx< m{sub AB} approx< 25. Model number counts confirm earlier investigations in favoring models with an evolving galaxy luminosity function.
Hoversten, E A; Berk, D E Vanden; Koch, T S; Breeveld, A A; Curran, P A; Hinshaw, D A; Marshall, F E; Roming, P W A; Siegel, M H; Still, M
2009-01-01
Deep Swift UV/Optical Telescope (UVOT) imaging of the Chandra Deep Field South is used to measure galaxy number counts in three near ultraviolet (NUV) filters (uvw2: 1928 A, uvm2: 2246 A, uvw1: 2600 A) and the u band (3645 A). UVOT observations cover the break in the slope of the NUV number counts with greater precision than the number counts by the Hubble Space Telescope (HST) Space Telescope Imaging Spectrograph (STIS) and the Galaxy Evolution Explorer (GALEX), spanning a range from 21 < m_AB < 25. Number counts models confirm earlier investigations in favoring models with an evolving galaxy luminosity function.
Monte Carlo Algorithmsa The randomized bipartite perfect matching algorithm is
Lyuu, Yuh-Dauh
, National Taiwan University Page 461 #12;The Markov Inequalitya Lemma 64 Let x be a random variable taking
Monte Carlo Algorithmsa The randomized bipartite perfect matching algorithm is
Lyuu, Yuh-Dauh
Markov Inequalitya Lemma 61 Let x be a random variable taking nonnegative integer values. Then for any k
Production of Charged Hadrons in Muon Deep Inelastic Scattering
Mohammed Sultan Al-Buriahi; Mohammed Tarek Hussein; Mohammed Tawfik Ghoneim
2015-08-06
The production of charged hadrons, in muon Deep inelastic scattering (DIS), at light and heavy target is presented. The particles produced by the interaction with Xenon (Xe) is compared with that produced by the interaction with Deuteron (D), to obtain information on cascading process, forward-backward productions, and the rapidity distribution in different bins of the invariant mass of the interacting system W.
High-Tech Fishing Is Emptying Deep Seas, Scientists Warn
Hutchings, Jeffrey A.
High-Tech Fishing Is Emptying Deep Seas, Scientists Warn D.L. Parsell National Geographic News into farther reaches of the ocean, guided by high-tech devices that include technologies originally developed spotter planes while the high-value tuna industry in the Pacific uses helicopters and other tracking
Leading proton production in deep inelastic scattering at HERA
Leading proton production in deep inelastic 1 scattering at HERA 2 ZEUS Collaboration 3 Draft, with a #28;nal-state proton carrying a large fraction of the incoming proton energy, x L > 0 photon virtualities Q 2 > 3 GeV 2 and mass of the photon-proton sys- tem 45
Why West Cumbria is unsuitable for a deep
Why West Cumbria is unsuitable for a deep geological nuclear waste facility: Allerdale Hubris of nuclear engineers David Smythe 22 November 2012 #12;Some progress made during/since MRWS 50 400 ~500 Quaternary: Aquifer 200 Repository Zone 100 Currently active water wells penetrate
Permanent carbon dioxide storage in deep-sea sediments
Schrag, Daniel
Permanent carbon dioxide storage in deep-sea sediments Kurt Zenz House* , Daniel P. Schrag, Cambridge, MA 02138; Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139; and §Earth Engineering Center, Columbia University, New York, NY 10027
Connectivity in deep water sharks and implications for bycatch
Hawai'i at Manoa, University of
. Weng Department of Oceanography University of Hawaii at Manoa PFRP Annual Meeting November 26-27 2012 1... · Do sixgill sharks leave the benthos to traverse deep channels? Alinuihaha, Kauai channels Kauai channel (mature, male) Hypothesis: Sixgill sharks do not cross channels or open ocean >2500m depth
2007 OCEAN DRILLING CITATION REPORT Covering Deep Sea Drilling Project-
2007 OCEAN DRILLING CITATION REPORT Covering Deep Sea Drilling Project- and Ocean Drilling Program Services on behalf of the Integrated Ocean Drilling Program September 2007 #12;#12;OVERVIEW OF THE OCEAN DRILLING CITATION DATABASE The Ocean Drilling Citation Database, which in February 2007 contained
The Physics of Deep-Inelastic Scattering at HERA
Cristinel Diaconu
2007-11-12
In this paper an introduction to the physics of deep-inelastic scattering is given together with an account of some of the most recent results on the proton structure obtained in electron-- and positron--proton collisions at the HERA collider.
No solitary waves exist on 2D deep water
Hur, Vera Mikyoung
2015-01-01
The solitary wave problem at the free surface of a two-dimensional, infinitely-deep and irrotational flow of water, under the influence of gravity, is formulated as a nonlinear pseudodifferential equation. A Pohozaev identity is used to show that it admits no solutions which asymptotically vanish faster than linearly.
Building America Webinar: Who's Successfully Doing Deep Energy Retrofits?
Broader source: Energy.gov [DOE]
The webinar on June 25, 2014, focused on specific Building America projects that highlighted real-world examples of deep energy retrofits (DER) that are meeting with technical and market success. Presenters focused on technical strategies, modeled and actual performance results, and project costs.
Building America Webinar: Who's Successfully Doing Deep Energy Retrofits?
Broader source: Energy.gov [DOE]
The webinar will focus on specific Building America projects and case studies that highlight real-world examples of deep energy retrofits that are meeting with technical and market success. Presenters will focus on technical strategies, modeled and actual performance results, and project costs.
No solitary waves exist on 2D deep water
Vera Mikyoung Hur
2012-09-10
The solitary wave problem at the free surface of a two-dimensional, infinitely-deep and irrotational flow of water, under the influence of gravity, is formulated as a nonlinear pseudodifferential equation. A Pohozaev identity is used to show that it admits no solutions which asymptotically vanish faster than linearly.
On the kurtosis of ocean waves in deep water
Fedele, Francesco
2014-01-01
In this paper, we revisit Janssen's (2003) formulation for the dynamic excess kurtosis of weakly nonlinear gravity waves in deep water. For narrowband directional spectra, the formulation is expressed as a sixfold integral that depends upon the Benjamin-Feir index and the parameter $R=\
DEEP COMPREHENSION, GENERATION AND TRANSLATION OF WEATHER FORECASTS (WEATHRA)
in a data base and graphic representation with tile standard meteorological icons on a map, e.g. iconsDEEP COMPREHENSION, GENERATION AND TRANSLATION OF WEATHER FORECASTS (WEATHRA) by BENGT SIGURD, Sweden E-mail: linglund@gemini.ldc.lu.se FAX:46-(0)46 104210 Introduction and abstract Weather forecasts
Deep Web: Databases on the Web Denis Shestakov
Hammerton, James
Deep Web: Databases on the Web Denis Shestakov Turku Centre for Computer Science, Finland I N T R O D U C T I O N Finding information on the Web using a web search engine is one of the primary activities of today's web users. For a majority of users results returned by conventional search engines
Role of the nuclear vector potential in deep inelastic scattering
W. Detmold; G. A. Miller; J. R. Smith
2005-09-15
We study the influence of the strong nuclear vector potential, treated using the mean-field approximation, in deep inelastic scattering. A consistent treatment of the electromagnetic current operator, combined with the use of the operator product expansion is presented and discussed.
Infrared photothermal radiometry of deep subsurface defects in semiconductor materials
Mandelis, Andreas
Infrared photothermal radiometry of deep subsurface defects in semiconductor materials M. E. Rodri sensitivity to the electronic transport properties of the laser photoexcited material.3 Using two information. INTRODUCTION The nondestructive, nonintrusive evaluation of semicon- ductor materials has been of common
Magic Materials: a theory of deep hierarchical architectures
Poggio, Tomaso
and complex cells, such as those in V1, can naturally implement such estimates. Hierarchical architecturesMagic Materials: a theory of deep hierarchical architectures for learning sensory representations Architectures) Fabio Anselmi, Joel Z Leibo, Lorenzo Rosasco, Jim Mutch, Andrea Tacchetti, Tomaso Poggio May 6
DEEP MAXIMA OF PHOTOSYNTHETIC CHLOROPHYLL IN THE PACIFIC OCEAN
DEEP MAXIMA OF PHOTOSYNTHETIC CHLOROPHYLL IN THE PACIFIC OCEAN E. L. VENRICK, J. A. MCGOWAN, AND A Pacific Ocean show that during most of the year the maximum concentrations of chlorophyll occur below in the world's oceans. There are several thousands of these measurements in the Pacific. Most
Deep Borehole Disposal Remediation Costs for Off-Normal Outcomes
Finger, John T.; Cochran, John R.; Hardin, Ernest
2015-08-17
This memo describes rough-order-of-magnitude (ROM) cost estimates for a set of off-normal (accident) scenarios, as defined for two waste package emplacement method options for deep borehole disposal: drill-string and wireline. It summarizes the different scenarios and the assumptions made for each, with respect to fishing, decontamination, remediation, etc.
The Deep Currents in the Eastern Equatorial Atlantic Ocean
/IRD/UPMC), IPSL, Paris, France. 3 IRD, B.P. A5, 98848 Nouméa cedex, New-Caledonia. 4 LEGOS (CNRS observed in the central and western equatorial basin. Here, we present three meridional velocity sections of the basin [Böning and Schott, 1993; Gouriou et al., 1999, 2001; Send et al., 2002] but no deep velocity
On the standing wave problem in deep water Gerard Iooss
Iooss, Gérard
On the standing wave problem in deep water G´erard Iooss Institut Universitaire de France INLN UMR a new formulation of the classical two-dimensional stand- ing wave problem which makes transparent]), with an arbitrary number, possibly infinite, of dominant modes. 1 Introduction The two-dimensional standing wave
A deep near-infrared survey toward the Aquila molecular cloud - I. Molecular hydrogen outflows
Zhang, Miaomiao; Wang, Hongchi; Sun, Jia; Wang, Min; Jiang, Zhibo; Anathipindika, Sumedh
2015-01-01
We have performed an unbiased deep near-infrared survey toward the Aquila molecular cloud with a sky coverage of ~1 deg2. We identified 45 molecular hydrogen emission-line objects(MHOs), of which only 11 were previously known. Using the Spitzer archival data we also identified 802 young stellar objects (YSOs) in this region. Based on the morphology and the location of MHOs and YSO candidates, we associate 43 MHOs with 40 YSO candidates. The distribution of jet length shows an exponential decrease in the number of outflows with increasing length and the molecular hydrogen outflows seem to be oriented randomly. Moreover, there is no obvious correlation between jet lengths, jet opening angles, or jet H2 1-0 S(1) luminosities and spectral indices of the possible driving sources in this region. We also suggest that molecular hydrogen outflows in the Aquila molecular cloud are rather weak sources of turbulence, unlikely to generate the observed velocity dispersion in the region of survey.
A Universal Damping Mechanism of Quantum Vibrations in Deep Sub-Barrier Fusion Reactions
Takatoshi Ichikawa; Kenichi Matsuyanagi
2015-06-26
We demonstrate the damping of quantum octupole vibrations near the touching point when two colliding nuclei approach each other in the mass-asymmetric $^{208}$Pb + $^{16}$O system, for which the strong fusion hindrance was clearly observed. We, for the first time, apply the random-phase approximation method to the heavy-mass asymmetric di-nuclear system to calculate the transition strength $B$(E3) as a function of the center-of-mass distance. The obtained $B$(E3) strengths are substantially damped near the touching point, because the single-particle wave functions of the two nuclei strongly mix with each other and a neck is formed. The energy-weighted sums of $B$(E3) are also strongly correlated with the damping factor which is phenomenologically introduced in the standard coupled-channel calculations to reproduce the fusion hindrance. This strongly indicates that the damping of the quantum vibrations universally occurs in the deep sub-barrier fusion reactions.
A Universal Damping Mechanism of Quantum Vibrations in Deep Sub-Barrier Fusion Reactions
Ichikawa, Takatoshi
2015-01-01
We demonstrate the damping of quantum octupole vibrations near the touching point when two colliding nuclei approach each other in the mass-asymmetric $^{208}$Pb + $^{16}$O system, for which the strong fusion hindrance was clearly observed. We, for the first time, apply the random-phase approximation method to the heavy-mass asymmetric di-nuclear system to calculate the transition strength $B$(E3) as a function of the center-of-mass distance. The obtained $B$(E3) strengths are substantially damped near the touching point, because the single-particle wave functions of the two nuclei strongly mix with each other and a neck is formed. The energy-weighted sums of $B$(E3) are also strongly correlated with the damping factor which is phenomenologically introduced in the standard coupled-channel calculations to reproduce the fusion hindrance. This strongly indicates that the damping of the quantum vibrations universally occurs in the deep sub-barrier fusion reactions.
Theory of Large Dimensional Random Matrices for Engineers
matrix theory in wireless communication theory, interest in the study of random matrices began of asymptotic random matrix theory, has emerged in the communications and information theory literature of the statistics of random matrices arising in wireless communications. The emphasis will be on asymptotic
Compact floating-gate true random number generator
Maryland at College Park, University of
Compact floating-gate true random number generator P. Xu, Y.L. Wong, T.K. Horiuchi and P.A. Abshire A compact true random number generator (RNG) integrated circuit with adjustable probability is presented. Introduction: Random number generation is indispensable in crypto- graphy, scientific computing and stochastic
Analysis of the Linux Random Number Generator Zvi Gutterman
International Association for Cryptologic Research (IACR)
Analysis of the Linux Random Number Generator Zvi Gutterman Safend and The Hebrew University Abstract Linux is the most popular open source project. The Linux random number generator is part of the kernel of all Linux distributions and is based on generating randomness from entropy of operating system
SPICE Simulation of a "Provably Secure" True Random Number Generator
International Association for Cryptologic Research (IACR)
SPICE Simulation of a "Provably Secure" True Random Number Generator Markus Dichtl, Bernd Meyer True Random Number Generator with Built-in Tolerance to Active Attacks", B. Sunar, W. Mar- tin, and D. Stinson propose a design for a true random number generator. Using SPICE simulation we study the behaviour
Stretched Polymers in Random Environment Dmitry Ioffe and Yvan Velenik
Velenik, Yvan
Stretched Polymers in Random Environment Dmitry Ioffe and Yvan Velenik Abstract We survey recent results and open questions on the ballistic phase of stretched polymers in both annealed and quenched Introduction Stretched polymers or drifted random walks in random potentials could be consid- ered either
SEISMIC EVALUATION OF HYDROCARBON SATURATION IN DEEP-WATER RESERVOIRS
Michael Batzle; D-h Han; R. Gibson; Huw James
2005-01-22
During this last quarter of the ''Seismic Evaluation of Hydrocarbon Saturation in Deep-Water Reservoirs'' project (Grant/Cooperative Agreement DE-FC26-02NT15342), we have moved forward on several fronts, including data acquisition as well as analysis and application. During this quarter we have: (1) Completed our site selection (finally); (2) Measured fluid effects in Troika deep water sand sample; (3) Applied the result to Ursa ''fizz gas'' zone; (4) Compared thin layer property averaging on AVO response; (5) Developed target oriented NMO stretch correction; (6) Examined thin bed effects on A-B crossplots; and (7) Begun incorporating outcrop descriptive models in seismic forward models. Several factors can contribute to limit our ability to extract accurate hydrocarbon saturations in deep water environments. Rock and fluid properties are one factor, since, for example, hydrocarbon properties will be considerably different with great depths (high pressure) when compared to shallow properties. Significant over pressure, on the other hand will make the rocks behave as if they were shallower. In addition to the physical properties, the scale and tuning will alter our hydrocarbon indicators. Reservoirs composed of thin bed effects will broaden the reflection amplitude distribution with incident angle. Normal move out (NMO) stretch corrections based on frequency shifts can be applied to offset this effect. Tuning will also disturb the location of extracted amplitudes on AVO intercept and gradient (A-B) plots. Many deep water reservoirs fall this tuning thickness range. Our goal for the remaining project period is to systematically combine and document these various effects for use in deep water exploration.
Supercement for Annular Seal and Long-Term Integrity in Deep, Hot Wells "DeepTrek"
CSI Technologies
2007-08-31
The purpose of this project is to formulate a 'Supercement' designed for improving the long-term sealing integrity in HPHT wells. Phase I concentrated on chemistry studies and screening tests to design and evaluate Portland-based, hybrid Portland, and non-Portland-based cement systems suitable for further scale-up testing. Phase II work concentrated on additional lab and field testing to reduce the candidate materials list to two systems, as well as scaleup activities aimed at verifying performance at the field scale. Phase II was extended thorough a proposal to develop additional testing capabilities aimed at quantifying cementing material properties and performance that were previously not possible. Phase III focused on bringing the material(s) developed in previous Phases to commercialization, through Field Trials, Cost/Benefit Analysis, and Technology Transfer. Extensive development and testing work throughout the project led to Phase III commercialization of two very different materials: (1) Highly-expansive cement (Portland-based), patent pending as 'PRESTRESSED CEMENT'; and (2) Epoxy Resin (non-Portland-based), patent pending. Trade name is Ultra Seal-R. In Phase III, work concentrated on application of the Supercement materials in various increasingly-challenging wells. Previous testing revealed that PRESTRESSED CEMENT, when applied in weak or unconsolidated formations, tends to expand away from the central pipe, restricting the applicability of this material to competent formations. Tests were devised to quantify this effect so the material could be applied in appropriate wells. Additionally, the testing was needed because of industry resistance to expansive cements, due to previous marketing attempts with other materials that were less than successful. Field trials with the Epoxy Resin currently numbers in the hundreds of jobs at up to 295 deg F, with a large percentage being completely successful. Both the PRESTRESSED CEMENT as well as the Ultra Seal-R represent materials fulfilling the objectives of the DeepTrek project.
Low-temperature random matrix theory at the soft edge
Edelman, Alan; Persson, Per-Olof; Sutton, Brian D.
2014-06-15
“Low temperature” random matrix theory is the study of random eigenvalues as energy is removed. In standard notation, ? is identified with inverse temperature, and low temperatures are achieved through the limit ? ? ?. In this paper, we derive statistics for low-temperature random matrices at the “soft edge,” which describes the extreme eigenvalues for many random matrix distributions. Specifically, new asymptotics are found for the expected value and standard deviation of the general-? Tracy-Widom distribution. The new techniques utilize beta ensembles, stochastic differential operators, and Riccati diffusions. The asymptotics fit known high-temperature statistics curiously well and contribute to the larger program of general-? random matrix theory.
Data Collection and Event Detection in the Deep Sea with Delay Minimization
Wu, Jie
collection and event detection in the deep sea pose some unique challenges, due to the need of timely data to the huge area of the search space, the data (or events) reporting in the deep sea also pose a unique
Fowler, Debra Anne
2004-11-15
is to measure the learning approach (deep versus surface) of first-year engineering students, test the impact of two interventions (journaling and learning strategy awareness) on increasing the deep approach to learning, and determine the relationship...
Deep Vadose Zone–Applied Field Research Initiative Fiscal Year 2012 Annual Report
Wellman, Dawn M.; Truex, Michael J.; Johnson, Timothy C.; Bunn, Amoret L.; Golovich, Elizabeth C.
2013-03-14
This annual report describes the background of the Deep Vadose Zone-Applied Field Research Initiative, and some of the programmatic approaches and transformational technologies in groundwater and deep vadose zone remediation developed during fiscal year 2012.
A Two-level Prediction Model for Deep Reactive Ion Etch (DRIE)
Taylor, Hayden K.
We contribute a quantitative and systematic model to capture etch non-uniformity in deep reactive ion etch of microelectromechanical systems (MEMS) devices. Deep reactive ion etch is commonly used in MEMS fabrication where ...
Improved Global Bathymetry, Global Sea Floor Roughness, and Deep Ocean Mixing
Becker, Joseph J
2008-01-01
Significant dissipation of tidal energy in the deep ocean2001), Estimates of M-2 tidal energy dissipation from TOPEX/Significant dissipation of tidal energy in the deep ocean
Improved global bathymetry, global sea floor roughness, and deep ocean mixing
Becker, Joseph Jeffrey
2008-01-01
Significant dissipation of tidal energy in the deep ocean2001), Estimates of M-2 tidal energy dissipation from TOPEX/Significant dissipation of tidal energy in the deep ocean
True Polar Wander: linking Deep and Shallow Geodynamics to Hydro-and Bio-Spheric Hypotheses
True Polar Wander: linking Deep and Shallow Geodynamics to Hydro- and Bio-Spheric Hypotheses T. D on the bulk solid Earth over longer tirnescales 565 #12;566 Linking Deep and Shallow Geodynamics to Hydro
Relevant material we learned in class... Dispersion relation of deep water waves
Budker, Dmitry
#12;#12;Outline Relevant material we learned in class... Dispersion relation of deep water waves is stationary with respect to: Time k 2 = gk #12;Deep water waves Dispersion relation Phase velocity
alkenones advected by deep waters originating from high northern latitudes is thus very unlikely.
Dunin-Borkowski, Rafal E.
alkenones advected by deep waters originating from high northern latitudes is thus very unlikely, 359 (1998). 39. C. Sonzogni et al., Deep-Sea Res. II 44, 1445 (1997). 40. F. G. Prahl, L. A
Inversion for subbottom sound velocity profiles in the deep and shallow ocean
Souza, Luiz Alberto Lopes de
2005-01-01
This thesis investigates the application of acoustic measurements in the deep and shallow ocean to infer the sound velocity profile (svp) in the seabed. For the deep water ocean, an exact method based on the Gelfand-Levitan ...
Environmental genomics reveals a single species ecosystem deep within the Earth
Chivian, Dylan
2008-01-01
ecosystem deep within the Earth Dylan Chivian 1,2 *, Eoin L.and Survival, Berkeley, CA Earth Sciences Division, Lawrenceecosystem deep within the Earth Dylan Chivian 1,2* , Eoin L.
Defensive Behaviors of Deep-sea Squids: Ink Release, Body Patterning, and Arm Autotomy
Bush, Stephanie Lynn
2009-01-01
Light production by the arm tips of the deep-sea cephalopodLight production by the arm tips of the deep-sea cephalopodMantle Up, Fins Out, Ventral Arm Curl. (B) Tail Down, Fins
Deep Blue No. 1-A Slimhole Geothermal Discovery at Blue Mountain...
Deep Blue No. 1-A Slimhole Geothermal Discovery at Blue Mountain, Humboldt County, Nevada Jump to: navigation, search OpenEI Reference LibraryAdd to library Journal Article: Deep...
Ghosts of Oceans Past: Analysis of Microfossils from Deep Sea Sediments
Perry, Regina
2009-09-30
This research focuses on the analysis of microfossils from deep-sea sediments. I am investigating a series of deep-sea sediment cores from the South Pacific. The cores are a vertical timeline of sedimentation, with each ...
Cryns, Jackson W.; Hatchell, Brian K.; Santiago-Rojas, Emiliano; Silvers, Kurt L.
2013-07-01
Formal journal article Experimental analysis of a piezoelectric energy harvesting system for harmonic, random, and sine on random vibration Abstract: Harvesting power with a piezoelectric vibration powered generator using a full-wave rectifier conditioning circuit is experimentally compared for varying sinusoidal, random and sine on random (SOR) input vibration scenarios. Additionally, the implications of source vibration characteristics on harvester design are discussed. Studies in vibration harvesting have yielded numerous alternatives for harvesting electrical energy from vibrations but piezoceramics arose as the most compact, energy dense means of energy transduction. The rise in popularity of harvesting energy from ambient vibrations has made piezoelectric generators commercially available. Much of the available literature focuses on maximizing harvested power through nonlinear processing circuits that require accurate knowledge of generator internal mechanical and electrical characteristics and idealization of the input vibration source, which cannot be assumed in general application. In this manuscript, variations in source vibration and load resistance are explored for a commercially available piezoelectric generator. We characterize the source vibration by its acceleration response for repeatability and transcription to general application. The results agree with numerical and theoretical predictions for in previous literature that load optimal resistance varies with transducer natural frequency and source type, and the findings demonstrate that significant gains are seen with lower tuned transducer natural frequencies for similar source amplitudes. Going beyond idealized steady state sinusoidal and simplified random vibration input, SOR testing allows for more accurate representation of real world ambient vibration. It is shown that characteristic interactions from more complex vibrational sources significantly alter power generation and power processing requirements by increasing harvested power, shifting optimal conditioning impedance, inducing significant voltage supply fluctuations and ultimately rendering idealized sinusoidal and random analyses insufficient.
Stochastic evolution equations with random generators
Leon, Jorge A.; Nualart, David
1998-05-01
maximal inequality for the Skorohod integral deduced from the It ˆ o’s formula for this anticipating stochastic integral. 1. Introduction. In this paper we study nonlinear stochastic evolution equations of the form X t = ? + ? t 0 #3;A#3;s#4;X s +F#3;s#7;X.... The functions F#3;s#7;?#7; x#4; and B#3;s#7;?#7; x#4; are predictable processes satisfying suitable Lipschitz–type conditions and taking values in H and L 2 #3;U#7;H#4;, respectively. We will assume that A#3;s#7;?#4; is a random family of unbounded operators...
Emergent geometry from random multitrace matrix models
B. Ydri; A. Rouag; K. Ramda
2015-09-11
A novel scenario for the emergence of geometry in random multitrace matrix models of a single hermitian matrix $M$ with unitary $U(N) $ invariance, i.e. without a kinetic term, is presented. In particular, the dimension of the emergent geometry is determined from the critical exponents of the disorder-to-uniform-ordered transition whereas the metric is determined from the Wigner semicircle law behavior of the eigenvalues distribution of the matrix $M$. If the uniform ordered phase is not sustained in the phase diagram then there is no emergent geometry in the multitrace matrix model.
Nonlinear elastic polymers in random flow
M. Martins Afonso; D. Vincenzi
2005-08-09
Polymer stretching in random smooth flows is investigated within the framework of the FENE dumbbell model. The advecting flow is Gaussian and short-correlated in time. The stationary probability density function of polymer extension is derived exactly. The characteristic time needed for the system to attain the stationary regime is computed as a function of the Weissenberg number and the maximum length of polymers. The transient relaxation to the stationary regime is predicted to be exceptionally slow in the proximity of the coil-stretch transition.
Relativistic Random Phase Approximation At Finite Temperature
Niu, Y. F.; Paar, N.; Vretenar, D.; Meng, J.
2009-08-26
The fully self-consistent finite temperature relativistic random phase approximation (FTRRPA) has been established in the single-nucleon basis of the temperature dependent Dirac-Hartree model (FTDH) based on effective Lagrangian with density dependent meson-nucleon couplings. Illustrative calculations in the FTRRPA framework show the evolution of multipole responses of {sup 132}Sn with temperature. With increased temperature, in both monopole and dipole strength distributions additional transitions appear in the low energy region due to the new opened particle-particle and hole-hole transition channels.
Open quantum systems and Random Matrix Theory
Declan Mulhall
2015-01-09
A simple model for open quantum systems is analyzed with Random Matrix Theory. The system is coupled to the continuum in a minimal way. In this paper we see the effect of opening the system on the level statistics, in particular the $\\Delta_3(L)$ statistic, width distribution and level spacing are examined as a function of the strength of this coupling. A super-radiant transition is observed, and it is seen that as it is formed, the level spacing and $\\Delta_3(L)$ statistic exhibit the signatures of missed levels.
Deep Shot: A Framework for Migrating Tasks Across Devices Using Mobile Phone Cameras
Cortes, Corinna
Deep Shot: A Framework for Migrating Tasks Across Devices Using Mobile Phone Cameras Tsung migrate their tasks across devices. To address this problem, we created Deep Shot, a framework) and resuming it on a different device. In particular, Deep Shot supports two novel and intuitive interaction
Deep seafloor arrivals in long range ocean acoustic propagation Ralph A. Stephena)
Frandsen, Jannette B.
Deep seafloor arrivals in long range ocean acoustic propagation Ralph A. Stephena) and S. Thompson by ocean acoustic propagation models. These "deep seafloor" arrivals are the largest amplitude arrivals) deep seafloor arrivals correspond to the sea surface reflec- tion of an out-of-plane diffraction from
Deep convection and brine rejection in the Japan Sea Lynne D. Talley
Talley, Lynne D.
Deep convection and brine rejection in the Japan Sea Lynne D. Talley Scripps Institution groups. Japan Sea deep convection apparently occurs every winter, but massive renewal of bottom waters. Salyuk, P. Tishchenko, I. Zhabin, and S. Riser, Deep convection and brine rejection in the Japan Sea
Deep Meridional Overturning Circulation in the Indian Ocean and Its Relation to Indian Ocean Dipole
Deep Meridional Overturning Circulation in the Indian Ocean and Its Relation to Indian Ocean Dipole of the Ocean (GECCO) syn- thesis data to analyze and examine the relationship of the Indian Ocean deep within the zonal band of 108 on both sides of the equator. Therefore, there exists a surface to deep
Deep NearInfrared Imaging with the Keck Matthew A. Bershady 12
Bershady, Matthew A.
Deep NearÂInfrared Imaging with the Keck Telescope Matthew A. Bershady 12 1 Penn State University of faint field galaxies in deep J and K band images from the Keck Telescope in several fields at high step in probing the galaxy distribution at high redshift. Deep nearÂinfrared images offer a special
Crawling Deep Web Using a New Set Covering , Jianguo Lu12
Lu, Jianguo
Crawling Deep Web Using a New Set Covering Algorithm Yan Wang1 , Jianguo Lu12 , and Jessica Chen1 1,jlu,xjchen}@uwindsor.ca 2 Key Lab of Novel Software Technology, Nanjing, China. Abstract. Crawling the deep web often studied. The conventional set cov- ering algorithms, however, do not work well when applied to deep web
Google's Deep-Web Crawl Jayant Madhavan David Ko Lucja Kot
Google's Deep-Web Crawl Jayant Madhavan David Ko Lucja Kot Google Inc. Google Inc. Cornell@cs.ucsd.edu halevy@google.com ABSTRACT The Deep Web, i.e., content hidden behind HTML forms, has long been of the structured data on the Web, accessing Deep-Web content has been a long-standing challenge for the database
Carin, Lawrence
Learning Deep Sigmoid Belief Networks with Data Augmentation Zhe Gan Ricardo Henao David Carlson Abstract Deep directed generative models are devel- oped. The multi-layered model is designed by stacking available datasets: MNIST, Caltech 101 Silhouettes and OCR letters. 1 Introduction The Deep Belief Network
Deep Illumination Angular Domain Imaging within Highly Scattering Media Enhanced by Image Processing
Chapman, Glenn H.
Deep Illumination Angular Domain Imaging within Highly Scattering Media Enhanced by Image Science, Simon Fraser University, 8888 University Drive, Burnaby, BC, V5A 1S6, Canada ABSTRACT Deep the scattered light created by a laser source aimed deep beneath the turbid medium surface. As this source light
DEEP-SEA COR AL ECOSYSTEMS OF THE UNITED STATES FEATURE ARTICLE 3
77 DEEP-SEA COR AL ECOSYSTEMS OF THE UNITED STATES FEATURE ARTICLE 3 INTRODUCTION Coral reefs- ties are structured by deep-sea corals, also referred to as cold-water corals, and are distributed the last decade has revolution- ized our understanding of these deep-sea coral ecosystems and spurred calls
DEEP CASES FOR ADVERBIAL AND PREPOSITIOI~AL PHRASES Lieven Jaspaert
DEEP CASES FOR ADVERBIAL AND PREPOSITIOI~AL PHRASES Lieven Jaspaert Section of Applied Linguistics. We hope to point out, furthermore, the desirability of incorporating deep case in- formation of the issues in the following paragraphs. 2. Surface cases, deep cases and conceptual caqes A much debated
Deep web search: an overview and roadmap K. Tjin-Kam-Jet
Theune, Mariët
1 Deep web search: an overview and roadmap K. Tjin-Kam-Jet University of Twente, Enschede@ewi.utwente.nl Abstract: We review the state-of-the-art in deep web search and propose a novel classification scheme to better compare deep web search systems. The current binary classification (surfacing versus virtual
THE DEEP ATLANTIC OCEAN Lisa A. LEVIN and Andrew J. GOODAY
Levin, Lisa
Chapter 5 THE DEEP ATLANTIC OCEAN Lisa A. LEVIN and Andrew J. GOODAY INTRODUCTION The Atlantic are covered in Chapter 4 of this volume. Following a description of the environment of the deep Atlantic influences the movement of surface currents (Longhurst, 1998) and, ultimately, the nature of the deep
DEEP: Pre-DEIMOS Surveys to I 24 of Galaxy Evolution and Kinematics
DEEP: Pre-DEIMOS Surveys to I #24; 24 of Galaxy Evolution and Kinematics David C. Koo UCO Abstract. DEEP is a two-phase program designed to undertake spectroscopic sur- veys of faint #12;eld and distribution of dark matter and cosmology. DEEP is distinguished by securing spectra of suÃ?cient quality
DEEP NEURAL NETWORKS FOR SMALL FOOTPRINT TEXT-DEPENDENT SPEAKER VERIFICATION
Cortes, Corinna
DEEP NEURAL NETWORKS FOR SMALL FOOTPRINT TEXT-DEPENDENT SPEAKER VERIFICATION Ehsan Variani1 , Xin the use of deep neural networks (DNNs) for a small footprint text-dependent speaker verification task% relative in equal error rate (EER) for clean and noisy conditions respectively. Index Terms-- Deep neural
Deep learning with non-medical training used for chest pathology identification
Wolf, Lior
Deep learning with non-medical training used for chest pathology identification Yaniv Bar1 , Idit, Israel ABSTRACT In this work, we examine the strength of deep learning approaches for pathology detection in chest radiograph data. Convolutional neural networks (CNN) deep architecture classification approaches
Deep in a star forming region with the VLT: looking for subJupiter mass objects
ComerÃ³n, Fernando
Deep in a star forming region with the VLT: looking for subÂJupiter mass objects F. Comer in star forming regions should have masses in the JupiterÂSaturn range and could be detectable in deep their existence and to test the input physics and chemistry of the models. Here I report on a deep JHK survey
Deep Representation Learning with Target Coding , Ping Luo2,1
Huang, Jianwei
Deep Representation Learning with Target Coding Shuo Yang1 , Ping Luo2,1 , Chen Change Loy1 consider the problem of learning deep represen- tation when target labels are available. In this paper, we in deep networks. Specifically, we found that distributed binary code with error correcting capability
Deep Hydrodesulfurization in Homogeneous Solution: Access to a Transition-Metal Insertion Complex of
Jones, William D.
Deep Hydrodesulfurization in Homogeneous Solution: Access to a Transition-Metal Insertion Complex has been focused on the problems of "deep" hydrodesulfurization (HDS) or production of gas oils is to find more active catalysts for deep HDS, and this challenge can be stated without much
The FORS Deep Field Jochen Heidt 1 , Immo Appenzeller 1 , Ralf Bender 2 , Asmus Bhm 3 ,
Saglia, Roberto P.
The FORS Deep Field Jochen Heidt 1 , Immo Appenzeller 1 , Ralf Bender 2 , Asmus BÃ¶hm 3 , Nive Drory fraction of its guaranteed time, the FORS consor- tium established a FORS Deep Field which contains a known of the largest deep #28;elds up to date to investigate i) galaxy evolution in the #28;eld from present up to z
ViDE: A Vision-Based Approach for Deep Web Data Extraction
Meng, Weiyi
ViDE: A Vision-Based Approach for Deep Web Data Extraction Wei Liu, Xiaofeng Meng, Member, IEEE, and Weiyi Meng, Member, IEEE Abstract--Deep Web contents are accessed by queries submitted to Web databases and the returned data records are enwrapped in dynamically generated Web pages (they will be called deep Web pages
Gilli, Adrian
of an International Continental Scientific Drilling Program project. The sediment records from deep water consist, overlain by deep-water clays, suggest a lake level rise and subsequent stabilization at high stage. From caLate Quaternary palaeoenvironment of northern Guatemala: evidence from deep drill cores and seismic
Wang, Bin
of water vapor maxima near the bottom of TTL are located directly above the deep convection centersGeographical distribution and interseasonal variability of tropical deep convection: UARS MLS December 2003; published 13 February 2004. [1] Tropical deep convection and its dynamical effect
Under consideration for publication in J. Fluid Mech. 1 Splashing from drop impact into a deep
Deegan, Robert
Under consideration for publication in J. Fluid Mech. 1 Splashing from drop impact into a deep pool of a drop with a deep pool of the same liquid. We show that a scaling which relies entirely on liquid: normal incidence of a single spherical drop onto a deep pool of the same liquid. That there is more than
Robotic Tools for Deep Water Archaeology: Surveying an Ancient Shipwreck with an Autonomous
Eustice, Ryan
Robotic Tools for Deep Water Archaeology: Surveying an Ancient Shipwreck with an Autonomous AUV technology for deep water archaeology and describe how our team addressed these challenges during the Chios expe- dition. After identifying the state-of-the-art in robotic tools for deep water archaeology
Frandsen, Jannette B.
The North Pacific Acoustic Laboratory deep-water acoustic propagation experiments in the Philippine in the Philippine Sea during 20092011 investigated deep-water acoustic propagation and ambient noise of spanning the water column in the deep ocean. The acoustic transmissions and ambient noise were also
Final Independent External Peer Review Report Sacramento River Deep Water Ship Channel,
US Army Corps of Engineers
Final Independent External Peer Review Report Sacramento River Deep Water Ship Channel, California Institute Prepared for Department of the Army U.S. Army Corps of Engineers Deep Draft Navigation Planning Peer Review Report of the Sacramento River Deep Water Ship Channel, California Limited Reevaluation
High Resolution Optical Imaging for Deep Water Archaeology Hanumant Singh1
Eustice, Ryan
High Resolution Optical Imaging for Deep Water Archaeology Hanumant Singh1 , Christopher Roman1 Abstract High resolution imaging in the context of deep water archaeology presents some unique challenges and in combination with a particular emphasis on the applications for deep water archaeology. If we consider optical
n commenting on the recent chess match between Garry Kasparov and Deep Blue, IBM
Munakata, Toshinori
OnSite Viewpoint n commenting on the recent chess match between Garry Kasparov and Deep Blue, IBM literature even proclaimed, "The power behind Deep Blue is an IBM RS/6000 SP sys- tem finely tuned a somewhat different view of Deep Blue's prowess and its implica- tions for computing in general and AI
Influence of bacterial uptake on deep-ocean dissolved organic Jrgen Bendtsen and Claus Lundsgaard
loop in the aphotic zone based on new measurements of deep ocean bacterial metabolism. These together ocean circulation, we show that the observed gradient of DOC in the deep North Atlantic can be explained by the temperature dependence of bacterial metabolic activity in conjunction with the formation of deep-water at high
Query Planning for Searching Inter-Dependent Deep-web Databases
Agrawal, Gagan
Query Planning for Searching Inter-Dependent Deep-web Databases Fan Wang1 , Gagan Agrawal1 query forms, thus forming what is referred to as the deep web. It is de- sirable to have systems data retrieval from the deep web. However, such systems need to address the following challenges. First
Understanding Deep Web Search Interfaces: A Survey Ritu Khare Yuan An Il-Yeol Song
Song, Il-Yeol
Understanding Deep Web Search Interfaces: A Survey Ritu Khare Yuan An Il-Yeol Song The i presents a survey on the major approaches to search interface understanding. The Deep Web consists of data of Deep Web. Automatic access to these data requires an automatic understanding of search interfaces
QA-Pagelet: Data Preparation Techniques for Large Scale Data Analysis of the Deep Web
Liu, Ling
1 QA-Pagelet: Data Preparation Techniques for Large Scale Data Analysis of the Deep Web James data preparation technique for large scale data analysis of the Deep Web. To support QA the Deep Web. Two unique features of the Thor framework are (1) the novel page clustering for grouping
Exploiting the Deep Web with DynaBot: Matching, Probing, and Ranking
Caverlee, James
Exploiting the Deep Web with DynaBot: Matching, Probing, and Ranking Daniel Rocco University, CA, USA critchlow1@llnl.gov ABSTRACT We present the design of Dynabot, a guided Deep Web discovery system. Dynabot's modular architecture sup- ports focused crawling of the Deep Web with an empha- sis
Shamos, Michael I.
Efficient Deep Web Crawling Using Reinforcement Learning Lu Jiang, Zhaohui Wu, Qian Feng, Jun Liu@mail.xjtu.edu.cn, qhzheng@mail.xjtu.edu.cn Abstract. Deep web refers to the hidden part of the Web that remains unavailable for standard Web crawlers. To obtain content of Deep Web is challenging and has been acknowledged
Agreement Based Source Selection for the Multi-Topic Deep Web Integration
Kambhampati, Subbarao
Agreement Based Source Selection for the Multi-Topic Deep Web Integration Manishkumar Jha #1 ,Raju USA 85287 {1 mjha1,2 rajub,3 rao}@asu.edu Abstract One immediate challenge in searching the deep web. For open collections like the deep web, the source se- lection must be sensitive to trustworthiness
Probe, Cluster, and Discover: Focused Extraction of QA-Pagelets from the Deep Web
Liu, Ling
Probe, Cluster, and Discover: Focused Extraction of QA-Pagelets from the Deep Web James Caverlee mining system for discovering and extracting QA- Pagelets from the Deep Web. A unique feature of THOR is its two-phase extraction framework. In the first phase, pages from a deep web site are grouped
A Holistic Solution for Duplicate Entity Identification in Deep Web Data Integration
A Holistic Solution for Duplicate Entity Identification in Deep Web Data Integration Wei Liu 1 in deep Web data integration, the goal of duplicate entity identification is to discover the duplicate to deep Web data integration systems. That is, one duplicate entity matcher trained over two specific Web
Ranking Bias in Deep Web Size Estimation Using Capture Recapture Method
Lu, Jianguo
Ranking Bias in Deep Web Size Estimation Using Capture Recapture Method Jianguo Lu Preprint submitted to Elsevier March 12, 2010 #12;Ranking Bias in Deep Web Size Estimation Using Capture Recapture, Canada. email: jlu@uwindsor.ca Abstract Many deep web data sources are ranked data sources, i
Dealing with the Deep Web and all its Quirks Meghyn Bienvenu
Senellart, Pierre
Dealing with the Deep Web and all its Quirks Meghyn Bienvenu CNRS; Universit´e Paris-Sud meghyn harvest, query, or combine Deep Web sources. Yet, in addition to well-studied aspects of the problem such as query answering using views, access limitations, or top-k querying, the Deep Web exhibits a number
QA-Pagelet: Data Preparation Techniques for Large-Scale Data Analysis of the Deep Web
Caverlee, James
QA-Pagelet: Data Preparation Techniques for Large-Scale Data Analysis of the Deep Web James the QA-Pagelet as a fundamental data preparation technique for large-scale data analysis of the Deep Web-Pagelets from the Deep Web. Two unique features of the Thor framework are 1) the novel page clustering
Exploiting Parallelism to Accelerate Keyword Search On Deep-web Sources
Agrawal, Gagan
Exploiting Parallelism to Accelerate Keyword Search On Deep-web Sources Tantan Liu Fan Wang Gagan,wangfa,agrawal}@cse.ohio-state.edu Abstract. Increasingly, biological data is being shared over the deep web. Many biological queries can only that exploits parallelization for accelerating search over multiple deep web data sources. An interactive, two
Learning Deep Web Crawling with Diverse Features Lu Jiang, Zhaohui Wu, Qinghua Zheng and Jun Liu
Shamos, Michael I.
Learning Deep Web Crawling with Diverse Features Lu Jiang, Zhaohui Wu, Qinghua Zheng and Jun Liu@yahoo.com, wzh@stu.xjtu.edu.cn, qhzheng@mail.xjtu.edu.cn, liukeen@mail.xjtu.edu.cn Abstract--The key to Deep Web crawling is to submit promising keywords to query form and retrieve Deep Web content efficiently. To select
TS-IDS Algorithm For Query Selection in the Deep Web Crawling
Lu, Jianguo
TS-IDS Algorithm For Query Selection in the Deep Web Crawling Yan Wang1 , Jianguo Lu2 , and Jessica. The deep web crawling is the process of collecting data items inside a data source hidden behind searchable of documents and terms involved, calls for new approximation algorithms for efficient deep web data crawling
Host-IP Clustering Technique for Deep Web Characterization Denis Shestakov
Hammerton, James
Host-IP Clustering Technique for Deep Web Characterization Denis Shestakov Department of Media databases. This part of the Web, known as the deep Web, is to date relatively unexplored and even major are aimed at more accurate estimation of main parameters of the deep Web by sampling one national web domain
Query Planning for Searching Inter-dependent Deep-Web Databases
Jin, Ruoming
Query Planning for Searching Inter-dependent Deep-Web Databases Fan Wang1 , Gagan Agrawal1 query forms, thus forming what is referred to as the deep web. It is de- sirable to have systems data retrieval from the deep web. However, such systems need to address the following challenges. First
SEEDEEP: A System for Exploring and Querying Scientific Deep Web Data Sources
Agrawal, Gagan
SEEDEEP: A System for Exploring and Querying Scientific Deep Web Data Sources Fan Wang Gagan that are hidden behind query forms, thus forming what is re- ferred to as the deep web. In this paper, we propose SEEDEEP, a System for Exploring and quErying scientific DEEP web data sources. SEEDEEP is able
AN UNRECOGNIZED ANCIENT LINEAGE OF GREEN PLANTS PERSISTS IN DEEP MARINE WATERS1
AN UNRECOGNIZED ANCIENT LINEAGE OF GREEN PLANTS PERSISTS IN DEEP MARINE WATERS1 Frederick W persist in deep waters, where grazing pressure and competition for space are reduced. Their distinctnessRNA gene and two chloroplast genes (atpB and rbcL) are in agree- ment with a deep-branching Palmophyllales
EARTH'S DEEP WATER CYCLE Steven D. Jacobsen and Suzan van der Lee
van der Lee, Suzan
CONTENTS EARTH'S DEEP WATER CYCLE Preface Steven D. Jacobsen and Suzan van der Lee I. Overviews Nominally Anhydrous Minerals and Earth's Deep Water Cycle Joseph R. Smyth and Steven D. Jacobsen Seismological Constraints on Earth's Deep Water Cycle Suzan van der Lee and Doug Wiens II. Water Storage
Response of the Greenland-Scotland overflow to changing deep water supply from the Arctic to changes in the available volume of deep and intermediate waters in the Nordic Seas. Hydraulic control sensitive to changes in the deep water supply than that of the Faeroe-Bank Channel, but no sudden breakdown
Evolution of the Deep and Bottom Waters of the Scotia Sea, Southern Ocean, during 19952005*
Naveira Garabato, Alberto
Evolution of the Deep and Bottom Waters of the Scotia Sea, Southern Ocean, during 1995. The volume of deep waters with potential temperature less than 0°C decreased during 19952005, though. These changes are best explained by interannual variations in the deep waters exiting the Weddell Sea
Remote Camera and Trapping Survey of the Deep-water Shrimps Heterocarpus laevigatus and
Remote Camera and Trapping Survey of the Deep-water Shrimps Heterocarpus laevigatus and H. ensifer and the Geryonid Crab Chaceon granulatus in Palau W. B. SAUNDERS and LEE C. HASTIE Introduction Deep-water bottom pilot efforts di rected at evaluating economic poten tial of deep-water shrimps (King, 1980, 1982, 1984
Intermediate and deep water formation in the Okinawa Trough Hirohiko Nakamura,1
Rhode Island, University of
Intermediate and deep water formation in the Okinawa Trough Hirohiko Nakamura,1 Ayako Nishina,1-diffusion equation. On the other hand, deep water in the Okinawa Trough, below the sill depth of the Kerama Gap be maintained by buoyancy gain of the deep water due to strong diapycnal diffusion (4.89.5 3 1024 m2 s21
Short Paper: OFDM in Deep Water Acoustic Channels with Extremely Long Delay Spread
Zhou, Shengli
Short Paper: OFDM in Deep Water Acoustic Channels with Extremely Long Delay Spread Zhaohui Wang ABSTRACT Deep water horizontal channels usually have very long de- lay spreads relative to shallow water-block-interference (IBI) in the received signals. In this paper, we consider the application of ZP-OFDM in deep water
Kinematics of extreme waves in deep water John Grue*, Didier Clamond, Morten Huseby, Atle Jensen
Clamond, Didier
Kinematics of extreme waves in deep water John Grue*, Didier Clamond, Morten Huseby, Atle Jensen fluid velocity, e ffiffiffiffi g=k p is then defined. Deep water waves with a fluid velocity up to 75 2004 Abstract The velocity profiles under crest of a total of 62 different steep wave events in deep
Three times geologist Adam Soule has climbed inside the deep-diving
Oppo, Delia W.
as the sub dives deeper. Deep-sea engineers often make crew compartments spherical. Because a sphere hasThree times geologist Adam Soule has climbed inside the deep-diving submersible Alvin and headed to the seafloor. Geochemist Susan Humphris stopped counting after 30 dives. Dan Fornari, who studies deep
Deep-sea coral aragonite as a recorder for the neodymium isotopic composition of seawater
Adkins, Jess F.
Th data, freeing radiocarbon to be used as a water-mass proxy. For certain species of deep-sea corals exploring Nd isotopes as a water-mass proxy in deep-sea coral aragonite. We investigated five different Acta 74 (2010) 60146032 #12;In contrast to tropical shallow-water corals, deep-sea corals do not rely
Suction effects in deep Boom clay block samples Pierre DELAGE 1
Boyer, Edmond
1 Suction effects in deep Boom clay block samples Pierre DELAGE 1 , Trung-Tinh LE 1 , Anh-Minh TANG located at Mol (Belgium) called Boom clay, in the context of research into deep nuclear waste disposal. Suction effects in deep Boom clay block samples were investigated through the characterisation
Steady Improved Confinement in FTU High Field Plasmas Sustained by Deep Pellet Injection
Vlad, Gregorio
Steady Improved Confinement in FTU High Field Plasmas Sustained by Deep Pellet Injection D at the maximum nominal toroidal field (8 T), and lower, by deep multiple pellet injection. These plasmas featured due to particle concentration in the well confined hot core. Deep pellet injection in Alcator C high
Steady improved confinement in FTU high field plasmas sustained by deep pellet injection
Vlad, Gregorio
Steady improved confinement in FTU high field plasmas sustained by deep pellet injection D to the maximum nominal toroidal field (8 T) by deep multiple pellet injection. These plasmas also feature high to the input power due to particle concentration in the well confined hot core. Deep pellet injection (e
SOLITARY WAVE INTERACTION IN A COMPACT EQUATION FOR DEEP-WATER GRAVITY WAVES
Boyer, Edmond
SOLITARY WAVE INTERACTION IN A COMPACT EQUATION FOR DEEP-WATER GRAVITY WAVES FRANCESCO FEDELE of the Zakharov equation for unidirectional deep-water waves recently derived by Dyachenko & Zakharov [7-conserving quantities. Key words and phrases. water waves; deep water approximation; Hamiltonian structure; travelling
100 kW CC-OTEC Plant and Deep Ocean water Applications
100 kW CC-OTEC Plant and Deep Ocean water Applications in Kumejima, Okinawa, Japan Katsuya Furugen in Kumejima (Okinawa) Okinawa Prefectural Deep Sea Water Research Center, since 2000 OTEC Demonstration. / 1st Power Generation Test Succeeded Surface Water: 23.5 oC, 330t/h Deep Water: 9.3 oC, 250t/h Power
Warren revisited: Atmospheric freshwater fluxes and ``Why is no deep water formed in
van Geen, Alexander
Warren revisited: Atmospheric freshwater fluxes and ``Why is no deep water formed in the North December 2002; accepted 4 March 2003; published 5 June 2003. [1] Warren's [1983] ``Why is no deep water it is so salty, and why deep water can form there and not in the North Pacific. INDEX TERMS: 4532
Diversity of deep-water cetaceans in relation to temperature: implications for ocean warming
Myers, Ransom A.
LETTER Diversity of deep-water cetaceans in relation to temperature: implications for ocean warming anthropogenic change. Here we analyse a large, long-term data set of sightings of deep-water cetaceans from that deep-water oceanic communities that dominate > 60% of the planetÕs surface may reorganize in response
Velocities of deep water reservoir sands De-hua Han, University of Houston
Velocities of deep water reservoir sands De-hua Han, University of Houston M. Batzle, Colorado the application for DHI techniques. Summary In deep-water sedimentary processes, compaction is a major force of weakly cemented deep-water sands. Geological compaction and possible weak cementation can reduce porosity
Global temperature deviations as a random walk
Karner, O.
1996-12-31
Surface air temperature is the main parameter to represent the earth`s contemporary climate. Several historical temperature records on a global/monthly basis are available. Time-series analysis shows that they can be modelled via autoregressive moving average models closely connected to the classical random walk model. Fitted models emphasize a nonstationary character of the global/monthly temperature deviation from a certain level. The nonstationarity explains all trends and periods, found in the last century`s variability of global mean temperature. This means that the short-term temperature trends are inevitable and may have little in common with a currently increasing carbon dioxide amount. The calculations show that a reasonable understanding of the contemporary global mean climate is attainable, assuming random forcing to the climate system and treating temperature deviation as a response to it. The forcings occur due to volcanic eruptions, redistribution of cloudiness, variations in snow and ice covered areas, changes in solar output, etc. Their impact can not be directly estimated from changes of the earth`s radiation budget at the top of the atmosphere, because actual measurements represent mixture of the forcings and responses. Thus, it is impossible empirically to separate the impact of one particular forcing (e.g., that due to increase of CO{sub 2} amount) from the sequence of all existing forcings in the earth climate system. More accurate modelling involving main feedback loops is necessary to ease such a separation.
Random unitary maps for quantum state reconstruction
Merkel, Seth T. [Institute for Quantum Computing, Waterloo, Ontario N2L 3G1 (Canada); Riofrio, Carlos A.; Deutsch, Ivan H. [Center for Quantum Information and Control (CQuIC), Department of Physics and Astronomy, University of New Mexico, Albuquerque, New Mexico, 87131 (United States); Flammia, Steven T. [Perimeter Institute for Theoretical Physics, Waterloo, Ontario N2L 2Y5 (Canada); Kavli Institute for Theoretical Physics, University of California, Santa Barbara, California 93106 (United States)
2010-03-15
We study the possibility of performing quantum state reconstruction from a measurement record that is obtained as a sequence of expectation values of a Hermitian operator evolving under repeated application of a single random unitary map, U{sub 0}. We show that while this single-parameter orbit in operator space is not informationally complete, it can be used to yield surprisingly high-fidelity reconstruction. For a d-dimensional Hilbert space with the initial observable in su(d), the measurement record lacks information about a matrix subspace of dimension {>=}d-2 out of the total dimension d{sup 2}-1. We determine the conditions on U{sub 0} such that the bound is saturated, and show they are achieved by almost all pseudorandom unitary matrices. When we further impose the constraint that the physical density matrix must be positive, we obtain even higher fidelity than that predicted from the missing subspace. With prior knowledge that the state is pure, the reconstruction will be perfect (in the limit of vanishing noise) and for arbitrary mixed states, the fidelity is over 0.96, even for small d, and reaching F>0.99 for d>9. We also study the implementation of this protocol based on the relationship between random matrices and quantum chaos. We show that the Floquet operator of the quantum kicked top provides a means of generating the required type of measurement record, with implications on the relationship between quantum chaos and information gain.
Renormalized energy concentration in random matrices
Alexei Borodin; Sylvia Serfaty
2012-10-23
We define a "renormalized energy" as an explicit functional on arbitrary point configurations of constant average density in the plane and on the real line. The definition is inspired by ideas of [SS1,SS3]. Roughly speaking, it is obtained by subtracting two leading terms from the Coulomb potential on a growing number of charges. The functional is expected to be a good measure of disorder of a configuration of points. We give certain formulas for its expectation for general stationary random point processes. For the random matrix $\\beta$-sine processes on the real line (beta=1,2,4), and Ginibre point process and zeros of Gaussian analytic functions process in the plane, we compute the expectation explicitly. Moreover, we prove that for these processes the variance of the renormalized energy vanishes, which shows concentration near the expected value. We also prove that the beta=2 sine process minimizes the renormalized energy in the class of determinantal point processes with translation invariant correlation kernels.
Multidimensional Random Polymers : A Renewal Approach
Dmitry Ioffe
2014-11-30
In these lecture notes, which are based on the mini-course given at 2013 Prague School on Mathematical Statistical Physics, we discuss ballistic phase of quenched and annealed stretched polymers in random environment on ${\\mathbb Z}^d$ with an emphasis on the natural renormalized renewal structures which appear in such models. In the ballistic regime an irreducible decomposition of typical polymers leads to an effectiverandom walk reinterpretation of the latter. In the annealed casethe Ornstein-Zernike theory based on this approach paves the way to an essentially complete control on the level of local limit results and invariance principles. In the quenched case, the renewal structure maps the model of stretched polymers into an effective model of directed polymers. As a result one is able to use techniques and ideas developed in the context of directed polymers in order to address issues like strong disorder in low dimensions and weak disorder in higher dimensions. Among the topics addressed: Thermodynamics of quenched and annealed models, multi-dimensional renewal theory (under Cramer's condition), renormalization and effective random walk structure of annealed polymers, very weak disorder in dimensions $d\\geq 4$ and strong disorder in dimensions $d=1,2$.
Measuring photometric redshifts using galaxy images and Deep Neural Networks
Hoyle, Ben
2015-01-01
We propose a new method to estimate the photometric redshift of galaxies by using the full galaxy image in each measured band. This method draws from the latest techniques and advances in machine learning, in particular Deep Neural Networks. We pass the entire multi-band galaxy image into the machine learning architecture to obtain a redshift estimate that is competitive with the best existing standard machine learning techniques. The standard techniques estimate redshifts using post-processed features, such as magnitudes and colours, which are extracted from the galaxy images and are deemed to be salient by the user. This new method removes the user from the photometric redshift estimation pipeline. However we do note that Deep Neural Networks require many orders of magnitude more computing resources than standard machine learning architectures.
Method for gasification of deep, thin coal seams
Gregg, David W. (Moraga, CA)
1982-01-01
A method of gasification of coal in deep, thin seams by using controlled bending subsidence to confine gas flow to a region close to the unconsumed coal face. The injection point is moved sequentially around the perimeter of a coal removal area from a production well to sweep out the area to cause the controlled bending subsidence. The injection holes are drilled vertically into the coal seam through the overburden or horizontally into the seam from an exposed coal face. The method is particularly applicable to deep, thin seams found in the eastern United States and at abandoned strip mines where thin seams were surface mined into a hillside or down a modest dip until the overburden became too thick for further mining.
Method for gasification of deep, thin coal seams. [DOE patent
Gregg, D.W.
1980-08-29
A method of gasification of coal in deep, thin seams by using controlled bending subsidence to confine gas flow to a region close to the unconsumed coal face is given. The injection point is moved sequentially around the perimeter of a coal removal area from a production well to sweep out the area to cause the controlled bending subsidence. The injection holes are drilled vertically into the coal seam through the overburden or horizontally into the seam from an exposed coal face. The method is particularly applicable to deep, thin seams found in the eastern United States and at abandoned strip mines where thin seams were surface mined into a hillside or down a modest dip until the overburden became too thick for further mining.
Power Corrections and Renormalons in Deep Inelastic Structure Functions
M. Dasgupta; B. R. Webber
1996-04-23
We study the power corrections (infrared renormalon contributions) to the coefficient functions for non-singlet deep inelastic structure functions due to gluon vacuum polarization insertions in one-loop graphs. Remarkably, for all the structure functions $F_1$, $F_2$, $F_3$ and $g_1$, there are only two such contributions, corresponding to $1/Q^2$ and $1/Q^4$ power corrections. We compute their dependence on Bjorken $x$. The results could be used to model the dominant higher-twist contributions.
Next Step Toward Widespread Residential Deep Energy Retrofits
McIlvaine, J.; Saunders, S.; Bordelon, E.; Baden, S.; Elam, L.; Martin, E.
2013-07-01
The complexity of deep energy retrofits warrants additional training to successfully manage multiple improvements that will change whole house air, heat, and moisture flow dynamics. The home performance contracting industry has responded to these challenges by aggregating skilled labor for assessment of and implementation under one umbrella. Two emerging business models are profiled that seek to resolve many of the challenges, weaknesses, opportunities, and threats described for the conventional business models.
The Next Step Toward Widespread Residential Deep Energy Retrofits
McIlvaine, J.; Martin, E.; Saunders, S.; Bordelon, E.; Baden, S.; Elam, L.
2013-07-01
The complexity of deep energy retrofits warrants additional training to successfully manage multiple improvements that will change whole house air, heat, and moisture flow dynamics. The home performance contracting industry has responded to these challenges by aggregating skilled labor for assessment of and implementation under one umbrella. Two emerging business models are profiled that seek to resolve many of the challenges, weaknesses, opportunities, and threats described for the conventional business models.
Deep inelastic events containing two forward jets at HERA
J. Kwiecinski; C. A. M. Lewis; A. D. Martin
1997-07-17
We use the BFKL equation to calculate the rate of deep inelastic scattering events containing two forward jets (adjacent to the proton remnants) at HERA. We compare the production of two forward jets with that of only one forward jet (the "Mueller" process). We obtain a stable prediction for this two to one jet ratio, which may serve as a measure of the BFKL vertex function.
DeepStar evaluation of subsea trees and manifold concepts
Kirkland, K.G.; Richardson, E.M.; Hey, C.
1996-12-31
This paper reviews the results of a study performed for the DeepStar Project, CTR A802-2, Concept Study and Investigation of Key Areas of Interest for Subsea Systems in Deepwater. The report documents the results of a study of subsea manifold systems as applied to the deepwater Gulf of Mexico. Of particular interest is the development of a range of system level philosophies based on recent and ongoing experience from the operators and vendors.
Deep drilling phase of the Pen Brand Fault Program
Stieve, A.
1991-05-15
This deep drilling activity is one element of the Pen Branch Fault Program at Savannah River Site (SRS). The effort will consist of three tasks: the extension of wells PBF-7 and PBF-8 into crystalline basement, geologic and drilling oversight during drilling operations, and the lithologic description and analysis of the recovered core. The drilling program addresses the association of the Pen Branch fault with order fault systems such as the fault that formed the Bunbarton basin in the Triassic.
Radio Properties of EROs in the Phoenix Deep Survey
J. Afonso; A. M. Hopkins; M. Sullivan; B. Mobasher; A. Georgakakis; L. E. Cram
2003-12-04
Insensitive to dust obscuration, radio wavelengths are ideal to study star-forming galaxies free of dust induced biases. Using data from the Phoenix Deep Survey, we have identified a sample of star-forming extremely red objects (EROs). Stacking of the radio images of the radio-undetected star-forming EROs revealed a significant radio detection. Using the expected median redshift, we estimate an average star-formation rate of 61 M_sun/yr for these galaxies.
Energy Department Explores Deep Direct Use | Department of Energy
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels DataEnergyInformation Form EmployeeAvailableExplores Deep Direct Use Energy
Deep meridional circulation below the solar convective envelope
K. M. Hiremath
2008-03-08
With reasonable assumptions and approximations, we compute the velocity of the meridional flow $U$ in the convective envelope by modified Chandrasekhar's (1956) MHD equations. The analytical solution of such a modified equation is found to be $U(x,\\mu) = \\sum_{n=0}^\\infty \\bigl[u1_n x^n + u2_n x^{-(n+3)}\\bigr] C_n^{3/2}(\\mu)$, where $x$ is non-dimensional radius, $\\mu = cos{\\vartheta}$, ${\\vartheta}$ is the co-latitude, $C_n^{3/2} {(\\mu)}$ are the Gegenbaur polynomials of order 3/2, $u1_n$ and $u2_n$ are the unknown constants. The results show that meridional velocity flow from the surface appears to penetrates deep below base of the convective envelope and at outer part of the radiative zone. With such a deep flow velocity below the convective envelope and a very high density stratification in the outer part of the radiative zone with likely existence of a strong ($\\sim$ $10^{4}$ G) toroidal magnetic field structure, the velocity of transport of meridional flow is considerably reduced. Hence, it is very unlikely that the return flow will reach the surface (with a period of solar cycle) as required by some of the flux transport dynamo models. On the other hand, deep meridional flow is required for burning of Lithium at outer part of the radiative zone supporting the observed Lithium deficiency at the surface.
The deep hydrogeologic flow system underlying the Oak Ridge Reservation
Nativ, R.; Hunley, A.E.
1993-07-01
The deep hydrogeologic system underlying the Oak Ridge Reservation contains some areas contaminated with radionuclides, heavy metals, nitrates, and organic compounds. The groundwater at that depth is saline and has previously been considered stagnant. On the basis of existing and newly collected data, the nature of flow of the saline groundwater and its potential discharge into shallow, freshwater systems was assessed. Data used for this purpose included (1) spatial and temporal pressures and hydraulic heads measured in the deep system, (2) hydraulic parameters of the formations in question, (3) spatial temperature variations, and (4) spatial and temporal chemical and isotopic composition of the saline groundwater. In addition, chemical analyses of brine in adjacent areas in Tennessee, Kentucky, Ohio, Pennsylvania, and West Virginia were compared with the deep water underlying the reservation to help assess the origin of the brine. Preliminary conclusions suggest that the saline water contained at depth is old but not isolated (in terms of recharge and discharge) from the overlying active and freshwater-bearing units. The confined water (along with dissolved solutes) moves along open fractures (or man-made shortcuts) at relatively high velocity into adjacent, more permeable units. Groundwater volumes involved in this flow probably are small.
The Phoenix Deep Survey: Optical and near infrared imaging catalogs
Mark Sullivan; Andrew Hopkins; Jose Afonso; Antonis Georgakakis; Ben Chan; Lawrence Cram; Bahram Mobasher; Cesario Almeida
2004-11-19
The Phoenix Deep Survey is a multi-wavelength galaxy survey based on deep 1.4 GHz radio imaging (Hopkins et al., 2003). The primary goal of this survey is to investigate the properties of star formation in galaxies and to trace the evolution in those properties to a redshift z=1, covering a significant fraction of the age of the Universe. By compiling a sample of star-forming galaxies based on selection at radio wavelengths we eliminate possible biases due to dust obscuration, a significant issue when selecting objects at optical and ultraviolet wavelengths. In this paper, we present the catalogs and results of deep optical (UBVRI) and near-infrared (Ks) imaging of the deepest region of the existing decimetric radio imaging. The observations and data-processing are summarised and the construction of the optical source catalogs described, together with the details of the identification of candidate optical counterparts to the radio catalogs. Based on our UBVRIKs imaging, photometric redshift estimates for the optical counterparts to the radio detections are explored.
Hydrodynamical random walker with chemotactic memory
H. Mohammady; B. Esckandariun; A. Najafi
2014-10-01
A three-dimensional hydrodynamical model for a micro random walker is combined with the idea of chemotactic signaling network of E. coli. Diffusion exponents, orientational correlation functions and their dependence on the geometrical and dynamical parameters of the system are analyzed numerically. Because of the chemotactic memory, the walker shows superdiffusing displacements in all directions with the largest diffusion exponent for a direction along the food gradient. Mean square displacements and orientational correlation functions show that the chemotactic memory washes out all the signatures due to the geometrical asymmetry of the walker and statistical properties are asymmetric only with respect to the direction of food gradient. For different values of the memory time, the Chemotactic index (CI) is also calculated.
Fresh look at randomly branched polymers
Hans-Karl Janssen; Olaf Stenull
2009-11-09
We develop a new, dynamical field theory of isotropic randomly branched polymers, and we use this model in conjunction with the renormalization group (RG) to study several prominent problems in the physics of these polymers. Our model provides an alternative vantage point to understand the swollen phase via dimensional reduction. We reveal a hidden Becchi-Rouet-Stora (BRS) symmetry of the model that describes the collapse ($\\theta$-)transition to compact polymer-conformations, and calculate the critical exponents to 2-loop order. It turns out that the long-standing 1-loop results for these exponents are not entirely correct. A runaway of the RG flow indicates that the so-called $\\theta^\\prime$-transition could be a fluctuation induced first order transition.
Transition to chaos in random neuronal networks
Jonathan Kadmon; Haim Sompolinsky
2015-08-26
Firing patterns in the central nervous system often exhibit strong temporal irregularity and heterogeneity in their time averaged response properties. Previous studies suggested that these properties are outcome of an intrinsic chaotic dynamics. Indeed, simplified rate-based large neuronal networks with random synaptic connections are known to exhibit sharp transition from fixed point to chaotic dynamics when the synaptic gain is increased. However, the existence of a similar transition in neuronal circuit models with more realistic architectures and firing dynamics has not been established. In this work we investigate rate based dynamics of neuronal circuits composed of several subpopulations and random connectivity. Nonzero connections are either positive-for excitatory neurons, or negative for inhibitory ones, while single neuron output is strictly positive; in line with known constraints in many biological systems. Using Dynamic Mean Field Theory, we find the phase diagram depicting the regimes of stable fixed point, unstable dynamic and chaotic rate fluctuations. We characterize the properties of systems near the chaotic transition and show that dilute excitatory-inhibitory architectures exhibit the same onset to chaos as a network with Gaussian connectivity. Interestingly, the critical properties near transition depend on the shape of the single- neuron input-output transfer function near firing threshold. Finally, we investigate network models with spiking dynamics. When synaptic time constants are slow relative to the mean inverse firing rates, the network undergoes a sharp transition from fast spiking fluctuations and static firing rates to a state with slow chaotic rate fluctuations. When the synaptic time constants are finite, the transition becomes smooth and obeys scaling properties, similar to crossover phenomena in statistical mechanics
The Echo Distributed File System Andrew D. Birrell, Andy Hisgen, Chuck Jerian,
Chin, Shiu-Kai
. All rights reserved. #12;The Echo Distributed File System · 1 WHAT AND WHY? One of the holy grails systems with the virtues of distributed and personal computer systems. This grail is all the harder to capture the file system portion of this grail. We thought of the Echo file system as a crucial first piece
Dr. Chuck Ross gives final lecture of JLab Spring Science Series...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
the Civil War. By David Macaulay, Daily Press March 28, 2008 NEWPORT NEWS - It won't be music to the ears of traditionalists, but Civil War Confederate Gen. Robert E. Lee might...
The Beef Nutrient Database Improvement Project: Retail Cuts From the Chuck
West, Sarah
2010-01-16
, and that volume was recorded. Liquid was brought to a boil, the pan was covered, and the Dutch oven was placed in a pre-heated conventional oven (120 ?C), and the samples simmered until they reached an internal temperature of 85?C. The Dutch oven was removed...
Charles "Chuck" Farrar to receive DeMichele Award
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AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room News PublicationsAudits &BradburyMayARM-0501 Marine Stratus Radiation,
Dr. Charles (Chuck) Peden | U.S. DOE Office of Science (SC)
Office of Science (SC) Website
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thIWalter H. Zinn,Christopher Fecko ChemicalDrDrDrASCR
Low energy properties of the random displacement model
Jeff Baker; Michael Loss; Günter Stolz
2008-08-05
We study low-energy properties of the random displacement model, a random Schr\\"odinger operator describing an electron in a randomly deformed lattice. All periodic displacement configurations which minimize the bottom of the spectrum are characterized. While this configuration is essentially unique for dimension greater than one, there are infinitely many different minimizing configurations in the one-dimensional case. The latter leads to unusual low energy asymptotics for the integrated density of states of the one-dimensional random displacement model. For symmetric Bernoulli-distributed displacements it has a $1/\\log^2$-singularity at the bottom of the spectrum. In particular, it is not H\\"older-continuous.
Embedding quantum and random optics in a larger field theory
Peter Morgan
2008-06-09
Introducing creation and annihilation operators for negative frequency components extends the algebra of smeared local observables of quantum optics to include an associated classical random field optics.
Random Symmetry Breaking and Freezing in Chaotic Networks
Y. Peleg; W. Kinzel; I. Kanter
2012-04-02
Parameter space of a driven damped oscillator in a double well potential presents either a chaotic trajectory with sign oscillating amplitude or a non-chaotic trajectory with a fixed sign amplitude. A network of such delay coupled damped oscillators is shown to present chaotic dynamics while the amplitude sign of each damped oscillator is randomly frozen. This phenomenon of random broken global symmetry of the network simultaneously with random freezing of each degree of freedom is accompanied by the existence of exponentially many randomly frozen chaotic attractors with the ize of the network. Results are exemplified by a network of modified Duffing oscillators with infinite ange pseudo-inverse delayed interactions.
18.440 Probability and Random Variables, Spring 2011
Sheffield, Scott
This course introduces students to probability and random variables. Topics include distribution functions, binomial, geometric, hypergeometric, and Poisson distributions. The other topics covered are uniform, exponential, ...
The random Schrödinger equation: homogenization in time-dependent potentials
Yu Gu; Lenya Ryzhik
2015-06-08
We analyze the solutions of the Schr\\"odinger equation with the low frequency initial data and a time-dependent weakly random potential. We prove a homogenization result for the low frequency component of the wave field. We also show that the dynamics generates a non-trivial energy in the high frequencies, which do not homogenize -- the high frequency component of the wave field remains random and the evolution of its energy is described by a kinetic equation. The transition from the homogenization of the low frequencies to the random limit of the high frequencies is illustrated by understanding the size of the small random fluctuations of the low frequency component.
18.366 Random Walks and Diffusion, Spring 2003
Bazant, Martin Z.
Discrete and continuum modeling of diffusion processes in physics, chemistry, and economics. Topics include central limit theorems, continuous-time random walks, Levy flights, correlations, extreme events, mixing, ...
18.366 Random Walks and Diffusion, Spring 2005
Bazant, Martin Z.
Discrete and continuum modeling of diffusion processes in physics, chemistry, and economics. Topics include central limit theorems, continuous-time random walks, Levy flights, correlations, extreme events, mixing, ...
18.440 Probability and Random Variables, Spring 2009
Dudley, Richard
This course introduces students to probability and random variables. Topics include distribution functions, binomial, geometric, hypergeometric, and Poisson distributions. The other topics covered are uniform, exponential, ...
Stress Tensor for Quantized Random Field and Wave Function Collapse
Philip Pearle
2008-08-13
The continuous spontaneous localization (CSL) theory of dynamical wave function collapse is an experimentally testable alternative to non-relativistic quantum mechanics. In it, collapse occurs because particles interact with a classical random field. However, particles gain energy from this field, i.e., particle energy is not conserved. Recently, it has been shown how to construct a theory dubbed "completely quantized collapse" (CQC) which is predictively equivalent to CSL. In CQC, a quantized random field is introduced, and CSL's classical random field becomes its eigenvalue. In CQC, energy is conserved, which allows one to understand that energy is conserved in CSL, as the particle's energy gain is compensated by the random field's energy loss. Since the random field has energy, it should have gravitational consequences. For that, one needs to know the random field's energy density. In this paper, it is shown how to construct a symmetric, conserved, energy-momentum-stress-density tensor associated with the quantized random field, even though this field obeys no dynamical equation and has no Lagrangian. Then, three examples are given involving the random field's energy density. One considers interacting particles, the second treats a "cosmological" particle creation model, the third involves the gravity of the random field.