Qualifying RPS State Export Markets (Mississippi)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Mississippi as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Maine)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Maine as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Montana)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Montana as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Minnesota)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Minnesota as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Nebraska)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Nebraska as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Georgia)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Georgia as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Alabama)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Alabama as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Connecticut)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Connecticut as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Arkansas)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Arkansas as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Oklahoma)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Oklahoma as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Indiana)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Indiana as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Illinois)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Illinois as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Delaware)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Delaware as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Maryland)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Maryland as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Missouri)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Missouri as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Louisiana)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Louisiana as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Pennsylvania)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Pennsylvania as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Kentucky)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Kentucky as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Massachusetts)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Massachusetts as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Kansas)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Kansas as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Michigan)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Michigan as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Rhode Island)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Rhode Island as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (South Carolina)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in South Carolina as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (New Hampshire)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in New Hampshire as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Ohio)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Ohio as eligible sources towards their RPS targets or goals. For specific information...
Qualifying RPS State Export Markets (New York)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in New York as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Iowa)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Iowa as eligible sources towards their RPS targets or goals. For specific information...
Qualifying RPS State Export Markets (New Jersey)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in New Jersey as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (West Virginia)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in West Virginia as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (New Mexico)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in New Mexico as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (North Carolina)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in North Carolina as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (North Dakota)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in North Dakota as eligible sources towards their RPS targets or goals. For specific...
Wind Complementing RPSWind Complementing RPS Michael Schilmoeller
Page 1 Wind Complementing RPSWind Complementing RPS Michael Schilmoeller for the Power Committee 830 SCCT 0 0 170 170 170 170 170 Geothermal 0 0 0 52 104 156 169 and the larger of Wind 0 0 1200 1200 and acquisition are non- decreasing RPS requirements are met Source of "greater of wind and RPS" interpretation 10
Qualifying RPS Market States (Saskatchewan, Canada)
Broader source: Energy.gov [DOE]
This entry lists the states with RPS policies that accept generation located in Saskatchewan, Canada as eligible sources towards their Renewable Portfolio Standard targets or goals. For specific...
Qualifying RPS Market States (Ontario, Canada)
Broader source: Energy.gov [DOE]
This entry lists the states with RPS policies that accept generation located in Ontario, Canada as eligible sources towards their Renewable Portfolio Standard targets or goals. For specific...
Qualifying RPS Market States (Manitoba, Canada)
Broader source: Energy.gov [DOE]
This entry lists the states with RPS policies that accept generation located in Manitoba, Canada as eligible sources towards their Renewable Portfolio Standard targets or goals. For specific...
Qualifying RPS Market States (Quebec, Canada)
Broader source: Energy.gov [DOE]
This entry lists the states with RPS policies that accept generation located in Quebec, Canada as eligible sources towards their Renewable Portfolio Standard targets or goals. For specific...
Qualifying RPS Market States (New Brunswick, Canada)
Broader source: Energy.gov [DOE]
This entry lists the states with RPS policies that accept generation located in New Brunswick, Canada as eligible sources towards their Renewable Portfolio Standard targets or goals. For specific...
Qualifying RPS Market States (Nova Scotia, Canada)
Broader source: Energy.gov [DOE]
This entry lists the states with RPS policies that accept generation located in Nova Scotia, Canada as eligible sources towards their Renewable Portfolio Standard targets or goals. For specific...
Qualifying RPS State Export Markets (District of Columbia)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in District of Columbia as eligible sources towards their RPS targets or goals. For...
Regional REC and RPS Best Practices
Jennifer Alvarado
2009-09-30T23:59:59.000Z
The Great Lakes Renewable Energy Association conducted a program to explore the development of Renewable Energy Portfolio Standards and Renewable Energy Certificate Markets in the Midwest. The initiative represented the collaboration between the four state energy offices of Illinois, Indiana, Michigan and Ohio, the Great Lakes Renewable Energy Association (GLREA) and the Clean Energy State Alliance (CESA). The multi-state project explored the opportunities in the Midwest to expand the renewable energy market through Renewable Energy Portfolio Standards (RPS) and the trading of Renewable Energy Credits (RECs).
Qualifying RPS Market States (Newfoundland and Labrador, Canada)
Broader source: Energy.gov [DOE]
This entry lists the states with RPS policies that accept generation located in Newfoundland and Labrador, Canada as eligible sources towards their Renewable Portfolio Standard targets or goals. ...
Qualifying RPS Market States (Prince Edward Island, Canada)
Broader source: Energy.gov [DOE]
This entry lists the states with RPS policies that accept generation located in Prince Edward Island, Canada as eligible sources towards their Renewable Portfolio Standard targets or goals. For...
Feed-in Tariff Policy: Design, Implementation, and RPS Policy Interactions
Broader source: Energy.gov [DOE]
This report explores the design and implementation of feed-in tariff policies, including a policy definition, various payment structures, and payment differentiation options. The report also discusses the interaction between FIT and RPS policies.
Wetland Conservation The Food Security Act was enacted on
US Army Corps of Engineers
XII of this Act introduced 3 conservation provisions to address environmental concerns associatedWetland Conservation Compliance #12;The Food Security Act was enacted on December 23, 1985. Title) Conservation "Sodbuster" provision Wetland Conservation, or "Swampbuster" #12;The Swampbuster provision
NOTICE OF RENEWABLE POWER STANDARDS (RPS) MEETING Renewable Portfolio Standard Plan Before Council
establishes minimum quantities of renewable energy resources that load serving entities must procure annually of renewables energy resources that load serving entities must procure annually through 2020. Each load servingNOTICE OF RENEWABLE POWER STANDARDS (RPS) MEETING Renewable Portfolio Standard Plan Before Council
Imperial Irrigation District RPS Policy (SBX1 2) Enforcement Program & Procurement Plan
the wholesale electricity market. A least cost, best fit procurement process will be used that takes utilities to achieve a 33% RPS by 2020, with interim targets of an average of 20% through 2011-2013, 25 procurement of electricity from eligible renewable resources towards a portfolio level of 33% by 2020 measured
: Eligible Renewable Energy Resources Biodiesel Fuel cells using renewable fuels Ocean wave, ocean thermalRENEWABLE ENERGY RESOURCES PROCUREMENT PLAN This Renewable Energy Resources Procurement Plan ("RPS California's electric utilities and other retail sellers to procure eligible renewable energy resources so
Using Supercomputers to Speed Execution of the CAISO/PLEXOS 33% RPS Study
Meyers, C; Streitz, F; Yao, Y; Smith, S; Lamont, A
2011-09-19T23:59:59.000Z
The study's official title is 'ISO Study of Operational Requirements and Market Impacts at 33% Renewable Portfolio Standard (RPS).' The stated objectives are twofold: (1) identifying operational requirements and resource options to reliably operate the ISO-controlled grid under a 33% RPS in 2020; and (2) inform market, planning, and policy/regulatory decisions by the ISO, state agencies, market participants, and other stakeholders. The first of these objectives requires the hourly estimates of integration requirements, measured in terms of operational ramp, load following and regulation capacity and ramp rates, as well as additional capacity to resolve operational violations. It also involves consideration of other variables that affect the results, such as the impact of different mixes of renewable technologies, and the impact of forecasting error and variability. The second objective entails supporting the CPUC to identify long-term procurement planning needs, costs, and options, as well as informing other decisions made by the CPUC and state agencies. For the ISO itself this includes informing state-wide transmission planning needs for renewables up to a 33% RPS, and informing design of wholesale markets for energy and ancillary services to facilitate provision of integration capacities. The study is designed in two phases. The first (current) phase is focused on operational requirements and addressing these requirements with existing and new conventional fossil generation; for instance, gas turbines and/or combined cycle units. The second (planned) phase will address the same operational requirements with a combination of conventional fossil generation resources, new non-generation resources, and a renewable resource dispatch. There are seven different scenarios considered in the current phase: a 20% RPS reference case; four 33% RPS cases (a reference case, a high out-of-state case, a high distributed generation case, and a low load case); an alternative 27.5% RPS case; and an all-gas case (no new renewables after 2008). In addition, the CPUC is planning a new set of cases that will alter the anticipated sets of runs.
Feed-in Tariff Policy: Design, Implementation, and RPS Policy Interactions
Cory, K.; Couture, T.; Kreycik, C.
2009-03-01T23:59:59.000Z
Feed-in tariff (FIT) policies are implemented in more than 40 countries around the world and are cited as the primary reason for the success of the German and Spanish renewable energy markets. As a result of that success, FIT policy proposals are starting to gain traction in several U.S. states and municipalities. Experience from Europe is also beginning to demonstrate that properly designed FITs may be more cost-effective than renewable portfolio standards (RPS), which make use of competitive solicitations. This article explores the design and operation of feed-in tariff policies, including a FIT policy definition, payment-structure options, and payment differentiation. The article also touches on the potential interactions between FIT policies and RPS policies at the state level.
Bush, C. Allen
Supplementary Data: Monosaccharide Composition and Linkage Analysis of RPS Methods: Glycosyl;corrected by pretreatment of the sample with HF. In the GC-MS of the PMAA, 3-linked rhamnose, 4-linked
RPS JDC Inc formerly JD Consulting L P | Open Energy Information
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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethodInformationeNevada <REC SolarRFMD JumpRPS JDC Inc
NYSERDA's RPS Customer Sited Tier Fuel Cell Program | 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 onYouTube YouTube Note: Since the.pdfBreaking ofOilNEW HAMPSHIRE BUILDS OFF BEACONNTS_History.inddNYSERDA's RPS Customer
Enact legislation supporting residential property assessed clean energy financing (PACE)
Saha, Devashree
2012-11-15T23:59:59.000Z
Congress should enact legislation that supports residential property assessed clean energy (PACE) programs in the nation’s states and metropolitan areas. Such legislation should require the Federal Housing Finance Agency (FHFA) to allow Fannie Mae and Freddie Mac to purchase residential mortgages with PACE assessments while at the same time providing responsible underwriting standards and a set of benchmarks for residential PACE assessments in order to minimize financial risks to mortgage holders. Congressional support of residential PACE financing will improve energy efficiency, encourage job creation, and foster economic growth in the nation’s state and metropolitan areas.
Geospatial semantics: beyond ontologies, towards an enactive approach
Di Donato, Pasquale
2009-01-01T23:59:59.000Z
Current approaches to semantics in the geospatial domain are mainly based on ontologies, but ontologies, since continue to build entirely on the symbolic methodology, suffers from the classical problems, e.g. the symbol grounding problem, affecting representational theories. We claim for an enactive approach to semantics, where meaning is considered to be an emergent feature arising context-dependently in action. Since representational theories are unable to deal with context, a new formalism is required toward a contextual theory of concepts. SCOP is considered a promising formalism in this sense and is briefly described.
Kammen, Daniel M.
TO LOCAL GOVERNMENT; ENACTING THE RENEWABLE ENERGY FINANCING DISTRICT ACT; AUTHORIZING MUNICIPALITIES to encourage the development of distributed generation renewable energy sources and the installation. the creation and administration of renewable energy financing districts to facilitate the development
Robustness Analysis Michael Weisberg
Weisberg, Michael
Robustness Analysis Michael Weisberg University of Pennsylvania September 14, 2005 Abstract Modelers often rely on robustness analysis, the search for predic- tions common to several independent models. Robustness analysis has been characterized and championed by Richard Levins and William Wimsatt
State Policies Provide Critical Support for Renewable Electricity
Barbose, Galen
2009-01-01T23:59:59.000Z
against other renewable resource options. Acknowledgementsgeneration supply from renewable resources. RPS purchaseprocuring new renewable resources prior to enactment of
Doppelhofer, Gernot; Weeks, Melvyn
2011-01-31T23:59:59.000Z
This paper investigates the robustness of determinants of economic growth in the presence of model uncertainty, parameter heterogeneity and outliers. The robust model averaging approach introduced in the paper uses a flexible and parsimonious...
Environmental Robustness in ASR ROBUST2004 -August 30, 2004 Environmental Robustness
Rose, Richard
;3 Environmental Robustness in ASR ROBUST2004 - August 30, 2004 · What is the impact of environmental variability of magnitude relative to landline channel Impact of Environmental Variability An Example 89%70%Traffic1 Environmental Robustness in ASR ROBUST2004 - August 30, 2004 ROBUST2004 Environmental Robustness
N49: the first robust discovery of a recombining plasma in an extra galactic supernova remnant
Uchida, Hiroyuki; Yamaguchi, Hiroya
2015-01-01T23:59:59.000Z
Recent discoveries of recombining plasmas (RPs) in supernova remnants (SNRs) have dramatically changed our understanding of SNR evolution. To date, a dozen of RP SNRs have been identified in the Galaxy. Here we present Suzaku deep observations of four SNRs in the Large Magellanic Cloud (LMC), N49, N49B, N23, and DEM L71, for accurate determination of their plasma state. Our uniform analysis reveals that only N49 is in the recombining state among them, which is the first robust discovery of a RP from an extra-galactic SNR. Given that RPs have been identified only in core-collapse SNRs, our result strongly suggests a massive star origin of this SNR. On the other hand, no clear evidence for a RP is confirmed in N23, from which detection of recombination lines and continua was previously claimed. Comparing the physical properties of the RP SNRs identified so far, we find that all of them are categorized into the "mixed-morphology" class and interacting with surrounding molecular clouds. This might be a key to sol...
Rojas, James Thomas
1991-01-01T23:59:59.000Z
In this thesis I will examine how residents of East Los Angeles use their front yards and streets to create a sense of "place." The environment created in this way I call "enacted." People are both users and creators of a ...
Architecting complex systems for robustness
Slagle, Jason C
2007-01-01T23:59:59.000Z
Robust design methodologies are frequently utilized by organizations to develop robust and reliable complex systems. The intent of robust design is to create systems that are insensitive to variations from production, the ...
Robustness of Spatial Micronetworks
McAndrew, Thomas C; Bagrow, James P
2015-01-01T23:59:59.000Z
Power lines, roadways, pipelines and other physical infrastructure are critical to modern society. These structures may be viewed as spatial networks where geographic distances play a role in the functionality and construction cost of links. Traditionally, studies of network robustness have primarily considered the connectedness of large, random networks. Yet for spatial infrastructure physical distances must also play a role in network robustness. Understanding the robustness of small spatial networks is particularly important with the increasing interest in microgrids, small-area distributed power grids that are well suited to using renewable energy resources. We study the random failures of links in small networks where functionality depends on both spatial distance and topological connectedness. By introducing a percolation model where the failure of each link is proportional to its spatial length, we find that, when failures depend on spatial distances, networks are more fragile than expected. Accounting...
2007-08-22T23:59:59.000Z
problems, because it operates directly on the response surface and does not ... In business applications, the cost and selling price as well as the demand of a ... min-max approach, a robust optimal design is one with the best worst-case ...... prevents polynomial SDPs from being used widely in practice (see Kojima 2003).
Broader source: Energy.gov [DOE]
In January 2005, the District of Columbia Council enacted a renewable portfolio standard (RPS) that applies to all retail electricity sales in the District. In October 2008 the RPS was amended by...
Optimization Online - Robust Production Management
Vincent Guigues
2011-02-23T23:59:59.000Z
Feb 23, 2011 ... Abstract: The problem of production management can often be cast in the form ... We then give the quality of robust solutions obtained by using ...
Pareto Efficiency in Robust Optimization
2012-09-14T23:59:59.000Z
This paper formalizes and adapts the well known concept of Pareto efficiency in the context of the popular robust optimization (RO) methodology. We argue that ...
Robust automated knowledge capture.
Stevens-Adams, Susan Marie; Abbott, Robert G.; Forsythe, James Chris; Trumbo, Michael Christopher Stefan; Haass, Michael Joseph; Hendrickson, Stacey M. Langfitt
2011-10-01T23:59:59.000Z
This report summarizes research conducted through the Sandia National Laboratories Robust Automated Knowledge Capture Laboratory Directed Research and Development project. The objective of this project was to advance scientific understanding of the influence of individual cognitive attributes on decision making. The project has developed a quantitative model known as RumRunner that has proven effective in predicting the propensity of an individual to shift strategies on the basis of task and experience related parameters. Three separate studies are described which have validated the basic RumRunner model. This work provides a basis for better understanding human decision making in high consequent national security applications, and in particular, the individual characteristics that underlie adaptive thinking.
Min-max-min robustness - Optimization Online
2014-11-27T23:59:59.000Z
or the minimum spanning tree problem turn NP-hard in the new approach. Keywords: robust ... In recent decades, both robust and stochastic optimization ...
Costs and benefits of robust optimization
2010-11-13T23:59:59.000Z
result concerning costs for robust linear optimization under convex uncertainty. In ... In [3], a stability analysis of robust optimization for linear problems under ...
Robustness of Controlled Quantum Dynamics
Andy Koswara; Raj Chakrabarti
2014-09-29T23:59:59.000Z
Control of multi-level quantum systems is sensitive to implementation errors in the control field and uncertainties associated with system Hamiltonian parameters. A small variation in the control field spectrum or the system Hamiltonian can cause an otherwise optimal field to deviate from controlling desired quantum state transitions and reaching a particular objective. An accurate analysis of robustness is thus essential in understanding and achieving model-based quantum control, such as in control of chemical reactions based on ab initio or experimental estimates of the molecular Hamiltonian. In this paper, theoretical foundations for quantum control robustness analysis are presented from both a distributional perspective - in terms of moments of the transition amplitude, interferences, and transition probability - and a worst-case perspective. Based on this theory, analytical expressions and a computationally efficient method for determining the robustness of coherently controlled quantum dynamics are derived. The robustness analysis reveals that there generally exists a set of control pathways that are more resistant to destructive interferences in the presence of control field and system parameter uncertainty. These robust pathways interfere and combine to yield a relatively accurate transition amplitude and high transition probability when uncertainty is present.
Robust Single-Qubit Process Calibration via Robust Phase Estimation
Shelby Kimmel; Guang Hao Low; Theodore J. Yoder
2015-02-09T23:59:59.000Z
An important step in building a quantum computer is calibrating experimentally implemented quantum gates to produce operations that are close to ideal unitaries. The calibration step involves estimating the error in gates and then using controls to correct the implementation. Quantum process tomography is a standard technique for estimating these errors, but is both time consuming, (when one only wants to learn a few key parameters), and requires resources, like perfect state preparation and measurement, that might not be available. With the goal of efficiently estimating specific errors using minimal resources, we develop a parameter estimation technique, which can gauge two key parameters (amplitude and off-resonance errors) in a single-qubit gate with provable robustness and efficiency. In particular, our estimates achieve the optimal efficiency, Heisenberg scaling. Our main theorem making this possible is a robust version of the phase estimation procedure of Higgins et al. [B. L. Higgins, New J. Phys. 11, 073023 (2009)].
Robust inversion, dimensionality reduction, and randomized sampling
Aleksandr Aravkin
2011-11-17T23:59:59.000Z
Nov 17, 2011 ... Keywords: inverse problems, seismic inversion, stochastic optimization, robust estimation. Category 1: Nonlinear Optimization. Category 2: ...
Determining Robustness of Synchronous Programs under Stuttering
Pace, Gordon J.
University of Malta Malta ingrambondin@gmail.com, gordon.pace@um.edu.mt Abstract--Robustness of embedded
Algebraic connectivity and graph robustness.
Feddema, John Todd; Byrne, Raymond Harry; Abdallah, Chaouki T. (University of New Mexico)
2009-07-01T23:59:59.000Z
Recent papers have used Fiedler's definition of algebraic connectivity to show that network robustness, as measured by node-connectivity and edge-connectivity, can be increased by increasing the algebraic connectivity of the network. By the definition of algebraic connectivity, the second smallest eigenvalue of the graph Laplacian is a lower bound on the node-connectivity. In this paper we show that for circular random lattice graphs and mesh graphs algebraic connectivity is a conservative lower bound, and that increases in algebraic connectivity actually correspond to a decrease in node-connectivity. This means that the networks are actually less robust with respect to node-connectivity as the algebraic connectivity increases. However, an increase in algebraic connectivity seems to correlate well with a decrease in the characteristic path length of these networks - which would result in quicker communication through the network. Applications of these results are then discussed for perimeter security.
Robust Optimization with Multiple Ranges: Theory and Application ...
2010-09-23T23:59:59.000Z
We present a robust optimization approach when the uncertainty in objective ... Robust optimization addresses data uncertainty by assuming that uncertain ...
Robust Maintenance Policies in Asset Management
Kuhn, Kenneth D.; Madanat, Samer M.
2005-01-01T23:59:59.000Z
Madanat, S. , ‘Optimal Maintenance and Repair Policies inROBUST MAINTENANCE POLICIES IN ASSET MANAGEMENT Kenneth D.approach may reduce maintenance and rehabilitation (M&R)
Robust constrained shortest path problems under budgeted ...
2014-09-12T23:59:59.000Z
We study the robust constrained shortest path problem under resource uncertainty. .... they assess the effectiveness of the label-setting algorithm based on the ...
Single-Product Pricing via Robust Optimization
2006-01-30T23:59:59.000Z
manufacturing to fashion retail. Applying probabilistic ... In Section 2, we develop the robust pricing model in the presence of additive uncertainty. We analyze.
A Robust Optimization Framework for Analyzing Distribution ...
2006-02-07T23:59:59.000Z
a distribution system. We demonstrate that our proposed robust optimization framework is analyt- ically tractable and is computationally efficient for analyzing
The recoverable robust tail assignment problem
2012-12-17T23:59:59.000Z
In August 2011 the on-time performance of the airline industry of Australia ... robustness into the aircraft routing problem is via key performance indicators, ...
Optimization Online - Robust Optimization Submissions - 2013
Mehdi Karimi, Somayeh Moazeni, Levent Tuncel. Robust optimization based self scheduling of hydro-thermal Genco in smart grids. Alireza Soroudi.
Robust carbon monolith having hierarchical porosity
Dai, Sheng; Guiohon, Georges A; Liang, Chengdu
2013-02-05T23:59:59.000Z
A carbon monolith includes a robust carbon monolith characterized by a skeleton size of at least 100 nm, and a hierarchical pore structure having macropores and mesopores.
Robust carbon monolith having hierarchical porosity
Dai, Sheng; Guiochon, Georges A; Liang, Chengdu
2014-01-14T23:59:59.000Z
A carbon monolith includes a robust carbon monolith characterized by a skeleton size of at least 100 nm, and a hierarchical pore structure having macropores and mesopores.
Optimization Online - Distributionally Robust Convex Optimization
Wolfram Wiesemann
2013-02-04T23:59:59.000Z
Feb 4, 2013 ... Abstract: Distributionally robust optimization is a paradigm for decision-making under uncertainty where the uncertain problem data is governed ...
Robust and Optimum Fractional Factorial Designs
Huang, fu ze
2010-01-01T23:59:59.000Z
4 Robustness of Factorial Designs Summary . . . . . .10 Optimum Fractional Factorial Designs for m = 4 10.0Comparison of fractional factorial designs D 2.1 and D
CONTAINER MATERIALS, FABRICATION AND ROBUSTNESS
Dunn, K.; Louthan, M.; Rawls, G.; Sindelar, R.; Zapp, P.; Mcclard, J.
2009-11-10T23:59:59.000Z
The multi-barrier 3013 container used to package plutonium-bearing materials is robust and thereby highly resistant to identified degradation modes that might cause failure. The only viable degradation mechanisms identified by a panel of technical experts were pressurization within and corrosion of the containers. Evaluations of the container materials and the fabrication processes and resulting residual stresses suggest that the multi-layered containers will mitigate the potential for degradation of the outer container and prevent the release of the container contents to the environment. Additionally, the ongoing surveillance programs and laboratory studies should detect any incipient degradation of containers in the 3013 storage inventory before an outer container is compromised.
Baxter, Benjamin Andrew
2013-05-24T23:59:59.000Z
Engineered system complexity continues to increase rapidly, concurrent with the requirement for the engineered system to be robust. Robustness is often considered a critical attribute of complex engineered systems, but an exact definition...
Are solar neutrino oscillations robust?
O. G. Miranda; M. A. Tortola; J. W. F. Valle
2006-09-07T23:59:59.000Z
The robustness of the large mixing angle (LMA) oscillation (OSC) interpretation of the solar neutrino data is considered in a more general framework where non-standard neutrino interactions (NSI) are present. Such interactions may be regarded as a generic feature of models of neutrino mass. The 766.3 ton-yr data sample of the KamLAND collaboration are included in the analysis, paying attention to the background from the reaction ^13C(\\alpha,n) ^16O. Similarly, the latest solar neutrino fluxes from the SNO collaboration are included. In addition to the solution which holds in the absence of NSI (LMA-I) there is a 'dark-side' solution (LMA-D) with sin^2 theta_Sol = 0.70, essentially degenerate with the former, and another light-side solution (LMA-0) allowed only at 97% CL. More precise KamLAND reactor measurements will not resolve the ambiguity in the determination of the solar neutrino mixing angle theta_Sol, as they are expected to constrain mainly Delta m^2. We comment on the complementary role of atmospheric, laboratory (e.g. CHARM) and future solar neutrino experiments in lifting the degeneracy between the LMA-I and LMA-D solutions. In particular, we show how the LMA-D solution induced by the simplest NSI between neutrinos and down-type-quarks-only is in conflict with the combination of current atmospheric data and data of the CHARM experiment. We also mention that establishing the issue of robustness of the oscillation picture in the most general case will require further experiments, such as those involving low energy solar neutrinos.
Gene duplications, robustness and evolutionary innovations
Wagner, Andreas
, flowering plant evolution and heart development, which encompass some of the most striking innovationsGene duplications, robustness and evolutionary innovations Andreas Wagner1,2,3 Summary Mutational with evolutionary innovation is thus a special case of a general mechanism linking innovation to robustness
Numerical Analysis Department Robustness improvement of
Vuik, Kees
Numerical Analysis Department Robustness improvement of polyhedral mesh method for airbag of polyhedral mesh method for airbag deployment simulations MASTER OF SCIENCE THESIS For the degree of Master entitled ROBUSTNESS IMPROVEMENT OF POLYHEDRAL MESH METHOD FOR AIRBAG DEPLOYMENT SIMULATIONS by SANTIAGO
A Robust Strategy for Sustainable Energy
A Robust Strategy for Sustainable Energy ONCE AGAIN THE debate has intensified over whether energy uncertainties.4 Strategies for long-term energy planning must be robust to unpredictable variations Even if the world's oil resources are indeed plentiful, world energy supply remains very much
Hierarchical Network Structure Promotes Dynamical Robustness
Cameron Smith; Raymond S. Puzio; Aviv Bergman
2015-06-16T23:59:59.000Z
The relationship between network topology and system dynamics has significant implications for unifying our understanding of the interplay among metabolic, gene-regulatory, and ecosystem network architecures. Here we analyze the stability and robustness of a large class of dynamics on such networks. We determine the probability distribution of robustness as a function of network topology and show that robustness is classified by the number of links between modules of the network. We also demonstrate that permutation of these modules is a fundamental symmetry of dynamical robustness. Analysis of these findings leads to the conclusion that the most robust systems have the most hierarchical structure. This relationship provides a means by which evolutionary selection for a purely dynamical phenomenon may shape network architectures across scales of the biological hierarchy.
applying robust design: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
uncertainty in higher dimensions with potential clouds towards robust design optimization Austria email: martin.fuchs@univie.ac.at Abstract Robust design optimization...
Empirical comparison of robust, data driven and stochastic optimization
Wang, Yanbo, S.M. Massachusetts Institute of Technology
2008-01-01T23:59:59.000Z
In this thesis, we compare computationally four methods for solving optimization problems under uncertainty: * Robust Optimization (RO) * Adaptive Robust Optimization (ARO) * Data Driven Optimization (DDO) * stochastic ...
Robust System Design | Argonne Leadership Computing Facility
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Robust System Design Event Sponsor: Mathematics and Computing Science Seminar Start Date: May 5 2015 - 2:00pm BuildingRoom: Building 240Room 1406-1407 Location: Argonne National...
Robust adaptive control of switched systems
El-Rifai, Khalid, 1979-
2007-01-01T23:59:59.000Z
In this thesis, robust adaptive controllers are developed for classes of switched nonlinear systems. Switched systems are those governed by differential equations, which undergo vector field switching due to sudden changes ...
Robust execution for stochastic hybrid systems
Blackmore, Lars James Christopher
2007-01-01T23:59:59.000Z
Unmanned systems, such as Autonomous Underwater Vehicles (AUVs), planetary rovers and space probes, have enormous potential in areas such as reconnaissance and space exploration. However the effectiveness and robustness ...
Dynamic programming approach to adjustable robust optimization
2010-12-27T23:59:59.000Z
inventory model and show that, similar to the risk neutral case, a basestock ... In the last ten years Robust Optimization has become a viable tool in dealing with ... concepts from probability theory and functional analysis. ... optimization (
Gaussian Quadrature for computer aided robust design
Reber, Geoffrey Scott, 1979-
2004-01-01T23:59:59.000Z
Computer aided design has allowed many design decisions to be made before hardware is built through "virtual" prototypes: computer simulations of an engineering design. To produce robust systems noise factors must also be ...
Robust Speech Recognition Under Noisy Ambient
.................................................................... 142 6.4.1 Speech Enhancement Techniques .......................................................... 143CHAPTER Robust Speech Recognition Under Noisy Ambient Conditions 6Kuldip K. Paliwal School of Microelectronic Engineering, Griffith University, Brisbane, Australia Kaisheng Yao Speech Component Group
Theory and Applications of Robust Optimization
Bertsimas, Dimitris J.
In this paper we survey the primary research, both theoretical and applied, in the area of robust optimization (RO). Our focus is on the computational attractiveness of RO approaches, as well as the modeling power and broad ...
Expanding Robust HCCI Operation (Delphi CRADA)
Broader source: Energy.gov (indexed) [DOE]
Expanding Robust HCCI Operation A CRADA project with Delphi Automotive Systems Project ID: ACE053 2011 U.S. DOE Hydrogen and Vehicle Technologies Program Annual Merit Review and...
Hierarchical Network Structure Promotes Dynamical Robustness
Cameron Smith; Raymond S. Puzio; Aviv Bergman
2014-12-01T23:59:59.000Z
The analysis of dynamical systems that attempts to model chemical reaction, gene-regulatory, population, and ecosystem networks all rely on models having interacting components. When the details of these interactions are unknown for biological systems of interest, one effective approach is to study the dynamical properties of an ensemble of models determined by evolutionary constraints that may apply to all such systems. One such constraint is that of dynamical robustness. Despite previous investigations, the relationship between dynamical robustness-an important functional characteristic of many biological systems-and network structure is poorly understood. Here we analyze the stability and robustness of a large class of dynamical systems and demonstrate that the most hierarchical network structures, those equivalent to the total ordering, are the most robust. In particular, we determine the probability distribution of robustness over system connectivity and show that robustness is maximized by maximizing the number of links between strongly connected components of the graph representing the underlying system connectivity. We demonstrate that this can be understood in terms of the fact that permutation of strongly connected components is a fundamental symmetry of dynamical robustness, which applies to networks of any number of components and is independent of the distribution from which the strengths of interconnection among components are sampled. The classification of dynamical robustness based upon a purely topological property provides a fundamental organizing principle that can be used in the context of experimental validation to select among models that break or preserve network hierarchy. This result contributes to an explanation for the observation of hierarchical modularity in biological networks at all scales.
Quantum risk-sensitive estimation and robustness
Naoki Yamamoto; Luc Bouten
2008-03-31T23:59:59.000Z
This paper studies a quantum risk-sensitive estimation problem and investigates robustness properties of the filter. This is a direct extension to the quantum case of analogous classical results. All investigations are based on a discrete approximation model of the quantum system under consideration. This allows us to study the problem in a simple mathematical setting. We close the paper with some examples that demonstrate the robustness of the risk-sensitive estimator.
RPS Customer-Sited Tier Regional Program
Broader source: Energy.gov [DOE]
Note: The first proposal deadline was recently extended from November 8, 2012 to December 5, 2012. Subsequent proposal deadlines remain unchanged.
Preliminary Inputs for Wisconsin RPS Analysis
U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14Table 4. U.S. refi
RPS Group Plc | Open Energy Information
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Robust optimization of intensity modulated proton therapy
Liu Wei; Zhang Xiaodong; Li Yupeng; Mohan, Radhe [Department of Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, Texas 77030 (United States)
2012-02-15T23:59:59.000Z
Purpose: Intensity modulated proton therapy (IMPT) is highly sensitive to range uncertainties and uncertainties caused by setup variation. The conventional inverse treatment planning of IMPT optimized based on the planning target volume (PTV) is not often sufficient to ensure robustness of treatment plans. In this paper, a method that takes the uncertainties into account during plan optimization is used to mitigate the influence of uncertainties in IMPT. Methods: The authors use the so-called ''worst-case robust optimization'' to render IMPT plans robust in the face of uncertainties. For each iteration, nine different dose distributions are computed--one each for {+-} setup uncertainties along anteroposterior (A-P), lateral (R-L) and superior-inferior (S-I) directions, for {+-} range uncertainty, and the nominal dose distribution. The worst-case dose distribution is obtained by assigning the lowest dose among the nine doses to each voxel in the clinical target volume (CTV) and the highest dose to each voxel outside the CTV. Conceptually, the use of worst-case dose distribution is similar to the dose distribution achieved based on the use of PTV in traditional planning. The objective function value for a given iteration is computed using this worst-case dose distribution. The objective function used has been extended to further constrain the target dose inhomogeneity. Results: The worst-case robust optimization method is applied to a lung case, a skull base case, and a prostate case. Compared with IMPT plans optimized using conventional methods based on the PTV, our method yields plans that are considerably less sensitive to range and setup uncertainties. An interesting finding of the work presented here is that, in addition to reducing sensitivity to uncertainties, robust optimization also leads to improved optimality of treatment plans compared to the PTV-based optimization. This is reflected in reduction in plan scores and in the lower normal tissue doses for the same coverage of the target volume when subjected to uncertainties. Conclusions: The authors find that the worst-case robust optimization provides robust target coverage without sacrificing, and possibly even improving, the sparing of normal tissues. Our results demonstrate the importance of robust optimization. The authors assert that all IMPT plans should be robustly optimized.
Discriminating robust and non-robust atmospheric circulation responses to global warming
Discriminating robust and non-robust atmospheric circulation responses to global warming Michael response to global warming in a set of atmospheric general circulation models (AGCMs) is investigated. The global-warmed climate is forced by a global pattern of warmed ocean surface temperatures
Optimally Robust Kalman Filtering at Work: AO-, IO-, and Simultaneously IO-and AO-Robust Filters
Ruckdeschel, Peter
Optimally Robust Kalman Filtering at Work: AO-, IO-, and Simultaneously IO- and AO- Robust Filters Abstract We take up optimality results for robust Kalman filtering from Ruckdeschel (2001, 2010) where. (2006), Fried et al. (2007). Keywords: robustness, Kalman Filter, innovation outlier, additive outlier
Solar Renewable Energy Certificates
Broader source: Energy.gov [DOE]
In January 2005, the District of Columbia (D.C.) Council enacted a renewable portfolio standard (RPS) with a solar carve-out that applies to all retail electricity sales in the District. In October...
Robust estimation procedure in panel data model
Shariff, Nurul Sima Mohamad [Faculty of Science of Technology, Universiti Sains Islam Malaysia (USIM), 71800, Nilai, Negeri Sembilan (Malaysia); Hamzah, Nor Aishah [Institute of Mathematical Sciences, Universiti Malaya, 50630, Kuala Lumpur (Malaysia)
2014-06-19T23:59:59.000Z
The panel data modeling has received a great attention in econometric research recently. This is due to the availability of data sources and the interest to study cross sections of individuals observed over time. However, the problems may arise in modeling the panel in the presence of cross sectional dependence and outliers. Even though there are few methods that take into consideration the presence of cross sectional dependence in the panel, the methods may provide inconsistent parameter estimates and inferences when outliers occur in the panel. As such, an alternative method that is robust to outliers and cross sectional dependence is introduced in this paper. The properties and construction of the confidence interval for the parameter estimates are also considered in this paper. The robustness of the procedure is investigated and comparisons are made to the existing method via simulation studies. Our results have shown that robust approach is able to produce an accurate and reliable parameter estimates under the condition considered.
Hafstein, Sigurður Freyr
Introduction Relationship between ISS and Robust Lyapunov Functions Computing Local Robust Lyapunov Functions by Linear Programming Computing Lo Computation of Local ISS Lyapunov Function Via Linear;Introduction Relationship between ISS and Robust Lyapunov Functions Computing Local Robust Lyapunov Functions
Presented by Robust Storage Management in the
Vazhkudai, Sudharshan
, intermediate checkpoint storage or a staging ground Job's own allocated nodes can contribute storage spacePresented by Robust Storage Management in the Machine Room and Beyond Sudharshan Vazhkudai Computer Problem space: HPC storage crisis · Data checkpointing, staging, and offloading are all affected by data
Presented by Robust Storage Management in the
/memory to present a collective, intermediate checkpoint storage or a staging ground Job's own allocated nodes canPresented by Robust Storage Management in the Machine Room and Beyond Sudharshan Vazhkudai Computer_Freeloading_SC10 Problem space: HPC storage crisis · Data checkpointing, staging, and offloading are all affected
Pseudomonas fluorescens -A robust manufacturing platform
Lebendiker, Mario
Pseudomonas fluorescens -A robust manufacturing platform Reprinted from July/August 2004 Speciality at efficient- ly transporting single chain antibodies and other mammalian-derived proteins. In addition production. Dowpharma, a contract manufacturing services unit of Dow Chemical, has developed a manufacturing
ROBUSTNESS MEASURE FOR FUZZY MAINTENANCE ACTIVITIES SCHEDULE
Paris-Sud XI, UniversitÃ© de
activities: the preventive maintenance, whose activities can be long term planned, and the correctiveROBUSTNESS MEASURE FOR FUZZY MAINTENANCE ACTIVITIES SCHEDULE FranÃ§ois MARMIER , Christophe VARNIER. Especially in the field of maintenance services where the different practical knowledge or skills
Development of a Robust Accelerometer-based Start of Combustion...
a Robust Accelerometer-based Start of Combustion Sensing System Development of a Robust Accelerometer-based Start of Combustion Sensing System Presentation from the U.S. DOE Office...
Optimization Online - Risk Analysis 101 --- Robust-Optimization: the ...
Moshe Sniedovich
2012-07-04T23:59:59.000Z
Jul 4, 2012 ... Risk Analysis 101 --- Robust-Optimization: the elephant in the robust-satisficing room ... Abstract: In 2001, info-gap decision theory re-invented the then ... by info-
Investigating Army systems and Systems of Systems for value robustness
Koo, Kevin C. K. (Kevin Cheng Keong)
2010-01-01T23:59:59.000Z
This thesis proposes a value robustness approach to architect defense systems and Systems of Systems (SoS). A value robust system or SoS has the ability to provide continued value to stakeholders by performing well to meet ...
Static and Dynamic Analysis for Robustness under Slowdown
Pace, Gordon J.
of Malta Malta ingrambondin@gmail.com, gordon.pace@um.edu.mt Abstract--Robustness of embedded systems
A Linear Storage-Retrieval Policy for Robust Warehouse Management
Marcus Ang
2008-11-10T23:59:59.000Z
Nov 10, 2008 ... A Linear Storage-Retrieval Policy for Robust Warehouse Management ... Keywords: Dynamic programming, Transportation, Materials handling, ...
Robust diffusion imaging framework for clinical studies
Maximov, Ivan I; Neuner, Irene; Shah, N Jon
2015-01-01T23:59:59.000Z
Clinical diffusion imaging requires short acquisition times and good image quality to permit its use in various medical applications. In turn, these demands require the development of a robust and efficient post-processing framework in order to guarantee useful and reliable results. However, multiple artefacts abound in in vivo measurements; from either subject such as cardiac pulsation, bulk head motion, respiratory motion and involuntary tics and tremor, or imaging hardware related problems, such as table vibrations, etc. These artefacts can severely degrade the resulting images and render diffusion analysis difficult or impossible. In order to overcome these problems, we developed a robust and efficient framework enabling the use of initially corrupted images from a clinical study. At the heart of this framework is an improved least trimmed squares diffusion tensor estimation algorithm that works well with severely degraded datasets with low signal-to-noise ratio. This approach has been compared with other...
PET functional volume delineation: a robustness and repeatability study
Boyer, Edmond
1 PET functional volume delineation: a robustness and repeatability study Mathieu Hatt1 , Ph: Robustness of functional volume determination in PET Keywords: PET uptake volume determination, robustness;2 Abstract Purpose: Current state of the art algorithms for functional uptake volume segmentation in PET
SPEECH ENHANCEMENT FOR NOISE-ROBUST SPEECH RECOGNITION
Shapiro, Benjamin
SPEECH ENHANCEMENT FOR NOISE-ROBUST SPEECH RECOGNITION Vikramjit Mitra and Carol Y. Espy-Wilson Speech Communication Lab SCL Introduction Propose an adaptive speech enhancement technique. Detects SNR-robust Speech Recognition Speech Enhancement Noise robust automated transcription Corpus `Speech in Speech
Towards Synthesis of Reactive & Robust Behavior Chains Amol D. Mali
Mali, Amol D.
Towards Synthesis of Reactive & Robust Behavior Chains Amol D. Mali Electrical Engg. & Computer robots need to be reactive and robust. Behavior-based robots that identify and repair the failures have of reactivity and robustness have been hitherto only informally used and have been loaded with var- ious
LIBRA: a MATLAB Library for Robust Analysis List of Functions
LIBRA: a MATLAB Library for Robust Analysis List of Functions October 31, 2011 This document contains the list of functions that are currently available in the `MATLAB Library for Robust Analysis and quadratic discriminant analysis 22-04-2004 (classification of low-dimensional data) classifskew Robust
The Application of Robust Optimization in Power Systems
unit commitment and robust corrective topology control. The optimal power flow models used within partThe Application of Robust Optimization in Power Systems Final Project Report Power Systems Application of Robust Optimization in Power Systems Final Project Report Dr. Kory W. Hedman, Project Leader
Robust design using sequential computer experiments
Gupta, Abhishek
2004-09-30T23:59:59.000Z
) _____________________________ Alberto Garcia-Diaz (Member) _____________________________ Mark L. Spearman (Head of Department) May 2004 Major Subject: Industrial Engineering iii ABSTRACT Robust Design Using Sequential Computer Experiments. (May 2004... v ACKNOWLEDGEMENTS First and foremost I thank my thesis committee - Dr. Yu Ding, Dr. Alberto-Garcia Diaz and Dr. Larry J. Ringer - for their time and thoughtfulness. My advisor, Dr. Yu Ding sets an example of an engaged teacher and avid...
Robust adaptive control of HVDC systems
Reeve, J.; Sultan, M. (Univ. of Waterloo, Ontario (Canada))
1994-07-01T23:59:59.000Z
The transient performance of an HVDC power system is highly dependent on the parameters of the current/voltage regulators of the converter controls. In order to better accommodate changes in system structure or dc operating conditions, this paper introduces a new adaptive control strategy. The advantages of automatic tuning for continuous fine tuning are combined with predetermined gain scheduling in order to achieve robustness for large disturbances. Examples are provided for a digitally simulated back-to-back dc system.
Species interactions differ in their genetic robustness
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Chubiz, Lon M.; Granger, Brian R.; Segre, Daniel; Harcombe, William R.
2015-04-14T23:59:59.000Z
Conflict and cooperation between bacterial species drive the composition and function of microbial communities. Stability of these emergent properties will be influenced by the degree to which species' interactions are robust to genetic perturbations. We use genome-scale metabolic modeling to computationally analyze the impact of genetic changes when Escherichia coli and Salmonella enterica compete, or cooperate. We systematically knocked out in silico each reaction in the metabolic network of E. coli to construct all 2583 mutant stoichiometric models. Then, using a recently developed multi-scale computational framework, we simulated the growth of each mutant E. coli in the presence of S.more »enterica. The type of interaction between species was set by modulating the initial metabolites present in the environment. We found that the community was most robust to genetic perturbations when the organisms were cooperating. Species ratios were more stable in the cooperative community, and community biomass had equal variance in the two contexts. Additionally, the number of mutations that have a substantial effect is lower when the species cooperate than when they are competing. In contrast, when mutations were added to the S. enterica network the system was more robust when the bacteria were competing. These results highlight the utility of connecting metabolic mechanisms and studies of ecological stability. Cooperation and conflict alter the connection between genetic changes and properties that emerge at higher levels of biological organization.« less
Robust interface between flying and topological qubits
Zheng-Yuan Xue; Ming Gong; Jia Liu; Yong Hu; Shi-Liang Zhu; Z. D. Wang
2014-10-29T23:59:59.000Z
Hybrid architectures, consisting of conventional and topological qubits, have recently attracted much attention due to their capability in consolidating the robustness of topological qubits and the universality of conventional qubits. However, these two kinds of qubits are normally constructed in significantly different energy scales, and thus this energy mismatch is a major obstacle for their coupling that supports the exchange of quantum information between them. Here, we propose a microwave photonic quantum bus for a direct strong coupling between the topological and conventional qubits, in which the energy mismatch is compensated by the external driving field via the fractional ac Josephson effect. In the framework of tight-binding simulation and perturbation theory, we show that the energy splitting of the topological qubits in a finite length nanowire is still robust against local perturbations, which is ensured not only by topology, but also by the particle-hole symmetry. Therefore, the present scheme realizes a robust interface between the flying and topological qubits. Finally, we demonstrate that this quantum bus can also be used to generate multipartitie entangled states with the topological qubits.
Species interactions differ in their genetic robustness
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Chubiz, Lon M. [Univ. of Missouri - St. Louis, St. Louis, MO (United States); Granger, Brian R. [Boston Univ., MA (United States); Segre, Daniel [Boston Univ., MA (United States); Harcombe, William R. [Univ. of Minnesota, St. Paul, MN (United States)
2015-04-14T23:59:59.000Z
Conflict and cooperation between bacterial species drive the composition and function of microbial communities. Stability of these emergent properties will be influenced by the degree to which species' interactions are robust to genetic perturbations. We use genome-scale metabolic modeling to computationally analyze the impact of genetic changes when Escherichia coli and Salmonella enterica compete, or cooperate. We systematically knocked out in silico each reaction in the metabolic network of E. coli to construct all 2583 mutant stoichiometric models. Then, using a recently developed multi-scale computational framework, we simulated the growth of each mutant E. coli in the presence of S. enterica. The type of interaction between species was set by modulating the initial metabolites present in the environment. We found that the community was most robust to genetic perturbations when the organisms were cooperating. Species ratios were more stable in the cooperative community, and community biomass had equal variance in the two contexts. Additionally, the number of mutations that have a substantial effect is lower when the species cooperate than when they are competing. In contrast, when mutations were added to the S. enterica network the system was more robust when the bacteria were competing. These results highlight the utility of connecting metabolic mechanisms and studies of ecological stability. Cooperation and conflict alter the connection between genetic changes and properties that emerge at higher levels of biological organization.
After 2020: prospects for Higher RPS Levels inHigher RPS Levels in
UPDATE Preliminary DRAFT. For discussion only #12;400 ppm CO2 Concentration Landmark Reached May 2013 #12;Atmospheric CO2 Record Today Atmospheric CO2 record over last 420,000 years from Antarctic ice Today (400 ppm Path to Deep Greenhouse Gas Emissions Cuts by 2050: The Pivotal Role of Electricity," Williams et al
On the Power of Robust Solutions in Two-Stage Stochastic and ...
Megiddo
2009-06-09T23:59:59.000Z
Key words: robust optimization ; stochastic optimization ; adaptive optimization ... OR/MS subject classification: Primary: Robust Optimization/ Stochastic ...
A robustness measure for the sign detector
Liu, Wensheng
1991-01-01T23:59:59.000Z
of the form where Fx, x, x?corresponds to the n dimensional distribution function under the operative hypothesis, with h corresponding to cr with the "noise only" hypothesis and under the "signal and noise" hypothesis. Suppose we can identify V, with an m... distributions oi' this form. We then have p = P(Xi ) 0) = f dF(r) = 1 ? F(0) = 1 ? ar, Jo where j is the value such that A~ contains the origin. It then follows that cr = r?(1 ? a, ), (12) a, nd where Lr(a&) = 2r, (1 ? ar)( ? 1), and thus the robustness...
A robustness application for linear estimation
Kitzman, Kenneth Victor
1990-01-01T23:59:59.000Z
the maximization of a, term which reflects the ' contributions of both estimator robustness and performance. Recall from Chapter II that we denote this term as J = q P. + (1 ? q) %. , where q can vary, according to the estimator application, between zero... error formula, we recall from Chapter II tlrat the maximum of this performance value is achieved at the point E[XY] E[Xz] Recall that our example nominal densities are Jz+y, if0?*1, 0&y&1; ), 0, otherwise, f ()z+z, if0&z&1; I 0, otherwise. 23 I...
Rapid and robust spin state amplification
Tom Close; Femi Fadugba; Simon C. Benjamin; Joseph Fitzsimons; Brendon W. Lovett
2011-05-24T23:59:59.000Z
Electron and nuclear spins have been employed in many of the early demonstrations of quantum technology (QT). However applications in real world QT are limited by the difficulty of measuring single spins. Here we show that it is possible to rapidly and robustly amplify a spin state using a lattice of ancillary spins. The model we employ corresponds to an extremely simple experimental system: a homogenous Ising-coupled spin lattice in one, two or three dimensions, driven by a continuous microwave field. We establish that the process can operate at finite temperature (imperfect initial polarisation) and under the effects of various forms of decoherence.
Fighting dephasing noise with robust optimal control
Kevin C. Young; Dylan J Gorman; K. Birgitta Whaley
2010-05-28T23:59:59.000Z
We address the experimentally relevant problem of robust mitigation of dephasing noise acting on a qubit. We first present an extension of a method for representing $1/\\omega^{\\alpha}$ noise developed by Kuopanportti et al. to the efficient representation of arbitrary Markovian noise. We then add qubit control pulses to enable the design of numerically optimized, two-dimensional control functions with bounded amplitude, that are capable of decoupling the qubit from the dephasing effects of a broad variety of Markovian noise spectral densities during arbitrary one qubit quantum operations. We illustrate the method with development of numerically optimized control pulse sequences that minimize decoherence due to a combination of $1/\\omega$ and constant offset noise sources. Comparison with the performance of standard dynamical decoupling protocols shows that the numerically optimized pulse sequences are considerably more robust with respect to the noise offset, rendering them attractive for application to situations where homogeneous dephasing noise sources are accompanied by some extent of heterogeneous dephasing. Application to the mitigation of dephasing noise on spin qubits in silicon indicates that high fidelity single qubit gates are possible with current pulse generation technology.
Robust Maintenance Policies for Markovian Systems under Model Uncertainty
Kuhn, Kenneth D.; Madanat, Samer M.
2005-01-01T23:59:59.000Z
Robust Maintenance Policies for Markovian Systems underWu, M.I. (1987), Optimal maintenance decisions for pavementapproach may reduce maintenance and rehabilitation (M&R)
Robust maintenance policies for Markovian systems under model uncertainty
Kuhn, K D; Madanat, S M
2006-01-01T23:59:59.000Z
Robust Maintenance Policies for Markovian Systems underWu, M.I. (1987), Optimal maintenance decisions for pavementapproach may reduce maintenance and rehabilitation (M&R)
Optimization Online - Costs and benefits of robust optimization
Ralf Werner
2010-11-13T23:59:59.000Z
Nov 13, 2010 ... Abstract: In this exposition the robust counterpart approach by Ben-Tal, El Ghaoui and Nemirovski is investigated with respect to its costs and ...
An Efficient Algorithm for Computing Robust Minimum Capacity st Cuts
Doug Altner
2008-03-20T23:59:59.000Z
Mar 20, 2008 ... In this paper, we present an efficient algorithm for computing minimum capacity s-t cuts under a polyhedral model of robustness. Our algorithm ...
Solving Two-stage Robust Optimization Problems by A Constraint ...
2011-06-17T23:59:59.000Z
Robust unit commitment problem with demand response and wind energy. Technical report, available in optimization-online, University of South. Florida, 2010.
Development of a Robust Accelerometer-based Start of Combustion...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Robust Accelerometer-based Start of Combustion Sensing System Jim Huang Westport Innovations February 27 th 2008 This presentation does not contain any proprietary or confidential...
Optimization Online - Sparse/Robust Estimation and Kalman ...
Aleksandr Aravkin
2012-02-29T23:59:59.000Z
Feb 29, 2012 ... Sparse/Robust Estimation and Kalman Smoothing with Nonsmooth Log-Concave Densities: Modeling, Computation, and Theory. Aleksandr ...
Robust counterparts of inequalities containing sums of maxima of ...
2014-08-19T23:59:59.000Z
Kropat and Weber (2008) consider a robust linear cluster regression model ... We provide an overview of exact (non-conservative) formulations, approximations,.
Robust Inventory Routing with Flexible Time Window Allocation
Chengliang Zhang
2015-01-15T23:59:59.000Z
Jan 15, 2015 ... Abstract: This paper studies a robust maritime inventory routing problem with time windows and stochastic travel times. One of the novelties of ...
Robust optimization based self scheduling of hydro-thermal Genco ...
Alireza Soroudi
2013-12-29T23:59:59.000Z
Dec 29, 2013 ... Abstract: This paper proposes a robust optimization model for optimal self scheduling of a hydro-thermal generating company. The proposed ...
Robust Diamond-Based RF Switch Yields Enhanced Communication...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Robust Diamond-Based RF Switch Yields Enhanced Communication Capabilities Technology available for licesning: A radio frequency (RF) microelectromechanical system (MEMS) switch...
adaptive robust control: Topics by E-print Network
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
machines Boyer, Edmond 477 Analog Robust Repetitive Control for Nanopositioning Using Bucket Brigade Devices Engineering Websites Summary: as the number of operating periods...
A new robust cycle-based inventory control policy
Yupeng Chen
2011-10-17T23:59:59.000Z
Oct 17, 2011 ... Abstract: In this paper, we propose a new robust cycle-based control policy for single installation inventory models with non-stationary uncertain ...
ADAPTIVE AND ROBUST TECHNIQUES (ART) FOR THERMOACOUSTIC TOMOGRAPHY
Xie, Yao
ADAPTIVE AND ROBUST TECHNIQUES (ART) FOR THERMOACOUSTIC TOMOGRAPHY By YAO XIE A DISSERTATION.1 Thermoacoustic Tomography . . . . . . . . . . . . . . . . . . . . . 1 1.2 Image Reconstruction Algorithms for TAT
Optimization Online - Robust Energy Cost Optimization of Water ...
Alexander Goryashko
2011-02-21T23:59:59.000Z
Feb 21, 2011 ... Robust Energy Cost Optimization of Water Distribution System with Uncertain Demand. Alexander Goryashko(ale_gory ***at*** rambler.ru)
Exploring the Modeling Capacity of Two-stage Robust Optimization
Yu An
2013-06-13T23:59:59.000Z
Jun 13, 2013 ... usf.edu). Abstract: To handle significant variability in loads, renewable energy generation, as well as various contingencies, two-stage robust ...
Efficient approaches for the robust network loading problem
2014-10-14T23:59:59.000Z
The next section presents the formulations of the robust network load-. 3 ...... Figure 1: Performance profile comparing Compact-2, Benders-3, and Benders-4 for ...
The robust vehicle routing problem with time windows
Agostinho Agra
2012-10-02T23:59:59.000Z
Oct 2, 2012 ... Abstract: This paper addresses the robust vehicle routing problem with time windows. We are motivated by a problem that arises in maritime ...
The robust stabilization problem for discrete-time descriptor systems
Claudiu Dinicu
2014-09-23T23:59:59.000Z
Sep 23, 2014 ... Abstract: We investigate the robust stabilization problem for the descriptor discrete-time systems and build an optimal solution in the case when ...
Tractable counterparts of distributionally robust constraints on risk ...
Krzysztof Postek
2014-05-22T23:59:59.000Z
May 22, 2014 ... Abstract: In this paper we study distributionally robust constraints on risk measures (such as standard deviation less the mean, Conditional ...
Risk Analysis 101: fooled by local robustness ... again!
Moshe Sniedovich
2012-09-24T23:59:59.000Z
Sep 24, 2012 ... Risk Analysis 101: fooled by local robustness ... again! Moshe Sniedovich(moshe ***at*** ms.unimelb.edu.au). Abstract: This article explains, ...
Calibration robust entanglement detection beyond Bell inequalities
Tobias Moroder; Oleg Gittsovich
2011-11-25T23:59:59.000Z
In its vast majority entanglement verification is examined either in the complete characterized or totally device independent scenario. The assumptions imposed by these extreme cases are often either too weak or strong for real experiments. Here we investigate this detection task for the intermediate regime where partial knowledge of the measured observables is known, considering cases like orthogonal, sharp or only dimension bounded measurements. We show that for all these assumptions it is not necessary to violate a corresponding Bell inequality in order to detect entanglement. We derive strong detection criteria that can be directly evaluated for experimental data and which are robust against large classes of calibration errors. The conditions are even capable of detecting bound entanglement under the sole assumption of dimension bounded measurements.
System identification for robust control design
Dohner, J.L.
1995-04-01T23:59:59.000Z
System identification for the purpose of robust control design involves estimating a nominal model of a physical system and the uncertainty bounds of that nominal model via the use of experimentally measured input/output data. Although many algorithms have been developed to identify nominal models, little effort has been directed towards identifying uncertainty bounds. Therefore, in this document, a discussion of both nominal model identification and bounded output multiplicative uncertainty identification will be presented. This document is divided into several sections. Background information relevant to system identification and control design will be presented. A derivation of eigensystem realization type algorithms will be presented. An algorithm will be developed for calculating the maximum singular value of output multiplicative uncertainty from measured data. An application will be given involving the identification of a complex system with aliased dynamics, feedback control, and exogenous noise disturbances. And, finally, a short discussion of results will be presented.
Robust quantum searching with spontaneously decaying qubits
Robert J. C. Spreeuw; Tom W. Hijmans
2007-06-29T23:59:59.000Z
We present a modification of the standard single-item quantum search procedure that acquires robustness from spontaneous decay of the qubits. This damps the usual oscillation of populations, driving the system to a steady state with a strongly enhanced population of the solution. Numerical evaluation of the steady state was performed for up to 36 qubits. The huge size of the state space in our analysis is dealt with by exploiting a symmetry in the master equation that reduces the scaling of computer resources from exponential to polynomial. Based on these results we estimate that an error-free solution can be retrieved from the steady state after O(log log N) repetitions, with near-unit probability. This brings the overall scaling to O(sqrt{N} log log N), only slightly worse than for the ideal quantum case.
Is superhydrophobicity robust with respect to disorder?
Joël De Coninck; François Dunlop; Thierry Huillet
2013-08-19T23:59:59.000Z
We consider theoretically the Cassie-Baxter and Wenzel states describing the wetting contact angles for rough substrates. More precisely, we consider different types of periodic geometries such as square protrusions and disks in 2D, grooves and nanoparticles in 3D and derive explicitly the contact angle formulas. We also show how to introduce the concept of surface disorder within the problem and, inspired by biomimetism, study its effect on superhydrophobicity. Our results, quite generally, prove that introducing disorder, at fixed given roughness, will lower the contact angle: a disordered substrate will have a lower contact angle than a corresponding periodic substrate. We also show that there are some choices of disorder for which the loss of superhydrophobicity can be made small, making superhydrophobicity robust.
Efficient and robust gradient enhanced Kriging emulators.
Dalbey, Keith R.
2013-08-01T23:59:59.000Z
%E2%80%9CNaive%E2%80%9D or straight-forward Kriging implementations can often perform poorly in practice. The relevant features of the robustly accurate and efficient Kriging and Gradient Enhanced Kriging (GEK) implementations in the DAKOTA software package are detailed herein. The principal contribution is a novel, effective, and efficient approach to handle ill-conditioning of GEK's %E2%80%9Ccorrelation%E2%80%9D matrix, RN%CC%83, based on a pivoted Cholesky factorization of Kriging's (not GEK's) correlation matrix, R, which is a small sub-matrix within GEK's RN%CC%83 matrix. The approach discards sample points/equations that contribute the least %E2%80%9Cnew%E2%80%9D information to RN%CC%83. Since these points contain the least new information, they are the ones which when discarded are both the easiest to predict and provide maximum improvement of RN%CC%83's conditioning. Prior to this work, handling ill-conditioned correlation matrices was a major, perhaps the principal, unsolved challenge necessary for robust and efficient GEK emulators. Numerical results demonstrate that GEK predictions can be significantly more accurate when GEK is allowed to discard points by the presented method. Numerical results also indicate that GEK can be used to break the curse of dimensionality by exploiting inexpensive derivatives (such as those provided by automatic differentiation or adjoint techniques), smoothness in the response being modeled, and adaptive sampling. Development of a suitable adaptive sampling algorithm was beyond the scope of this work; instead adaptive sampling was approximated by omitting the cost of samples discarded by the presented pivoted Cholesky approach.
A Robust Master-Slave Distribution Architecture for Evolutionary Computations
Fernandez, Thomas
at each generation. Island model PDEC consists in evolving isolated demes that occasionally exchangeA Robust Master-Slave Distribution Architecture for Evolutionary Computations Christian Gagn,parizeau,dubreuil}@gel.ulaval.ca Abstract This paper presents a new robust master- slave distribution architecture for multi- ple
Robust Secure Transmission in MISO Channels With Imperfect ECSI
Swindlehurst, A. Lee
Robust Secure Transmission in MISO Channels With Imperfect ECSI Jing Huang and A. Lee Swindlehurst.huang; swindle}@uci.edu Abstract--This paper studies robust transmission schemes for MISO wiretap channels-input single-output (MISO) wiretap cannels, the optimal transmit covariance matrix was found to be single
Robust Information-Theoretic Private Information Retrieval Amos Beimel
Beimel, Amos
of server or communication problems. In this work, we design robust PIR protocols, i.e., protocols which various ro- bust PIR protocols giving different tradeoffs between the different parameters. We first present a generic transformation from regular PIR protocols to robust PIR protocols. We then present two
Improving the Robustness of Private Information Retrieval Ian Goldberg
Goldberg, Ian
@cs.uwaterloo.ca Abstract Since 1995, much work has been done creating proto- cols for private information retrieval (PIR). Many variants of the basic PIR model have been proposed, including such modifications as computational. In this paper, we improve on the robustness of PIR in a number of ways. First, we present a Byzantine-robust PIR
Asymptotic Equivalence and Adaptive Estimation for Robust Nonparametric Regression
Zhou, Harrison Huibin
Asymptotic Equivalence and Adaptive Estimation for Robust Nonparametric Regression T. Tony Cai1 and Harrison H. Zhou2 University of Pennsylvania and Yale University Abstract Asymptotic equivalence theory. In this paper we develop asymptotic equivalence results for robust nonparametric regression with unbounded loss
Robustness of genuine tripartite entanglement under collective dephasing
Mazhar Ali
2015-05-26T23:59:59.000Z
We study robustness of genuine multipartite entanglement for a system of three qubits under collective dephasing. Using a computable entanglement monotone for multipartite systems, we found that almost every state is quite robust under this type of decoherence. We analyze random states and weighted graph states at infinity and found all of them to be genuinely entangled.
Robust Reinforcement Learning Control with Static and Dynamic Stability
Kretchmar, R. Matthew
Typical controller design techniques are based on a mathematical model that captures as much as possible for the plant model, but for the real plant. Robust control theory addresses this goal by including in the model, or known and nonlinear, parts of the plant. Robust control techniques are applied to the plant model
Robustness of Effective Server Assignment Policies to Service Time Distributions
Ayhan, Hayriye
Robustness of Effective Server Assignment Policies to Service Time Distributions H. Eser Kirkizlar@isye.gatech.edu 607-777-2106, 404-894-3933, 404-894-2308 Abstract We study the assignment of flexible servers that the effective assignment of flexible servers is robust to the service time distributions. We provide analytical
Robustness of chimera states in complex dynamical systems
Lai, Ying-Cheng
Robustness of chimera states in complex dynamical systems Nan Yao1,2 , Zi-Gang Huang2,3 , Ying State University, Tempe, Arizona 85287, USA. The remarkable phenomenon of chimera state in systems distinct types of dynamical behaviors, in spite of identity of the oscillators. But how robust are chimera
Robust Planning of Green Wireless Networks Grit Claen
Paris-Sud XI, Université de
Robust Planning of Green Wireless Networks Grit Claßen RWTH Aachen University Lehrstuhl II f@umic.rwth-aachen.de Abstract--Current methods dealing with the energy efficient wireless network planning problem require a robust optimization model for the energy-efficient planning of wireless networks and apply cutting planes
Creating Robust Roadmaps for Motion Planning in Changing Environments
van den Berg, Jur
Creating Robust Roadmaps for Motion Planning in Changing Environments Jur P. van den Berg1 Dennis-- In this paper we introduce a method based on the Probabilistic Roadmap (PRM) Planner to construct robust roadmaps for motion planning in changing environments. PRM's are usually aimed at static environments
Robust computations with dynamical systems Olivier Bournez1
Paris-Sud XI, Université de
. In this paper we discuss the computational power of Lips- chitz dynamical systems which are robust in the following manner: undecidability of verification doesn't hold for Lipschitz, computable and robust systems words : Verification, Model-checking, Computable Analysis, Analog Com- putations. 1 Introduction
AN ENERGY-MINIMIZING INTERPOLATION FOR ROBUST MULTIGRID METHODS
Wan, Justin Wing Lok
contract W07405-Eng-48, the Department of Energy under the Accelerated Strategic Computing Initiative (ASCIAN ENERGY-MINIMIZING INTERPOLATION FOR ROBUST MULTIGRID METHODS W. L. WAN, TONY F. CHAN, AND BARRY. 1632Â1649 Abstract. We propose a robust interpolation for multigrid based on the concepts of energy
LIBRA: a MATLAB Library for Robust Analysis Sabine Verboven
calibration, PCA, PCR, PLS, Classification, MATLAB library. 1 Introduction The need and effectivenessLIBRA: a MATLAB Library for Robust Analysis Sabine Verboven Mia Hubert June 18, 2004 Abstract, statisticians, chemists, and engineers, we introduce a MATLAB library of robust statistical methods. Those
Evolution of Mutational Robustness in an RNA Virus
Froissart, Rémy
Evolution of Mutational Robustness in an RNA Virus Rebecca Montville1[ , Remy Froissart1[¤a Evolution de Micro- Organismes, Henri Huchard, Paris, France Mutational (genetic) robustness is phenotypic of evolution because phenotypically expressed genetic variation is the fuel of natural selection. Nonetheless
ROCK: A Robust Clustering Algorithm for Categorical Attributes
Pennsylvania, University of
ROCK: A Robust Clustering Algorithm for Categorical Attributes Sudipto Guha Stanford University/proximity between a pair of data points. We develop a robust hierarchical clustering algorithm ROCK that employs measures that are relevant in situations where a domain expert/similarity table is the only source
Robust quantum data locking from phase modulation
Cosmo Lupo; Mark M. Wilde; Seth Lloyd
2014-08-29T23:59:59.000Z
Quantum data locking is a unique quantum phenomenon that allows a relatively short key to (un)lock an arbitrarily long message encoded in a quantum state, in such a way that an eavesdropper who measures the state but does not know the key has essentially no information about the encrypted message. The application of quantum data locking in cryptography would allow one to overcome the limitations of the one-time pad encryption, which requires the key to have the same length as the message. However, it is known that the strength of quantum data locking is also its Achilles heel, as the leakage of a few bits of the key or the message may in principle allow the eavesdropper to unlock a disproportionate amount of information. In this paper we show that there exist quantum data locking schemes that can be made robust against information leakage by increasing the length of the shared key by a proportionate amount. This implies that a constant size key can still encrypt an arbitrarily long message as long as a fraction of it remains secret to the eavesdropper. Moreover, we greatly simplify the structure of the protocol by proving that phase modulation suffices to generate strong locking schemes, paving the way to optical experimental realizations. Also, we show that successful data locking protocols can be constructed using random codewords, which very well could be helpful in discovering random codes for data locking over noisy quantum channels.
Design of a robust superhydrophobic surface: thermodynamic and kinetic analysis
Anjishnu Sarkar; Anne-Marie Kietzig
2014-12-17T23:59:59.000Z
The design of a robust superhydrophobic surface is a widely pursued topic.While many investigations are limited to applications with high impact velocities (for raindrops of the order of a few m/s), the essence of robustness is yet to be analyzed for applications involving quasi-static liquid transfer.To achieve robustness with high impact velocities, the surface parameters (geometrical details, chemistry) have to be selected from a narrow range of permissible values, which often entail additional manufacturing costs.From the dual perspectives of thermodynamics and mechanics, we analyze the significance of robustness for quasi-static drop impact, and present the range of permissible surface characteristics.For surfaces with a Youngs contact angle greater than 90{\\deg} and square micropillar geometry, we show that robustness can be enforced when an intermediate wetting state (sagged state) impedes transition to a wetted state (Wenzel state).From the standpoint of mechanics, we use available scientific data to prove that a surface with any topology must withstand a pressure of 117 Pa to be robust.Finally, permissible values of surface characteristics are determined, which ensure robustness with thermodynamics (formation of sagged state) and mechanics (withstanding 117 Pa).
Robust, High-Throughput Analysis of Protein Structures
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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiation Protection TechnicalResonantNovember 15 toAdvances WindRobust,Robust,Robust,
Application of robust and inverse optimization in transportation
Nguyen, Thai Dung
2010-01-01T23:59:59.000Z
We study the use of inverse and robust optimization to address two problems in transportation: finding the travel times and designing a transportation network. We assume that users choose the route selfishly and the flow ...
A comparison of routing sets for robust network design
2013-07-24T23:59:59.000Z
seen as a single stage robust program where the set of routings paths together ... called a routing template, which is used by all demand vectors in the uncertainty set. ...... A flexible model for resource management in virtual private networks.
Robustness improvement of polyhedral mesh method for airbag deployment simulations.
Vuik, Kees
Robustness improvement of polyhedral mesh method for airbag deployment simulations. TU Delft Description Airbag flexible membrane. Modeled by equations of elasticity, solved numerically using FEM Flow and Problem Description Airbag triangulation intersects in arbitrary way the Cartesian Mesh. Cartesian cells
A network approach for power grid robustness against cascading failures
Wang, Xiangrong; Kooij, Robert E; Van Mieghem, Piet
2015-01-01T23:59:59.000Z
Cascading failures are one of the main reasons for blackouts in electrical power grids. Stable power supply requires a robust design of the power grid topology. Currently, the impact of the grid structure on the grid robustness is mainly assessed by purely topological metrics, that fail to capture the fundamental properties of the electrical power grids such as power flow allocation according to Kirchhoff's laws. This paper deploys the effective graph resistance as a metric to relate the topology of a grid to its robustness against cascading failures. Specifically, the effective graph resistance is deployed as a metric for network expansions (by means of transmission line additions) of an existing power grid. Four strategies based on network properties are investigated to optimize the effective graph resistance, accordingly to improve the robustness, of a given power grid at a low computational complexity. Experimental results suggest the existence of Braess's paradox in power grids: bringing an additional li...
Optimality of Affine Policies in Multi-stage Robust Optimization
Bertsimas, Dimitris J.
In this paper, we prove the optimality of disturbance-affine control policies in the context of one-dimensional, constrained, multistage robust optimization. Our results cover the finite-horizon case, with minimax (worst-case) ...
A New Cone Programming Approach for Robust Portfolio Selection ?
2006-12-22T23:59:59.000Z
Dec 10, 2006 ... Let us consider a discrete-time market with n traded assets. The vector of asset ...... We next report the performance of the classical portfolio and the robust portfolios corre- sponding to our ..... Utilities (Gas & Electric). EMR.
Robust Distributed Power Control in Cognitive Radio Networks
fard, Saeideh Parsaei
2011-01-01T23:59:59.000Z
We propose a robust distributed uplink power allocation algorithm for underlay cognitive radio networks (CRNs) with a view to maximizing the total utility of secondary users (SUs) when channel gains from SUs to primary base stations, and interference caused by primary users (PUs) to the SUs' base station are uncertain. In doing so, we utilize the worst-case robust optimization to keep the interference caused by SUs to each primary base station below a given threshold, and satisfy the SUs' quality of service for all realizations of uncertainty. We model each uncertain parameter by a bounded distance between its estimated and exact values, and formulate the robust power allocation problem via protection values for constraints. We demonstrate that the convexity of our problem is preserved, and in some cases converts into a geometric programming problem, which we solve via a distributed algorithm by using Lagrange dual decomposition. To reduce the cost of robustness, defined as the reduction in the total utility ...
Robust crew pairing : delays analysis and implementation of optimization approaches
Leroyer, Pierre, S.M. Massachusetts Institute of Technology
2006-01-01T23:59:59.000Z
With increasing delays and airport congestion that disturb airline operations, the development of robust schedules is becoming crucial. Increased traffic and poor weather are a few of the causes of airport congestion, ...
ROBUST SPEECH RECOGNITION BY INTEGRATING SPEECH SEPARATION AND HYPOTHESIS TESTING
Wang, DeLiang "Leon"
on recognition, noisy speech is typically preprocessed by speech enhancement algorithms, such as spectral- tral subtraction for speech enhancement followed by recognition of enhanced speech [4]. The missingROBUST SPEECH RECOGNITION BY INTEGRATING SPEECH SEPARATION AND HYPOTHESIS TESTING Soundararajan
Robust, goal-directed plan execution with bounded risk
Ono, Masahiro, Ph. D. Massachusetts Institute of Technology
2012-01-01T23:59:59.000Z
There is an increasing need for robust optimal plan execution for multi-agent systems in uncertain environments, while guaranteeing an acceptable probability of success. For example, a fleet of unmanned aerial vehicles ...
Robust decision-making with model uncertainty in aerospace systems
Bertuccelli, Luca Francesco, 1981-
2008-01-01T23:59:59.000Z
Actual performance of sequential decision-making problems can be extremely sensitive to errors in the models, and this research addressed the role of robustness in coping with this uncertainty. The first part of this thesis ...
Applications of broad class knowledge for noise robust speech recognition
Sainath, Tara N
2009-01-01T23:59:59.000Z
This thesis introduces a novel technique for noise robust speech recognition by first describing a speech signal through a set of broad speech units, and then conducting a more detailed analysis from these broad classes. ...
Development of a robust work transfer iomplementation process
Murdoch, Kimberly R
2004-01-01T23:59:59.000Z
The industry-wide need for a robust method of transferring the manufacturing of a component from one location to another is addressed in this thesis. Work transfer activities can be initiated due to a number of business ...
ROBUSTNESS AND CONDITIONAL INDEPENDENCE IDEALS JOHANNES RAUH1
#12;ROBUSTNESS AND CONDITIONAL INDEPENDENCE IDEALS JOHANNES RAUH1 , NIHAT AY1,2 Abstract. We study decomposition, binomial ideals. 1 #12;2 JOHANNES RAUH1, NIHAT AY1,2 distribution; it will turn out that only
A Robust Platform for the Synthesis of New Tetracycline Antibiotics
A Robust Platform for the Synthesis of New Tetracycline Antibiotics Cuixiang Sun, Qiu Wang, Jason D potent antibiotic activities, both in bacterial cell culture and in vivo. The platform for tetracycline
Optimization Online - Robust and Data-Driven Optimization: Modern ...
Dimitris Bertsimas
2006-05-12T23:59:59.000Z
May 12, 2006 ... Robust and Data-Driven Optimization: Modern Decision-Making Under ... The purpose of this tutorial is to present a mathematical framework that is well-suited to the limited information ... Visitors, Authors, More about us, Links.
STRONG FORMULATIONS OF ROBUST MIXED 0–1 ...
2005-02-27T23:59:59.000Z
Page 1 ... Literature on robust discrete optimization, which is the topic of this paper, is so far limited; see [1, 2, 8, 10, 18] for a few available examples. For earlier ...
Snap: Robust Tool for Internet-wide Operating System Fingerprinting
Nandwani, Ankur Bharatbhushan
2012-02-14T23:59:59.000Z
SNAP: ROBUST TOOL FOR INTERNET-WIDE OPERATING SYSTEM FINGERPRINTING A Thesis by ANKUR BHARATBHUSHAN NANDWANI Submitted to the O?ce of Graduate Studies of Texas A&M University in partial fulflllment of the requirements for the degree... of MASTER OF SCIENCE December 2010 Major Subject: Computer Science SNAP: ROBUST TOOL FOR INTERNET-WIDE OPERATING SYSTEM FINGERPRINTING A Thesis by ANKUR BHARATBHUSHAN NANDWANI Submitted to the O?ce of Graduate Studies of Texas A&M University...
Design and tuning of robust PID controller for HVAC systems
Kasahara, Masato; Matsuba, Tadahiko; Kuzuu, Yoshiaki; Yamazaki, Takanori; Hashimoto, Yukihiro; Kamimura, Kazuyuki; Kurosu, Shigeru
1999-07-01T23:59:59.000Z
This paper concerns the development of a new design and tuning method for use with robust proportional-plus-integral-plus-derivative (PID) controllers that are commonly used in the heating, ventilating, and air-conditioning (HVAC) fields. The robust PID controller is designed for temperature control of a single-zone environmental space. Although the dynamics of environmental space are described by higher-order transfer functions, most HVAC plants are approximated by first-order lag plus deadtime systems. Its control performance is examined for this commonly approximated controlled plant. Since most HVAC plants are complex with nonlinearity, distributed parameters, and multivariables, a single set of PID gains does not necessarily yield a satisfactory control performance. For this reason, the PID controller must be designed as a robust control system considering model uncertainty caused by changes in characteristics of the plant. The PID gains obtained by solving a two-disk type of mixed sensitivity problem can be modified by contrast to those tuned by the traditional Ziegler-Nichols rule. The results, which are surprisingly simple, are given as linear functions of ratio of deadtime to time constant for robustness. The numerical simulation and the experiments on a commercial-size test plant for air conditioning suggest that the robust PID controller proposed in this paper is effective enough for practical applications.
Robust Precoder for Multiuser MISO Downlink with SINR Constraints
Ubaidulla, P
2008-01-01T23:59:59.000Z
In this paper, we consider linear precoding with SINR constraints for the downlink of a multiuser MISO (multiple-input single-output) communication system in the presence of imperfect channel state information (CSI). The base station is equipped with multiple transmit antennas and each user terminal is equipped with a single receive antenna. We propose a robust design of linear precoder which transmits minimum power to provide the required SINR at the user terminals when the true channel state lies in a region of a given size around the channel state available at the transmitter. We show that this design problem can be formulated as a Second Order Cone Program (SOCP) which can be solved efficiently. We compare the performance of the proposed design with some of the robust designs reported in the literature. Simulation results show that the proposed robust design provides better performance with reduced complexity.
Measuring robustness of community structure in complex networks
Li, Hui-Jia; Chen, Luonan
2015-01-01T23:59:59.000Z
The theory of community structure is a powerful tool for real networks, which can simplify their topological and functional analysis considerably. However, since community detection methods have random factors and real social networks obtained from complex systems always contain error edges, evaluating the robustness of community structure is an urgent and important task. In this letter, we employ the critical threshold of resolution parameter in Hamiltonian function, $\\gamma_C$, to measure the robustness of a network. According to spectral theory, a rigorous proof shows that the index we proposed is inversely proportional to robustness of community structure. Furthermore, by utilizing the co-evolution model, we provides a new efficient method for computing the value of $\\gamma_C$. The research can be applied to broad clustering problems in network analysis and data mining due to its solid mathematical basis and experimental effects.
Numerical Evidence for Robustness of Environment-Assisted Quantum Transport
A. Shabani; M. Mohseni; H. Rabitz.; S. Lloyd
2014-05-12T23:59:59.000Z
Recent theoretical studies show that decoherence process can enhance transport efficiency in quantum systems. This effect is known as environment-assisted quantum transport (ENAQT). The role of ENAQT in optimal quantum transport is well investigated, however, it is less known how robust ENAQT is with respect to variations in the system or its environment characteristic. Toward answering this question, we simulated excitonic energy transfer in Fenna-Matthews-Olson (FMO) photosynthetic complex. We found that ENAQT is robust with respect to many relevant parameters of environmental interactions and Frenkel-exciton Hamiltonian including reorganization energy, bath frequency cutoff, temperature, and initial excitations, dissipation rate, trapping rate, disorders, and dipole moments orientations. Our study suggests that the ENAQT phenomenon can be exploited in robust design of highly efficient quantum transport systems.
Robust packaging system for diesel/natural gas oxidation catalysts
Gulati, S.T.; Sherwood, D.L. [Corning, Inc., NY (United States); Corn, S.H.
1996-09-01T23:59:59.000Z
The 290,000 vehicle-mile durability requirement for diesel/natural gas oxidation catalysts calls for robust packaging systems which ensure a positive mounting pressure on the ceramic flow-through converter under all operating conditions. New data for substrate/washcoat interaction, intumescent mat performance in dry and wet states, and high temperature strength and oxidation resistance of stainless steels, and canning techniques insensitive to tolerance stack-up are reviewed which help optimize packaging durability. Factors contributing to robustness of converter components are identified and methods to quantify their impact on design optimization are described.
Robust, High-Throughput Analysis of Protein Structures
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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiation Protection TechnicalResonantNovember 15 toAdvances WindRobust,Robust,
Are Export Premia Robust to Innovation Statistics? Flora Bellone
Paris-Sud XI, Université de
Are Export Premia Robust to Innovation Statistics? Flora Bellone Sarah Guillou Lionel Nesta pre- mium of exporters. We start by performing non parametric tests on TFP distributions on different groups of firms characterized by their export and innovation behavior. We show that the TFP distributions
Adaptive robust motion control of linear motors for precision manufacturing
Yao, Bin
for widespread use in high-speed/high-accuracy positioning systems [13]. In general, the linear motor hasAdaptive robust motion control of linear motors for precision manufacturing Bin Yao *, Li Xu School of Mechanical Engineering, Purdue University, West Lafayette, IN 47907, USA Received 6 October 1999; accepted 11
Robust Measurement Feedback Control of an Inclined Cable
Paris-Sud XI, Université de
a robust control strategy based on modern control tools for distributed parameter systems, hal-00784727 on the construction of a standard linear infinite dimensional state space system and an H feedback control). !"#$%& # ' ( )"#$%& "*++$!++&, - *. , , Fig. 1. Inclined Cable This paper is devoted to the design of control laws for a vi- brating system
Robustness improvement of polyhedral mesh method for airbag deployment simulations.
Vuik, Kees
Robustness improvement of polyhedral mesh method for airbag deployment simulations. TU Delft to simulate the deployment of airbags. The solution is approximated using Euler's equations d dt qd + S (q the boundary of the object immersed in the flow, the airbag. The geometry of the airbag is preserved
Robust Preconditioning of Large, Sparse, Symmetric Eigenvalue Problems
Stathopoulos, Andreas
Robust Preconditioning of Large, Sparse, Symmetric Eigenvalue Problems Andreas Stathopoulos \\Lambda large, sparse, symmetric eigenvalue problems ofÂ ten encounter convergence difficulties because of ill for A to be real, symmetric, and frequently very large and sparse [17, 7]. Advances in technology allow scientists
CX: A Scalable, Robust Network for Parallel Computing
Cappello, Peter
CX: A Scalable, Robust Network for Parallel Computing}@cs.ucsb.edu telephone: 805.893.4383; fax: 805.893.853 Abstract CX, a network are distributed throughout the server network via a simple "diffusion" process. CX is intended as a test
Motorcycle Riding Simulator: How to Estimate Robustly the Rider's Action?
Paris-Sud XI, Université de
. The reconstructed torque is used as the main control of the virtual motorcycle dynamic model, in order to actuate the simulator's platform. The steering system is modeled as a haptic display subjected to a couple of action of the real tire-road contact. The control approach is based on a robust tracking problem of a reference
DISSERTATION A SYNTHESIS OF REINFORCEMENT LEARNING AND ROBUST CONTROL THEORY
Anderson, Charles W.
controllers are designed not on the physical plant to be controlled, but on a mathematical model of the plant. Robust control overcomes this problem by adding uncertainty to the mathematical model. The result is a more general, less aggressive controller which performs well on both the model and the physical plant
Benefits of Multiple TX Powers Robustness to Beacon Node Failure
Chen, Yiling
the partial failure of the infrastructure. Our system, called MoteTrack, is based on low-power radios coupledAccuracy Benefits of Multiple TX Powers Robustness to Beacon Node Failure Introduction to a wide range of applications. For some, the location tracking system must continue to operate despite
Robust Photo Retrieval Using World Semantics Hugo Liu*, Henry Lieberman*
Lieberman, Henry
), and keyword co-occurrence statistics (Peat and Willet, 1991; Lin, 1998), as well as resources generated robust involves query expansion using a thesaurus or other lexical resource. The chief limitation a world semantic resource. The resource is automatically constructed from a large-scale freely available
Robust Control-theoretic Thermal Balancing for Server Clusters
Lu, Chenyang
Robust Control-theoretic Thermal Balancing for Server Clusters Yong Fu, Chenyang Lu, Hongan Wang for clusters because of the increasing power consumption of modern processors, compact server architectures and growing server density in data centers. Thermal balancing mitigates hot spots in a cluster through dynamic
A Programmable Client-Server Model: Robust Extensibility via DSLs
Consel, Charles
A Programmable Client-Server Model: Robust Extensibility via DSLs Charles Consel Laurent Réveillère Talence Cedex, France E-mail: {consel,reveillere}@labri.fr Abstract The client-server model has been. However, its server-centric na- ture makes it insensitive to fast changing client character- istics like
ROBUST SPEECH RECOGNITION USING MULTIPLE PRIOR MODELS FOR SPEECH RECONSTRUCTION
Wang, DeLiang "Leon"
speech recognition to enhance noisy speech. Typically, a single prior model is trained by pooling normalization (CMN), while others preprocess noisy speech using speech enhancement techniques. If noise samplesROBUST SPEECH RECOGNITION USING MULTIPLE PRIOR MODELS FOR SPEECH RECONSTRUCTION Arun Narayanan
.ROBUST SPEECH RECOGNITION USING SINGULAR VALUE DECOMPOSITION BASED SPEECH ENHANCEMENT
.ROBUST SPEECH RECOGNITION USING SINGULAR VALUE DECOMPOSITION BASED SPEECH ENHANCEMENT B. T. Lilly the performance of a speechrecognition system in the presence of noise, is to enhance the speech prior to its is the enhanced speech signal. In the experiments presented in this paper, we use singu- lar value decomposition
Robust wavelet estimation and blind deconvolution of noisy surface seismics
van der Baan, Mirko
Robust wavelet estimation and blind deconvolution of noisy surface seismics Mirko Van der Baan1 if the bandwidth of the seismic wavelet is narrow to very narrow; that is, if the wavelet bandwidth is similar to its principal frequency. The main problem is to estimate the phase of the wavelet with sufficient
Eye Perturbation Approach for Robust Recognition of Inaccurately Aligned Faces
Bowyer, Kevin W.
Eye Perturbation Approach for Robust Recognition of Inaccurately Aligned Faces Jaesik Min, Kevin W of the locations of facial features, such as the center of eyes, that are marked either manually or automatically. It is not guaranteed, however, that we always obtain the exact or optimal locations of the eye centers, and using
Robust Hybrid Control for Autonomous Vehicle Motion Planning
Sontag, Eduardo
Robust Hybrid Control for Autonomous Vehicle Motion Planning Emilio Frazzoli 1 Munther A. Dahleh 2 on a hybrid automaton, the states of which represent feasible trajectory primitives for the vehicle Eric Feron 3 Abstract The operation of an autonomous vehicle in an unknown, dynamic environment
Robust Hybrid Control for Autonomous Vehicle Motion Planning
Feron, Eric
Robust Hybrid Control for Autonomous Vehicle Motion Planning Emilio Frazzoli Munther A. Dahleh y Eric Feron z Abstract The operation of an autonomous vehicle in an unknown, dynamic environment is a very complex problem, especially when the vehicle is required to use its full maneuvering capabilities
THE AUDIO DEGRADATION TOOLBOX AND ITS APPLICATION TO ROBUSTNESS EVALUATION
Mauch, Matthias
THE AUDIO DEGRADATION TOOLBOX AND ITS APPLICATION TO ROBUSTNESS EVALUATION Matthias Mauch Sebastian.ewert}@eecs.qmul.ac.uk ABSTRACT We introduce the Audio Degradation Toolbox (ADT) for the controlled degradation of audio signals degradation. For example, audio is degraded by low-quality microphones, noisy recording environments, MP3
Robust Strategy for Intake Leakage Detection in Diesel Engines
Boyer, Edmond
Robust Strategy for Intake Leakage Detection in Diesel Engines Riccardo Ceccarelli , Philippe are provided using advanced Diesel engine developed under AMEsim. I. INTRODUCTION The modern Diesel engine has of the functioning of a air-path in a Diesel engine with exhaust gas recirculation circuit is presented. More
Robust Target Localization from Binary Decisions in Wireless Sensor Networks
Michailidis, George
Robust Target Localization from Binary Decisions in Wireless Sensor Networks Natallia Katenka Wireless sensor networks (WSN) are becoming an important tool in a variety of tasks, including mon- itoring targets and localizing multiple targets are also considered. Keywords: wireless sensor network, target
SeRLoc: Robust Localization for Wireless Sensor Networks
Hochberg, Michael
SeRLoc: Robust Localization for Wireless Sensor Networks LOUKAS LAZOS and RADHA POOVENDRAN University of Washington Many distributed monitoring applications of Wireless Sensor Networks (WSNs) require of Wireless Sensor Networks to determine their location in an untrusted environment, known as the secure
Information exchange and the robustness of organizational networks
Dodds, Peter
Information exchange and the robustness of organizational networks Peter Sheridan Dodds* , Duncan J) and social (e.g., business firms). In this paper, we introduce a model of organizational networks according that ultrarobust organizational networks can be generated in an efficient and scalable manner. Our results
The robust impact parameter profile of inelastic collisions
I. M. Dremin
2014-07-17T23:59:59.000Z
It is shown that the impact parameter profile of inelastic hadron collisions is robust to admissible variations of the shape of the diffraction cone of elastic scattering. This conclusion is obtained using the unitarity condition and experimental data only with no phenomenological model inputs.
Energy and Deadline Constrained Robust Stochastic Static Resource Allocation
Maciejewski, Anthony A.
Energy and Deadline Constrained Robust Stochastic Static Resource Allocation Mark A. Oxley1 of energy and deadline constrained static resource allocation where a collection of independent tasks ("bag of tasks stochastically. This research focuses on the design of energy-constrained resource allocation
A ROBUST FINITE ELEMENT METHOD FOR DARCY--STOKES FLOW
Winther, Ragnar
. When # = 0 the first equation in (1.1) has the form of Darcy's law for flow in a homogeneous porousA ROBUST FINITE ELEMENT METHOD FOR DARCY--STOKES FLOW KENT ANDRE MARDAL, XUE--CHENG TAI, AND RAGNAR the perturbation parameter is large, while it degenerates to a mixed formulation of Poisson's equation
Robust Neuroimaging-Based Classification Techniques of Autistic vs. Typically
Farag, Aly A.
abnormalities in several brain regions. Increased head size was the first observed characteristic in children1 Robust Neuroimaging-Based Classification Techniques of Autistic vs. Typically Developing Brain with autism. According to the published studies, different anatomical structures of the brain have been
Robust Extremes in Chaotic Deterministic Systems Renato Vitolo,
, barotropic stabilisation, thermal diffusion and viscous-like dissipation). The model has a robust chaotic of the system's total energy have a smooth power law in TE. The following numerical study illustrates of values of x, proportional to the intensity of the convective motion [15], recorded every 0.5 time units
Robust Controller Design and PID Tuning for Multivariable Processes
Marquez, Horacio J.
Robust Controller Design and PID Tuning for Multivariable Processes Wen Tan Department approach, which gives a sub-optimal solution. Then a PID approximation method is proposed to reduce a high it serves as a PID tuning method for multivariable processes. Examples show that the method is easy to use
Robust Path Planning and Feedback Design under Stochastic Uncertainty
Williams, Brian C.
. Introduction Autonomous vehicles such as Unmanned Air Vehicles (UAVs) need to be able to plan trajectories; prior work showed that a UAV operating at a constant altitude as well as other autonomous vehicles canRobust Path Planning and Feedback Design under Stochastic Uncertainty Lars Blackmore Autonomous
A Probabilistic Particle Control Approach to Optimal, Robust Predictive Control
Williams, Brian C.
Autonomous vehicles need to be able to plan trajectories to a specified goal that avoid obstacles; for example in the case of localization, the belief state about a vehicle's position can consist of highly non of predictive stochastic control is robust path planning for vehicles under un- certainty. Uncertainty arises
Biological Development model for the Design of Robust Digital System
Fernandez, Thomas
Biological Development model for the Design of Robust Digital System Heng Liu Doctor of Philosophy and Keywords i Abstract This thesis presents a biologically-inspired developmental model for the design. The methods presented have been applied to produce a self-repairing two bit multiplier and an autonomous robot
Robust Redundancy Elimination for Energy-aware Routing
Paris-Sud XI, Université de
Robust Redundancy Elimination for Energy-aware Routing David Coudert Joint Project COATI I3S (CNRS¨ur Mathematik RWTH Aachen, Germany tieves@math2.rwth-aachen.de Abstract--Many studies have shown that energy-aware Network- ing, Energy-aware Routing, Redundancy Elimination. I. INTRODUCTION In modern communication
Geometric Methods for Robust Stabilization of Autonomous Underwater Vehicles \\Lambda
Leonard, Naomi
robustness and avoids having to linearize the dynamics (see [8]). The sliding mode con trol law consists's that avoids both lin earization and cancellation of nonlinearities. The pro posed control law is designed search under Grant N000149610052. that is produced by gravitational and buoyant forces in a vehicle
ROBUST SCALABLE VEHICLE CONTROL VIA NON-DIMENSIONAL VEHICLE DYNAMICS
Brennan, Sean
- 1 - ROBUST SCALABLE VEHICLE CONTROL VIA NON-DIMENSIONAL VEHICLE DYNAMICS S. Brennan & A. Alleyne and spatial re-parameterization of the linear vehicle Bicycle Model is presented utilizing non-dimensional ratios of vehicle parameters called -groups. Investigation of the -groups using compiled data from 44
ROBUST SCALABLE VEHICLE CONTROL VIA NON-DIMENSIONAL VEHICLE DYNAMICS
Brennan, Sean
ROBUST SCALABLE VEHICLE CONTROL VIA NON-DIMENSIONAL VEHICLE DYNAMICS S. Brennan & A. Alleyne Dept, IL 61801 ABSTRACT A temporal and spatial re-parameterization of the well- known linear vehicle Bicycle Model is presented. This parameterization utilizes non-dimensional ratios of vehicle parameters
`Glocal' Robustness Analysis and Model Discrimination for Circadian Oscillators
Wagner, Andreas
Fe, New Mexico, United States of America, 6 Department of Biology, University of New Mexico, Albuquerque, New Mexico, United States of America Abstract To characterize the behavior and robustness of cellular circuits with many unknown parameters is a major challenge for systems biology. Its difficulty
Robust video denoising using low rank matrix completion , Chaoqiang Liu
Shen, Zuowei
Robust video denoising using low rank matrix completion Hui Ji , Chaoqiang Liu , Zuowei Shen video denoising algorithms assume a sin- gle statistical model of image noise, e.g. additive Gaussian white noise, which often is violated in practice. In this pa- per, we present a new patch-based video
Fast and Robust Algorithm for Compositional Modeling: Part II--
Firoozabadi, Abbas
later) we have noticed that compositional modeling of a rich-retrograde gas condensate het- erogeneous of our study, stability analysis testing in the reduced space was formulated, and its robustness- sitional modeling, stability analysis testing in the reduction method was presented.1 In this paper, Part
Robust Neural Sliding Mode Control of Robot Manipulators
Nguyen Tran Hiep [Le Quy Don University Hanoi-Vietnam (Viet Nam); Pham Thuong Cat [Institute of Information Technology, Academy of Science and Technology Vietnam (Viet Nam)
2009-03-05T23:59:59.000Z
This paper proposes a robust neural sliding mode control method for robot tracking problem to overcome the noises and large uncertainties in robot dynamics. The Lyapunov direct method has been used to prove the stability of the overall system. Simulation results are given to illustrate the applicability of the proposed method.
A Robust Optimization Framework for Analyzing Distribution Systems with Transshipment
Chaudhuri, Sanjay
A Robust Optimization Framework for Analyzing Distribution Systems with Transshipment Mabel Chou operations. Mabel Chou NUS Business School National University of Singapore Singapore 117592 Email: bizchoum Email: dscsimm@nus.edu.sg Kut C. So The Paul Merage School of Business University of California Irvine
Robust concatenated codes for the slow Rayleigh fading channel
Hsu, Teh-Hsuan
2009-05-15T23:59:59.000Z
In this thesis, we design a robust concatenated code for the Multiple-Input Multiple-Output (MIMO) system in the presence of slow Rayleigh fading with no channel side information at the transmitter (no CSIT) and perfect channel side information...
Dynamics of Evolutionary Robustness Alan Piszcz, Terence Soule
Fernandez, Thomas
, University of Idaho Moscow, ID, USA apiszcz@acm.org, tsoule@cs.uidaho.edu ABSTRACT Recently there has been considerable interest in determin- ing whether, and how much, evolutionary pressure for ge- netic robustness of this work for personal or classroom use is granted without fee provided that copies are not made
RPS Collaborative Webinar: Using AVERT to Estimate the Emissions...
Broader source: Energy.gov (indexed) [DOE]
MDT State policymakers and various stakeholders frequently have need to estimate the emissions impacts of particular renewable energy and energy efficiency policies. However, it...
California's Renewables Portfolio Standard (RPS) List of Facilities Certification Status
Geothermal Energy Center #1 Siskiyou County CA Siskiyou 12/1/2010 65 Geothermal 7/14/2004 Dennis Gilles Geothermal Energy Center #2 Siskiyou County CA Siskiyou 12/1/2011 65 Geothermal 7/14/2004 Dennis Gilles Calpine Siskiyou Geothermal Partners, L.P. 707-431-6058 Approved 60001C Pre-Certification Glass Mountain
RPS 11.1 ALARA Programs 12/31/99
Broader source: Energy.gov [DOE]
The objective of this surveillance is to evaluate the effectiveness of the contractor's implementation of a program to minimize doses to ionizing radiation As Low As Reasonably Achievable (ALARA)....
Johnston LFG (MA RPS Biomass Facility | Open Energy Information
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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOf Kilauea Volcano, Hawaii | Wind FarmJeffersonJiminy PeakKansas: EnergyLFG
Webinar Presentation - Energy Storage in State RPS - Dec. 19, 2011 |
Broader source: Energy.gov (indexed) [DOE]
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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China 2015ofDepartment of EnergyThe U.S. Department of Energyofof EnergyBelow
RPS Collaborative Webinar: Using AVERT to Estimate the Emissions Benefits
Broader source: Energy.gov (indexed) [DOE]
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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014, an OHASeptember 2010In addition to 1 |D I S P URFIof Clean Energy
Webinar Presentation - Energy Storage in State RPS - Dec. 19, 2011 |
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 DataDepartment of Energy Your DensityEnergy U.S.-China Electric Vehicle and03/02ReportWaste-to-Energy|and
NYSERDA's RPS Customer Sited Tier Fuel Cell Program
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 DataDepartment of Energy Your Density Isn'tOrigin of Contamination in Many Devils Wash,Energy NREL JobNSRC_MOU.pdf2 SaveNYSERDA
In 1972, Congress enacted the MMPA,
and Wildlife Service are the lead federal agencies for enforcing this law to protect marine mammals. The MMPA into the air. This will help prevent marine debris and keep the ocean clean and healthy. Â· Tell your families protects all whales, dolphins, seals, sea lions, porpoises, manatees, polar bears, otters, and walruses
RPS Status Report Q1 & Q2 2012 Page 2 I. ABOUT THE RPS AND THIS REPORT
-scale renewable energy development in California, there are other programs that stimulate development of customer- side renewable generation. The California Solar Initiative (CSI) and Self-Generation Incentive Program (SGIP) provide incentives for customers to install renewable distributed generation technologies
Timed model-based programming : executable specifications for robust mission-critical sequences
Ingham, Michel D. (Michel Donald), 1972-
2003-01-01T23:59:59.000Z
There is growing demand for high-reliability embedded systems that operate robustly and autonomously in the presence of tight real-time constraints. For robotic spacecraft, robust plan execution is essential during ...
A Polynomial Chaos Approach to the Robust Analysis of the Dynamic Behaviour of Friction Systems
Paris-Sud XI, Université de
. Key word: Dry friction systems, Nonlinear dynamic systems, stability, limit cycle, robustness, uncertainty propagation, polynomial chaos, Lyapunov function, SOS programming. 1. Introduction Dry friction1 A Polynomial Chaos Approach to the Robust Analysis of the Dynamic Behaviour of Friction Systems
Python Materials Genomics (pymatgen): A robust, open-source python library for materials analysis
Ceder, Gerbrand
Python Materials Genomics (pymatgen): A robust, open-source python library for materials analysis-throughput a b s t r a c t We present the Python Materials Genomics (pymatgen) library, a robust, open
Wadia, Anosh Porus
2011-10-21T23:59:59.000Z
Engineering design methods focus on developing products that are innovative, robust, and multi-functional. In this context, the term robust refers to a product's ability to accomplish successfully its predetermined functions. ...
Zhang, Wenyi
2010-01-01T23:59:59.000Z
thesis contributes to many aspects of microphone array based speech pro- cessing; robust beamforming algorithms, insights into blind
Reliable p-median facility location problem: two-stage robust models ...
2012-12-18T23:59:59.000Z
constraint Generation Method. Technical Report. submitted. Zhao, L., Zeng, B., 2010. Robust Unit Commitment Problem with Demand Response and Wind.
Robustness and device independence of verifiable blind quantum computing
Alexandru Gheorghiu; Elham Kashefi; Petros Wallden
2015-02-09T23:59:59.000Z
Recent advances in theoretical and experimental quantum computing brings us closer to scalable quantum computing devices. This lead researchers to develop protocols for verifying the correct functionality of quantum operations. In this paper we address key challenges to make quantum verification protocols applicable to experimental implementations. We prove the robustness of the single server verification protocol of Fitzsimons and Kashefi (2012) which is based on universal blind quantum computing. The robustness of this protocol makes possible its composition with the device-independent protocol of Reichardt, Unger and Vazirani (2013). The new composite protocol inherits the device independence from Reichardt, Unger and Vazirani protocol while it leads to a lower round complexity for the verification of entangled quantum servers scenario. Finally, we give a fault tolerant version of the Fitzsimons and Kashefi protocol which suggests that the composite protocol can also be made fault tolerant.
Robust Monotonic Optimization Framework for Multicell MISO Systems
Björnson, Emil; Bengtsson, Mats; Ottersten, Björn
2011-01-01T23:59:59.000Z
The performance of multiuser systems is both difficult to measure fairly and to solve optimally. Most resource allocation problems are non-convex, even under simplifying assumptions such as perfect channel knowledge, homogeneous channel properties among users, and simple power constraints. Herein, we establish a general optimization framework that systematically solves these problems to global optimality. The proposed branch-reduce-and-bound (BRB) algorithm handles general multicell downlink systems with single-antenna users, multiantenna transmitters, arbitrary linear power constraints, and robustness to channel uncertainty. The problem of robust optimization with fairness-profile is solved at each iteration, which is a quasi-convex problem and a novel generalization of regular max-min fairness. The BRB algorithm is in general computationally costly, but it shows far better convergence than the previously known outer polyblock approximation algorithm. Our framework is suitable for computing benchmarks in gen...
Robust Collimation Control of Laser-Generated Ion Beam
Kawata, S; Kamiyama, D; Nagashima, T; Barada, D; Gu, Y J; Li, X; Yu, Q; Kong, Q; Wang, P X
2015-01-01T23:59:59.000Z
The robustness of a structured collimation device is discussed for an intense-laser-produced ion beam. In this paper the ion beam collimation is realized by the solid structured collimation device, which produces the transverse electric field; the electric field contributes to reduce the ion beam transverse velocity and collimate the ion beam. Our 2.5 dimensional particle-in cell simulations demonstrate that the collimation device is rather robust against the changes in the laser parameters and the collimation target sizes. The intense short-pulse lasers are now available, and are used to generate an ion beam. The issues in the laser ion acceleration include an ion beam collimation, ion energy spectrum control, ion production efficiency, ion energy control, ion beam bunching, etc. The laser-produced ion beam tends to expand in the transverse and longitudinal directions during the ion beam propagation. The ion beam collimation is focused in this paper.
Recap Weak Normal EC Strong Normal EC Robustness Combined with WCT Equivalence Class Testing
Mousavi, Mohammad
Recap Weak Normal EC Strong Normal EC Robustness Combined with WCT Equivalence Class Testing: Equivalence Class Testing #12;Recap Weak Normal EC Strong Normal EC Robustness Combined with WCT Outline Recap Weak Normal EC Strong Normal EC Robustness Combined with WCT Mousavi: Equivalence Class Testing #12
Robust control strategy for PV system integration in distribution systems M.J. Hossain a,
Pota, Himanshu Roy
Robust control strategy for PV system integration in distribution systems M.J. Hossain a, , T t s " Robust control provides flexible photovoltaic (PV) accommodations. " A robust PV control can significantly enhance the penetration level. " The change in volatile PV generations is considered
Robust Beamforming for Two-Way Relay Systems
Aziz, Ahsan
2013-08-14T23:59:59.000Z
-way relay (TWR) systems. We will then discuss the concept of beamforming in wireless communications system and its application to relay networks. Next, we will introduce the concept of robust beamforming followed by a discussion on prior works... achieving a better decoding of the intended information. The applications of channel coding techniques for TWR systems by the authors of [6], where they introduced the use of lattice codes to directly decode a function of the two transmitted signals...
Robust, High-Throughput Analysis of Protein Structures
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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiation Protection TechnicalResonantNovember 15 toAdvances WindRobust,
Smooth optimal quantum control for robust solid state spin magnetometry
Tobias Nöbauer; Andreas Angerer; Björn Bartels; Michael Trupke; Stefan Rotter; Jörg Schmiedmayer; Florian Mintert; Johannes Majer
2014-12-16T23:59:59.000Z
Nitrogen-vacancy centers in diamond show great potential as magnetic, electric and thermal sensors which are naturally packaged in a bio-compatible material. In particular, NV-based magnetometers combine small sensor volumes with high sensitivities under ambient conditions. The practical operation of such sensors, however, requires advanced quantum control techniques that are robust with respect to experimental and material imperfections, control errors, and noise. Here, we present a novel approach that uses Floquet theory to efficiently generate smooth and simple quantum control pulses with tailored robustness properties. We verify their performance by applying them to a single NV center and by characterising the resulting quantum gate using quantum process tomography. We show how the sensitivity of NV-ensemble magnetometry schemes can be improved by up to two orders of magnitude by compensating for inhomogeneities in both the control field and the spin transition frequency. Our approach is ideally suited for a wide variety of quantum technologies requiring high-fidelity, robust control under tight bandwidth requirements, such as spin-ensemble based memories involving high-Q cavities.
emphases given on the optimal control portion. Under optimal control, topics will include the linear-domain (or classical) control (at the level of ME 404) and linear system theory (at the level of ME 501ENG ME/EC/SE 701: Optimal and robust control Fall 2011 ENG ME/EC/SE 701: Optimal and Robust Control
Robust Dynamical Decoupling Sequences for Individual Nuclear Spin Addressing
J. Casanova; J. F. Haase; Z. -Y. Wang; M. B. Plenio
2015-06-11T23:59:59.000Z
We propose the use of non-equally spaced decoupling pulses for high-resolution selective addressing of nuclear spins by a quantum sensor. The analytical model of the basic operating principle is supplemented by detailed numerical studies that demonstrate the high degree of selectivity and the robustness against static and dynamic control field errors of this scheme. We exemplify our protocol with an NV center-based sensor to demonstrate that it enables the identification of individual nuclear spins that form part of a large spin ensemble.
Robust quantum parameter estimation: Coherent magnetometry with feedback
Stockton, John K.; Geremia, J.M.; Doherty, Andrew C.; Mabuchi, Hideo [Norman Bridge Laboratory of Physics, Mail Code 12-33, California Institute of Technology, Pasadena, California 91125 (United States)
2004-03-01T23:59:59.000Z
We describe the formalism for optimally estimating and controlling both the state of a spin ensemble and a scalar magnetic field with information obtained from a continuous quantum limited measurement of the spin precession due to the field. The full quantum parameter estimation model is reduced to a simplified equivalent representation to which classical estimation and control theory is applied. We consider both the tracking of static and fluctuating fields in the transient and steady-state regimes. By using feedback control, the field estimation can be made robust to uncertainty about the total spin number.
The robustness of block truncation coding for image compression
Hinojosa, Teresa Yvonne
1995-01-01T23:59:59.000Z
2: Suppose ? &0 and ? & 0, then similarly, we again conclude that t)r = 0 and thus this is not a possible solution. 12 BE BE Case 3: Suppose ? 20 and ? & 0, then Ba Bb )t(r = ? g x, - a + g x. , - b x, sr tl = ? gx, . -a-gx, +b x, sr 2 2a 2..., ? g, a*(qq- )axa~q( -q)). BE BE Case 4: Suppose ? & 0 and ? 2 0, then Ba Bo similarly to case 3, )t(( will be given by equation (11). Thus for practical cases, we use equation (11) as the standard ty equation and use it to calculate the robustness...
Robust Morphological Measures for Large-Scale Structure
T. Buchert
1994-12-17T23:59:59.000Z
A complete family of statistical descriptors for the morphology of large--scale structure based on Minkowski--Functionals is presented. These robust and significant measures can be used to characterize the local and global morphology of spatial patterns formed by a coverage of point sets which represent galaxy samples. Basic properties of these measures are highlighted and their relation to the `genus statistics' is discussed. Test models like a Poissonian point process and samples generated from a Voronoi--model are put into perspective.
Conductive and robust nitride buffer layers on biaxially textured substrates
Sankar, Sambasivan [Chicago, IL; Goyal, Amit [Knoxville, TN; Barnett, Scott A [Evanston, IL; Kim, Ilwon [Skokie, IL; Kroeger, Donald M [Knoxville, TN
2009-03-31T23:59:59.000Z
The present invention relates to epitaxial, electrically conducting and mechanically robust, cubic nitride buffer layers deposited epitaxially on biaxially textured substrates such as metals and alloys. The invention comprises of a biaxially textured substrate with epitaxial layers of nitrides. The invention also discloses a method to form such epitaxial layers using a high rate deposition method as well as without the use of forming gases. The invention further comprises epitaxial layers of oxides on the biaxially textured nitride layer. In some embodiments the article further comprises electromagnetic devices which may have superconducting properties.
Robust manipulation of superconducting qubits in the presence of fluctuations
Daoyi Dong; Chunlin Chen; Bo Qi; Ian R. Petersen; Franco Nori
2014-08-07T23:59:59.000Z
Superconducting quantum systems are promising candidates for quantum information processing due to their scalability and design flexibility. However, the existence of defects, fluctuations, and inaccuracies is unavoidable for practical superconducting quantum circuits. In this paper, a sampling-based learning control (SLC) method is used to guide the design of control fields for manipulating superconducting quantum systems. Numerical results for one-qubit systems and coupled two-qubit systems show that the "smart" fields learned using the SLC method can achieve robust manipulation of superconducting qubits even in the presence of large fluctuations and inaccuracies.
Achieving Robustness to Uncertainty for Financial Decision-making
Barnum, George M. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Van Buren, Kendra L. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Hemez, Francois M. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Song, Peter [Univ. of Pennsylvania, Philadelphia, PA (United States)
2014-01-10T23:59:59.000Z
This report investigates the concept of robustness analysis to support financial decision-making. Financial models, that forecast future stock returns or market conditions, depend on assumptions that might be unwarranted and variables that might exhibit large fluctuations from their last-known values. The analysis of robustness explores these sources of uncertainty, and recommends model settings such that the forecasts used for decision-making are as insensitive as possible to the uncertainty. A proof-of-concept is presented with the Capital Asset Pricing Model. The robustness of model predictions is assessed using info-gap decision theory. Info-gaps are models of uncertainty that express the “distance,” or gap of information, between what is known and what needs to be known in order to support the decision. The analysis yields a description of worst-case stock returns as a function of increasing gaps in our knowledge. The analyst can then decide on the best course of action by trading-off worst-case performance with “risk”, which is how much uncertainty they think needs to be accommodated in the future. The report also discusses the Graphical User Interface, developed using the MATLAB® programming environment, such that the user can control the analysis through an easy-to-navigate interface. Three directions of future work are identified to enhance the present software. First, the code should be re-written using the Python scientific programming software. This change will achieve greater cross-platform compatibility, better portability, allow for a more professional appearance, and render it independent from a commercial license, which MATLAB® requires. Second, a capability should be developed to allow users to quickly implement and analyze their own models. This will facilitate application of the software to the evaluation of proprietary financial models. The third enhancement proposed is to add the ability to evaluate multiple models simultaneously. When two models reflect past data with similar accuracy, the more robust of the two is preferable for decision-making because its predictions are, by definition, less sensitive to the uncertainty.
Robust Polymer Composite Membranes for Hydrogen Separation | Department of
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 DataDepartment of Energy Your Density Isn'tOrigin ofEnergy at Waste-to-Energy usingofRetrofittingFundA l i c e L iEnergy Robust
Robust, High-Throughput Analysis of Protein Structures
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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Scienceand Requirements RecentlyElectronicResources ResourcesRobust, High-Throughput Analysis of
Robust, High-Throughput Analysis of Protein Structures
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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Scienceand Requirements RecentlyElectronicResources ResourcesRobust, High-Throughput Analysis
Robust, High-Throughput Analysis of Protein Structures
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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiation Protection TechnicalResonantNovember 15 toAdvances WindRobust, High-Throughput
Robust Limits on Lorentz Violation from Gamma-Ray Bursts
John Ellis; Nick E. Mavromatos; Dimitri V. Nanopoulos; Alexander S. Sakharov; Edward K. G. Sarkisyan
2005-10-06T23:59:59.000Z
We constrain the possibility of a non-trivial refractive index in free space corresponding to an energy-dependent velocity of light: c(E) \\simeq c_0 (1 - E/M), where M is a mass scale that might represent effect of quantum-gravitational space-time foam, using the arrival times of sharp features observed in the intensities of radiation with different energies from a large sample of gamma-ray bursters (GRBs) with known redshifts. We use wavelet techniques to identify genuine features, which we confirm in simulations with artificial added noise. Using the weighted averages of the time-lags calculated using correlated features in all the GRB light curves, we find a systematic tendency for more energetic photons to arrive earlier. However, there is a very strong correlation between the parameters characterizing an intrinsic time-lag at the source and a distance-dependent propagation effect. Moreover, the significance of the earlier arrival times is less evident for a subsample of more robust spectral structures. Allowing for intrinsic stochastic time-lags in these features, we establish a statistically robust lower limit: M > 0.9x10^{16} GeV on the scale of violation of Lorentz invariance.
Robust design and model validation of nonlinear compliant micromechanisms.
Howell, Larry L. (Brigham Young University, Provo, UT); Baker, Michael Sean; Wittwer, Jonathan W. (Brigham Young University, Provo, UT)
2005-02-01T23:59:59.000Z
Although the use of compliance or elastic flexibility in microelectromechanical systems (MEMS) helps eliminate friction, wear, and backlash, compliant MEMS are known to be sensitive to variations in material properties and feature geometry, resulting in large uncertainties in performance. This paper proposes an approach for design stage uncertainty analysis, model validation, and robust optimization of nonlinear MEMS to account for critical process uncertainties including residual stress, layer thicknesses, edge bias, and material stiffness. A fully compliant bistable micromechanism (FCBM) is used as an example, demonstrating that the approach can be used to handle complex devices involving nonlinear finite element models. The general shape of the force-displacement curve is validated by comparing the uncertainty predictions to measurements obtained from in situ force gauges. A robust design is presented, where simulations show that the estimated force variation at the point of interest may be reduced from {+-}47 {micro}N to {+-}3 {micro}N. The reduced sensitivity to process variations is experimentally validated by measuring the second stable position at multiple locations on a wafer.
On the robust optimization to the uncertain vaccination strategy problem
Chaerani, D., E-mail: d.chaerani@unpad.ac.id; Anggriani, N., E-mail: d.chaerani@unpad.ac.id; Firdaniza, E-mail: d.chaerani@unpad.ac.id [Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Padjadjaran Indonesia, Jalan Raya Bandung Sumedang KM 21 Jatinangor Sumedang 45363 (Indonesia)
2014-02-21T23:59:59.000Z
In order to prevent an epidemic of infectious diseases, the vaccination coverage needs to be minimized and also the basic reproduction number needs to be maintained below 1. This means that as we get the vaccination coverage as minimum as possible, thus we need to prevent the epidemic to a small number of people who already get infected. In this paper, we discuss the case of vaccination strategy in term of minimizing vaccination coverage, when the basic reproduction number is assumed as an uncertain parameter that lies between 0 and 1. We refer to the linear optimization model for vaccination strategy that propose by Becker and Starrzak (see [2]). Assuming that there is parameter uncertainty involved, we can see Tanner et al (see [9]) who propose the optimal solution of the problem using stochastic programming. In this paper we discuss an alternative way of optimizing the uncertain vaccination strategy using Robust Optimization (see [3]). In this approach we assume that the parameter uncertainty lies within an ellipsoidal uncertainty set such that we can claim that the obtained result will be achieved in a polynomial time algorithm (as it is guaranteed by the RO methodology). The robust counterpart model is presented.
A robust, scanning quantum system for nanoscale sensing and imaging
P. Maletinsky; S. Hong; M. S. Grinolds; B. Hausmann; M. D. Lukin; R. -L. Walsworth; M. Loncar; A. Yacoby
2011-08-22T23:59:59.000Z
Controllable atomic-scale quantum systems hold great potential as sensitive tools for nanoscale imaging and metrology. Possible applications range from nanoscale electric and magnetic field sensing to single photon microscopy, quantum information processing, and bioimaging. At the heart of such schemes is the ability to scan and accurately position a robust sensor within a few nanometers of a sample of interest, while preserving the sensor's quantum coherence and readout fidelity. These combined requirements remain a challenge for all existing approaches that rely on direct grafting of individual solid state quantum systems or single molecules onto scanning-probe tips. Here, we demonstrate the fabrication and room temperature operation of a robust and isolated atomic-scale quantum sensor for scanning probe microscopy. Specifically, we employ a high-purity, single-crystalline diamond nanopillar probe containing a single Nitrogen-Vacancy (NV) color center. We illustrate the versatility and performance of our scanning NV sensor by conducting quantitative nanoscale magnetic field imaging and near-field single-photon fluorescence quenching microscopy. In both cases, we obtain imaging resolution in the range of 20 nm and sensitivity unprecedented in scanning quantum probe microscopy.
The robustness of agent-based models of electricity wholesale markets
Newberry, David
2012-05-28T23:59:59.000Z
The robustness of agent-based models of electricity wholesale markets David Newberry May 2012 CWPE 1228 & EPRG 1213 The robustness of agent-based model of electricity wholesale markets... David Newberry May 2012 CWPE 1228 & EPRG 1213 www.eprg.group.cam.ac.uk E P R G W O R K IN G P A P E R Abstract The robustness of agent-based models of electricity wholesale markets EPRG Working Paper 1213 Cambridge...
Analysis and synthesis of HVDC controls for robust stability of power systems
Venkataraman, S.; Khammash, M.H.; Vittal, V. [Iowa State Univ., Ames, IA (United States). Dept. of Electrical Engineering and Computer Engineering] [Iowa State Univ., Ames, IA (United States). Dept. of Electrical Engineering and Computer Engineering
1995-11-01T23:59:59.000Z
High Voltage DC (HVDC) links have controllable characteristics with potential for affecting system stability. This paper follows the robustness methodology procedure to analyze the stability robustness of HVDC controls in power systems over a range of operating conditions. A novel method to design power system controllers using the robustness methodology is also proposed. Numerical results for a sample test-system are obtained and compared with those obtained by conventional techniques.
Enaction and Enactive Interfaces: A Handbook of Terms 4 Annie Luciani [ACROE&INPG
Paris-Sud XI, Université de
, before the Lanier's virtual reality, the term artificial reality had been used by James Foley [Foley, [Sutherland, 1963], and before, and conversely, to Lanier, J. Foley adopted the vis-à-vis point of view of Terms 5 [Foley, 1987]. The Foley's meaning refers to an instrument-in-hand approach. Here, the virtual
Enaction and Enactive Interfaces: A Handbook of Terms 3 5-$#/7$-+#%89:!
Paris-Sud XI, UniversitÃ© de
Zc of the remote environment seen by the teleoperation medium; and on the other side the impedance Z, the functional properties of the remaining non-transparent part of the human environment medium cannot, "they should allow pro- ducing the same man/environment interac- tion as in the direct natural
An Exact Algorithm for Two-stage Robust Optimization with Mixed ...
2012-01-10T23:59:59.000Z
Robust unit commitment problem with demand response and wind energy. Technical report, available in optimization-online, University of South Florida, 2010.
Robust Nitrogen Oxide/Ammonia Sensors for Vehicle On-board Emissions...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting ace079mukundan2012o.pdf More Documents & Publications Robust...
August 2001 O.E. Karasan , M.C. Pinar , H. Yaman The Robust ...
Two-Stage Robust Network Flow and Design for Demand Uncertainty April 2005 ... Approach for Large Scale Full Factorial Scenario Design of Data Uncertainty
a min-max regret robust optimization approach for large scale full ...
admin
2007-07-20T23:59:59.000Z
the full-factorial scenario design of data uncertainty. The proposed algorithm is shown to be efficient for solving large-scale min-max regret robust optimization ...
LETTER Communicated by Valerie Ventura Information-Geometric Measures as Robust Estimators
Fellous, Jean-Marc
LETTER Communicated by Valerie Ventura Information-Geometric Measures as Robust Estimators¨un, & Iyengar, 2005; Kass, Ventura, & Brown, 2005; Tatsuno, Lipa, & McNaughton, 2006; Shimazaki & Shinomoto
Robust quantum control using smooth pulses and topological winding
Edwin Barnes; Xin Wang; S. Das Sarma
2015-01-16T23:59:59.000Z
The greatest challenge in achieving the high level of control needed for future technologies based on coherent quantum systems is the decoherence induced by the environment. Here, we present an analytical approach that yields explicit constraints on the driving field which are necessary and sufficient to ensure that the leading-order noise-induced errors in a qubit's evolution cancel exactly. We derive constraints for two of the most common types of noise that arise in qubits: slow fluctuations of the qubit energy splitting and fluctuations in the driving field itself. By theoretically recasting a phase in the qubit's wavefunction as a topological winding number, we can satisfy the noise-cancelation conditions by adjusting driving field parameters without altering the target state or quantum evolution. We demonstrate our method by constructing robust quantum gates for two types of spin qubit: phosphorous donors in silicon and nitrogen-vacancy centers in diamond.
Frequency tracking and parameter estimation for robust quantum state estimation
Ralph, Jason F. [Department of Electrical Engineering and Electronics, University of Liverpool, Brownlow Hill, Liverpool L69 3GJ (United Kingdom); Jacobs, Kurt [Department of Physics, University of Massachusetts at Boston, 100 Morrissey Blvd, Boston, Massachusetts 02125 (United States); Hill, Charles D. [Centre for Quantum Computation and Communication Technology, School of Physics, University of Melbourne, Victoria 3010 (Australia)
2011-11-15T23:59:59.000Z
In this paper we consider the problem of tracking the state of a quantum system via a continuous weak measurement. If the system Hamiltonian is known precisely, this merely requires integrating the appropriate stochastic master equation. However, even a small error in the assumed Hamiltonian can render this approach useless. The natural answer to this problem is to include the parameters of the Hamiltonian as part of the estimation problem, and the full Bayesian solution to this task provides a state estimate that is robust against uncertainties. However, this approach requires considerable computational overhead. Here we consider a single qubit in which the Hamiltonian contains a single unknown parameter. We show that classical frequency estimation techniques greatly reduce the computational overhead associated with Bayesian estimation and provide accurate estimates for the qubit frequency.
A robust algorithm for sky background computation in CCD images
F. Patat
2003-01-27T23:59:59.000Z
In this paper we present a non-interactive algorithm to estimate a representative value for the sky background on CCD images. The method we have devised uses the mode as a robust estimator of the background brightness in sub-windows distributed across the input frame. The presence of contaminating objects is detected through the study of the local intensity distribution function and the perturbed areas are rejected using a statistical criterion which was derived from numerical simulations. The technique has been extensively tested on a large amount of images and it is suitable for fully automatic processing of large data volumes. The implementation we discuss here has been optimized for the ESO-FORS1 instrument, but it can be easily generalized to all CCD imagers with a sufficiently large field of view. The algorithm has been successfully used for the UBVRI ESO-Paranal night sky brightness survey (Patat 2003).
Microscopy image segmentation tool: Robust image data analysis
Valmianski, Ilya, E-mail: ivalmian@ucsd.edu; Monton, Carlos; Schuller, Ivan K. [Department of Physics and Center for Advanced Nanoscience, University of California San Diego, 9500 Gilman Drive, La Jolla, California 92093 (United States)] [Department of Physics and Center for Advanced Nanoscience, University of California San Diego, 9500 Gilman Drive, La Jolla, California 92093 (United States)
2014-03-15T23:59:59.000Z
We present a software package called Microscopy Image Segmentation Tool (MIST). MIST is designed for analysis of microscopy images which contain large collections of small regions of interest (ROIs). Originally developed for analysis of porous anodic alumina scanning electron images, MIST capabilities have been expanded to allow use in a large variety of problems including analysis of biological tissue, inorganic and organic film grain structure, as well as nano- and meso-scopic structures. MIST provides a robust segmentation algorithm for the ROIs, includes many useful analysis capabilities, and is highly flexible allowing incorporation of specialized user developed analysis. We describe the unique advantages MIST has over existing analysis software. In addition, we present a number of diverse applications to scanning electron microscopy, atomic force microscopy, magnetic force microscopy, scanning tunneling microscopy, and fluorescent confocal laser scanning microscopy.
Robustness of the detection probability for the sign detector
Huse, Elizabeth Ann
2003-01-01T23:59:59.000Z
-to-noise power ratio, yielding S Je Viewing P as a height function above this parameter manifold, a new manifold called the "performance manifold" is generated. As the performance manifold is traversed, the robustness of P can be explored by observing..., T=2, and k=0. 5, 1, 2 (I ON- IONS- I ISIS, SMO, ~ 102 0100- 0 02 0 ~ 00 00 I 12 IA '10 Il 2 M~I I 1, 00101 Selgel TROIS 0 OA 0 ~ 00 IN I 1. 1 IA IA IA 2 MaNge for lN, SOIM, NS IN 0 02 0 ~ OA 00 I 12 IA 10 1. 0 2 Figure 4: Marslope for+0...
Quantum Limits and Robustness of Nonlinear Intracavity Absorption Spectroscopy
John K. Stockton; Ari K. Tuchman
2008-10-23T23:59:59.000Z
We investigate the limits of intracavity absorption spectroscopy with nonlinear media. Using a common theoretical framework, we compare the detection of a trace gas within an undriven cavity with gain near and above threshold, a driven cavity with gain kept just below threshold, and a cavity driven close to the saturation point of a saturable absorber. These phase-transition-based metrology methods are typically quantum-limited by spontaneous emission, and we compare them to the empty cavity shotnoise-limited case. Although the fundamental limits achievable with nonlinear media do not surpass the empty cavity limits, we show that nonlinear methods are more robust against certain technical noise models. This recognition may have applications in spectrometer design for devices operating in non-ideal field environments.
Reduce, reuse, recycle, for robust cluster state generation
Clare Horsman; Katherine L. Brown; William J. Munro; Vivien M. Kendon
2011-05-03T23:59:59.000Z
Efficient generation of cluster states is crucial for engineering large-scale measurement-based quantum computers. Hybrid matter-optical systems offer a robust, scalable path to this goal. Such systems have an ancilla which acts as a bus connecting the qubits. We show that by generating smaller cluster "Lego bricks", reusing one ancilla per brick, the cluster can be produced with maximal efficiency, requiring fewer than half the operations compared with no bus reuse. By reducing the time required to prepare sections of the cluster, bus reuse more than doubles the size of the computational workspace that can be used before decoherence effects dominate. A row of buses in parallel provides fully scalable cluster state generation requiring only 20 CPhase gates per bus use.
Robust mixtures in the presence of measurement errors
Jianyong Sun; Ata Kaban; Somak Raychaudhury
2007-09-06T23:59:59.000Z
We develop a mixture-based approach to robust density modeling and outlier detection for experimental multivariate data that includes measurement error information. Our model is designed to infer atypical measurements that are not due to errors, aiming to retrieve potentially interesting peculiar objects. Since exact inference is not possible in this model, we develop a tree-structured variational EM solution. This compares favorably against a fully factorial approximation scheme, approaching the accuracy of a Markov-Chain-EM, while maintaining computational simplicity. We demonstrate the benefits of including measurement errors in the model, in terms of improved outlier detection rates in varying measurement uncertainty conditions. We then use this approach in detecting peculiar quasars from an astrophysical survey, given photometric measurements with errors.
Robust and efficient overset grid assembly for partitioned unstructured meshes
Roget, Beatrice, E-mail: broget@uwyo.edu; Sitaraman, Jayanarayanan, E-mail: jsitaram@uwyo.edu
2014-03-01T23:59:59.000Z
This paper presents a method to perform efficient and automated Overset Grid Assembly (OGA) on a system of overlapping unstructured meshes in a parallel computing environment where all meshes are partitioned into multiple mesh-blocks and processed on multiple cores. The main task of the overset grid assembler is to identify, in parallel, among all points in the overlapping mesh system, at which points the flow solution should be computed (field points), interpolated (receptor points), or ignored (hole points). Point containment search or donor search, an algorithm to efficiently determine the cell that contains a given point, is the core procedure necessary for accomplishing this task. Donor search is particularly challenging for partitioned unstructured meshes because of the complex irregular boundaries that are often created during partitioning. Another challenge arises because of the large variation in the type of mesh-block overlap and the resulting large load imbalance on multiple processors. Desirable traits for the grid assembly method are efficiency (requiring only a small fraction of the solver time), robustness (correct identification of all point types), and full automation (no user input required other than the mesh system). Additionally, the method should be scalable, which is an important challenge due to the inherent load imbalance. This paper describes a fully-automated grid assembly method, which can use two different donor search algorithms. One is based on the use of auxiliary grids and Exact Inverse Maps (EIM), and the other is based on the use of Alternating Digital Trees (ADT). The EIM method is demonstrated to be more efficient than the ADT method, while retaining robustness. An adaptive load re-balance algorithm is also designed and implemented, which considerably improves the scalability of the method.
Robust InformationTheoretic Private Information Retrieval # Amos Beimel + Yoav Stahl #
Beimel, Amos
of server or communication problems. In this work, we design robust PIR protocols, i.e., protocols which various roÂ bust PIR protocols giving different tradeoffs between the different parameters. We first present a generic transformation from regular PIR protocols to robust PIR protocols. We then present two
ICOSSAR 2009 September 14th, 2009 On the Impact of Robust Statistics
Hable, Robert
about exact, true probabilities Successfully applied to many engineering problems Robust Statistics statistics hardly received attention in engineering science Robert Hable University of Bayreuth, Germany PageICOSSAR 2009 September 14th, 2009 On the Impact of Robust Statistics on Imprecise Probability
Switched system modeling and robust steering control in a hot strip mill
Paris-Sud XI, Université de
Switched system modeling and robust steering control in a hot strip mill I. Malloci J. Daafouz C. Abstract: In this article, a robust steering control for the last phase of the rolling process in a hot. The switchings make the system unstable and the task of the tail end steering control consists in guaranteeing
A robust PCR method for high-dimensional regressors and Sabine Verboven
(NMR), Ultra-Violet spectrometry (UV), Energy dispersive X-Ray Flu- orescence spectrometry (EDA robust PCR method for high-dimensional regressors Mia Hubert and Sabine Verboven Revised version, Belgium, sabine.verboven@ua.ac.be. 1 #12;A robust PCR method for high-dimensional regressors SHORT TITLE
Lefranc, Marc
Robustness of Circadian Clocks to Daylight Fluctuations: Hints from the Picoeucaryote Ostreococcus in daylight intensity on the core circadian oscillator, a type of perturbation that has been rarely considered F, Bouget F-Y, et al. (2010) Robustness of Circadian Clocks to Daylight Fluctuations: Hints from
Efficient and Robust Non-Rigid Least-Squares Rectification of Medical Images
Orchard, Jeffery J.
imaging, robust statistics, least-squares. 1 Introduction Advances in medical imaging techniques haveEfficient and Robust Non-Rigid Least-Squares Rectification of Medical Images A. Wong Department of the major problems facing medical imaging is the presence of geometric distortions inherent in an imaging
Pâris, Jehan-François
Dandelion: Cooperative Content Distribution with Robust Incentives Michael Sirivianos Xiaowei Yang in coopera- tive content distribution. First, it provides robust incentives for clients who possess content- Web [13,24, 30, 36] lack a viable economic model to scale. This work explores a cost
Yang, Xiaowei
Dandelion: Cooperative Content Distribution with Robust Incentives Michael Sirivianos Xiaowei Yang- tive content distribution. First, it provides robust incentives for clients who possess content- Web [11,20, 26, 31] lack a viable economic model to scale. This work explores a cost
Sontag, Eduardo
of input constraint and an internal model-based regulator is designed. Keywords: Nonlinear Output Regulation, Magnetic Lev- itation System, Complementary Current Condition, Robust Control, Saturated FeedbackRobust Regulation for a Magnetic Levitation System* Claudio Bonivento Luca Gentili Lorenzo Marconi
A Robust Boundary Detection Algorithm Based on Connectivity Only for 3D Wireless Sensor Networks
Jin, Miao
A Robust Boundary Detection Algorithm Based on Connectivity Only for 3D Wireless Sensor Networks algorithm, dubbed Coconut, for 3D wireless sensor networks. It first constructs a tetrahedral structure known in practical wireless sensor networks. Third, it is robust to sensor distribution, effectively
Hover Flight Control of a Small Helicopter Using Robust Backstepping and PID
Pota, Himanshu Roy
Hover Flight Control of a Small Helicopter Using Robust Backstepping and PID Tushar K. Roy and Matt the translational trajectory, while the inner loop (attitude control) controller is designed by means of PID the advantages of both robust backstepping and PID, particularly it is simple and easy to implement and tune
FPI4 5:00 ROBUST CONTROL OF PARTICLE ACCELERATORS* W. Joel D. Johnson
FPI4 5:00 ROBUST CONTROL OF PARTICLE ACCELERATORS* W. Joel D. Johnson Los Alamos National of an electron particle accelerator. This new scheme has greater stability and performance robustness than was previously achieved. 1. Introduction One application of an electron particle accelerator is to drive a Free
On the Energy Cost of Robustness and Resiliency in IP Networks , A. Caponea,
Paris-Sud XI, Université de
protocols (like MPLS) allow us to quantitatively analyze the trade-off between energy cost and levelOn the Energy Cost of Robustness and Resiliency in IP Networks B. Addisb , A. Caponea, , G different levels of resiliency and robustness impact the efficiency of energy-aware network management
Pota, Himanshu Roy
Robust Power System Stabiliser Design Using Minimax Control Approach: Validation using Real Ugrinovskii1 Abstract-- This paper addresses the problem of designing decentralized power system stabilisers for interconnected power systems using robust output feedback minimax control tech- niques. We have considered
Enhancing Efficiency and Robustness of a Photovoltaic Power System under Partial Shading
Pedram, Massoud
Enhancing Efficiency and Robustness of a Photovoltaic Power System under Partial Shading Yanzhi}@usc.edu, 2 E-mail: {yhkim, naehyuck}@elpl.snu.ac.kr Abstract Photovoltaic (PV) power systems have been widely in standalone PV systems for continuous power supply. In this paper the efficiency and robustness enhancement
Erdogan, Alper Tunga
Robust Turbo Equalization Under Channel Uncertainties Nargiz Kalantarova, Suleyman S. Kozat and Alper T. Erdogan Koc University, Istanbul, 34450, Turkey Abstract-- Robust turbo equalization over is investigated. The turbo equal- ization framework proposed in this paper contains a linear equalizer (LE
A nonlinear robust HVDC control for a parallel AC/DC power system
Qu, Zhihua
A nonlinear robust HVDC control for a parallel AC/DC power system Hongzhi Cai a , Zhihua Qu b. Keywords: Robust control; HVDC; Power system; Stability; Lyapunov method 1. Introduction It has been recognized that, through an HVDC transmission line, fast electronic control can be applied on the DC power
How robust is a neural circuit? PETER STERLING and MICHAEL FREED
Pennsylvania, University of
How robust is a neural circuit? PETER STERLING and MICHAEL FREED Department of Neuroscience! Abstract Design in engineering begins with the problem of robustness--by what factor should intrinsic to other tissues. Keywords: Retina, Circuitry, Information, Synapse, Spikes To design a bridge an engineer
An Inexpensive and Robust GPS/INS Attitude System for Automobiles
Stanford University
An Inexpensive and Robust GPS/INS Attitude System for Automobiles Santiago Alban, Stanford-cost and robust GPS/INS attitude system for automobiles, and deep integration of INS systems with GPS tracking loops. ABSTRACT Many of the sophisticated control systems of modern automobiles require measurements
Robust Downlink Beamforming in Multiuser MISO Cognitive Radio Networks
Gharavol, Ebrahim A; Mouthaan, Koenraad
2009-01-01T23:59:59.000Z
This paper studies the problem of robust downlink beamforming design in a multiuser Multi-Input Single-Output (MISO) Cognitive Radio Network (CR-Net) in which multiple Primary Users (PUs) coexist with multiple Secondary Users (SUs). Unlike conventional designs in CR-Nets, in this paper it is assumed that the Channel State Information (CSI) for all relevant channels is imperfectly known, and the imperfectness of the CSI is modeled using an Euclidean ball-shaped uncertainty set. Our design objective is to minimize the transmit power of the SU-Transmitter (SU-Tx) while simultaneously targeting a lower bound on the received Signal-to-Interference-plus-Noise-Ratio (SINR) for the SU's, and imposing an upper limit on the Interference-Power (IP) at the PUs. The design parameters at the SU-Tx are the beamforming weights, i.e. the precoder matrix. The proposed methodology is based on a worst case design scenario through which the performance metrics of the design are immune to variations in the channels. We propose thr...
Kinetic effects on robustness of electron magnetohydrodynamic structures
Hata, M. [Department of Physics, Nagoya University, Nagoya 464-8603 (Japan); Sakagami, H. [Fundamental Physics Simulation Research Division, National Institute for Fusion Science, Toki 509-5292 (Japan); Das, A. [Institute for Plasma Research, Bhat, Gandhinagar 382428 (India)
2013-04-15T23:59:59.000Z
Following recent remarkable progress in the development of high-power short-pulse lasers, exploration is ongoing into hitherto unknown phenomena at fast time scales of electrons, the understanding of which is becoming crucial. For a simplified description of such phenomena, the Electron Magnetohydrodynamics (EMHDs) fluid description is often adopted. For the possibility of electron transport in high-density plasma, exact solutions of the EMHD model in the form of electron vortex currents, together with their associated magnetic fields, have been considered. However, the fluid EMHD model does not incorporate kinetic effects. Here, the finite Larmor radius effects owing to a finite electron temperature on the robustness of the exact EMHD structures are investigated using two-dimensional particle-in-cell simulations. It is found that larger EMHD vortex structures can sustain themselves for long periods, even in high temperature plasma; however, sustaining structures at higher temperatures tends to be difficult. With increasing temperature, electrons with finite Larmor radii become disengaged from the localized region. It is also shown that structures localized in smaller regions are more difficult to sustain. A quantitative criterion in terms of the structure size and Larmor radius has been established by simulations over a wide range of parameters. Finally, we conclude that a structure, larger than about eight times the typical Larmor radius at r=R, could form and exist even under the effects of finite electron temperature.
A Robust Iterative Unfolding Method for Signal Processing
András László
2006-01-09T23:59:59.000Z
There is a well-known series expansion (Neumann series) in functional analysis for perturbative inversion of specific operators on Banach spaces. However, operators that appear in signal processing (e.g. folding and convolution of probability density functions), in general, do not satisfy the usual convergence condition of that series expansion. This article provides some theorems on the convergence criteria of a similar series expansion for this more general case, which is not covered yet by the literature. The main result is that a series expansion provides a robust unbiased unfolding and deconvolution method. For the case of the deconvolution, such a series expansion can always be applied, and the method always recovers the maximum possible information about the initial probability density function, thus the method is optimal in this sense. A very significant advantage of the presented method is that one does not have to introduce ad hoc frequency regulations etc., as in the case of usual naive deconvolution methods. For the case of general unfolding problems, we present a computer-testable sufficient condition for the convergence of the series expansion in question. Some test examples and physics applications are also given. The most important physics example shall be (which originally motivated our survey on this topic) the case of pi^0 --> gamma+gamma particle decay: we show that one can recover the initial pi^0 momentum density function form the measured single gamma momentum density function by our series expansion.
Robust activation method for negative electron affinity photocathodes
Mulhollan, Gregory A. (Dripping Springs, TX); Bierman, John C. (Austin, TX)
2011-09-13T23:59:59.000Z
A method by which photocathodes(201), single crystal, amorphous, or otherwise ordered, can be surface modified to a robust state of lowered and in best cases negative, electron affinity has been discovered. Conventional methods employ the use of Cs(203) and an oxidizing agent(207), typically carried by diatomic oxygen or by more complex molecules, for example nitrogen trifluoride, to achieve a lowered electron affinity(404). In the improved activation method, a second alkali, other than Cs(205), is introduced onto the surface during the activation process, either by co-deposition, yo-yo, or sporadic or intermittent application. Best effect for GaAs photocathodes has been found through the use of Li(402) as the second alkali, though nearly the same effect can be found by employing Na(406). Suitable photocathodes are those which are grown, cut from boules, implanted, rolled, deposited or otherwise fabricated in a fashion and shape desired for test or manufacture independently supported or atop a support structure or within a framework or otherwise affixed or suspended in the place and position required for use.
Robust Ensemble Kalman Filters and Localization for Multiple State Variables
Roh, Soojin
2014-05-23T23:59:59.000Z
l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l EnKF ?=0.9 ?=0.8 ?=0.7 ll l l l l l l l ll ll l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l EnKF Huberize Discard ? 15 ? 10 ? 5 0 5 10 t= 31 bia s l l l l l l... of 500 sample paths in Fig. 2.2, showing the trajectory of the true state, the traditional ensemble Kalman filter, and the two robust ensemble Kalman filters with efficiency ? = 0.9. The right panel in Fig.2.4 is 20 ll ll l ll l l l l l l l l l l l l l l...
Gómez de la Mora, Luz de Lourdes
2005-01-01T23:59:59.000Z
The fundamental goal of Robust Design is to improve the quality of a product by minimizing the effects of variation. A key contributor to robustness over the long term is R&D. Therefore, a framework is desired to help ...
Yao, Bin
MODERN mechanical systems, such as machine tools, microelectronics manufacturing equipment, robot ma Control of Machine Tools: An Adaptive Robust Control Approach and Comparative Experiments Bin Yao-performance robust mo- tion control of machine tools. The newly proposed adaptive robust control (ARC) is applied
Robust Secure Transmission in MISO Channels Based on Worst-Case Optimization
Huang, Jing
2011-01-01T23:59:59.000Z
This paper studies robust transmission schemes for multiple-input single-output (MISO) wiretap channels. Both the cases of direct transmission and cooperative jamming with a helper are investigated with imperfect channel state information (CSI) for the eavesdropper links. Robust transmit covariance matrices are obtained based on worst-case secrecy rate maximization, under both individual and global power constraints. For the case of an individual power constraint, we show that the non-convex maximin optimization problem can be transformed into a quasiconvex problem that can be efficiently solved with existing methods. For a global power constraint, the joint optimization of the transmit covariance matrices and power allocation between the source and the helper is studied via geometric programming. We also study the robust wiretap transmission problem for the case with a quality-of-service constraint at the legitimate receiver. Numerical results show the advantage of the proposed robust design. In particular, ...
Oil and Gas CDT Downscaling-Upscaling: A Robust Method of Linking
Henderson, Gideon
Oil and Gas CDT Downscaling-Upscaling: A Robust Method of Linking Geomechanical Simulations Geomechanical simulation; fractures; strain; flow upscaling Overview Geomechanical simulations of trap geomechanical simulation outputs as a starting point, the project will demonstrate and test the value
Advanced Motion Control: From Classical PID to Nonlinear Adaptive Robust Control
Yao, Bin
performance re- quirements of modern mechanical systems have forced control engineers to look beyond controllers in implementation. I. INTRODUCTION Modern mechanical systems such as microelectronics manAdvanced Motion Control: From Classical PID to Nonlinear Adaptive Robust Control (Plenary Paper
Linninger, Andreas A.
Temperature Collocation Algorithm for Fast and Robust Distillation Design Libin Zhang and Andreas A mixtures that exhibit suitable volatility differences.1 Hence, continuous distillation columns, along commodity manufacturing. The common practice for distillation design often involves numerous trial
Toward the assessment of mechanical robustness of ceramic multilayer capacitors (MLCs)
Wereszczak, A.A.; Breder, K.; Riester, L.; Kirkland, T.P.; Bridge, R.J.
2000-02-01T23:59:59.000Z
The present study consisted of two efforts: the measurement of several mechanical properties of dielectric ceramics in MLCs and the consideration of what effects other parameters have on MLC mechanical reliability or robustness.
Environmental Kuznets Curve for carbon dioxide emissions: lack of robustness to heterogeneity?
Paris-Sud XI, Université de
1 Environmental Kuznets Curve for carbon dioxide emissions: lack of robustness to heterogeneity applying the iterative Bayesian shrinkage procedure. The environmental Kuznets curve (EKC) hypothesis. Keywords: Environmental Kuznets curve; Bayesian shrinkage estimator; Heterogeneity JEL classification: O13
Harth, Eva M.
platforms for the fabrication of nanostruc- tured devices for advanced storage and microelec- tronicCovalent Stabilization of Nanostructures: Robust Block Copolymer Templates from Novel, crosslinked nanostructure with greater processing and fabrication potential. © 2005 Wiley Periodicals, Inc. J
Banaszuk, Andrzej; Frewen, Thomas A; Kobilarov, Marin; Mathew, George; Mezic, Igor; Pinto, Alessandro; Sahai, Tuhin; Sane, Harshad; Speranzon, Alberto; Surana, Amit
2011-01-01T23:59:59.000Z
Development of robust dynamical systems and networks such as autonomous aircraft systems capable of accomplishing complex missions faces challenges due to the dynamically evolving uncertainties coming from model uncertainties, necessity to operate in a hostile cluttered urban environment, and the distributed and dynamic nature of the communication and computation resources. Model-based robust design is difficult because of the complexity of the hybrid dynamic models including continuous vehicle dynamics, the discrete models of computations and communications, and the size of the problem. We will overview recent advances in methodology and tools to model, analyze, and design robust autonomous aerospace systems operating in uncertain environment, with stress on efficient uncertainty quantification and robust design using the case studies of the mission including model-based target tracking and search, and trajectory planning in uncertain urban environment. To show that the methodology is generally applicable to...
Ultra-efficient, Robust and Well-defined Nano-Array based Monolithic...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
This presentation demonstrates how nano-array catalysts have excellent robustness, use ultra-low amounts of PGM, and can be tuned for optimum performance. deer12guo.pdf More...
Robust Tensor Factorization Using R1 Norm Computer Science and Engineering
Huang, Heng
Robust Tensor Factorization Using R1 Norm Heng Huang Computer Science and Engineering University of Texas at Arlington heng@uta.edu Chris Ding Computer Science and Engineering University of Texas
Achieving fault tolerance via robust partitioning and N-Modular Redundancy
O'Connell, Brendan Anthony
2007-01-01T23:59:59.000Z
This thesis describes the design and performance results for the P-NMR fault tolerant avionics system architecture being developed at Draper Laboratory. The two key principles of the architecture are robust software ...
A robust motion planning approach for autonomous driving in urban areas
Fiore, Gaston A
2008-01-01T23:59:59.000Z
This thesis presents an improved sampling-based motion planning algorithm, Robust RRT, that is designed specifically for large robotic vehicles and uncertain, dynamic environments. Five main extensions have been made to ...
Robust audio-visual person verification using Web-camera video
Schultz, Daniel (Daniel T.)
2006-01-01T23:59:59.000Z
This thesis examines the challenge of robust audio-visual person verification using data recorded in multiple environments with various lighting conditions, irregular visual backgrounds, and diverse background noise. ...
Robust Nitrogen Oxide/Ammonia Sensors for Vehicle On-board Emissions...
Broader source: Energy.gov (indexed) [DOE]
2014: Robust Nitrogen oxideAmmonia Sensors for Vehicle on-board Emissions Control CumminsORNL-FEERC CRADA: NOx Control & Measurement Technology for Heavy-Duty Diesel Engines...
On the Adaptivity Gap in Two-stage Robust Linear Optimization ...
2014-12-22T23:59:59.000Z
Dec 22, 2014 ... Bej ? Cj, j ? [n],BT ei ? Ri,i ? [m]}, where Cj .... by our algorithm is different from an optimal static robust solution and it is an interesting open.
Varma, Vishal Vinod
2002-01-01T23:59:59.000Z
linear estimator and then attempt to model the system performance and robustness in a graphical manner, which admits an analysis using the differential geometric concepts of slope. We try to compare two different types of slopes, namely the slope...
A quadrature-based technique for robust design with computer simulations
Lin, Yiben
2007-01-01T23:59:59.000Z
This thesis presents a method for estimating transmitted variance to enable robust parameter design in computer simulations. This method is based on the Hermite-Gaussian quadrature for a single input. It is extended to ...
State Renewable Energy Requirements and Goals: Update Through 2007 (Update) (released in AEO2008)
Reports and Publications (EIA)
2008-01-01T23:59:59.000Z
In recent years, the Annual Energy Outlook (AEO) has tracked the growing number of states that have adopted requirements or goals for renewable energy. While there is no federal renewable generation mandate, the states have been adopting such standards for some time. AEO2005 provided a summary of all existing programs in effect at that time, and subsequent AEOs have examined new policies or changes to existing ones. Since the publication of AEO2007, four states have enacted new renewable portfolio standards (RPS) legislation, and five others have strengthened their existing RPS programs. In total, 25 states and the District of Columbia.
Efficient Computation of Info-Gap Robustness for Finite Element Models
Stull, Christopher J. [Los Alamos National Laboratory; Hemez, Francois M. [Los Alamos National Laboratory; Williams, Brian J. [Los Alamos National Laboratory
2012-07-05T23:59:59.000Z
A recent research effort at LANL proposed info-gap decision theory as a framework by which to measure the predictive maturity of numerical models. Info-gap theory explores the trade-offs between accuracy, that is, the extent to which predictions reproduce the physical measurements, and robustness, that is, the extent to which predictions are insensitive to modeling assumptions. Both accuracy and robustness are necessary to demonstrate predictive maturity. However, conducting an info-gap analysis can present a formidable challenge, from the standpoint of the required computational resources. This is because a robustness function requires the resolution of multiple optimization problems. This report offers an alternative, adjoint methodology to assess the info-gap robustness of Ax = b-like numerical models solved for a solution x. Two situations that can arise in structural analysis and design are briefly described and contextualized within the info-gap decision theory framework. The treatments of the info-gap problems, using the adjoint methodology are outlined in detail, and the latter problem is solved for four separate finite element models. As compared to statistical sampling, the proposed methodology offers highly accurate approximations of info-gap robustness functions for the finite element models considered in the report, at a small fraction of the computational cost. It is noted that this report considers only linear systems; a natural follow-on study would extend the methodologies described herein to include nonlinear systems.
Growing Self-organized Design of Efficient and Robust Complex Networks
Hayashi, Yukio
2014-01-01T23:59:59.000Z
A self-organization of efficient and robust networks is important for a future design of communication or transportation systems, however both characteristics are incompatible in many real networks. Recently, it has been found that the robustness of onion-like structure with positive degree-degree correlations is optimal against intentional attacks. We show that, by biologically inspired copying, an onion-like network emerges in the incremental growth with functions of proxy access and reinforced connectivity on a space. The proposed network consists of the backbone of tree-like structure by copyings and the periphery by adding shortcut links between low degree nodes to enhance the connectivity. It has the fine properties of the statistically self-averaging unlike the conventional duplication-divergence model, exponential-like degree distribution without overloaded hubs, strong robustness against both malicious attacks and random failures, and the efficiency with short paths counted by the number of hops as m...
Mechanically robust, electrically conductive ultralow-density carbon nanotube-based aerogels
Worsley, Marcus A; Baumann, Theodore F; Satcher, Jr., Joe H
2014-04-01T23:59:59.000Z
A method of making a mechanically robust, electrically conductive ultralow-density carbon nanotube-based aerogel, including the steps of dispersing nanotubes in an aqueous media or other media to form a suspension, adding reactants and catalyst to the suspension to create a reaction mixture, curing the reaction mixture to form a wet gel, drying the wet gel to produce a dry gel, and pyrolyzing the dry gel to produce the mechanically robust, electrically conductive ultralow-density carbon nanotube-based aerogel. The aerogel is mechanically robust, electrically conductive, and ultralow-density, and is made of a porous carbon material having 5 to 95% by weight carbon nanotubes and 5 to 95% carbon binder.
Broader source: Energy.gov [DOE]
Presentation given by Los Alamos National Laboratory at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about robust...
Broader source: Energy.gov [DOE]
Presentation given by Los Alamos National Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about robust...
Robust and Scalable Scheme to Generate Large-Scale Entanglement Webs
Keisuke Fujii; Haruki Maeda; Katsuji Yamamoto
2011-02-23T23:59:59.000Z
We propose a robust and scalable scheme to generate an $N$-qubit $W$ state among separated quantum nodes (cavity-QED systems) by using linear optics and postselections. The present scheme inherits the robustness of the Barrett-Kok scheme [Phys. Rev. A {\\bf 71}, 060310(R) (2005)]. The scalability is also ensured in the sense that an arbitrarily large $N$-qubit $W$ state can be generated with a quasi-polynomial overhead $\\sim 2^{O[(\\log_2 N)^2]}$. The process to breed the $W$ states, which we introduce to achieve the scalability, is quite simple and efficient, and can be applied for other physical systems.
Robust control pulses design for electron shuttling in solid state devices
Jun Zhang; Loren Greenman; Xiaotian Deng; K. Birgitta Whaley
2012-10-30T23:59:59.000Z
In this paper we study robust pulse design for electron shuttling in solid state devices. This is crucial for many practical applications of coherent quantum mechanical systems. Our objective is to design control pulses that can transport an electron along a chain of donors, and also make this process robust to parameter uncertainties. We formulate it as a set of optimal control problems on the special unitary group SU(n), and derive explicit expressions for the gradients of the aggregate transfer fidelity. Numerical results for a donor chain of ionized phosphorus atoms in bulk silicon demonstrate the efficacy of our algorithm.
Data Quality Assessment via Robust Clustering Rong Duan Tom Au Wei Jiang
Fisher, Kathleen
and manufacturing processes. For 1 #12;example, although total quality management (TQM) principles and techniquesData Quality Assessment via Robust Clustering Rong Duan Tom Au Wei Jiang AT&T Research Labs to improve the quality of decision making, data quality is long time ignored in many practices so
2001 -4380 -0 Aerospace EngineeringIto, Ward, and Valasek ROBUST DYNAMIC INVERSION
Valasek, John
2001 - 4380 - 0 Aerospace EngineeringIto, Ward, and Valasek ROBUST DYNAMIC INVERSION CONTROLLER DESIGN FOR THE X-38 AIAA-2001-4380 Dai Ito, Dr. Donald T. Ward, and Dr. John Valasek Aerospace Engineering AIAA GN&C Conference, Montreal, Canada 9 August 2001 #12;2001 - 4380 - 1 Aerospace Engineering
TOWARDS ROBUST 3D Z-PINCH SIMULATIONS: DISCRETIZATION AND FAST SOLVERS FOR MAGNETIC
Tuminaro, Ray S.
interest is in developing a technology for Z-pinch modeling which falls within the constraintsTOWARDS ROBUST 3D Z-PINCH SIMULATIONS: DISCRETIZATION AND FAST SOLVERS FOR MAGNETIC DIFFUSION. The mathematical model of the Z-pinch is comprised of many interacting components. One of these components
TOWARDS ROBUST 3D Z-PINCH SIMULATIONS: DISCRETIZATION AND FAST SOLVERS FOR MAGNETIC
is in developing a technology for Z-pinch modeling which falls within the constraints of an Arbitrary LagrangianTOWARDS ROBUST 3D Z-PINCH SIMULATIONS: DISCRETIZATION AND FAST SOLVERS FOR MAGNETIC DIFFUSION. The mathematical model of the Z-pinch is comprised of many interacting components. One of these components
Robust Scalable Visualized Clustering in Metric and non-Metric Spaces Geoffrey Fox
for functionality, features and performance. Visualization is valuable for steering complex analytics and we discuss applicable principle that makes many algorithms more robust and builds in the important multi-scale concept for cases with heterogeneous geometries. Further we note that the majority of datasets are in high dimension
SURVEY OF THE ROBUST CONTROL In this survey, we discuss current approaches to the robug con-
system depite uncertn knowledge of the robot's parmetr Altho ot as to linear control echniquesSURVEY OF THE ROBUST CONTROL OF ROBOTS ABSTRACr In this survey, we discuss current approaches to the robug con- trol of the motion of robots and smmarize the available liteatre on the subj The three major
30 Robust og bredygtig bioenergi september 2012 Af Brian Vad Mathiesen, Henrik Lund,
Pillai, Jayakrishnan Radhakrishna
30 Robust og bÃ¦redygtig bioenergi Â· september 2012 Af Brian Vad Mathiesen, Henrik Lund, Frede K erstatte de fossile brÃ¦ndsler med biobrÃ¦ndsler og bioenergi, og/eller i hvor hÃ¸j grad vi skal satse pÃ¥
A New Efficient and Useful Robust Optimization Approach Design for Multi-Objective Six Sigma
Coello, Carlos A. Coello
A New Efficient and Useful Robust Optimization Approach Â Design for Multi-Objective Six Sigma Koji, design for multi-objective six sigma (DFMOSS), has been developed. The DFMOSS couples the ideas of design for six sigma (DFSS) and multi-objective ge- netic algorithm (MOGA) to solve drawbacks of DFSS; DFMOSS
Seminar Robust Optimization Marc Goerigk, Corinna Kaufmann WS 13/14, TU KL
Krumke, Sven O.
, MatÂ´us Mihal'Â´ak, and Rajeev Raman. Computing minimum spanning trees with uncertainty. arXiv preprint ) Light Robustness Koller, Kathrin. [FM09, GSS+ 13] ( 6 ) Minmax Regret Spanning Tree Schreiber, Yvonne stochastic and adaptive optimization. MATHEMATICS OF OPE- RATIONS RESEARCH, 36(1):24Â54, 2011. [BKK11
A Novel Robust Communication Algorithm for Distributed Secondary Control of Islanded
Vasquez, Juan Carlos
A Novel Robust Communication Algorithm for Distributed Secondary Control of Islanded Micro of distributed generators (DGs) and loads, placed in low voltage (LV) and medium voltage (MV) distribution transmission/distribution losses and preventing electrical network congestion by shifting the generation closer
Optimal and Robust Saturated Control for a Clock Generator C. Albea S. Lesecq and D. Puschini
Paris-Sud XI, UniversitÃ© de
,i] [7]. If the clock is generated for the whole circuit, and distributed in each VFI, the maximumOptimal and Robust Saturated Control for a Clock Generator C. Albea S. Lesecq and D. Puschini control engines in each volt- age/frequency island must be taken into account to optimize the circuit
Robust Networked Control Scheme for Distributed Secondary Control of Islanded MicroGrids
Vasquez, Juan Carlos
1 Robust Networked Control Scheme for Distributed Secondary Control of Islanded MicroGrids Qobad scenarios that have an increased number of distributed generators (DGs) within the MG. Due (RES) and distributed generators (DGs), microgrids (MGs) have recently attracted a significant interest
Robust Performance of Soft Real-time Networked Control Systems with Data Dropouts 1
Lemmon, Michael
Robust Performance of Soft Real-time Networked Control Systems with Data Dropouts 1 Qiang Ling, . This class of systems is a model for soft real-time control systems in which the feedback path is implemented, the networked control system becomes a soft real-time system. In soft real-time networks, data packets may
A Robust Audio Classification and Segmentation Method Lie Lu, Hao Jiang and HongJiang Zhang
Jiang, Hao
A Robust Audio Classification and Segmentation Method Lie Lu, Hao Jiang and HongJiang Zhang for audio classification that is capable of segmenting and classifying an audio stream into speech, music, environment sound and silence. Audio classification is processed in two steps, which makes it suitable
A Robust RAM-THP Architecture for Downlink Multiuser MISO Transmission with User Scheduling
Gulak, P. Glenn
A Robust RAM-THP Architecture for Downlink Multiuser MISO Transmission with User Scheduling Saeed-Forcing Tomlinson-Harashima Precoding (ZF-THP) for multi-user trans- mission in a multiple-input-single-output (MU-MISO-THP, zero-forcing, multi- user MISO, precoding, scheduling. I. INTRODUCTION Multiple-Input Multiple
Robust MMSE Tomlinson-Harashima Precoder for Multiuser MISO Downlink with Imperfect CSI
Chockalingam, A.
Robust MMSE Tomlinson-Harashima Precoder for Multiuser MISO Downlink with Imperfect CSI P Abstract--Non-linear precoding for the downlink of a multiuser MISO (multiple-input single-linear precoders in the lit- erature. Keywords Multiuser MISO downlink, multiuser interference, imperfect CSI
QoS-Constrained Robust Beamforming in MISO Wiretap Channels with a Helper
Swindlehurst, A. Lee
QoS-Constrained Robust Beamforming in MISO Wiretap Channels with a Helper Jing Huang and A. Lee for multiple-input single-output (MISO) wiretap chan- nels with a helper. The channel state information (CSI][8]. In particular, for multiple-input single-output (MISO) wiretap channels, the optimal transmit covariance matrix
Robust Linearization of RF Amplifiers Using NonLinear Internal Model Control Method
Paris-Sud XI, Université de
Robust Linearization of RF Amplifiers Using NonLinear Internal Model Control Method Smail Bachir #1, the nonlinear Internal Model Control (IMC) method is introduced and applied to linearize high frequency Power to be controlled [8]. If the model is a perfect representation of the non linear system, the controller can
goals of climate modeling. Water supports the ecosystems as well as a wide range of human activities to improve region- al predictions of the hydrologic cycle to address climate change impacts, adaptationDevelopment of Frameworks for Robust Regional Climate Modeling PRINCIPAL INVESTIGATOR: Moetasim
Reinaldo O. Vianna; Andrew C. Doherty
2006-08-11T23:59:59.000Z
We use Robust Semidefinite Programs and Entanglement Witnesses to study the distillability of Werner states. We perform exact numerical calculations which show 2-undistillability in a region of the state space which was previously conjectured to be undistillable. We also introduce bases which yield interesting expressions for the {\\em distillability witnesses} and for a tensor product of Werner states with arbitrary number of copies.
Piccoli, Benedetto
as robustness of control performances of exemplary control systems are computed. I. INTRODUCTION The modern of control systems. However, as randomized algorithms provide an efficient solution procedure approach to performance analysis of control systems is mainly focused on deterministic methods [8
Modelling of power plant dynamics and uncertainties for robust control synthesis *
Ray, Asok
control synthesis of electric power generation systems under wide-range operations. Based, these models are still too complex for control systems Address reprint requests to Dr. Ray at the Department on the accuracy of the plant model. For modern robust control synthesis such as those using the H
General High Performance Adaptive Robust Motion Control of Machine Tools Mohammed Al-Majed++
Yao, Bin
the advantages and improved performance obtained via the ARC design. I. Introduction Modern mechanical systems,4] is applied to the high performance motion control of machine tools to make the resulting closed-loop systemGeneral High Performance Adaptive Robust Motion Control of Machine Tools Bin Yao + Mohammed Al
RateGuard: A Robust Distributed Denial of Service (DDoS) Defense System
Chao, Jonathan
, USA chao@poly.edu Abstract--One of the major threats to cyber security is the Distributed Denial-Rate TCP Attacks. I. INTRODUCTION One of the major threats to cyber security is the Distributed DenialRateGuard: A Robust Distributed Denial of Service (DDoS) Defense System Huizhong Sun ECE
Title of Dissertation: CHARACTERIZATION OF QUANTUM EFFICIENCY AND ROBUSTNESS OF CESIUM-BASED
Anlage, Steven
efficiency for contaminated cesium-coated surfaces, affirming the dispenser prescription of cesium resupplyABSTRACT Title of Dissertation: CHARACTERIZATION OF QUANTUM EFFICIENCY AND ROBUSTNESS OF CESIUM to maintain high current density. But faced with contamination, heating, and ion back-bombardment, the highest
Erratum (astro-ph/0510172): Robust Limits on Lorentz Violation from Gamma-Ray Bursts
John Ellis; N. E. Mavromatos; D. V. Nanopoulos; A. S. Sakharov; E. K. G. Sarkisyan
2007-12-17T23:59:59.000Z
We correct the fitting formula used in refs. [1,2] to obtain a robust limit on a violation of Lorentz invariance that depends linearly on the photon energy. The correction leads to a slight increase of the limit on the scale of the violation, to M > 1.4 x 10^{16} GeV.
M.Sc.-thesis research Robustness improvement of polyhedral mesh method for airbag
Vuik, Kees
M.Sc.-thesis research Robustness improvement of polyhedral mesh method for airbag deployment. Project background A madymo airbag deployment simulation is a coupled simulation of the airbag fabric dynamics (structural equations of motion) and the fluid inside the airbag (Euler equations of fluid motion
COMPSTAT'2004 Symposium c Physica-Verlag/Springer 2004 ROBUST REGRESSION QUANTILES WITH
to robustly estimate linear regression quantiles with censored data. We adjust the estimator recently points. 1 Introduction We consider the linear regression setting, in which we have to model the re, the deepest regression estimator [5], which has been defined for non censored data. In Section 4 we
Application of Mobile Agents to Robust Teleoperation of Internet Robots in Nuclear Decommissioning
Hu, Huosheng
Application of Mobile Agents to Robust Teleoperation of Internet Robots in Nuclear Decommissioning, Colchester, Essex, C04 3SQ, U.K. Email: {lmcrag, hhu}@essex.ac.uk AbstractÂ Nuclear decommissioning involves a substantial increase in decommissioning globally as a large number of nuclear facilities are due to reach
Transfer Limit Enhancement Using Decentralized Robust STATCOM Control for Wind Farm
Pota, Himanshu Roy
Transfer Limit Enhancement Using Decentralized Robust STATCOM Control for Wind Farm M. J. Hossain wind farms (WFs) penetration on transfer capability. A decentralized minimax linear quadratic Gaussian is paid to the increased use of wind farms, a number of complex issues should be investigated in more
Toward a robust 2D spatio-temporal self-organization
Paris-Sud XI, Université de
connections in the brain saves energy; the neighborhood property is robust to noise and makes easier commu that gener- ates neighborhood in representation derives from a spatial distance, the choice of which is often on which stimuli are displayed is fully connected to a layer of neurons. TOM integrates time with inter
CX: A Scalable, Robust Network for Parallel Peter Cappello and Dimitris Mourloukos
Cappello, Peter
CX: A Scalable, Robust Network for Parallel Computing Peter Cappello and Dimitris Mourloukos}@cs.ucsb.edu Abstract CX, a networkÂbased computational exchange, is presented. The sysÂ tem's design integrates failures. Tasks are distributed throughout the server network via a simple ``di#usion'' process. CX
CX: A Scalable, Robust Network for Parallel Peter Cappello and Dimitris Mourloukos
Cappello, Peter
CX: A Scalable, Robust Network for Parallel Computing Peter Cappello and Dimitris Mourloukos}@cs.ucsb.edu Abstract CX, a network-based computational exchange, is presented. The sys- tem's design integrates failures. Tasks are distributed throughout the server network via a simple "diffusion" process. CX
CX: A Scalable, Robust Network for Parallel Peter Cappello and Dimitrios Mourloukos
Cappello, Peter
CX: A Scalable, Robust Network for Parallel Computing Peter Cappello and Dimitrios Mourloukos}@cs.ucsb.edu telephone: 805.893.4383; fax: 805.893.853 Abstract CX, a networkÂbased computational exchange, is presented#usion'' process. CX is intended as a test bed for research on automated silent auctions, reputation services
CX: A Scalable, Robust Network for Parallel Peter Cappello and Dimitrios Mourloukos
Cappello, Peter
CX: A Scalable, Robust Network for Parallel Computing Peter Cappello and Dimitrios Mourloukos}@cs.ucsb.edu telephone: 805.893.4383; fax: 805.893.853 Abstract CX, a network-based computational exchange, is presented "diffusion" process. CX is intended as a test bed for research on automated silent auctions, reputation
Robust model based control method for wind energy production A. Pintea 1
Boyer, Edmond
- linear form on the wind speed, the rotation speed of the turbine and the pitch angle of the blades based control algorithm for a horizontal wind turbine is proposed. In a model-based control approach system. Keywords: Wind power, robustness, IMC, stability, turbine, pitch control. 1. INTRODUCTION Wind
Robust control for wind power systems A. Pintea 1,2
Paris-Sud XI, Université de
design applied to a horizontal wind turbine, functioning in the above rated wind speeds area. The turbines chosen for study in this paper are variable speed wind turbines and the main focus will fall. The controller presented here, is a robust digital controller which aims to regulate the wind turbine rotor speed
ROBUST CONTROL ANALYSIS USING REAL-TIME IMPLEMENTATION OF A HYBRID FUEL CELL POWER GENERATION SYSTEM
Paris-Sud XI, Université de
ROBUST CONTROL ANALYSIS USING REAL-TIME IMPLEMENTATION OF A HYBRID FUEL CELL POWER GENERATION the control of two identical boost power converters. For the closed-loop control a previously proposed proposed by the authors in former works. The control actuators are the duty cycles of the boost power
ON ROBUST DYNAMIC PROGRAMMING Anton G. Madievslci* and John B. Moore~*
Moore, John Barratt
control for known deterministic and sto- chastic systems. There is a need, however, to apply dynamic progr: dynamic programming; robust control; principle of optimality ? The author wishes to acknowledge and sto- chastic models. Now, what happens if we apply dynamic programming to a real-world system, prone
Williamson, John
models, taking into account their uncertainty. The approach is applied to a simulated wheel slip control task illustrating controller development based on a nonparametric model of the unknown friction of the nonlinear models' derivatives. I. INTRODUCTION Robust control is a fairly mature field, in particular
Multiple Model Robust Dynamic Programming Eric C. Whitman and Christopher G. Atkeson
-- Modeling error is a common problem for model- based control techniques. We present multiple model dynamic programming (MMDP) as a method to generate controllers that are robust to modeling error. Our method generates controllers that are approximately optimal for a collection of models, thereby forcing the controller
REDUCED SAMPLING AND INCOMPLETE SENSITIVITY FOR LOW-COMPLEXITY ROBUST PARAMETRIC OPTIMIZATION
Boyer, Edmond
? These questions are important as today industrial robust design mainly relies on reduced order modelling of the design. We also discuss incomplete sen- sitivity evaluations to take into account the computational-point design where the cost of the optimization is comparable to one state evaluations. The proposed algorithm
Kandler Smith, NREL EDV Battery Robust Design -1 Design of Electric Drive Vehicle
Kandler Smith, NREL EDV Battery Robust Design - 1 Design of Electric Drive Vehicle Batteries for significant market penetration to be achieved · Batteries are the most expensive component of the vehicle · Consumers expect >10 years vehicle life · Periodic battery replacement (e.g., every 5 years) not warranted
Seshia, Sanjit A.
Robust Strategy Synthesis for Probabilistic Systems Applied to Risk-Limiting Renewable-Energy pricing and dispatch strategies in smart grids that integrate re- newable sources of energy. We use}@eecs.berkeley.edu ABSTRACT We address the problem of synthesizing control strategies for El- lipsoidal Markov Decision
Robust controller design for temperature tracking problems in jacketed batch reactors
Palanki, Srinivas
Robust controller design for temperature tracking problems in jacketed batch reactors Vishak for temperature tracking problems in batch reactors in the presence of parametric uncertainty. The controller has]. Control is achieved by manipulating the heat content from the jacket to the reactor. In the past
Robustness of circadian clocks to daylight fluctuations: hints from the picoeucaryote
Lefranc, Marc
1 Robustness of circadian clocks to daylight fluctuations: hints from the picoeucaryote in daylight intensity on the core circadian oscillator, a type of perturbation that has been rarely considered strategy to shield the circadian clock from daylight fluctuations by localizing coupling to the light
Robustness of circadian clocks to daylight fluctuations: hints from the picoeucaryote
1 Robustness of circadian clocks to daylight fluctuations: hints from the picoeucaryote a strategy to minimize the impact of fluctuations in daylight intensity on the core circadian oscillator daylight fluctuations by localizing coupling to the light during specific time intervals. In our model
Robust Multi-Task Learning with t-Processes shipeng.yu@siemens.com
Tresp, Volker
Robust Multi-Task Learning with t-Processes Shipeng Yu shipeng.yu@siemens.com CAD and Knowledge Solutions, Siemens Medical Solutions, Malvern, PA 19355, USA Volker Tresp volker.tresp@siemens.com Corporate Technology, Siemens AG, Munich 81730, Germany Kai Yu kyu@sv.nec-labs.com NEC Laboratories America, Cupertino
Prices of robustness and reblending in oil industry Stefan Janaqi.* Jorge Aguilera*. Meriam Chbre**
Paris-Sud XI, Université de
Prices of robustness and reblending in oil industry Stefan Janaqi.* Jorge Aguilera*. Meriam Chébre Direction, TOTAL Refining &Marketing, Le Havre, France (e-mail: meriam.chebre@total.com) Abstract-time optimization method for the on-line linear oil blending process. Our approach places this problem in a wider
Exemplar-based speech enhancement and its application to noise-robust automatic speech recognition
Virtanen, Tuomas
53 Exemplar-based speech enhancement and its application to noise-robust automatic speech-based technique for speech enhance- ment of noisy speech is proposed. The technique works by find- ing a sparse at http://www.cs.tut.fi/ ~tuomasv/. Index Terms: speech enhancement, exemplar-based, noise ro- bustness
.V. All rights reserved. Keywords: Robust speech recognition; MMSE estimation; Speech enhancement methods fall under two categories: front-end speech/feature enhancement and back-end model adaptation. Back are interested in methods that perform enhancement on the speech signal. Several methods falling
Including robustness in multi-criteria optimization for intensity-modulated proton therapy
Chen, Wei; Trofimov, Alexei; Madden, Thomas; Kooy, Hanne; Bortfeld, Thomas; Craft, David
2011-01-01T23:59:59.000Z
We present a method to include robustness into a multi-criteria optimization (MCO) framework for intensity-modulated proton therapy (IMPT). The approach allows one to simultaneously explore the trade-off between different objectives as well as the trade-off between robustness and nominal plan quality. In MCO, a database of plans each emphasizing different treatment planning objectives, is pre-computed to approximate the Pareto surface. An IMPT treatment plan that strikes the best balance between the different objectives can be selected by navigating on the Pareto surface. In our approach, robustness is integrated into MCO by adding robustified objectives and constraints to the MCO problem. Uncertainties of the robust problem are modeled by pre-calculated dose-influence matrices for a nominal scenario and a number of pre-defined error scenarios. A robustified objective represents the worst objective function value that can be realized for any of the error scenarios. The optimization method is based on a linear...
A robust scanning diamond sensor for nanoscale imaging with single nitrogen-vacancy centres
Walsworth, Ronald L.
A robust scanning diamond sensor for nanoscale imaging with single nitrogen-vacancy centres P-vacancy centre within a few nanometres of a sample, and then scan it across the sample surface, while preserving the centre's spin coherence and readout fidelity. However, existing scanning techniques, which use a single
Stochastic Modeling and Optimization for Robust Power Management in a Partially Observable System
Qiu, Qinru
Stochastic Modeling and Optimization for Robust Power Management in a Partially Observable System and issues control commands periodically. Reference [3] models the similar system using the continuous a full observation of the entire system status. In this paper, we propose a new modeling and optimization
Paris-Sud XI, Université de
the second one on force [4][5]. In order to synthesize a controller for the manipulation force, a model is necessary. However, it is known that the model linking this manipulation force and the input controlRobust control for a class of interval model: application to the force control of piezoelectric
A Robust Bayesian Fusion Algorithm for Lane and Pavement boundary detection
Hero, Alfred O.
1 A Robust Bayesian Fusion Algorithm for Lane and Pavement boundary detection Bing Ma, Sridhar Lakshmanan, Alfred O. Hero Abstract In this paper we propose to jointly detect lane and pavement boundaries is employed to locate the lane and pavement boundaries. Since the circular model parameters possess compatible
Improving Robustness in P2PS and a Generic Belief Propagation Service for P2PKit
Bonaventure, Olivier
propagation service designed using P2PKit, showing an example of usage with the k-partition algorithm for loadImproving Robustness in P2PS and a Generic Belief Propagation Service for P2PKit Boris Mej´ias, Yves Jaradin, and Peter Van Roy Universit´e catholique de Louvain, Louvain-la-Neuve, Belgium firstname
Evaluation of Attack Countermeasures to Improve the DoS Robustness of RSerPool Systems
Dreibholz, Thomas
Evaluation of Attack Countermeasures to Improve the DoS Robustness of RSerPool Systems attacks has not been intensively ad- dressed yet. In particular, there have not been any analyses for real the attack bandwidth which is necessary for a significant impact on RSerPool-based services. This analysis
Karpovsky, Mark
Robust Codes for Fault Attack Resistant Cryptographic Hardware Konrad J. Kulikowski, Mark G algorithms are vulner- able to fault analysis attacks. To detect these attacks we propose an architec- ture by an attacker. Architectures based on these codes have fewer undetectable er- rors than linear codes
A Mesh-based Robust Topology Discovery Algorithm for Hybrid Wireless Networks
Birman, Kenneth P.
A Mesh-based Robust Topology Discovery Algorithm for Hybrid Wireless Networks Ranveer CHANDRA¢ @research.att.com Abstract Wireless networks in home, office and sensor applications consist of nodes by a wireline network. Topology information of the wireless network at these powerful nodes can be used
Increasing the robustness of the input-shaping method using adaptive control
Dharne, Avinash Gopal
2002-01-01T23:59:59.000Z
Input-Shaping is a widely used method of suppressing residual vibrations in point-to-point motion of flexible bodies. It is easy to implement and gives good results if the dynamics of the system are known accurately. However, it is not very robust...
Controllability and invariance of monotone systems for robust ventilation automation in buildings
Paris-Sud XI, Université de
Controllability and invariance of monotone systems for robust ventilation automation in buildings [2] and control [3] of Heating, Ventilating and Air Conditioning (HVAC) systems leads to an improved comfort for the users and a reduction of energy consumption. Compared to traditional ceiling ventilation
Drakakis, Konstantinos
EXTRACTING GARCH EFFECTS FROM ASSET RETURNS USING ROBUST NMF RuairÂ´i de FrÂ´ein & Scott Rickard.g. GARCH effects, of the constituent assets of the Dow Jones Industrial Average are lever- aged to cluster-complete dictionary learning ap- proach to separate out the background Gaussian noise, empha- size the GARCH effects
Chasing the FLP Impossibility Result in a LAN How Robust Can a Fault Tolerant Server Be?
DÃ©fago, Xavier
parameter is the time- out used by our heartbeat failure detectors. The frequency of heartbeats is keptChasing the FLP Impossibility Result in a LAN or How Robust Can a Fault Tolerant Server Be? P proven an impossibility result about consensus in the asyn- chronous system model, and similar
Robustness of topological order and formation of quantum well states in topological insulators
Wang, Wei Hua
Robustness of topological order and formation of quantum well states in topological insulators (like transport measurements) and ultimate application of the topological insulators usually in- volve-resolved photoemission measurements to directly probe the surface state of the prototypical topological insulators, Bi2Se
Paris-Sud XI, Université de
Robust damage assessment of multiple cracks based on the Frequency Response Function a damage assessment technique for the non destructive detection and sizing of multiple open cracks in beams, many researchers have performed extensive investigations and damage assess- ment techniques based
Robust Optimal Control Strategies for a Hybrid Fuel Cell Power Management System
Paris-Sud XI, Université de
Robust Optimal Control Strategies for a Hybrid Fuel Cell Power Management System David Hern strategies are proposed for the power management subsystem of a hybrid fuel cell/supercapacitor power generation system. The control strate- gies are based on different control configurations involving the power
Yao, Bin
Indirect Adaptive Robust Control of Electro-Hydraulic Systems Driven by Single-Rod Hydraulic) of electro-hydraulic systems driven by single- rod hydraulic actuators. Unlike the tracking that the proposed IARC achieves good tracking performance and accurate parameter estimation. INTRODUCTION Electro-hydraulic
Vortex avalanches with robust statistics observed in superconducting niobium E. Altshuler,1,2
Zeldov, Eli
Vortex avalanches with robust statistics observed in superconducting niobium E. Altshuler,1,2 T. H topography of superconducting niobium samples as the external field is slowly increased. The avalanche size in Ref. 11, was quite limited, being based on only a few hundred events. Nowak et al.12 studied niobium
Robust Numerical Valuation of European and American Options under the CGMY Process
Forsyth, Peter A.
Robust Numerical Valuation of European and American Options under the CGMY Process Iris R. Wang Justin W.L. Wan Peter A. Forsyth March 7, 2007 Abstract We develop an implicit discretization method-Differential Equation (PIDE) is then solved using a preconditioned BiCGSTAB method coupled with a fast Fourier transform
Robust Numerical Valuation of European and American Options under the CGMY Process
Wan, Justin Wing Lok
Robust Numerical Valuation of European and American Options under the CGMY Process Iris R. Wang Justin W.L. Wan Peter A. Forsyth August 23, 2006 Abstract We develop an implicit discretization method-Differential Equation (PIDE) is then solved using a preconditioned BiCGSTAB method coupled with a fast Fourier transform
Hybrid Recursive Energy-based Method for Robust Optical Flow on Large Motion Fields
Wichmann, Felix
Hybrid Recursive Energy-based Method for Robust Optical Flow on Large Motion Fields Jangheon Kim, and convergence to the global minima is not guaranteed. Our hybrid recursive energy-based method employs, Germany {j.kim, sikora}@nue.tu-berlin.de Abstract--We present a new reliable hybrid recursive method
A Robust Aggregation Method for Quasi-blind Robots in an Active Environment
Paris-Sud XI, Université de
A Robust Aggregation Method for Quasi-blind Robots in an Active Environment Nazim Fat is through an active environment (stigmergy) and the only information they can receive is the local detection of the waves produced by other robots. The active environment obeys a cellular automaton rule and is simulated
NREL discoveries will enable manufacturers to produce more robust photovoltaic modules.
NREL discoveries will enable manufacturers to produce more robust photovoltaic modules. Over the past decade, some photovoltaic (PV) modules have experienced power losses because of the system voltage-Induced Degradation Mechanisms on PV Modules and Methods For Test." 37th IEEE Photovoltaic Specialists Conference. Key
Robust Multi-Person Tracking from Moving Platforms Andreas Ess1
Schindler, Konrad
Robust Multi-Person Tracking from Moving Platforms Andreas Ess1 , Konrad Schindler1 , Bastian Leibe://drops.dagstuhl.de/opus/volltexte/2008/1617 #12;2 A. Ess, K. Schindler, B. Leibe, L. van Gool the proposed integration is the concept
Decision-theoretic consideration of robust hashing: link to practical algorithms
Genève, Université de
of digital and analog content as well as goods and products justifying an urgent need for reliable document privacy as well as universality to provide asymptotic independence to a complete or partial lack of priorDecision-theoretic consideration of robust hashing: link to practical algorithms Oleksiy Koval
Capacitive Behavior of HF Power Transformers: Global Approach to Draw Robust Equivalent Circuits
Paris-Sud XI, Université de
behavior of all components. Among these components, HF power transformers constitute a special case. EvenCapacitive Behavior of HF Power Transformers: Global Approach to Draw Robust Equivalent Circuits of n-windings HF power transformers. A global approach, mainly based on energy considerations about
Carlos H. Rentel
2007-03-31T23:59:59.000Z
The objective of this project was to create a low-cost, robust anticipatory wireless sensor network (A-WSN) to ensure the security and reliability of the United States energy infrastructure. This document highlights Eaton Corporation's plan to bring these technologies to market.
Fusion of Visual and Thermal Signatures with Eyeglass Removal for Robust Face Recognition
Abidi, Mongi A.
Fusion of Visual and Thermal Signatures with Eyeglass Removal for Robust Face Recognition Jingu Heo, eyeglasses, which block thermal energy, are detected from thermal images and replaced with an eye template temperatures caused by physical exercise or ambient temperatures. Eyeglasses may result in loss of useful
Murray, Richard M.
science and control to allow automatic synthesis of embedded control software for such systems (KaramanAutomatic Synthesis of Robust Embedded Control Software Tichakorn Wongpiromsarn, Ufuk Topcu a methodology for automatic synthesis of embedded control software that accounts for exogenous disturbances
EVOLUTION SEMIGROUPS AND ROBUST STABILITY OF EVOLUTION OPERATORS ON BANACH SPACES
EVOLUTION SEMIGROUPS AND ROBUST STABILITY OF EVOLUTION OPERATORS ON BANACH SPACES Y. LATUSHKIN, S. MONTGOMERYSMITH, AND T. RANDOLPH Abstract. Using the theory of evolution semigroups, this paper investigatesmapping theo rem for evolution semigroups acting on vectorvalued functions on [0; 1) is proven first
On the Potential for Robust ASR with Combined Subband-Waveform and Cepstral Features
Sollich, Peter
the experiments conducted by Fletcher [15], which suggest that the human decodin classifiers using ensemble methods are addressed. Experiments demonstrate the benefits of the classification. Humans, on the other hand, exhibit a very robust behavior in recognizing speech even in extremely adverse
A Hybrid Iterative Solver for Robustly Capturing Coulomb Friction in Hair Dynamics
A Hybrid Iterative Solver for Robustly Capturing Coulomb Friction in Hair Dynamics Gilles Daviet-slip instabilities. See the accompanying video for the full animations. Abstract Dry friction between hair fibers a hybrid strategy that combines a new zero-finding formulation of (exact) Coulomb friction together
Decentralized Control of Power Systems via Robust Control of Uncertain Markov Jump Parameter Systems
Pota, Himanshu Roy
are regulated by small disturbance controllers whose gains are adjusted for variations in power system model due control of small disturbances in interconnected power systems. The linearized power system dynamic modelDecentralized Control of Power Systems via Robust Control of Uncertain Markov Jump Parameter
Robust Pareto Optimum Routing of Ships Deterministic and Ensemble Weather Forecasts
Berlin,Technische Universität
Robust Pareto Optimum Routing of Ships utilizing Deterministic and Ensemble Weather Forecasts the SEAROUTES project, who provided me with exquisite weather forecasts, and who inspired me to apply ensemble ship operation. The more reliable weather forecasts and performance simulation of ships in a seaway
Control Design for Interconnected Power Systems with OLTCs via Robust Decentralized Control
Pota, Himanshu Roy
Control Design for Interconnected Power Systems with OLTCs via Robust Decentralized Control the problem of designing a decentralized control of interconnected power systems, with OLTC and SVCs, under are adjusted for variations in power system model due to large changes in loads. The only feedback needed
Design of Robust Distribution Networks Run by fourth Party Logistics Service Providers
Armbruster, Dieter
Design of Robust Distribution Networks Run by fourth Party Logistics Service Providers M logistics service provider (LSP), who faces the problem of distributing different products from suppliers distributions. 1 Introduction The logistics networks considered in this paper consist of production facilities
Exploiting Hidden Convexity For Flexible And Robust Resource Allocation In Cellular Networks
Tan, Chee Wei
Exploiting Hidden Convexity For Flexible And Robust Resource Allocation In Cellular Networks Chee transmission in a CDMA cellular network, we propose an optimal power control scheme with congestion Wei Tan1, Daniel P. Palomar2, and Mung Chiang1 1 Electrical Engineering Dept., Princeton University
RNAcode: robust discrimination of coding and noncoding regions in comparative sequence data
#12;RNAcode: robust discrimination of coding and noncoding regions in comparative sequence data@mit.edu Abstract With the availability of genome-wide transcription data and massive comparative sequenc- ing in multiple sequence alignments that is op- timized for emerging applications not covered by current protein
ROBUST CONTENT-BASED VIDEO WATERMARKING EXPLOITING MOTION ENTROPY MASKING EFFECT
Reif, Rafael
ROBUST CONTENT-BASED VIDEO WATERMARKING EXPLOITING MOTION ENTROPY MASKING EFFECT Amir Houmansadr: Digital watermarking, Video sequence, Entropy masking. Abstract: A major class of image and video, a content-based video watermarking scheme is developed and the concept of entropy masking effect is employed
A Robust Heart Sounds Segmentation Module Based on S-Transform
Boyer, Edmond
1 A Robust Heart Sounds Segmentation Module Based on S-Transform Ali Moukadem1, 3 , Alain Dieterlen presents a new module for heart sounds segmentation based on S-Transform. The heart sounds segmentation process segments the PhonoCardioGram (PCG) signal into four parts: S1 (first heart sound), systole, S2
Robust feasibility for control of water flow in a reservoir-canal system
. INTRODUCTION Open-channel hydraulic systems are central to a variety of human needs such as irrigation, power of irrigation systems has be- come a crucial issue. Historically, irrigation systems around the world wereRobust feasibility for control of water flow in a reservoir-canal system Saurabh Amin, Alexandre M
A frequency weighted approach to robust fault reconstruction and F. Crusca
Aldeen, Mohammad
is based on shaping the map from disturbance inputs to the fault es- timation error through frequency, these disturbances are assumed to be the output of a filter (with the previously mentioned frequency characteristicsA frequency weighted approach to robust fault reconstruction C.P. Tan and F. Crusca and M. Aldeen
Robust Smart Card based Password Authentication Scheme against Smart Card Security Breach
Robust Smart Card based Password Authentication Scheme against Smart Card Security Breach Ding Wang University, Beijing 100871, China 3 Automobile Management Institute of PLA, Bengbu City 233011, China wangdingg@mail.nankai.edu.cn Abstract. As the most prevailing two-factor authentication mechanism, smart
A Robust and Efficient Method to Unwrap MR Phase Images , J. X. Ji1
Koetter, Ralf
A Robust and Efficient Method to Unwrap MR Phase Images L. Ying1 , J. X. Ji1 , D. C. Munson, Jr. 1 been tested on real MR data. A set of representative result is shown in Fig. 1. The data set , Z. P. Liang1 , R. Koetter1 , B. J. Frey2 1 University of Illinois at Urbana - Champaign, Urbana, IL
Article Revue JIM How to manage robust tactical planning with an APS
Paris-Sud XI, Université de
", to obtain more stable and robust production plans at tactical level. Using an industrial application (Sales and Operations planning - S&OP, Master Production Schedule - MPS, Purchase and Distribution Plans). The third level, named the operational level, handles problems of production activity control in the very
ccsd-00002179,version1-7Jul2004 A Value-At-Risk Approach for Robust
Paris-Sud XI, Université de
of the variance of simulated cost - up to 38% of reduction for a comparable average cost if the worst caseccsd-00002179,version1-7Jul2004 A Value-At-Risk Approach for Robust Management of Electricity Power and Space Decomposition, Ro- bust Counterpart, Electricity Power Management. Abstract In this paper, we
A New Approach To Robust Non-Intrusive Traffic Detection at Intersections!
Minnesota, University of
A New Approach To Robust Non-Intrusive Traffic Detection at Intersections! Chad Stelzig Algorithm Solutions! Background and Terminology !! § "Non-Intrusive Detection Systems"! § Above ground detection accuracy with a non- intrusive system! #12;Global Solutions! Single Sensor Detection Systems! § Any
Paris-Sud XI, Université de
Reduction, Centre Manifold, Robust Analysis, Uncertainty Propagation, Polynomial chaos, Non-intrusive to compute the deterministic components called stochastic modes in an intrusive and a non intrusive manner while random components are concentrated in the polynomial basis used. Non intrusive procedures
Robust Optimal Control using Polynomial Chaos and Adjoints for Systems with Uncertain Inputs
Jameson, Antony
Expansions (PCE) and adjoint theory to efficiently obtain sensitivities for robust optimal control. A non-intrusive be used to improve an initial guess in an iterative optimization procedure. The repeated use of the non-intrusive reduced for certain objective functions using an intrusive formulation for the adjoint equations.11 I
Evolving a robust signal transduction pathway from weak cross-talk
Siryaporn, Albert
We have evolved a robust two?component signal transduction pathway from a sensor kinase (SK) and non?partner response regulator (RR) that show weak cross?talk in vitro and no detectable cross?talk in vivo in wild?type ...
Evolving a robust signal transduction pathway from weak cross-talk
Siryaporn, Albert
We have evolved a robust two-component signal transduction pathway from a sensor kinase (SK) and non-partner response regulator (RR) that show weak cross-talk in vitro and no detectable cross-talk in vivo in wild-type ...
Multi-objective Robust Static Mapping of Independent Tasks on Grids
Maciejewski, Anthony A.
Multi-objective Robust Static Mapping of Independent Tasks on Grids Bernab´e Dorronsoro, Pascal have been proposed in the lit- erature for the problem of mapping tasks on computational Grids (e of a Grid system. Typically, it is assumed that the estimated time to compute each task on every machine
A ROBUST AND AUTOMATIC FACE TRACKER DEDICATED TO BROADCAST VIDEOS Elise Arnaud
Paris-Sud XI, Université de
A ROBUST AND AUTOMATIC FACE TRACKER DEDICATED TO BROADCAST VIDEOS Elise Arnaud , Brigitte Fauvet videos are more difficult to analyze than news or sport videos. To retrieve human interventions. Experi- mental results on broadcast videos demonstrate its efficien- cy to deal with large and rapid
A NEW VIDEO-OBJECT WATERMARKING SCHEME ROBUST TO OBJECT MANIPULATION
Paris-Sud XI, Université de
A NEW VIDEO-OBJECT WATERMARKING SCHEME ROBUST TO OBJECT MANIPULATION P. Bas and B. Macq presents a watermarking scheme for image or video objects. The watermarking of video objects implies such as Mpeg-4 and Jpeg-2000, the notion of video-object or image- object is more and more widespread [1
ROBUST VIDEO RESTORATION BY JOINT SPARSE AND LOW RANK MATRIX APPROXIMATION
Shen, Zuowei
ROBUST VIDEO RESTORATION BY JOINT SPARSE AND LOW RANK MATRIX APPROXIMATION HUI JI, SIBIN HUANG, ZUOWEI SHEN, AND YUHONG XU Abstract. This paper presents a new video restoration scheme based domain, we formulate the video restoration problem as a joint sparse and low-rank matrix approximation
PLATO Power--a robust, low environmental impact power generation system for the Antarctic plateau
Ashley, Michael C. B.
PLATO Power--a robust, low environmental impact power generation system for the Antarctic plateau the power generation and management system of PLATO. Two redundant arrays of solar panels and a multiply astronomical facilities on the Antarctic plateau, offering minimum environmental impact and requiring minimal
NREL scientists develop robust, high-performance IZO transparent contact for CIGS solar cells.
NREL scientists develop robust, high-performance IZO transparent contact for CIGS solar cells indium gallium diselenide (CIGS) solar cell is zinc oxide (ZnO). The problem is that unprotected Zn is a lifetime-limiting problem that is currently addressed solely through encapsulation. Fundamentally improving
Towards Robust Person Recognition On Handheld Devices Using Face and Speaker Identification identification techniques to a person identification task on a handheld device. These techniques have proven and with the help of the inexpensive sound and image capture hardware present in mobile devices presents
Multi-stage Learning for Robust Lung Segmentation in Challenging CT Volumes
Multi-stage Learning for Robust Lung Segmentation in Challenging CT Volumes Michal Sofka1 , Jens Imaging, Siemens Healthcare, Oxford, UK Abstract. Simple algorithms for segmenting healthy lung parenchyma an ini- tialization of a statistical shape model of the lungs. The initialization first detects
ROBUST SEGMENTATION OF LUNG TISSUE IN CHEST CT SCANNING Amal Farag, James Graham and Aly Farag
Louisville, University of
ROBUST SEGMENTATION OF LUNG TISSUE IN CHEST CT SCANNING Amal Farag, James Graham and Aly Farag.edu ABSTRACT This paper deals with segmentation of the lung tissues from low dose CT (LDCT) scans of the chest. Goal is correct segmentation as well as maintaining the details of the lung region in the chest cavity
Robust Segmentation of Challenging Lungs in CT using Multi-Stage Learning
Robust Segmentation of Challenging Lungs in CT using Multi-Stage Learning and Level Set.Kevin Zhou1 Abstract Automatic segmentation of lung tissue in thoracic CT scans is useful for diagnosis and treatment planning of pulmonary diseases. Unlike healthy lung tissue that is easily identifiable in CT scans
Robust and highly informative microsatellite-based genetic identity kit for potato
Spooner, David
Robust and highly informative microsatellite-based genetic identity kit for potato Marc Ghislain Æ The fingerprinting of 742 potato landraces with 51 simple sequence repeat (SSR, or microsatel- lite) markers resulted in improving a previously constructed potato genetic identity kit. All SSR marker loci were assayed
Modeling Network Diversity for Evaluating the Robustness of Networks against Zero-Day Attacks
Wang, Lingyu
evaluate our algorithm and metrics through simulation. Keywords: Security Metrics, Diversity, Network towards formally modeling network diversity as a security metric, for the purpose of evaluating a networkModeling Network Diversity for Evaluating the Robustness of Networks against Zero-Day Attacks
DESIGN AND PERFORMANCE OF A ROBUST GPS/INS ATTITUDE SYSTEM FOR AUTOMOBILE
Stanford University
DESIGN AND PERFORMANCE OF A ROBUST GPS/INS ATTITUDE SYSTEM FOR AUTOMOBILE APPLICATIONS cars has led to a growing number of GPS applications in the automobile industry. In addition of an inexpensive and ro- bust attitude system based on GPS and inertial sensors, suitable for use in automobiles
A framework for robust mobile robot systems Nik A. Melchior and William D. Smart
Smart, William
generally be applied by a human expert, who might not be present in the field. In this paper, we describe. Robotic hardware is also more prone to failure because of their movement. Robots vibrate, rattle, and mayA framework for robust mobile robot systems Nik A. Melchior and William D. Smart Washington
Brest, UniversitÃ© de
1 Robustness of intratumour 18F-FDG PET uptake heterogeneity quantification for therapy response title: Robustness of FDG PET tumour heterogeneity quantification Corresponding author: M. Hatt, INSERM;2 ABSTRACT: PURPOSE: Intra-tumour uptake heterogeneity in PET quantified through textural features
Yao, Bin
Integrated Direct/Indirect Adaptive Robust Precision Control of Linear Motor Drive Systems The focus of the paper is on the synthesis of nonlinear adaptive robust controllers for precision linear control of linear motor drive systems but with an improved estimation model, in which accurate parameter
Ford, David N.
(e.g., the US Department of Energy's Supercollider project). But some projects that are completed tested and system robustness to tipping point-induced failure is quantified for a simple project opportunities concerning tipping point and robustness in project management are discussed. Copyright Â© 2006 John
Wide-Range Robust Control of Combustion Instability BOE-SHONG HONG, ASOK RAY, and VIGOR YANG*
Ray, Asok
time V Volume of combustion chamber Un Control input of nth mode vg Velocity of gas phase z AxialWide-Range Robust Control of Combustion Instability BOE-SHONG HONG, ASOK RAY, and VIGOR YANG This paper presents the concept and design of a two-layer robust control system for suppression of combustion
Switched system modeling and robust steering control of the tail end phase in a hot strip mill
Paris-Sud XI, Université de
Switched system modeling and robust steering control of the tail end phase in a hot strip mill Ivan`eres-l`es-Metz Cedex, France Abstract In this article, a robust steering control for the last phase of the rolling switched system. The switchings make the system unstable and the task of the tail end steering control
Bastin, Georges
of the controllers. Index Terms--Chemical reactors, robust feedback stabilization, robust observer, temperature control. I. INTRODUCTION THE DESIGN of stabilizing feedback control laws for unstable chemical reactors.g., [2]). The feedback control of chemical reactors is a problem which is made difficult by the inherent
Giannakis, Georgios
Regression via Sparsity Control With Application to Load Curve Data Cleansing Gonzalo Mateos, Student Member)norm with a nonconvex surrogate. The novel robust spline-based smoother is adopted to cleanse load curve data, a key on real load curve data corroborate the effectiveness of the novel sparsity-controlling robust estimators
Coello, Carlos A. Coello
A New Genetic Algorithm using Pareto Partitioning Method for Robust Partial Model Matching PID optimization, Partial model matching, PID controller with two degrees of freedom Abstract: In this paper we the design problem of the robust PID controller with two degrees of freedom based on the partial model
Mi, Chunting "Chris"
A robust state-of-charge estimator for multiple types of lithium-ion batteries using adaptive a SOC estimator for suitable for multiple lithium ion battery chemistries. Proved the system robustness of charge (SoC) of multiple types of lithium ion battery (LiB) cells with adaptive extended Kalman filter
Qu, Zhihua
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 48, NO. 10, OCTOBER 2003 1817 Adaptive and Robust Controls of Uncertain Systems With Nonlinear Parameterization Zhihua Qu Abstract--Two classes of partially--Adaptive control, nonlinear parameterization, observer, robust control, uncertain systems. I. INTRODUCTION In many
Nagurney, Anna
Conclusions Network Efficiency/Performance Measurement with Vulnerability and Robustness Analysis Conclusions 1 Motivation 2 Literature Review 3 Network Efficiency/Performance Measure Variational Inequality Robustness SCN Model Fin. Net. Model Conclusions 1 Motivation 2 Literature Review 3 Network Efficiency/Performance
Pota, Himanshu Roy
Abstract--This paper presents a robust excitation controller design for power systems to improve linearization where some parts of power systems need to be linearized. The robustness of the proposed control scheme is ensured by considering uncertainties within power systems model. In this paper
Robust and fault-tolerant linear parameter-varying control of wind turbines Christoffer Sloth a,,1
Hansen, René Rydhof
Robust and fault-tolerant linear parameter-varying control of wind turbines Christoffer Sloth a,,1 Keywords: Wind turbine control Linear parameter-varying (LPV) control Fault-tolerant control Robust control a b s t r a c t High performance and reliability are required for wind turbines to be competitive
Wigderson, Avi
Robust local testability of tensor products of LDPC codes # Irit Dinur 1 , Madhu Sudan 2 , and AviSasson and Sudan [6]): Pick a random row (or column) and check if the received word is in R (or C). Robustness and Sudan [12], who describe them as the ``combi natorial core of PCPs''. They constructed LTCs relying
La noche de los asesinos: Playscript and Stage Enactment
Nigro, Kirsten F.
1977-10-01T23:59:59.000Z
of the heinous crime and finally, Lalo's arrest and trial. In a whirligig of role- playing, the cast of three multiplies itself, as the siblings assume the parts of their parents, their neighbors, some newspaper vendors, the police, and the judge... noche de los asesinos, where substance is largely conveyed by the way in which the dramatic action is made to happen. When Beba announces early in the play that "La representación ha empe zado,"13 and Cuca reacts by asking "¿Otra vez?" (p. 3), we...
Process-Aware Information Systems: Design, Enactment, and Analysis
van der Aalst, Wil
of the different types of PAISs. PAISs play an important role in the Business Process Management (BPM). There exist many definitions of BPM. Here we will use the following defini- tion: "Business process management (BPM sciences and applies this to operational business processes". BPM can be seen as an extension of Workflow
Property:Incentive/AuthDtEnact | Open Energy Information
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Alternative Fuels Data Center: States Enact Natural Gas Vehicle and
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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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProductsAlternative FuelsSanta Fe Metro Fleet Runs on
Eftekhari Shahroudi, Kamran, 1965-
2008-01-01T23:59:59.000Z
In-Cylinder Pressure Sensors (ICPS) today are close to satisfying the robustness, performance and cost requirements for application to closed loop control and monitoring of production automotive engines. Using the Robust ...
Towards a Robust, Efficient Dispenser Photocathode: the Effect of Recesiation on Quantum Efficiency
Montgomery, Eric J.; Pan Zhigang; Leung, Jessica; Feldman, Donald W.; O'Shea, Patrick G. [Institute for Research in Electronics and Applied Physics, University of MD, College Park, MD 20742 (United States); Jensen, Kevin L. [Code 6843, ESTD, Naval Research Laboratory, Washington D.C. 20375-5347 (United States)
2009-01-22T23:59:59.000Z
Future electron accelerators and Free Electron Lasers (FELs) require high brightness electron sources; photocathodes for such devices are challenged to maintain long life and high electron emission efficiency (high quantum efficiency, or QE). The UMD dispenser photocathode design addresses this tradeoff of robustness and QE. In such a dispenser, a cesium-based surface layer is deposited on a porous substrate. The surface layer can be replenished from a subsurface cesium reservoir under gentle heating, allowing cesium to diffuse controllably to the surface and providing demonstrably more robust photocathodes. In support of the premise that recesiation is able to restore contaminated photocathodes, we here report controlled contamination of cesium-based surface layers with subsequent recesiation and the resulting effect on QE. Contaminant gases investigated include examples known from the vacuum environment of typical electron guns.
Robustness of chimera states for coupled FitzHugh-Nagumo oscillators
Iryna Omelchenko; Astero Provata; Johanne Hizanidis; Eckehard Schoell; Philipp Hoevel
2014-11-20T23:59:59.000Z
Chimera states are complex spatio-temporal patterns that consist of coexisting domains of spatially coherent and incoherent dynamics. This counterintuitive phenomenon was first observed in systems of identical oscillators with symmetric coupling topology. Can one overcome these limitations? To address this question, we discuss the robustness of chimera states in networks of FitzHugh-Nagumo oscillators. Considering networks of inhomogeneous elements with regular coupling topology, and networks of identical elements with irregular coupling topologies, we demonstrate that chimera states are robust with respect to these perturbations, and analyze their properties as the inhomogeneities increase. We find that modifications of coupling topologies cause qualitative changes of chimera states: additional random links induce a shift of the stability regions in the system parameter plane, gaps in the connectivity matrix result in a change of the multiplicity of incoherent regions of the chimera state, and hierarchical geometry in the connectivity matrix induces nested coherent and incoherent regions.
CO Oxidation Facilitated by Robust Surface States on Au-Covered Topological Insulators
Chen, Hua [University of Tennessee, Knoxville (UTK); Zhu, Wenguang [ORNL; Xiao, Di [ORNL; Zhang, Zhenyu [University of Science and Technology, Beijing, China
2011-01-01T23:59:59.000Z
Surface states the electronic states emerging as a solid material terminates at a surface are usually vulnerable to contaminations and defects. The robust topological surface state(s) (TSS) on the three-dimensional topological insulators provide a perfect platform for exploiting surface states in less stringent environments. Employing first-principles density functional theory calculations, we demonstrate that the TSS can play a vital role in facilitating surface reactions by serving as an effective electron bath. We use CO oxidation on gold-covered Bi2Se3 as a prototype example, and show that the robust TSS can significantly enhance the adsorption energy of both CO and O2 molecules, by promoting different directions of electron transfer. The concept of TSS as an electron bath may lead to new design principles beyond the conventional d-band theory of heterogeneous catalysis.