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 (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 (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 (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 (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 (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 (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 (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 (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 (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 (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...
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...
Working with the States to Address RPS/RECs Issues
of individual state RPS markets with larger renewable energy markets. #12;5 Issues of RPS Design & Implementation on Markets INCLUDE: Inconsistent "definitions" of renewable eligibility across the regions objectives. Transition to a self-sustaining RPS that is not ratepayer funded. #12;8 Next Steps YEAR TWO: RPS
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...
California's Renewables Portfolio Standard (RPS) List of Facilities Certification Status
California's Renewables Portfolio Standard (RPS) List of Facilities Certification Status Terms Facility State Facility County Commercial Operations Date Nameplate Capacity Technology Eligibility Date-Certification High Desert Solar One - HDSO Victorville CA San Bernardino 1/1/2007 101 Solar Thermal Electric 8
PUBLIC UTILITY COMMISSION (IPUC) RPS PROCUREMENT & COMPLIANCE PLAN (SBX1 2)
PUBLIC UTILITY COMMISSION (IPUC) RPS PROCUREMENT & COMPLIANCE PLAN (SBX1 2) CITY OF INDUSTRY California's Renewable Portfolio Standard (RPS) requirements for publically owned utilities (POU Energy Resources Act, Senate Bill 2 1st Ex. Session ("SBX1 2") requires utilities to achieve 33% RPS
Microsoft Word - 911147_0_SSC-16 RPS IPS and PCDIS Test Plan...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
7 Revision 0 ENGINEERING SERVICES FOR THE NEXT GENERATION NUCLEAR PLANT (NGNP) WITH HYDROGEN PRODUCTION Test Plan for RPS, IPS and PCDIS Prepared by General Atomics For the...
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.
SUPPORTING TEACHERS TO ENACT INTEGRATIVE PRACTICAL ACTIVITIES IN CHINA
Al Hanbali, Ahmad
implementation of IPA 1 1.1.2 The use of exemplary curriculum materials to support curriculum innovation 4 1 6 1.2.3 Integrative practical activities (IPA) as a new course 11 1.2.4 Studying IPA enactment arrangement 39 2.5 Implications for this study 41 2.5.1 Curriculum enactment and IPA 41 2.5.2 New roles
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
Wetland Conservation The Food Security Act was enacted on
US Army Corps of Engineers
Wetland Conservation Compliance #12;The Food Security Act was enacted on December 23, 1985. Title in 1987, assigning Natural Resources Conservation Service (NRCS) responsibility for making wetland Surveys Â· Farm Service Agency crop compliance slides Â· U.S. Weather Service data Â· U.S. Fish and Wildlife
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.
Observations on the Optimality Tolerance in the CAISO 33% RPS Model
Yao, Y; Meyers, C; Schmidt, A; Smith, S; Streitz, F
2011-09-22T23:59:59.000Z
In 2008 Governor Schwarzenegger of California issued an executive order requiring that 33 percent of all electricity in the state in the year 2020 should come from renewable resources such as wind, solar, geothermal, biomass, and small hydroelectric facilities. This 33% renewable portfolio standard (RPS) was further codified and signed into law by Governor Brown in 2011. To assess the market impacts of such a requirement, the California Public Utilities Commission (CPUC) initiated a study to quantify the cost, risk, and timing of achieving a 33% RPS by 2020. The California Independent System Operator (CAISO) was contracted to manage this study. The production simulation model used in this study was developed using the PLEXOS software package, which allows energy planners to optimize long-term system planning decisions under a wide variety of system constraints. In this note we describe our observations on varying the optimality tolerance in the CAISO 33% RPS model. In particular, we observe that changing the optimality tolerance from .05% to .5% leads to solutions over 5 times faster, on average, producing very similar solutions with a negligible difference in overall distance from optimality.
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.
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.
NASA FY 2015 Budget Request for Science Actuals Enacted Notional Notional Notional Notional
Waliser, Duane E.
NASA FY 2015 Budget Request for Science Actuals Enacted Notional Notional Notional Notional 1 FY,123M $5,174M The FY 2015 budget provides $4,972 million to the Science Mission Directorate. The budget accounts. 8-1 #12;NASA FY 2015 Budget Request for Aeronautics Research Actuals Enacted Notional Notional
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
Mobile Identity Management: An Enacted View George Roussos, Don Peterson, and Uma Patel
Roussos, George
Mobile Identity Management: An Enacted View George Roussos, Don Peterson, and Uma Patel Abstract. Growth of mobile business requires the ability to provide context aware services when and where needed telephony networks and consumer electronics, which brings mobile business to the forefront. In this context
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
First Amended and Restated Port of Oakland RPS Procurement Plan DMS#272640-v2 Final Adopted 12-12-2013 Page 1 of 13 Port of Oakland FIRST AMENDED AND RESTATED RENEWABLE ENERGY RESOURCES PROCUREMENT PLAN of Port Commissioners (the "Board") adopted the Port's Renewable Energy Resources Procurement Plan (the
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
Environmental Robustness in ASR ROBUST2004 -August 30, 2004 Environmental Robustness
Rose, Richard
;3 Environmental Robustness in ASR ROBUST2004 - August 30, 2004 Â· What is the impact of environmental variability of magnitude relative to landline channel Impact of Environmental Variability Â An Example 89%70%Traffic1 Environmental Robustness in ASR ROBUST2004 - August 30, 2004 ROBUST2004 Environmental Robustness
Âbased extensibility. That is, each PCE provides a language in which users specify the desired tailoring of the system in the process modeling formalism provided by the PCE, and this process model is then interpreted or executed by the PCE's process enactment engine. Such ``firstÂorder'' extensibility has been widely investigated
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...
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.
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 ...
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...
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 in Combinatorial Optimization and Scheduling Theory ...
2006-09-26T23:59:59.000Z
ten years in the area of combinatorial optimization and scheduling theory .... with robust reformulation of optimization model by adapting robust control ...
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)].
Risk Analysis 101 --- Robust-Optimization: the elephant in the robust ...
Moshe Sniedovich
2012-07-04T23:59:59.000Z
Jul 4, 2012 ... Risk Analysis 101 --- Robust-Optimization: the elephant in the robust-satisficing room. Moshe Sniedovich (moshe ***at*** ms.unimelb.edu.au).
Optimization Online - Multistage Adaptive Robust Optimization for ...
Alvaro Lorca
2014-09-05T23:59:59.000Z
Sep 5, 2014 ... ... with the increasing penetration of wind and solar power generation has ... Keywords: Electric energy systems, multistage robust optimization, ... Multistage Adaptive Robust Optimization for the Unit Commitment Problem.
On the robustness of clustered sensor networks
Cho, Jung Jin
2009-05-15T23:59:59.000Z
or fault tolerance capability of a sensor system. The redundancy degree of sensors plays two important roles pertaining to the robustness of a sensor network. First, the redundancy degree provides proper parameter values for robust estimator; second, we can...
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 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: ...
Geometric conditions for robust stability
Chapellat, Herve?
2012-06-07T23:59:59.000Z
controllers is a problem that is at the core of control theory and various design strategies have long been established to solve it for the case of a given, fixed model of the plant. 4 neiv problem arises liowever, when one considers the more reahstic case... concerns of the so-called theory of robust control and is currentlv an extremelv active area of research. Research in one part of this field has been stimulated by a very interesting result proved in 1984 by Chen and Desoer [1]. In their paper...
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 ...
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.
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, ...
Semidefinite Programming Based Preconditioning for More Robust ...
2013-10-08T23:59:59.000Z
It was first introduced in [2], and later proved to be robust in [15]. ...... From left to right: aluminum, solar cell, green glue, copper stripping, honeycomb side,.
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.
Two Variants of Robust Unit Commitment Model
2013-06-13T23:59:59.000Z
energy generation, as well as various contingencies, two-stage robust optimization .... economic dispatch and market buy/sell decisions that are con- tinuous ...
Recent Advances in Robust Optimization: An Overview
2013-05-23T23:59:59.000Z
ature of new application areas, especially energy systems and the public good. ...... strategies on real market data and discuss performance of the robust ...
Adjustable Robust Parameter Design with Unknown Distributions
ihsan Yanikoglu
2013-03-27T23:59:59.000Z
Mar 27, 2013 ... Adjustable Robust Parameter Design with Unknown Distributions. ihsan Yanikoglu(i.yanikoglu ***at*** uvt.nl) Dick den Hertog(d.denhertog ...
Optimization Online - Robust Optimization Submissions - 2012
An Exact Algorithm for Power Grid Interdiction Problem with Line Switching Long Zhao, Bo Zeng ... Robust Decision Making using a General Utility Set Jian Hu ...
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. ..... [9] Melvyn, S., “Robust optimization,” Ph.D. thesis, Massachusetts Institute of.
Robust Network Design: Formulations, Valid Inequalities, and ...
2011-08-31T23:59:59.000Z
Aug 31, 2011 ... traffic demand has to be already taken into account in the strategic .... we analyze the robustness for realistic networks and a demand forecast ...
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.
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 ...
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
objective robust design optimization of an engine
Paris-Sud XI, UniversitÃ© de
Multi- objective robust design optimization of an engine mounting system E. Courteille and F introduces a new method to support designers to find optimal and robust solutions of engine mounting system. The mounting system design is a compromise between isolation of the vehicle from engine vibration
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 constrained shortest path problems under budgeted ...
2014-09-12T23:59:59.000Z
[15] K.-S. Goetzmann, S. Stiller, and C. Telha. Optimization over integers with robustness in cost and few constraints. In WAOA, pages 89–101, 2011. [16] C. E.
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
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...
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 ...
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 (
Biologically-Inspired Robust Spatial Programming
Beal, Jacob
2005-01-18T23:59:59.000Z
Inspired by the robustness and flexibility of biological systems, we are developing linguistic and programming tools to allow us to program spatial systems populated by vast numbers of unreliable components interconnected ...
Vehicle Technologies Office Merit Review 2014: Robust Nitrogen...
Broader source: Energy.gov (indexed) [DOE]
Technologies Office Merit Review 2014: Robust Nitrogen oxideAmmonia Sensors for Vehicle on-board Emissions Control Vehicle Technologies Office Merit Review 2014: Robust Nitrogen...
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...
A robustness application for linear estimation
Kitzman, Kenneth Victor
1990-01-01T23:59:59.000Z
, recursive algorithm for yielding estimates of the state of a linear dynamic system (see, for example, the excellent tutorial [1]). Many other applications of this estimation scheme exist in the areas of signal processing, power systems, telecommunications... on robustness causes the coefficient which maximizes J to approach the coefficient which produces maximum robustness. 37 REFERENCES [1] I. B. Rhodes, "A Tutorial Introduction to Estimation and Filtering, "IEEE Trans. on Automatic Control, vol. AC-16, pp...
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.
Computer aided robust control with applications
Womack, Brian David
2012-06-07T23:59:59.000Z
COMPUTER AIDED ROBUST CONTROL WITH APPLICATIONS A Thesis by BRIAN DAVID WOMACK Submitted to the Office of Graduate Studies of Texas ASM University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE August 1990... Major Subject: Electrical Engineering COMPUTER AIDED ROBUST CONTROL WITH APPLICATIONS A Thesis by BRIAN DAVID WOMACK Approved as to style and content by: Mohammed A. Dahleh (Chair of Committee) Shanker P. Bhattacharyya Member) ostas N. Georghi...
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.
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
Robust exponential memory in Hopfield networks
Christopher Hillar; Ngoc M. Tran
2014-11-17T23:59:59.000Z
The Hopfield recurrent neural network is an auto-associative distributed model of memory. This architecture is able to store collections of generic binary patterns as robust attractors; i.e., fixed-points of the network dynamics having large basins of attraction. However, the number of (randomly generated) storable memories scales at most linearly in the number of neurons, and it has been a long-standing question whether robust super-polynomial storage is possible in recurrent networks of linear threshold elements. Here, we design sparsely-connected Hopfield networks on $n$-nodes having \\[\\frac{2^{\\sqrt{2n} + \\frac{1}{4}}}{n^{1/4} \\sqrt{\\pi}}\\] graph cliques as robust memories by analytically minimizing the probability flow objective function over these patterns. Our methods also provide a biologically plausible convex learning algorithm that efficiently discovers these networks from training on very few sample memories.
Preliminary Inputs for Wisconsin RPS Analysis
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 - SeptemberMicroneedles for medical point07.06 Agenda 2006 USERPreliminary
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.
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
Robust capacity expansion solutions for telecommunication ...
2010-08-03T23:59:59.000Z
networksX the ™osts of investment —nd the qu—lity of servi™e @ oƒA ...... Robust solutions with 1 ? ? for capacity constraints. Deterministic. Protection ...... tions networks under dem—nd un™ert—intyD in Proceedings of the 6th International.
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
A Robust Amorphous Hierarchy from Persistent Nodes
Beal, Jacob
2003-05-01T23:59:59.000Z
For a very large network deployed in space with only nearby nodes able to talk to each other, we want to do tasks like robust routing and data storage. One way to organize the network is via a hierarchy, but hierarchies ...
Davies, Christopher
modules play a pivotal role in generating robust cAMP oscillations; thus, significantly improving our/grant sponsor: 21C Frontier Microbial Genomics and Application Center Program; contract/grant number: MG08
Broader source: Energy.gov [DOE]
Montana’s renewable portfolio standard (RPS), enacted in April 2005 as part of the Montana Renewable Power Production and Rural Economic Development Act, requires public utilities and competitive...
Broader source: Energy.gov [DOE]
California’s Renewables Portfolio Standard (RPS) was originally established by legislation enacted in 2002. Subsequent amendments to the law have resulted in a requirement for California’s...
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...
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 ...
Development of a Robust Accelerometer-based Start of Combustion...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
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...
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...
Robust Polynomials and Quantum Algorithms Harry Buhrman
de Wolf, Ronald
Robust Polynomials and Quantum Algorithms Harry Buhrman Ilan Newman Hein RÂ¨ohrigÂ§ Ronald de Wolf are of interest in them- selves and have been the object of study for a while. Their minimal degree is H.B., H.R., and R.d.W. supported in part by the EU fifth framework projects QAIP, IST-1999-11234, and RESQ, IST-2001
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.
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, ...
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
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
APPROXIMATE HAMILTON DECOMPOSITIONS OF ROBUSTLY EXPANDING REGULAR DIGRAPHS
Osthus, Deryk
APPROXIMATE HAMILTON DECOMPOSITIONS OF ROBUSTLY EXPANDING REGULAR DIGRAPHS DERYK OSTHUS and is a robust outexpander has an approximate decomposition into edge-disjoint Hamilton cycles, i.e. G contains a set of r -o(r) edge-disjoint Hamilton cycles. Here G is a robust outexpander if for every set S which
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
Robust Multi-Objective Optimization in Aerodynamics using MGDA
Boyer, Edmond
Robust Multi-Objective Optimization in Aerodynamics using MGDA Daigo Maruyama NÂ° 8428-00919215,version1-16Dec2013 #12;Robust Multi-Objective Optimization in Aerodynamics using MGDA Daigo: This study deals with robust design optimization strategies in aerodynamics
Robust Extremes in Chaotic Deterministic Systems Renato Vitolo,
Robust Extremes in Chaotic Deterministic Systems Renato Vitolo, Mark P. Holland, and Christopher A: December 11, 2008) Abstract A chaotic deterministic system exhibits robust extremes when the statistics of its extreme values depend smoothly on the system's control parameters. Such robustness can
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...
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.
After 2020: prospects for Higher RPS Levels inHigher RPS Levels in
State law prohibits construction of new nuclear facilities until the federal government has designated a permanent nuclear waste repository Â· San Onofre Generating Station has closed permanentlyÂ· San Onofre
Distributed Robust Power System State Estimation
Kekatos, Vassilis
2012-01-01T23:59:59.000Z
Deregulation of energy markets, penetration of renewables, advanced metering capabilities, and the urge for situational awareness, all call for system-wide power system state estimation (PSSE). Implementing a centralized estimator though is practically infeasible due to the complexity scale of an interconnection, the communication bottleneck in real-time monitoring, regional disclosure policies, and reliability issues. In this context, distributed PSSE methods are treated here under a unified and systematic framework. A novel algorithm is developed based on the alternating direction method of multipliers. It leverages existing PSSE solvers, respects privacy policies, exhibits low communication load, and its convergence to the centralized estimates is guaranteed even in the absence of local observability. Beyond the conventional least-squares based PSSE, the decentralized framework accommodates a robust state estimator. By exploiting interesting links to the compressive sampling advances, the latter jointly es...
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.
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 ...
Derivative-free Robust Optimization for Circuit Design
2013-09-27T23:59:59.000Z
Keywords Robust Optimization · Derivative-free Methods · Circuit Design ... uncertainty in real-world applications. ... no first order information is available (
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 ...
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...
Robust Optimization Strategies for Total Cost Control in Project ...
2010-02-13T23:59:59.000Z
Feb 13, 2010 ... We describe robust optimization procedures for controlling total ... probability of meeting the overall project budget, compared to less than 45% ...
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.
Direct Numerical Simulations and Robust Predictions of Cloud...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
the center of the bubble cloud. Credit: Computational Science and Engineering Laboratory, ETH Zurich, Switzerland Direct Numerical Simulations and Robust Predictions of Cloud...
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 ...
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 ...
A practicable framework for distributionally robust linear optimization
2013-07-12T23:59:59.000Z
package named ROC, a C++ library that implements the techniques ...... X., M. Sim, P. Sun (2007) A robust optimization perspective on stochastic programming.
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, ...
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.
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
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
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 Optimization of Recommendation Sets with the Maximin Utility Criterion
Sandholm, Tuomas W.
possible user preferences, and make recommendations based on expected utility. Another line of work [1Robust Optimization of Recommendation Sets with the Maximin Utility Criterion Paolo Viappiani1 Mellon University, USA ckroer@cs.cmu.edu Abstract. We investigate robust decision-making under utility
Robust Multi-loop Airborne SLAM in Unknown Wind Environments
Kim, Jonghyuk "Jon"
Robust Multi-loop Airborne SLAM in Unknown Wind Environments Jonghyuk Kim Department of Engineering for Autonomous Systems University of Sydney, Australia Email: salah@acfr.usyd.edu.au Abstract-- This paper presents a robust multi-loop airborne SLAM structure which also augments wind information. The air velocity
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
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 Efficient Frontier Analysis with a Separable Uncertainty Model
Robust Efficient Frontier Analysis with a Separable Uncertainty Model Seung-Jean Kim Stephen Boyd efficient frontier, i.e., the optimal trade-off curve in terms of worst-case MV preference, as the extension of the efficient frontier to the worst-case MV analysis setting. We establish some basic properties of the robust
Local Approximation of the Efficient Frontier in Robust Design
Chen, Wei
Local Approximation of the Efficient Frontier in Robust Design Jinhuan Zhang, Graduate Assistant as an approximation of the efficient frontier to explore alternative robust design solutions. The proposed procedure, and for efficient frontiers with both convex and nonconvex behaviors. This quadratic utility function provides
Negative Feedback Facilitates Temperature Robustness in Biomolecular Circuit Dynamics
Murray, Richard M.
on circuit dynamics. Further, we find that eective negative feedback due to first-order degradation this goal of functional robustness have proceeded at multiple levels. At one level, there have been eorts, in the study of naturally occurring biomolecular circuits, robustness to the impor- tant environmental variable
A Robust Solution Searching Scheme in Genetic Shigeyoshi Tsutsui1
Tsutsui, Shigeyoshi
of aerospace control system, nuclear power control system, where a kind of robustness against the perturbation of the environmental features are important. In nature, the phenotypic feature of an organism is determined from develop a genetic search scheme which can produce robust solutions. The proposed approach uses the effect
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared0 Resource Program SeptemberRobertIntelligentRobust,Robust,Robust,
Robust and decentralized task assignment algorithms for UAVs
Alighanbari, Mehdi, 1976-
2007-01-01T23:59:59.000Z
This thesis investigates the problem of decentralized task assignment for a fleet of UAVs. The main objectives of this work are to improve the robustness to noise and uncertainties in the environment and improve the ...
Robust Stereo Tracking for Space Applications Fabien Dionnet, Eric Marchand
Boyer, Edmond
Robust Stereo Tracking for Space Applications Fabien Dionnet, Eric Marchand Abstract-- This paper has Authors are with INRIA, IRISA, projet Lagadic, F-35000 Rennes, France ; Email {Fabien.Dionnet,Eric.Marchand
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 option pricing : An [epsilon]-arbitrage approach
Chen, Si, S.M. Massachusetts Institute of Technology
2009-01-01T23:59:59.000Z
This research aims to provide tractable approaches to price options using robust optimization. The pricing problem is reduced to a problem of identifying the replicating portfolio which minimizes the worst case arbitrage ...
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
Robust Trajectory Planning for Autonomous Parafoils under Wind Uncertainty
How, Jonathan P.
A key challenge facing modern airborne delivery systems, such as parafoils, is the ability to accurately and consistently deliver supplies into di cult, complex terrain. Robustness is a primary concern, given that environmental ...
Accelerated Destructive Degradation Tests Robust to Distribution Misspecification
1 Accelerated Destructive Degradation Tests Robust to Distribution Misspecification Shuen-Lin Jeng, Taiwan, ROC William Q. Meeker Iowa State University, Ames, IOWA, USA Abstract Accelerated repeated. In certain products, measurements are destructive leading to accelerated destructive degradation test (ADDT
Robust Beamforming for Two-Way Relay Systems
Aziz, Ahsan
2013-08-14T23:59:59.000Z
derive two different methods to obtain either optimal or efficient suboptimal beam- forming matrix solutions. The first method involves solving the robust optimization problem using the S-procedure and semidefinite programming (SDP) with rank...
Robust model-based fault diagnosis for chemical process systems
Rajaraman, Srinivasan
2006-08-16T23:59:59.000Z
diagnosis systems, which use limited information about the process model to robustly detect, discriminate, and reconstruct instrumentation faults. Broadly, the proposed method consists of a novel nonlinear state and parameter estimator coupled with a fault...
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) ...
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 ...
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.
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.
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.
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.
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories Â»SubmitterJ. NorbyN. ComptonRobotRobust,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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared0 Resource Program SeptemberRobertIntelligentRobust,Robust,
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 Polynomials and Quantum Algorithms Harry Buhrman1,2
de Wolf, Ronald
Robust Polynomials and Quantum Algorithms Harry Buhrman1,2 , Ilan Newman3 , Hein RÂ¨ohrig4, . . . , ym) is a Boolean function H.B., H.R., and R.d.W. supported in part by the EU fifth framework
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
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
MFPS XIX Preliminary Version A Type System for Robust Declassification
Zdancewic, Steve
to capture the desired restrictions on declassification, but that work did not propose a method and then require that the decision to perform a declassification have high integrity. 1 Introduction SecurityMFPS XIX Preliminary Version A Type System for Robust Declassification Steve Zdancewic 1 University
Mobile Network Management and Robust Spatial Retreats via Network Dynamics
Zhang, Yanyong
1 Mobile Network Management and Robust Spatial Retreats via Network Dynamics Ke Ma, Yanyong Zhang., Piscataway, NJ 08854. Abstract-- The mobility provided by mobile ad hoc and sen- sor networks will facilitate new mobility-oriented services. Recent work has demonstrated that, for many issues, mobility
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
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
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 Self-assembly of Graphs Stanislav Angelov1
Pennsylvania, University of
Robust Self-assembly of Graphs Stanislav Angelov1 , Sanjeev Khanna2 , and MirkÂ´o Visontai3 1 Google, University of Pennsylvania Philadelphia, PA 19104, USA mirko@math.upenn.edu Abstract. Self-assembly studied model of self-assembly is the Accretive Graph Assembly Model whereby an edge-weighted graph
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
Robust optimization for intensity modulated radiation therapy treatment planning under
Henderson, Shane
treatment planning 2 1. Introduction Over the past ten years, continuing technological developments have discuss the uncertainty inherent in this problem in section 1.1, and show an example in section 1.2 of how current methods can produce plans that are not robust under uncertainty. In section 2 we present our model
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 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
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 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 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
HYBRID SYSTEMS: GENERALIZED SOLUTIONS AND ROBUST STABILITY 1
Goebel, Rafal
HYBRID SYSTEMS: GENERALIZED SOLUTIONS AND ROBUST STABILITY 1 Rafal Goebel Joao Hespanha Andrew R asymptotic stability for hybrid systems is considered. For this purpose, a generalized solution concept is developed. The first step is to characterize a hybrid time domain that permits an efficient description
Robust Performance of Spectrum Sensing in Cognitive Radio Networks
Huang, Jianwei
1 Robust Performance of Spectrum Sensing in Cognitive Radio Networks Shimin Gong, Ping Wang) in cognitive radio networks requires SUs to be spectrum aware and know which spectrum bands are occupied by PUs and reduces the system sensitivity on decision variables. Index Terms Cognitive radio network, spectrum
Robust Distributed Spectrum Sensing in Cognitive Radio Networks
unlicensed radios to operate in licensed spectrum, provided no harmful interference is expe- riencedRobust Distributed Spectrum Sensing in Cognitive Radio Networks Ruiliang Chen, Jung-Min Park {rlchen, jungmin, kgbian}@vt.edu Abstract--Distributed spectrum sensing (DSS) enables a Cog- nitive Radio
Robust Threshold Design for Cooperative Sensing in Cognitive Radio Networks
Huang, Jianwei
Wang, Jianwei Huang Abstract--The successful coexistence of cognitive radio sys- tems and licensed proposed algorithm. Index Terms--Cognitive radio, spectrum sensing, robust opti- mization, distribution uncertainty. I. Introduction Traditionally, wireless spectrum has been statically allocated to license holders
An Integrated Scenario-Based Approach for Robust Aircraft Routing ...
2013-03-12T23:59:59.000Z
process, it unfortunately fails to capture the many dependencies between the various stages, ... of such a schedule, or indeed its operational robustness. Such an approach ... satisfying necessary maintenance requirements. Finally .... mean turn-around time is determined by the standard aircraft ground operating procedures.
Robust Policies for the Transformer Acquisition and Allocation Problem
Powell, Warren B.
Robust Policies for the Transformer Acquisition and Allocation Problem Johannes Enders Department and allocation of high-voltage transformers over time. We analyze PJM's transmission system by simulating associated with transformer failures and replacements. #12;1 Introduction The replacement of the high
Motorcycle Riding Simulator: How to Estimate Robustly the Rider's Action?
Paris-Sud XI, UniversitÃ© de
1 Motorcycle Riding Simulator: How to Estimate Robustly the Rider's Action? Lamri Nehaoua, Hichem Arioui and Said Mammar Abstract This paper deals with a motorcycle riding simulator and addresses two key. The reconstructed torque is used as the main control of the virtual motorcycle dynamic model, in order to actuate
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
Optimally Robust Kalman Filtering at Work: AO-, IO-, and Simultaneously IO-and AO-Robust Filters
Ruckdeschel, Peter
Peter Ruckdeschel Fraunhofer ITWM, Abt. Finanzmathematik, Fraunhofer-Platz 1, 67663 Kaiserslautern. (2006), Fried et al. (2007). Keywords: robustness, Kalman Filter, innovation outlier, additive outlier), and to some extent Ruckdeschel (2001, Sect. 1.5). Email address: Peter.Ruckdeschel@itwm.fraunhofer.de (Peter
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
MasterProof Intrinsic Fluctuations, Robustness, and Tunability in Signaling Cycles
Mirny, Leonid
. Our results show that signaling cycles possess a surprising combination of robustness and tunabilityMasterProof Intrinsic Fluctuations, Robustness, and Tunability in Signaling Cycles Joseph Levine Institute of Technology, Cambridge, Massachusetts ABSTRACT Covalent modification cycles (e
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
32 Robust og bredygtig bioenergi september 2012 Af Brian Vad Mathiesen, David
Schaltz, Erik
32 Robust og bÃ¦redygtig bioenergi Â· september 2012 Af Brian Vad Mathiesen, David Connolly, Henrik me- get el ind i transportsektoren som muligt. #12;Robust og bÃ¦redygtig bioenergi Â· september 2012 33
Ultra-efficient, Robust and Well-defined Nano-Array based Monolithic...
Broader source: Energy.gov (indexed) [DOE]
Ultra-efficient, Robust and Well-defined Nano-Array based Monolithic Catalysts Ultra-efficient, Robust and Well-defined Nano-Array based Monolithic Catalysts This presentation...
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...
Electromechanical Mode Online Estimation using Regularized Robust RLS Methods
Zhou, Ning; Trudnowski, Daniel; Pierre, John W.; Mittelstadt, William
2008-11-01T23:59:59.000Z
This paper proposes a regularized robust recursive least square (R3LS) method for on-line estimation of power-system electromechanical modes based on synchronized phasor measurement unit (PMU) data. The proposed method utilizes an autoregressive moving average exogenous (ARMAX) model to account for typical measurement data, which includes low-level pseudo-random probing, ambient, and ringdown data.? A robust objective function is utilized to reduce the negative influence from non-typical data, which include outliers and missing data. A dynamic regularization method is introduced to help include a priori knowledge about the system and reduce the influence of under-determined problems. Based on a 17-machine simulation model, it is shown through the Monte-Carlo method that the proposed R3LS method can estimate and track electromechani-cal modes by effectively using combined typical and non-typical measurement data.
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.
Robust Agent Communities Sandip Sen, Sabyasachi Saha, Stephane Airiau, Teddy Candale,
Sen, Sandip
opportunities as well as challenges that can be best addressed by robust, self-sustaining agent communi- ties
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
City of Pasadena RPS Enforcement Program (Revision 1)
(January 1, 2017 through December 31, 2020): 27% by 2017, 29% by 2018, 31% by 2019, and 33% by 2020, and 33: (i) Portfolio Content Category Zero ("Category 0"): Resources procured prior to June 1, 2010 or 2 in accordance with PUC Section 399.16(b)(3). 3) Crediting Portfolio Content Categories The "Net
Calif. Utilities play catchup with Ever-Rising RPS targets
NONE
2008-08-15T23:59:59.000Z
The current status of attempts by California's three major utilities to meet mandated targets for producing power from renewable energy sources are sketched.
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 Data Center Home Page on Delicious RankCombustion |Energy Usage Â»of| Department ofDepartment of EnergyEnergy FebruaryDepartment
Webinar Presentation - Energy Storage in State RPS - Dec. 19, 2011 |
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector GeneralDepartment of EnergyofProject is onModelingFederalDepartmentEnergy About
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 Data Center Home Page on Delicious RankCombustion | Department ofT ib l L d F S i DOEToward aInnovationHydrogenNRGA C T S H E E T
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 on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision hasInformation Earth's Heat JumpInc Place: EdenOverview JumpJessi3bl's blog HomeJohn Deere Jump91.
Robust control for wind power systems A. Pintea 1,2
Paris-Sud XI, UniversitÃ© de
Robust control for wind power systems A. Pintea 1,2 , D. Popescu 1 , P. Borne 2 1 University input and has shown good robustness indicator values. Keywords: Wind power, robustness, renewable energy advantages of wind turbine usage, engineers build different control systems and optimized their functioning
Prices of robustness and reblending in oil industry Stefan Janaqi.* Jorge Aguilera*. Meriam Chbre**
Paris-Sud XI, UniversitÃ© de
Prices of robustness and reblending in oil industry Stefan Janaqi.* Jorge Aguilera*. Meriam ChÃ©bre. In this paper we present a method to calculate the prices of robustness and reblending through a robust real-time optimization method for the on-line linear oil blending process. Our approach places this problem in a wider
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
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...
Improving Robustness in Algebraic Scott MacLachlan
MacLachlan, Scott
) ) Â· Choose B-1 A-1 Â· Take x(1) = x(0) + B-1 r(0) Error propagation form: e(1) = (I - B-1 A)e(0) Improving) ) Â· Choose B-1 A-1 Â· Take x(1) = x(0) + B-1 r(0) Error propagation form: e(1) = (I - B-1 A)e(0) e(2) = (I) = (I - B-1 A)e(0) e(2) = (I - B-1 A)2 e(0) Improving Robustness in Algebraic Multigrid- p.5 #12
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.
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.
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.
Robust, High-Throughput Analysis of Protein Structures
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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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories Â»SubmitterJ. NorbyN. ComptonRobotRobust,
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared0 Resource Program SeptemberRobertIntelligentRobust,
Robust, Multifunctional Joint for Large Scale Power Production Stacks -
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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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared0 Resource ProgramEnergy Innovation Portal Robust,
Expanding Robust HCCI Operation (Delphi CRADA) | Department of Energy
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-UpHeat PumpRecord ofESPCof EnergyHouse11 DOEExhaust energyChemistryofExpandingRobust
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.
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.
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.
Robust Machine Learning Applied to Terascale Astronomical Datasets
Nicholas M. Ball; Robert J. Brunner; Adam D. Myers
2007-10-24T23:59:59.000Z
We present recent results from the Laboratory for Cosmological Data Mining (http://lcdm.astro.uiuc.edu) at the National Center for Supercomputing Applications (NCSA) to provide robust classifications and photometric redshifts for objects in the terascale-class Sloan Digital Sky Survey (SDSS). Through a combination of machine learning in the form of decision trees, k-nearest neighbor, and genetic algorithms, the use of supercomputing resources at NCSA, and the cyberenvironment Data-to-Knowledge, we are able to provide improved classifications for over 100 million objects in the SDSS, improved photometric redshifts, and a full exploitation of the powerful k-nearest neighbor algorithm. This work is the first to apply the full power of these algorithms to contemporary terascale astronomical datasets, and the improvement over existing results is demonstrable. We discuss issues that we have encountered in dealing with data on the terascale, and possible solutions that can be implemented to deal with upcoming petascale datasets.
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).
Robust message routing for mobile (wireless) ad hoc networks.
Goldsby, Michael E.; Johnson, Michael M.; Kilman, Dominique Marie (Sandia National Laboratories, Albuquerque, NM); Bierbaum, Neal Robert; Chen, Helen Y.; Ammerlahn, Heidi R.; Tsang, Rose P.; Nicol, David M. (University of Illinois, Urbana, IL)
2004-01-01T23:59:59.000Z
This report describes the results of research targeting improvements in the robustness of message transport in wireless ad hoc networks. The first section of the report provides an analysis of throughput and latency in the wireless medium access control (MAC) layer and relates the analysis to the commonly used 802.11 protocol. The second section describes enhancements made to several existing models of wireless MAC and ad hoc routing protocols; the models were used in support of the work described in the following section. The third section of the report presents a lightweight transport layer protocol that is superior to TCP for use in wireless networks. In addition, it introduces techniques that improve the performance of any ad hoc source routing protocol. The fourth section presents a novel, highly scalable ad hoc routing protocol that is based on geographic principles but requires no localization hardware.
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.
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.
Robust chaos in autonomous time-delay system
D. S. Arzhanukhina; S. P. Kuznetsov
2014-04-16T23:59:59.000Z
We consider an autonomous system constructed as modification of the logistic differential equation with delay that generates successive trains of oscillations with phases evolving according to chaotic maps. The system contains two feedback loops characterized by two generally distinct retarding time parameters. In the case of their equality, chaotic dynamics is associated with the Smale-Williams attractor that corresponds to the double-expanding circle map for the phases of the carrier of the oscillatory trains. Alternatively, at appropriately chosen two different delays attractor is close to torus with Anosov dynamics on it as the phases are governed by the Fibonacci map. In both cases the attractors manifest robustness (absence of regularity windows under variation of parameters) and presumably relate to the class of structurally stable hyperbolic attractors.
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.
Optimization of Modelica Models Utilizing Design of Experiments and Robust Design Methods.
Bröyn, Stefan
2014-01-01T23:59:59.000Z
??This thesis describes the implementation of Robust Design and Design of Experiments methodologies with the FMI Microsoft Excel Add-in (FMIE). FMIE allows engineers to use… (more)
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.
Improving datacenter performance and robustness with multipath TCP Paper #273, 14 pages
Wischik, Damon
Improving datacenter performance and robustness with multipath TCP Paper #273, 14 pages ABSTRACT by MPTCP. Using MPTCP allows us to rethink datacenter networks, with a different mindset
Robust quantum control using smooth pulses and topological winding
Edwin Barnes; Xin Wang; S. Das Sarma
2014-09-24T23:59:59.000Z
Powerful future technologies based on coherent quantum dynamical systems require an unprecedented level of control. Perhaps the greatest challenge in achieving such control is the decoherence induced by the environment, a problem which pervades experimental quantum physics and is particularly severe in the context of solid state quantum computing and nanoscale quantum devices because of the inherently strong coupling to the surrounding material. Recent years have seen rapid improvement in the quality of materials and in the design and fabrication of such systems, and it is crucial to match this progress with similar advances in the external control protocols used to manipulate quantum states so that the high levels of quantum coherence needed for technological applications persist despite the invariable presence of environmental noise. Here, we present an analytical approach that yields explicit constraints on the driving field which 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 non-Markovian 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. Our results constitute an important step toward achieving robust generic control of quantum systems, bringing their novel applications closer to realization.
Robust, multidimensional mesh motion based on Monge-Kantorovich equidistribution
Delzanno, G L [Los Alamos National Laboratory; Finn, J M [Los Alamos National Laboratory
2009-01-01T23:59:59.000Z
Mesh-motion (r-refinement) grid adaptivity schemes are attractive due to their potential to minimize the numerical error for a prescribed number of degrees of freedom. However, a key roadblock to a widespread deployment of the technique has been the formulation of robust, reliable mesh motion governing principles, which (1) guarantee a solution in multiple dimensions (2D and 3D), (2) avoid grid tangling (or folding of the mesh, whereby edges of a grid cell cross somewhere in the domain), and (3) can be solved effectively and efficiently. In this study, we formulate such a mesh-motion governing principle, based on volume equidistribution via Monge-Kantorovich optimization (MK). In earlier publications [1, 2], the advantages of this approach in regards to these points have been demonstrated for the time-independent case. In this study, demonstrate that Monge-Kantorovich equidistribution can in fact be used effectively in a time stepping context, and delivers an elegant solution to the otherwise pervasive problem of grid tangling in mesh motion approaches, without resorting to ad-hoc time-dependent terms (as in moving-mesh PDEs, or MMPDEs [3, 4]). We explore two distinct r-refinement implementations of MK: direct, where the current mesh relates to an initial, unchanging mesh, and sequential, where the current mesh is related to the previous one in time. We demonstrate that the direct approach is superior in regards to mesh distortion and robustness. The properties of the approach are illustrated with a paradigmatic hyperbolic PDE, the advection of a passive scalar. Imposed velocity flow fields or varying vorticity levels and flow shears are considered.
Robust, multidimensional mesh motion based on Monge-Kantorovich equidistribution
Chacon De La Rosa, Luis [ORNL; Delzanno, Gian Luca [Los Alamos National Laboratory (LANL); Finn, John M. [Los Alamos National Laboratory (LANL)
2011-01-01T23:59:59.000Z
Mesh-motion (r-refinement) grid adaptivity schemes are attractive due to their potential to minimize the numerical error for a prescribed number of degrees of freedom. However, a key roadblock to a widespread deployment of this class of techniques has been the formulation of robust, reliable mesh-motion governing principles, which (1) guarantee a solution in multiple dimensions (2D and 3D), (2) avoid grid tangling (or folding of the mesh, whereby edges of a grid cell cross somewhere in the domain), and (3) can be solved effectively and efficiently. In this study, we formulate such a mesh-motion governing principle, based on volume equidistribution via Monge-Kantorovich optimization (MK). In earlier publications [1] and [2], the advantages of this approach with regard to these points have been demonstrated for the time-independent case. In this study, we demonstrate that Monge-Kantorovich equidistribution can in fact be used effectively in a time-stepping context, and delivers an elegant solution to the otherwise pervasive problem of grid tangling in mesh-motion approaches, without resorting to ad hoc time-dependent terms (as in moving-mesh PDEs, or MMPDEs [3] and [4]). We explore two distinct r-refinement implementations of MK: the direct method, where the current mesh relates to an initial, unchanging mesh, and the sequential method, where the current mesh is related to the previous one in time. We demonstrate that the direct approach is superior with regard to mesh distortion and robustness. The properties of the approach are illustrated with a hyperbolic PDE, the advection of a passive scalar, in 2D and 3D. Velocity flow fields with and without flow shear are considered. Three-dimensional grid, time-step, and nonlinear tolerance convergence studies are presented which demonstrate the optimality of the approach.
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.
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
Proceedings of ENACTIVE/07 4th International Conference on Enactive Interfaces
Boyer, Edmond
device that supports the physical constrains/mechanical energy flow that are inherent to the haptic are two "ports" elements each provided with one side a mechanical port an on the other side, a signal output or input port These two components constitute the core of the interface between the user
4 Enaction and Enactive Interfaces: A Handbook of Terms ,66+-/'(#!!"#$*'/787*'/!
Paris-Sud XI, UniversitÃ© de
not displace. Movements are instru- mented by means of an intermediate real object (stick, wheels, balls- tual environments systems !! "#$%&'()$*'(#%+)',-) .#$%&'() *,.#$/,0*,%1. Further, it addresses the fundamental question of the types of relation between humans and the external world. Immersive systems
Decentralized robust control of a class of nonlinear systems and application to a boiler system
Marquez, Horacio J.
Decentralized robust control of a class of nonlinear systems and application to a boiler system Keywords: Asymptotic disturbance rejection Boiler systems Decentralized robust control Descriptor systems problem, a decentralized controller for the system can be calculated. In order to control a utility boiler
INTEGRATED DIRECT/INDIRECT ADAPTIVE ROBUST CONTROL OF MULTI-DOF HYDRAULIC ROBOTIC ARMS
Yao, Bin
INTEGRATED DIRECT/INDIRECT ADAPTIVE ROBUST CONTROL OF MULTI-DOF HYDRAULIC ROBOTIC ARMS Amit/indirect adaptive robust control (DIARC) strategy for a hydraulically actuated 3-DOF robotic arm. To avoid the need FOUNDATION GRANT NO. CMS-0600516. draulic robot arm (a scaled down version of an industrial back- hoe
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
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
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
Pota, Himanshu Roy
using IQCs. Generator speed is used as the output feedback variable for the controller, due to the fact the problem of designing a robust controller for a generator connected to a multi-machine grid system. To make the controller robust against parameter varia- tions around the operating point, system parameter variations, due
An Affordable Approach for Robust Design of Thick Laminated Composite Structure
Chen, Wei
An Affordable Approach for Robust Design of Thick Laminated Composite Structure Wei Chen* Assistant of thick laminated composite structures. Our approach integrates the principles of the Robust Concept-level optimization procedure for managing the complexity of composite structure optimization. Foundational
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
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
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
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
Dynamical robustness of biological networks with hierarchical distribution of time scales
Radulescu, Ovidiu
]. Networks of regulating micro-RNA could be key players in canalising genetic developmental programmes [15Dynamical robustness of biological networks with hierarchical distribution of time scales A, the robustness of the relax- ation time using a chemical reaction description of genetic and signalling networks
Robust control/scheduling co-design: application to robot control Daniel Simon
Paris-Sud XI, UniversitÃ© de
Robust control/scheduling co-design: application to robot control Daniel Simon INRIA Rh of robust closed-loop control can also be ap- plied to the real-time scheduler to provide on-line adap- tion of some scheduling parameters, with the objective of controlling the computing resource allocation
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
ROBUST 3-WAY TENSOR DECOMPOSITION AND EXTENDED STATE KALMAN FILTERING TO EXTRACT FETAL ECG
Boyer, Edmond
ROBUST 3-WAY TENSOR DECOMPOSITION AND EXTENDED STATE KALMAN FILTERING TO EXTRACT FETAL ECG Mohammad ABSTRACT This paper addresses the problem of fetal electrocardiogram (ECG) extraction from multichannel that are robust to outliers are proposed and used to better track weak traces of the fetal ECG. Then, the state
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.
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 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...
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...
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.
Enhancing robustness of multiparty quantum correlations using weak measurement
Uttam Singh; Utkarsh Mishra; Himadri Shekhar Dhar
2014-03-12T23:59:59.000Z
Multipartite quantum correlations are important resources for the development of quantum information and computation protocols. However, the resourcefulness of multipartite quantum correlations in practical settings is limited by its fragility under decoherence due to environmental interactions. Though there exist protocols to protect bipartite entanglement under decoherence, the implementation of such protocols for multipartite quantum correlations has not been sufficiently explored. Here, we study the effect of local amplitude damping channel on the generalized Greenberger-Horne-Zeilinger state, and use a protocol of optimal reversal quantum weak measurement to protect the multipartite quantum correlations. We observe that the weak measurement reversal protocol enhances the robustness of multipartite quantum correlations. Further it increases the critical damping value that corresponds to entanglement sudden death. To emphasize the efficacy of the technique in protection of multipartite quantum correlation, we investigate two proximately related quantum communication tasks, namely, quantum teleportation in a one sender, many receivers setting and multiparty quantum information splitting, through a local amplitude damping channel. We observe an increase in the average fidelity of both the quantum communication tasks under the weak measurement reversal protocol. The method may prove beneficial, for combating external interactions, in other quantum information tasks using multipartite resources.
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 ...
Robustness analysis of State-of-Charge estimation methods for two types of Li-ion batteries
Peng, Huei
Robustness analysis of State-of-Charge estimation methods for two types of Li-ion batteries estimation Li-ion battery Robustness analysis a b s t r a c t Battery State of Charge (SOC) estimation. This paper analyzes the robustness of SOC estimation algorithms for two types of Li-ion batteries under
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
THEORETICAL MODELING AND COMPUTATIONAL SIMULATION OF ROBUST CONTROL FOR MARS AIRCRAFT
Oh, Seyool
2014-05-31T23:59:59.000Z
The focus of this dissertation is the development of control system design algorithms for autonomous operation of an aircraft in the Martian atmosphere. This research will show theoretical modeling and computational simulation of robust control...
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 ...
Reliable p-median facility location problem: two-stage robust models ...
2012-12-18T23:59:59.000Z
plane method in the two-stage facility location problem and power system scheduling ... (ii) Because of the modeling advantages of two-stage RO, we consider real ...... Robust Unit Commitment Problem with Demand Response and Wind.
Joint Uncertainty Decoding for Noise Robust Speech Recognition H. Liao and M. J. F. Gales
Gales, Mark
Joint Uncertainty Decoding for Noise Robust Speech Recognition H. Liao and M. J. F. Gales Cambridge acoustic environment. Examples in this class include Parallel Model Combination (PMC) [2] and Vector Tay
Robust Cyclohexanone Selective Chemiresistors Based on Single-Walled Carbon Nanotubes
Frazier, Kelvin Mitchell
Functionalized single-walled carbon nanotube (SWCNT)-based chemiresistors are reported for a highly robust and sensitive gas sensor to selectively detect cyclohexanone, a target analyte for explosive detection. The ...
Robust Nitrogen Oxide/Ammonia Sensors for Vehicle On-board Emissions...
Broader source: Energy.gov (indexed) [DOE]
ace079mukundan2012o.pdf More Documents & Publications Robust Nitrogen OxideAmmonia Sensors for Vehicle On-board Emissions Control Vehicle Technologies Office Merit Review 2014:...
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...
A fast, robust and tunable synthetic gene oscillator Jesse Stricker1
Hasty, Jeff
LETTERS A fast, robust and tunable synthetic gene oscillator Jesse Stricker1 *, Scott Cookson1 *, Matthew R. Bennett1,2 *, William H. Mather1 , Lev S. Tsimring2 & Jeff Hasty1,2 One defining goal
E-Print Network 3.0 - adaptive robust control Sample Search Results
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
for: adaptive robust control Page: << < 1 2 3 4 5 > >> 1 Jee-Hwan Ryu School of Mechanical Engineering Summary: and Education Inverse Dynamics Control 12;Korea University of...
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, ...
Ultra-efficient, Robust and Well-defined Nano-Array based Monolithic...
Broader source: Energy.gov (indexed) [DOE]
Ultra-efficient, Robust and Well-defined Nano-Array based Monolithic Catalysts Yanbing Guo, Zheng Ren, and Pu-Xian Gao Department of Chemical, Materials and Biomolecular...
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...
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.
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...
Liu Wei; Li Xiaoqiang; Park, Peter C.; Ronald Zhu, X.; Mohan, Radhe [Department of Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, Texas 77030 (United States); Frank, Steven J. [Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas 77030 (United States); Li Yupeng [Varian Medical Systems, Inc., Palo Alto, California 94304 (United States); Dong Lei [Scripps Proton Center, San Diego, California 92121 (United States)
2013-05-15T23:59:59.000Z
Purpose: Intensity-modulated proton therapy (IMPT) is highly sensitive to uncertainties in beam range and patient setup. Conventionally, these uncertainties are dealt using geometrically expanded planning target volume (PTV). In this paper, the authors evaluated a robust optimization method that deals with the uncertainties directly during the spot weight optimization to ensure clinical target volume (CTV) coverage without using PTV. The authors compared the two methods for a population of head and neck (H and N) cancer patients. Methods: Two sets of IMPT plans were generated for 14 H and N cases, one being PTV-based conventionally optimized and the other CTV-based robustly optimized. For the PTV-based conventionally optimized plans, the uncertainties are accounted for by expanding CTV to PTV via margins and delivering the prescribed dose to PTV. For the CTV-based robustly optimized plans, spot weight optimization was guided to reduce the discrepancy in doses under extreme setup and range uncertainties directly, while delivering the prescribed dose to CTV rather than PTV. For each of these plans, the authors calculated dose distributions under various uncertainty settings. The root-mean-square dose (RMSD) for each voxel was computed and the area under the RMSD-volume histogram curves (AUC) was used to relatively compare plan robustness. Data derived from the dose volume histogram in the worst-case and nominal doses were used to evaluate the plan optimality. Then the plan evaluation metrics were averaged over the 14 cases and were compared with two-sided paired t tests. Results: CTV-based robust optimization led to more robust (i.e., smaller AUCs) plans for both targets and organs. Under the worst-case scenario and the nominal scenario, CTV-based robustly optimized plans showed better target coverage (i.e., greater D{sub 95%}), improved dose homogeneity (i.e., smaller D{sub 5%}- D{sub 95%}), and lower or equivalent dose to organs at risk. Conclusions: CTV-based robust optimization provided significantly more robust dose distributions to targets and organs than PTV-based conventional optimization in H and N using IMPT. Eliminating the use of PTV and planning directly based on CTV provided better or equivalent normal tissue sparing.
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.
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.
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...
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.
A robust and well shielded thermal conductivity device for low temperature measurements
Toews, W. H.; Hill, R. W. [GWPI and Department of Physics and Astronomy, University of Waterloo, Waterloo, Ontario N2L 3G1 (Canada)] [GWPI and Department of Physics and Astronomy, University of Waterloo, Waterloo, Ontario N2L 3G1 (Canada)
2014-04-15T23:59:59.000Z
We present a compact mechanically robust thermal conductivity measurement apparatus for measurements at low temperatures (<1 K) and high magnetic fields on small high-purity single crystal samples. A high-conductivity copper box is used to enclose the sample and all the components. The box provides protection for the thermometers, heater, and most importantly the sample increasing the portability of the mount. In addition to physical protection, the copper box is also effective at shielding radio frequency electromagnetic interference and thermal radiation, which is essential for low temperature measurements. A printed circuit board in conjunction with a braided ribbon cable is used to organize the delicate wiring and provide mechanical robustness.
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.
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
Robust Optical-Flow Based Self-Motion Estimation for a Quadrotor UAV
Robust Optical-Flow Based Self-Motion Estimation for a Quadrotor UAV Volker Grabe, Heinrich H. B the UAV ego-motion using a monoc- ular camera and on-board hardware. Our method exploits the continuous belonging to the dominant plane in the scene. Extensive experiments on a real quadrotor UAV demonstrate
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
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 for optical flow estimation. The method efficiently combines the advantage of discrete motion estimation and optical flow estimation in a recursive block-to-pixel estimation scheme. Integrated local and global
Marquez, Horacio J.
Decentralized robust PI controller design for an industrial boiler Batool Labibi a,*, Horacio Jose in revised form 23 April 2008 Accepted 23 April 2008 Keywords: Industrial utility boiler Internal model boiler, a control oriented nonlinear model for the boiler is identified. The nonlinearity of the system
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
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
State Regulatory Framework Will Most Likely Result in Robust CO2 Pipeline System, New Study Says
Broader source: Energy.gov [DOE]
A private sector model with a state rather than Federal-based regulatory framework is the approach that will "most likely result in a robust CO2 pipeline system" in the United States, according to a new report developed with funding from the U.S. Department of Energy’s National Energy Technology Laboratory.
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 battery aging Â· Worst-case duty cycles and environments drive the need to oversize batteries Â· Systems with vehicle simulations under realistic driving cycles and environments ASTR 2010 Oct 6 Â 8, Denver. Colorado
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
Yao, Bin
Nonlinear Model Based Coordinated Adaptive Robust Control of Electro-hydraulic Robotic Arms via by electrical motors, hydraulic robot arms have a richer nonlinear dynam- ics and stronger couplings among uncertainties only. Simulation and experimental results on a three degree-of-freedom (DOF) hydraulic robot arm
Edinburgh, University of
T S C R T S C #12;Noise compensation Larger modelling power higher recognition accuracy. Our systemsJoint Uncertainty Decoding with Unscented Transform for Noise-robust Subspace Gaussian Mixture [Povey et al., 2011] In mismatched condition (i.e. noise), the gain disappears Goal Noise compensation
Robust feasibility for control of water flow in a reservoir-canal system
. Bayen, Laurent El Ghaoui and Shankar Sastry Abstract-- A robust control problem for distant downstream) at the downstream end does not deviate outside of pre- scribed bounds under the effect of downstream perturbations, the disturbance is the downstream discharge devi- ation and the output is the downstream stage deviation
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
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 Robust STATCOM Control to Augment LVRT capability of Fixed Speed Wind Turbines
Pota, Himanshu Roy
A Robust STATCOM Control to Augment LVRT capability of Fixed Speed Wind Turbines M. J. Hossain, H Compensator (STATCOM) to enhance the Low-Voltage Ride- Through (LVRT) capability of fixed-speed wind turbines cost and maintenance due to rugged brushless construction. Constant speed wind turbines equipped
A Mobile Vision System for Robust Multi-Person Tracking Andreas Ess1
Giger, Christine
A Mobile Vision System for Robust Multi-Person Tracking Andreas Ess1 Bastian Leibe1 Konrad,leibe,konrads}@vision.ee.ethz.ch vangool@esat.kuleuven.be Abstract We present a mobile vision system for multi-person track- ing in busy systems. In particular, there is a strong need for mobile vision systems than can operate in unconstrained
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
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
Adaptive RED: An Algorithm for Increasing the Robustness of RED's Active Queue Management
Floyd, Sally
Adaptive RED: An Algorithm for Increasing the Robustness of RED's Active Queue Management Sally, under submission Abstract The RED active queue management algorithm allows net- work operators is quite sensitive to the level of congestion and to the RED parameter settings, and is therefore not pre
Adaptive RED: An Algorithm for Increasing the Robustness of RED's Active Queue Management
Floyd, Sally
Adaptive RED: An Algorithm for Increasing the Robustness of RED's Active Queue Management Sally, under submission Abstract The RED active queue management algorithm allows netÂ work operators is quite sensitive to the level of congestion and to the RED parameter settings, and is therefore not pre
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
A New Robust Operator for Computer Vision: Application to Range and Intensity Images
Bystroff, Chris
because both the foreground and background project to the same sensor pixel, and in part because along on the robustness of reconstruction techniques. First, when there are many depth discontinuities, range sensors can in the foreground and one in the background, intermingling over large image regions. The data values from one
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
ccsd-00002179,version1-7Jul2004 A Value-At-Risk Approach for Robust
Paris-Sud XI, UniversitÃ© de
yearly power management. Given electric generation plants (nuclear, thermal and hydroelectric power generator plants, demand side management contracts modelled as a virtual plant called EJP), the objectiveccsd-00002179,version1-7Jul2004 A Value-At-Risk Approach for Robust Management of Electricity Power
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
MECCA: A Robust Low-Overhead PUF Using Embedded Memory Array
Bhunia, Swarup
process variations. Existing PUFs suffer from increased overhead to the original design due using a pro- grammable word line duty cycle controller. Since most modern designs already haveMECCA: A Robust Low-Overhead PUF Using Embedded Memory Array Aswin Raghav Krishna, Seetharam
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
KÃ¼hn, Daniela
FINDING HAMILTON CYCLES IN ROBUSTLY EXPANDING DIGRAPHS DEMETRES CHRISTOFIDES, PETER KEEVASH, DANIELA KÂ¨UHN AND DERYK OSTHUS Abstract. We provide an NC algorithm for finding Hamilton cycles for the existence of Hamilton cycles in terms of the degree sequence and thus we provide algorithmic proofs of (i
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
Invadable Self-Assembly: Combining Robustness with Efficiency Ho-Lin Chen
Goel, Ashish
Invadable Self-Assembly: Combining Robustness with Efficiency Ho-Lin Chen Stanford University Qi California Pablo Moisset de EspanÂ´es Â¶ University of Southern California Abstract DNA self-assembly. In nature, DNA self-assembly is often equipped with explicit mechanisms for both error prevention and error
Robust and Probabilistic Power-aware Scheduling of Wireless Sensor Networks
Egerstedt, Magnus
that sensing devices are equipped with small devices like solar panels to harvest energy. In such scenariosRobust and Probabilistic Power-aware Scheduling of Wireless Sensor Networks Hassan Jaleel to its available power. More importantly, to compensate for the effects of decrease in available power
Robust Spatio-temporal Matching of Electronic Slides to Presentation Videos
Barnard, Kobus
1 Robust Spatio-temporal Matching of Electronic Slides to Presentation Videos Quanfu Fan, Kobus- matically matching and time-aligning electronic slides to videos of corresponding presentations. Matching electronic slides to videos provides new methods for indexing, searching, and browsing videos in distance
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 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
The development of a robust, autonomous sensor network platform for environmental monitoring.
Marshall, Ian W.
The development of a robust, autonomous sensor network platform for environmental monitoring. L of environmental impact on a coastal sea bed of a wind farm. Wind farms are seen as a key feature negative, environmental impacts. The complex interplay between the: oceans currents; wind; coast line
Closed-loop model identification and PID/PI tuning for robust anti-slug control
Skogestad, Sigurd
is the recommended solution to prevent severe slugging flow at offshore oilfields. This requires operation in an open in the industry, but they need to be tuned appropriately for robustness against plant changes and large inflow control 1. INTRODUCTION The severe-slugging flow regime at offshore oilfields is characterized by large
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.
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 Ã? 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
PRINCIPLES OF ROBUST MEDIUM ACCESS AND AN APPLICATION TO LEADER ELECTION
Schmid, Stefan
PRINCIPLES OF ROBUST MEDIUM ACCESS AND AN APPLICATION TO LEADER ELECTION BARUCH AWERBUCH1, ANDREA nodes within transmission (and interference) range of each other, and we model the external disruptions-jammed time periods under any adversarial strategy above. The derived principles are also useful to build
Robust model based control method for wind energy production A. Pintea 1
Boyer, Edmond
Robust model based control method for wind energy production A. Pintea 1 , D. Popescu 1 , Ioana change effects will come to dominate every part of the earth. Wind power energy represents an interesting alternative to traditional forms of obtaining energy. However, the efficiency of wind power strongly depends
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
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
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-scale Markov jump parameter systems framework. In this paper, unlike other control schemes, OLTC transformers
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
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
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
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
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 and A. Yacoby1 * The nitrogen-vacancy defect centre in diamond1Â4 has potential applications processing9 and bioimaging10 . These applications rely on the ability to pos- ition a single nitrogen-vacancy
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
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
Locating a competitive facility in the plane with a robustness criterion*
2010-03-05T23:59:59.000Z
Mar 5, 2010 ... If it always does, we perceive a design as robust. ... The reader is also referred to Hendrix et al. ... It is shown in particular that the model of Drezner et al. ..... 0,047. 0,030. 100. 316. 1100. 435,70. 71. 176. 92,90. 0,047. 0,203.
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
Robust Beamforming for OFDM Modulated Two-Way MIMO Relay Network
Zhou, Jianwei
2012-07-16T23:59:59.000Z
ratio (SINR) requirements of source nodes. This problem is first formulated as a non-convex optimization problem, and it is next relaxed to a semi-definite programming (SDP) problem by utilizing the S-procedure and rank-one relaxation. This robust...
Robust Gain Scheduling techniques for Adaptive control Patrice Antoinette and Gilles Ferreres
Robust Gain Scheduling techniques for Adaptive control Patrice Antoinette and Gilles Ferreres for implementing the LFT controller is reduced. This controller is scheduled as a function of the parameters) and of gain- scheduled control (LPV methods) has been (much) less investigated, see for instance [10], [11
Increase of global monsoon area and precipitation under global warming: A robust signal?
Li, Tim
) and the global monsoon total precipitation (GMP) have increased during 1979Â2008 [Hsu et al., 2011; Wang et alIncrease of global monsoon area and precipitation under global warming: A robust signal? Pang of people around the world. The global monsoon precipitation had an increasing trend over the past three
Stochastic Modeling and Optimization for Robust Power Management in a Partially Observable System
Qiu, Qinru
or hard disk. The power management hardware/software monitors the state transition in the systemStochastic Modeling and Optimization for Robust Power Management in a Partially Observable System As the hardware and software complexity grows, it is unlikely for the power management hardware/software to have
Cooperative Robust Sequential Detection Algorithms for Spectrum Sensing in Cognitive Radio
Sharma, Vinod
Cooperative Robust Sequential Detection Algorithms for Spectrum Sensing in Cognitive Radio Arun consider the problem of Spectrum Sensing in Cogni- tive Radio Networks. In our previous work we have algorithm. We also analyze these algorithms theoretically. Keywords-Cognitive Radio, Cooperative Spectrum
Phylogeny.fr: Robust Phylogenetic Analysis for the Non-Specialist A. Dereeper1,*
Paris-Sud XI, UniversitÃ© de
1 Phylogeny.fr: Robust Phylogenetic Analysis for the Non-Specialist A. Dereeper1,* , V. Guignon2 reconstruction and the graphical representation of the inferred tree. The Phylogeny.fr platform transparently the specialists will be able to easily build and run sophisticated analyses. Phylogeny.fr offers three main modes
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...
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.
IMPROVING THE ROBUSTNESS OF FUZZY LOGIC ATM ABR RATE CONTROL FOR LARGE ROUND TRIP TIMES
Andrew, Lachlan
IMPROVING THE ROBUSTNESS OF FUZZY LOGIC ATM ABR RATE CONTROL FOR LARGE ROUND TRIP TIMES Lachlan L in the presence of a large round trip time (RTT). A simple fuzzy logic controller was recently shown to perform. In recent years, fuzzy logic [4,5] has shown promise in the control of complex systems, and several fuzzy
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
Robust Optimization of Oil Reservoir Flooding G.M. van Essen, M.J. Zandvliet,
Van den Hof, Paul
Robust Optimization of Oil Reservoir Flooding G.M. van Essen, M.J. Zandvliet, P.M.J. Van den Hof the reservoir to the subsurface. The injection wells inject water into the oil reservoir with the aim to push reservoirs, the oil-water front does not travel uniformly towards the pro- duction wells, but is usually
Design of a Robust Digital Current Controller for a Grid Connected Interleaved Inverter
Design of a Robust Digital Current Controller for a Grid Connected Interleaved Inverter M. A for a three- phase voltage source grid-connected interleaved inverter. Each phase consists of 6 half of electrical sources include fuel cells, solar cells, wind turbines, flywheel, and batteries. Most
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
The robust dynamical contribution to precipitation extremes in idealized warming simulations
Chen, Gang
The robust dynamical contribution to precipitation extremes in idealized warming simulations across shift under climate warming on the distribution of precipitation extremes and the associated sensitivity in the frequency of the most extreme categories of the precipitation events at the poleward side of the midlatitude
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
Robust and fault-tolerant linear parameter-varying control of wind turbines Christoffer Sloth a,,1
Hansen, RenÃ© 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
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
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
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
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
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
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 Home5b9fcbce19 No revisionEnvReviewNonInvasiveExploration Jump to:FieldProceduresFY JumpThis is a4Link"Auth8Link
Alternative Fuels Data Center: States Enact Natural Gas Vehicle and
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAbout theOFFICE OFFuelsPropane Tank OverfillSan Diego
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 ...
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.
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.
Rodrigo Laje; Dean V. Buonomano
2012-10-07T23:59:59.000Z
It is widely accepted that the complex dynamics characteristic of recurrent neural circuits contributes in a fundamental manner to brain function. Progress has been slow in understanding and exploiting the computational power of recurrent dynamics for two main reasons: nonlinear recurrent networks often exhibit chaotic behavior and most known learning rules do not work in robust fashion in recurrent networks. Here we address both these problems by demonstrating how random recurrent networks (RRN) that initially exhibit chaotic dynamics can be tuned through a supervised learning rule to generate locally stable neural patterns of activity that are both complex and robust to noise. The outcome is a novel neural network regime that exhibits both transiently stable and chaotic trajectories. We further show that the recurrent learning rule dramatically increases the ability of RRNs to generate complex spatiotemporal motor patterns, and accounts for recent experimental data showing a decrease in neural variability in response to stimulus onset.
Anodic Deposition of a Robust Iridium-Based Water-Oxidation Catalyst from Organometallic Precursors
Blakemore, James D; Schley, Nathan D; Olack, G.; Incarvito, Christopher D; Brudvig, Gary W; Crabtree, Robert H
2011-01-01T23:59:59.000Z
Artificial photosynthesis, modeled on natural light-driven oxidation of water in Photosystem II, holds promise as a sustainable source of reducing equivalents for producing fuels. Few robust water-oxidation catalysts capable of mediating this difficult four-electron, four-proton reaction have yet been described. We report a new method for generating an amorphous electrodeposited material, principally consisting of iridium and oxygen, which is a robust and long-lived catalyst for water oxidation, when driven electrochemically. The catalyst material is generated by a simple anodic deposition from Cp*Ir aqua or hydroxo complexes in aqueous solution. This work suggests that organometallic precursors may be useful in electrodeposition of inorganic heterogeneous catalysts.
Electromechanical Mode On-line Estimation using Regularized Robust RLS Methods
Zhou, Ning; Trudnowski, Daniel J.; Pierre, John W.; Mittelstadt, William
2010-04-28T23:59:59.000Z
This paper proposes a regularized robust recursive least squares (R3LS) method for on-line estimation of power-system electromechanical modes based on synchronized phasor measurement unit (PMU) data. The proposed method utilizes an autoregressive moving average exogenous (ARMAX) model to account for typical measurement data, which includes low-level pseudo-random probing, ambient, and ringdown data.? A robust objective function is utilized to reduce the negative influence from non-typical data, which include outliers and missing data. A dy-namic regularization method is introduced to help include a priori knowledge about the system and reduce the influence of under-determined problems. Based on a 17-machine simulation model, it is shown through the Monte-Carlo method that the proposed R3LS method can estimate and track electromechanical modes by effectively using combined typical and non-typical measurement data.
Robust energy transfer mechanism via precession resonance in nonlinear turbulent wave systems
Miguel D. Bustamante; Brenda Quinn; Dan Lucas
2014-04-30T23:59:59.000Z
A robust energy transfer mechanism is found in nonlinear wave systems, which favours transfers towards modes interacting via triads with nonzero frequency mismatch, applicable in meteorology, nonlinear optics and plasma wave turbulence. We introduce the concepts of truly dynamical degrees of freedom and triad precession. Transfer efficiency is maximal when the triads' precession frequencies resonate with the system's nonlinear frequencies, leading to a collective state of synchronised triads with strong turbulent cascades at intermediate nonlinearity. Numerical simulations confirm analytical predictions.
Quantum Robust Stability of a Small Josephson Junction in a Resonant Cavity
Ian R. Petersen
2013-01-09T23:59:59.000Z
This paper applies recent results on the robust stability of nonlinear quantum systems to the case of a Josephson junction in a resonant cavity. The Josephson junction is characterized by a Hamiltonian operator which contains a non-quadratic term involving a cosine function. This leads to a sector bounded nonlinearity which enables the previously developed theory to be applied to this system in order to analyze its stability.
Robustness of two-way quantum communication protocols against Trojan horse attack
Fu-Guo Deng; Ping Zhou; Xi-Han Li; Chun-Yan Li; Hong-Yu Zhou
2005-08-23T23:59:59.000Z
We discuss the robustness of two-way quantum communication protocols against Trojan horse attack and introduce a novel attack, delay-photon Trojan horse attack. Moreover, we present a practical way for two-way quantum communication protocols to prevent the eavesdropper from stealing the information transmitted with Trojan horse attacks. It means that two-way quantum communication protocols is also secure in a practical application.
David Keitel; Reinhard Prix
2015-01-16T23:59:59.000Z
The multi-detector F-statistic is close to optimal for detecting continuous gravitational waves (CWs) in Gaussian noise. However, it is susceptible to false alarms from instrumental artefacts, for example quasi-monochromatic disturbances ('lines'), which resemble a CW signal more than Gaussian noise. In a recent paper [Keitel et al 2014, PRD 89 064023], a Bayesian model selection approach was used to derive line-robust detection statistics for CW signals, generalising both the F-statistic and the F-statistic consistency veto technique and yielding improved performance in line-affected data. Here we investigate a generalisation of the assumptions made in that paper: if a CW analysis uses data from two or more detectors with very different sensitivities, the line-robust statistics could be less effective. We investigate the boundaries within which they are still safe to use, in comparison with the F-statistic. Tests using synthetic draws show that the optimally-tuned version of the original line-robust statistic remains safe in most cases of practical interest. We also explore a simple idea on further improving the detection power and safety of these statistics, which we however find to be of limited practical use.
CALiPER Report 20.3: Robustness of LED PAR38 Lamps
Poplawski, Michael E.; Royer, Michael P.; Brown, Charles C.
2014-12-31T23:59:59.000Z
Three samples of 40 of the Series 20 PAR38 lamps underwent multi-stress testing, whereby samples were subjected to increasing levels of simultaneous thermal, humidity, electrical, and vibrational stress. The results do not explicitly predict expected lifetime or reliability, but they can be compared with one another, as well as with benchmark conventional products, to assess the relative robustness of the product designs. On average, the 32 LED lamp models tested were substantially more robust than the conventional benchmark lamps. As with other performance attributes, however, there was great variability in the robustness and design maturity of the LED lamps. Several LED lamp samples failed within the first one or two levels of the ten-level stress plan, while all three samples of some lamp models completed all ten levels. One potential area of improvement is design maturity, given that more than 25% of the lamp models demonstrated a difference in failure level for the three samples that was greater than or equal to the maximum for the benchmarks. At the same time, the fact that nearly 75% of the lamp models exhibited better design maturity than the benchmarks is noteworthy, given the relative stage of development for the technology.
Paris-Sud XI, UniversitÃ© de
A Study of Maintenance Contribution to a Joint Production and Preventive maintenance Scheduling production and Preventive Maintenance (PM) scheduling problem in the robustness framework. The contributions equipment reliability and performance loss under disruption Key words: Production, Preventive maintenance
Transactions of NAMRI/SME 39 Volume XXX, 2002 OPTIMAL AND ROBUST DESIGN OF LASER FORMING PROCESS
Yao, Y. Lawrence
Transactions of NAMRI/SME 39 Volume XXX, 2002 OPTIMAL AND ROBUST DESIGN OF LASER FORMING PROCESS parameters, including laser power, beam scanning velocity, beam diameter and #12;Transactions of NAMRI/SME 40
Texas at Dallas, University of
Hasan, and John H.L. Hansen Center for Robust Speech Systsems (CRSS) Erik Jonsson School of Engineering and Computer Science The University of Texas at Dallas, Richardson, TX 75080-3021, USA {sadjadi, taufiq.hasan
Schindler, Konrad
1 Robust Multi-Person Tracking from a Mobile Platform Andreas Ess, Bastian Leibe, Konrad Schindler the combination of and careful interplay between A. Ess is with the Computer Vision Laboratory at ETH Zurich
Texas at Austin, University of
Combining a New 3-D Seismic S-Wave Propagation Analysis for Remote Fracture Detection with a Robust. This report culminates Phase 2 of the study, Combining a New 3-D Seismic S-Wave Propagation Analysis
Full operating range robust hybrid control of a coal-fired boiler/turbine unit - article no. 041011
Zheng, K.; Bentsman, J.; Taft, C.W. [University of Illinois, Urbana, IL (United States). Dept. for Engineering Science & Mechanics
2008-07-15T23:59:59.000Z
Multi-input-multi-output robust controllers recently designed for the megawatt output/throttle pressure control in a coal-fired power plant boiler/turbine unit have demonstrated performance robustness noticeably superior to that of the currently employed nonlinear PID-based controller. These controllers, however, have been designed only for the range of 150-185 MW around the 185 MW nominal operating point, exhibiting a significant loss of performance in the lower range of 120-150 MW. Through system identification, the reason for this performance loss is demonstrated in the current work to be a pronounced dependence of the boiler/turbine unit steady state gains on the operating point. This problem is addressed via a hybrid control law consisting of two robust controllers and a robust switch between them activated by the set point change. The controllers are designed to cover the corresponding half-ranges of the full operating range. This permits attainment of the desired overall performance as well as reduction of modeling uncertainty induced by the operating point change to approximately 25% of that associated with the previous designs. Robust switching is accomplished through a novel hybrid mode of behavior-robustly controlled discrete transition.
A robust and efficient approach to detect 3D rectal tubes from CT colonography
Yang Xiaoyun; Slabaugh, Greg [Medicsight PLC, Kensington Centre, 66 Hammersmith Road, London (United Kingdom)
2011-11-15T23:59:59.000Z
Purpose: The rectal tube (RT) is a common source of false positives (FPs) in computer-aided detection (CAD) systems for CT colonography. A robust and efficient detection of RT can improve CAD performance by eliminating such ''obvious'' FPs and increase radiologists' confidence in CAD. Methods: In this paper, we present a novel and robust bottom-up approach to detect the RT. Probabilistic models, trained using kernel density estimation on simple low-level features, are employed to rank and select the most likely RT tube candidate on each axial slice. Then, a shape model, robustly estimated using random sample consensus (RANSAC), infers the global RT path from the selected local detections. Subimages around the RT path are projected into a subspace formed from training subimages of the RT. A quadratic discriminant analysis (QDA) provides a classification of a subimage as RT or non-RT based on the projection. Finally, a bottom-top clustering method is proposed to merge the classification predictions together to locate the tip position of the RT. Results: Our method is validated using a diverse database, including data from five hospitals. On a testing data with 21 patients (42 volumes), 99.5% of annotated RT paths have been successfully detected. Evaluated with CAD, 98.4% of FPs caused by the RT have been detected and removed without any loss of sensitivity. Conclusions: The proposed method demonstrates a high detection rate of the RT path, and when tested in a CAD system, reduces FPs caused by the RT without the loss of sensitivity.
Nonlinear Robust Tracking Control of a Quadrotor UAV on SE(3)
Lee, Taeyoung; McClamroch, N Harris
2011-01-01T23:59:59.000Z
This paper provides nonlinear tracking control systems for a quadrotor unmanned aerial vehicle (UAV) that are robust to bounded uncertainties. A mathematical model of a quadrotor UAV is defined on the special Euclidean group, and nonlinear output-tracking controllers are developed to follow (1) an attitude command, and (2) a position command for the vehicle center of mass. The controlled system has the desirable properties that the tracking errors are uniformly ultimately bounded, and the size of the ultimate bound can be arbitrarily reduced by control system parameters. Numerical examples illustrating complex maneuvers are provided.
Bret, A. [ETSI Industriales, Universidad de Castilla-La Mancha, 13071 Ciudad Real, Spain and Instituto de Investigaciones Energticas y Aplicaciones Industriales, Campus Universitario de Ciudad Real, 13071 Ciudad Real (Spain)] [ETSI Industriales, Universidad de Castilla-La Mancha, 13071 Ciudad Real, Spain and Instituto de Investigaciones Energticas y Aplicaciones Industriales, Campus Universitario de Ciudad Real, 13071 Ciudad Real (Spain)
2013-10-15T23:59:59.000Z
The filamentation instability triggered when two counter streaming plasma shells overlap appears to be the main mechanism by which collisionless shocks are generated. It has been known for long that a flow aligned magnetic field can completely suppress this instability. In a recent paper [Phys. Plasmas 18, 080706 (2011)], it was demonstrated in two dimensions that for the case of two cold, symmetric, relativistically colliding shells, such cancellation cannot occur if the field is not perfectly aligned. Here, this result is extended to the case of two asymmetric shells. The filamentation instability appears therefore as an increasingly robust mechanism to generate shocks.
The fixed structurally robust internal model principle for linear multivariable regulators
McGrath, John Thomas
2012-06-07T23:59:59.000Z
)]~ = 0 where all the poles must be within C . The property described by (6) is defined as loop stability, Note that loop s . ability does not guarantee internal stability since un'table canoelle, t'ion may occur in the ce. . cede of T(s, 0, )F(s). W(s... for the degree of I'V. STER OF S"IENCE Vay 1980 Va jor Sub jec ~: Elec+r ical Engineering THE FIXED STRUCTURALLY ROBUST INTERNAL MODEL PRINCIPLE FOR LINEAR MULTIVARIABLE REGUIATORS A Thesis by JOHN THOMAS MCGRATH Aoproved as to style and content by...
A robust coordinated control scheme for HVDC transmission with parallel AC systems
To, K.W.V.; David, A.K. (Hong Kong Polytechnic (Hong Kong). Dept. of Electrical Engineering); Hammad, A.E. (N.E. Swiss Power Co., Baden (Switzerland))
1994-07-01T23:59:59.000Z
This paper introduces a practical control philosophy for HVDC transmission in parallel operation to an AC system with particular emphasis on coordination of both transient and dynamic stability. Systematic development of the control scheme on the basis of on-line identification, optimal control and rule-based bang-optimal coordination principles is presented. Verification tests of the scheme on a physical HVDC/AC system simulator show that the simple control computer algorithm is practical and robust. The controller can successfully distinguish between different system fault severities and adapts its output signals to provide maximum synchronizing torque and ensure optimal damping of power oscillations.
Multivariable Robust Control of a Simulated Hybrid Solid Oxide Fuel Cell Gas Turbine Plant
Tsai, Alex; Banta, Larry; Tucker, D.A.; Gemmen, R.S.
2008-06-01T23:59:59.000Z
This paper presents a systematic approach to the multivariable robust control of a hybrid fuel cell gas turbine plant. The hybrid configuration under investigation comprises a physical simulation of a 300kW fuel cell coupled to a 120kW auxiliary power unit single spool gas turbine. The facility provides for the testing and simulation of different fuel cell models that in turn help identify the key issues encountered in the transient operation of such systems. An empirical model of the facility consisting of a simulated fuel cell cathode volume and balance of plant components is derived via frequency response data. Through the modulation of various airflow bypass valves within the hybrid configuration, Bode plots are used to derive key input/output interactions in Transfer Function format. A multivariate system is then built from individual transfer functions, creating a matrix that serves as the nominal plant in an H-Infinity robust control algorithm. The controller’s main objective is to track and maintain hybrid operational constraints in the fuel cell’s cathode airflow, and the turbo machinery states of temperature and speed, under transient disturbances. This algorithm is then tested on a Simulink/MatLab platform for various perturbations of load and fuel cell heat effluence.
Energy-scales convergence for optimal and robust quantum transport in photosynthetic complexes
Masoud Mohseni; Alireza Shabani; Seth Lloyd; Herschel Rabitz
2011-04-25T23:59:59.000Z
Underlying physical principles for the high efficiency of excitation energy transfer in light-harvesting complexes are not fully understood. Notably, the degree of robustness of these systems for transporting energy is not known considering their realistic interactions with vibrational and radiative environments within the surrounding solvent and scaffold proteins. In this work, we employ an efficient technique to estimate energy transfer efficiency of such complex excitonic systems. We observe that the dynamics of the Fenna-Matthews-Olson (FMO) complex leads to optimal and robust energy transport due to a convergence of energy scales among all important internal and external parameters. In particular, we show that the FMO energy transfer efficiency is optimum and stable with respect to the relevant parameters of environmental interactions and Frenkel-exciton Hamiltonian including reorganization energy $\\lambda$, bath frequency cutoff $\\gamma$, temperature $T$, bath spatial correlations, initial excitations, dissipation rate, trapping rate, disorders, and dipole moments orientations. We identify the ratio of $\\lambda T/\\gamma\\*g$ as a single key parameter governing quantum transport efficiency, where g is the average excitonic energy gap.
A Robust MEMS Based Multi-Component Sensor for 3D Borehole Seismic Arrays
Paulsson Geophysical Services
2008-03-31T23:59:59.000Z
The objective of this project was to develop, prototype and test a robust multi-component sensor that combines both Fiber Optic and MEMS technology for use in a borehole seismic array. The use such FOMEMS based sensors allows a dramatic increase in the number of sensors that can be deployed simultaneously in a borehole seismic array. Therefore, denser sampling of the seismic wave field can be afforded, which in turn allows us to efficiently and adequately sample P-wave as well as S-wave for high-resolution imaging purposes. Design, packaging and integration of the multi-component sensors and deployment system will target maximum operating temperature of 350-400 F and a maximum pressure of 15000-25000 psi, thus allowing operation under conditions encountered in deep gas reservoirs. This project aimed at using existing pieces of deployment technology as well as MEMS and fiber-optic technology. A sensor design and analysis study has been carried out and a laboratory prototype of an interrogator for a robust borehole seismic array system has been assembled and validated.
, and tidal current Biogas Geothermal Photovoltaic Biomass Hydroelectric incremental generation from efficiency improvements Small hydroelectric (30 megawatts or less) Conduit hydroelectric Landfill gas Solar
FAULT TREE ANALYSIS OF KNICS RPS SOFTWARE GEE-YONG PARK1*
Jee, Eunkyoung
and Technology, 373-1 Guseong, Yuseong, Daejeon, 305-701, Republic of Korea 3 Doosan Heavy Industries-constructed nuclear power plants and also in the upgrade of existing analog-based reactor protection systems (RPSs) [1 with their corresponding setpoints and a group of coincidence processors (CPs) that generate a trip signal when a trip
Using RPS Policies to Grow the Solar Market in the United States
Wiser, Ryan H
2008-01-01T23:59:59.000Z
nine also allow solar- thermal electric to qualify, threestrong competition from solar-thermal electric facilities in
Using RPS Policies to Grow the Solar Market in the United States
Wiser, Ryan H
2008-01-01T23:59:59.000Z
and the $3 billion California Solar Initiative will ensurecome. But California is not the only market for solar in thethe global solar industry. The state of California deserves
RPS 11.2 Radiological Work Practices 3/9/95
Broader source: Energy.gov [DOE]
The objective of this surveillance is to evaluate the practices of workers performing tasks in radiological controlled areas to ensure that these practices protect the safety and health of the...
Pasadena Water & Power RPS Procurement Plan V.1 July 22, 2013 Page 2
. The Enforcement Program and this Procurement Plan incorporate the regulations established by the California Energy an intermittent resource, such as solar, or base load energy, such as geothermal or landfill gas generation are codified in the California Code of Regulations, Title 20, Division 2, Chapter 13, Sections 3200 through
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 known as "SBX1 2"). The California Renewable Energy Resource Act, Senate Bill (SBX1 2) requires interpretation of the statute, the California Energy Commission (CEC) should hold the POU in compliance
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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to: navigation, search RAPIDColoradosource History View New PagesElectron srlRFRNY Solar
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 on Delicious Rank EERE:Year in3.pdfEnergy HealthCommentsAugust 2012NEVADA SPARKSNV Energy RFP NV Energy RFP
Robustness of phase retrieval methods in x-ray phase contrast imaging: A comparison
Yan, Aimin; Wu, Xizeng; Liu, Hong [Department of Radiology, University of Alabama at Birmingham, Birmingham, Alabama 35233 (United States); Center for Bioengineering and School of Electrical and Computer Engineering, University of Oklahoma, Norman, Oklahoma 73019 (United States)
2011-09-15T23:59:59.000Z
Purpose: The robustness of the phase retrieval methods is of critical importance for limiting and reducing radiation doses involved in x-ray phase contrast imaging. This work is to compare the robustness of two phase retrieval methods by analyzing the phase maps retrieved from the experimental images of a phantom. Methods: Two phase retrieval methods were compared. One method is based on the transport of intensity equation (TIE) for phase contrast projections, and the TIE-based method is the most commonly used method for phase retrieval in the literature. The other is the recently developed attenuation-partition based (AP-based) phase retrieval method. The authors applied these two methods to experimental projection images of an air-bubble wrap phantom for retrieving the phase map of the bubble wrap. The retrieved phase maps obtained by using the two methods are compared. Results: In the wrap's phase map retrieved by using the TIE-based method, no bubble is recognizable, hence, this method failed completely for phase retrieval from these bubble wrap images. Even with the help of the Tikhonov regularization, the bubbles are still hardly visible and buried in the cluttered background in the retrieved phase map. The retrieved phase values with this method are grossly erroneous. In contrast, in the wrap's phase map retrieved by using the AP-based method, the bubbles are clearly recovered. The retrieved phase values with the AP-based method are reasonably close to the estimate based on the thickness-based measurement. The authors traced these stark performance differences of the two methods to their different techniques employed to deal with the singularity problem involved in the phase retrievals. Conclusions: This comparison shows that the conventional TIE-based phase retrieval method, regardless if Tikhonov regularization is used or not, is unstable against the noise in the wrap's projection images, while the AP-based phase retrieval method is shown in these experiments to be superior to the TIE-based method for the robustness in performing the phase retrieval.
Robust parallel iterative solvers for linear and least-squares problems, Final Technical Report
Saad, Yousef
2014-01-16T23:59:59.000Z
The primary goal of this project is to study and develop robust iterative methods for solving linear systems of equations and least squares systems. The focus of the Minnesota team is on algorithms development, robustness issues, and on tests and validation of the methods on realistic problems. 1. The project begun with an investigation on how to practically update a preconditioner obtained from an ILU-type factorization, when the coefficient matrix changes. 2. We investigated strategies to improve robustness in parallel preconditioners in a specific case of a PDE with discontinuous coefficients. 3. We explored ways to adapt standard preconditioners for solving linear systems arising from the Helmholtz equation. These are often difficult linear systems to solve by iterative methods. 4. We have also worked on purely theoretical issues related to the analysis of Krylov subspace methods for linear systems. 5. We developed an effective strategy for performing ILU factorizations for the case when the matrix is highly indefinite. The strategy uses shifting in some optimal way. The method was extended to the solution of Helmholtz equations by using complex shifts, yielding very good results in many cases. 6. We addressed the difficult problem of preconditioning sparse systems of equations on GPUs. 7. A by-product of the above work is a software package consisting of an iterative solver library for GPUs based on CUDA. This was made publicly available. It was the first such library that offers complete iterative solvers for GPUs. 8. We considered another form of ILU which blends coarsening techniques from Multigrid with algebraic multilevel methods. 9. We have released a new version on our parallel solver - called pARMS [new version is version 3]. As part of this we have tested the code in complex settings - including the solution of Maxwell and Helmholtz equations and for a problem of crystal growth.10. As an application of polynomial preconditioning we considered the problem of evaluating f(A)v which arises in statistical sampling. 11. As an application to the methods we developed, we tackled the problem of computing the diagonal of the inverse of a matrix. This arises in statistical applications as well as in many applications in physics. We explored probing methods as well as domain-decomposition type methods. 12. A collaboration with researchers from Toulouse, France, considered the important problem of computing the Schur complement in a domain-decomposition approach. 13. We explored new ways of preconditioning linear systems, based on low-rank approximations.
Pfister, A.; Goossen, C.; Coogler, K.; Gorgemans, J. [Westinghouse Electric Company LLC, 1000 Westinghouse Drive, Cranberry Township, PA 16066 (United States)
2012-07-01T23:59:59.000Z
Both the International Atomic Energy Agency (IAEA) and the U.S. Nuclear Regulatory Commission (NRC) require existing and new nuclear power plants to conduct plant assessments to demonstrate the unit's ability to withstand external hazards. The events that occurred at the Fukushima-Dai-ichi nuclear power station demonstrated the importance of designing a nuclear power plant with the ability to protect the plant against extreme external hazards. The innovative design of the AP1000{sup R} nuclear power plant provides unparalleled protection against catastrophic external events which can lead to extensive infrastructure damage and place the plant in an extended abnormal situation. The AP1000 plant is an 1100-MWe pressurized water reactor with passive safety features and extensive plant simplifications that enhance construction, operation, maintenance and safety. The plant's compact safety related footprint and protection provided by its robust nuclear island structures prevent significant damage to systems, structures, and components required to safely shutdown the plant and maintain core and spent fuel pool cooling and containment integrity following extreme external events. The AP1000 nuclear power plant has been extensively analyzed and reviewed to demonstrate that it's nuclear island design and plant layout provide protection against both design basis and extreme beyond design basis external hazards such as extreme seismic events, external flooding that exceeds the maximum probable flood limit, and malicious aircraft impact. The AP1000 nuclear power plant uses fail safe passive features to mitigate design basis accidents. The passive safety systems are designed to function without safety-grade support systems (such as AC power, component cooling water, service water, compressed air or HVAC). The plant has been designed to protect systems, structures, and components critical to placing the reactor in a safe shutdown condition within the steel containment vessel which is further surrounded by a substantial 'steel concrete' composite shield building. The containment vessel is not affected by external flooding, and the shield building design provides hazard protection beyond that provided by a comparable reinforced concrete structure. The intent of this paper is to demonstrate the robustness of the AP1000 design against extreme events. The paper will focus on the plants ability to withstand extreme external events such as beyond design basis flooding, seismic events, and malicious aircraft impact. The paper will highlight the robustness of the AP1000 nuclear island design including the protection provided by the unique AP1000 composite shield building. (authors)
Phonon-assisted robust and deterministic two-photon biexciton preparation in a quantum dot
S. Bounouar; M. Müller; A. M. Barth; M. Glässl; V. M. Axt; P. Michler
2014-08-29T23:59:59.000Z
We investigate both experimentally and theoretically a simple yet more robust and flexible alternative to Rabi oscillation-type biexciton preparation protocols traditionally used for semiconductor quantum dots. The quantum dot is excited by a strong laser pulse positively detuned from the two-photon resonance yielding an on demand initialization of the biexciton state by making use of the phonon-induced thermalization of the photon dressed states. It is shown that for excitation pulses in the picosecond range, a stable and high fidelity of up to $f_{XX}=0.98\\pm 0.01$ is reached. Notably, the generated photons show similar coherence properties as measured in the resonant two-photon scheme. This protocol is a powerful tool for the control of complex solid state systems combining radiative cascades, entanglement and resonant cavity modes.
Robust circularly polarized few-optical-cycle solitons in Kerr media
Leblond, Herve; Sanchez, Francois [Laboratoire de Photonique d'Angers, EA 4464, Universite d'Angers, 2 Bd. Lavoisier, FR-49045 Angers Cedex 01 (France); Triki, Houria [Radiation Physics Laboratory, Department of Physics, Faculty of Sciences, Badji Mokhtar University, P.O. Box 12, DZ-23000 Annaba (Algeria); Mihalache, Dumitru [Laboratoire de Photonique d'Angers, EA 4464, Universite d'Angers, 2 Bd. Lavoisier, FR-49045 Angers Cedex 01 (France); Horia Hulubei National Institute for Physics and Nuclear Engineering (IFIN-HH), 407 Atomistilor, Magurele-Bucharest, RO-077125 (Romania); Academy of Romanian Scientists, 54 Splaiul Independentei, Bucharest RO-050094 (Romania)
2011-06-15T23:59:59.000Z
We consider the propagation of circularly polarized few-cycle pulses (FCPs) in Kerr media beyond the slowly varying envelope approximation. Assuming that the frequency of the transition is far above the characteristic wave frequency (long-wave-approximation regime), we show that propagation of FCPs, taking into account the wave polarization, is described by the nonintegrable complex modified Korteweg-de Vries (cmKdV) equation. By direct numerical simulations, we get robust localized solutions to the cmKdV equation, which describe circularly polarized few-cycle-optical solitons and strongly differ from the breather soliton of the modified Korteweg-de Vries equation, which represents linearly polarized FCP solitons. The circularly polarized FCP soliton becomes unstable when the angular frequency is less than 1.5 times the inverse of the pulse length. The unstable subcycle pulses decay into linearly polarized half-cycle pulses, the polarization direction of which slowly rotates around the propagation axis.
Dispersive representation and shape of the K{sub l3} form factors: Robustness
Bernard, Veronique; Stern, Jan [Groupe de Physique Theorique, Institut de Physique Nucleaire, CNRS/Universite de Paris 11, F-91406 Orsay (France); Oertel, Micaela [Laboratoire Univers et Theories, Observatoire de Paris, CNRS, Universite Paris Diderot, 5 place Jules Janssen, 92195 Meudon (France); Passemar, Emilie [Institute for Theoretical Physics, University of Bern, Sidlerstrasse 5, CH-3012 Bern (Switzerland)
2009-08-01T23:59:59.000Z
An accurate low-energy dispersive parametrization of the scalar K{pi} form factor was constructed some time ago in terms of a single parameter guided by the Callan-Treiman low-energy theorem. A similar twice-subtracted dispersive parametrization for the vector K{pi} form factor will be investigated here. The robustness of the parametrization of these two form factors will be studied in great detail. In particular the cutoff dependence, the isospin breaking effects, and the possible, though not highly probable, presence of zeros in the form factors will be discussed. Interesting constraints in the latter case will be obtained from the soft-kaon analog of the Callan-Treiman theorem and a comparison with the recent {tau}{yields}K{pi}{nu}{sub {tau}} data.
Robust Timing Synchronization for AC-OFDM Based Optical Wireless Communications
Ranjha, Bilal A; Kavehrad, Mohsen; Deng, Peng
2015-01-01T23:59:59.000Z
Visible light communications (VLC) have recently attracted a growing interest and can be a potential solution to realize indoor wireless communication with high bandwidth capacity for RF-restricted environments such as airplanes and hospitals. Optical based orthogonal frequency division multiplexing (OFDM) systems have been proposed in the literature to combat multipath distortion and intersymbol interference (ISI) caused by multipath signal propagation. In this paper, we present a robust timing synchronization scheme suitable for asymmetrically clipped (AC) OFDM based optical intensity modulated direct detection (IM/DD) wireless systems. Our proposed method works perfectly for ACO-OFDM, Pulse amplitude modulated discrete multitone (PAM-DMT) and discrete Hartley transform (DHT) based optical OFDM systems. In contrast to existing OFDM timing synchronization methods which are either not suitable for AC OFDM techniques due to unipolar nature of output signal or perform poorly, our proposed method is suitable for...
Robust random number generation using steady-state emission of gain-switched laser diodes
Yuan, Z. L., E-mail: zhiliang.yuan@crl.toshiba.co.uk; Lucamarini, M.; Dynes, J. F.; Fröhlich, B.; Plews, A.; Shields, A. J. [Toshiba Research Europe Limited, Cambridge Research Laboratory, 208 Cambridge Science Park, Milton Road, Cambridge CB4 0GZ (United Kingdom)
2014-06-30T23:59:59.000Z
We demonstrate robust, high-speed random number generation using interference of the steady-state emission of guaranteed random phases, obtained through gain-switching a semiconductor laser diode. Steady-state emission tolerates large temporal pulse misalignments and therefore significantly improves the interference quality. Using an 8-bit digitizer followed by a finite-impulse-response unbiasing algorithm, we achieve random number generation rates of 8 and 20?Gb/s, for laser repetition rates of 1 and 2.5?GHz, respectively, with a ±20% tolerance in the interferometer differential delay. We also report a generation rate of 80?Gb/s using partially phase-correlated short pulses. In relation to the field of quantum key distribution, our results confirm the gain-switched laser diode as a suitable light source, capable of providing phase-randomized coherent pulses at a clock rate of up to 2.5?GHz.
M. Dominik
1998-04-06T23:59:59.000Z
To determine the magnification of an extended source caused by gravitational lensing one has to perform a two-dimensional integral over point-source magnifications in general. Since the point-source magnification jumps to an infinite value on caustics, special care is required. For a uniformly bright source, it has been shown earlier that the calculation simplifies if one determines the magnification from the area of the images of the extended source by applying Green's theorem so that one ends up with a one-dimensional integration over the image boundaries. This approach is discussed here in detail, and it is shown that it can be used to yield a robust and efficient method also for limb-darkened sources. It is also shown that the centroid shift can be calculated in a similar way.
Robust, multidimensional mesh-motion based on Monge-Kantorovich equidistribution
Chacon De La Rosa, Luis [ORNL; Delzanno, Gian Luca [Los Alamos National Laboratory (LANL); Finn, John M. [Los Alamos National Laboratory (LANL)
2011-01-01T23:59:59.000Z
Mesh-motion (r-refinement) grid adaptivity schemes are attractive due to their potential to minimize the numerical error for a prescribed number of degrees of freedom. However, a key roadblock to a widespread deployment of this class of techniques has been the formulation of robust, reliable mesh-motion governing principles, which (1) guarantee a solution in multiple dimensions (2D and 3D), (2) avoid grid tangling (or folding of the mesh, whereby edges of a grid cell cross somewhere in the domain), and (3) can be solved effectively and efficiently. In this study, we formulate such a mesh-motion governing principle, based on volume equidistribution via Monge-Kantorovich optimization (MK). In earlier publications [1,2], the advantages of this approach with regard to these points have been demonstrated for the time-independent case. In this study, we demonstrate that Monge-Kantorovich equidistribution can in fact be used effectively in a time-stepping context, and delivers an elegant solution to the otherwise pervasive problem of grid tangling in mesh-motion approaches, without resorting to ad hoc time-dependent terms (as in moving-mesh PDEs, or MMPDEs [3,4]). We explore two distinct r-refinement implementations of MK: the direct method, where the current mesh relates to an initial, unchanging mesh, and the sequential method, where the current mesh is related to the previous one in time. We demonstrate that the direct approach is superior with regard to mesh distortion and robustness. The properties of the approach are illustrated with a hyperbolic PDE, the advection of a passive scalar, in 20 and 3D. Velocity flow fields with and without flow shear are considered. Three-dimensional grid, time-step, and nonlinear tolerance convergence studies are presented which demonstrate the optimality of the approach.
Multivariable Robust Control of a Simulated Hybrid Solid Oxide Fuel Cell Gas Turbine Plant
Tsai A, Banta L, Tucker D
2010-08-01T23:59:59.000Z
This work presents a systematic approach to the multivariable robust control of a hybrid fuel cell gas turbine plant. The hybrid configuration under investigation built by the National Energy Technology Laboratory comprises a physical simulation of a 300kW fuel cell coupled to a 120kW auxiliary power unit single spool gas turbine. The public facility provides for the testing and simulation of different fuel cell models that in turn help identify the key difficulties encountered in the transient operation of such systems. An empirical model of the built facility comprising a simulated fuel cell cathode volume and balance of plant components is derived via frequency response data. Through the modulation of various airflow bypass valves within the hybrid configuration, Bode plots are used to derive key input/output interactions in transfer function format. A multivariate system is then built from individual transfer functions, creating a matrix that serves as the nominal plant in an H{sub {infinity}} robust control algorithm. The controller’s main objective is to track and maintain hybrid operational constraints in the fuel cell’s cathode airflow, and the turbo machinery states of temperature and speed, under transient disturbances. This algorithm is then tested on a Simulink/MatLab platform for various perturbations of load and fuel cell heat effluence. As a complementary tool to the aforementioned empirical plant, a nonlinear analytical model faithful to the existing process and instrumentation arrangement is evaluated and designed in the Simulink environment. This parallel task intends to serve as a building block to scalable hybrid configurations that might require a more detailed nonlinear representation for a wide variety of controller schemes and hardware implementations.
On the robustness of H-deficient post-AGB tracks
M. M. Miller Bertolami; L. G. Althaus
2007-06-05T23:59:59.000Z
We analyze the robustness of H--deficient post--AGB tracks regarding previous evolution of their progenitor stars and the constitutive physics of the remnants. Our motivation is a recent suggestion of Werner & Herwig (2006) that previous evolution should be important in shaping the final post--AGB track and the persisting discrepancy between asteroseismological and spectroscopical mass determinations. This work is thus complementary to our previous work (Miller Bertolami & Althaus 2006) and intends to shed some light on the uncertainty behind the evolutionary tracks presented there. We compute full evolutionary models for PG1159 stars taking into account different extramixing (overshooting) efficiencies and lifetimes on the TP-AGB during the progenitor evolution. We also assess the effect of possible differences in the opacities and equation of state by artificially changing them before the PG1159 stage. Also comparisons are made with the few H-deficient post--AGB tracks available in the literature. Contrary to our expectations, we found that previous evolution is not a main factor in shaping H--deficient post--AGB tracks. Interestingly enough, we find that only an increase of $\\sim50%$ in the intershell opacities at high effective temperatures may affect the tracks as to reconcile spectroscopic and asteroseismologic mass determinations. This forces us to conclude that our previous tracks (Miller Bertolami & Althaus 2006) are robust enough as to be used for spectroscopic mass determinations, unless opacities in the intershell region are substantially different. Our results, then, call for an analysis of possible systematics in the usually adopted asteroseismological mass determination methods.
Effect of Wind Intermittency on the Electric Grid: Mitigating the Risk of Energy Deficits
George, Sam O; Nguyen, Scott V
2010-01-01T23:59:59.000Z
Successful implementation of California's Renewable Portfolio Standard (RPS) mandating 33 percent renewable energy generation by 2020 requires inclusion of a robust strategy to mitigate increased risk of energy deficits (blackouts) due to short time-scale (sub 1 hour) intermittencies in renewable energy sources. Of these RPS sources, wind energy has the fastest growth rate--over 25% year-over-year. If these growth trends continue, wind energy could make up 15 percent of California's energy portfolio by 2016 (wRPS15). However, the hour-to-hour variations in wind energy (speed) will create large hourly energy deficits that require installation of other, more predictable, compensation generation capacity and infrastructure. Compensating for the energy deficits of wRPS15 could potentially cost tens of billions in additional dollar-expenditure for fossil and / or nuclear generation capacity. There is a real possibility that carbon dioxide and other greenhouse gas (GHG) emission reductions will miss the California ...
Hespanha, JoÃ£o Pedro
Robust UAV Coordination for Target Tracking using Output-Feedback Model Predictive Control consider the control of two UAVs tracking an evasive moving ground vehicle. The UAVs are small fixed to maintain visibility. The control inputs to the UAVs are computed based on noisy measurements of the UAVs
Firestone, Jeremy
Calculating the offshore wind power resource: Robust assessment methods applied to the U 2011 Available online xxx Keywords: Wind power Offshore wind power Resource assessment Marine spatial of an offshore area. The method uses publicly available oceanic, environmental and socio-economic data
Yao, Bin
Robust Control of Hydraulic Manipulators With Accurate Parameter Estimates Amit Mohanty, Student Member. In this paper, we consider the trajectory tracking of a robotic manipulator driven by electro-hydraulic actu of the hydraulic system. The online parameter estimates are obtained through a parameter adaptation algorithm
Paris-Sud XI, UniversitÃ© de
of applications such as the automotive one requires a strong ESD robustness (4- to 10-kV HBM), i.e., ESD currents 10.1109/TDMR.2006.881483 the automotive application). Since about a decade, TCAD tools have been local temperatures: 1683 K [4] for silicon or 933 K [4] and 1356 K [4] for aluminum and copper
Zukerman, Moshe
Neuron PID: A Robust AQM Scheme Jinsheng Sun, Sammy Chan, King-Tim Ko, Guanrong Chen and Moshe active queue management (AQM) scheme based on a Proportional-Integral- Derivative (PID) controller, called Neuron PID, that uses an adaptive neuron to tune its parameters. We demonstrate by simulations
Giannakis, Georgios
944 IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, VOL. 4, NO. 4, OCTOBER 2013 Robust Energy Management of distributed storage (DS) units, and their index. Number of power production facilities with renewable energy to failures, distributed energy management is of para- mount importance in smart grids, especially
Boyer, Edmond
1 Graphene-based textured surface by pulsed laser deposition as a robust platform for surface scattering (SERS)-active substrate based on gold nanoparticles-decorated few-layer (fl) graphene grown by pulsed laser deposition. Diamond-Like Carbon film has been converted to fl-graphene after thermal
Grujicic, Mica
Development of a Robust and Cost-Effective Friction Stir Welding Process for Use in Advanced potential). Unfortu- nately, these alloys are not very amenable to conventional fusion-based welding technologies and in-order to obtain high-quality welds, solid-state joining technologies such as Friction stir
A NOVEL APPROACH TO SOFT-MASK ESTIMATION AND LOG-SPECTRAL ENHANCEMENT FOR ROBUST SPEECH RECOGNITION
Alwan, Abeer
A NOVEL APPROACH TO SOFT-MASK ESTIMATION AND LOG-SPECTRAL ENHANCEMENT FOR ROBUST SPEECH RECOGNITION-- Speech Recognition, Feature Extraction, Speech Enhancement, Mask Estimation, Median Filtering. 1 enhancement. Reliable SPPs provide clues about the spectro-temporal location of speech and are thus a highly
Pota, Himanshu Roy
-slip relationships as well as through simulations. The wind generator is a highly nonlinear system, which is modelled power generation. This type of wind generator always consumes reactive power from the grid. WhenRobust STATCOM Control for the Enhancement of Fault Ride-Through Capability of Fixed Speed Wind
Alippi, Cesare
IEEE SENSORS JOURNAL, VOL. 11, NO. 1, JANUARY 2011 45 A Robust, Adaptive, Solar-Powered WSN-step local transmission from sensor nodes to the gateway, a remote data transmission from the gateway carefully selected or de- signed to guarantee a high quality of service, optimal solar energy harvesting
Qu, Zhihua
manufacturing and process automation. Robust and adaptive control is designed to damp out trans- verse of Electrical Engineering and Computer Sci- ence, University of Central Florida, Orlando, FL 32816 USA (e continuous time flexible systems. For example, strings have been used for modeling telephone wires, cables
Stephens, Britton B.
An Autonomous, Inexpensive, and Robust CO2 Analyzer (AIRCOA) Panel 3. Near real-time data viewing Studies, Boulder, Colorado, USA Overview: We present our design of a new autonomous, inexpensive, and are designed to run autonomously for months at a time. We are working closely with other investigators
Hod, Oded
Robust Superlubricity in Graphene/hBN Heterojunctions Itai Leven, Dana Krepel, Ortal Shemesh: The sliding energy landscape of the heterogeneous graphene/h- BN interface is studied by means of the registry index. For a graphene flake sliding on top of h-BN, the anisotropy of the sliding energy corrugation
DFIG-Based Wind Turbine Robust Control Using High-Order Sliding Modes and a High Gain Observer
Brest, UniversitÃ© de
DFIG-Based Wind Turbine Robust Control Using High-Order Sliding Modes and a High Gain Observer with the power generation control in variable speed wind turbines. In this context, a control strategy is proposed to ensure power extraction optimization of a DFIG- based wind turbine. The proposed control
Friedland, Lazar
scheme is proposed, based on autoresonant phase locking of the Langmuir wave to the slowly chirped beat ponderomotively on the plasma to resonantly excite a large-amplitude, high-phase-velocity plasma wave suitableRobust Autoresonant Excitation in the Plasma Beat-Wave Accelerator R. R. Lindberg,* A. E. Charman
Giannakis, Georgios
Response With Mixed-Integer Constraints Seung-Jun Kim and Georgios B. Giannakis Abstract--A demand response--Lagrange relaxation, mixed-integer programs, parallel and distributed algorithms, real-time demand response, robust of piecewise linear convex . I. INTRODUCTION DEMAND response (DR) is a key component of the smart grid, which
Kalueff, Allan V.
is robustly observed and easily quantified, with the effects of pharmacological challenges emerging almost and fluoxetine withdrawal in zebrafish. Novel Tank Exposure Test: Observers record endpoints and sessions are also video taped for automated analysis (CleverSys Inc.). Ethanol & Caffeine withdrawal: Ethanol (0
Alwan, Abeer
EVALUATION OF NOISE ROBUST FEATURES ON THE AURORA DATABASES Xiaodong Cui, Markus Iseli, Qifeng Zhu extraction al- gorithms on the Aurora 2 and the German part of Aurora 3. Sev- eral algorithms are introduced with Aurora 2, and new approaches evaluated with Aurora 3. Since there exist some differences between the two
Robust ASR front-end using spectral-based and discriminant features: experiments on the Aurora tasks
Dupont, StÃ©phane
Robust ASR front-end using spectral-based and discriminant features: experiments on the Aurora was tested on the set of speech corpora used for the "Aurora" evaluation. Using the feature stream generated and server side ASR processing, a standartization initiative called "Aurora" was initiated within European
BLIND RT60 ESTIMATION ROBUST ACROSS ROOM SIZES AND SOURCE DISTANCES Baldwin Dumortier1,2,3
Paris-Sud XI, Université de
BLIND RT60 ESTIMATION ROBUST ACROSS ROOM SIZES AND SOURCE DISTANCES Baldwin Dumortier1 be blindly es- timated from a speech or music signal. Current methods often implicitly assume sound sources. This paper features two contributions. Firstly, we propose a blind RT60 estimation method
Pinquier, Julien
- efficients are extracted and energy is computed in 40 per- ceptual channels. This energy is then filteredROBUST SPEECH / MUSIC CLASSIFICATION IN AUDIO DOCUMENTS Julien PINQUIER, Jean-Luc ROUAS and R energy. The relevance of these features is studied in a first experiment based on a development corpus
Ng, Andrew Y.
Robust textual inference via learning and abductive reasoning Rajat Raina, Andrew Y. Ng to the one used by (Harabagiu et al., 2000). An abductive theorem prover then tries to find the minimum. In this paper, we present an abductive inference algorithm to perform semantic reasoning. More precisely
Kimball, Jonathan W.
elements complicate implementation. A method for mitigating the effect of solar panel capacitance coming from the solar panel, and the state variables could be the panel voltage, current, or both consumption and greater robustness. A maximum power point tracker for a photovoltaic panel demonstrates
A Robust Method for S1/S2 Heart Sounds Detection Without ECG Reference Based on Music Beat
Plumbley, Mark
A Robust Method for S1/S2 Heart Sounds Detection Without ECG Reference Based on Music Beat Tracking), without ECG reference, based on a music beat tracking algorithm. An intermediate representation detection depending on whether or not the ECG is used as a reference (i.e. key ECG features that occur
Robust artefact detection in long-term ECG recordings based on autocorrelation function similarity in the analysis of electrocardiogram (ECG) signals. Even though methods exist to reduce the influence to sleep apnea classification. I. INTRODUCTION The diagnostic capabilities of the electrocardiogram (ECG
Paris-Sud XI, UniversitÃ© de
and greenhouse gas pollutants. In this paper, a non-square multivariable controller for the air-path systemDecentralized robust control-system for a non-square MIMO system, the air-path of a turbocharged the performance of the proposed control-system. Keywords: Diesel engine air path, Robust control, CRONE
A search model for topological insulators with high-throughput robustness descriptors
Yang, Kesong; Setyawan, Wahyu; Wang, Shidong; Nardelli, Marco B.; Curtarolo, Stephano
2012-05-13T23:59:59.000Z
Topological insulators (TI) are becoming one of the most studied classes of novel materials because of their great potential for applications ranging from spintronics to quantum computers. To fully integrate TI materials in electronic devices, high-quality epitaxial single-crystalline phases with sufficiently large bulk bandgaps are necessary. Current efforts have relied mostly on costly and time-consuming trial-and-error procedures. Here we show that by defining a reliable and accessible descriptor {cflx X}TI, which represents the topological robustness or feasibility of the candidate, and by searching the quantum materials repository aflowlib.org, we have automatically discovered 28 TIs (some of them already known) in five different symmetry families. These include peculiar ternary halides, Cs{l_brace}Sn,Pb,Ge{r_brace}{l_brace}Cl,Br,I{r_brace}{sub 3}, which could have been hardly anticipated without high-throughput means. Our search model, by relying on the significance of repositories in materials development, opens new avenues for the discovery of more TIs in different and unexplored classes of systems.
Collaborative Research: Robust Climate Projections and Stochastic Stability of Dynamical Systems
Ghil, Michael; McWilliams, James; Neelin, J. David; Zaliapin, Ilya; Chekroun, Mickael; Kondrashov, Dmitri; Simonnet, Eric
2011-10-13T23:59:59.000Z
The project was completed along the lines of the original proposal, with additional elements arising as new results were obtained. The originally proposed three thrusts were expanded to include an additional, fourth one. (i) The e#11;ffects of stochastic perturbations on climate models have been examined at the fundamental level by using the theory of deterministic and random dynamical systems, in both #12;nite and in#12;nite dimensions. (ii) The theoretical results have been implemented #12;first on a delay-diff#11;erential equation (DDE) model of the El-Nino/Southern-Oscillation (ENSO) phenomenon. (iii) More detailed, physical aspects of model robustness have been considered, as proposed, within the stripped-down ICTP-AGCM (formerly SPEEDY) climate model. This aspect of the research has been complemented by both observational and intermediate-model aspects of mid-latitude and tropical climate. (iv) An additional thrust of the research relied on new and unexpected results of (i) and involved reduced-modeling strategies and associated prediction aspects have been tested within the team's empirical model reduction (EMR) framework. Finally, more detailed, physical aspects have been considered within the stripped-down SPEEDY climate model. The results of each of these four complementary e#11;fforts are presented in the next four sections, organized by topic and by the team members concentrating on the topic under discussion.
Peter Bierhorst
2014-09-30T23:59:59.000Z
Recent experiments have reached detection efficiencies sufficient to close the detection loophole, testing the Clauser-Horne (CH) version of Bell's inequality. For a similar future experiment to be completely loophole-free, it will be important to have discrete experimental trials with randomized measurement settings for each trial, and the statistical analysis should not overlook the possibility of a local state varying over time with possible dependence on earlier trials (the "memory loophole"). In this paper, a mathematical model for such a CH experiment is presented, and a method for statistical analysis that is robust to memory effects is introduced. Additionally, a new method for calculating exact p-values for martingale-based statistics is described; previously, only non-sharp upper bounds derived from the Azuma-Hoeffding inequality have been available for such statistics. This improvement decreases the required number of experimental trials to demonstrate non-locality. The statistical techniques are applied to the data of recent experiments and found to perform well.
Optimal and Robust Transmit Designs for MISO Channel Secrecy by Semidefinite Programming
Li, Qiang
2010-01-01T23:59:59.000Z
In recent years there has been growing interest in study of multi-antenna transmit designs for providing secure communication over the physical layer. This paper considers the scenario of an intended multi-input single-output channel overheard by multiple multi-antenna eavesdroppers. Specifically, we address the transmit covariance optimization for secrecy-rate maximization (SRM) of that scenario. The challenge of this problem is that it is a nonconvex optimization problem. This paper shows that the SRM problem can actually be solved in a convex and tractable fashion, by recasting the SRM problem as a semidefinite program (SDP). The SRM problem we solve is under the premise of perfect channel state information (CSI). This paper also deals with the imperfect CSI case. We consider a worst-case robust SRM formulation under spherical CSI uncertainties, and we develop an optimal solution to it, again via SDP. Moreover, our analysis reveals that transmit beamforming is generally the optimal transmit strategy for SR...
Robust Extraction Interface for Coupling Droplet-Based and Continuous Flow Microfluidics
Sun, Xuefei; Tang, Keqi; Smith, Richard D.; Kelly, Ryan T.
2012-03-07T23:59:59.000Z
Reliable and highly efficient extraction of droplets from oil to aqueous phase is key for downstream coupling with chemical separations and nonoptical detection methods such as amperometry and mass spectrometry. This paper presents an improved interface providing robust extraction for droplet-based poly(dimethylsiloxane) (PDMS) microfluidic devices. The extraction interface consists of an array of cylindrical posts with narrow apertures in between. The aqueous flow channel into which droplets coalesced was simply and selectively modified to be hydrophilic, while the continuous oil phase flow channel that contained encapsulated aqueous droplets retained a hydrophobic surface. The different surfaces on both sides of the extraction region form a highly stable liquid interface between the two immiscible phases, allowing rapid droplet transfer to the aqueous stream. Entire droplets could be completely extracted within broad ranges of aqueous and oil flow rates (0 - 1 and 0.1 - 1 uL/min, respectively). After extraction, the droplet contents could be transported electrophoretically or by pressure-driven flow to a monolithically integrated emitter for nano-electrospray ionization mass spectrometry (nanoESI-MS) analysis. This interface should be amenable to the separation and identification of droplet contents and on-line monitoring of in-droplet reactions.
EISLER, G. RICHARD
2002-08-01T23:59:59.000Z
This report summarizes the analytical and experimental efforts for the Laboratory Directed Research and Development (LDRD) project entitled ''Robust Planning for Autonomous Navigation of Mobile Robots In Unstructured, Dynamic Environments (AutoNav)''. The project goal was to develop an algorithmic-driven, multi-spectral approach to point-to-point navigation characterized by: segmented on-board trajectory planning, self-contained operation without human support for mission duration, and the development of appropriate sensors and algorithms to navigate unattended. The project was partially successful in achieving gains in sensing, path planning, navigation, and guidance. One of three experimental platforms, the Minimalist Autonomous Testbed, used a repetitive sense-and-re-plan combination to demonstrate the majority of elements necessary for autonomous navigation. However, a critical goal for overall success in arbitrary terrain, that of developing a sensor that is able to distinguish true obstacles that need to be avoided as a function of vehicle scale, still needs substantial research to bring to fruition.
Robust test of Bell's inequality with amplified N00N states
Falk Töppel; Magdalena Stobi?ska; Gerd Leuchs
2014-04-03T23:59:59.000Z
For more than 40 years physicists have been struggling to perform an indisputable test of Bell's inequality. Although our understanding of Bell's theorem and experimental techniques to test it have improved over the years, thus far all Bell tests have suffered at least from the detection or the locality loophole. Most optical Bell tests rely on inefficient discrete-outcome measurements, often provided by photon counting detection. One possible way to close the detection loophole in optical Bell tests is to involve efficient continuous-variable measurements instead, such as homodyne detection. Here, we propose a test of the Clauser-Horne-Shimony-Holt (CHSH) inequality that applies photon counting and homodyne detection on amplified two-photon N00N states. The scheme suggested is remarkably robust against experimental imperfections and suits the limits of current technology. Our work explores the opportunities and limits of macroscopic quantum states. It may constitute an alternative platform for a loophole-free Bell test, which is also important for quantum-technological applications.
Zhang, Jianbao [School of Science, Hangzhou Dianzi University, Hangzhou 310018 (China)] [School of Science, Hangzhou Dianzi University, Hangzhou 310018 (China); Ma, Zhongjun, E-mail: mzj1234402@163.com [School of Mathematics and Computing Science, Guilin University of Electronic Technology, Guilin 541004 (China)] [School of Mathematics and Computing Science, Guilin University of Electronic Technology, Guilin 541004 (China); Chen, Guanrong [Department of Electronic Engineering, City University of Hong Kong, Kowloon, Hong Kong (China)] [Department of Electronic Engineering, City University of Hong Kong, Kowloon, Hong Kong (China)
2014-06-15T23:59:59.000Z
All edges in the classical Watts and Strogatz's small-world network model are unweighted and cooperative (positive). By introducing competitive (negative) inter-cluster edges and assigning edge weights to mimic more realistic networks, this paper develops a modified model which possesses co-competitive weighted couplings and cluster structures while maintaining the common small-world network properties of small average shortest path lengths and large clustering coefficients. Based on theoretical analysis, it is proved that the new model with inter-cluster co-competition balance has an important dynamical property of robust cluster synchronous pattern formation. More precisely, clusters will neither merge nor split regardless of adding or deleting nodes and edges, under the condition of inter-cluster co-competition balance. Numerical simulations demonstrate the robustness of the model against the increase of the coupling strength and several topological variations.
Younkin, James R [ORNL; Rowe, Nathan C [ORNL; Garner, James R [ORNL
2012-01-01T23:59:59.000Z
An online enrichment monitor (OLEM) is being developed to continuously measure the relative isotopic composition of UF6 in the unit header pipes of a gas centrifuge enrichment plant (GCEP). From a safeguards perspective, OLEM will provide early detection of a facility being misused for production of highly enriched uranium. OLEM may also reduce the number of samples collected for destructive assay and if coupled with load cell monitoring can provide isotope mass balance verification. The OLEM design includes power and network connections for continuous monitoring of the UF6 enrichment and state of health of the instrument. Monitoring the enrichment on all header pipes at a typical GCEP could require OLEM detectors on each of the product, tails, and feed header pipes. If there are eight process units, up to 24 detectors may be required at a modern GCEP. Distant locations, harsh industrial environments, and safeguards continuity of knowledge requirements all place certain demands on the network robustness and power reliability. This paper describes the infrastructure and architecture of an OLEM system based on OLEM collection nodes on the unit header pipes and power and network support nodes for groupings of the collection nodes. A redundant, self-healing communications network, distributed backup power, and a secure communications methodology. Two candidate technologies being considered for secure communications are the Object Linking and Embedding for Process Control Unified Architecture cross-platform, service-oriented architecture model for process control communications and the emerging IAEA Real-time And INtegrated STream-Oriented Remote Monitoring (RAINSTORM) framework to provide the common secure communication infrastructure for remote, unattended monitoring systems. The proposed infrastructure design offers modular, commercial components, plug-and-play extensibility for GCEP deployments, and is intended to meet the guidelines and requirements for unattended and remotely monitored safeguards systems.
Farhan Feroz; M. P. Hobson
2007-07-23T23:59:59.000Z
In performing a Bayesian analysis of astronomical data, two difficult problems often emerge. First, in estimating the parameters of some model for the data, the resulting posterior distribution may be multimodal or exhibit pronounced (curving) degeneracies, which can cause problems for traditional MCMC sampling methods. Second, in selecting between a set of competing models, calculation of the Bayesian evidence for each model is computationally expensive. The nested sampling method introduced by Skilling (2004), has greatly reduced the computational expense of calculating evidences and also produces posterior inferences as a by-product. This method has been applied successfully in cosmological applications by Mukherjee et al. (2006), but their implementation was efficient only for unimodal distributions without pronounced degeneracies. Shaw et al. (2007), recently introduced a clustered nested sampling method which is significantly more efficient in sampling from multimodal posteriors and also determines the expectation and variance of the final evidence from a single run of the algorithm, hence providing a further increase in efficiency. In this paper, we build on the work of Shaw et al. and present three new methods for sampling and evidence evaluation from distributions that may contain multiple modes and significant degeneracies; we also present an even more efficient technique for estimating the uncertainty on the evaluated evidence. These methods lead to a further substantial improvement in sampling efficiency and robustness, and are applied to toy problems to demonstrate the accuracy and economy of the evidence calculation and parameter estimation. Finally, we discuss the use of these methods in performing Bayesian object detection in astronomical datasets.
A Robust Power Remote Manipulator for Use in Waste Sorting, Processing, and Packaging - 12158
Cole, Matt; Martin, Scott [S.A. Technology, Loveland, Colorado 80537, Transuranic Waste Processing Center, Lenoir City, TN 37771 (United States)
2012-07-01T23:59:59.000Z
Disposition of radioactive waste is one of the Department of Energy's (DOE's) highest priorities. A critical component of the waste disposition strategy is shipment of Transuranic (TRU) waste from DOE's Oak Ridge Reservation to the Waste Isolation Plant Project (WIPP) in Carlsbad, New Mexico. This is the mission of the DOE TRU Waste Processing Center (TWPC). The remote-handled TRU waste at the Oak Ridge Reservation is currently in a mixed waste form that must be repackaged in to meet WIPP Waste Acceptance Criteria (WAC). Because this remote-handled legacy waste is very diverse, sorting, size reducing, and packaging will require equipment flexibility and strength that is not possible with standard master-slave manipulators. To perform the wide range of tasks necessary with such diverse, highly contaminated material, TWPC worked with S.A. Technology (SAT) to modify SAT's Power Remote Manipulator (PRM) technology to provide the processing center with an added degree of dexterity and high load handling capability inside its shielded cells. TWPC and SAT incorporated innovative technologies into the PRM design to better suit the operations required at TWPC, and to increase the overall capability of the PRM system. Improving on an already proven PRM system will ensure that TWPC gains the capabilities necessary to efficiently complete its TRU waste disposition mission. The collaborative effort between TWPC and S.A. Technology has yielded an extremely capable and robust solution to perform the wide range of tasks necessary to repackage TRU waste containers at TWPC. Incorporating innovative technologies into a proven manipulator system, these PRMs are expected to be an important addition to the capabilities available to shielded cell operators. The PRMs provide operators with the ability to reach anywhere in the cell, lift heavy objects, perform size reduction associated with the disposition of noncompliant waste. Factory acceptance testing of the TWPC Powered Remote Manipulators has completed at SAT's Colorado facility, and on-site training at TWPC is scheduled to start in early 2012. (authors)
Miguel D. Bustamante; Brenda Quinn
2013-09-02T23:59:59.000Z
A robust energy transfer mechanism is found in nonlinear wave systems, which favours transfers towards modes interacting via non-resonant triads, applicable in meteorology, nonlinear optics and plasma wave turbulence. Transfer efficiency is maximal when the frequency mismatch of the non-resonant triad balances the system's nonlinear frequency: at intermediate levels of oscillation amplitudes an instability is triggered that explores unstable manifolds of periodic orbits, so turbulent cascades are most efficient at intermediate nonlinearity. Numerical simulations confirm analytical predictions.
Humberto E. Garcia
2014-07-01T23:59:59.000Z
This paper illustrates safeguards benefits that process monitoring (PM) can have as a diversion deterrent and as a complementary safeguards measure to nuclear material accountancy (NMA). In order to infer the possible existence of proliferation-driven activities, the objective of NMA-based methods is often to statistically evaluate materials unaccounted for (MUF) computed by solving a given mass balance equation related to a material balance area (MBA) at every material balance period (MBP), a particular objective for a PM-based approach may be to statistically infer and evaluate anomalies unaccounted for (AUF) that may have occurred within a MBP. Although possibly being indicative of proliferation-driven activities, the detection and tracking of anomaly patterns is not trivial because some executed events may be unobservable or unreliably observed as others. The proposed similarity between NMA- and PM-based approaches is important as performance metrics utilized for evaluating NMA-based methods, such as detection probability (DP) and false alarm probability (FAP), can also be applied for assessing PM-based safeguards solutions. To this end, AUF count estimates can be translated into significant quantity (SQ) equivalents that may have been diverted within a given MBP. A diversion alarm is reported if this mass estimate is greater than or equal to the selected value for alarm level (AL), appropriately chosen to optimize DP and FAP based on the particular characteristics of the monitored MBA, the sensors utilized, and the data processing method employed for integrating and analyzing collected measurements. To illustrate the application of the proposed PM approach, a protracted diversion of Pu in a waste stream was selected based on incomplete fuel dissolution in a dissolver unit operation, as this diversion scenario is considered to be problematic for detection using NMA-based methods alone. Results demonstrate benefits of conducting PM under a system-centric strategy that utilizes data collected from a system of sensors and that effectively exploits known characterizations of sensors and facility operations in order to significantly improve anomaly detection, reduce false alarm, and enhance assessment robustness under unreliable partial sensor information.
Countiss, S. S.; Basabilvazo, G. T.; Moody, D. C. III; Lott, S. A.; Pickerell, M.; Baca, T.; CH2M Hill; Tujague, S.; Svetlik, H.; Hannah, T.
2003-02-27T23:59:59.000Z
The Waste Isolation Pilot Plant (WIPP) has been open, receiving, and disposing of transuranic (TRU) waste since March 26, 1999. The majority of the waste has a path forward for shipment to and disposal at the WIPP, but there are about two percent (2%) or approximately 3,020 cubic meters (m{sup 3}) of the volume of TRU waste (high wattage TRU waste) that is not shippable because of gas generation limits set by the U.S. Nuclear Regulatory Commission (NRC). This waste includes plutonium-238 waste, solidified organic waste, and other high plutonium-239 wastes. Flammable gases are potentially generated during transport of TRU waste by the radiolysis of hydrogenous materials and therefore, the concentration at the end of the shipping period must be predicted. Two options are currently available to TRU waste sites for solving this problem: (1) gas generation testing on each drum, and (2) waste form modification by repackaging and/or treatment. Repackaging some of the high wattage waste may require up to 20:1 drum increase to meet the gas generation limits of less than five percent (5%) hydrogen in the inner most layer of confinement (the layer closest to the waste). (This is the limit set by the NRC.) These options increase waste handling and transportation risks and there are high costs and potential worker exposure associated with repackaging this high-wattage TRU waste. The U.S. Department of Energy (DOE)'s Carlsbad Field Office (CBFO) is pursuing a twofold approach to develop a shipping path for these wastes. They are: regulatory change and technology development. For the regulatory change, a more detailed knowledge of the high wattage waste (e.g., void volumes, gas generation potential of specific chemical constituents) may allow refinement of the current assumptions in the gas generation model for Safety Analysis Reports for Packaging for Contact-Handled (CH) TRU waste. For technology development, one of the options being pursued is the use of a robust container, the ARROW-PAK{trademark} System. (1) The ARROW-PAK{trademark} is a macroencapsulation treatment technology, developed by Boh Environmental, LLC, New Orleans, Louisiana. This technology has been designed to withstand any unexpected hydrogen deflagration (i.e. no consequence) and other benefits such as criticality control.
Felix, Larry; Farthing, William; Hoekman, S. Kent
2014-12-31T23:59:59.000Z
This project was initiated on October 1, 2010 and utilizes equipment and research supported by the Department of Energy, National Energy Technology Laboratory, under Award Number DE- FE0005349. It is also based upon previous work supported by the Department of Energy, National Energy Technology Laboratory, under Award Numbers DOE-DE-FG36-01GOl1082, DE-FG36-02G012011 or DE-EE0000272. The overall goal of the work performed was to demonstrate and assess the economic viability of fast hydrothermal carbonization (HTC) for transforming lignocellulosic biomass into a densified, friable fuel to gasify like coal that can be easily blended with ground coal and coal fines and then be formed into robust, weather-resistant pellets and briquettes. The specific objectives of the project include: • Demonstration of the continuous production of a uniform densified and formed feedstock from loblolly pine (a lignocellulosic, short rotation woody crop) in a hydrothermal carbonization (HTC) process development unit (PDU). • Demonstration that finely divided bituminous coal and HTC loblolly pine can be blended to form 90/10 and 70/30 weight-percent mixtures of coal and HTC biomass for further processing by pelletization and briquetting equipment to form robust weather resistant pellets and/or briquettes suitable for transportation and long term storage. • Characterization of the coal-biomass pellets and briquettes to quantify their physical properties (e.g. flow properties, homogeneity, moisture content, particle size and shape), bulk physical properties (e.g. compressibility, heat transfer and friability) and assess their suitability for use as fuels for commercially-available coal gasifiers. • Perform economic analyses using Aspen-based process simulations to determine the costs for deploying and operating HTC processing facilities for the production of robust coal/biomass fuels suitable for fueling commercially-available coal-fired gasifiers. This Final Project Scientific/Technical Report discusses and documents the project work required to meet each of these objectives.
Robust upper limit on the neutron single-particle energy of the $i_{13/2}$ orbit
Y. Lei; H. Jiang
2014-10-28T23:59:59.000Z
The boundary of the neutron $i_{13/2}$ single-particle energy is investigated with exact shell-model calculations, where random two-body interactions are adopted to overcome the bias from effective interactions. Excitation energies of $3^-_1$ state in $^{134}$Te and $^{136}$Xe, as well as those of $13/2^+_1$ states in $^{135}$Te and $^{137}$Xe, are taken as touchstones of our samplings. A robust upper limit of $\\varepsilon_{i13/2}mixing of $i_{13/2}$ single-neutron configuration and $f_{7/2}\\otimes 3^-$ configuration in $13/2^+_1$ states of $N=83$ isotones.
Ukai, Hiroyuki; Iwazumi, Tetsuo (Nagoya Inst. of Technology (Japan). Dept. of Electrical and Computer Engineering)
1994-12-01T23:59:59.000Z
The control problem of xenon-induced spatial oscillations of PWR in the axial direction during a load following operation is investigated. The system models are described by a one-group diffusion equation with xenon and temperature feed-backs, iodine and xenon dynamic equations, and heat conductions processes. Control is implemented by the full-length and the part-length control rods and the boron concentration. In order to achieve the control purpose, control models are formulated as the design problem of robust servo systems for distributed parameter reactor systems. The total thermal power and the axial offset are chosen as outputs to be controlled. The control systems consist of servo compensators and stabilizing compensators. They are designed based on the finite-dimensional systems which are constructed by linearizing around steady states, approximately by the Galerkin method, and reducing dimensions via the singular perturbation method. A new and simple computational algorithm to obtain an approximate solution of a steady-state neutron balance is developed via the perturbation method. Some results of numerical simulations are shown in order to discuss the effectiveness of the theory developed in this paper. In particular, it is shown that the designed servo systems are robust against model errors with linearization and modal truncation.
Adam Miranowicz; Sahin K. Ozdemir; Jiri Bajer; Go Yusa; Nobuyuki Imoto; Yoshiro Hirayama; Franco Nori
2014-10-09T23:59:59.000Z
We discuss methods of quantum state tomography for solid-state systems with a large nuclear spin $I=3/2$ in nanometer-scale semiconductors devices based on a quantum well. Due to quadrupolar interactions, the Zeeman levels of these nuclear-spin devices become nonequidistant, forming a controllable four-level quantum system (known as quartit or ququart). The occupation of these levels can be selectively and coherently manipulated by multiphoton transitions using the techniques of nuclear magnetic resonance (NMR) [Yusa et al., Nature (London) 434, 101 (2005)]. These methods are based on an unconventional approach to NMR, where the longitudinal magnetization $M_z$ is directly measured. This is in contrast to the standard NMR experiments and tomographic methods, where the transverse magnetization $M_{xy}$ is detected. The robustness against errors in the measured data is analyzed by using condition numbers. We propose several methods with optimized sets of rotations. The optimization is applied to decrease the number of NMR readouts and to improve the robustness against errors, as quantified by condition numbers. An example of state reconstruction, using Monte Carlo methods, is presented. Tomographic methods for quadrupolar nuclei with higher-spin numbers (including $I=7/2$) are also described.
Gao, Yang; Leung, Lai-Yung R.; Lu, Jian; Liu, Ying; Huang, Maoyi; Qian, Yun
2014-03-16T23:59:59.000Z
This study compares climate simulations over the United States produced by a regional climate model with the driving global climate simulations as well as a large multi-model ensemble of global climate simulations to investigate robust changes in water availability (precipitation (P) – evapotranspiration (E)). A robust spring dry signal across multiple models is identified in the Southwest that results from a decrease in P and an increase in E in the future. In the boreal winter and summer, the prominent changes in P – E are associated with a north – south dipole pattern, while in spring, the prominent changes in P – E appear as an east – west dipole pattern. The progression of the north – south and east – west dipole patterns through the seasons manifests clearly as a seasonal “clockwise” migration of wet/dry patterns, which is shown to be a robust feature of water availability changes in the US consistent across regional and global climate simulations.
Lee, Taeyoung
2011-01-01T23:59:59.000Z
This paper provides new results for a robust adaptive tracking control of the attitude dynamics of a rigid body. Both of the attitude dynamics and the proposed control system are globally expressed on the special orthogonal group, to avoid complexities and ambiguities associated with other attitude representations such as Euler angles or quaternions. By designing an adaptive law for the inertia matrix of a rigid body, the proposed control system can asymptotically follow an attitude command without the knowledge of the inertia matrix, and it is extended to guarantee boundedness of tracking errors in the presence of unstructured disturbances. These are illustrated by numerical examples and experiments for the attitude dynamics of a quadrotor UAV.
G. L. Celardo; P. Poli; L. Lussardi; F. Borgonovi
2014-08-20T23:59:59.000Z
We analyze a 1-d ring structure composed of many two-levels systems, in the limit where only one excitation is present. The two-levels systems are coupled to a common environment, where the excitation can be lost, which induces super and subradiant behavior. Moreover, each two-levels system is coupled to another independent environment, modeled by a classical white noise, simulating a dephasing bath and described by the Haken-Strobl master equation. Single exciton Superradiance, an example of cooperative quantum coherent effect, is destroyed at a critical dephasing strength proportional to the system size, showing robustness of cooperativity to the action of the dephasing environment. We also show that the coupling to a common decay channel contrasts the action of dephasing, driving the entanglement decay to slow down on increasing the system size. Moreover, after a projective measurement which finds the excitation in the system, the entanglement reaches a stationary value, independent of the initial conditions.