Wind Complementing RPSWind Complementing RPS Michael Schilmoeller
Page 1 Wind Complementing RPSWind Complementing RPS Michael Schilmoeller for the Power Committee 830 SCCT 0 0 170 170 170 170 170 Geothermal 0 0 0 52 104 156 169 and the larger of Wind 0 0 1200 1200 and acquisition are non- decreasing RPS requirements are met Source of "greater of wind and RPS" interpretation 10
Webinar Presentation - Energy Storage in State RPS - Dec. 19...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Presentation - Energy Storage in State RPS - Dec. 19, 2011 Webinar Presentation - Energy Storage in State RPS - Dec. 19, 2011 Dr. Imre Gyuk of the Office of Electricity Delivery...
Regional REC and RPS Best Practices
Jennifer Alvarado
2009-09-30
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).
Test study on the RPS of TMSR-SF1 reactor
Liu, Zhenbao; Liu, Guimin; Hou, Jie
2015-01-01
The reactor protection system (RPS), as a 1E-level safety system, should be designed and developed following a series of nuclear laws and technical disciplines.
Using RPS Policies to Grow the Solar Market in the United States
Wiser, Ryan H; Wiser, Ryan H.
2007-11-20
The market for photovoltaics in the United States remains small relative to the nation's solar resource potential. Nonetheless, annual grid-connected PV installations have grown from just 4 MW in 2000 to over 100 MW in 2006, fast enough to the catch the attention of the global solar industry. The state of California deserves much of the credit for this growth. The State's historical rebate programs resulted in roughly 75% of the nation's grid-connected PV additions from 2000 through 2006 being located in California, and the $3 billion California Solar Initiative will ensure that the State remains a mainstay of the US solar industry for years to come. But California is not the only market for solar in the US; other states have recently developed policies that may rival those of the western state in terms of future growth potential. In particular, 25 states, as well as Washington, D.C., have established renewables portfolio standards (RPS), sometimes called quota systems in Europe, requiring electricity suppliers in those states to source a minimum portion of their need from renewable electricity. (Because a national RPS is not yet in place, my focus here is on state policies). Under many of these state policies, solar is not expected to fare particularly well: PV installations simply cannot compete on cost or scale with large wind plants in the US, at least not yet. In response, an expanding list of states have established solar or distributed generation (DG) set-asides within their RPS policies, effectively requiring that some fraction of RPS-driven supply derive from solar energy. The popularity of set-asides for solar and/or DG has increased dramatically in recent years. Already, 11 states and D.C. have developed such RPS set-asides. These include states with outstanding solar resources, such as Nevada, Arizona, Colorado, and New Mexico, as well as areas where the solar resource is less robust, including North Carolina, Maryland, Pennsylvania, New Jersey, New York, New Hampshire, Delaware, and DC. Among those states with set-asides, two are restricted to PV applications, nine also allow solar-thermal electric to qualify, three allow solar heating and/or cooling to qualify, and three have broader renewable DG set-asides. The policies also differ in their targets and timeframes, whether projects must be located in-state, the application of cost caps, and the degree of oversight on how suppliers contract with solar projects. Only three of these states have more than two years of experience with solar or DG set-asides so far: Arizona, Nevada, and New Jersey. And yet, despite the embryonic stage of these policies, they have already begun to have a significant impact on the grid-connected PV market. From 2000-2006, 16% (or 48 MW) of grid-connected PV installations in the US occurred in states with such set-asides, a percentage that increases to 67% if one only considers PV additions outside of California. The importance of these programs is growing and will continue to expand. In fact, if one assumes (admittedly somewhat optimistically) that these policies will be fully achieved, then existing state solar or DG set-asides could result in 400 MW of solar capacity by 2010, 2,000 MW by 2015, and 6,500 MW by 2025. This equates to annual additions of roughly 100 MW through 2010, increasing to over 500 MW per year by 2015 and 700 MW per year by 2020. PV is not assured of all of this capacity, and will receive strong competition from solar-thermal electric facilities in the desert southwest. Nonetheless, set-asides in those states outside of the southwest will favor PV, and even some of the southwestern states have designed their RPS programs to ensure that PV fares well, relative to other forms of solar energy. Since 2000, Arizona and, more recently, New Jersey have represented the largest solar set-aside-driven PV markets. Even more-recent additions are coming from Colorado, Nevada, New York, and Pennsylvania. In the long-term, the largest markets for solar electricity are predicted to include New Jersey, Maryland, Arizona, and P
Implications of Scheduled ITC Reversion for RPS Compliance: Preliminary Results
Lowder, Travis; Miller, John; O'Shaughnessy, Eric; Heeter, Jenny
2015-09-14
This poster presents DRAFT initial results of a forthcoming NREL analysis. The analysis investigates the impacts of the scheduled investment tax credit (ITC) reversion from 30 percent to 10 percent for certain solar photovoltaic projects. Specifically, it considers whether the reversion will result in increased use of alternative compliance payments (ACPs) in lieu of solar renewable energy credits (SRECs) for renewable portfolio standard (RPS) compliance. The analysis models the effect of a 10 percent ITC on power purchase agreement (PPA) prices for non-residential systems in the eight states with solar carve-outs and solar ACPs. Our preliminary results suggest that states will likely install sufficient capacity to meet long-term targets through SRECs rather than ACPs following the ITC reversion. However, the analysis shows that the ITC reversion could affect project economics such that capacity shortfalls in certain states could temporarily increase the use of ACPs. NREL anticipates publishing a full report of this analysis in fall 2015. credits (SRECs) for renewable portfolio standard (RPS) compliance. The analysis models the effect of a 10 percent ITC on power purchase agreement (PPA) prices for non-residential systems in the eight states with solar carve-outs and solar ACPs. Our preliminary results suggest that states will likely install sufficient capacity to meet long-term targets through SRECs rather than ACPs following the ITC reversion. However, the analysis shows that the ITC reversion could affect project economics such that capacity shortfalls in certain states could temporarily increase the use of ACPs. NREL anticipates publishing a full report of this analysis in fall 2015.
Using RPS Policies to Grow the Solar Market in the United States
Wiser, Ryan H
2008-01-01
RPS policies to grow the solar market in the United StatesCalifornia is not the only market for solar in the US; otherthe long-term, the largest markets for solar electricity are
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.
Embodiments, visualizations, and immersion with enactive affective systems
Domingues, Diana
Our proposal in Bioart and Biomedical Engineering for a ective esthetics focuses on the expanded sensorium and investigates problems regarding enactive systems. These systems enhance the sensorial experiences and amplify ...
University of Exeter URPO & RPS Radiation Management Termly Meeting Terms of Reference
Bearhop, Stuart
the accumulation and disposal of radioactive waste. To develop, maintain and implement a RPS rotation register to radiation hazards arising from work with radioactive sources and radiation generators and from of the University's overall health and safety management system. To consider the content of the URPO annual Report
RENEWABLE ENERGY RESOURCES PROCUREMENT PLAN This Renewable Energy Resources Procurement Plan ("RPS California's electric utilities and other retail sellers to procure eligible renewable energy resources so and verify eligible renewable energy resources procured by POUs; and refer any compliance failures of POUs
Using Supercomputers to Speed Execution of the CAISO/PLEXOS 33% RPS Study
Meyers, C; Streitz, F; Yao, Y; Smith, S; Lamont, A
2011-09-19
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.
2009-03-01
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.
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:Financing Tool Fits the BillDepartmentSites KDF SocialAdministratorNSIDC Data NUCLEARNYSERDA's RPS
Observations on the Optimality Tolerance in the CAISO 33% RPS Model
Yao, Y; Meyers, C; Schmidt, A; Smith, S; Streitz, F
2011-09-22
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.
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. · Developed to streamline wetland delineation process and promote consistency between the Clean Water Act and the Food Security Act. #12;1994 National Food Security Act Manual Procedures · Provided NRCS staff policy
Enact legislation supporting residential property assessed clean energy financing (PACE)
Saha, Devashree
2012-11-15
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.
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 Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to: navigation,PropertyPartner7Website JumpHeatSourceAmtAuth6LinkAuthDtEnact
Analysis of Strategies for Multiple Emissions from Electric Power SO2, NOX, CO2, Mercury and RPS
Reports and Publications (EIA)
2001-01-01
At the request of the Subcommittee, the Energy Information Administration prepared an initial report that focused on the impacts of reducing power sector NOx, SO2, and CO2 emissions. The current report extends the earlier analysis to add the impacts of reducing power sector mercury emissions and introducing renewable portfolio standard (RPS) requirements.
Henderson, Charles
Successes and Constraints in the Enactment of a Reform May Lee*, Melissa Dancy, Charles Henderson positive impacts of research-based instructional reforms in physics, few high school physics teachers in the US enact them. One of the more successfully disseminated reforms is Modeling Instruction. To discern
Tax Credits, Rebates & Savings | Department of Energy
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
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......
Uszok, A; Bradshaw, J M; Jeffers, R; Tate, Austin; Dalton, J
In this paper we describe our experience in applying KAoS services to ensure policy compliance for Semantic Web Services workflow composition and enactment. We are developing these capabilities within the context of two ...
Rojas, James Thomas
1991-01-01
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 ...
Brown, David Benjamin, Ph. D. Massachusetts Institute of Technology
2006-01-01
This thesis develops and explores the connections between risk theory and robust optimization. Specifically, we show that there is a one-to-one correspondence between a class of risk measures known as coherent risk measures ...
Hsiao, Kaijen
2009-01-01
This thesis presents an approach for grasping objects robustly under significant positional uncertainty. In the field of robot manipulation there has been a great deal of work on how to grasp objects stably, and in the ...
Doppelhofer, Gernot; Weeks, Melvyn
2011-01-31
growth in European regions, allowing for spa- tial spillovers across regions. The robust model averaging approach can also account for spatial clustering of errors by accommodating outliers and heteroscedastic errors. In both Classical and Bayesian...
Architecting complex systems for robustness
Slagle, Jason C
2007-01-01
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
2015-01-01
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...
Unbiased Robust Template Estimation
Reuter, Martin
Unbiased Robust Template Estimation for Longitudinal Analysis in FreeSurfer Compared with cross-sectional may have a profound clinical impact. The current methods that utilize cross-sectional approaches, R. & Maguire, P. & Rosas, D. & Makris, N. & Dale, A. & Dickerson, B. & Fischl, B. (2006
Enhancing network robustness via shielding
Zhang, Jianan, S.M. Massachusetts Institute of Technology
2014-01-01
Shielding critical links enhances network robustness and provides a new way of designing robust networks. We first consider shielding critical links to guarantee network connectivity after any failure under geographical ...
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
2011-10-01
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 Optimization Submissions - 2013
Robust Optimization Submissions - 2013. January 2013. Robust Least Square Semidefinite Programming with Applications to Correlation Stress Testing
Robust Polymer Composite Membranes for Hydrogen Separation |...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Robust Polymer Composite Membranes for Hydrogen Separation Robust Polymer Composite Membranes for Hydrogen Separation polymercompositemembranes.pdf More Documents & Publications...
Robust Minimax Probability Machine Regression Robust Minimax Probability Machine Regression
Grudic, Greg
Robust Minimax Probability Machine Regression Robust Minimax Probability Machine Regression Thomas of Computer Science University of Colorado Boulder, C0 80309-0430, USA Abstract We formulate regression as maximizing the minimum probability () that the regression model is within ± of all future observations (i
Renewable Portfolio Standards in the United States - A Status Report with Data Through 2007
Wiser, Ryan
2008-01-01
New Hampshire’s RPS, enacted in May 2007, establishes a renewables target for all of the state’s electricity
Robust inversion for UXO discrimination
Oldenburg, Douglas W.
1 Robust inversion for UXO discrimination Laurens Beran, Stephen Billings, Doug Oldenburg and discrimination performance Estimating standard deviations from the data is an important step for inversion of TEM discrimination. Lin Ping Song, Len Pasion, Nicolas Lhomme #12;
Supplementary Material for Robust Regression
Supplementary Material for Robust Regression Dong Huang, Ricardo Cabral and Fernando De la Torre the solutions of the subproblems (3)-(6). #12;2 Dong Huang, Ricardo Silveira Cabral and Fernando De la Torre 1
Robustness of Controlled Quantum Dynamics
Andy Koswara; Raj Chakrabarti
2014-09-29
Control of multi-level quantum systems is sensitive to implementation errors in the control field and uncertainties associated with system Hamiltonian parameters. A small variation in the control field spectrum or the system Hamiltonian can cause an otherwise optimal field to deviate from controlling desired quantum state transitions and reaching a particular objective. An accurate analysis of robustness is thus essential in understanding and achieving model-based quantum control, such as in control of chemical reactions based on ab initio or experimental estimates of the molecular Hamiltonian. In this paper, theoretical foundations for quantum control robustness analysis are presented from both a distributional perspective - in terms of moments of the transition amplitude, interferences, and transition probability - and a worst-case perspective. Based on this theory, analytical expressions and a computationally efficient method for determining the robustness of coherently controlled quantum dynamics are derived. The robustness analysis reveals that there generally exists a set of control pathways that are more resistant to destructive interferences in the presence of control field and system parameter uncertainty. These robust pathways interfere and combine to yield a relatively accurate transition amplitude and high transition probability when uncertainty is present.
Not Available
1994-09-01
This report is a summary of an analysis of recently enacted national energy legislation and the Clean Air Act Amendments of 1990 as related to Decontamination and Decommissioning (D&D) at Federal, State and private facilities. It is submitted pursuant to Appendix A of subcontract 9-X62-0785E-1, dated July 27, 1992, between the Regents of the University of California and Van Ness, Feldman & Curtis.
Robust Cost Colorings Takuro Fukunaga
Halldórsson, Magnús M.
Robust Cost Colorings Takuro Fukunaga Magn´us M. Halld´orsson Hiroshi Nagamochi Abstract We consider graph coloring problems where the cost of a coloring is the sum of the costs of the colors, and the cost of a color is a monotone concave function of the total weight of the class. This models resource
Geometric conditions for robust stability
Chapellat, Herve?
1987-01-01
) Michael T. Lo gnecker (Member) Jo W. Howze (Head of Department) December 1987 ABSTRACT Ceometric Conditions for Robust Stability (Decenrber 1987) Herve Chapellat, B. S. , E. N. S. T. (Paris) Chair of Advisory Committee: Dr. S. P. Bhsttacharyya.... Georghiades and M. T. Longnecker for their comments and for taking time in reviewing this thesis. Finally, I wish to express deep gratitude to my former school in Paris, the Ecole ?ationale Supericure des Telecornrnurdcations (E. lV. S. T. ), that allosved...
Robust-Optimization — the elephant in the robust-satisficing room
2012-09-24
Sep 24, 2012 ... into sharp focus the relation between the robust-satisficing approach advocated by info-gap decision theory and Robust Optimization.
Research Article Neural Mechanisms Supporting Robust Discrimination
Kilgard, Michael P.
Research Article Neural Mechanisms Supporting Robust Discrimination of Spectrally and Temporally by spectrally and temporally degraded speech sounds will account for the robust behavioral discrimination of speech. We examined the behavioral discrimination of noise vocoded consonants and vowels by rats
On the robustness of clustered sensor networks
Cho, Jung Jin
2009-05-15
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...
Quantification of structural redundancy and robustness
Brett, Colin Joseph
2015-06-29
Historical collapse events are testament to the inherent dangers of non-robust structures. Designing robust structures is vital to ensure that localised damage events, such as the failure of a single structural element, ...
Optimization Online - Robust Optimization Submissions - 2015
Robust Optimization Submissions - 2015. January 2015. A Composite Risk Measure Framework for Decision Making under Uncertainty Pengyu Qian, Zizhuo ...
On Robust Regression in Photogrammetric Point Clouds
Schindler, Konrad
On Robust Regression in Photogrammetric Point Clouds Konrad Schindler and Horst Bischof Institute,bischof}@icg.tu-graz.ac.at Abstract. Many applications in computer vision require robust linear regression on photogrammetrically for robust regression are based on distance measures from the regression surface to the points
Distributed robustness versus redundancy as causes of
Wagner, Andreas
Distributed robustness versus redundancy as causes of mutational robustness Andreas Wagner Summary networks and whole organisms. I here ask which of two possible causes of such robustness are more important of the two causes is redundancy of a system's parts: A gene may be dispensable if the genome contains
Recent Progress toward Robust Photocathodes
Mulhollan, G. A.; Bierman, J. C. [Saxet Surface Science, Austin, TX 78744 (United States)
2009-08-04
RF photoinjectors for next generation spin-polarized electron accelerators require photo-cathodes capable of surviving RF gun operation. Free electron laser photoinjectors can benefit from more robust visible light excited photoemitters. A negative electron affinity gallium arsenide activation recipe has been found that diminishes its background gas susceptibility without any loss of near bandgap photoyield. The highest degree of immunity to carbon dioxide exposure was achieved with a combination of cesium and lithium. Activated amorphous silicon photocathodes evince advantageous properties for high current photoinjectors including low cost, substrate flexibility, visible light excitation and greatly reduced gas reactivity compared to gallium arsenide.
Robust maintenance policies for Markovian systems under model uncertainty
Kuhn, K D; Madanat, S M
2006-01-01
2: The cost ranges of non-robust asset management. Figureranges of Maximin robust asset management. Figure 4: Theranges of Hurwicz (optimism = 0.5) robust asset management.
Quantifying the robustness of metro networks
Wang, Xiangrong; Derrible, Sybil; Ahmad, Sk Nasir; Kooij, Robert E
2015-01-01
Metros (heavy rail transit systems) are integral parts of urban transportation systems. Failures in their operations can have serious impacts on urban mobility, and measuring their robustness is therefore critical. Moreover, as physical networks, metros can be viewed as network topological entities, and as such they possess measurable network properties. In this paper, by using network science and graph theoretical concepts, we investigate both theoretical and experimental robustness metrics (i.e., the robustness indicator, the effective graph conductance, and the critical thresholds) and their performance in quantifying the robustness of metro networks under random failures or targeted attacks. We find that the theoretical metrics quantify different aspects of the robustness of metro networks. In particular, the robustness indicator captures the number of alternative paths and the effective graph conductance focuses on the length of each path. Moreover, the high positive correlation between the theoretical m...
Robust inversion, dimensionality reduction, and randomized sampling
2011-11-17
Nov 16, 2011 ... data and yield coherent geological information. Inverse problems .... Our aim is to characterize the benefits of robust inversion and to describe.
Optimization Online - Robust Dual Response Optimization
Aug 8, 2015 ... Abstract: This article presents a robust optimization reformulation of the dual response problem developed in response surface methodology.
Robust carbon monolith having hierarchical porosity
Dai, Sheng; Guiochon, Georges A; Liang, Chengdu
2014-01-14
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
2013-06-13
[9] L. Zhao and B. Zeng, “Robust unit commitment problem with demand response and wind energy,” in Power and. Energy Society General Meeting, 2012 IEEE.
Optimization Online - Distributionally robust workforce scheduling in ...
May 25, 2011 ... Robust optimization for environmental and energy planning. In Filar, J. and Haurie, A., editors, Handbook on “Uncertainty and Environmental ...
Robust carbon monolith having hierarchical porosity
Dai, Sheng; Guiohon, Georges A; Liang, Chengdu
2013-02-05
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.
Costs and benefits of robust optimization
2010-11-13
papers [3] by Ben-Tal and Nemirovski provides a stability analysis together with a result concerning costs for robust linear optimization under convex uncertainty.
Robust Methods for Engineering Design Optimization
Dennis, Brian
· Optimized design is 3% more efficient than usual straight blade #12;6 Optimization of Turbine Stator1 Robust Methods for Engineering Design Optimization Brian Dennis, PhD Research Associate ADVENTURE Project University of Tokyo Outline · Introduction · Robust Algorithms for Design Optimization · Example
A Robust Strategy for Sustainable Energy
A Robust Strategy for Sustainable Energy ONCE AGAIN THE debate has intensified over whether energy uncertainties.4 Strategies for long-term energy planning must be robust to unpredictable variations Even if the world's oil resources are indeed plentiful, world energy supply remains very much
Software Robustness Testing A Ballista Retrospective
Koopman, Philip
Software Robustness Testing A Ballista Retrospective Phil Koopman koopman@cmu.edu http://ballista & training #12;3 Ballista Software Testing Overview Abstracts testing to the API/Data type level · Most test UNDER TEST ROBUST OPERATION REPRODUCIBLE FAILURE UNREPRODUCIBLE FAILURE #12;4 Ballista: Test Generation
Hierarchical Network Structure Promotes Dynamical Robustness
Cameron Smith; Raymond S. Puzio; Aviv Bergman
2015-06-16
The relationship between network topology and system dynamics has significant implications for unifying our understanding of the interplay among metabolic, gene-regulatory, and ecosystem network architecures. Here we analyze the stability and robustness of a large class of dynamics on such networks. We determine the probability distribution of robustness as a function of network topology and show that robustness is classified by the number of links between modules of the network. We also demonstrate that permutation of these modules is a fundamental symmetry of dynamical robustness. Analysis of these findings leads to the conclusion that the most robust systems have the most hierarchical structure. This relationship provides a means by which evolutionary selection for a purely dynamical phenomenon may shape network architectures across scales of the biological hierarchy.
Robust execution for stochastic hybrid systems
Blackmore, Lars James Christopher
2007-01-01
Unmanned systems, such as Autonomous Underwater Vehicles (AUVs), planetary rovers and space probes, have enormous potential in areas such as reconnaissance and space exploration. However the effectiveness and robustness ...
Robust adaptive control of switched systems
El-Rifai, Khalid, 1979-
2007-01-01
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 ...
Theory and Applications of Robust Optimization
Bertsimas, Dimitris J.
In this paper we survey the primary research, both theoretical and applied, in the area of robust optimization (RO). Our focus is on the computational attractiveness of RO approaches, as well as the modeling power and broad ...
The recoverable robust tail assignment problem
2012-12-17
the benefits of simultaneously solving planning and recovery problems in the RRTAP ...... In future work, we aim to extend the recoverable robustness technique for airline problems. .... North-Holland Publishing Company, Amsterdam, 1981.
Gaussian Quadrature for computer aided robust design
Reber, Geoffrey Scott, 1979-
2004-01-01
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 ...
RPS Group Plc | Open Energy Information
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Preliminary Inputs for Wisconsin RPS Analysis
Gasoline and Diesel Fuel Update (EIA)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1Markets160 October 2015 Table1.
Robust, High-Throughput Analysis of Protein Structures
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Robust, High-Throughput Analysis of Protein Structures Robust, High-Throughput Analysis of Protein Structures Print Wednesday, 28 October 2009 00:00 Scientists have developed a...
Super-Sensitive and Robust Biosensors from Supported Polymer...
Office of Scientific and Technical Information (OSTI)
Super-Sensitive and Robust Biosensors from Supported Polymer Bilayers Citation Details In-Document Search Title: Super-Sensitive and Robust Biosensors from Supported Polymer...
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
JOURNAL OF LATEX CLASS FILES 1 Robust Logistic Regression
Hero, Alfred O.
JOURNAL OF LATEX CLASS FILES 1 Robust Logistic Regression with Bounded Data Uncertainties Patrick L a formulation of robust logistic regression under bounded data uncertainties. The robust estimates are obtained compare the results of 1-Logistic Regression against 1-Robust Logistic Regression on a real gene
Robust Optimization for Strategic Energy Stefano Moret
Bierlaire, Michel
replacing fossil technologies with renewables and more ecient alternatives [9]. 1.1 Motivation. LongRobust Optimization for Strategic Energy Planning Stefano Moret Michel Bierlaire Francois-or.epfl.ch Ecole Polytechnique Federale de Lausanne (EPFL), Industrial Process and Energy Systems Engineering Group
Exploiting Redundancy for Robust Sensing CMUCS05166
Exploiting Redundancy for Robust Sensing Suman Nath CMUCS05166 August 2005 School of Computer (e.g., energy, storage). Unfortunately, these traditional tradeo#s are not well suited to resource. We argue that this approach is well suited to sensing systems since optimizing resource usage is one
ROBUST ESTIMATION VIA GENERALIZED L-STATISTICS
Serfling, Robert
CHAPTER 1 ROBUST ESTIMATION VIA GENERALIZED L-STATISTICS: THEORY, APPLICATIONS, AND PERSPECTIVES ROBERT SERFLING University of Texas at Dallas Abstract: Generalized L-statistics, introduced in Ser ing (1984) and including classical U-statistics and L-statistics, are linear functions based on the ordered
Stochastic-Based Robust Dynamic Resource Allocation
Maciejewski, Anthony A.
Stochastic-Based Robust Dynamic Resource Allocation in a Heterogeneous Computing System Jay Smith--This research investigates the problem of ro- bust dynamic resource allocation for heterogeneous dis- tributed computing systems operating under imposed con- straints. Often, such systems are expected to function
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
Robust Speech Recognition Under Noisy Ambient
6.4.2 Robust Feature Selection and Extraction Methods .................................... 145 6 ..................................................................................................................... 156 ABSTRACT Automatic speech recognition is critical in natural human-centric interfaces for ambient, and a number of commercial speech recognition products (from Nuance, IBM, Microsoft, Nokia, etc
ROBUST PRODUCTION MANAGEMENT Abstract The problem of ...
2011-01-28
To our knowledge, a robust approach for the electricity production .... In this article, we use flexible EJP contracts convexifying the constraints, in such a .... In what follows, we assume that the hydroelectric network is made up of a set of ...... Daily generation scheduling with transmission constraints: A new class of algorithms.
Robustness Analysis of Synchrosqueezed Transforms Haizhao Yang
Ying, Lexing
with better accuracy and robustness. A software package together with several heavily noisy examples signals with non-linear and non-stationary wave-like patterns are ubiquitous in science and engineering, e, Nkk(x) is the instantaneous frequency (or Nk k(x) as the local wave vector), T(x) is a smooth trend
Robustness of Sequential Circuits Laurent Doyen
Doyen, Laurent
, such as the flight controllers, it is essential to design systems that guarantee robust behavior even when the input components play a central role in the design of complex embedded systems. These components are interconnected.g., digital controllers with switching behavior), we need a flexible framework that ac- commodates this fact
COMPARISON OF UNCERTAINTY PARAMETERISATIONS FOR H ROBUST
Cambridge, University of
COMPARISON OF UNCERTAINTY PARAMETERISATIONS FOR H ROBUST CONTROL OF TURBOCHARGED DIESEL ENGINES arose during the model validation for a turbocharged diesel engine (cf. Sections 2 and 3). Mismatches PROBLEM The plant to be controlled is a turbocharged pas- senger car diesel engine equipped with exhaust
Tax Credits, Rebates & Savings | Department of Energy
Broader source: Energy.gov (indexed) [DOE]
Solar Renewable Energy Credits 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...
Marine Mammals Enact Individual Worlds
Delfour, Fabienne
2010-01-01
false killer whales (Pseudorca crassidens) and Californiafalse killer whales (Pseudorca crassidens) and sea lions (
Marine Mammals Enact Individual Worlds
Delfour, Fabienne
2010-01-01
148, Delfour, F. (2006b). Marine mammals in front of thefor the Society for Marine Mammalogy, Quebec City, Canada,image processing in three marine mammal species: Killer
Robustness in sparse linear models: relative efficiency based on robust approximate message passing
Bradic, J; Chen, J
2015-01-01
breakdown-point and high efficiency robust estimates forthe clear benefits of efficient loss functions. When thethe P-LAD method is less efficient than the P-LS method for
Fighting dephasing noise with robust optimal control
Young, Kevin C; Whaley, K Birgitta
2010-01-01
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 situa...
Robust design using sequential computer experiments
Gupta, Abhishek
2004-09-30
step for robust design is to classify the input factors as controllable factors or design variables, xc, and noise factors or environmental variables, xe. We suppose the domain of y is ? which is a fixed subset of d and ?ec x . The process... follows the style and format of ASME Journal of Manufacturing Science and Engineering. 2 • PWB thickness & material properties • Component properties • Interconnect geometry Bending von Mises stress of critical solder joints INPUTS: x...
Species interactions differ in their genetic robustness
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Chubiz, Lon M.; Granger, Brian R.; Segre, Daniel; Harcombe, William R.
2015-04-14
Conflict and cooperation between bacterial species drive the composition and function of microbial communities. Stability of these emergent properties will be influenced by the degree to which species' interactions are robust to genetic perturbations. We use genome-scale metabolic modeling to computationally analyze the impact of genetic changes when Escherichia coli and Salmonella enterica compete, or cooperate. We systematically knocked out in silico each reaction in the metabolic network of E. coli to construct all 2583 mutant stoichiometric models. Then, using a recently developed multi-scale computational framework, we simulated the growth of each mutant E. coli in the presence of S.more »enterica. The type of interaction between species was set by modulating the initial metabolites present in the environment. We found that the community was most robust to genetic perturbations when the organisms were cooperating. Species ratios were more stable in the cooperative community, and community biomass had equal variance in the two contexts. Additionally, the number of mutations that have a substantial effect is lower when the species cooperate than when they are competing. In contrast, when mutations were added to the S. enterica network the system was more robust when the bacteria were competing. These results highlight the utility of connecting metabolic mechanisms and studies of ecological stability. Cooperation and conflict alter the connection between genetic changes and properties that emerge at higher levels of biological organization.« less
Species interactions differ in their genetic robustness
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Chubiz, Lon M. [Univ. of Missouri - St. Louis, St. Louis, MO (United States); Granger, Brian R. [Boston Univ., MA (United States); Segre, Daniel [Boston Univ., MA (United States); Harcombe, William R. [Univ. of Minnesota, St. Paul, MN (United States)
2015-04-14
Conflict and cooperation between bacterial species drive the composition and function of microbial communities. Stability of these emergent properties will be influenced by the degree to which species' interactions are robust to genetic perturbations. We use genome-scale metabolic modeling to computationally analyze the impact of genetic changes when Escherichia coli and Salmonella enterica compete, or cooperate. We systematically knocked out in silico each reaction in the metabolic network of E. coli to construct all 2583 mutant stoichiometric models. Then, using a recently developed multi-scale computational framework, we simulated the growth of each mutant E. coli in the presence of S. enterica. The type of interaction between species was set by modulating the initial metabolites present in the environment. We found that the community was most robust to genetic perturbations when the organisms were cooperating. Species ratios were more stable in the cooperative community, and community biomass had equal variance in the two contexts. Additionally, the number of mutations that have a substantial effect is lower when the species cooperate than when they are competing. In contrast, when mutations were added to the S. enterica network the system was more robust when the bacteria were competing. These results highlight the utility of connecting metabolic mechanisms and studies of ecological stability. Cooperation and conflict alter the connection between genetic changes and properties that emerge at higher levels of biological organization.
EFFICIENT UNCERTAINTY ANALYSIS METHODS FOR MULTIDISCIPLINARY ROBUST DESIGN
Chen, Wei
EFFICIENT UNCERTAINTY ANALYSIS METHODS FOR MULTIDISCIPLINARY ROBUST DESIGN Xiaoping Du* and Wei robust design procedure that utilizes efficient methods for uncertainty analysis is developed. Different techniques used for uncertainty analysis will significantly reduce the amount of design evaluations
Robust Learning from Bites for Data Mining Andreas Christmann
Robust Learning from Bites for Data Mining Andreas Christmann Vrije Universiteit Brussel minimization, data mining, distributed computing, influence function, logistic regression, robustness management, respectively. Other examples are large observational data sets in data mining projects and data
State Regulatory Framework Will Most Likely Result in Robust...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
State Regulatory Framework Will Most Likely Result in Robust CO2 Pipeline System, New Study Says State Regulatory Framework Will Most Likely Result in Robust CO2 Pipeline System,...
Robustness Analysis of Genetic Programming Controllers for Unmanned Aerial Vehicles
Fernandez, Thomas
Robustness Analysis of Genetic Programming Controllers for Unmanned Aerial Vehicles Gregory J to operate the vehicle safely. We have evolved navigation controllers for unmanned aerial vehicles programming, robustness, trans- ference, unmanned aerial vehicles Gregory J. Barlow is also affiliated
After 2020: prospects for Higher RPS Levels inHigher RPS Levels in
Scoping Plan · Progress on 2020 GHG goals Energy Policy Report (IEPR) · "Evaluation of · Proposed bill proposals are likely in next session 2 modeling session #12;Why Renewable Energy? 1. California leadership in 2011 covered 62% of global emissions China (28%), United States (16%), EU27 (11%), India (7
LIBRA: a MATLAB Library for Robust Analysis List of Functions
LIBRA: a MATLAB Library for Robust Analysis List of Functions October 31, 2011 This document contains the list of functions that are currently available in the `MATLAB Library for Robust Analysis and quadratic discriminant analysis 22-04-2004 (classification of low-dimensional data) classifskew Robust
Robust Subspace System Identification via Weighted Nuclear Norm Optimization
Seshia, Sanjit A.
Robust Subspace System Identification via Weighted Nuclear Norm Optimization Dorsa Sadigh Henrik via the nuclear norm relaxation. Inspired by robust PCA, we extend this framework to handle outliers, outliers, nuclear norm, sparsity, robust PCA. 1. INTRODUCTION Subspace system identification is a well
Robust Utility Maximization with Limited Downside Risk in Incomplete Markets
Weber, Stefan
Robust Utility Maximization with Limited Downside Risk in Incomplete Markets Anne Gundel Humboldt) in an incomplete market. Downside risk is constrained by a robust version of utility-based shortfall risk. We-dimensional analogue of f-divergences which generalize the notion of relative entropy. Key words: Robust utility
Algorithms for Determining Network Robustness Heath J. LeBlanc
Koutsoukos, Xenofon D.
Algorithms for Determining Network Robustness Heath J. LeBlanc Department of Electrical & Computer.koutsoukos@vanderbilt.edu ABSTRACT In this paper, we study algorithms for determining the robustness of a network. Network robustness algorithms that use purely local strategies are able to succeed in the presence of adversary nodes. Therefore
Robust Combiner for Obfuscators Amir Herzberg and Haya Shulman
International Association for Cryptologic Research (IACR)
, mo- bile agents, grid computing, and others. In white-box security the software is at full control and are not proven to be secure. One technique to enhance security is robust combiners. An algorithm C is a robust security is established. In addition, robust combiners for software hardening are interesting from soft
MULTIVARIATE REGRESSION S-ESTIMATORS FOR ROBUST ESTIMATION AND INFERENCE
Van Aelst, Stefan
1 MULTIVARIATE REGRESSION S-ESTIMATORS FOR ROBUST ESTIMATION AND INFERENCE Stefan Van Aelst-estimators for multivariate regression. We study the robustness of the estimators in terms of their breakdown point and in and multivariate location and scatter. Furthermore we develop a fast and robust bootstrap method
An alternative robustness measure with applications
Kellison, Floyd Wesley
1990-01-01
measures differ by as much as a factor of 5. 7. 27 Table II. Robustness Measures For Various (Ly Ls) Pairs p(z) z gg censored at Lr Lg g(z) = z: censored at L, Lr 1. 000 . 5465 1. 100 . 5441 1. 200 . 5431 1. 300 . 5432 1. 400 . 5439 1. 500... corresponding to this distribution. In particular, a popular distribution-free estimator which draws inspiration from laws of large numbers is obtained by choosing g(z) = z for sll z E B. However, the performance of this estimator can depend on the underlying...
Sensitivity approximation for robust stability and tracking
McLean, Chris Steven
1984-01-01
) Norman W. Na gle (Member) Don R. Halverson (Member) William B. Jones (Head of Department) May 1984 1n Abstract Sensitivity Approximation for Robust Stability and Tracking. (May 1984) Chris Steven McLean, B. S, , Louisiana Tech University... indispensable to the completion of this thesis. I would like to thank Dr. S. P. Bhattacharyya for introducing me to the wonders of automatic control. I also would like to thank Dr. D. R. Halverson and Dr. N. W. Naugle for serving on my committee, Dr. John...
Rapid and robust spin state amplification
Tom Close; Femi Fadugba; Simon C. Benjamin; Joseph Fitzsimons; Brendon W. Lovett
2011-05-24
Electron and nuclear spins have been employed in many of the early demonstrations of quantum technology (QT). However applications in real world QT are limited by the difficulty of measuring single spins. Here we show that it is possible to rapidly and robustly amplify a spin state using a lattice of ancillary spins. The model we employ corresponds to an extremely simple experimental system: a homogenous Ising-coupled spin lattice in one, two or three dimensions, driven by a continuous microwave field. We establish that the process can operate at finite temperature (imperfect initial polarisation) and under the effects of various forms of decoherence.
New Robust References! | OpenEI Community
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 QA:QA J-E-1 SECTION J APPENDIX E LIST OFAMERICA'SHeavyAgency (IRENA)Options Jump to: navigation, search Name:New Robust
Confidence from uncertainty - A multi-target drug screening method from robust control theory
Luni, Camilla; Shoemaker, Jason E; Sanft, Kevin R; Petzold, Linda R; Doyle, Francis J
2010-01-01
method from robust control theory. BMC Systems Biology 2010method from robust control theory Camilla Luni 1 , Jason Eof a method from robust control theory, Structured Singular
Fighting dephasing noise with robust optimal control
Kevin C. Young; Dylan J Gorman; K. Birgitta Whaley
2010-05-28
We address the experimentally relevant problem of robust mitigation of dephasing noise acting on a qubit. We first present an extension of a method for representing $1/\\omega^{\\alpha}$ noise developed by Kuopanportti et al. to the efficient representation of arbitrary Markovian noise. We then add qubit control pulses to enable the design of numerically optimized, two-dimensional control functions with bounded amplitude, that are capable of decoupling the qubit from the dephasing effects of a broad variety of Markovian noise spectral densities during arbitrary one qubit quantum operations. We illustrate the method with development of numerically optimized control pulse sequences that minimize decoherence due to a combination of $1/\\omega$ and constant offset noise sources. Comparison with the performance of standard dynamical decoupling protocols shows that the numerically optimized pulse sequences are considerably more robust with respect to the noise offset, rendering them attractive for application to situations where homogeneous dephasing noise sources are accompanied by some extent of heterogeneous dephasing. Application to the mitigation of dephasing noise on spin qubits in silicon indicates that high fidelity single qubit gates are possible with current pulse generation technology.
Robust quantum searching with spontaneously decaying qubits
Robert J. C. Spreeuw; Tom W. Hijmans
2007-06-29
We present a modification of the standard single-item quantum search procedure that acquires robustness from spontaneous decay of the qubits. This damps the usual oscillation of populations, driving the system to a steady state with a strongly enhanced population of the solution. Numerical evaluation of the steady state was performed for up to 36 qubits. The huge size of the state space in our analysis is dealt with by exploiting a symmetry in the master equation that reduces the scaling of computer resources from exponential to polynomial. Based on these results we estimate that an error-free solution can be retrieved from the steady state after O(log log N) repetitions, with near-unit probability. This brings the overall scaling to O(sqrt{N} log log N), only slightly worse than for the ideal quantum case.
Robust bearing estimation for 3-component stations
CLAASSEN,JOHN P.
2000-02-01
A robust bearing estimation process for 3-component stations has been developed and explored. The method, called SEEC for Search, Estimate, Evaluate and Correct, intelligently exploits the inherent information in the arrival at every step of the process to achieve near-optimal results. In particular the approach uses a consistent framework to define the optimal time-frequency windows on which to make estimates, to make the bearing estimates themselves, to construct metrics helpful in choosing the better estimates or admitting that the bearing is immeasurable, and finally to apply bias corrections when calibration information is available to yield a single final estimate. The algorithm was applied to a small but challenging set of events in a seismically active region. It demonstrated remarkable utility by providing better estimates and insights than previously available. Various monitoring implications are noted from these findings.
Efficient and robust gradient enhanced Kriging emulators.
Dalbey, Keith R.
2013-08-01
%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.
Optimization Online - Robust Energy Cost Optimization of Water ...
Alexander Goryashko
2011-02-21
Feb 21, 2011 ... Robust Energy Cost Optimization of Water Distribution System with Uncertain Demand. Alexander Goryashko(ale_gory ***at*** rambler.ru)
Optimization Online - Robust nonlinear optimization via the dual
Apr 29, 2015 ... Robust nonlinear optimization via the dual. Bram L Gorissen(b.l.gorissen ***at*** tilburguniversity.edu) Dick Den Hertog(d.denhertog ***at*** ...
Robust, High-Throughput Analysis of Protein Structures
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Robust, High-Throughput Analysis of Protein Structures Print Scientists have developed a fast and efficient way to determine the structure of proteins, shortening a process that...
ADAPTIVE AND ROBUST TECHNIQUES (ART) FOR THERMOACOUSTIC TOMOGRAPHY
Xie, Yao
ADAPTIVE AND ROBUST TECHNIQUES (ART) FOR THERMOACOUSTIC TOMOGRAPHY By YAO XIE A DISSERTATION.1 Thermoacoustic Tomography . . . . . . . . . . . . . . . . . . . . . 1 1.2 Image Reconstruction Algorithms for TAT
Robust metal contact and capacitive mini-MEMS switches
Sedaghat Pisheh, Hojr
2013-01-01
on Stress-Gradient Robust SPST Switch Design . . . . . . .2.2.1 Switch Design . . . . . . . . . . . . . .of SPST Circular Metal-Contact Switch . . . . . . . . . .
Robust Unit Commitment Problem with Demand Response and ...
Oct 31, 2010 ... Robust Unit Commitment Problem with Demand Response and Wind Energy. Long Zhao(longzhao ***at*** mail.usf.edu) Bo Zeng(bozeng ...
Robust Unit Commitment Problem with Demand Response and ...
2010-10-31
Oct 29, 2010 ... sion, both Demand Response (DR) strategy and intermittent renewable ... Key Words: unit commitment, demand response, wind energy, robust ...
Solving Two-stage Robust Optimization Problems by A Constraint ...
2011-06-17
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)
cloud. Credit: Computational Science and Engineering Laboratory, ETH Zurich, Switzerland Direct Numerical Simulations and Robust Predictions of Cloud Cavitation Collapse PI Name:...
Synchrony and Entrainment Properties of Robust Circadian Oscillators
Petzold, Linda R.
Synchrony and Entrainment Properties of Robust Circadian Oscillators Neda Bagheri1 , Stephanie R and Computer Engineering, University of California, Santa Barbara, CA 93106-9560; Email: neda
Optimization Online - Costs and benefits of robust optimization
Ralf Werner
2010-11-13
Nov 13, 2010 ... Abstract: In this exposition the robust counterpart approach by Ben-Tal, El Ghaoui and Nemirovski is investigated with respect to its costs and ...
Robust optimization based self scheduling of hydro-thermal Genco ...
Dec 29, 2013 ... Abstract: This paper proposes a robust optimization model for optimal self scheduling of a hydro-thermal generating company. The proposed ...
Robustness of the detection probability for the sign detector
Huse, Elizabeth Ann
2003-01-01
][theta]-compression (Gaussian, Laplace, hyperbolic secant, etc.) are used. Then we examine the robustness for unbiased perturbations on a generalized Gaussian density....
Robust Planning of Green Wireless Networks Grit Claen
Paris-Sud XI, Université de
Robust Planning of Green Wireless Networks Grit Claßen RWTH Aachen University Lehrstuhl II f@umic.rwth-aachen.de Abstract--Current methods dealing with the energy efficient wireless network planning problem require a robust optimization model for the energy-efficient planning of wireless networks and apply cutting planes
Robust computations with dynamical systems Olivier Bournez1
Paris-Sud XI, Université de
. In this paper we discuss the computational power of Lips- chitz dynamical systems which are robust in the following manner: undecidability of verification doesn't hold for Lipschitz, computable and robust systems words : Verification, Model-checking, Computable Analysis, Analog Com- putations. 1 Introduction
Robust Regression Analysis: Some Popular Statistical Package Options
Masci, Frank
1 Robust Regression Analysis: Some Popular Statistical Package Options By Robert A. Yaffee Meyer of SAS, Institute for their gracious assistance. Robust regression analysis provides an alternative to a least squares regression model when fundamental assumptions are unfulfilled by the nature
Robust Algorithms for Sorting Railway Cars Christina Busing1
Nabben, Reinhard
Robust Algorithms for Sorting Railway Cars Christina B¨using1 and Jens Maue2 1 Institut f cars and reassembled to form new outgoing trains. Trains are subject to delay, which may turn deal with this issue by completely disregarding the input order of cars, which pro- vides robustness
LIBRA: a MATLAB Library for Robust Analysis Sabine Verboven
calibration, PCA, PCR, PLS, Classification, MATLAB library. 1 Introduction The need and effectivenessLIBRA: a MATLAB Library for Robust Analysis Sabine Verboven Mia Hubert June 18, 2004 Abstract, statisticians, chemists, and engineers, we introduce a MATLAB library of robust statistical methods. Those
Enhancing tidal harmonic analysis: Robust (hybrid L1 ) solutions
Hickey, Barbara
Enhancing tidal harmonic analysis: Robust (hybrid L1 =L2 ) solutions Keith E. Leffler Ã, David A 24 February 2008 Accepted 28 April 2008 Keywords: Tides Tidal analysis Harmonic analysis Robust is calculated from the power spectrum of the residual, a calculation that filters broad spectrum noise
Robust Resource Allocations in Parallel Computing Systems: Model and Heuristics
Maciejewski, Anthony A. "Tony"
Robust Resource Allocations in Parallel Computing Systems: Model and Heuristics Vladimir Shestak1 in parallel computer systems (including heterogeneous clusters) should be allocated to the computational was supported by the Colorado State University Center for Robustness in Computer Systems (funded by the Colorado
Robust Photo Retrieval Using World Semantics Hugo Liu*, Henry Lieberman*
Robust Photo Retrieval Using World Semantics Hugo Liu*, Henry Lieberman* * MIT Media Laboratory Photos annotated with textual keywords can be thought of as resembling documents, and querying for photos motivated rather than conceptually motivated. In our photo domain, we propose a mechanism for robust
Greedy Approaches to Static Stochastic Robust Resource Allocation for Periodic
Maciejewski, Anthony A.
Greedy Approaches to Static Stochastic Robust Resource Allocation for Periodic Sensor Driven@us.ibm.com Abstract-- This research investigates the problem of robust resource allocation for a large class. Such systems are expected to function in an environment replete with uncertainty where the workload is likely
Batch Mode Stochastic-Based Robust Dynamic Resource Allocation
Maciejewski, Anthony A.
Batch Mode Stochastic-Based Robust Dynamic Resource Allocation in a Heterogeneous Computing System in system parameters is common. Robustness can be defined as the degree to which a system can function in data size and content. Determining a resource allocation that accounts for this uncertainty
Locally robust implementation and its limits Philippe Jehiely
Franz, Sven Oliver
than ex-post implementation, but we show that no regular allocation function is locally robust that only trivial allocation functions are implementable when payo¤ types are multi of agents, any robustly implementable choice function is also dominant-strategy implementable when
DISSERTATION A SYNTHESIS OF REINFORCEMENT LEARNING AND ROBUST CONTROL THEORY
Anderson, Charles W.
DISSERTATION A SYNTHESIS OF REINFORCEMENT LEARNING AND ROBUST CONTROL THEORY Submitted by R OF DISSERTATION A SYNTHESIS OF REINFORCEMENT LEARNING AND ROBUST CONTROL THEORY The pursuit of control algorithms is a collection of theories, techniques, and tools that form one of the leading edge approaches to control. Most
Improved Histogram Equalization Methods for Robust Speech Recognition
Improved Histogram Equalization Methods for Robust Speech Recognition Hsin-Ju Hsieh1, 2 , Jeih-weih Hung2 , Berlin Chen1 1 2 hsinju@ntnu.edu.tw, berlin@ntnu.edu.tw, jwhung@ncnu.edu.tw (Histogram% Keywords: automatic speech recognition, noise robustness, histogram equalization, feature contextual
Model Based Object Recognition by Robust Information Fusion Haifeng Chen
Model Based Object Recognition by Robust Information Fusion Haifeng Chen ¢¡¤£ Ilan Shimshoni on robust information fusion is put forward in this paper. In this algorithm, the property of probabilistic fusion technique that is based on the non- parametric mode search method, mean shift, is proposed
Robust Combiners for Software Hardening Amir Herzberg and Haya Shulman
International Association for Cryptologic Research (IACR)
Robust Combiners for Software Hardening Amir Herzberg and Haya Shulman Bar-Ilan University Department of Computer Science Ramat-Gan, 52900, Israel Abstract. All practical software hardening schemes S provided either X or Y satisfy S. We present the rst robust combiners for software hardening, specically
Creating Robust Roadmaps for Motion Planning in Changing Environments
van den Berg, Jur
Creating Robust Roadmaps for Motion Planning in Changing Environments Jur P. van den Berg1 Dennis-- In this paper we introduce a method based on the Probabilistic Roadmap (PRM) Planner to construct robust roadmaps for motion planning in changing environments. PRM's are usually aimed at static environments
Robust Trajectory Planning for Unmanned Aerial Vehicles in Uncertain Environments
Robust Trajectory Planning for Unmanned Aerial Vehicles in Uncertain Environments by Brandon Luders;Robust Trajectory Planning for Unmanned Aerial Vehicles in Uncertain Environments by Brandon Luders of the requirements for the degree of Master of Science in Aeronautics and Astronautics Abstract As unmanned aerial
Design of a robust superhydrophobic surface: thermodynamic and kinetic analysis
Anjishnu Sarkar; Anne-Marie Kietzig
2014-12-17
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 multiuser detection in ?-stable distribution non-Gaussian noise
Zhang, Jing
2002-01-01
In this thesis, we will model the ambient non-Gaussian noise as the ?-stable distribution because this model has many attractive properties. By using this noise model, the robust multiuser detectors achieve significant performance gain, and the two...
A Probabilistic Particle Control Approach to Optimal, Robust Predictive Control
Blackmore, Lars
2006-04-28
Autonomous vehicles need to be able to plan trajectories to a specified goal that avoid obstacles, and are robust to the inherent uncertainty in the problem. This uncertainty arises due to uncertain state estimation, ...
Efficient, Portable, and Robust Extension of Operating System Functionality
Newhall, Tia
Efficient, Portable, and Robust Extension of Operating System Functionality Amin Vahdat, Douglas, operating systems are not chosen for underlying system features, but rather for the performance of the underlying hardware, available application programs, and system stability. Consequently, operating system
Robust and decentralized task assignment algorithms for UAVs
Alighanbari, Mehdi, 1976-
2007-01-01
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 randomized trajectory planning for satellite attitude tracking control
Barker, Drew R. (Drew Richard), 1981-
2006-01-01
This thesis presents a novel guidance strategy that uses a randomized trajectory planning algorithm in a closed-loop fashion to provide robust motion planning and execution. By closing the guidance, navigation, and control ...
Robustness in Glyoxylate Bypass Regulation Guy Shinar1
.shinar@weizmann.ac.il Introduction Robustness in biological systems has seen a renewal of research interest in recent years [1 in the protein levels. For example, specific mechanisms explain how exact adaptation in bacterial chemotaxis
Applications of broad class knowledge for noise robust speech recognition
Sainath, Tara N
2009-01-01
This thesis introduces a novel technique for noise robust speech recognition by first describing a speech signal through a set of broad speech units, and then conducting a more detailed analysis from these broad classes. ...
Robust and scalable scheme to generate large-scale entanglement...
Office of Scientific and Technical Information (OSTI)
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...
The robustness of block truncation coding for image compression
Hinojosa, Teresa Yvonne
1995-01-01
implementation. It uses a one bit quantizer with two output levels and a threshold. We address the imperfect knowledge of the true quantizer output levels by deriving a quantitative robustness measure for block truncation coding utilizing a differential geometric...
Trajectory planning for unmanned vehicles using robust receding horizon control
Kuwata, Yoshiaki, 1978-
2007-01-01
This thesis presents several trajectory optimization algorithms for a team of cooperating unmanned vehicles operating in an uncertain and dynamic environment. The first, designed for a single vehicle, is the Robust Safe ...
Robust Ramsey sequences with Raman adiabatic rapid passage
Kotru, Krish
We present a method for robust timekeeping in which alkali-metal atoms are interrogated in a Ramsey sequence based on stimulated Raman transitions with optical photons. To suppress systematic effects introduced by differential ...
Robust manufacturing system design using petri nets and bayesian methods
Sharda, Bikram
2008-10-10
robust design configuration, designers need accurate methods to model various uncertainties and efficient ways to search for feasible configurations. The dissertation work uses a multi-objective Genetic Algorithm (GA) and Petri net based modeling...
Robustness Testing and Hardening of CORBA ORB Implementations
Koopman, Philip
the Ballista software testing technique to test the exception-handling robustness of C++ ORB client. The Ballista project is supported in part by DARPA (contract DABT63-96-C-0064). 3 Jiantao Pan Department
Using Redundancy to Improve Robustness of Distributed Mechanism Implementations
Chen, Yiling
Using Redundancy to Improve Robustness of Distributed Mechanism Implementations Jeffrey Shneidman compatibility as requirements for a distributed mechanism im- plementation. Just as payments are used to create incentive com- patible mechanisms, some technique must be used to create com- putation
The Value of Flexibility in Robust Location-Transportation Problem
2014-11-24
Facility location decisions play a critical role in transportation planning. ... little is known about future demand, robust optimization, namely using a budgeted ... acterized by Dj. The total profit generated by the company is computed based on
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 ...
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 Science, P.O.Box 784 University of Wisconsin, Milwaukee, Milwaukee, WI 53201, USA. e-mail: mali
Robust, goal-directed plan execution with bounded risk
Ono, Masahiro, Ph. D. Massachusetts Institute of Technology
2012-01-01
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 ...
2006 Nature Publishing Group Robust Salmonella metabolism limits
Cai, Long
© 2006 Nature Publishing Group Robust Salmonella metabolism limits possibilities for new validation is largely lacking. Here we have obtained in vivo information about over 700 Salmonella enterica enzymes from network analysis of mutant phenotypes, genome comparisons and Salmonella proteomes from
Distributionally robust workforce scheduling in call centers with ...
2011-05-25
programming and distributionally robust optimization to minimize the total salary costs under service .... knowledge often comes from a statistical estimation procedure and takes the form of point ..... following inequalities hold for any a ? R|L|. 1.
Robust and Efficient Multifrontal Solver for Large Discretized PDEs
2012-01-16
2.71e8. 2.60e8. 2.50e8. 2.34e8 multifrontal method, our robust structured factorization .... Sambavaram, S.R., Sarin, V., Sameh, A.H., Grama, A.: Multipole-
A network approach for power grid robustness against cascading failures
Wang, Xiangrong; Kooij, Robert E; Van Mieghem, Piet
2015-01-01
Cascading failures are one of the main reasons for blackouts in electrical power grids. Stable power supply requires a robust design of the power grid topology. Currently, the impact of the grid structure on the grid robustness is mainly assessed by purely topological metrics, that fail to capture the fundamental properties of the electrical power grids such as power flow allocation according to Kirchhoff's laws. This paper deploys the effective graph resistance as a metric to relate the topology of a grid to its robustness against cascading failures. Specifically, the effective graph resistance is deployed as a metric for network expansions (by means of transmission line additions) of an existing power grid. Four strategies based on network properties are investigated to optimize the effective graph resistance, accordingly to improve the robustness, of a given power grid at a low computational complexity. Experimental results suggest the existence of Braess's paradox in power grids: bringing an additional li...
Dynamic Resource Allocation Heuristics for Maximizing Robustness with an Overall Makespan
Dynamic Resource Allocation Heuristics for Maximizing Robustness with an Overall Makespan function correctly in the presence of parameter values different from those assumed. This work uses attainable robustness of the described system. Index Terms-- robustness, resource allocation, makespan, dy
Robust packaging system for diesel/natural gas oxidation catalysts
Gulati, S.T.; Sherwood, D.L. [Corning, Inc., NY (United States); Corn, S.H.
1996-09-01
The 290,000 vehicle-mile durability requirement for diesel/natural gas oxidation catalysts calls for robust packaging systems which ensure a positive mounting pressure on the ceramic flow-through converter under all operating conditions. New data for substrate/washcoat interaction, intumescent mat performance in dry and wet states, and high temperature strength and oxidation resistance of stainless steels, and canning techniques insensitive to tolerance stack-up are reviewed which help optimize packaging durability. Factors contributing to robustness of converter components are identified and methods to quantify their impact on design optimization are described.
RPS 11.1 ALARA Programs 12/31/99
Broader source: Energy.gov [DOE]
The objective of this surveillance is to evaluate the effectiveness of the contractor's implementation of a program to minimize doses to ionizing radiation As Low As Reasonably Achievable (ALARA)....
Calif. Utilities play catchup with Ever-Rising RPS targets
2008-08-15
The current status of attempts by California's three major utilities to meet mandated targets for producing power from renewable energy sources are sketched.
RPS Collaborative Webinar: Using AVERT to Estimate the Emissions...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
that was built for the US Environmental Protection Agency (EPA) by Synapse Energy Economics can ease this task. It is a free, open-access tool that estimates the hourly...
Memorandum of Understanding between DOE and NASA concerning RPS...
Broader source: Energy.gov (indexed) [DOE]
phases with respect to certain radioisotope power systems, including Radioisotope Thermoelectric Generators (RTGs) and Radioisotope Heater Units (RHUs), and to establish an...
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 RankADVANCED MANUFACTURING OFFICESpecialAPPENDIX FOrigin ofAllenDepartmentNYSERDA S ummary of
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 Home Page on QA:QA J-E-1 SECTION J APPENDIXsource History View NewGuam:onItron (California) JumpJeffersonJessi3bl'sDeControlsLFG (MA
Webinar Presentation - Energy Storage in State RPS - Dec. 19, 2011 |
Broader source: Energy.gov (indexed) [DOE]
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyThe U.S.Lacledeutilities.Energy The Weatherization andAt-A-GlanceDepartment of
DEEP LEARNING FOR ROBUST FEATURE GENERATION IN AUDIOVISUAL EMOTION RECOGNITION
Cafarella, Michael J.
DEEP LEARNING FOR ROBUST FEATURE GENERATION IN AUDIOVISUAL EMOTION RECOGNITION Yelin Kim, Honglak features or alternatively require the use of labeled data. In this paper we focus on deep learning- actions in multimodal data. We propose and evaluate a suite of Deep Belief Network models, and demonstrate
Energy and Deadline Constrained Robust Stochastic Static Resource Allocation
Maciejewski, Anthony A.
Energy and Deadline Constrained Robust Stochastic Static Resource Allocation Mark A. Oxley1 of energy and deadline constrained static resource allocation where a collection of independent tasks ("bag of tasks stochastically. This research focuses on the design of energy-constrained resource allocation
Robust Neural Sliding Mode Control of Robot Manipulators
Nguyen Tran Hiep [Le Quy Don University Hanoi-Vietnam (Viet Nam); Pham Thuong Cat [Institute of Information Technology, Academy of Science and Technology Vietnam (Viet Nam)
2009-03-05
This paper proposes a robust neural sliding mode control method for robot tracking problem to overcome the noises and large uncertainties in robot dynamics. The Lyapunov direct method has been used to prove the stability of the overall system. Simulation results are given to illustrate the applicability of the proposed method.
A robust automated system elucidates mouse home cage behavioral structure
Jiggins, Francis
sys- tems (e.g., energy balance, thermal status, osmotic/volume status, sleep, reproduction, defense processes. However, the capacity to identify and examine these patterns in terms of their discrete levels in mice with single gene mutations altering energy balance. The robust, automated, reproducible
Bayesian System Identification and Response Predictions Robust to Modeling Uncertainty
Beck, James L.
.g. system ID, structural health monitoring, robust control, state &/or parameter estimation ) #12;33 Outline of seismic ground acceleration Finite element model with uncertain parameters Posterior analysis: During;55 System performance measure in the presence of uncertainty: Failure probability + - "Failure" t(t)iy i b i
Robust Photo Retrieval Using World Semantics Hugo Liu*, Henry Lieberman*
Lieberman, Henry
), and keyword co-occurrence statistics (Peat and Willet, 1991; Lin, 1998), as well as resources generated robust involves query expansion using a thesaurus or other lexical resource. The chief limitation a world semantic resource. The resource is automatically constructed from a large-scale freely available
AUTOMATIC AND ROBUST SEMANTIC REGISTRATION OF 3D HEAD SCANS
Eisert, Peter
useful for error- prone vision techniques like stereo analysis but also for model based repairing for applications such as 3D graphics production and also for computer vision research. Laser scanners are the primeAUTOMATIC AND ROBUST SEMANTIC REGISTRATION OF 3D HEAD SCANS David C. Schneider, Peter Eisert
`Glocal' Robustness Analysis and Model Discrimination for Circadian Oscillators
Wagner, Andreas
Fe, New Mexico, United States of America, 6 Department of Biology, University of New Mexico, Albuquerque, New Mexico, United States of America Abstract To characterize the behavior and robustness of cellular circuits with many unknown parameters is a major challenge for systems biology. Its difficulty
CX: A Scalable, Robust Network for Parallel Computing
Cappello, Peter
CX: A Scalable, Robust Network for Parallel Computing}@cs.ucsb.edu telephone: 805.893.4383; fax: 805.893.853 Abstract CX, a network are distributed throughout the server network via a simple "diffusion" process. CX is intended as a test
Robustness of amorphous silicon during the initial lithiation/ delithiation cycle
Cui, Yi
technology in applications requiring lightweight and high-power rechargeable energy storage [1Robustness of amorphous silicon during the initial lithiation/ delithiation cycle Lucas A. Berla a g h l i g h t s We probe the lithiation and delithiation behavior of amorphous silicon micropillars
Innovation and robustness in complex regulatory gene networks
Wagner, Andreas
Innovation and robustness in complex regulatory gene networks S. Ciliberti*, O. C. Martin* , and A involves countless evolutionary innovations, a steady stream of ingenuity that has been flowing for more such innovation. Here, we examine these principles for evolutionary innovation in gene expression patterns
Towards Integrated Design of a Robust Feedback Controller and Topography
Van den Hof, Paul
Towards Integrated Design of a Robust Feedback Controller and Topography Estimator for Atomic Force of the sample topography. Dynamical uncertainties of the system pose a strong limitation on the achievable control bandwidth, and on the accuracy of the estimated topography. This contribution discusses
ROBUST INTELLIGENT CONTROL OF SMALL-SCALE MECHATRONIC DEVICES
Efe, Mehmet Önder
ROBUST INTELLIGENT CONTROL OF SMALL-SCALE MECHATRONIC DEVICES Mehmet Önder Efe1 , Lemi Dahan Acay2 and Pradeep K. Khosla3 1 Atilim University, Department of Mechatronics Engineering, ncek, 06836 Ankara, Turkey Engineering Department, Pittsburgh, PA, 15213-3890, U.S.A. e-mail: pkk@ece.cmu.edu Abstract Mechatronics
Robust Beamforming for Two-Way Relay Systems
Aziz, Ahsan
2013-08-14
(CSI). For such a TWR, we formulate a robust optimization problem that takes into ac- count norm-bounded estimation errors in CSI and designs an optimal beamforming matrix. Realizing the fact that this problem is extremely hard to solve globally, we...
Heuristics for Robust Resource Allocation of Satellite Weather Data Processing
Maciejewski, Anthony A. "Tony"
--This work considers the satellite data processing portion of a space-based weather monitoring systemHeuristics for Robust Resource Allocation of Satellite Weather Data Processing on a Heterogeneous INTRODUCTION THE space-based weather monitoring system considered in this work consists of two major components
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
A New Cone Programming Approach for Robust Portfolio Selection ?
2006-12-22
Dec 10, 2006 ... matrix V , i.e., the factor loadings of the individual assets, are also assumed to be known ...... The resulting portfolios are held constant for the investment at each period t. Since both the robust ..... Utilities (Gas & Electric). EMR.
A REMARK ON ROBUST STABILIZATION OF GENERAL ASYMPTOTICALLY CONTROLLABLE SYSTEMS
Sontag, Eduardo
A REMARK ON ROBUST STABILIZATION OF GENERAL ASYMPTOTICALLY CONTROLLABLE SYSTEMS Yu. S recently by Clarke, Ledyaev, Sontag and Subbotin that any asymptotically controllable system can to measurement error. This new design relies upon a controller which incorporates an internal model of the system
Robustness of Supersensitivity to Small Signals in Nonlinear Dynamical Systems
Changsong Zhou; C. -H. Lai
2000-05-08
Nonlinear dynamical systems possessing an invariant subspace can display interesting dynamical behavior, such as on-off intermittency and bubbling. This letter shows that a class of such systems have amazing features of (1) supersensitivity to small input signals and (2) robustness of the supersensitivity in the presence of noise. These features make the systems very promising as small signal detectors.
Evolving robust and specialized car racing skills Julian Togelius
Togelius, Julian
Evolving robust and specialized car racing skills Julian Togelius Department of Computer Science/C cars around several tracks of varying difficulty. The transferability of driving skills acquired when on after a general controller is developed, otherwise it hinders evolution. It is argued that simulated car
Robustness of optimal binary filters: analysis and design
Grigoryan, Artyom M
1999-01-01
and these are governed by parameterized probability laws. The optimal filter is found relative to these laws. Qualitatively, a filter is said to be robust when its performance degradation is acceptable for processes statistically close to the one for which it has been...
HIDDENARTICULATOR MARKOV MODELS: PERFORMANCE IMPROVEMENTS AND ROBUSTNESS TO NOISE
Noble, William Stafford
HIDDENÂARTICULATOR MARKOV MODELS: PERFORMANCE IMPROVEMENTS AND ROBUSTNESS TO NOISE Matt Richardson@cs}.washington.edu ABSTRACT A HiddenÂArticulator Markov Model (HAMM) is a Hidden Markov Model (HMM) in which each state], we extended the articulatoryÂfeature model introduced by Erler [7] by using diphone units and a new
Are Export Premia Robust to Innovation Statistics? Flora Bellone
Paris-Sud XI, Université de
Are Export Premia Robust to Innovation Statistics? Flora Bellone Sarah Guillou Lionel Nesta pre- mium of exporters. We start by performing non parametric tests on TFP distributions on different groups of firms characterized by their export and innovation behavior. We show that the TFP distributions
Robustness Analysis for the Certification of Digital Controller Implementations
Pappas, George J.
Robustness Analysis for the Certification of Digital Controller Implementations Jerome Le Ny, scheduling, and communications [29]. Usually the design of an embedded control system involves first control@seas.upenn.edu ABSTRACT Despite recent advances in the field of Networked Control Systems (NCS), the gap between
A Robust Optimization Framework for Analyzing Distribution Systems with Transshipment
Chaudhuri, Sanjay
A Robust Optimization Framework for Analyzing Distribution Systems with Transshipment Mabel Chou operations. Mabel Chou NUS Business School National University of Singapore Singapore 117592 Email: bizchoum Email: dscsimm@nus.edu.sg Kut C. So The Paul Merage School of Business University of California Irvine
Fusion Frames and Robust Dimension Reduction Ali Pezeshki
Kutyniok, Gitta
Fusion Frames and Robust Dimension Reduction Ali Pezeshki Princeton University Princeton, NJ 08544 fusion frame measurements in presence noise and subspace erasures. Each fusion frame mea- surement is a low-dimensional vector whose elements are inner products of an orthogonal basis for a fusion frame
PHYSICAL REVIEW E 91, 042813 (2015) Robustness of spatial micronetworks
Danforth, Chris
2015-01-01
suited to using renewable energy resources. We study the random failures of links in small networks where and residential neighborhoods in light of the increased penetration of renew- able energy sources. Creating small and construction cost of links. Traditionally, studies of network robustness have primarily considered
Minimax Design of Robust Controllers for Flexible Systems Tarunraj Singh
Singh, Tarunraj
Minimax Design of Robust Controllers for Flexible Systems Tarunraj Singh Associate Professor to damping or natural frequency, to zero. Singh and Vadali [6] arrived at the same results of Singer] etc. Liu and Singh [2] extended this idea to nonlinear systems undergoing rest-to-rest maneuver
Brief Announcement: Measuring Robustness of Superpeer Dept. of CSE
Ganguly, Niloy
in the superpeer system join and leave the network randomly without any central coordination. This churn of nodes- tice, superpeer overlay networks exhibit stable behavior against churn. However the stability the robustness of superpeer topologies in face of churn and at- tack. The main contribution of the paper lies
ROBUST RESIDUAL VIBRATION SUPPRESSION USING IIR DIGITAL FILTERS
Mavroidis, Constantinos
ROBUST RESIDUAL VIBRATION SUPPRESSION USING IIR DIGITAL FILTERS D. Economou a , C. Mavroidis b and I. Antoniadis a a National Technical University of Athens Department of Mechanical Engineering, 9 Rutgers University, The State University of New Jersey, Department of Mechanical and Aerospace Engineering
Measuring Operating System Robustness John DeVale
Koopman, Philip
call, ways to cause task hangs within OS code, ways to cause task core dumps within OS code, failures to generate any indication of error in the presence of exceptional inputs. Approximately 1% to 3% of calls. The most prevalent sources of robustness failures were illegal pointer values, numeric overflows, and end
Synchrony and entrainment properties of robust circadian oscillators
Petzold, Linda R.
Synchrony and entrainment properties of robust circadian oscillators Neda Bagheri1,, , Stephanie R in complex biological networks. We highlight phase entrainment as a key performance measure used the biological clock and its environment. Thus, we introduce methods of investigating synchrony and entrainment
Next Generation Robust Low Noise Seismometer for Nuclear Monitoring
Abramovich, Igor A.
2013-06-20
Implementation of the proposed seismometers turned out to be much more challenging than anticipated. The noise levels achieved are indeed well below those ever featured by any electrochemical sensor and just very nearly miss reaching the original objectives. However, while noise-wise the instruments could still prove their usefulness, especially considering their robustness and no-maintenance operation, the implementation of the proposed noise-reduction concept resulted in much larger and heavier devices than originally expected. Moreover, these large dimensions relate only to single-component vertical sensors. While building similar horizontal component is possible, the resulting three-component instrument would be way too large and heavy to be of any practical use. The prototype instruments developed and built retained the inherent advantages of the electrochemical seismometers: no maintenance operation; ability to perform with large installation tilts; and, unfortunately, to a much lesser extent in terms of robustness.
Robust quantum random number generator based on avalanche photodiodes
Fang-Xiang Wang; Chao Wang; Wei Chen; Shuang Wang; Fu-Sheng Lv; De-Yong He; Zhen-Qiang Yin; Hong-Wei Li; Guang-Can Guo; Zheng-Fu Han
2015-06-18
We propose and demonstrate a scheme to realize a high-efficiency truly quantum random number generator (RNG) at room temperature (RT). Using an effective extractor with simple time bin encoding method, the avalanche pulses of avalanche photodiode (APD) are converted into high-quality random numbers (RNs) that are robust to slow varying noise such as fluctuations of pulse intensity and temperature. A light source is compatible but not necessary in this scheme. Therefor the robustness of the system is effective enhanced. The random bits generation rate of this proof-of-principle system is 0.69 Mbps with double APDs and 0.34 Mbps with single APD. The results indicate that a high-speed RNG chip based on the scheme is potentially available with an integrable APD array.
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
2015-01-01
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 Decision-making Applied to Model Selection
Hemez, Francois M. [Los Alamos National Laboratory
2012-08-06
The scientific and engineering communities are relying more and more on numerical models to simulate ever-increasingly complex phenomena. Selecting a model, from among a family of models that meets the simulation requirements, presents a challenge to modern-day analysts. To address this concern, a framework is adopted anchored in info-gap decision theory. The framework proposes to select models by examining the trade-offs between prediction accuracy and sensitivity to epistemic uncertainty. The framework is demonstrated on two structural engineering applications by asking the following question: Which model, of several numerical models, approximates the behavior of a structure when parameters that define each of those models are unknown? One observation is that models that are nominally more accurate are not necessarily more robust, and their accuracy can deteriorate greatly depending upon the assumptions made. It is posited that, as reliance on numerical models increases, establishing robustness will become as important as demonstrating accuracy.
Snap: Robust Tool for Internet-wide Operating System Fingerprinting
Nandwani, Ankur Bharatbhushan
2012-02-14
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 in partial fulflllment...
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
Motivations Problem Formulation Main Results Example Conclusions Robust H Control for Model-Based
Chen, Sheng
Motivations Problem Formulation Main Results Example Conclusions Robust H Control for Model Formulation Main Results Example Conclusions Outline 1 Motivations Networked Control Systems Our Novelty 2 Problem Formulation NCS Configuration NCS Dynamics 3 Main Results Robust Stochastic Stability Synthesis
Metabolic Syndrome and Robustness Tradeoffs Hiroaki Kitano,1,2,3
Kitano, Hiroaki
systems. The concept of robustness can be defined as the property of active maintenance of specific) in modern aviation is a typical example of robust systemic function. The automatic flight control system
Copyright 2010 IEEE. Reprinted from: Toward PMU-Based Robust Automatic Voltage
Copyright © 2010 IEEE. Reprinted from: Toward PMU-Based Robust Automatic Voltage Control (AVC this document, you agree to all provisions of the copyright laws protecting it. #12;Toward PMU-Based Robust
Robust Nitrogen Oxide/Ammonia Sensors for Vehicle On-board Emissions...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Robust Nitrogen OxideAmmonia Sensors for Vehicle On-board Emissions Control Robust Nitrogen OxideAmmonia Sensors for Vehicle On-board Emissions Control 2012 DOE Hydrogen and Fuel...
Robust Bayesian general linear models W.D. Penny, J. Kilner, and F. Blankenburg
Penny, Will
Robust Bayesian general linear models W.D. Penny, J. Kilner, and F. Blankenburg Wellcome Department or cardiac noise sources (Penny et al., 2003). More recently, a number of approaches based on robust
Reliable p-median facility location problem: two-stage robust models ...
2012-12-18
constraint Generation Method. Technical Report. submitted. Zhao, L., Zeng, B., 2010. Robust Unit Commitment Problem with Demand Response and Wind.
On characterization of robust feedback Nash equilibrium for generalized multi-channel systems
Antsaklis, Panos
1 On characterization of robust feedback Nash equilibrium for generalized multi-channel systems) On characterization of robust feedback Nash equilibrium for generalized multi-channel systems Getachew K. Befekadu. Specifically, we pro- vide a sufficient condition for the existence of a robust feedback Nash equilibrium when
On characterization of robust feedback Nash equilibrium for generalized multi-channel systems
Gupta, Vijay
On characterization of robust feedback Nash equilibrium for generalized multi-channel systems condition for the existence of a robust feedback Nash equilibrium when every agent aims to optimize the structure of the game. For such a case, we characterize the robust feedback Nash equilibria via a set
The Robustness of Resource Allocation in Parallel and Distributed Computing Systems
Maciejewski, Anthony A. "Tony"
The Robustness of Resource Allocation in Parallel and Distributed Computing Systems Shoukat Ali on the robustness of a resource allocation in parallel and distributed computing systems. What does robustness mean." In the context of resource allocation in parallel and dis- tributed computing systems, how is the concept
Robust control strategy for PV system integration in distribution systems M.J. Hossain a,
Pota, Himanshu Roy
Robust control strategy for PV system integration in distribution systems M.J. Hossain a, , T t s " Robust control provides flexible photovoltaic (PV) accommodations. " A robust PV control can significantly enhance the penetration level. " The change in volatile PV generations is considered
DISCRETE-TIME ROBUST POLE-PLACEMENT DESIGN THROUGH GLOBAL OPTIMIZATION
Neumaier, Arnold
DISCRETE-TIME ROBUST POLE-PLACEMENT DESIGN THROUGH GLOBAL OPTIMIZATION Miguel Ayala Botto ,1 Robert-mail: r.babuska@its.tudelft.nl Abstract: A robust pole placement controller design method is presented Keywords: robust control, pole assignment, uncertainty, genetic algorithms, helicopter dynamics. 1
Robust manipulation of superconducting qubits in the presence of fluctuations
Daoyi Dong; Chunlin Chen; Bo Qi; Ian R. Petersen; Franco Nori
2014-08-07
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 Morphological Measures for Large-Scale Structure
T. Buchert
1994-12-17
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.
A robust quantum receiver for phase shift keyed signals
Christian R. Müller; Christoph Marquardt
2014-12-19
The impossibility of perfectly discriminating non orthogonal quantum states imposes far-reaching consequences both on quantum and classical communication schemes. We propose and numerically analyze an optimized quantum receiver for the discrimination of phase encoded signals. Our scheme outperforms the standard quantum limit and approaches the Helstrom bound for any signal power. The discrimination is performed via an optimized, feedback-mediated displacement prior to a photon counting detector. We provide a detailed analysis of the influence of excess noise and technical imperfections on the average error probability. The results demonstrate the receiver's robustness and show that it can outperform any classical receiver over a wide range of realistic parameters.
Conductive and robust nitride buffer layers on biaxially textured substrates
Sankar, Sambasivan; Goyal, Amit; Barnett, Scott A.; Kim, Ilwon; Kroeger, Donald M.
2004-08-31
The present invention relates to epitaxial, electrically conducting and mechanically robust, cubic nitride buffer layers deposited epitaxially on biaxially textured substrates such as metal 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 layers. In some embodiments the article further comprises electromagnetic devices which may be super conducting properties.
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
2009-03-31
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 Dynamical Decoupling Sequences for Individual Nuclear Spin Addressing
J. Casanova; J. F. Haase; Z. -Y. Wang; M. B. Plenio
2015-06-11
We propose the use of non-equally spaced decoupling pulses for high-resolution selective addressing of nuclear spins by a quantum sensor. The analytical model of the basic operating principle is supplemented by detailed numerical studies that demonstrate the high degree of selectivity and the robustness against static and dynamic control field errors of this scheme. We exemplify our protocol with an NV center-based sensor to demonstrate that it enables the identification of individual nuclear spins that form part of a large spin ensemble.
Achieving Robustness to Uncertainty for Financial Decision-making
Barnum, George M.; Van Buren, Kendra L.; Hemez, Francois M.; Song, Peter
2014-01-10
This report investigates the concept of robustness analysis to support financial decision-making. Financial models, that forecast future stock returns or market conditions, depend on assumptions that might be unwarranted and variables that might exhibit large fluctuations from their last-known values. The analysis of robustness explores these sources of uncertainty, and recommends model settings such that the forecasts used for decision-making are as insensitive as possible to the uncertainty. A proof-of-concept is presented with the Capital Asset Pricing Model. The robustness of model predictions is assessed using info-gap decision theory. Info-gaps are models of uncertainty that express the “distance,” or gap of information, between what is known and what needs to be known in order to support the decision. The analysis yields a description of worst-case stock returns as a function of increasing gaps in our knowledge. The analyst can then decide on the best course of action by trading-off worst-case performance with “risk”, which is how much uncertainty they think needs to be accommodated in the future. The report also discusses the Graphical User Interface, developed using the MATLAB® programming environment, such that the user can control the analysis through an easy-to-navigate interface. Three directions of future work are identified to enhance the present software. First, the code should be re-written using the Python scientific programming software. This change will achieve greater cross-platform compatibility, better portability, allow for a more professional appearance, and render it independent from a commercial license, which MATLAB® requires. Second, a capability should be developed to allow users to quickly implement and analyze their own models. This will facilitate application of the software to the evaluation of proprietary financial models. The third enhancement proposed is to add the ability to evaluate multiple models simultaneously. When two models reflect past data with similar accuracy, the more robust of the two is preferable for decision-making because its predictions are, by definition, less sensitive to the uncertainty.
Robust Dynamical Decoupling Sequences for Individual Nuclear Spin Addressing
J. Casanova; Z. -Y. Wang; J. F. Haase; M. B. Plenio
2015-10-10
We propose the use of non-equally spaced decoupling pulses for high-resolution selective addressing of nuclear spins by a quantum sensor. The analytical model of the basic operating principle is supplemented by detailed numerical studies that demonstrate the high degree of selectivity and the robustness against static and dynamic control field errors of this scheme. We exemplify our protocol with an NV center-based sensor to demonstrate that it enables the identification of individual nuclear spins that form part of a large spin ensemble.
Robust, 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust, High-Throughput Analysis of Protein Structures Print Scientists have developed a fast and
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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust, High-Throughput Analysis of Protein Structures Print Scientists have developed a fast
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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust, High-Throughput Analysis of Protein Structures Print Scientists have developed a
Robust, Multifunctional Joint for Large Scale Power Production Stacks -
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Robust emergent climate phenomena associated with the high-sensitivity
Office of Scientific and Technical Information (OSTI)
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Robust optimization methods for cardiac sparing in tangential breast IMRT
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AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail. (Conference) | SciTech Connect Robust emergent climate phenomenaArticle)
Robust, High-Throughput Analysis of Protein Structures
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Stretching the limits of forming processes by robust optimization: A demonstrator
Wiebenga, J. H. [Materials innovation institute (M2i), P.O. Box 5008, 2600 GA, Delft (Netherlands); Atzema, E. H. [Tata Steel, P.O. Box 10000, 1970 CA, IJmuiden (Netherlands); Boogaard, A. H. van den [University of Twente, Faculty of Engineering Technology, P.O. Box 217, 7500 AE, Enschede (Netherlands)
2013-12-16
Robust design of forming processes using numerical simulations is gaining attention throughout the industry. In this work, it is demonstrated how robust optimization can assist in further stretching the limits of metal forming processes. A deterministic and a robust optimization study are performed, considering a stretch-drawing process of a hemispherical cup product. For the robust optimization study, both the effect of material and process scatter are taken into account. For quantifying the material scatter, samples of 41 coils of a drawing quality forming steel have been collected. The stochastic material behavior is obtained by a hybrid approach, combining mechanical testing and texture analysis, and efficiently implemented in a metamodel based optimization strategy. The deterministic and robust optimization results are subsequently presented and compared, demonstrating an increased process robustness and decreased number of product rejects by application of the robust optimization approach.
On the robust optimization to the uncertain vaccination strategy problem
Chaerani, D., E-mail: d.chaerani@unpad.ac.id; Anggriani, N., E-mail: d.chaerani@unpad.ac.id; Firdaniza, E-mail: d.chaerani@unpad.ac.id [Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Padjadjaran Indonesia, Jalan Raya Bandung Sumedang KM 21 Jatinangor Sumedang 45363 (Indonesia)
2014-02-21
In order to prevent an epidemic of infectious diseases, the vaccination coverage needs to be minimized and also the basic reproduction number needs to be maintained below 1. This means that as we get the vaccination coverage as minimum as possible, thus we need to prevent the epidemic to a small number of people who already get infected. In this paper, we discuss the case of vaccination strategy in term of minimizing vaccination coverage, when the basic reproduction number is assumed as an uncertain parameter that lies between 0 and 1. We refer to the linear optimization model for vaccination strategy that propose by Becker and Starrzak (see [2]). Assuming that there is parameter uncertainty involved, we can see Tanner et al (see [9]) who propose the optimal solution of the problem using stochastic programming. In this paper we discuss an alternative way of optimizing the uncertain vaccination strategy using Robust Optimization (see [3]). In this approach we assume that the parameter uncertainty lies within an ellipsoidal uncertainty set such that we can claim that the obtained result will be achieved in a polynomial time algorithm (as it is guaranteed by the RO methodology). The robust counterpart model is presented.
Fabrics coated with lubricated nanostructures display robust omniphobicity
Shillingford, Cicely; MacCallum, Noah; Wong, Tak -Sing; Kim, Philseok; Aizenberg, Joanna
2013-12-11
The development of a stain-resistant and pressure-stable textile is desirable for consumer and industrial applications alike, yet it remains a challenge that current technologies have been unable to fully address. Traditional superhydrophobic surfaces, inspired by the lotus plant, are characterized by two main components: hydrophobic chemical functionalization and surface roughness. While this approach produces water-resistant surfaces, these materials have critical weaknesses that hinder their practical utility, in particular as robust stain-free fabrics. For example, traditional superhydrophobic surfaces fail (i.e., become stained) when exposed to low-surface-tension liquids, under pressure when impacted by a high-velocity stream of water (e.g., rain), and when exposed to physical forces such as abrasion and twisting. We have recently introduced slippery lubricant-infused porous surfaces (SLIPS), a self-healing, pressure-tolerant and omniphobic surface, to address these issues. However we present the rational design and optimization of nanostructured lubricant-infused fabrics and demonstrate markedly improved performance over traditional superhydrophobic textile treatments: SLIPS-functionalized cotton and polyester fabrics exhibit decreased contact angle hysteresis and sliding angles, omni-repellent properties against various fluids including polar and nonpolar liquids, pressure tolerance and mechanical robustness, all of which are not readily achievable with the state-of-the-art superhydrophobic coatings.
Fabrics coated with lubricated nanostructures display robust omniphobicity
Shillingford, C; MacCallum, N; Wong, TS; Kim, P; Aizenberg, J
2013-12-11
The development of a stain-resistant and pressure-stable textile is desirable for consumer and industrial applications alike, yet it remains a challenge that current technologies have been unable to fully address. Traditional superhydrophobic surfaces, inspired by the lotus plant, are characterized by two main components: hydrophobic chemical functionalization and surface roughness. While this approach produces water-resistant surfaces, these materials have critical weaknesses that hinder their practical utility, in particular as robust stain-free fabrics. For example, traditional superhydrophobic surfaces fail (i.e., become stained) when exposed to low-surface-tension liquids, under pressure when impacted by a high-velocity stream of water (e. g., rain), and when exposed to physical forces such as abrasion and twisting. We have recently introduced slippery lubricant-infused porous surfaces (SLIPS), a self-healing, pressure-tolerant and omniphobic surface, to address these issues. Herein we present the rational design and optimization of nanostructured lubricant-infused fabrics and demonstrate markedly improved performance over traditional superhydrophobic textile treatments: SLIPS-functionalized cotton and polyester fabrics exhibit decreased contact angle hysteresis and sliding angles, omni-repellent properties against various fluids including polar and nonpolar liquids, pressure tolerance and mechanical robustness, all of which are not readily achievable with the state-of-the-art superhydrophobic coatings.
Fabrics coated with lubricated nanostructures display robust omniphobicity
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Shillingford, Cicely; MacCallum, Noah; Wong, Tak -Sing; Kim, Philseok; Aizenberg, Joanna
2013-12-11
The development of a stain-resistant and pressure-stable textile is desirable for consumer and industrial applications alike, yet it remains a challenge that current technologies have been unable to fully address. Traditional superhydrophobic surfaces, inspired by the lotus plant, are characterized by two main components: hydrophobic chemical functionalization and surface roughness. While this approach produces water-resistant surfaces, these materials have critical weaknesses that hinder their practical utility, in particular as robust stain-free fabrics. For example, traditional superhydrophobic surfaces fail (i.e., become stained) when exposed to low-surface-tension liquids, under pressure when impacted by a high-velocity stream of water (e.g., rain), and whenmore »exposed to physical forces such as abrasion and twisting. We have recently introduced slippery lubricant-infused porous surfaces (SLIPS), a self-healing, pressure-tolerant and omniphobic surface, to address these issues. However we present the rational design and optimization of nanostructured lubricant-infused fabrics and demonstrate markedly improved performance over traditional superhydrophobic textile treatments: SLIPS-functionalized cotton and polyester fabrics exhibit decreased contact angle hysteresis and sliding angles, omni-repellent properties against various fluids including polar and nonpolar liquids, pressure tolerance and mechanical robustness, all of which are not readily achievable with the state-of-the-art superhydrophobic coatings.« less
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)
2005-02-01
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
2005-10-06
We constrain the possibility of a non-trivial refractive index in free space corresponding to an energy-dependent velocity of light: c(E) \\simeq c_0 (1 - E/M), where M is a mass scale that might represent effect of quantum-gravitational space-time foam, using the arrival times of sharp features observed in the intensities of radiation with different energies from a large sample of gamma-ray bursters (GRBs) with known redshifts. We use wavelet techniques to identify genuine features, which we confirm in simulations with artificial added noise. Using the weighted averages of the time-lags calculated using correlated features in all the GRB light curves, we find a systematic tendency for more energetic photons to arrive earlier. However, there is a very strong correlation between the parameters characterizing an intrinsic time-lag at the source and a distance-dependent propagation effect. Moreover, the significance of the earlier arrival times is less evident for a subsample of more robust spectral structures. Allowing for intrinsic stochastic time-lags in these features, we establish a statistically robust lower limit: M > 0.9x10^{16} GeV on the scale of violation of Lorentz invariance.
Robust Machine Learning Applied to Terascale Astronomical Datasets
Nicholas M. Ball; Robert J. Brunner; Adam D. Myers
2007-10-24
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.
Robust linear regression with broad distributions of errors
Postnikov, Eugene B
2015-01-01
We consider the problem of linear fitting of noisy data in the case of broad (say $\\alpha$-stable) distributions of random impacts ("noise"), which can lack even the first moment. This situation, common in statistical physics of small systems, in Earth sciences, in network science or in econophysics, does not allow for application of conventional Gaussian maximum-likelihood estimators resulting in usual least-squares fits. Such fits lead to large deviations of fitted parameters from their true values due to the presence of outliers. The approaches discussed here aim onto the minimization of the width of the distribution of residua. The corresponding width of the distribution can either be defined via the interquantile distance of the corresponding distributions or via the scale parameter in its characteristic function. The methods provide the robust regression even in the case of short samples with large outliers, and are equivalent to the normal least squares fit for the Gaussian noises. Our discussion is il...
Hierarchical structures for a robustness-oriented capacity design
Enrico Masoero; Falk K. Wittel; Hans J. Herrmann; B. M. Chiaia
2015-09-07
In this paper, we study the response of 2D framed structures made of rectangular cells, to the sudden removal of columns. We employ a simulation algorithm based on the Discrete Element Method, where the structural elements are represented by elasto-plastic Euler Bernoulli beams with elongation-rotation failure threshold. The effect of structural cell slenderness and of topological hierarchy on the dynamic residual strength after damage $\\ROne$ is investigated. Topologically \\textit{hierarchical} frames have a primary structure made of few massive elements, while \\textit{homogeneous} frames are made of many thin elements. We also show how $\\ROne$ depends on the activated collapse mechanisms, which are determined by the mechanical hierarchy between beams and columns, i.e. by their relative strength and stiffness. Finally, principles of robustness-oriented capacity design which seem to be in contrast to the conventional anti-seismic capacity design are addressed.
Demonstration of Robust Quantum Gate Tomography via Randomized Benchmarking
Blake R. Johnson; Marcus P. da Silva; Colm A. Ryan; Shelby Kimmel; Jerry M. Chow; Thomas A. Ohki
2015-05-25
Typical quantum gate tomography protocols struggle with a self-consistency problem: the gate operation cannot be reconstructed without knowledge of the initial state and final measurement, but such knowledge cannot be obtained without well-characterized gates. A recently proposed technique, known as randomized benchmarking tomography (RBT), sidesteps this self-consistency problem by designing experiments to be insensitive to preparation and measurement imperfections. We implement this proposal in a superconducting qubit system, using a number of experimental improvements including implementing each of the elements of the Clifford group in single `atomic' pulses and custom control hardware to enable large overhead protocols. We show a robust reconstruction of several single-qubit quantum gates, including a unitary outside the Clifford group. We demonstrate that RBT yields physical gate reconstructions that are consistent with fidelities obtained by randomized benchmarking.
Robust Reconstruction of Complex Networks from Sparse Data
Han, Xiao; Wang, Wen-Xu; Di, Zengru
2015-01-01
Reconstructing complex networks from measurable data is a fundamental problem for understanding and controlling collective dynamics of complex networked systems. However, a significant challenge arises when we attempt to decode structural information hidden in limited amounts of data accompanied by noise and in the presence of inaccessible nodes. Here, we develop a general framework for robust reconstruction of complex networks from sparse and noisy data. Specifically, we decompose the task of reconstructing the whole network into recovering local structures centered at each node. Thus, the natural sparsity of complex networks ensures a conversion from the local structure reconstruction into a sparse signal reconstruction problem that can be addressed by using the lasso, a convex optimization method. We apply our method to evolutionary games, transportation and communication processes taking place in a variety of model and real complex networks, finding that universal high reconstruction accuracy can be achie...
Robust quantum control using smooth pulses and topological winding
Edwin Barnes; Xin Wang; S. Das Sarma
2015-08-04
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.
Robust light transport in non-Hermitian photonic lattices
Stefano Longhi; Davide Gatti; Giuseppe Della Valle
2015-07-24
Combating the effects of disorder on light transport in micro- and nano-integrated photonic devices is of major importance from both fundamental and applied viewpoints. In ordinary waveguides, imperfections and disorder cause unwanted back-reflections, which hinder large-scale optical integration. Topological photonic structures, a new class of optical systems inspired by quantum Hall effect and topological insulators, can realize robust transport via topologically-protected unidirectional edge modes. Such waveguides are realized by the introduction of synthetic gauge fields for photons in a two-dimensional structure, which break time reversal symmetry and enable one-way guiding at the edge of the medium. Here we suggest a different route toward robust transport of light in lower-dimensional (1D) photonic lattices, in which time reversal symmetry is broken because of the {\\it non-Hermitian} nature of transport. While a forward propagating mode in the lattice is amplified, the corresponding backward propagating mode is damped, thus resulting in an asymmetric transport that is rather insensitive to disorder or imperfections in the structure. Non-Hermitian transport in two lattice models is considered: a tight-binding lattice with an imaginary gauge field (Hatano-Nelson model), and a non-Hermitian driven binary lattice. In the former case transport in spite of disorder is ensured by a mobility edge that arises because of a non-Hermitian delocalization transition. The possibility to observe non-Hermitian delocalization induced by a synthetic 'imaginary' gauge field is suggested using an engineered coupled-resonator optical waveguide (CROW) structure.
Koopman, Philip
. This paper describes the Ballista methodology for scalable, portable, automated robustness testing
Robust optimization of metal forming processes using a metamodel-based strategy
Wiebenga, J. H.; Klaseboer, G.; Boogaard, A. H. van den
2011-05-04
Robustness, optimization and Finite Element (FE) simulations are of major importance for achieving better products and cost reductions in the metal forming industry. In this paper, a metamodel-based robust optimization strategy is proposed for metal forming processes. The applicability of the strategy is demonstrated by application to an analytical test function and an industrial V-bending process. The results of both applications underline the importance of including uncertainty and robustness explicitly in the optimization procedure.
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
An Exact Algorithm for Two-stage Robust Optimization with Mixed ...
2012-01-10
Robust unit commitment problem with demand response and wind energy. Technical report, available in optimization-online, University of South Florida, 2010.
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)
2013-04-15
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.
Robust activation method for negative electron affinity photocathodes
Mulhollan, Gregory A. (Dripping Springs, TX); Bierman, John C. (Austin, TX)
2011-09-13
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
2006-01-09
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.
Simple, Robust and Accurate Head-Pose Tracking Using a Single Camera
Ward, Koren
low-cost head-pose tracking system developed. Furthermore, our system is robust and re- quiresSimple, Robust and Accurate Head-Pose Tracking Using a Single Camera Simon Meers, Koren Ward of the head in real time is finding increasing application in avionics, virtual reality, augmented reality
Characterization of Robust Feedback Nash Equilibrium for Multi-Channel Systems
Gupta, Vijay
Characterization of Robust Feedback Nash Equilibrium for Multi-Channel Systems Getachew K. Befekadu the feedback Nash equilibria via a set of stabilizing state-feedback solutions corresponding to a family for the existence of a feedback Nash equilibrium, whereas the set of robust stabilizing state-feedback solutions
Increase of global monsoon area and precipitation under global warming: A robust signal?
Li, Tim
Increase of global monsoon area and precipitation under global warming: A robust signal? Pang future sea surface temperature (SST) warming patterns. The results show that the global monsoon area. Zhao (2012), Increase of global monsoon area and precipitation under global warming: A robust signal
Robust Regression Appendix to An R and S-PLUS Companion to Applied Regression
Masci, Frank
Robust Regression Appendix to An R and S-PLUS Companion to Applied Regression John Fox January 2002 regression, is to employ a fitting criterion that is not as vulnerable as least squares to unusual data. The most common general method of robust regression is M-estimation, introduced by Huber (1964).1 Consider
Kandler Smith, NREL EDV Battery Robust Design -1 Design of Electric Drive Vehicle
decomposition SEI formation = f(as, formation conditions) Mostly formed during first cycle of batteryKandler Smith, NREL EDV Battery Robust Design - 1 Design of Electric Drive Vehicle Batteries by the Alliance for Sustainable Energy, LLC. NREL/PR-5400-48933 #12;Kandler Smith, NREL EDV Battery Robust Design
A Robust Learning Algorithm Based on SURF and PSM for Facial Expression Recognition
Takiguchi, Tetsuya
A Robust Learning Algorithm Based on SURF and PSM for Facial Expression Recognition Jinhui Chen is based on the Perturbed Subspace Method (PSM), which is an effective way to improve the robustness of learning machines. First, PSM is used to extend the training data, which allows for the generation of ideal
A Methodology for Developing Simple and Robust Power Models Using Performance Monitoring Events
Fedorova, Alexandra
A Methodology for Developing Simple and Robust Power Models Using Performance Monitoring Events Kishore Kumar Pusukuri UC Riverside kishore@cs.ucr.edu David Vengerov Sun Microsystems Laboratories david.vengerov@sun a methodology for develop- ing simple and robust power models using performance monitoring events for AMD Quad
Robust Kernel Density Estimation by Scaling and Projection in Hilbert Space
Scott, Clayton
Robust Kernel Density Estimation by Scaling and Projection in Hilbert Space Robert A. Vandermeulen is not straightforward and is a topic we explore in this paper. To construct a robust KDE we scale the traditional KDE and project it to its nearest weighted KDE in the L2 norm. This yields a scaled and projected KDE (SPKDE
How robust is a neural circuit? PETER STERLING and MICHAEL FREED
Pennsylvania, University of
How robust is a neural circuit? PETER STERLING and MICHAEL FREED Department of Neuroscience! Abstract Design in engineering begins with the problem of robustness--by what factor should intrinsic to other tissues. Keywords: Retina, Circuitry, Information, Synapse, Spikes To design a bridge an engineer
Adaptive Robust Control: Theory and Applications to Integrated Design of Intelligent and Precision
Yao, Bin
Adaptive Robust Control: Theory and Applications to Integrated Design of Intelligent and Precision adaptive robust control (ARC) theory that has been developed recently well reflects such an intuitive Mechatronic Systems Bin Yao Intelligent and Precision Control Laboratory School of Mechanical Engineering
Coordinated Adaptive Robust Contour Tracking of Linear-Motor-Driven Tables in Task Space 1
Yao, Bin
Coordinated Adaptive Robust Contour Tracking of Linear-Motor-Driven Tables in Task Space 1 Li Xu tracking control of linear-motor-driven tables. The table dynamics is first transformed into a task coordinate frame. A discontinuous projection based adaptive robust controller (ARC) which explicitly takes
Towards Robust Multi-layer Traffic Engineering: Optimization of Congestion Control and Routing
Singh, Jaswinder Pal
Towards Robust Multi-layer Traffic Engineering: Optimization of Congestion Control and Routing. Keywords: Congestion control, Traffic Engineering, Network util- ity maximization, Optimization, Robustness, in a process known as traffic engineering. TCP congestion control assumes that the network paths do not change
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.S.A. Abstract This paper describes a fusion of visual and thermal infrared (IR) images for robust face recognition. Two types of fusion methods are discussed: data fusion and decision fusion. Data fusion produces
DroidAPIMiner: Mining API-Level Features for Robust Malware Detection in Android
Du, Wenliang "Kevin"
DroidAPIMiner: Mining API-Level Features for Robust Malware Detection in Android Yousra Aafer, USA {yaafer, wedu, heyin}@syr.edu Abstract. The increasing popularity of Android apps makes them enough. In this paper, we aim to mitigate Android malware installation through providing robust
Gómez de la Mora, Luz de Lourdes
2005-01-01
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 ...
Xie, Yao
and Robust Methods of Reconstruction (ARMOR) for Thermoacoustic Tomography Yao Xie*, Student Member, IEEE--In this paper, we present new adaptive and robust methods of reconstruction (ARMOR) for thermoacoustic tomog imaging, robustness. I. INTRODUCTION THERMOACOUSTIC tomography (TAT), the earliest in- vestigation
Energy-scales convergence for optimal and robust quantum transport in photosynthetic complexes
Shabani, A.
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 ...
Banaszuk, Andrzej; Frewen, Thomas A; Kobilarov, Marin; Mathew, George; Mezic, Igor; Pinto, Alessandro; Sahai, Tuhin; Sane, Harshad; Speranzon, Alberto; Surana, Amit
2011-01-01
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...
Achieving fault tolerance via robust partitioning and N-Modular Redundancy
O'Connell, Brendan Anthony
2007-01-01
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 ...
Title of Dissertation: CHARACTERIZATION OF QUANTUM EFFICIENCY AND ROBUSTNESS OF CESIUM-BASED
Anlage, Steven
ABSTRACT Title of Dissertation: CHARACTERIZATION OF QUANTUM EFFICIENCY AND ROBUSTNESS OF CESIUM efficiency photocathodes find their delicate cesium-based coatings inexorably lost. In answer, the work herein presents careful, focused studies on cesium-based photocathodes, particularly motivated
Oil and Gas CDT Downscaling-Upscaling: A Robust Method of Linking
Henderson, Gideon
Oil and Gas CDT Downscaling-Upscaling: A Robust Method of Linking Geomechanical Simulations and Fluid Flow Simulations Heriot-Watt University, Institute of Petroleum Engineering Supervisory Team Prof Geomechanical simulation; fractures; strain; flow upscaling Overview Geomechanical simulations of trap
Supplemental Information for: The endo-siRNA Pathway is Required for Robust Patterning
Ismagilov, Rustem F.
1 Supplemental Information for: The endo-siRNA Pathway is Required for Robust Patterning During, Evanston, Illinois 60208, USA #12;2 Supplemental Figures: Figure S1. Expression pattern of Even
A robust motion planning approach for autonomous driving in urban areas
Fiore, Gaston A
2008-01-01
This thesis presents an improved sampling-based motion planning algorithm, Robust RRT, that is designed specifically for large robotic vehicles and uncertain, dynamic environments. Five main extensions have been made to ...
Robust Object Tracking via Sparsity-based Collaborative Model Dalian University of Technology
Yang, Ming-Hsuan
Robust Object Tracking via Sparsity-based Collaborative Model Wei Zhong Dalian University of Technology zhongwei@mail.dlut.edu.cn Huchuan Lu Dalian University of Technology lhchuan@dlut.edu.cn Ming
Environmental Kuznets Curve for carbon dioxide emissions: lack of robustness to heterogeneity?
Paris-Sud XI, Université de
1 Environmental Kuznets Curve for carbon dioxide emissions: lack of robustness to heterogeneity applying the iterative Bayesian shrinkage procedure. The environmental Kuznets curve (EKC) hypothesis. Keywords: Environmental Kuznets curve; Bayesian shrinkage estimator; Heterogeneity JEL classification: O13
CMU/ICES Technical Report #01-27-98 Automatic Robustness Testing of
Koopman, Philip
was supported under DARPA contract DABT63-96-C-0064 (the Ballista project) and ONR contract N00014 be simple, automated, and fast. It was with these goals in mind that the Ballista approach to robustness
Molecular cancer classification using an meta-sample-based regularized robust coding method
Wang, Shu-Lin; Sun, Liuchao; Fang, Jianwen
2014-12-03
, its efficiency needs to be improved when analyzing large-scale GEP data. Results In this paper we present the meta-sample-based regularized robust coding classification (MRRCC), a novel effective cancer classification technique that combines the idea...
Robustness of interdependent networks: The case of communication networks and the power grid
Parandehgheibi, Marzieh
We study the robustness of interdependent networks, in which the state of one network depends on the state of the other network and vice versa. In particular, we focus on the interdependency between the power grid and ...
Applications of stochastic inventory control in market-making and robust supply chains
Song, Miao, Ph. D. Massachusetts Institute of Technology
2010-01-01
This dissertation extends the classical inventory control model to address stochastic inventory control problems raised in market-making and robust supply chains. In the financial market, market-makers assume the role of ...
Eustice, Ryan
the navigation of subsea vehicles (clients), which is robust to the packet loss and low-bandwidth that is endemic and bearing of a subsea vehicle, but are similarly limited in scalability. The use of synchronous
L2-Gain Optimization for Robust Bipedal Walking on Unknown Terrain Hongkai Dai and Russ Tedrake
Tedrake, Russ
control analysis and design methodologies without additional machinery. We attempt to provide that machinery here. In particular, we quantify the robustness of the system to terrain perturbations by defining
Robust Regression Dong Huang, Ricardo Cabral and Fernando De la Torre
Robust Regression Dong Huang, Ricardo Cabral and Fernando De la Torre Robotics Institute, Carnegie represents the jth column of the matrix D. Non-bold letters #12;2 Dong Huang, Ricardo Cabral and Fernando De
Harth, Eva M.
platforms for the fabrication of nanostruc- tured devices for advanced storage and microelec- tronicCovalent Stabilization of Nanostructures: Robust Block Copolymer Templates from Novel, crosslinked nanostructure with greater processing and fabrication potential. © 2005 Wiley Periodicals, Inc. J
Robust stabilizer synthesis for interval plants using H-Infinity methods
Bhattacharya, Saikat
1993-01-01
OF SCIENCE August 1993 Major Subject: Electrical Engineering ROBUST STABILIZER SYNTHESIS FOR INTERVAL PLANTS USING H-INFINITY METHODS A Thesis by SAIKAT BHATTACHARYA Approved as to style and content by: S. P. Bhattacharyya (Chair of Committee) J. W.... (Hons. ), Indian Institute of Technology, Khsragpur, India Chair of Advisory Committee: Dr. S. P. Bhattacharyya The aim of this research has been to develop a synthesis method for the robust stabilization of interval plants. First, the biggest...
Hafstein, SigurÃ°ur Freyr
Functions by Linear Programming Computing Lo Computation of Local ISS Lyapunov Function Via Linear Functions 3 Computing Local Robust Lyapunov Functions by Linear Programming 4 Computing Local ISS Lyapunov Functions by Linear Programming 5 Example 6 Conclusion and Future Works #12;Introduction Relationship
State Renewable Energy Requirements and Goals: Update Through 2007 (Update) (released in AEO2008)
Reports and Publications (EIA)
2008-01-01
In recent years, the Annual Energy Outlook (AEO) has tracked the growing number of states that have adopted requirements or goals for renewable energy. While there is no federal renewable generation mandate, the states have been adopting such standards for some time. AEO2005 provided a summary of all existing programs in effect at that time, and subsequent AEOs have examined new policies or changes to existing ones. Since the publication of AEO2007, four states have enacted new renewable portfolio standards (RPS) legislation, and five others have strengthened their existing RPS programs. In total, 25 states and the District of Columbia.
Efficient Computation of Info-Gap Robustness for Finite Element Models
Stull, Christopher J.; Hemez, Francois M.; Williams, Brian J.
2012-07-05
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.
Assessment And Testing of Industrial Devices Robustness Against Cyber Security Attacks
Tilaro, F
2011-01-01
CERN (European Organization for Nuclear Research),like any organization, needs to achieve the conflicting objectives of connecting its operational network to Internet while at the same time keeping its industrial control systems secure from external and internal cyber attacks. With this in mind, the ISA-99[0F1] international cyber security standard has been adopted at CERN as a reference model to define a set of guidelines and security robustness criteria applicable to any network device. Devices robustness represents a key link in the defense-in-depth concept as some attacks will inevitably penetrate security boundaries and thus require further protection measures. When assessing the cyber security robustness of devices we have singled out control system-relevant attack patterns derived from the well-known CAPEC[1F2] classification. Once a vulnerability is identified, it needs to be documented, prioritized and reproduced at will in a dedicated test environment for debugging purposes. CERN - in collaboration ...
Nagata, Motoki; Fujiwara, Naoya; Tanaka, Gouhei; Suzuki, Hideyuki; Aihara, Kazuyuki
2015-01-01
In this paper, we show that spatial correlation of renewable energy outputs greatly influences the robustness of power grids. First, we propose a new index for the spatial correlation among renewable energy outputs. We find that the spatial correlation of renewable energy outputs in a short time-scale is as weak as that caused by independent random variables and that in a long time-scale is as strong as that under perfect synchronization. Then, by employing the topology of the power grid in eastern Japan, we analyze the robustness of the power grid with spatial correlation of renewable energy outputs. The analysis is performed by using a realistic differential-algebraic equations model and the result shows that the spatial correlation of the energy resources strongly degrades the robustness of the power grid. Our result suggests that the spatial correlation of the renewable energy outputs should be taken into account when estimating the stability of power grids.
Mechanically robust, electrically conductive ultralow-density carbon nanotube-based aerogels
Worsley, Marcus A; Baumann, Theodore F; Satcher, Jr., Joe H
2014-04-01
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.
A robust and well shielded thermal conductivity device for low temperature measurements
Toews, W. H.; Hill, R. W.
2014-04-15
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.
Lawless, William F.
2013-01-01
2012, 11/23), "Egypt's President solidifies power", wsj.com.power to dampen signals of robustness from opponents, beginning anew in Egypt;
Broader source: Energy.gov [DOE]
Presentation given by Los Alamos National Laboratory at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about robust...
Broader source: Energy.gov [DOE]
Presentation given by Los Alamos National Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about robust...
A Mesh-based Robust Topology Discovery Algorithm for Hybrid Wireless Networks
Birman, Kenneth P.
A Mesh-based Robust Topology Discovery Algorithm for Hybrid Wireless Networks Ranveer CHANDRA¢ @research.att.com Abstract Wireless networks in home, office and sensor applications consist of nodes by a wireline network. Topology information of the wireless network at these powerful nodes can be used
Noise robustness in the detection of non separable random unitary maps
C. Macchiavello; M. Rossi
2013-10-30
We briefly review a recently proposed method to detect properties of quantum noise processes and quantum channels. We illustrate in detail the method for detecting non separable random unitary channels and consider in particular the explicit examples of the CNOT and CZ gates. We analyse their robustness in the presence of noise for several quantum noise models.
Adaptive Flow Aggregation -A New Solution for Robust Flow Monitoring under Security Attacks
Lui, John C.S.
Adaptive Flow Aggregation - A New Solution for Robust Flow Monitoring under Security Attacks Yan Hu.S. Lui Dept. of CSE Chinese University of Hong Kong Email: cslui@cse.cuhk.edu.hk Abstract-- Flow the resources (memory, export bandwidth or CPU) of the flow monitor. A standard solution is to do sampling (look
Robust Implementation of Distributed Algorithms for Control of Distributed Energy Resources
Liberzon, Daniel
Robust Implementation of Distributed Algorithms for Control of Distributed Energy Resources Stanton be used to enable the utilization of distributed energy resources for the provision of grid support acknowledged that distributed energy resources (DERs) have the potential to provide ancillary services
The robust single machine scheduling problem with uncertain release and processing times
Bierlaire, Michel
of Architecture, Civil and Environmental Engineer- ing (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), CH Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA, alerera@isye.gatech.edu 1 #12 feasibility. A robust schedule is an a priori schedule which maintains high system performance in the presence
Daume III, Hal
Robust RVM Regression Using Sparse Outlier Model Kaushik Mitra, Ashok Veeraraghavan* and Rama, vashok, rama}@umiacs.umd.edu Abstract Kernel regression techniques such as Relevance Vector Machine (RVM) regression, Support Vector Regression and Gaussian processes are widely used for solving many com- puter
Effects of Regulated River Flows on Habitat Suitability for the Robust Redhorse
Kwak, Thomas J.
, with wild populations occurring in three drainages from North Carolina to Georgia. Hydroelectric dams have Robust Redhorse habitat was recently prescribed for Blewett Falls Dam, a hydroelectric facility frag- mentation as a result of hydroelectric dams (Warren et al. 1997, 2000; Ricciardi and Rasmussen
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
Williams, Brian C.
, individual chance constraints in a racing car path planning problem mean the limit of the probability of having the race car crash into a wall in each time instant. On the other hand, a joint chance constraint and financial engineering to unmanned aerial vehicle path planning. Robustness against uncertainty
On the Potential for Robust ASR with Combined Subband-Waveform and Cepstral Features
Sollich, Peter
the experiments conducted by Fletcher [15], which suggest that the human decodin classifiers using ensemble methods are addressed. Experiments demonstrate the benefits of the classification. Humans, on the other hand, exhibit a very robust behavior in recognizing speech even in extremely adverse
CALiPER Report 20.3: Robustness of LED PAR38 Lamps
none,
2014-12-30
A small sample of each of the CALiPER Application Summary Report 20 PAR38 lamp types underwent stress testing that included substantial temperature and humidity changes, electrical variation, and vibration. The results do not directly address expected lifetime, but can be compared with one another, as well as with benchmark conventional products, to assess the relative robustness of the product designs.
ROBUST AND UNBIASED FOREGROUND / BACKGROUND ENERGY FOR MULTI-VIEW STEREO
Wong, Kenneth K.Y.
maps even in the absence of the photo-consistency energy. To the best of our #12;knowledgeROBUST AND UNBIASED FOREGROUND / BACKGROUND ENERGY FOR MULTI-VIEW STEREO Zhihu Chen and Kwan-Yee K@cs.hku.hk, kykwong@cs.hku.hk Keywords: Multi-View Stereo, Photo-Consistency Energy, Foreground / Background Energy
PLATO Power--a robust, low environmental impact power generation system for the Antarctic plateau
Ashley, Michael C. B.
PLATO Power--a robust, low environmental impact power generation system for the Antarctic plateau the power generation and management system of PLATO. Two redundant arrays of solar panels and a multiply astronomical facilities on the Antarctic plateau, offering minimum environmental impact and requiring minimal
NREL 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
Seshia, Sanjit A.
Robust Strategy Synthesis for Probabilistic Systems Applied to Risk-Limiting Renewable-Energy pricing and dispatch strategies in smart grids that integrate re- newable sources of energy. We use}@eecs.berkeley.edu ABSTRACT We address the problem of synthesizing control strategies for El- lipsoidal Markov Decision
Robust 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 developments have been introduced within the field of oil recovery, with the aim to maximize production of oil wells", which are equipped with control valves to actively control the oil production. The optimal
Supporting Online Material for Robust design and optimization of retro-aldol enzymes
Herschlag, Dan
1 Supporting Online Material for Robust design and optimization of retro-aldol enzymes Eric, Sanjay Hari, Peter Kast, Donald Hilvert, Daniel Herschlag, David Baker Part I: Materials and Methods 1. Computational design methodology p. 3 2. Experimental active site optimization 2a. Optimization of the retro
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
Fault-Adaptive Control for Robust Performance Management of Computing Systems
Abdelwahed, Sherif
Fault-Adaptive Control for Robust Performance Management of Computing Systems Sherif Abdelwahed is traced back to current state and the initial step is selected. · Future computing systems will typically, transportation, and command and control systems. To cope with the complexity expected of future computing
ROBUST REAL-TIME EGOMOTION FROM STEREO IMAGES Louis-Philippe Morency
Darrell, Trevor
constraint. As shown in Figure 1, both registration techniques share the same iterative frame- workROBUST REAL-TIME EGOMOTION FROM STEREO IMAGES Louis-Philippe Morency Artificial Intelligence camera displacement using stereo images. The rela- tive transformation between two stereo image pairs
A nonlinear robust HVDC control for a parallel AC/DC power system
Qu, Zhihua
recognized that, through an HVDC transmission line, fast electronic control can be applied on the DC power, controlling DC line transmission power can improve stability of the AC system after a major disturbanceA nonlinear robust HVDC control for a parallel AC/DC power system Hongzhi Cai a , Zhihua Qu b
Chen, Tsuhan
in CTP performed at low radiation dose. We first build a dictionary from high-dose perfusion maps usingTowards robust deconvolution of low-dose perfusion CT: Sparse perfusion deconvolution using online maps of blood flow tend to be noisy, especially in low-dose CTP, due to the noisy contrast enhancement
Robust processing of optical flow of fluids Ashish Doshi and Adrian G. Bors, Senior Member, IEEE
Bors, Adrian
to the change of illumination, image noise and the perspective projection when representing a 3-D scene in a 2-D1 Robust processing of optical flow of fluids Ashish Doshi and Adrian G. Bors, Senior Member, IEEE changing patterns which poses chal- lenges to existing optical flow estimation methods. The proposed
Signal Processing 86 (2006) 31963211 Robust wireless video multicast based on a distributed source
Tagliasacchi, Marco
2006-01-01
. The proposed solution is based on recently proposed PRISM (power efficient robust syndrome-based multimedia. Examples of such applications include broadcasting TV channels to cellphones, users sharing video content with others with their PDAs/cellphones, etc. Naturally, in a broadcast setting, each receiving device has its
A Robust Learning Framework Using PSM and Ameliorated SVMs for Emotional Recognition
Takiguchi, Tetsuya
A Robust Learning Framework Using PSM and Ameliorated SVMs for Emotional Recognition Jinhui Chen points. First, the measure of the sam- ples normalization is based on the Perturbed Subspace Method (PSM of learning machines. First, PSM is used to extend the training data, which allows for the generation of ideal
CX: A Scalable, Robust Network for Parallel Peter Cappello and Dimitrios Mourloukos
Cappello, Peter
CX: A Scalable, Robust Network for Parallel Computing Peter Cappello and Dimitrios Mourloukos}@cs.ucsb.edu telephone: 805.893.4383; fax: 805.893.853 Abstract CX, a network-based computational exchange, is presented "diffusion" process. CX is intended as a test bed for research on automated silent auctions, reputation
CX: A Scalable, Robust Network for Parallel Peter Cappello and Dimitris Mourloukos
Cappello, Peter
CX: A Scalable, Robust Network for Parallel Computing Peter Cappello and Dimitris Mourloukos}@cs.ucsb.edu Abstract CX, a network-based computational exchange, is presented. The sys- tem's design integrates failures. Tasks are distributed throughout the server network via a simple "diffusion" process. CX
CX: A Scalable, Robust Network for Parallel Peter Cappello and Dimitris Mourloukos
Cappello, Peter
CX: A Scalable, Robust Network for Parallel Computing Peter Cappello and Dimitris Mourloukos}@cs.ucsb.edu Abstract CX, a networkÂbased computational exchange, is presented. The sysÂ tem's design integrates failures. Tasks are distributed throughout the server network via a simple ``di#usion'' process. CX
CX: A Scalable, Robust Network for Parallel Peter Cappello and Dimitrios Mourloukos
Cappello, Peter
CX: A Scalable, Robust Network for Parallel Computing Peter Cappello and Dimitrios Mourloukos}@cs.ucsb.edu telephone: 805.893.4383; fax: 805.893.853 Abstract CX, a networkÂbased computational exchange, is presented#usion'' process. CX is intended as a test bed for research on automated silent auctions, reputation services
A robust and scalable microfluidic metering method that allows protein crystal growth by free
Quake, Stephen R.
A robust and scalable microfluidic metering method that allows protein crystal growth by free in a microfluidic device is a challenging problem. We developed a scheme for metering fluids on the picoliter scale fluid. We demonstrated the power of this method by fabricating and testing a microfluidic chip for rapid
Exploiting Hidden Convexity For Flexible And Robust Resource Allocation In Cellular Networks
Tan, Chee Wei
transmission in a CDMA cellular network, we propose an optimal power control scheme with congestionExploiting Hidden Convexity For Flexible And Robust Resource Allocation In Cellular Networks Chee of the SIR-balancing power algorithm is optimized. I. INTRODUCTION A. Motivation Data transmission
The robustness of the emergent scaling property of random RC network models of complex
Scheichl, Robert
the many challenges ahead. In coming years advanced energy technologies will require new materials and engineering. New materials have to be designed with tailor-made properties to suit a host of demands and meetThe robustness of the emergent scaling property of random RC network models of complex materials N
EVOLUTION SEMIGROUPS AND ROBUST STABILITY OF EVOLUTION OPERATORS ON BANACH SPACES
EVOLUTION SEMIGROUPS AND ROBUST STABILITY OF EVOLUTION OPERATORS ON BANACH SPACES Y. LATUSHKIN, S. MONTGOMERYÂSMITH, AND T. RANDOLPH Abstract. Using the theory of evolution semigroups, this paper investigatesÂmapping theoÂ rem for evolution semigroups acting on vectorÂvalued functions on [0; 1) is proven first
arXiv:chao-dyn/9803001v12Mar1998 Robust Chaos
Maryland at College Park, University of
to demonstrate robust chaos. The circuit shown in Fig.1 is known as the boost converter. It consists of a con boost converter "current-mode control". In this control logic, the switch is turned on by clock pulses voltage together "boosts" the output voltage to a value higher than the input voltage. Such circuits
Designing an Accurate and Robust LC-Compliant Asynchronous Boost DCDC Converter
Rincon-Mora, Gabriel A.
Designing an Accurate and Robust LC-Compliant Asynchronous Boost DCDC Converter Neeraj Keskar in buck converters, little has been done in boosting applications. This paper presents an asynchronous boost converter and describes how LC variations affect stability, steady-state error, and switching
Robust Estimation and Outlier Detection for Overdispersed Multinomial Models of Count Data
Sekhon, Jasjeet S.
Robust Estimation and Outlier Detection for Overdispersed Multinomial Models of Count Data Walter R research on labor rela- tions (Card 1990), the relationship between patents and R&D (Hausman, Hall counts in political science includes studies of child care services (Bratton and Ray 2002), gender
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
Marquez, Horacio J.
2007-01-01
systems with application to an industrial utility boiler Adarsha SwarnakarÃ, Horacio Jose Marquez, Tongwen increases. The controller concept is then evaluated on a natural circulation drum boiler (utility boiler applications; Output feedback; Nonlinear systems; Boiler systems; Control applications; Robustness 1
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 improve humidity resistance in CIGS solar cells. Key Result This new method yields increased product
Schindler, Konrad
IEEE TRANSACTIONS ON IMAGE PROCESSING -- ACCEPTED MANUSCRIPT 1 Interacting Geometric Priors For Robust Multi-Model Fitting Trung T. Pham, Student Member, IEEE, Tat-Jun Chin, Member, IEEE, Konrad Schindler, Senior Member, IEEE and David Suter Abstract--Recent works on multi-model fitting are often for
Robust and flexible power-proportional storage Hrishikesh Amur, James Cipar, Varun Gupta
Robust and flexible power-proportional storage Hrishikesh Amur, James Cipar, Varun Gupta Gregory R-3890 Abstract Power-proportional cluster-based storage is an important component of an overall cloud computing infrastructure. With it, substan- tial subsets of nodes in the storage cluster can be turned off to save power
Reverse engineering gene networks using singular value decomposition and robust regression
Babu, M. Madan
Reverse engineering gene networks using singular value decomposition and robust regression M. K Engineering, Boston University, Boston, MA 02215 Edited by Charles S. Peskin, New York University, Hartsdale, NY, and approved March 13, 2002 (received for review October 29, 2001) We propose a scheme to reverse-engineer
Robust real-time optimization for the linear oil blending Stefan Janaqia
Paris-Sud XI, Université de
blending process. The blending process consists in determining the optimal mix of components so. The feedback is based on measures of the blends' and components' properties gathered by online analyzers1 Robust real-time optimization for the linear oil blending Stefan Janaqia , Jorge Aguileraa
Robust Beamforming for OFDM Modulated Two-Way MIMO Relay Network
Zhou, Jianwei
2012-07-16
in this TWRN is amplify-and-forward (AF) based analog network coding (ANC). A robust beamforming matrix optimization algorithm is presented here with the objective to minimize the transmit power at the relay node under given signal to interference and noise...
Paris-Sud XI, Université de
Robust damage assessment of multiple cracks based on the Frequency Response Function a damage assessment technique for the non destructive detection and sizing of multiple open cracks in beams, many researchers have performed extensive investigations and damage assess- ment techniques based
Criteria for Suitable Spawning Habitat for the Robust Redhorse Moxostoma robustum
Radcliffe, David
populations persist in rivers with flows influenced by hydropower dams. The robust redhorse is uncommon. Potential loss of suitable habitat as a result of hydrologic alteration, especially for life history stages considered having the narrowest habitat requirements, is a primary management concern. Evaluating potential
Robust Resource Allocation in Weather Data Processing Systems Mohana Oltikar1
Maciejewski, Anthony A. "Tony"
operation of space-based weather monitoring systems. This work defines a heterogeneous weather dataRobust Resource Allocation in Weather Data Processing Systems Mohana Oltikar1 , Jeff Brateman3@jrmartin.com Abstract Reliability of weather data processing systems is of prime importance to ensure the efficient
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS (TO APPEAR) 1 Robust Smart-Grid Powered
Giannakis, Georgios
, Fellow, IEEE, and Shuyan Hu Abstract--A framework is introduced to integrate renewable energy sources to minimize the worst-case energy cost subject to the worst- case user QoS guarantees for the CoMP downlink Terms--Smart grid, renewable energy, downlink beam- forming, CoMP systems, robust optimization
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 and Magnus Egerstedt Abstract-- In this paper, we investigate randomly deployed wireless sensor networks
Sharkey, Amanda
Acoustic Emission, Cylinder Pressure and Vibration: A Multisensor Approach to Robust Fault in the ensuing cylinder pressure traces, acoustic emission and vibration signals. In this paper, we explore the idea of exploiting information detected by pressure, vibration and acoustic emission sensors in order
Robust Quality Management for Differentiated Imprecise Data Services Mehdi Amirijoo, Jorgen Hansson
Robust Quality Management for Differentiated Imprecise Data Services Mehdi Amirijoo, J knowledge of the workload. In this paper we propose an approach, based on feedback control, for manag- ing-0208758, and ISIS (Information Systems for Indus- trial Control and Supervision). data needs
ROBUST HASH FOR DETECTING AND LOCALIZING IMAGE TAMPERING Sujoy Roy Qibin Sun
Sun, Qibin
ROBUST HASH FOR DETECTING AND LOCALIZING IMAGE TAMPERING Sujoy Roy Qibin Sun Institute for Infocomm operations and (2) sensitive to illegal manipulations (like image tamper- ing) and distinct queries. Although, primarily the issue of localizing tampering. This is primarily because of the difficulty in meeting two
Optimally robust shortcuts to population inversion in two-level quantum systems
A. Ruschhaupt; Xi Chen; D. Alonso; J. G. Muga
2012-06-08
We examine the stability versus different types of perturbations of recently proposed shortcuts-to-adiabaticity to speed up the population inversion of a two-level quantum system. We find optimally robust processes using invariant based engineering of the Hamiltonian. Amplitude noise and systematic errors require different optimal protocols.
Dynamical Robust Nonlinear H Filtering for Lipschitz Descriptor Systems with Parametric and
Marquez, Horacio J.
Dynamical Robust Nonlinear H Filtering for Lipschitz Descriptor Systems with Parametric and filtering of nonlinear dynamical systems has been a subject of extensive research during the recent decays and Nonlinear Uncertainties Masoud Abbaszadeh and Horacio J. Marquez Abstract-- In this paper, a dynamical
Stochastic Modeling and Optimization for Robust Power Management in a Partially Observable System
Qiu, Qinru
-of-the- art system modules are capable of trading power for performance or being put into sleep or low powerStochastic 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
On the Robustness of Global Optima and Stationary Solutions to Stochastic Mathematical Programs with
Patriksson, Michael
network design and to robust intensity modulated radiation therapy. Keywords: Stochastic mathematical, such as uncertain material pa- rameters in a structural problem and stochastic market in an application to economics-case scenario. It is tractable for certain convex problems (see [3]); however, it has also been utilized
Risk Aware Robust Decision Making in Power Systems with Renewable Resources
Thatte, Anupam Ajit
2014-10-29
for the combination of a wind farm and an energy storage device participating in a deregulated electricity market. The selection of the uncertainty set for the robust optimization problem, based on the decision maker’s risk preference, is also discussed. From...
Robustness of Learning That Is Based on Covariance-Driven Synaptic Plasticity
Robustness of Learning That Is Based on Covariance- Driven Synaptic Plasticity Yonatan Loewenstein of synaptic plasticity rules, in which synaptic changes are driven by covariance, is particularly useful. Covariance-based plasticity is inherently sensitive. Even a slight mistuning of the parameters
adaptation) (cepstral mean and variance normalization, CMVN)[1](cepstral histogram normalization, CHN)[2. Hilger and H. Ney, "Quantile based histogram equalization for noise robust large vocabulary speech recognition," IEEE Transactions on Audio, Speech and Language Processing, 14(3), pp. 845854, 2006. [3] C. P
ORBit: An Adaptive Data Shaping Technique for Robust Wireless Video Clip Communication
California at San Diego, University of
ORBit: An Adaptive Data Shaping Technique for Robust Wireless Video Clip Communication Clark N. Taylor and Sujit Dey Electrical and Computer Engineering University of California, San Diego cntaylor, MPEG-4, and high bandwidth wireless technologies such as 3G Wireless and WLAN, video communication over
Frame-rate Robust Stereo on a PCI Board John Woodfill Brian Von Herzen Ramin Zabih
Field, David
Frame-rate Robust Stereo on a PCI Board John Woodfill Brian Von Herzen Ramin Zabih woodfill on a reconfigurable computer built from programmable logic on a standard PCI card. The resulting system computes 32 PCI board called the PARTS engine [14]. The PARTS engine contains Field Programmable Gate Arrays
Robust stabilization of the angular velocity of a rigid body with two controls
Morin, Pascal
Robust stabilization of the angular velocity of a rigid body with two controls P. Morin INRIA Journal of Control Abstract The problem of asymptotic stabilization of the angular velocity of a rigid theory. 1 Introduction The angular velocity control of a rigid body with only one or two controls has
2001 -4380 -0 Aerospace EngineeringIto, Ward, and Valasek ROBUST DYNAMIC INVERSION
Valasek, John
2001 - 4380 - 0 Aerospace EngineeringIto, Ward, and Valasek ROBUST DYNAMIC INVERSION CONTROLLER DESIGN FOR THE X-38 AIAA-2001-4380 Dai Ito, Dr. Donald T. Ward, and Dr. John Valasek Aerospace Engineering AIAA GN&C Conference, Montreal, Canada 9 August 2001 #12;2001 - 4380 - 1 Aerospace Engineering
Evolving a robust signal transduction pathway from weak cross-talk
Siryaporn, Albert
We have evolved a robust two-component signal transduction pathway from a sensor kinase (SK) and non-partner response regulator (RR) that show weak cross-talk in vitro and no detectable cross-talk in vivo in wild-type ...
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
2007-12-17
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.
Fusion de paramtres pour une classification automatique parole/musique robuste
Pinquier, Julien
RECHERCHE Fusion de paramètres pour une classification automatique parole/musique robuste corpus est utilisé afin de vérifier la robustesse des paramètres et du sys- tème de fusion proposé. Cette with the classical 4Hz modulation energy. The relevance of these features is studied in a first experiment based
Efficient computation of robust average in wireless sensor networks using compressive sensing
New South Wales, University of
compressive sensing. Instead of sending a block of sensor readings to the data fusion centre, each sensor of the projections (which we will refer to as the compressed data) to the data fusion centre. At the data fusion of the robust average of the original sensor readings. This means that the data fusion centre will only need
Dynamic remodelling of disordered protein aggregates is an alternative pathway to achieve robust
Spakowitz, Andrew J.
Dynamic remodelling of disordered protein aggregates is an alternative pathway to achieve robust interactions control clathrin assembly at short time scales resulting in either disordered protein aggregates off to form spherical cages around lipid vesicles. The clathrin then disassembles and recycles back
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
Evolving a robust signal transduction pathway from weak cross-talk
Siryaporn, Albert
We have evolved a robust two?component signal transduction pathway from a sensor kinase (SK) and non?partner response regulator (RR) that show weak cross?talk in vitro and no detectable cross?talk in vivo in wild?type ...
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
Article Revue JIM How to manage robust tactical planning with an APS
Paris-Sud XI, Université de
", to obtain more stable and robust production plans at tactical level. Using an industrial application (Sales and Operations planning - S&OP, Master Production Schedule - MPS, Purchase and Distribution Plans). The third level, named the operational level, handles problems of production activity control in the very
Topological design of electromechanical actuators with robustness toward over-and under-etching
Qian, Xiaoping
Topological design of electromechanical actuators with robustness toward over- and under. For the electromechanical analysis, we adopt a monolithic formulation to model the coupled electrostatic and mechanical such as over- and under-etching. Keywords Topology optimization, electromechanical actuator 1 Introduction
SURVEY OF THE ROBUST CONTROL In this survey, we discuss current approaches to the robug con-
, and herobust control appoach. In the adaptive approach, one designs a controler which atempts to learn" the uncertain pameters of the paricular system and, if properly designed will eventuy be a "bes" con- troller for the system m question. In the robust approach, the con- trller has a fixed-stucture which yieds
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
ISSRE `99 1 Fernsler & Koopman Creating robust software requires not only careful
Koopman, Philip
specification and implementation, but also quantitative measurement. This paper describes Ballista exception of the Ballista architecture for han- dling exception-based error reporting models, testing object in the face of exceptional conditions. The Ballista software robustness testing service pro- vides a way
Software Robustness Testing Phil Koopman, Dan Siewiorek, Kobey DeVale
Koopman, Philip
Ballista ® Software Robustness Testing Phil Koopman, Dan Siewiorek, Kobey DeVale John DeVale, Kim Fernsler, Dave Guttendorf, Nathan Kropp, Jiantao Pan, Charles Shelton, Ying Shi Ballista® automated, Ballista testing can find ways to make operating systems crash in response to exceptional parameters used
Robustness Measurement in OS Forecast and Selection Xiaoen Ju and Hengming Zou
Koopman, Philip
and P. 3. Robustness Test Our testing is derived from Ballista [5]. The methodol- ogy is a combination parameters. Like Ballista, we use the CRASH scale [1] to measure the test responses and to report results. 4 a Windows Ballista test harness from the POSIX-oriented Ballista project and measured the ro- bustness of 87
Robust Human Detection Under Occlusion by Integrating Face and Person Detectors
Daume III, Hal
Robust Human Detection Under Occlusion by Integrating Face and Person Detectors William Robson is a challenging problem in computer vision. We address this problem through a framework which integrates face detection and person detection. We first investigate how the response of a face detector is correlated
Robust Segmentation of Challenging Lungs in CT using Multi-Stage Learning
Robust Segmentation of Challenging Lungs in CT using Multi-Stage Learning and Level Set.Kevin Zhou1 Abstract Automatic segmentation of lung tissue in thoracic CT scans is useful for diagnosis and treatment planning of pulmonary diseases. Unlike healthy lung tissue that is easily identifiable in CT scans
Multi-stage Learning for Robust Lung Segmentation in Challenging CT Volumes
Multi-stage Learning for Robust Lung Segmentation in Challenging CT Volumes Michal Sofka1 , Jens Imaging, Siemens Healthcare, Oxford, UK Abstract. Simple algorithms for segmenting healthy lung parenchyma an ini- tialization of a statistical shape model of the lungs. The initialization first detects
ROBUST BDDC PRECONDITIONERS FOR REISSNER-MINDLIN PLATE BENDING PROBLEMS AND MITC ELEMENTS
Lovadina, Carlo
ROBUST BDDC PRECONDITIONERS FOR REISSNER-MINDLIN PLATE BENDING PROBLEMS AND MITC ELEMENTS L. BEIR Method by Constraints (BDDC) is constructed and analyzed for the Reissner-Mindlin plate bending problem. The main results of the paper are the proof and numerical verification that the proposed BDDC plate
A general and robust strategy for the synthesis of nearly monodisperse colloidal nanocrystals
Lin, Zhiqun
as nanoreactors for the synthesis of inorganic materials17,18. The star-like block co-polymers used here are poly the aggregation of inorganic materials in well-defined, confined volumes, micelles of linear amphiphilic block coA general and robust strategy for the synthesis of nearly monodisperse colloidal nanocrystals
TOWARDS ROBUST 3D Z-PINCH SIMULATIONS: DISCRETIZATION AND FAST SOLVERS FOR MAGNETIC
Tuminaro, Ray S.
interest is in developing a technology for Z-pinch modeling which falls within the constraintsTOWARDS ROBUST 3D Z-PINCH SIMULATIONS: DISCRETIZATION AND FAST SOLVERS FOR MAGNETIC DIFFUSION. The mathematical model of the Z-pinch is comprised of many interacting components. One of these components
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, composite structure design, hip implant #12;3 1. Introduction With a thick laminated composite structure design freedom and the heterogeneous anisotropic nature of structures, composite structures are much more
Enhancing Efficiency and Robustness of a Photovoltaic Power System under Partial Shading
Pedram, Massoud
Enhancing Efficiency and Robustness of a Photovoltaic Power System under Partial Shading Yanzhi}@usc.edu, 2 E-mail: {yhkim, naehyuck}@elpl.snu.ac.kr Abstract Photovoltaic (PV) power systems have been widely.1% to 53.3% compared with the baseline systems. Keywords Photovoltaic system, partial shading, hybrid
OPTICAL WDM NETWORK DYNAMICS: AN ANALYTICAL APPROACH WITH APPLICATIONS TO ROBUST NETWORK
Pavel, Lacra
OPTICAL WDM NETWORK DYNAMICS: AN ANALYTICAL APPROACH WITH APPLICATIONS TO ROBUST NETWORK DESIGN- proach for studying dynamics in optical networks. The approach is based on recasting the problem- resentation for an optical network are developed and particularized to different optical network configura
Chaves, Madalena
, and the capability of pattern maintenance or reproducibility. Defining this robustness property is a challenging task functions should operate correctly under a variety of situations. The network should respond appropriately, or shape, of the sets of good or bad parameters. In [4] statistical analysis of a chemotaxis network
Design of Robust Distribution Networks Run by fourth Party Logistics Service Providers
Armbruster, Dieter
Design of Robust Distribution Networks Run by fourth Party Logistics Service Providers M logistics service provider (LSP), who faces the problem of distributing different products from suppliers distributions. 1 Introduction The logistics networks considered in this paper consist of production facilities
Modeling Robustness Tradeoffs in Yeast Cell Polarization Induced by Spatial Gradients
Chou, Ching-Shan; Nie, Qing; Yi, Tau-Mu
2008-01-01
Yi T-M, Chen S, Chou C-S, Nie Q (2007) Modeling yeast cellGradients Ching-Shan Chou 1 , Qing Nie 1. , Tau-Mu Yi 2. * 1Citation: Chou C-S, Nie Q, Yi T-M (2008) Modeling Robustness
ROBUST SEGMENTATION OF LUNG TISSUE IN CHEST CT SCANNING Amal Farag, James Graham and Aly Farag
Louisville, University of
ROBUST SEGMENTATION OF LUNG TISSUE IN CHEST CT SCANNING Amal Farag, James Graham and Aly Farag.edu ABSTRACT This paper deals with segmentation of the lung tissues from low dose CT (LDCT) scans of the chest. Goal is correct segmentation as well as maintaining the details of the lung region in the chest cavity
Rapid Prototyping of Robust Language Understanding Modules for Spoken Dialogue Systems
Rapid Prototyping of Robust Language Understanding Modules for Spoken Dialogue Systems Yuichiro,tsujino}@jp.honda-ri.com Abstract Language understanding (LU) modules for spoken dialogue systems in the early phases or transcribe and annotate a suf- ficient corpus for training. In our method, the weightings of the Weighted
Near Minimax Robust Control of Flexible Structures Marco Muenchhof Tarunraj Singh
Singh, Tarunraj
Near Minimax Robust Control of Flexible Structures Marco Muenchhof Tarunraj Singh Graduate Student frequency also results in de- creased sensitivity with respect to the damping ratio. Singh and Vadali [7. Recently, Singh [9] proposed a minimax formulation to desensitize the controller with respect to modeling
Chen, Zhongping
. In most of the reported microelectromechanical systems (MEMS) gyroscopes, a two degrees-of-freedom (2-DOF380 JOURNAL OF MICROELECTROMECHANICAL SYSTEMS, VOL. 15, NO. 2, APRIL 2006 Inherently Robust insensitive to pressure, temperature, and dc bias variations. [1501] Index Terms--Inertial sensor, MEMS
Signal Processing 87 (2007) 12641280 A robust content-based digital image watermarking scheme
Qi, Xiaojun
2007-01-01
Signal Processing 87 (2007) 12641280 A robust content-based digital image watermarking scheme 30 November 2006 Abstract This paper presents a content-based digital image-watermarking scheme. The image content is represented by important feature points obtained by our image-texture-based adaptive
Robust Content-Based MPEG-4 XMT Scene Structure Authentication and Multimedia Content Location
Ottawa, University of
18 Robust Content-Based MPEG-4 XMT Scene Structure Authentication and Multimedia Content Location-based MPEG-4 XMT standard. XMT allows content authors to exchange their content with other authors, tools-4 XMT structure and its media content. Unlike images or videos, watermarking an XMT structure
Realtime and Robust Hand Tracking from Depth Chen Qian1,2
Borgs, Christian
Realtime and Robust Hand Tracking from Depth Chen Qian1,2 Xiao Sun1 Yichen Wei1 Xiaoou Tang2 Jian Sun1 1 Microsoft Research 2 Chinese University of Hong Kong {v-xiasun,yichenw,jiansun}@microsoft.com {qc012,xtang}@ie.cuhk.edu.hk Abstract We present a realtime hand tracking system using a depth sensor
Towards a robust, automated hurricane damage assessment from high-resolution images
Bowyer, Kevin W.
be summarized as: 1) application of a pre-processing stage where images are registered and roof be used to distinguish damage states of a roof-top. In section 2, we describe the first step in pre of landmark points. Additionally, an efficient and robust way to match corresponding landmark points
Rotation-Robust Math Symbol Recognition and Retrieval Using Outer Contours and Image Subsampling
Zanibbi, Richard
Rotation-Robust Math Symbol Recognition and Retrieval Using Outer Contours and Image Subsampling the system with original Turning Function on the rotated InftyCDB-3 dataset. Keywords: Machine-Printed Math Symbol Recognition, Content-Based Math Symbol Retrieval 1. INTRODUCTION Recognition of math expression
Robust local testability of tensor products of LDPC Irit Dinur1
Sudan, Madhu
, then with noticeable probability the local view of the tester is far from an accepting local view. It is very easyRobust local testability of tensor products of LDPC codes Irit Dinur1 , Madhu Sudan2 , and Avi is what we refer to as smooth. We show that expander codes and locally-testable codes are smooth
Towards robust feature selection techniques Yvan Saeys yvan.saeys@psb.ugent.be
Gent, Universiteit
927, 9052 Gent, Belgium, Department of Molecular Genetics, Ghent University, Technologiepark 927, 9052 Gent, Belgium Abstract Robustness of feature selection techniques is a topic of recent interest- ples. Typical examples of such domains include text mining, computational chemistry and the bioinformat
A frequency weighted approach to robust fault reconstruction and F. Crusca
Aldeen, Mohammad
is based on shaping the map from disturbance inputs to the fault es- timation error through frequency, these disturbances are assumed to be the output of a filter (with the previously mentioned frequency characteristicsA frequency weighted approach to robust fault reconstruction C.P. Tan and F. Crusca and M. Aldeen
TOWARDS ROBUST 3D Z-PINCH SIMULATIONS: DISCRETIZATION AND FAST SOLVERS FOR MAGNETIC
is in developing a technology for Z-pinch modeling which falls within the constraints of an Arbitrary LagrangianTOWARDS ROBUST 3D Z-PINCH SIMULATIONS: DISCRETIZATION AND FAST SOLVERS FOR MAGNETIC DIFFUSION. The mathematical model of the Z-pinch is comprised of many interacting components. One of these components
Automated non-rigid registration and mosaicing for robust imaging of distinct retinal capillary
Tomasi, Carlo
Automated non-rigid registration and mosaicing for robust imaging of distinct retinal capillary.hendargo@duke.edu Abstract: Variance processing methods in Fourier domain optical coherence tomography (FD-OCT) have enabled demonstrate a method to eliminate motion artifacts in speckle variance FD-OCT images of the retinal
DistancePPG: Robust non-contact vital signs monitoring using a camera
DistancePPG: Robust non-contact vital signs monitoring using a camera Mayank Kumar, Ashok@rice.edu Abstract: Vital signs such as pulse rate and breathing rate are currently measured using contact probes. But, non-contact methods for measuring vital signs are desirable both in hospital settings
Robust Non-Zenoness of Piecewise Analytic Systems with Applications to Complementarity Systems
Shen, Jinglai
Robust Non-Zenoness of Piecewise Analytic Systems with Applications to Complementarity Systems systems subject to state pertur- bations and parameter uncertainties, motivated by sensitivity analysis of such systems. Specifically, the existence of uniform bounds on the number of mode switchings on a finite time
Carlos H. Rentel
2007-03-31
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.
Fast & Robust Solvers for TimeDiscretised Incompressible NavierStokes Equations
Higham, Nicholas J.
2 measures the kinetic energy of the fluid. 2. Discretisation Given the dissipative nature the design of robust and efficient methods for solving the Navier Stokes equations governing laminar flow of the convective transport terms, the weak enforcement of the incompressibility constraint in a mixed finite
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
Mi, Chunting "Chris"
A robust state-of-charge estimator for multiple types of lithium-ion batteries using adaptive 48128, USA h i g h l i g h t s Proposed a dynamic universal battery model based on second-order RC a SOC estimator for suitable for multiple lithium ion battery chemistries. Proved the system robustness
Robust and fault-tolerant linear parameter-varying control of wind turbines Christoffer Sloth a,,1
Hansen, René Rydhof
Robust and fault-tolerant linear parameter-varying control of wind turbines Christoffer Sloth a,,1 Keywords: Wind turbine control Linear parameter-varying (LPV) control Fault-tolerant control Robust control a b s t r a c t High performance and reliability are required for wind turbines to be competitive
Robustness of the in-degree exponent for the World-Wide Web and H. Jeong3
Jeong, Hawoong
Robustness of the in-degree exponent for the World-Wide Web B. Kahng,1 Y. Park,2 and H. Jeong3 1 for the World-Wide Web WWW nowadays, the in-degree exponent appears robust as in 2 for the WWW. DOI: 10
Model Based Object Recognition by Robust Information Fusion Haifeng Chen (1) Ilan Shimshoni (2 on robust information fusion is put forward in this paper. In this algorithm, the property of probabilistic fusion technique that is based on the non parametric mode search method, mean shift, is proposed
Hsu, Chun-Nan
Discovering Robust Knowledge from Dynamic ClosedWorld Data \\Lambda ChunNan Hsu and Craig A with data. Exam ples include discovering rules for query optimiza tion, database integration, decision inconsistent with data. Useful knowledge should be robust against database changes so that it is unlikely
Nagurney, Anna
Conclusions Network Efficiency/Performance Measurement with Vulnerability and Robustness Analysis Conclusions 1 Motivation 2 Literature Review 3 Network Efficiency/Performance Measure Variational Inequality Robustness SCN Model Fin. Net. Model Conclusions 1 Motivation 2 Literature Review 3 Network Efficiency/Performance
Ray, Asok
and Resilient Control of Nuclear Power Plants for Operational Safety and High Performance Xin Jin, Student robust and resilient control strategy to enhance the operational safety and performance of nuclear powerIEEE TRANSACTIONS ON NUCLEAR SCIENCE, VOL. 57, NO. 2, APRIL 2010 807 Integrated Robust
THE ENACTMENT-EXTERNALIZATION DIALECTIC: RATIONALIZATION AND THE PERSISTENCE OF
Leonardi, Paul
what "good engineers" do, and they sought to justify those practices as rational. This externalization aimed at helping newcomers to learn the norms of a partic- ular culture. For this reason, most research a "good doctor." The re- searchers pointed out that in many cases, students' notions about natural, normal
PROJECT PROFILE: ENACT SYSTEMS INC OPACT (Incubator 10) | Department of
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuelsof EnergyAprilEnergy EEREPlateau TrainingeTrack,1PPPOCogenra
PROJECT PROFILE: ENACT SYSTEMS INC PACE (Incubator 10) | Department of
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuelsof EnergyAprilEnergy EEREPlateau TrainingeTrack,1PPPOCogenraEnergy
Alternative Fuels Data Center: States Enact Natural Gas Vehicle and
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data Center Home PageBlender PumpVehicles
2011-12-01
A spate of recently enacted energy legislation and associated program changes is providing numerous opportunities to help California federal energy managers cut costs and meet their renewables, energy efficiency and GHG emissions goals. In April 2011, Governor Jerry Brown approved the nation’s most ambitious renewable portfolio standard (RPS), which requires 33% of the state’s electricity to come from renewable energy sources by 2020. Policy changes that will support the RPS include expanded eligibility rules that fill previous gaps in incentives for certain sizes of on-site renewable energy systems. Program updates described in this document include: $200 million more in funding for California Solar Initiative rebates to commercial and industrial customers; an increase in the eligible system size for the Feed-In-Tariff (FIT) from 1.5MW to 3MW; and pending changes that may allow customer-side systems to sell tradable renewable energy credits (TRECs) to entities with RPS compliance obligations in California.
Control design and robustness analysis of a ball and plate system by using polynomial chaos
Colón, Diego; Balthazar, José M.; Reis, Célia A. dos; Bueno, Átila M.; Diniz, Ivando S.; Rosa, Suelia de S. R. F.
2014-12-10
In this paper, we present a mathematical model of a ball and plate system, a control law and analyze its robustness properties by using the polynomial chaos method. The ball rolls without slipping. There is an auxiliary robot vision system that determines the bodies' positions and velocities, and is used for control purposes. The actuators are to orthogonal DC motors, that changes the plate's angles with the ground. The model is a extension of the ball and beam system and is highly nonlinear. The system is decoupled in two independent equations for coordinates x and y. Finally, the resulting nonlinear closed loop systems are analyzed by the polynomial chaos methodology, which considers that some system parameters are random variables, and generates statistical data that can be used in the robustness analysis.
B. Patra; Y. Kon; G. Yadav; A. W. Sevold; J. P. Frumkin; R. R. Vallabhajosyula; A. Hintze; B. Østman; J. Schossau; A. Bhan; B. Marzolf; J. K. Tamashiro; A. Kaur; N. S. Baliga; E. J. Grayhack; C. Adami; D. J. Galas; A. Raval; E. M. Phizicky; A. Ray
2013-11-11
Mutational robustness is the extent to which an organism has evolved to withstand the effects of deleterious mutations. We explored the extent of mutational robustness in the budding yeast by genome wide dosage suppressor analysis of 53 conditional lethal mutations in cell division cycle and RNA synthesis related genes, revealing 660 suppressor interactions of which 642 are novel. This collection has several distinctive features, including high co-occurrence of mutant-suppressor pairs within protein modules, highly correlated functions between the pairs, and higher diversity of functions among the co-suppressors than previously observed. Dosage suppression of essential genes encoding RNA polymerase subunits and chromosome cohesion complex suggest a surprising degree of functional plasticity of macromolecular complexes and the existence od degenerate pathways for circumventing potentially lethal mutations. The utility of dosage-suppressor networks is illustrated by the discovery of a novel connection between chromosome cohesion-condensation pathways involving homologous recombination, and Huntington's disease.
Takuya Tsuchiya; Gen Yoneda; Hisa-aki Shinkai
2011-03-07
With a purpose of constructing a robust evolution system against numerical instability for integrating the Einstein equations, we propose a new formulation by adjusting the ADM evolution equations with constraints. We apply an adjusting method proposed by Fiske (2004) which uses the norm of the constraints, C2. One of the advantages of this method is that the effective signature of adjusted terms (Lagrange multipliers) for constraint-damping evolution is pre-determined. We demonstrate this fact by showing the eigenvalues of constraint propagation equations. We also perform numerical tests of this adjusted evolution system using polarized Gowdy-wave propagation, which show robust evolutions against the violation of the constraints than that of the standard ADM formulation.
Tsuchiya, Takuya; Yoneda, Gen; Shinkai, Hisa-aki [Department of Mathematical Sciences, Waseda University, Okubo, Shinjuku, Tokyo 169-8555 (Japan); Faculty of Information Science and Technology, Osaka Institute of Technology, 1-79-1 Kitayama, Hirakata, Osaka 573-0196 (Japan) and Computational Astrophysics Laboratory, Institute of Physical and Chemical Research (RIKEN), Hirosawa, Wako, Saitama 351-0198 (Japan)
2011-03-15
With a purpose of constructing a robust evolution system against numerical instability for integrating the Einstein equations, we propose a new formulation by adjusting the ADM evolution equations with constraints. We apply an adjusting method proposed by Fiske (2004) which uses the norm of the constraints, C{sup 2}. One of the advantages of this method is that the effective signature of adjusted terms (Lagrange multipliers) for constraint-damping evolution is predetermined. We demonstrate this fact by showing the eigenvalues of constraint propagation equations. We also perform numerical tests of this adjusted evolution system using polarized Gowdy-wave propagation, which show robust evolutions against the violation of the constraints than that of the standard ADM formulation.
Robustness of scale-free networks to cascading failures induced by fluctuating loads
Mizutaka, Shogo
2015-01-01
Taking into account the fact that overload failures in real-world functional networks are usually caused by extreme values of temporally fluctuating loads that exceed the allowable range, we study the robustness of scale-free networks against cascading overload failures induced by fluctuating loads. In our model, loads are described by random walkers moving on a network and a node fails when the number of walkers on the node is beyond the node capacity. Our results obtained by using the generating function method shows that scale-free networks are more robust against cascading overload failures than Erd\\H{o}s-R\\'enyi random graphs with homogeneous degree distributions. This conclusion is contrary to that predicted by previous works which neglect the effect of fluctuations of loads.
Network and Index Coding with Application to Robust and Secure Communications
El Rouayheb, Salim Y.
2011-02-22
. Security is achieved against a wiretapper that can access one edge by using a coset code of parity check matrix H = [1 1] on top of the network. : : : : : : : : : : : : : : : : : : : : : : 16 8 (a) The M-Network [4] with four packets x1; x2; x3; x4.... Maurice Rojas Head of Department, Costas N. Georghiades December 2009 Major Subject: Electrical Engineering iii ABSTRACT Network and Index Coding with Applications to Robust and Secure Communications. (December 2009) Salim Yaacoub El Rouayheb, B...
A robust soliton ratchet using combined antiferromagnetic and ferromagnetic interlayer couplings
Mansell, R.; Lavrijsen, R.; Fernández-Pacheco, A.; Petit, D. C. M. C.; Lee, J. H.; Koopmans, B.; Swagten, H. J. M.; Cowburn, R. P.
2015-03-03
. Values extracted from the experimental data for the coercivities and interlayer couplings show significant variation, which demonstrates the robustness of the soliton propagation. Three-dimensional spintronic devices, with the abil- ity to propagate... (2012), http://dx.doi.org/10.1063/1.3672079. 10R. P. Cowburn, Patent WO2012076871A1 (2012). 11D. Petit, R. Mansell, A. Ferna´ndez-Pacheco, J. Lee, and R. Cow- burn, “Three-dimensional spintronics,” in VLSI: Circuits for Emerging Applications, Devices...
BenAbdallah, Abdallah [Institut superieur d'informatique et multimedia de Sfax BP 242-3021 (Tunisia); Hammami, Mohamed Ali [Faculty of Sciences of Sfax, BP 802-3018 Sfax (Tunisia); Kallel, Jalel [Institut preparatoire aux etudes d'ingenieurs de Sfax BP 1172-3018 (Tunisia)
2009-03-05
In this paper we present some sufficient conditions for the robust stability and stabilization of time invariant uncertain piecewise linear system using homogenous piecewise polynomial Lyapunov function. The proposed conditions are given in terms of linear matrix inequalities which can be numerically solved. An application of the obtained result is given. It consists in resolving the stabilization of piecewise uncertain linear control systems by using a state piecewise linear feedback.
S+R Optimization in Logistics Stochastic and Robust Optimization in Logistics
Erera, Alan
S+R Optimization in Logistics Stochastic and Robust Optimization in Logistics eln irerI 1he upply@isye.gatech.edu 1/ 78 #12;S+R Optimization in Logistics Introductions eout we et qeorgi eh for W yers eserhFisyeFgtehFeduGvlerer 2/ 78 #12;S+R Optimization in Logistics Introductions eout we et qeorgi eh for W yers eserh
Robust energy transfer mechanism via precession resonance in nonlinear turbulent wave systems
Miguel D. Bustamante; Brenda Quinn; Dan Lucas
2014-04-30
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.
CALiPER Report 20.3: Robustness of LED PAR38 Lamps
Poplawski, Michael E.; Royer, Michael P.; Brown, Charles C.
2014-12-31
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.
David Keitel; Reinhard Prix
2015-01-16
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.
Exact calculation of robustness of entanglement via convex semi-definite programming
M. A. Jafarizadeh; M. Mirzaee; M. Rezaee
2006-08-29
In general the calculation of robustness of entanglement for the mixed entangled quantum states is rather difficult to handle analytically. Using the the convex semi-definite programming method, the robustness of entanglement of some mixed entangled quantum states such as: $2\\otimes 2$ Bell decomposable (BD) states, a generic two qubit state in Wootters basis, iso-concurrence decomposable states, $2\\otimes 3$ Bell decomposable states, $d\\otimes d$ Werner and isotropic states, a one parameter $3\\otimes 3$ state and finally multi partite isotropic state, is calculated exactly, where thus obtained results are in agreement with those of :$2\\otimes 2$ density matrices, already calculated by one of the authors in \\cite{Bell1,Rob3}. Also an analytic expression is given for separable states that wipe out all entanglement and it is further shown that they are on the boundary of separable states as pointed out in \\cite{du}. {\\bf Keywords: Robustness of entanglement, Semi-definite programming, Bell decomposable states, Werner and isotropic states.}
Zhang, P; Hu, J; Tyagi, N; Mageras, G; Lee, N; Hunt, M
2014-06-01
Purpose: To develop a robust planning paradigm which incorporates a tumor regression model into the optimization process to ensure tumor coverage in head and neck radiotherapy. Methods: Simulation and weekly MR images were acquired for a group of head and neck patients to characterize tumor regression during radiotherapy. For each patient, the tumor and parotid glands were segmented on the MR images and the weekly changes were formulated with an affine transformation, where morphological shrinkage and positional changes are modeled by a scaling factor, and centroid shifts, respectively. The tumor and parotid contours were also transferred to the planning CT via rigid registration. To perform the robust planning, weekly predicted PTV and parotid structures were created by transforming the corresponding simulation structures according to the weekly affine transformation matrix averaged over patients other than him/herself. Next, robust PTV and parotid structures were generated as the union of the simulation and weekly prediction contours. In the subsequent robust optimization process, attainment of the clinical dose objectives was required for the robust PTV and parotids, as well as other organs at risk (OAR). The resulting robust plans were evaluated by looking at the weekly and total accumulated dose to the actual weekly PTV and parotid structures. The robust plan was compared with the original plan based on the planning CT to determine its potential clinical benefit. Results: For four patients, the average weekly change to tumor volume and position was ?4% and 1.2 mm laterally-posteriorly. Due to these temporal changes, the robust plans resulted in an accumulated PTV D95 that was, on average, 2.7 Gy higher than the plan created from the planning CT. OAR doses were similar. Conclusion: Integration of a tumor regression model into target delineation and plan robust optimization is feasible and may yield improved tumor coverage. Part of this research is supported by Varian Medical System.
Eftekhari Shahroudi, Kamran, 1965-
2008-01-01
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 ...
Broader source: Energy.gov [DOE]
State policymakers and various stakeholders frequently have need to estimate the emissions impacts of particular renewable energy and energy efficiency policies. However, it can be challenging and...
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...
Using RPS Policies to Grow the Solar Market in the United States
Wiser, Ryan H
2008-01-01
basis, then the solar targets in New Mexico, Arizona, Newand New Mexico, as well as areas where the solar resource is
Using RPS Policies to Grow the Solar Market in the United States
Wiser, Ryan H
2008-01-01
nine also allow solar- thermal electric to qualify, threestrong competition from solar-thermal electric facilities in
Analysis of a 10% RPS - Response letter summarizing principal conclusions of supplement
Reports and Publications (EIA)
2003-01-01
Transmittal letter for the supplement to the Service Report 'Analysis of a 10% Renewable Portfolio Standard'.
Using RPS Policies to Grow the Solar Market in the United States
Wiser, Ryan H
2008-01-01
Efficiency and Renewable Energy, Solar Energy Technologiessolar heating and/or cooling to qualify, and three have broader renewable
Energy and Economic Impacts of Implementing Both a 25% RPS and a 25% RFS by 2025
Reports and Publications (EIA)
2007-01-01
This report responds to a request by Senator James Inhofe for analysis of a "25-by-25" proposal that combines a requirement that a 25% share of electricity sales be produced from renewable sources by 2025 with a requirement that a 25% share of liquid transportation fuel sales also be derived from renewable sources by 2025.
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 Center Home Page onRAPID/Geothermal/Exploration/Colorado <RAPID/Geothermal/Water Use/NevadaaTools <REpower Systems AG
Memorandum of Understanding between DOE and NASA concerning RPS for space
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shines light on dark matter By SarahMODELINGMeetingsMembranes -missions |
Chen, Cliff
2009-01-01
clean_energy_policies/increase-wisconsin- rps.html Table 1. State RPS Policies as Modeled by RPS Cost
Mittal, Shashi, Ph. D. Massachusetts Institute of Technology
2011-01-01
This thesis presents efficient algorithms that give optimal or near-optimal solutions for problems with non-linear objective functions that arise in discrete, continuous and robust optimization. First, we present a general ...
Mooijaart, Ab; Satorra, Albert
2011-01-01
of-?t summaries for the MM method degrees of freedom chi-regarding the robustness of the MM method to non-normality.MM versus ML estimates of structural equation models with
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)
2011-11-15
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
2011-01-01
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.
Aircraft control using nonlinear dynamic inversion in conjunction with adaptive robust control
Fisher, James Robert
2005-02-17
of MASTER OF SCIENCE December 2004 Major Subject: Mechanical Engineering AIRCRAFT CONTROL USING NONLINEAR DYNAMIC INVERSION IN CONJUNCTION WITH ADAPTIVE ROBUST CONTROL A Thesis by JAMES ROBERT FISHER Submitted to Texas A&M University in partial fulfillment... of the requirements for the degree of MASTER OF SCIENCE Approved as to style and content by: S. Craig Smith (Co-Chair of Committee) D.V.A.H.G Swaroop (Co-Chair of Committee) John Valasek (Member) Dennis O?Neal (Head of Department) December 2004 Major Subject...
The fixed structurally robust internal model principle for linear multivariable regulators
McGrath, John Thomas
1980-01-01
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... Multivariable Regulators. (May 19BC) John Thomas McGrath, B. S. , Texas ARM Unive sity Chairman of Advisory Committee: Dr. Ralph Keary Cavin III In this paper we develop the necessary and suffi- cient cond'tions to establish the new concept of' a fixed...
Robust ferromagnetism in the compressed permanent magnet Sm 2 Co 17
Office of Scientific and Technical Information (OSTI)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail. (Conference) | SciTech Connect Robust emergent climate phenomena associated
Robust ferromagnetism in the compressed permanent magnet Sm2Co17 (Journal
Office of Scientific and Technical Information (OSTI)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail. (Conference) | SciTech Connect Robust emergent climate phenomena
Robust ferromagnetism in the compressed permanent magnet Sm2Co17 (Journal
Office of Scientific and Technical Information (OSTI)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail. (Conference) | SciTech Connect Robust emergent climate phenomenaArticle) |
Robust, self-assembled, biocompatible films (Patent) | SciTech Connect
Office of Scientific and Technical Information (OSTI)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail. (Conference) | SciTech Connect Robust emergent climate phenomenaArticle)Patent:
Robust, self-assembled, biocompatible films (Patent) | SciTech Connect
Office of Scientific and Technical Information (OSTI)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail. (Conference) | SciTech Connect Robust emergent climate
Energy-scales convergence for optimal and robust quantum transport in photosynthetic complexes
Masoud Mohseni; Alireza Shabani; Seth Lloyd; Herschel Rabitz
2012-12-31
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
2008-03-31
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.
Robust Maximum Lifetime Routing and Energy Allocation in Wireless Sensor Networks
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Paschalidis, Ioannis Ch.; Wu, Ruomin
2012-01-01
We consider the maximum lifetime routing problem in wireless sensor networks in two settings: (a) when nodes’ initial energy is given and (b) when it is subject to optimization. The optimal solution and objective value provide optimal flows and the corresponding predicted lifetime, respectively. We stipulate that there is uncertainty in various network parameters (available energy and energy depletion rates). In setting (a) we show that for specific, yet typical, network topologies, the actual network lifetime will reach the predicted value with a probability that converges to zero as the number of nodes grows large. In setting (b) the samemore »result holds for all topologies. We develop a series of robust problem formulations, ranging from pessimistic to optimistic. A set of parameters enable the tuning of the conservatism of the formulation to obtain network flows with a desirably high probability that the corresponding lifetime prediction is achieved. We establish a number of properties for the robust network flows and energy allocations and provide numerical results to highlight the tradeoff between predicted lifetime and the probability achieved. Further, we analyze an interesting limiting regime of massively deployed sensor networks and essentially solve a continuous version of the problem.« less
Energy-scales convergence for optimal and robust quantum transport in photosynthetic complexes
Mohseni, M.; Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139 ; Shabani, A.; Department of Chemistry, University of California at Berkeley, Berkeley, California 94720 ; Lloyd, S.; Rabitz, H.
2014-01-21
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 important parameters of environmental interactions including reorganization energy ?, bath frequency cutoff ?, temperature T, and bath spatial correlations. We identify the ratio of k{sub B}?T/???g as a single key parameter governing quantum transport efficiency, where g is the average excitonic energy gap.
Robust parallel iterative solvers for linear and least-squares problems, Final Technical Report
Saad, Yousef
2014-01-16
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.
Effect of Wind Intermittency on the Electric Grid: Mitigating the Risk of Energy Deficits
George, Sam O; Nguyen, Scott V
2010-01-01
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 ...
Planck 2015 results. XI. CMB power spectra, likelihoods, and robustness of parameters
Aghanim, N; Ashdown, M; Aumont, J; Baccigalupi, C; Banday, A J; Barreiro, R B; Bartlett, J G; Bartolo, N; Battaner, E; Benabed, K; Benoît, A; Benoit-Lévy, A; Bernard, J -P; Bersanelli, M; Bielewicz, P; Bock, J J; Bonaldi, A; Bonavera, L; Bond, J R; Borrill, J; Bouchet, F R; Boulanger, F; Bucher, M; Burigana, C; Butler, R C; Calabrese, E; Cardoso, J -F; Catalano, A; Challinor, A; Chiang, H C; Christensen, P R; Clements, D L; Colombo, L P L; Combet, C; Coulais, A; Crill, B P; Curto, A; Cuttaia, F; Danese, L; Davies, R D; Davis, R J; de Bernardis, P; de Rosa, A; de Zotti, G; Delabrouille, J; Désert, F -X; Di Valentino, E; Dickinson, C; Diego, J M; Dolag, K; Dole, H; Donzelli, S; Doré, O; Douspis, M; Ducout, A; Dunkley, J; Dupac, X; Efstathiou, G; Elsner, F; Enßlin, T A; Eriksen, H K; Fergusson, J; Finelli, F; Forni, O; Frailis, M; Fraisse, A A; Franceschi, E; Frejsel, A; Galeotta, S; Galli, S; Ganga, K; Gauthier, C; Gerbino, M; Giard, M; Gjerløw, E; González-Nuevo, J; Górski, K M; Gratton, S; Gregorio, A; Gruppuso, A; Gudmundsson, J E; Hamann, J; Hansen, F K; Harrison, D L; Helou, G; Henrot-Versillé, S; Hernández-Monteagudo, C; Herranz, D; Hildebrandt, S R; Hivon, E; Holmes, W A; Hornstrup, A; Huffenberger, K M; Hurier, G; Jaffe, A H; Jones, W C; Juvela, M; Keihänen, E; Keskitalo, R; Kiiveri, K; Knoche, J; Knox, L; Kunz, M; Kurki-Suonio, H; Lagache, G; Lähteenmäki, A; Lamarre, J -M; Lasenby, A; Lattanzi, M; Lawrence, C R; Jeune, M Le; Leonardi, R; Lesgourgues, J; Levrier, F; Lewis, A; Liguori, M; Lilje, P B; Lilley, M; Linden-Vørnle, M; Lindholm, V; López-Caniego, M; Macías-Pérez, J F; Maffei, B; Maggio, G; Maino, D; Mandolesi, N; Mangilli, A; Maris, M; Martin, P G; Martínez-González, E; Masi, S; Matarrese, S; Meinhold, P R; Melchiorri, A; Migliaccio, M; Millea, M; Miville-Deschênes, M -A; Moneti, A; Montier, L; Morgante, G; Mortlock, D; Munshi, D; Murphy, J A; Narimani, A; Naselsky, P; Nati, F; Natoli, P; Noviello, F; Novikov, D; Novikov, I; Oxborrow, C A; Paci, F; Pagano, L; Pajot, F; Paoletti, D; Partridge, B; Pasian, F; Patanchon, G; Pearson, T J; Perdereau, O; Perotto, L; Pettorino, V; Piacentini, F; Piat, M; Pierpaoli, E; Pietrobon, D; Plaszczynski, S; Pointecouteau, E; Polenta, G; Ponthieu, N; Pratt, G W; Prunet, S; Puget, J -L; Rachen, J P; Reinecke, M; Remazeilles, M; Renault, C; Renzi, A; Ristorcelli, I; Rocha, G; Rossetti, M; Roudier, G; d'Orfeuil, B Rouillé; Rubiño-Martín, J A; Rusholme, B; Salvati, L; Sandri, M; Santos, D; Savelainen, M; Savini, G; Scott, D; Serra, P; Spencer, L D; Spinelli, M; Stolyarov, V; Stompor, R; Sunyaev, R; Sutton, D; Suur-Uski, A -S; Sygnet, J -F; Tauber, J A; Terenzi, L; Toffolatti, L; Tomasi, M; Tristram, M; Trombetti, T; Tucci, M; Tuovinen, J; Umana, G; Valenziano, L; Valiviita, J; Van Tent, B; Vielva, P; Villa, F; Wade, L A; Wandelt, B D; Wehus, I K; Yvon, D; Zacchei, A; Zonca, A
2015-01-01
This paper presents the Planck 2015 likelihoods, statistical descriptions of the 2-point correlation functions of CMB temperature and polarization. They use the hybrid approach employed previously: pixel-based at low multipoles, $\\ell$, and a Gaussian approximation to the distribution of cross-power spectra at higher $\\ell$. The main improvements are the use of more and better processed data and of Planck polarization data, and more detailed foreground and instrumental models. More than doubling the data allows further checks and enhanced immunity to systematics. Progress in foreground modelling enables a larger sky fraction, contributing to enhanced precision. Improvements in processing and instrumental models further reduce uncertainties. Extensive tests establish robustness and accuracy, from temperature, from polarization, and from their combination, and show that the {\\Lambda}CDM model continues to offer a very good fit. We further validate the likelihood against specific extensions to this baseline, suc...
Robustness of n-GaAs carrier spin properties to 5?MeV proton irradiation
Pursley, Brennan C.; Song, X.; Torres-Isea, R. O.; Bokari, E. A.; Kayani, A.; Sih, V.
2015-02-16
Modern electronic devices utilize charge to transmit and store information. This leaves the information susceptible to external influences, such as radiation, that can introduce short timescale charge fluctuations and, long term, degrade electronic properties. Encoding information as spin polarizations offers an attractive alternative to electronic logic that should be robust to randomly polarized transient radiation effects. As a preliminary step towards radiation-resistant spintronic devices, we measure the spin properties of n-GaAs as a function of radiation fluence using time-resolved Kerr rotation and photoluminescence spectroscopy. Our results show a modest to negligible change in the long-term electron spin properties up to a fluence of 1?×?10{sup 14} (5?MeV protons)/cm{sup 2}, even as the luminescence decreases by two orders of magnitude.
Robustness and Closeness Centrality for Self-Organized and Planned Cities
Masucci, A Paolo
2015-01-01
Street networks are important infrastructural transportation systems that cover a great part of the planet. It is now widely accepted that transportation properties of street networks are better understood in the interplay between the street network itself and the so called \\textit{information} or \\textit{dual network}, which embeds the topology of the street network navigation system. In this work, we present a novel robustness analysis, based on the interaction between the primal and the dual transportation layer for two large metropolis, London and Chicago, thus considering the structural differences to intentional attacks for \\textit{self-organized} and planned cities. We elaborate the results through an accurate closeness centrality analysis in the Euclidean space and in the relationship between primal and dual space. Interestingly enough, we find that even if the considered planar graphs display very distinct properties, the information space induce them to converge toward systems which are similar in t...
Molecular motors robustly drive active gels to a critically connected state
Jose Alvarado; Michael Sheinman; Abhinav Sharma; Fred C. MacKintosh; Gijsje H. Koenderink
2013-02-12
Living systems often exhibit internal driving: active, molecular processes drive nonequilibrium phenomena such as metabolism or migration. Active gels constitute a fascinating class of internally driven matter, where molecular motors exert localized stresses inside polymer networks. There is evidence that network crosslinking is required to allow motors to induce macroscopic contraction. Yet a quantitative understanding of how network connectivity enables contraction is lacking. Here we show experimentally that myosin motors contract crosslinked actin polymer networks to clusters with a scale-free size distribution. This critical behavior occurs over an unexpectedly broad range of crosslink concentrations. To understand this robustness, we develop a quantitative model of contractile networks that takes into account network restructuring: motors reduce connectivity by forcing crosslinks to unbind. Paradoxically, to coordinate global contractions, motor activity should be low. Otherwise, motors drive initially well-connected networks to a critical state where ruptures form across the entire network.
Hammer, Brenton A. G.; Bokel, Felicia A.; Hayward, Ryan C.; Emrick, Todd
2011-09-27
A series of poly(3-hexyl thiophene) (P3HT)-based diblock copolymers were prepared and examined in solution for their assembly into fibrils, and post-assembly cross-linking into robust nanowire structures. P3HT-b-poly(3-methanol thiophene) (P3MT), and P3HT-b-poly(3-aminopropyloxymethyl thiophene) (P3AmT) diblock copolymers were synthesized using Grignard metathesis (GRIM) polymerization. Fibrils formed from solution assembly of these copolymers are thus decorated with hydroxyl and amine functionality, and cross-linking is achieved by reaction of diisocyanates with the hydroxyl and amine groups. A variety of cross-linked structures, characterized by transmission electron microscopy (TEM), were produced by this method, including dense fibrillar sheets, fibril bundles, or predominately individual fibrils, depending on the chosen reaction conditions. In solution, the cross-linked fibrils maintained their characteristic vibronic structure in solvents that would normally disrupt (dissolve) the structures.
Robust Validation Of Approximate 1-Matrix Functionals With Few-Electron Harmonium Atoms
Cioslowski, Jerzy; Matito, Eduard
2015-01-01
A simple comparison between the exact and approximate correlation components U of the electron-electron repulsion energy of several states of few-electron harmonium atoms with varying confinement strengths provides a superior validation tool for 1-matrix functionals. The robustness of this tool is clearly demonstrated in a survey of 14 known functionals, which reveals their substandard performance within different electron correlation regimes. Unlike spot-testing that employs dissociation curves of diatomic molecules or more extensive benchmarking against experimental atomization energies of molecules comprising one of standard sets, the present approach not only uncovers the flaws and patent failures of the functionals but, even more importantly, allows for pinpointing their root causes. Since the approximate values of U are computed at exact 1-densities, the testing requires minimal programming, and thus is particularly useful in quick screening of new functionals.
Robust Timing Synchronization for AC-OFDM Based Optical Wireless Communications
Ranjha, Bilal A; Kavehrad, Mohsen; Deng, Peng
2015-01-01
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 state transfer with high fidelity in spin-1/2 chains by Lyapunov control
Z. C. Shi; X. L. Zhao; X. X. Yi
2015-05-19
Based on the Lyapunov control, we present a scheme to realize state transfer with high fidelity by only modulating the boundary spins in a quantum spin-1/2 chain. Recall that the conventional transmission protocols aim at nonstationary state (or information) transfer from the first spin to the end spin at a fixed time. The present scheme possesses the following advantages. First, the scheme does not require precise manipulations of the control time. Second, it is robust against uncertainties in the initial states and fluctuations in the control fields. Third, the controls are exerted only on the boundary sites of the chain. It works for variable spin-1/2 chains with different periodic structures and has good scalability. The feasibility to replace the control fields by square pules is explored, which simplifies the realization in experiments.
Dispersive representation and shape of the K{sub l3} form factors: Robustness
Bernard, Veronique; Stern, Jan; Passemar, Emilie
2009-08-01
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 random number generation using steady-state emission of gain-switched laser diodes
Yuan, Z. L. Lucamarini, M.; Dynes, J. F.; Fröhlich, B.; Plews, A.; Shields, A. J.
2014-06-30
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.
Multivariable Robust Control of a Simulated Hybrid Solid Oxide Fuel Cell Gas Turbine Plant
Tsai, Alex; Banta, Larry; Tucker, David; Gemmen, Randall
2010-08-01
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.
Robustness analysis of an air heating plant and control law by using polynomial chaos
Colón, Diego; Ferreira, Murillo A. S.; Bueno, Átila M.; Balthazar, José M.; Rosa, Suélia S. R. F. de
2014-12-10
This paper presents a robustness analysis of an air heating plant with a multivariable closed-loop control law by using the polynomial chaos methodology (MPC). The plant consists of a PVC tube with a fan in the air input (that forces the air through the tube) and a mass flux sensor in the output. A heating resistance warms the air as it flows inside the tube, and a thermo-couple sensor measures the air temperature. The plant has thus two inputs (the fan's rotation intensity and heat generated by the resistance, both measured in percent of the maximum value) and two outputs (air temperature and air mass flux, also in percent of the maximal value). The mathematical model is obtained by System Identification techniques. The mass flux sensor, which is nonlinear, is linearized and the delays in the transfer functions are properly approximated by non-minimum phase transfer functions. The resulting model is transformed to a state-space model, which is used for control design purposes. The multivariable robust control design techniques used is the LQG/LTR, and the controllers are validated in simulation software and in the real plant. Finally, the MPC is applied by considering some of the system's parameters as random variables (one at a time, and the system's stochastic differential equations are solved by expanding the solution (a stochastic process) in an orthogonal basis of polynomial functions of the basic random variables. This method transforms the stochastic equations in a set of deterministic differential equations, which can be solved by traditional numerical methods (That is the MPC). Statistical data for the system (like expected values and variances) are then calculated. The effects of randomness in the parameters are evaluated in the open-loop and closed-loop pole's positions.
Neutrino mass limits: robust information from the power spectrum of galaxy surveys
Antonio J. Cuesta; Viviana Niro; Licia Verde
2015-11-18
We present cosmological upper limits on the sum of active neutrino masses using large-scale power spectrum data from the WiggleZ Dark Energy Survey and from the Sloan Digital Sky Survey - Data Release 7 (SDSS-DR7) sample of Luminous Red Galaxies (LRG). Combining measurements on the Cosmic Microwave Background temperature and polarisation anisotropies by the Planck satellite together with WiggleZ power spectrum results in a neutrino mass bound of 0.43 eV at 95% C.L., while replacing WiggleZ by the SDSS-DR7 LRG power spectrum, the 95% C.L. bound on the sum of neutrino masses improves to 0.17 eV. Adding Baryon Acoustic Oscillation (BAO) distance scale measurements, the neutrino mass upper limits greatly improve, since BAO data break degeneracies in parameter space. Within a $\\Lambda$CDM model, we find an upper limit of 0.11 eV (0.15 eV) at 95% C.L., when using SDSS-DR7 LRG (WiggleZ) together with BAO and Planck. The addition of BAO data makes the neutrino mass upper limit robust, showing only a weak dependence on the power spectrum used. We also quantify the dependence of neutrino mass limit reported here on the CMB lensing information. The tighter upper limit (0.11 eV) obtained with SDSS-DR7 LRG is very close to that recently obtained using Lyman-alpha clustering data, yet uses a completely different probe and redshift range, further supporting the robustness of the constraint. This constraint puts under some pressure the inverted mass hierarchy and favours the normal hierarchy.
SU-E-T-528: Robustness Evaluation for Fiducial-Based Accelerated Partial Breast Proton Therapy
Zhao, L; Rana, S; Zheng, Y
2014-06-01
Purpose: To investigate the robustness of the proton treatment plans in the presence of rotational setup error when patient is aligned with implanted fiducials. Methods: Five Stage I invasive breast cancer patients treated with the APBP protocol (PCG BRE007-12) were studied. The rotational setup errors were simulated by rotating the original CT images around the body center clockwise and counterclockwise 5 degrees (5CW and 5CCW). Manual translational registration was then performed to match the implanted fiducials on the rotated images to the original dataset. Patient contours were copied to the newly created CT set. The original treatment plan was applied to the new CT dataset with the beam isocenter placed at the geometrical center of PTV. The dose distribution was recalculated for dosimetric parameters comparison. Results: CTV and PTV (D95 and V95) coverages were not significantly different between the two simulated plans (5CW and 5CCW) and the original plan. PTV D95 and CTV D95 absolute difference among the three plans were relatively small, with maximum changes of 0.28 CGE and 0.15 CGE, respectively. PTV V95 and CTV V95 absolute differences were 0.79% and 0.48%. The dosage to the thyroid, heart, contralateral breast and lung remained zero for all three plans. The Dmax and Dmean to the volume of ipsilateral breast excluding CTV were compared, with maximum difference values of 1.02 CGE for Dmax and 3.56 CGE for Dmean. Ipsilateral lung Dmean maintained no significant changes through the three plan comparison, with the largest value 0.32 CGE. Ipsilateral lung Dmax was the most sensitive parameter to this simulation study, with a maximum difference at 20.2 CGE. Conclusion: Our study suggests that fiducial-based Accelerated Partial Breast Proton Therapy is robust with respect to +/? 5 degree patient setup rotational errors, as long as the internal fiducial markers are used for patient alignment.
Bertsimas, Dimitris
for the Security Constrained Unit Commitment Problem Dimitris Bertsimas, Member, IEEE, Eugene Litvinov, Senior Abstract--Unit commitment, one of the most critical tasks in electric power system operations, faces new a two-stage adaptive robust unit commitment model for the security constrained unit commitment problem
Hollerbach, John M.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, VOL. 46, NO. 4, APRIL 1999 409 A Robust Ensemble Data properties of the human joint cannot be obtained with these methods directly. More recently, a static September 24, 1998. This work was supported by the Medical Research Council of Canada (MRC) and by NSERC NCE
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
Hespanha, João 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-wing aircraft equipped with gimbaled cameras and must coordinate their control actions so that at least one UAV
Yao, Bin
to significantly reduce the fluid power energy usage in a number of motion and loading conditions to meet the sociEnergy-Saving Adaptive Robust Motion Control of Single-Rod Hydraulic Cylinders with Programmable Valves 1 Bin Yao · Chris DeBoer School of Mechanical Engineering Purdue University, West Lafayette
Evaluation of a robust, diimide-based, porous organic polymer (POP) as a high-capacity sorbent A previously described porous organic polymer (NU-POP-1) was evaluated against four representative chemical an activated, impregnated carbon. The ability to remove the highly volatile toxic chemicals ammonia
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
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
Leonard, Naomi
Proceedings of the American Control Conference, Baltimore, MD, 2010 Robustness of Noisy Consensus be solved by autonomous groups of aerial, ground or underwater vehicles [10]. For the purposes of achieving to several different parameters, including component or individual agent failure, environmental uncertainty
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 i g h l i g h t s battery model parameters are optimized. 2012 Accepted 1 June 2012 Available online 9 June 2012 Keywords: Battery management systems SOC
Sung, Youngchul
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 11, NO. 10, OCTOBER 2012 3561 Outage Probability and Outage-Based Robust Beamforming for MIMO Interference Channels with Imperfect Channel State Information, and H. Vincent Poor Fellow, IEEE Abstract--In this paper, the outage probability and outage- based beam
DFIG-Based Wind Turbine Robust Control Using High-Order Sliding Modes and a High Gain Observer
Brest, Université 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
Mak, Brian Kan-Wing
Robust Speaker Verification Using Short-Time Frequency with Long-Time Window and Fusion of Multi, the feature analysis of short-time frequency with long-time window (SFLW) is a compact feature characteristics and long- time resolution at the same time. Secondly, the fusion of multi-resolutions is used
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, annual energy output is calculated for a representative offshore wind turbine. The average power resource
Loss, Daniel
ARTICLES PUBLISHED ONLINE: 11 AUGUST 2013 | DOI: 10.1038/NPHYS2715 Molecular motors robustly drive a fascinating class of internally driven matter, in which molecular motors exert localized stresses inside polymer networks. There is evidence that network crosslinking is required to allow motors to induce
Schindler, Konrad
1 Robust Multi-Person Tracking from a Mobile Platform Andreas Ess, Bastian Leibe, Konrad Schindler pedestrian zones using a stereo rig mounted on a mobile platform. The complexity of the problem calls be a mobile robot, an electric wheelchair, or a car passing through a crowded city center. The scenario
Alippi, Cesare
carefully selected or de- signed to guarantee a high quality of service, optimal solar energy harvestingIEEE SENSORS JOURNAL, VOL. 11, NO. 1, JANUARY 2011 45 A Robust, Adaptive, Solar-Powered WSN to the control center, data storage in a DB and real-time visualization. Hw and Sw modules have been either
Won, Chang-Hee
Abstract-- We present the Parameter Robust Risk-Sensitive control theory to deal with the parameter, and are reflected in the cost function and the noise models. This new method improves the tolerance of a controller control application. The linearized version of the satellite structure attitude model is derived
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
Neumaier, Arnold
Proceedings in Applied Mathematics and Mechanics, 15 October 2007 Uncertainty modeling in autonomous robust spacecraft system design Martin Fuchs1 , Arnold Neumaier1 , and Daniela Girimonte2 1 system engineers or even of completely automated design methods capturing the reasoning of the system
Varela, Carlos
programs and services designed to: I facilitate academic success I offer education and practice/or enrolled through the Higher Education Opportunity Program (HEOP). Support services focus on recruitment26 Rensselaer helps educate "leaders of tomorrow" by providing a robust set of student life