Qualifying RPS State Export Markets (Michigan)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Michigan as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Kansas)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Kansas as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Mississippi)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Mississippi as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Maine)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Maine as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Montana)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Montana as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Minnesota)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Minnesota as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Nebraska)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Nebraska as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Georgia)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Georgia as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Alabama)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Alabama as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Connecticut)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Connecticut as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Arkansas)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Arkansas as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Oklahoma)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Oklahoma as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Indiana)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Indiana as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Massachusetts)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Massachusetts as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Illinois)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Illinois as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Delaware)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Delaware as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Maryland)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Maryland as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Missouri)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Missouri as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Louisiana)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Louisiana as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Pennsylvania)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Pennsylvania as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Kentucky)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Kentucky as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (New Mexico)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in New Mexico as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (North Carolina)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in North Carolina as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (South Carolina)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in South Carolina as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (New Hampshire)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in New Hampshire as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Ohio)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Ohio as eligible sources towards their RPS targets or goals. For specific information...
Qualifying RPS State Export Markets (Rhode Island)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Rhode Island as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (New York)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in New York as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (Iowa)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in Iowa as eligible sources towards their RPS targets or goals. For specific information...
Qualifying RPS State Export Markets (North Dakota)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in North Dakota as eligible sources towards their RPS targets or goals. For specific...
Qualifying RPS State Export Markets (New Jersey)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in New Jersey as eligible sources towards their RPS targets or goals. For specific...
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
Memorandum of Understanding between DOE and NASA concerning RPS...
Memorandum of Understanding between DOE and NASA concerning RPS for space missions Memorandum of Understanding between DOE and NASA concerning RPS for space missions The purpose of...
Qualifying RPS State Export Markets (District of Columbia)
Broader source: Energy.gov [DOE]
This entry lists the states with Renewable Portfolio Standard (RPS) policies that accept generation located in District of Columbia as eligible sources towards their RPS targets or goals. For...
RPS Group Plc | 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 DeliciousPlasmaP a g eWorks -09-0018-CXNuon Renewables JumpSolartechSolarRAPID/Roadmap/9 (1)RGE EnergyRPS Group Plc
Regional REC and RPS Best Practices
Jennifer Alvarado
2009-09-30T23:59:59.000Z
The Great Lakes Renewable Energy Association conducted a program to explore the development of Renewable Energy Portfolio Standards and Renewable Energy Certificate Markets in the Midwest. The initiative represented the collaboration between the four state energy offices of Illinois, Indiana, Michigan and Ohio, the Great Lakes Renewable Energy Association (GLREA) and the Clean Energy State Alliance (CESA). The multi-state project explored the opportunities in the Midwest to expand the renewable energy market through Renewable Energy Portfolio Standards (RPS) and the trading of Renewable Energy Credits (RECs).
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.
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
Imperial Irrigation District RPS Policy (SBX1 2) Enforcement Program & Procurement Plan
the wholesale electricity market. A least cost, best fit procurement process will be used that takes utilities to achieve a 33% RPS by 2020, with interim targets of an average of 20% through 2011-2013, 25 procurement of electricity from eligible renewable resources towards a portfolio level of 33% by 2020 measured
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
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 ...
Using Supercomputers to Speed Execution of the CAISO/PLEXOS 33% RPS Study
Meyers, C; Streitz, F; Yao, Y; Smith, S; Lamont, A
2011-09-19T23:59:59.000Z
The study's official title is 'ISO Study of Operational Requirements and Market Impacts at 33% Renewable Portfolio Standard (RPS).' The stated objectives are twofold: (1) identifying operational requirements and resource options to reliably operate the ISO-controlled grid under a 33% RPS in 2020; and (2) inform market, planning, and policy/regulatory decisions by the ISO, state agencies, market participants, and other stakeholders. The first of these objectives requires the hourly estimates of integration requirements, measured in terms of operational ramp, load following and regulation capacity and ramp rates, as well as additional capacity to resolve operational violations. It also involves consideration of other variables that affect the results, such as the impact of different mixes of renewable technologies, and the impact of forecasting error and variability. The second objective entails supporting the CPUC to identify long-term procurement planning needs, costs, and options, as well as informing other decisions made by the CPUC and state agencies. For the ISO itself this includes informing state-wide transmission planning needs for renewables up to a 33% RPS, and informing design of wholesale markets for energy and ancillary services to facilitate provision of integration capacities. The study is designed in two phases. The first (current) phase is focused on operational requirements and addressing these requirements with existing and new conventional fossil generation; for instance, gas turbines and/or combined cycle units. The second (planned) phase will address the same operational requirements with a combination of conventional fossil generation resources, new non-generation resources, and a renewable resource dispatch. There are seven different scenarios considered in the current phase: a 20% RPS reference case; four 33% RPS cases (a reference case, a high out-of-state case, a high distributed generation case, and a low load case); an alternative 27.5% RPS case; and an all-gas case (no new renewables after 2008). In addition, the CPUC is planning a new set of cases that will alter the anticipated sets of runs.
Feed-in Tariff Policy: Design, Implementation, and RPS Policy Interactions
Cory, K.; Couture, T.; Kreycik, C.
2009-03-01T23:59:59.000Z
Feed-in tariff (FIT) policies are implemented in more than 40 countries around the world and are cited as the primary reason for the success of the German and Spanish renewable energy markets. As a result of that success, FIT policy proposals are starting to gain traction in several U.S. states and municipalities. Experience from Europe is also beginning to demonstrate that properly designed FITs may be more cost-effective than renewable portfolio standards (RPS), which make use of competitive solicitations. This article explores the design and operation of feed-in tariff policies, including a FIT policy definition, payment-structure options, and payment differentiation. The article also touches on the potential interactions between FIT policies and RPS policies at the state level.
Bush, C. Allen
Supplementary Data: Monosaccharide Composition and Linkage Analysis of RPS Methods: Glycosyl;corrected by pretreatment of the sample with HF. In the GC-MS of the PMAA, 3-linked rhamnose, 4-linked
Observations on the Optimality Tolerance in the CAISO 33% RPS Model
Yao, Y; Meyers, C; Schmidt, A; Smith, S; Streitz, F
2011-09-22T23:59:59.000Z
In 2008 Governor Schwarzenegger of California issued an executive order requiring that 33 percent of all electricity in the state in the year 2020 should come from renewable resources such as wind, solar, geothermal, biomass, and small hydroelectric facilities. This 33% renewable portfolio standard (RPS) was further codified and signed into law by Governor Brown in 2011. To assess the market impacts of such a requirement, the California Public Utilities Commission (CPUC) initiated a study to quantify the cost, risk, and timing of achieving a 33% RPS by 2020. The California Independent System Operator (CAISO) was contracted to manage this study. The production simulation model used in this study was developed using the PLEXOS software package, which allows energy planners to optimize long-term system planning decisions under a wide variety of system constraints. In this note we describe our observations on varying the optimality tolerance in the CAISO 33% RPS model. In particular, we observe that changing the optimality tolerance from .05% to .5% leads to solutions over 5 times faster, on average, producing very similar solutions with a negligible difference in overall distance from optimality.
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
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 onsource History View New Pagessource HistoryRAPID/Roadmap/6-CO-bRoadmap/9-WA-a <REC HomeRF Micro DevicesRPS JDC Inc
Enact legislation supporting residential property assessed clean energy financing (PACE)
Saha, Devashree
2012-11-15T23:59:59.000Z
Congress should enact legislation that supports residential property assessed clean energy (PACE) programs in the nation’s states and metropolitan areas. Such legislation should require the Federal Housing Finance Agency (FHFA) to allow Fannie Mae and Freddie Mac to purchase residential mortgages with PACE assessments while at the same time providing responsible underwriting standards and a set of benchmarks for residential PACE assessments in order to minimize financial risks to mortgage holders. Congressional support of residential PACE financing will improve energy efficiency, encourage job creation, and foster economic growth in the nation’s state and metropolitan areas.
Doppelhofer, Gernot; Weeks, Melvyn
2011-01-31T23:59:59.000Z
This paper investigates the robustness of determinants of economic growth in the presence of model uncertainty, parameter heterogeneity and outliers. The robust model averaging approach introduced in the paper uses a flexible and parsimonious...
Environmental Robustness in ASR ROBUST2004 -August 30, 2004 Environmental Robustness
Rose, Richard
;3 Environmental Robustness in ASR ROBUST2004 - August 30, 2004 · What is the impact of environmental variability of magnitude relative to landline channel Impact of Environmental Variability An Example 89%70%Traffic1 Environmental Robustness in ASR ROBUST2004 - August 30, 2004 ROBUST2004 Environmental Robustness
N49: the first robust discovery of a recombining plasma in an extra galactic supernova remnant
Uchida, Hiroyuki; Yamaguchi, Hiroya
2015-01-01T23:59:59.000Z
Recent discoveries of recombining plasmas (RPs) in supernova remnants (SNRs) have dramatically changed our understanding of SNR evolution. To date, a dozen of RP SNRs have been identified in the Galaxy. Here we present Suzaku deep observations of four SNRs in the Large Magellanic Cloud (LMC), N49, N49B, N23, and DEM L71, for accurate determination of their plasma state. Our uniform analysis reveals that only N49 is in the recombining state among them, which is the first robust discovery of a RP from an extra-galactic SNR. Given that RPs have been identified only in core-collapse SNRs, our result strongly suggests a massive star origin of this SNR. On the other hand, no clear evidence for a RP is confirmed in N23, from which detection of recombination lines and continua was previously claimed. Comparing the physical properties of the RP SNRs identified so far, we find that all of them are categorized into the "mixed-morphology" class and interacting with surrounding molecular clouds. This might be a key to sol...
Distributionally Robust Convex Optimization
2013-09-22T23:59:59.000Z
Distributionally Robust Convex Optimization. Wolfram Wiesemann1, Daniel Kuhn2, and Melvyn Sim3. 1Imperial College Business School, Imperial College ...
Architecting complex systems for robustness
Slagle, Jason C
2007-01-01T23:59:59.000Z
Robust design methodologies are frequently utilized by organizations to develop robust and reliable complex systems. The intent of robust design is to create systems that are insensitive to variations from production, the ...
Hsiao, Kaijen
2009-01-01T23:59:59.000Z
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 ...
Rojas, James Thomas
1991-01-01T23:59:59.000Z
In this thesis I will examine how residents of East Los Angeles use their front yards and streets to create a sense of "place." The environment created in this way I call "enacted." People are both users and creators of a ...
Robustness of Spatial Micronetworks
McAndrew, Thomas C; Bagrow, James P
2015-01-01T23:59:59.000Z
Power lines, roadways, pipelines and other physical infrastructure are critical to modern society. These structures may be viewed as spatial networks where geographic distances play a role in the functionality and construction cost of links. Traditionally, studies of network robustness have primarily considered the connectedness of large, random networks. Yet for spatial infrastructure physical distances must also play a role in network robustness. Understanding the robustness of small spatial networks is particularly important with the increasing interest in microgrids, small-area distributed power grids that are well suited to using renewable energy resources. We study the random failures of links in small networks where functionality depends on both spatial distance and topological connectedness. By introducing a percolation model where the failure of each link is proportional to its spatial length, we find that, when failures depend on spatial distances, networks are more fragile than expected. Accounting...
2007-08-22T23:59:59.000Z
problems, because it operates directly on the response surface and does not ... In business applications, the cost and selling price as well as the demand of a ... min-max approach, a robust optimal design is one with the best worst-case ...... prevents polynomial SDPs from being used widely in practice (see Kojima 2003).
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...
Pareto Efficiency in Robust Optimization
2012-09-14T23:59:59.000Z
This paper formalizes and adapts the well known concept of Pareto efficiency in the context of the popular robust optimization (RO) methodology. We argue that ...
Robust 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
Robust Linear Optimization With Recourse
2010-05-19T23:59:59.000Z
the maximal expected cost over a family of probability distributions. ... tion, while Takriti and Ahmed described in [35] an application to electricity contracts. ...... The resulting average costs of robust solutions are depicted in Figure 1 (the red ...
Robustness of Controlled Quantum Dynamics
Andy Koswara; Raj Chakrabarti
2014-09-29T23:59:59.000Z
Control of multi-level quantum systems is sensitive to implementation errors in the control field and uncertainties associated with system Hamiltonian parameters. A small variation in the control field spectrum or the system Hamiltonian can cause an otherwise optimal field to deviate from controlling desired quantum state transitions and reaching a particular objective. An accurate analysis of robustness is thus essential in understanding and achieving model-based quantum control, such as in control of chemical reactions based on ab initio or experimental estimates of the molecular Hamiltonian. In this paper, theoretical foundations for quantum control robustness analysis are presented from both a distributional perspective - in terms of moments of the transition amplitude, interferences, and transition probability - and a worst-case perspective. Based on this theory, analytical expressions and a computationally efficient method for determining the robustness of coherently controlled quantum dynamics are derived. The robustness analysis reveals that there generally exists a set of control pathways that are more resistant to destructive interferences in the presence of control field and system parameter uncertainty. These robust pathways interfere and combine to yield a relatively accurate transition amplitude and high transition probability when uncertainty is present.
Robust 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
Robust Single-Qubit Process Calibration via Robust Phase Estimation
Shelby Kimmel; Guang Hao Low; Theodore J. Yoder
2015-02-09T23:59:59.000Z
An important step in building a quantum computer is calibrating experimentally implemented quantum gates to produce operations that are close to ideal unitaries. The calibration step involves estimating the error in gates and then using controls to correct the implementation. Quantum process tomography is a standard technique for estimating these errors, but is both time consuming, (when one only wants to learn a few key parameters), and requires resources, like perfect state preparation and measurement, that might not be available. With the goal of efficiently estimating specific errors using minimal resources, we develop a parameter estimation technique, which can gauge two key parameters (amplitude and off-resonance errors) in a single-qubit gate with provable robustness and efficiency. In particular, our estimates achieve the optimal efficiency, Heisenberg scaling. Our main theorem making this possible is a robust version of the phase estimation procedure of Higgins et al. [B. L. Higgins, New J. Phys. 11, 073023 (2009)].
Not Available
1994-09-01T23:59:59.000Z
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.
Quantification of structural redundancy and robustness
Brett, Colin Joseph
2015-06-29T23:59:59.000Z
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, ...
Determining Robustness of Synchronous Programs under Stuttering
Pace, Gordon J.
University of Malta Malta ingrambondin@gmail.com, gordon.pace@um.edu.mt Abstract--Robustness of embedded
Geometric conditions for robust stability
Chapellat, Herve?
1987-01-01T23:59:59.000Z
) 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...
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
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
Robust maintenance policies for Markovian systems under model uncertainty
Kuhn, K D; Madanat, S M
2006-01-01T23:59:59.000Z
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.
Recent Progress toward Robust Photocathodes
Mulhollan, G. A.; Bierman, J. C. [Saxet Surface Science, Austin, TX 78744 (United States)
2009-08-04T23:59:59.000Z
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.
Quantifying the robustness of metro networks
Wang, Xiangrong; Derrible, Sybil; Ahmad, Sk Nasir; Kooij, Robert E
2015-01-01T23:59:59.000Z
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...
Single-Product Pricing via Robust Optimization
2006-01-30T23:59:59.000Z
manufacturing to fashion retail. Applying probabilistic ... In Section 2, we develop the robust pricing model in the presence of additive uncertainty. We analyze.
Robust Maintenance Policies in Asset Management
Kuhn, Kenneth D.; Madanat, Samer M.
2005-01-01T23:59:59.000Z
Madanat, S. , ‘Optimal Maintenance and Repair Policies inROBUST MAINTENANCE POLICIES IN ASSET MANAGEMENT Kenneth D.approach may reduce maintenance and rehabilitation (M&R)
Costs and benefits of robust optimization
2010-11-13T23:59:59.000Z
papers [3] by Ben-Tal and Nemirovski provides a stability analysis together with a result concerning costs for robust linear optimization under convex uncertainty.
Two Variants of Robust Unit Commitment Model
2013-06-13T23:59:59.000Z
[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.
Robust and Optimum Fractional Factorial Designs
Huang, fu ze
2010-01-01T23:59:59.000Z
4 Robustness of Factorial Designs Summary . . . . . .10 Optimum Fractional Factorial Designs for m = 4 10.0Comparison of fractional factorial designs D 2.1 and D
Robust carbon monolith having hierarchical porosity
Dai, Sheng; Guiohon, Georges A; Liang, Chengdu
2013-02-05T23:59:59.000Z
A carbon monolith includes a robust carbon monolith characterized by a skeleton size of at least 100 nm, and a hierarchical pore structure having macropores and mesopores.
Robust carbon monolith having hierarchical porosity
Dai, Sheng; Guiochon, Georges A; Liang, Chengdu
2014-01-14T23:59:59.000Z
A carbon monolith includes a robust carbon monolith characterized by a skeleton size of at least 100 nm, and a hierarchical pore structure having macropores and mesopores.
Kullback-Leibler Divergence Constrained Distributionally Robust ...
2012-11-23T23:59:59.000Z
was also considered in robust control (Hansen and Sargent 2008). Hansen and Sargent (2008) modeled distribution perturbations of the shock process that ...
A Robust Optimization Framework for Analyzing Distribution ...
2006-02-07T23:59:59.000Z
a distribution system. We demonstrate that our proposed robust optimization framework is analyt- ically tractable and is computationally efficient for analyzing
Recent Advances in Robust Optimization: An Overview
2013-05-23T23:59:59.000Z
They consider a multi-period fixed-charge network location problem for which they ... recoverable robust optimization to train platforming and rolling stock ..... (
Optimization Online - Robust Optimization Submissions - 2013
Mehdi Karimi, Somayeh Moazeni, Levent Tuncel. Robust optimization based self scheduling of hydro-thermal Genco in smart grids. Alireza Soroudi.
Are solar neutrino oscillations robust?
O. G. Miranda; M. A. Tortola; J. W. F. Valle
2006-09-07T23:59:59.000Z
The robustness of the large mixing angle (LMA) oscillation (OSC) interpretation of the solar neutrino data is considered in a more general framework where non-standard neutrino interactions (NSI) are present. Such interactions may be regarded as a generic feature of models of neutrino mass. The 766.3 ton-yr data sample of the KamLAND collaboration are included in the analysis, paying attention to the background from the reaction ^13C(\\alpha,n) ^16O. Similarly, the latest solar neutrino fluxes from the SNO collaboration are included. In addition to the solution which holds in the absence of NSI (LMA-I) there is a 'dark-side' solution (LMA-D) with sin^2 theta_Sol = 0.70, essentially degenerate with the former, and another light-side solution (LMA-0) allowed only at 97% CL. More precise KamLAND reactor measurements will not resolve the ambiguity in the determination of the solar neutrino mixing angle theta_Sol, as they are expected to constrain mainly Delta m^2. We comment on the complementary role of atmospheric, laboratory (e.g. CHARM) and future solar neutrino experiments in lifting the degeneracy between the LMA-I and LMA-D solutions. In particular, we show how the LMA-D solution induced by the simplest NSI between neutrinos and down-type-quarks-only is in conflict with the combination of current atmospheric data and data of the CHARM experiment. We also mention that establishing the issue of robustness of the oscillation picture in the most general case will require further experiments, such as those involving low energy solar neutrinos.
Baxter, Benjamin Andrew
2013-05-24T23:59:59.000Z
Engineered system complexity continues to increase rapidly, concurrent with the requirement for the engineered system to be robust. Robustness is often considered a critical attribute of complex engineered systems, but an exact definition...
Numerical Analysis Department Robustness improvement of
Vuik, Kees
Numerical Analysis Department Robustness improvement of polyhedral mesh method for airbag of polyhedral mesh method for airbag deployment simulations MASTER OF SCIENCE THESIS For the degree of Master entitled ROBUSTNESS IMPROVEMENT OF POLYHEDRAL MESH METHOD FOR AIRBAG DEPLOYMENT SIMULATIONS by SANTIAGO
A Robust Strategy for Sustainable Energy
A Robust Strategy for Sustainable Energy ONCE AGAIN THE debate has intensified over whether energy uncertainties.4 Strategies for long-term energy planning must be robust to unpredictable variations Even if the world's oil resources are indeed plentiful, world energy supply remains very much
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
2015-06-16T23:59:59.000Z
The relationship between network topology and system dynamics has significant implications for unifying our understanding of the interplay among metabolic, gene-regulatory, and ecosystem network architecures. Here we analyze the stability and robustness of a large class of dynamics on such networks. We determine the probability distribution of robustness as a function of network topology and show that robustness is classified by the number of links between modules of the network. We also demonstrate that permutation of these modules is a fundamental symmetry of dynamical robustness. Analysis of these findings leads to the conclusion that the most robust systems have the most hierarchical structure. This relationship provides a means by which evolutionary selection for a purely dynamical phenomenon may shape network architectures across scales of the biological hierarchy.
Empirical comparison of robust, data driven and stochastic optimization
Wang, Yanbo, S.M. Massachusetts Institute of Technology
2008-01-01T23:59:59.000Z
In this thesis, we compare computationally four methods for solving optimization problems under uncertainty: * Robust Optimization (RO) * Adaptive Robust Optimization (ARO) * Data Driven Optimization (DDO) * stochastic ...
Robust execution for stochastic hybrid systems
Blackmore, Lars James Christopher
2007-01-01T23:59:59.000Z
Unmanned systems, such as Autonomous Underwater Vehicles (AUVs), planetary rovers and space probes, have enormous potential in areas such as reconnaissance and space exploration. However the effectiveness and robustness ...
Gaussian Quadrature for computer aided robust design
Reber, Geoffrey Scott, 1979-
2004-01-01T23:59:59.000Z
Computer aided design has allowed many design decisions to be made before hardware is built through "virtual" prototypes: computer simulations of an engineering design. To produce robust systems noise factors must also be ...
Robust System Design | Argonne Leadership Computing Facility
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Robust System Design Event Sponsor: Mathematics and Computing Science Seminar Start Date: May 5 2015 - 2:00pm BuildingRoom: Building 240Room 1406-1407 Location: Argonne National...
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 ...
Robust Optimization of Nanometer SRAM Designs
Dayal, Akshit
2011-02-22T23:59:59.000Z
-linear, robust optimization framework to design an SRAM cell, for a 45 nm CMOS technology, having optimal performance, according to bounds specified for the circuit performance parameters, with the objective of minimizing on-chip area. This statistically aware...
Robust adaptive control of switched systems
El-Rifai, Khalid, 1979-
2007-01-01T23:59:59.000Z
In this thesis, robust adaptive controllers are developed for classes of switched nonlinear systems. Switched systems are those governed by differential equations, which undergo vector field switching due to sudden changes ...
Hierarchical Network Structure Promotes Dynamical Robustness
Cameron Smith; Raymond S. Puzio; Aviv Bergman
2014-12-01T23:59:59.000Z
The analysis of dynamical systems that attempts to model chemical reaction, gene-regulatory, population, and ecosystem networks all rely on models having interacting components. When the details of these interactions are unknown for biological systems of interest, one effective approach is to study the dynamical properties of an ensemble of models determined by evolutionary constraints that may apply to all such systems. One such constraint is that of dynamical robustness. Despite previous investigations, the relationship between dynamical robustness-an important functional characteristic of many biological systems-and network structure is poorly understood. Here we analyze the stability and robustness of a large class of dynamical systems and demonstrate that the most hierarchical network structures, those equivalent to the total ordering, are the most robust. In particular, we determine the probability distribution of robustness over system connectivity and show that robustness is maximized by maximizing the number of links between strongly connected components of the graph representing the underlying system connectivity. We demonstrate that this can be understood in terms of the fact that permutation of strongly connected components is a fundamental symmetry of dynamical robustness, which applies to networks of any number of components and is independent of the distribution from which the strengths of interconnection among components are sampled. The classification of dynamical robustness based upon a purely topological property provides a fundamental organizing principle that can be used in the context of experimental validation to select among models that break or preserve network hierarchy. This result contributes to an explanation for the observation of hierarchical modularity in biological networks at all scales.
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports to3,1,50022,3,,0,,6,1,Separation 23 362 334 318 706 802 1979-2013October 3, 2002 (next release 2:00BOETABLE4.PDFLNG
RPS Customer-Sited Tier Regional Program
Broader source: Energy.gov [DOE]
Note: The first proposal deadline was recently extended from November 8, 2012 to December 5, 2012. Subsequent proposal deadlines remain unchanged.
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
Optimally Robust Kalman Filtering at Work: AO-, IO-, and Simultaneously IO-and AO-Robust Filters
Ruckdeschel, Peter
Optimally Robust Kalman Filtering at Work: AO-, IO-, and Simultaneously IO- and AO- Robust Filters Abstract We take up optimality results for robust Kalman filtering from Ruckdeschel (2001, 2010) where. (2006), Fried et al. (2007). Keywords: robustness, Kalman Filter, innovation outlier, additive outlier
Robust estimation procedure in panel data model
Shariff, Nurul Sima Mohamad [Faculty of Science of Technology, Universiti Sains Islam Malaysia (USIM), 71800, Nilai, Negeri Sembilan (Malaysia); Hamzah, Nor Aishah [Institute of Mathematical Sciences, Universiti Malaya, 50630, Kuala Lumpur (Malaysia)
2014-06-19T23:59:59.000Z
The panel data modeling has received a great attention in econometric research recently. This is due to the availability of data sources and the interest to study cross sections of individuals observed over time. However, the problems may arise in modeling the panel in the presence of cross sectional dependence and outliers. Even though there are few methods that take into consideration the presence of cross sectional dependence in the panel, the methods may provide inconsistent parameter estimates and inferences when outliers occur in the panel. As such, an alternative method that is robust to outliers and cross sectional dependence is introduced in this paper. The properties and construction of the confidence interval for the parameter estimates are also considered in this paper. The robustness of the procedure is investigated and comparisons are made to the existing method via simulation studies. Our results have shown that robust approach is able to produce an accurate and reliable parameter estimates under the condition considered.
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
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
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
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
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
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
Hafstein, Sigurður Freyr
Introduction Relationship between ISS and Robust Lyapunov Functions Computing Local Robust Lyapunov Functions by Linear Programming Computing Lo Computation of Local ISS Lyapunov Function Via Linear;Introduction Relationship between ISS and Robust Lyapunov Functions Computing Local Robust Lyapunov Functions
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
Robust Optimization with Multiple Ranges: Theory and Application ...
2010-09-23T23:59:59.000Z
develop a robust ranking heuristic, where the project manager ranks the projects according to densities ... ?Department of Industrial and Systems Engineering, Lehigh University, ...... Robust optimization models for energy-limited wireless sen-.
Development of a Robust Accelerometer-based Start of Combustion...
a Robust Accelerometer-based Start of Combustion Sensing System Development of a Robust Accelerometer-based Start of Combustion Sensing System Presentation from the U.S. DOE Office...
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,...
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
Investigating Army systems and Systems of Systems for value robustness
Koo, Kevin C. K. (Kevin Cheng Keong)
2010-01-01T23:59:59.000Z
This thesis proposes a value robustness approach to architect defense systems and Systems of Systems (SoS). A value robust system or SoS has the ability to provide continued value to stakeholders by performing well to meet ...
Wind Vision: New Report Highlights a Robust Wind Energy Future...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Wind Vision: New Report Highlights a Robust Wind Energy Future Wind Vision: New Report Highlights a Robust Wind Energy Future March 12, 2015 - 11:40am Addthis The
Robust diffusion imaging framework for clinical studies
Maximov, Ivan I; Neuner, Irene; Shah, N Jon
2015-01-01T23:59:59.000Z
Clinical diffusion imaging requires short acquisition times and good image quality to permit its use in various medical applications. In turn, these demands require the development of a robust and efficient post-processing framework in order to guarantee useful and reliable results. However, multiple artefacts abound in in vivo measurements; from either subject such as cardiac pulsation, bulk head motion, respiratory motion and involuntary tics and tremor, or imaging hardware related problems, such as table vibrations, etc. These artefacts can severely degrade the resulting images and render diffusion analysis difficult or impossible. In order to overcome these problems, we developed a robust and efficient framework enabling the use of initially corrupted images from a clinical study. At the heart of this framework is an improved least trimmed squares diffusion tensor estimation algorithm that works well with severely degraded datasets with low signal-to-noise ratio. This approach has been compared with other...
Static and Dynamic Analysis for Robustness under Slowdown
Pace, Gordon J.
of Malta Malta ingrambondin@gmail.com, gordon.pace@um.edu.mt Abstract--Robustness of embedded systems
Robust design using sequential computer experiments
Gupta, Abhishek
2004-09-30T23:59:59.000Z
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. [Univ. of Missouri - St. Louis, St. Louis, MO (United States); Granger, Brian R. [Boston Univ., MA (United States); Segre, Daniel [Boston Univ., MA (United States); Harcombe, William R. [Univ. of Minnesota, St. Paul, MN (United States)
2015-04-14T23:59:59.000Z
Conflict and cooperation between bacterial species drive the composition and function of microbial communities. Stability of these emergent properties will be influenced by the degree to which species' interactions are robust to genetic perturbations. We use genome-scale metabolic modeling to computationally analyze the impact of genetic changes when Escherichia coli and Salmonella enterica compete, or cooperate. We systematically knocked out in silico each reaction in the metabolic network of E. coli to construct all 2583 mutant stoichiometric models. Then, using a recently developed multi-scale computational framework, we simulated the growth of each mutant E. coli in the presence of S. enterica. The type of interaction between species was set by modulating the initial metabolites present in the environment. We found that the community was most robust to genetic perturbations when the organisms were cooperating. Species ratios were more stable in the cooperative community, and community biomass had equal variance in the two contexts. Additionally, the number of mutations that have a substantial effect is lower when the species cooperate than when they are competing. In contrast, when mutations were added to the S. enterica network the system was more robust when the bacteria were competing. These results highlight the utility of connecting metabolic mechanisms and studies of ecological stability. Cooperation and conflict alter the connection between genetic changes and properties that emerge at higher levels of biological organization.
Robust interface between flying and topological qubits
Zheng-Yuan Xue; Ming Gong; Jia Liu; Yong Hu; Shi-Liang Zhu; Z. D. Wang
2014-10-29T23:59:59.000Z
Hybrid architectures, consisting of conventional and topological qubits, have recently attracted much attention due to their capability in consolidating the robustness of topological qubits and the universality of conventional qubits. However, these two kinds of qubits are normally constructed in significantly different energy scales, and thus this energy mismatch is a major obstacle for their coupling that supports the exchange of quantum information between them. Here, we propose a microwave photonic quantum bus for a direct strong coupling between the topological and conventional qubits, in which the energy mismatch is compensated by the external driving field via the fractional ac Josephson effect. In the framework of tight-binding simulation and perturbation theory, we show that the energy splitting of the topological qubits in a finite length nanowire is still robust against local perturbations, which is ensured not only by topology, but also by the particle-hole symmetry. Therefore, the present scheme realizes a robust interface between the flying and topological qubits. Finally, we demonstrate that this quantum bus can also be used to generate multipartitie entangled states with the topological qubits.
Species interactions differ in their genetic robustness
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Chubiz, Lon M.; Granger, Brian R.; Segre, Daniel; Harcombe, William R.
2015-04-14T23:59:59.000Z
Conflict and cooperation between bacterial species drive the composition and function of microbial communities. Stability of these emergent properties will be influenced by the degree to which species' interactions are robust to genetic perturbations. We use genome-scale metabolic modeling to computationally analyze the impact of genetic changes when Escherichia coli and Salmonella enterica compete, or cooperate. We systematically knocked out in silico each reaction in the metabolic network of E. coli to construct all 2583 mutant stoichiometric models. Then, using a recently developed multi-scale computational framework, we simulated the growth of each mutant E. coli in the presence of S.more »enterica. The type of interaction between species was set by modulating the initial metabolites present in the environment. We found that the community was most robust to genetic perturbations when the organisms were cooperating. Species ratios were more stable in the cooperative community, and community biomass had equal variance in the two contexts. Additionally, the number of mutations that have a substantial effect is lower when the species cooperate than when they are competing. In contrast, when mutations were added to the S. enterica network the system was more robust when the bacteria were competing. These results highlight the utility of connecting metabolic mechanisms and studies of ecological stability. Cooperation and conflict alter the connection between genetic changes and properties that emerge at higher levels of biological organization.« less
The Application of Robust Optimization in Power Systems
unit commitment and robust corrective topology control. The optimal power flow models used within partThe Application of Robust Optimization in Power Systems Final Project Report Power Systems Application of Robust Optimization in Power Systems Final Project Report Dr. Kory W. Hedman, Project Leader
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
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
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
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
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
2010-01-01T23:59:59.000Z
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
After 2020: prospects for Higher RPS Levels inHigher RPS Levels in
UPDATE Preliminary DRAFT. For discussion only #12;400 ppm CO2 Concentration Landmark Reached May 2013 #12;Atmospheric CO2 Record Today Atmospheric CO2 record over last 420,000 years from Antarctic ice Today (400 ppm Path to Deep Greenhouse Gas Emissions Cuts by 2050: The Pivotal Role of Electricity," Williams et al
Marine Mammals Enact Individual Worlds
Delfour, Fabienne
2010-01-01T23:59:59.000Z
false killer whales (Pseudorca crassidens) and Californiafalse killer whales (Pseudorca crassidens) and sea lions (
Rapid and robust spin state amplification
Tom Close; Femi Fadugba; Simon C. Benjamin; Joseph Fitzsimons; Brendon W. Lovett
2011-05-24T23:59:59.000Z
Electron and nuclear spins have been employed in many of the early demonstrations of quantum technology (QT). However applications in real world QT are limited by the difficulty of measuring single spins. Here we show that it is possible to rapidly and robustly amplify a spin state using a lattice of ancillary spins. The model we employ corresponds to an extremely simple experimental system: a homogenous Ising-coupled spin lattice in one, two or three dimensions, driven by a continuous microwave field. We establish that the process can operate at finite temperature (imperfect initial polarisation) and under the effects of various forms of decoherence.
Sensitivity approximation for robust stability and tracking
McLean, Chris Steven
1984-01-01T23:59:59.000Z
) 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...
An alternative robustness measure with applications
Kellison, Floyd Wesley
1990-01-01T23:59:59.000Z
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...
A robustness application for linear estimation
Kitzman, Kenneth Victor
1990-01-01T23:59:59.000Z
the maximization of a, term which reflects the ' contributions of both estimator robustness and performance. Recall from Chapter II that we denote this term as J = q P. + (1 ? q) %. , where q can vary, according to the estimator application, between zero... error formula, we recall from Chapter II tlrat the maximum of this performance value is achieved at the point E[XY] E[Xz] Recall that our example nominal densities are Jz+y, if0?*1, 0&y&1; ), 0, otherwise, f ()z+z, if0&z&1; I 0, otherwise. 23 I...
On the Power of Robust Solutions in Two-Stage Stochastic and ...
Megiddo
2009-06-09T23:59:59.000Z
Key words: robust optimization ; stochastic optimization ; adaptive optimization ... OR/MS subject classification: Primary: Robust Optimization/ Stochastic ...
Optimization Online - Sparse/Robust Estimation and Kalman ...
Aleksandr Aravkin
2012-02-29T23:59:59.000Z
Feb 29, 2012 ... Sparse/Robust Estimation and Kalman Smoothing with Nonsmooth Log-Concave Densities: Modeling, Computation, and Theory. Aleksandr ...
Robust counterparts of inequalities containing sums of maxima of ...
2014-08-19T23:59:59.000Z
Kropat and Weber (2008) consider a robust linear cluster regression model ... We provide an overview of exact (non-conservative) formulations, approximations,.
Robust Diamond-Based RF Switch Yields Enhanced Communication...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Robust Diamond-Based RF Switch Yields Enhanced Communication Capabilities Technology available for licesning: A radio frequency (RF) microelectromechanical system (MEMS) switch...
Robust Maintenance Policies for Markovian Systems under Model Uncertainty
Kuhn, Kenneth D.; Madanat, Samer M.
2005-01-01T23:59:59.000Z
Robust Maintenance Policies for Markovian Systems underWu, M.I. (1987), Optimal maintenance decisions for pavementapproach may reduce maintenance and rehabilitation (M&R)
Robust maintenance policies for Markovian systems under model uncertainty
Kuhn, K D; Madanat, S M
2006-01-01T23:59:59.000Z
Robust Maintenance Policies for Markovian Systems underWu, M.I. (1987), Optimal maintenance decisions for pavementapproach may reduce maintenance and rehabilitation (M&R)
Optimization Online - Costs and benefits of robust optimization
Ralf Werner
2010-11-13T23:59:59.000Z
Nov 13, 2010 ... Abstract: In this exposition the robust counterpart approach by Ben-Tal, El Ghaoui and Nemirovski is investigated with respect to its costs and ...
An Efficient Algorithm for Computing Robust Minimum Capacity st Cuts
Doug Altner
2008-03-20T23:59:59.000Z
Mar 20, 2008 ... In this paper, we present an efficient algorithm for computing minimum capacity s-t cuts under a polyhedral model of robustness. Our algorithm ...
Efficient approaches for the robust network loading problem
2014-10-14T23:59:59.000Z
The next section presents the formulations of the robust network load-. 3 ...... Figure 1: Performance profile comparing Compact-2, Benders-3, and Benders-4 for ...
Development of a Robust Accelerometer-based Start of Combustion...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Robust Accelerometer-based Start of Combustion Sensing System Jim Huang Westport Innovations February 27 th 2008 This presentation does not contain any proprietary or confidential...
ADAPTIVE AND ROBUST TECHNIQUES (ART) FOR THERMOACOUSTIC TOMOGRAPHY
Xie, Yao
ADAPTIVE AND ROBUST TECHNIQUES (ART) FOR THERMOACOUSTIC TOMOGRAPHY By YAO XIE A DISSERTATION.1 Thermoacoustic Tomography . . . . . . . . . . . . . . . . . . . . . 1 1.2 Image Reconstruction Algorithms for TAT
Optimization Online - Robust Energy Cost Optimization of Water ...
Alexander Goryashko
2011-02-21T23:59:59.000Z
Feb 21, 2011 ... Robust Energy Cost Optimization of Water Distribution System with Uncertain Demand. Alexander Goryashko(ale_gory ***at*** rambler.ru)
Robustness of the detection probability for the sign detector
Huse, Elizabeth Ann
2003-01-01T23:59:59.000Z
][theta]-compression (Gaussian, Laplace, hyperbolic secant, etc.) are used. Then we examine the robustness for unbiased perturbations on a generalized Gaussian density....
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 ...
Min-max-min robustness: a new approach to combinatorial ...
2015-02-06T23:59:59.000Z
model, but also external influences such as traffic or changing regulations ..... [11] Melvyn, S., “Robust optimization,” Ph.D. thesis, Massachusetts Institute of.
Optimization Online - Robust optimization based self scheduling of ...
Alireza Soroudi
2013-12-29T23:59:59.000Z
Dec 29, 2013 ... Robust optimization based self scheduling of hydro-thermal Genco in smart grids. Alireza Soroudi (alireza.soroudi ***at*** gmail.com). Abstract: ...
Robust quantum searching with spontaneously decaying qubits
Robert J. C. Spreeuw; Tom W. Hijmans
2007-06-29T23:59:59.000Z
We present a modification of the standard single-item quantum search procedure that acquires robustness from spontaneous decay of the qubits. This damps the usual oscillation of populations, driving the system to a steady state with a strongly enhanced population of the solution. Numerical evaluation of the steady state was performed for up to 36 qubits. The huge size of the state space in our analysis is dealt with by exploiting a symmetry in the master equation that reduces the scaling of computer resources from exponential to polynomial. Based on these results we estimate that an error-free solution can be retrieved from the steady state after O(log log N) repetitions, with near-unit probability. This brings the overall scaling to O(sqrt{N} log log N), only slightly worse than for the ideal quantum case.
Is superhydrophobicity robust with respect to disorder?
Joël De Coninck; François Dunlop; Thierry Huillet
2013-08-19T23:59:59.000Z
We consider theoretically the Cassie-Baxter and Wenzel states describing the wetting contact angles for rough substrates. More precisely, we consider different types of periodic geometries such as square protrusions and disks in 2D, grooves and nanoparticles in 3D and derive explicitly the contact angle formulas. We also show how to introduce the concept of surface disorder within the problem and, inspired by biomimetism, study its effect on superhydrophobicity. Our results, quite generally, prove that introducing disorder, at fixed given roughness, will lower the contact angle: a disordered substrate will have a lower contact angle than a corresponding periodic substrate. We also show that there are some choices of disorder for which the loss of superhydrophobicity can be made small, making superhydrophobicity robust.
Robust bearing estimation for 3-component stations
CLAASSEN,JOHN P.
2000-02-01T23:59:59.000Z
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.
Calibration robust entanglement detection beyond Bell inequalities
Tobias Moroder; Oleg Gittsovich
2011-11-25T23:59:59.000Z
In its vast majority entanglement verification is examined either in the complete characterized or totally device independent scenario. The assumptions imposed by these extreme cases are often either too weak or strong for real experiments. Here we investigate this detection task for the intermediate regime where partial knowledge of the measured observables is known, considering cases like orthogonal, sharp or only dimension bounded measurements. We show that for all these assumptions it is not necessary to violate a corresponding Bell inequality in order to detect entanglement. We derive strong detection criteria that can be directly evaluated for experimental data and which are robust against large classes of calibration errors. The conditions are even capable of detecting bound entanglement under the sole assumption of dimension bounded measurements.
Efficient and robust gradient enhanced Kriging emulators.
Dalbey, Keith R.
2013-08-01T23:59:59.000Z
%E2%80%9CNaive%E2%80%9D or straight-forward Kriging implementations can often perform poorly in practice. The relevant features of the robustly accurate and efficient Kriging and Gradient Enhanced Kriging (GEK) implementations in the DAKOTA software package are detailed herein. The principal contribution is a novel, effective, and efficient approach to handle ill-conditioning of GEK's %E2%80%9Ccorrelation%E2%80%9D matrix, RN%CC%83, based on a pivoted Cholesky factorization of Kriging's (not GEK's) correlation matrix, R, which is a small sub-matrix within GEK's RN%CC%83 matrix. The approach discards sample points/equations that contribute the least %E2%80%9Cnew%E2%80%9D information to RN%CC%83. Since these points contain the least new information, they are the ones which when discarded are both the easiest to predict and provide maximum improvement of RN%CC%83's conditioning. Prior to this work, handling ill-conditioned correlation matrices was a major, perhaps the principal, unsolved challenge necessary for robust and efficient GEK emulators. Numerical results demonstrate that GEK predictions can be significantly more accurate when GEK is allowed to discard points by the presented method. Numerical results also indicate that GEK can be used to break the curse of dimensionality by exploiting inexpensive derivatives (such as those provided by automatic differentiation or adjoint techniques), smoothness in the response being modeled, and adaptive sampling. Development of a suitable adaptive sampling algorithm was beyond the scope of this work; instead adaptive sampling was approximated by omitting the cost of samples discarded by the presented pivoted Cholesky approach.
Evolution of Mutational Robustness in an RNA Virus
Froissart, Rémy
Evolution of Mutational Robustness in an RNA Virus Rebecca Montville1[ , Remy Froissart1[¤a Evolution de Micro- Organismes, Henri Huchard, Paris, France Mutational (genetic) robustness is phenotypic of evolution because phenotypically expressed genetic variation is the fuel of natural selection. Nonetheless
Robustness of genuine tripartite entanglement under collective dephasing
Mazhar Ali
2015-05-26T23:59:59.000Z
We study robustness of genuine multipartite entanglement for a system of three qubits under collective dephasing. Using a computable entanglement monotone for multipartite systems, we found that almost every state is quite robust under this type of decoherence. We analyze random states and weighted graph states at infinity and found all of them to be genuinely entangled.
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
Survey on (Some) Nonparametric and Robust Multivariate Methods
Serfling, Robert
Survey on (Some) Nonparametric and Robust Multivariate Methods Robert Serfling University of Texas) #12;CONTENTS Survey on (Some) Nonparametric and Robust Multivariate Methods i Goals, and an Apology Multivariate Inference and Analysis. My sincere apologies for: limited topics, unlimited omissions, limited
Robust Reinforcement Learning Control with Static and Dynamic Stability
Kretchmar, R. Matthew
Typical controller design techniques are based on a mathematical model that captures as much as possible for the plant model, but for the real plant. Robust control theory addresses this goal by including in the model, or known and nonlinear, parts of the plant. Robust control techniques are applied to the plant model
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
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
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 Secure Transmission in MISO Channels With Imperfect ECSI
Swindlehurst, A. Lee
Robust Secure Transmission in MISO Channels With Imperfect ECSI Jing Huang and A. Lee Swindlehurst.huang; swindle}@uci.edu Abstract--This paper studies robust transmission schemes for MISO wiretap channels-input single-output (MISO) wiretap cannels, the optimal transmit covariance matrix was found to be single
Robust 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
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
Robustness of Effective Server Assignment Policies to Service Time Distributions
Ayhan, Hayriye
Robustness of Effective Server Assignment Policies to Service Time Distributions H. Eser Kirkizlar@isye.gatech.edu 607-777-2106, 404-894-3933, 404-894-2308 Abstract We study the assignment of flexible servers that the effective assignment of flexible servers is robust to the service time distributions. We provide analytical
Asymptotic Equivalence and Adaptive Estimation for Robust Nonparametric Regression
Zhou, Harrison Huibin
Asymptotic Equivalence and Adaptive Estimation for Robust Nonparametric Regression T. Tony Cai1 and Harrison H. Zhou2 University of Pennsylvania and Yale University Abstract Asymptotic equivalence theory. In this paper we develop asymptotic equivalence results for robust nonparametric regression with unbounded loss
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
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
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
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 quantum data locking from phase modulation
Cosmo Lupo; Mark M. Wilde; Seth Lloyd
2014-08-29T23:59:59.000Z
Quantum data locking is a unique quantum phenomenon that allows a relatively short key to (un)lock an arbitrarily long message encoded in a quantum state, in such a way that an eavesdropper who measures the state but does not know the key has essentially no information about the encrypted message. The application of quantum data locking in cryptography would allow one to overcome the limitations of the one-time pad encryption, which requires the key to have the same length as the message. However, it is known that the strength of quantum data locking is also its Achilles heel, as the leakage of a few bits of the key or the message may in principle allow the eavesdropper to unlock a disproportionate amount of information. In this paper we show that there exist quantum data locking schemes that can be made robust against information leakage by increasing the length of the shared key by a proportionate amount. This implies that a constant size key can still encrypt an arbitrarily long message as long as a fraction of it remains secret to the eavesdropper. Moreover, we greatly simplify the structure of the protocol by proving that phase modulation suffices to generate strong locking schemes, paving the way to optical experimental realizations. Also, we show that successful data locking protocols can be constructed using random codewords, which very well could be helpful in discovering random codes for data locking over noisy quantum channels.
Design of a robust superhydrophobic surface: thermodynamic and kinetic analysis
Anjishnu Sarkar; Anne-Marie Kietzig
2014-12-17T23:59:59.000Z
The design of a robust superhydrophobic surface is a widely pursued topic.While many investigations are limited to applications with high impact velocities (for raindrops of the order of a few m/s), the essence of robustness is yet to be analyzed for applications involving quasi-static liquid transfer.To achieve robustness with high impact velocities, the surface parameters (geometrical details, chemistry) have to be selected from a narrow range of permissible values, which often entail additional manufacturing costs.From the dual perspectives of thermodynamics and mechanics, we analyze the significance of robustness for quasi-static drop impact, and present the range of permissible surface characteristics.For surfaces with a Youngs contact angle greater than 90{\\deg} and square micropillar geometry, we show that robustness can be enforced when an intermediate wetting state (sagged state) impedes transition to a wetted state (Wenzel state).From the standpoint of mechanics, we use available scientific data to prove that a surface with any topology must withstand a pressure of 117 Pa to be robust.Finally, permissible values of surface characteristics are determined, which ensure robustness with thermodynamics (formation of sagged state) and mechanics (withstanding 117 Pa).
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
Robustness improvement of polyhedral mesh method for airbag deployment simulations.
Vuik, Kees
Robustness improvement of polyhedral mesh method for airbag deployment simulations. TU Delft Description Airbag flexible membrane. Modeled by equations of elasticity, solved numerically using FEM Flow and Problem Description Airbag triangulation intersects in arbitrary way the Cartesian Mesh. Cartesian cells
Applications of broad class knowledge for noise robust speech recognition
Sainath, Tara N
2009-01-01T23:59:59.000Z
This thesis introduces a novel technique for noise robust speech recognition by first describing a speech signal through a set of broad speech units, and then conducting a more detailed analysis from these broad classes. ...
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
Robust Parameter Identification with Adaptive Sparse Grid-based ...
Maia Mahoney
2008-09-22T23:59:59.000Z
deterministic algorithms. This information ... parameter robustness analysis method that can be applied to any type of ... the possible parameter space using stochastic (such as the ..... sensitivity analyses were not performed as they quantify the.
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
Application of robust and inverse optimization in transportation
Nguyen, Thai Dung
2010-01-01T23:59:59.000Z
We study the use of inverse and robust optimization to address two problems in transportation: finding the travel times and designing a transportation network. We assume that users choose the route selfishly and the flow ...
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
Robust randomized trajectory planning for satellite attitude tracking control
Barker, Drew R. (Drew Richard), 1981-
2006-01-01T23:59:59.000Z
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 ...
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
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
A network approach for power grid robustness against cascading failures
Wang, Xiangrong; Kooij, Robert E; Van Mieghem, Piet
2015-01-01T23:59:59.000Z
Cascading failures are one of the main reasons for blackouts in electrical power grids. Stable power supply requires a robust design of the power grid topology. Currently, the impact of the grid structure on the grid robustness is mainly assessed by purely topological metrics, that fail to capture the fundamental properties of the electrical power grids such as power flow allocation according to Kirchhoff's laws. This paper deploys the effective graph resistance as a metric to relate the topology of a grid to its robustness against cascading failures. Specifically, the effective graph resistance is deployed as a metric for network expansions (by means of transmission line additions) of an existing power grid. Four strategies based on network properties are investigated to optimize the effective graph resistance, accordingly to improve the robustness, of a given power grid at a low computational complexity. Experimental results suggest the existence of Braess's paradox in power grids: bringing an additional li...
The robustness of block truncation coding for image compression
Hinojosa, Teresa Yvonne
1995-01-01T23:59:59.000Z
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...
A New Cone Programming Approach for Robust Portfolio Selection ?
2006-12-22T23:59:59.000Z
Dec 10, 2006 ... Let us consider a discrete-time market with n traded assets. The vector of asset ...... We next report the performance of the classical portfolio and the robust portfolios corre- sponding to our ..... Utilities (Gas & Electric). EMR.
Robust Distributed Power Control in Cognitive Radio Networks
fard, Saeideh Parsaei
2011-01-01T23:59:59.000Z
We propose a robust distributed uplink power allocation algorithm for underlay cognitive radio networks (CRNs) with a view to maximizing the total utility of secondary users (SUs) when channel gains from SUs to primary base stations, and interference caused by primary users (PUs) to the SUs' base station are uncertain. In doing so, we utilize the worst-case robust optimization to keep the interference caused by SUs to each primary base station below a given threshold, and satisfy the SUs' quality of service for all realizations of uncertainty. We model each uncertain parameter by a bounded distance between its estimated and exact values, and formulate the robust power allocation problem via protection values for constraints. We demonstrate that the convexity of our problem is preserved, and in some cases converts into a geometric programming problem, which we solve via a distributed algorithm by using Lagrange dual decomposition. To reduce the cost of robustness, defined as the reduction in the total utility ...
Robust 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...
A Robust Platform for the Synthesis of New Tetracycline Antibiotics
A Robust Platform for the Synthesis of New Tetracycline Antibiotics Cuixiang Sun, Qiu Wang, Jason D potent antibiotic activities, both in bacterial cell culture and in vivo. The platform for tetracycline
Optimization Online - Robust and Data-Driven Optimization: Modern ...
Dimitris Bertsimas
2006-05-12T23:59:59.000Z
May 12, 2006 ... Robust and Data-Driven Optimization: Modern Decision-Making Under ... The purpose of this tutorial is to present a mathematical framework that is well-suited to the limited information ... Visitors, Authors, More about us, Links.
A comparison of routing sets for robust network design
2013-07-24T23:59:59.000Z
seen as a single stage robust program where the set of routings paths together ... called a routing template, which is used by all demand vectors in the uncertainty set. ...... A flexible model for resource management in virtual private networks.
Robust, goal-directed plan execution with bounded risk
Ono, Masahiro, Ph. D. Massachusetts Institute of Technology
2012-01-01T23:59:59.000Z
There is an increasing need for robust optimal plan execution for multi-agent systems in uncertain environments, while guaranteeing an acceptable probability of success. For example, a fleet of unmanned aerial vehicles ...
Robust decision-making with model uncertainty in aerospace systems
Bertuccelli, Luca Francesco, 1981-
2008-01-01T23:59:59.000Z
Actual performance of sequential decision-making problems can be extremely sensitive to errors in the models, and this research addressed the role of robustness in coping with this uncertainty. The first part of this thesis ...
Solving Two-stage Robust Optimization Problems by A Constraint ...
2011-06-17T23:59:59.000Z
However, to the best of our knowledge, except the work in ..... In practice, the demand is unknown before any facility is built and capacity is installed. Its uncertainty ..... Robust unit commitment problem with demand response and wind energy.
Trajectory planning for unmanned vehicles using robust receding horizon control
Kuwata, Yoshiaki, 1978-
2007-01-01T23:59:59.000Z
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 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 ...
Robust crew pairing : delays analysis and implementation of optimization approaches
Leroyer, Pierre, S.M. Massachusetts Institute of Technology
2006-01-01T23:59:59.000Z
With increasing delays and airport congestion that disturb airline operations, the development of robust schedules is becoming crucial. Increased traffic and poor weather are a few of the causes of airport congestion, ...
Robustness of optimal binary filters: analysis and design
Grigoryan, Artyom M
1999-01-01T23:59:59.000Z
designed. This problem is crucial for practical application since filters will always be applied to image processes that deviate from design processes. The present work treats the general concept of robust binary alters in the Bayesian framework, derives...
Robust Precoder for Multiuser MISO Downlink with SINR Constraints
Ubaidulla, P
2008-01-01T23:59:59.000Z
In this paper, we consider linear precoding with SINR constraints for the downlink of a multiuser MISO (multiple-input single-output) communication system in the presence of imperfect channel state information (CSI). The base station is equipped with multiple transmit antennas and each user terminal is equipped with a single receive antenna. We propose a robust design of linear precoder which transmits minimum power to provide the required SINR at the user terminals when the true channel state lies in a region of a given size around the channel state available at the transmitter. We show that this design problem can be formulated as a Second Order Cone Program (SOCP) which can be solved efficiently. We compare the performance of the proposed design with some of the robust designs reported in the literature. Simulation results show that the proposed robust design provides better performance with reduced complexity.
Robust packaging system for diesel/natural gas oxidation catalysts
Gulati, S.T.; Sherwood, D.L. [Corning, Inc., NY (United States); Corn, S.H.
1996-09-01T23:59:59.000Z
The 290,000 vehicle-mile durability requirement for diesel/natural gas oxidation catalysts calls for robust packaging systems which ensure a positive mounting pressure on the ceramic flow-through converter under all operating conditions. New data for substrate/washcoat interaction, intumescent mat performance in dry and wet states, and high temperature strength and oxidation resistance of stainless steels, and canning techniques insensitive to tolerance stack-up are reviewed which help optimize packaging durability. Factors contributing to robustness of converter components are identified and methods to quantify their impact on design optimization are described.
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
Robustness improvement of polyhedral mesh method for airbag deployment simulations.
Vuik, Kees
Robustness improvement of polyhedral mesh method for airbag deployment simulations. TU Delft to simulate the deployment of airbags. The solution is approximated using Euler's equations d dt qd + S (q the boundary of the object immersed in the flow, the airbag. The geometry of the airbag is preserved
Robust Preconditioning of Large, Sparse, Symmetric Eigenvalue Problems
Stathopoulos, Andreas
Robust Preconditioning of Large, Sparse, Symmetric Eigenvalue Problems Andreas Stathopoulos \\Lambda large, sparse, symmetric eigenvalue problems ofÂ ten encounter convergence difficulties because of ill for A to be real, symmetric, and frequently very large and sparse [17, 7]. Advances in technology allow scientists
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
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
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
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
Robust Neuroimaging-Based Classification Techniques of Autistic vs. Typically
Farag, Aly A.
abnormalities in several brain regions. Increased head size was the first observed characteristic in children1 Robust Neuroimaging-Based Classification Techniques of Autistic vs. Typically Developing Brain with autism. According to the published studies, different anatomical structures of the brain have been
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
2000-05-08T23:59:59.000Z
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.
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
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
Motorcycle Riding Simulator: How to Estimate Robustly the Rider's Action?
Paris-Sud XI, Université de
. The reconstructed torque is used as the main control of the virtual motorcycle dynamic model, in order to actuate the simulator's platform. The steering system is modeled as a haptic display subjected to a couple of action of the real tire-road contact. The control approach is based on a robust tracking problem of a reference
DISSERTATION A SYNTHESIS OF REINFORCEMENT LEARNING AND ROBUST CONTROL THEORY
Anderson, Charles W.
controllers are designed not on the physical plant to be controlled, but on a mathematical model of the plant. Robust control overcomes this problem by adding uncertainty to the mathematical model. The result is a more general, less aggressive controller which performs well on both the model and the physical plant
Benefits of Multiple TX Powers Robustness to Beacon Node Failure
Chen, Yiling
the partial failure of the infrastructure. Our system, called MoteTrack, is based on low-power radios coupledAccuracy Benefits of Multiple TX Powers Robustness to Beacon Node Failure Introduction to a wide range of applications. For some, the location tracking system must continue to operate despite
Robust Photo Retrieval Using World Semantics Hugo Liu*, Henry Lieberman*
Lieberman, Henry
), and keyword co-occurrence statistics (Peat and Willet, 1991; Lin, 1998), as well as resources generated robust involves query expansion using a thesaurus or other lexical resource. The chief limitation a world semantic resource. The resource is automatically constructed from a large-scale freely available
`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
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
Geometric Methods for Robust Stabilization of Autonomous Underwater Vehicles \\Lambda
Leonard, Naomi
robustness and avoids having to linearize the dynamics (see [8]). The sliding mode con trol law consists's that avoids both lin earization and cancellation of nonlinearities. The pro posed control law is designed search under Grant N000149610052. that is produced by gravitational and buoyant forces in a vehicle
Robust concatenated codes for the slow Rayleigh fading channel
Hsu, Teh-Hsuan
2009-05-15T23:59:59.000Z
In this thesis, we design a robust concatenated code for the Multiple-Input Multiple-Output (MIMO) system in the presence of slow Rayleigh fading with no channel side information at the transmitter (no CSIT) and perfect channel side information...
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
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
Robust Control-theoretic Thermal Balancing for Server Clusters
Lu, Chenyang
Robust Control-theoretic Thermal Balancing for Server Clusters Yong Fu, Chenyang Lu, Hongan Wang for clusters because of the increasing power consumption of modern processors, compact server architectures and growing server density in data centers. Thermal balancing mitigates hot spots in a cluster through dynamic
A Programmable Client-Server Model: Robust Extensibility via DSLs
Consel, Charles
A Programmable Client-Server Model: Robust Extensibility via DSLs Charles Consel Laurent Réveillère Talence Cedex, France E-mail: {consel,reveillere}@labri.fr Abstract The client-server model has been. However, its server-centric na- ture makes it insensitive to fast changing client character- istics like
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
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
Robust Measurement Feedback Control of an Inclined Cable
Paris-Sud XI, Université de
a robust control strategy based on modern control tools for distributed parameter systems, hal-00784727 on the construction of a standard linear infinite dimensional state space system and an H feedback control). !"#$%& # ' ( )"#$%& "*++$!++&, - *. , , Fig. 1. Inclined Cable This paper is devoted to the design of control laws for a vi- brating system
Robust concatenated codes for the slow Rayleigh fading channel
Hsu, Teh-Hsuan
2009-05-15T23:59:59.000Z
the same capacity. Through this approach, we discovered a new design criterion for spacetime codes: a good space-time code should stabilize its Extrinsic Information Transfer (EXIT) charts. In other words, the robustness of a space-time code in the slow...
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
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
The robust impact parameter profile of inelastic collisions
I. M. Dremin
2014-07-17T23:59:59.000Z
It is shown that the impact parameter profile of inelastic hadron collisions is robust to admissible variations of the shape of the diffraction cone of elastic scattering. This conclusion is obtained using the unitarity condition and experimental data only with no phenomenological model inputs.
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
Energy and Deadline Constrained Robust Stochastic Static Resource Allocation
Maciejewski, Anthony A.
Energy and Deadline Constrained Robust Stochastic Static Resource Allocation Mark A. Oxley1 of energy and deadline constrained static resource allocation where a collection of independent tasks ("bag of tasks stochastically. This research focuses on the design of energy-constrained resource allocation
A ROBUST FINITE ELEMENT METHOD FOR DARCY--STOKES FLOW
Winther, Ragnar
. When # = 0 the first equation in (1.1) has the form of Darcy's law for flow in a homogeneous porousA ROBUST FINITE ELEMENT METHOD FOR DARCY--STOKES FLOW KENT ANDRE MARDAL, XUE--CHENG TAI, AND RAGNAR the perturbation parameter is large, while it degenerates to a mixed formulation of Poisson's equation
Robust Neural Sliding Mode Control of Robot Manipulators
Nguyen Tran Hiep [Le Quy Don University Hanoi-Vietnam (Viet Nam); Pham Thuong Cat [Institute of Information Technology, Academy of Science and Technology Vietnam (Viet Nam)
2009-03-05T23:59:59.000Z
This paper proposes a robust neural sliding mode control method for robot tracking problem to overcome the noises and large uncertainties in robot dynamics. The Lyapunov direct method has been used to prove the stability of the overall system. Simulation results are given to illustrate the applicability of the proposed method.
Robustness of optimal binary filters: analysis and design
Grigoryan, Artyom M
1999-01-01T23:59:59.000Z
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...
THE AUDIO DEGRADATION TOOLBOX AND ITS APPLICATION TO ROBUSTNESS EVALUATION
Mauch, Matthias
THE AUDIO DEGRADATION TOOLBOX AND ITS APPLICATION TO ROBUSTNESS EVALUATION Matthias Mauch Sebastian.ewert}@eecs.qmul.ac.uk ABSTRACT We introduce the Audio Degradation Toolbox (ADT) for the controlled degradation of audio signals degradation. For example, audio is degraded by low-quality microphones, noisy recording environments, MP3
Heuristics for Robust Resource Allocation of Satellite Weather Data Processing
Maciejewski, Anthony A. "Tony"
Heuristics for Robust Resource Allocation of Satellite Weather Data Processing on a Heterogeneous--This work considers the satellite data processing portion of a space-based weather monitoring system 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
Robust Target Localization from Binary Decisions in Wireless Sensor Networks
Michailidis, George
Robust Target Localization from Binary Decisions in Wireless Sensor Networks Natallia Katenka Wireless sensor networks (WSN) are becoming an important tool in a variety of tasks, including mon- itoring targets and localizing multiple targets are also considered. Keywords: wireless sensor network, target
SeRLoc: Robust Localization for Wireless Sensor Networks
Hochberg, Michael
SeRLoc: Robust Localization for Wireless Sensor Networks LOUKAS LAZOS and RADHA POOVENDRAN University of Washington Many distributed monitoring applications of Wireless Sensor Networks (WSNs) require of Wireless Sensor Networks to determine their location in an untrusted environment, known as the secure
California's Renewables Portfolio Standard (RPS) List of Facilities Certification Status
Geothermal Energy Center #1 Siskiyou County CA Siskiyou 12/1/2010 65 Geothermal 7/14/2004 Dennis Gilles Geothermal Energy Center #2 Siskiyou County CA Siskiyou 12/1/2011 65 Geothermal 7/14/2004 Dennis Gilles Calpine Siskiyou Geothermal Partners, L.P. 707-431-6058 Approved 60001C Pre-Certification Glass Mountain
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 DeliciousPlasmaP a gHigh Plains Wind Farm Jump to:Indianapolis,OpenJamestown, Colorado:JenningsJohn DeJohnson
Webinar Presentation - Energy Storage in State RPS - Dec. 19, 2011 |
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousPlasma |EfficiencyCR-B-99-02ContactUSG OREGON USG OREGON USG OREGONWBU-14-0013 - InWater PowerDepartment of
Webinar Presentation - Energy Storage in State RPS - Dec. 19, 2011 |
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousPlasma |Efficiency Â» Searchto IncreaseIntake Event-DepartmentProjectsInformation Resources Â»Department
RPS Collaborative Webinar: Using AVERT to Estimate the Emissions Benefits
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 DeliciousPlasma | Department ofEnergy 9ofPressure Swing2002 | Department1, 2014note: TheInc./Commonwealth of= J .of
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 DeliciousPlasma | Department ofEnergy 9 Lehman final| Department Classified Information SecurityDepartmentNYSERDA's
RPS Collaborative Webinar: Using AVERT to Estimate the Emissions...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Energy Economics can ease this task. It is a free, open-access tool that estimates the hourly emissions and generation benefits of energy efficiency and renewable energy...
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)....
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
An Exact Algorithm for Two-stage Robust Optimization with Mixed ...
2012-01-10T23:59:59.000Z
In this paper, we consider a linear two-stage robust optimization model with a mixed integer ...... Another interesting direction is to investigate the hybrid strategy, ... Robust unit commitment problem with demand response and wind energy.
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...
Timed model-based programming : executable specifications for robust mission-critical sequences
Ingham, Michel D. (Michel Donald), 1972-
2003-01-01T23:59:59.000Z
There is growing demand for high-reliability embedded systems that operate robustly and autonomously in the presence of tight real-time constraints. For robotic spacecraft, robust plan execution is essential during ...
A Polynomial Chaos Approach to the Robust Analysis of the Dynamic Behaviour of Friction Systems
Paris-Sud XI, Université de
. Key word: Dry friction systems, Nonlinear dynamic systems, stability, limit cycle, robustness, uncertainty propagation, polynomial chaos, Lyapunov function, SOS programming. 1. Introduction Dry friction1 A Polynomial Chaos Approach to the Robust Analysis of the Dynamic Behaviour of Friction Systems
Python Materials Genomics (pymatgen): A robust, open-source python library for materials analysis
Ceder, Gerbrand
Python Materials Genomics (pymatgen): A robust, open-source python library for materials analysis-throughput a b s t r a c t We present the Python Materials Genomics (pymatgen) library, a robust, open
RPS Status Report Q1 & Q2 2012 Page 2 I. ABOUT THE RPS AND THIS REPORT
-scale renewable energy development in California, there are other programs that stimulate development of customer- side renewable generation. The California Solar Initiative (CSI) and Self-Generation Incentive Program (SGIP) provide incentives for customers to install renewable distributed generation technologies
Robust Monotonic Optimization Framework for Multicell MISO Systems
Björnson, Emil; Bengtsson, Mats; Ottersten, Björn
2011-01-01T23:59:59.000Z
The performance of multiuser systems is both difficult to measure fairly and to solve optimally. Most resource allocation problems are non-convex, even under simplifying assumptions such as perfect channel knowledge, homogeneous channel properties among users, and simple power constraints. Herein, we establish a general optimization framework that systematically solves these problems to global optimality. The proposed branch-reduce-and-bound (BRB) algorithm handles general multicell downlink systems with single-antenna users, multiantenna transmitters, arbitrary linear power constraints, and robustness to channel uncertainty. The problem of robust optimization with fairness-profile is solved at each iteration, which is a quasi-convex problem and a novel generalization of regular max-min fairness. The BRB algorithm is in general computationally costly, but it shows far better convergence than the previously known outer polyblock approximation algorithm. Our framework is suitable for computing benchmarks in gen...
Robust Decision-making Applied to Model Selection
Hemez, Francois M. [Los Alamos National Laboratory
2012-08-06T23:59:59.000Z
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.
Robust Collimation Control of Laser-Generated Ion Beam
Kawata, S; Kamiyama, D; Nagashima, T; Barada, D; Gu, Y J; Li, X; Yu, Q; Kong, Q; Wang, P X
2015-01-01T23:59:59.000Z
The robustness of a structured collimation device is discussed for an intense-laser-produced ion beam. In this paper the ion beam collimation is realized by the solid structured collimation device, which produces the transverse electric field; the electric field contributes to reduce the ion beam transverse velocity and collimate the ion beam. Our 2.5 dimensional particle-in cell simulations demonstrate that the collimation device is rather robust against the changes in the laser parameters and the collimation target sizes. The intense short-pulse lasers are now available, and are used to generate an ion beam. The issues in the laser ion acceleration include an ion beam collimation, ion energy spectrum control, ion production efficiency, ion energy control, ion beam bunching, etc. The laser-produced ion beam tends to expand in the transverse and longitudinal directions during the ion beam propagation. The ion beam collimation is focused in this paper.
Robust Beamforming for Two-Way Relay Systems
Aziz, Ahsan
2013-08-14T23:59:59.000Z
-way relay (TWR) systems. We will then discuss the concept of beamforming in wireless communications system and its application to relay networks. Next, we will introduce the concept of robust beamforming followed by a discussion on prior works... achieving a better decoding of the intended information. The applications of channel coding techniques for TWR systems by the authors of [6], where they introduced the use of lattice codes to directly decode a function of the two transmitted signals...
Snap: Robust Tool for Internet-wide Operating System Fingerprinting
Nandwani, Ankur Bharatbhushan
2012-02-14T23:59:59.000Z
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...
Robust Polymer Composite Membranes for Hydrogen Separation | Department of
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:DepartmentExecutive Secretariat,ServicesRenewableQuestionsRoadmap to AchieveRobEnergy Robust
Smooth optimal quantum control for robust solid state spin magnetometry
Tobias Nöbauer; Andreas Angerer; Björn Bartels; Michael Trupke; Stefan Rotter; Jörg Schmiedmayer; Florian Mintert; Johannes Majer
2014-12-16T23:59:59.000Z
Nitrogen-vacancy centers in diamond show great potential as magnetic, electric and thermal sensors which are naturally packaged in a bio-compatible material. In particular, NV-based magnetometers combine small sensor volumes with high sensitivities under ambient conditions. The practical operation of such sensors, however, requires advanced quantum control techniques that are robust with respect to experimental and material imperfections, control errors, and noise. Here, we present a novel approach that uses Floquet theory to efficiently generate smooth and simple quantum control pulses with tailored robustness properties. We verify their performance by applying them to a single NV center and by characterising the resulting quantum gate using quantum process tomography. We show how the sensitivity of NV-ensemble magnetometry schemes can be improved by up to two orders of magnitude by compensating for inhomogeneities in both the control field and the spin transition frequency. Our approach is ideally suited for a wide variety of quantum technologies requiring high-fidelity, robust control under tight bandwidth requirements, such as spin-ensemble based memories involving high-Q cavities.
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
Recap Weak Normal EC Strong Normal EC Robustness Combined with WCT Equivalence Class Testing
Mousavi, Mohammad
Recap Weak Normal EC Strong Normal EC Robustness Combined with WCT Equivalence Class Testing: Equivalence Class Testing #12;Recap Weak Normal EC Strong Normal EC Robustness Combined with WCT Outline Recap Weak Normal EC Strong Normal EC Robustness Combined with WCT Mousavi: Equivalence Class Testing #12
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
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)
2013-12-16T23:59:59.000Z
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.
emphases given on the optimal control portion. Under optimal control, topics will include the linear-domain (or classical) control (at the level of ME 404) and linear system theory (at the level of ME 501ENG ME/EC/SE 701: Optimal and robust control Fall 2011 ENG ME/EC/SE 701: Optimal and Robust Control
Robust, High-Throughput Analysis of Protein Structures
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5(Million Cubic Feet) Oregon (Including Vehicle Fuel) (Million CubicRefiners SwitchBenefits Â» RetirementRienk vanNuclear3-000AdvancesPortalRobust,
Robust, High-Throughput Analysis of Protein Structures
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5(Million Cubic Feet) Oregon (Including Vehicle Fuel) (Million CubicRefiners SwitchBenefits Â» RetirementRienkRobust, High-Throughput Analysis of Protein
Robust, Multifunctional Joint for Large Scale Power Production Stacks -
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5(Million Cubic Feet) Oregon (Including Vehicle Fuel) (Million CubicRefiners SwitchBenefits Â» RetirementRienkRobust, High-Throughput Analysis of
Conductive and robust nitride buffer layers on biaxially textured substrates
Sankar, Sambasivan [Chicago, IL; Goyal, Amit [Knoxville, TN; Barnett, Scott A [Evanston, IL; Kim, Ilwon [Skokie, IL; Kroeger, Donald M [Knoxville, TN
2009-03-31T23:59:59.000Z
The present invention relates to epitaxial, electrically conducting and mechanically robust, cubic nitride buffer layers deposited epitaxially on biaxially textured substrates such as metals and alloys. The invention comprises of a biaxially textured substrate with epitaxial layers of nitrides. The invention also discloses a method to form such epitaxial layers using a high rate deposition method as well as without the use of forming gases. The invention further comprises epitaxial layers of oxides on the biaxially textured nitride layer. In some embodiments the article further comprises electromagnetic devices which may have superconducting properties.
Robust manipulation of superconducting qubits in the presence of fluctuations
Daoyi Dong; Chunlin Chen; Bo Qi; Ian R. Petersen; Franco Nori
2014-08-07T23:59:59.000Z
Superconducting quantum systems are promising candidates for quantum information processing due to their scalability and design flexibility. However, the existence of defects, fluctuations, and inaccuracies is unavoidable for practical superconducting quantum circuits. In this paper, a sampling-based learning control (SLC) method is used to guide the design of control fields for manipulating superconducting quantum systems. Numerical results for one-qubit systems and coupled two-qubit systems show that the "smart" fields learned using the SLC method can achieve robust manipulation of superconducting qubits even in the presence of large fluctuations and inaccuracies.
Robust Dynamical Decoupling Sequences for Individual Nuclear Spin Addressing
J. Casanova; J. F. Haase; Z. -Y. Wang; M. B. Plenio
2015-06-11T23:59:59.000Z
We propose the use of non-equally spaced decoupling pulses for high-resolution selective addressing of nuclear spins by a quantum sensor. The analytical model of the basic operating principle is supplemented by detailed numerical studies that demonstrate the high degree of selectivity and the robustness against static and dynamic control field errors of this scheme. We exemplify our protocol with an NV center-based sensor to demonstrate that it enables the identification of individual nuclear spins that form part of a large spin ensemble.
A robust quantum receiver for phase shift keyed signals
Christian R. Müller; Christoph Marquardt
2014-12-19T23:59:59.000Z
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.
Robust, High-Throughput Analysis of Protein Structures
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article) |govInstrumentsmfrirtA Journey Inside the Presentations PatentsReportingheatingRetirementRickRobin MilesRobotics KeyRobust,
Robust Morphological Measures for Large-Scale Structure
T. Buchert
1994-12-17T23:59:59.000Z
A complete family of statistical descriptors for the morphology of large--scale structure based on Minkowski--Functionals is presented. These robust and significant measures can be used to characterize the local and global morphology of spatial patterns formed by a coverage of point sets which represent galaxy samples. Basic properties of these measures are highlighted and their relation to the `genus statistics' is discussed. Test models like a Poissonian point process and samples generated from a Voronoi--model are put into perspective.
Achieving Robustness to Uncertainty for Financial Decision-making
Barnum, George M. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Van Buren, Kendra L. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Hemez, Francois M. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Song, Peter [Univ. of Pennsylvania, Philadelphia, PA (United States)
2014-01-10T23:59:59.000Z
This report investigates the concept of robustness analysis to support financial decision-making. Financial models, that forecast future stock returns or market conditions, depend on assumptions that might be unwarranted and variables that might exhibit large fluctuations from their last-known values. The analysis of robustness explores these sources of uncertainty, and recommends model settings such that the forecasts used for decision-making are as insensitive as possible to the uncertainty. A proof-of-concept is presented with the Capital Asset Pricing Model. The robustness of model predictions is assessed using info-gap decision theory. Info-gaps are models of uncertainty that express the “distance,” or gap of information, between what is known and what needs to be known in order to support the decision. The analysis yields a description of worst-case stock returns as a function of increasing gaps in our knowledge. The analyst can then decide on the best course of action by trading-off worst-case performance with “risk”, which is how much uncertainty they think needs to be accommodated in the future. The report also discusses the Graphical User Interface, developed using the MATLAB® programming environment, such that the user can control the analysis through an easy-to-navigate interface. Three directions of future work are identified to enhance the present software. First, the code should be re-written using the Python scientific programming software. This change will achieve greater cross-platform compatibility, better portability, allow for a more professional appearance, and render it independent from a commercial license, which MATLAB® requires. Second, a capability should be developed to allow users to quickly implement and analyze their own models. This will facilitate application of the software to the evaluation of proprietary financial models. The third enhancement proposed is to add the ability to evaluate multiple models simultaneously. When two models reflect past data with similar accuracy, the more robust of the two is preferable for decision-making because its predictions are, by definition, less sensitive to the uncertainty.
Robust design and model validation of nonlinear compliant micromechanisms.
Howell, Larry L. (Brigham Young University, Provo, UT); Baker, Michael Sean; Wittwer, Jonathan W. (Brigham Young University, Provo, UT)
2005-02-01T23:59:59.000Z
Although the use of compliance or elastic flexibility in microelectromechanical systems (MEMS) helps eliminate friction, wear, and backlash, compliant MEMS are known to be sensitive to variations in material properties and feature geometry, resulting in large uncertainties in performance. This paper proposes an approach for design stage uncertainty analysis, model validation, and robust optimization of nonlinear MEMS to account for critical process uncertainties including residual stress, layer thicknesses, edge bias, and material stiffness. A fully compliant bistable micromechanism (FCBM) is used as an example, demonstrating that the approach can be used to handle complex devices involving nonlinear finite element models. The general shape of the force-displacement curve is validated by comparing the uncertainty predictions to measurements obtained from in situ force gauges. A robust design is presented, where simulations show that the estimated force variation at the point of interest may be reduced from {+-}47 {micro}N to {+-}3 {micro}N. The reduced sensitivity to process variations is experimentally validated by measuring the second stable position at multiple locations on a wafer.
On the robust optimization to the uncertain vaccination strategy problem
Chaerani, D., E-mail: d.chaerani@unpad.ac.id; Anggriani, N., E-mail: d.chaerani@unpad.ac.id; Firdaniza, E-mail: d.chaerani@unpad.ac.id [Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Padjadjaran Indonesia, Jalan Raya Bandung Sumedang KM 21 Jatinangor Sumedang 45363 (Indonesia)
2014-02-21T23:59:59.000Z
In order to prevent an epidemic of infectious diseases, the vaccination coverage needs to be minimized and also the basic reproduction number needs to be maintained below 1. This means that as we get the vaccination coverage as minimum as possible, thus we need to prevent the epidemic to a small number of people who already get infected. In this paper, we discuss the case of vaccination strategy in term of minimizing vaccination coverage, when the basic reproduction number is assumed as an uncertain parameter that lies between 0 and 1. We refer to the linear optimization model for vaccination strategy that propose by Becker and Starrzak (see [2]). Assuming that there is parameter uncertainty involved, we can see Tanner et al (see [9]) who propose the optimal solution of the problem using stochastic programming. In this paper we discuss an alternative way of optimizing the uncertain vaccination strategy using Robust Optimization (see [3]). In this approach we assume that the parameter uncertainty lies within an ellipsoidal uncertainty set such that we can claim that the obtained result will be achieved in a polynomial time algorithm (as it is guaranteed by the RO methodology). The robust counterpart model is presented.
Robust Limits on Lorentz Violation from Gamma-Ray Bursts
John Ellis; Nick E. Mavromatos; Dimitri V. Nanopoulos; Alexander S. Sakharov; Edward K. G. Sarkisyan
2005-10-06T23:59:59.000Z
We constrain the possibility of a non-trivial refractive index in free space corresponding to an energy-dependent velocity of light: c(E) \\simeq c_0 (1 - E/M), where M is a mass scale that might represent effect of quantum-gravitational space-time foam, using the arrival times of sharp features observed in the intensities of radiation with different energies from a large sample of gamma-ray bursters (GRBs) with known redshifts. We use wavelet techniques to identify genuine features, which we confirm in simulations with artificial added noise. Using the weighted averages of the time-lags calculated using correlated features in all the GRB light curves, we find a systematic tendency for more energetic photons to arrive earlier. However, there is a very strong correlation between the parameters characterizing an intrinsic time-lag at the source and a distance-dependent propagation effect. Moreover, the significance of the earlier arrival times is less evident for a subsample of more robust spectral structures. Allowing for intrinsic stochastic time-lags in these features, we establish a statistically robust lower limit: M > 0.9x10^{16} GeV on the scale of violation of Lorentz invariance.
Koopman, Philip
. This paper describes the Ballista methodology for scalable, portable, automated robustness testing
August 2001 O.E. Karasan , M.C. Pinar , H. Yaman The Robust ...
Two-Stage Robust Network Flow and Design for Demand Uncertainty April 2005 ... Approach for Large Scale Full Factorial Scenario Design of Data Uncertainty
a min-max regret robust optimization approach for large scale full ...
admin
2007-07-20T23:59:59.000Z
the full-factorial scenario design of data uncertainty. The proposed algorithm is shown to be efficient for solving large-scale min-max regret robust optimization ...
LETTER Communicated by Valerie Ventura Information-Geometric Measures as Robust Estimators
Fellous, Jean-Marc
LETTER Communicated by Valerie Ventura Information-Geometric Measures as Robust Estimators¨un, & Iyengar, 2005; Kass, Ventura, & Brown, 2005; Tatsuno, Lipa, & McNaughton, 2006; Shimazaki & Shinomoto
Reduce, reuse, recycle, for robust cluster state generation
Clare Horsman; Katherine L. Brown; William J. Munro; Vivien M. Kendon
2011-05-03T23:59:59.000Z
Efficient generation of cluster states is crucial for engineering large-scale measurement-based quantum computers. Hybrid matter-optical systems offer a robust, scalable path to this goal. Such systems have an ancilla which acts as a bus connecting the qubits. We show that by generating smaller cluster "Lego bricks", reusing one ancilla per brick, the cluster can be produced with maximal efficiency, requiring fewer than half the operations compared with no bus reuse. By reducing the time required to prepare sections of the cluster, bus reuse more than doubles the size of the computational workspace that can be used before decoherence effects dominate. A row of buses in parallel provides fully scalable cluster state generation requiring only 20 CPhase gates per bus use.
Robust Reconstruction of Complex Networks from Sparse Data
Han, Xiao; Wang, Wen-Xu; Di, Zengru
2015-01-01T23:59:59.000Z
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 mixtures in the presence of measurement errors
Jianyong Sun; Ata Kaban; Somak Raychaudhury
2007-09-06T23:59:59.000Z
We develop a mixture-based approach to robust density modeling and outlier detection for experimental multivariate data that includes measurement error information. Our model is designed to infer atypical measurements that are not due to errors, aiming to retrieve potentially interesting peculiar objects. Since exact inference is not possible in this model, we develop a tree-structured variational EM solution. This compares favorably against a fully factorial approximation scheme, approaching the accuracy of a Markov-Chain-EM, while maintaining computational simplicity. We demonstrate the benefits of including measurement errors in the model, in terms of improved outlier detection rates in varying measurement uncertainty conditions. We then use this approach in detecting peculiar quasars from an astrophysical survey, given photometric measurements with errors.
Hierarchical structures for a robustness-oriented capacity design
Enrico Masoero; Falk K. Wittel; Hans J. Herrmann; B. M. Chiaia
2015-09-07T23:59:59.000Z
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.
Robust quantum control using smooth pulses and topological winding
Edwin Barnes; Xin Wang; S. Das Sarma
2015-08-04T23:59:59.000Z
The greatest challenge in achieving the high level of control needed for future technologies based on coherent quantum systems is the decoherence induced by the environment. Here, we present an analytical approach that yields explicit constraints on the driving field which are necessary and sufficient to ensure that the leading-order noise-induced errors in a qubit's evolution cancel exactly. We derive constraints for two of the most common types of noise that arise in qubits: slow fluctuations of the qubit energy splitting and fluctuations in the driving field itself. By theoretically recasting a phase in the qubit's wavefunction as a topological winding number, we can satisfy the noise-cancelation conditions by adjusting driving field parameters without altering the target state or quantum evolution. We demonstrate our method by constructing robust quantum gates for two types of spin qubit: phosphorous donors in silicon and nitrogen-vacancy centers in diamond.
Robustness of the detection probability for the sign detector
Huse, Elizabeth Ann
2003-01-01T23:59:59.000Z
-to-noise power ratio, yielding S Je Viewing P as a height function above this parameter manifold, a new manifold called the "performance manifold" is generated. As the performance manifold is traversed, the robustness of P can be explored by observing..., T=2, and k=0. 5, 1, 2 (I ON- IONS- I ISIS, SMO, ~ 102 0100- 0 02 0 ~ 00 00 I 12 IA '10 Il 2 M~I I 1, 00101 Selgel TROIS 0 OA 0 ~ 00 IN I 1. 1 IA IA IA 2 MaNge for lN, SOIM, NS IN 0 02 0 ~ OA 00 I 12 IA 10 1. 0 2 Figure 4: Marslope for+0...
Robust linear regression with broad distributions of errors
Postnikov, Eugene B
2015-01-01T23:59:59.000Z
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...
Robust light transport in non-Hermitian photonic lattices
Stefano Longhi; Davide Gatti; Giuseppe Della Valle
2015-07-24T23:59:59.000Z
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.
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
Decentralized robust control of a class of nonlinear systems and application to a boiler system
Marquez, Horacio J.
Decentralized robust control of a class of nonlinear systems and application to a boiler system Keywords: Asymptotic disturbance rejection Boiler systems Decentralized robust control Descriptor systems problem, a decentralized controller for the system can be calculated. In order to control a utility boiler
Pota, Himanshu Roy
Robust Power System Stabiliser Design Using Minimax Control Approach: Validation using Real Ugrinovskii1 Abstract-- This paper addresses the problem of designing decentralized power system stabilisers for interconnected power systems using robust output feedback minimax control tech- niques. We have considered
FPI4 5:00 ROBUST CONTROL OF PARTICLE ACCELERATORS* W. Joel D. Johnson
FPI4 5:00 ROBUST CONTROL OF PARTICLE ACCELERATORS* W. Joel D. Johnson Los Alamos National of an electron particle accelerator. This new scheme has greater stability and performance robustness than was previously achieved. 1. Introduction One application of an electron particle accelerator is to drive a Free
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
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
Switched system modeling and robust steering control in a hot strip mill
Paris-Sud XI, Université de
Switched system modeling and robust steering control in a hot strip mill I. Malloci J. Daafouz C. Abstract: In this article, a robust steering control for the last phase of the rolling process in a hot. The switchings make the system unstable and the task of the tail end steering control consists in guaranteeing
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
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
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 system. Keywords: Wind power, robustness, IMC, stability, turbine, pitch control. 1. INTRODUCTION Wind energy has proved to be an important source of clean and renewable energy because no fossil fuels
Enhancing Efficiency and Robustness of a Photovoltaic Power System under Partial Shading
Pedram, Massoud
Enhancing Efficiency and Robustness of a Photovoltaic Power System under Partial Shading Yanzhi}@usc.edu, 2 E-mail: {yhkim, naehyuck}@elpl.snu.ac.kr Abstract Photovoltaic (PV) power systems have been widely in standalone PV systems for continuous power supply. In this paper the efficiency and robustness enhancement
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
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
An Inexpensive and Robust GPS/INS Attitude System for Automobiles
Stanford University
An Inexpensive and Robust GPS/INS Attitude System for Automobiles Santiago Alban, Stanford-cost and robust GPS/INS attitude system for automobiles, and deep integration of INS systems with GPS tracking loops. ABSTRACT Many of the sophisticated control systems of modern automobiles require measurements
Sontag, Eduardo
of input constraint and an internal model-based regulator is designed. Keywords: Nonlinear Output Regulation, Magnetic Lev- itation System, Complementary Current Condition, Robust Control, Saturated FeedbackRobust Regulation for a Magnetic Levitation System* Claudio Bonivento Luca Gentili Lorenzo Marconi
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
A Robust Boundary Detection Algorithm Based on Connectivity Only for 3D Wireless Sensor Networks
Jin, Miao
A Robust Boundary Detection Algorithm Based on Connectivity Only for 3D Wireless Sensor Networks algorithm, dubbed Coconut, for 3D wireless sensor networks. It first constructs a tetrahedral structure known in practical wireless sensor networks. Third, it is robust to sensor distribution, effectively
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
Kinetic effects on robustness of electron magnetohydrodynamic structures
Hata, M. [Department of Physics, Nagoya University, Nagoya 464-8603 (Japan); Sakagami, H. [Fundamental Physics Simulation Research Division, National Institute for Fusion Science, Toki 509-5292 (Japan); Das, A. [Institute for Plasma Research, Bhat, Gandhinagar 382428 (India)
2013-04-15T23:59:59.000Z
Following recent remarkable progress in the development of high-power short-pulse lasers, exploration is ongoing into hitherto unknown phenomena at fast time scales of electrons, the understanding of which is becoming crucial. For a simplified description of such phenomena, the Electron Magnetohydrodynamics (EMHDs) fluid description is often adopted. For the possibility of electron transport in high-density plasma, exact solutions of the EMHD model in the form of electron vortex currents, together with their associated magnetic fields, have been considered. However, the fluid EMHD model does not incorporate kinetic effects. Here, the finite Larmor radius effects owing to a finite electron temperature on the robustness of the exact EMHD structures are investigated using two-dimensional particle-in-cell simulations. It is found that larger EMHD vortex structures can sustain themselves for long periods, even in high temperature plasma; however, sustaining structures at higher temperatures tends to be difficult. With increasing temperature, electrons with finite Larmor radii become disengaged from the localized region. It is also shown that structures localized in smaller regions are more difficult to sustain. A quantitative criterion in terms of the structure size and Larmor radius has been established by simulations over a wide range of parameters. Finally, we conclude that a structure, larger than about eight times the typical Larmor radius at r=R, could form and exist even under the effects of finite electron temperature.
Robust Downlink Beamforming in Multiuser MISO Cognitive Radio Networks
Gharavol, Ebrahim A; Mouthaan, Koenraad
2009-01-01T23:59:59.000Z
This paper studies the problem of robust downlink beamforming design in a multiuser Multi-Input Single-Output (MISO) Cognitive Radio Network (CR-Net) in which multiple Primary Users (PUs) coexist with multiple Secondary Users (SUs). Unlike conventional designs in CR-Nets, in this paper it is assumed that the Channel State Information (CSI) for all relevant channels is imperfectly known, and the imperfectness of the CSI is modeled using an Euclidean ball-shaped uncertainty set. Our design objective is to minimize the transmit power of the SU-Transmitter (SU-Tx) while simultaneously targeting a lower bound on the received Signal-to-Interference-plus-Noise-Ratio (SINR) for the SU's, and imposing an upper limit on the Interference-Power (IP) at the PUs. The design parameters at the SU-Tx are the beamforming weights, i.e. the precoder matrix. The proposed methodology is based on a worst case design scenario through which the performance metrics of the design are immune to variations in the channels. We propose thr...
A Robust Iterative Unfolding Method for Signal Processing
András László
2006-01-09T23:59:59.000Z
There is a well-known series expansion (Neumann series) in functional analysis for perturbative inversion of specific operators on Banach spaces. However, operators that appear in signal processing (e.g. folding and convolution of probability density functions), in general, do not satisfy the usual convergence condition of that series expansion. This article provides some theorems on the convergence criteria of a similar series expansion for this more general case, which is not covered yet by the literature. The main result is that a series expansion provides a robust unbiased unfolding and deconvolution method. For the case of the deconvolution, such a series expansion can always be applied, and the method always recovers the maximum possible information about the initial probability density function, thus the method is optimal in this sense. A very significant advantage of the presented method is that one does not have to introduce ad hoc frequency regulations etc., as in the case of usual naive deconvolution methods. For the case of general unfolding problems, we present a computer-testable sufficient condition for the convergence of the series expansion in question. Some test examples and physics applications are also given. The most important physics example shall be (which originally motivated our survey on this topic) the case of pi^0 --> gamma+gamma particle decay: we show that one can recover the initial pi^0 momentum density function form the measured single gamma momentum density function by our series expansion.
Robust activation method for negative electron affinity photocathodes
Mulhollan, Gregory A. (Dripping Springs, TX); Bierman, John C. (Austin, TX)
2011-09-13T23:59:59.000Z
A method by which photocathodes(201), single crystal, amorphous, or otherwise ordered, can be surface modified to a robust state of lowered and in best cases negative, electron affinity has been discovered. Conventional methods employ the use of Cs(203) and an oxidizing agent(207), typically carried by diatomic oxygen or by more complex molecules, for example nitrogen trifluoride, to achieve a lowered electron affinity(404). In the improved activation method, a second alkali, other than Cs(205), is introduced onto the surface during the activation process, either by co-deposition, yo-yo, or sporadic or intermittent application. Best effect for GaAs photocathodes has been found through the use of Li(402) as the second alkali, though nearly the same effect can be found by employing Na(406). Suitable photocathodes are those which are grown, cut from boules, implanted, rolled, deposited or otherwise fabricated in a fashion and shape desired for test or manufacture independently supported or atop a support structure or within a framework or otherwise affixed or suspended in the place and position required for use.
Enaction and Enactive Interfaces: A Handbook of Terms 3 5-$#/7$-+#%89:!
Paris-Sud XI, Université de
Zc of the remote environment seen by the teleoperation medium; and on the other side the impedance Z, the functional properties of the remaining non-transparent part of the human environment medium cannot, "they should allow pro- ducing the same man/environment interac- tion as in the direct natural
Gómez de la Mora, Luz de Lourdes
2005-01-01T23:59:59.000Z
The fundamental goal of Robust Design is to improve the quality of a product by minimizing the effects of variation. A key contributor to robustness over the long term is R&D. Therefore, a framework is desired to help ...
Yao, Bin
MODERN mechanical systems, such as machine tools, microelectronics manufacturing equipment, robot ma Control of Machine Tools: An Adaptive Robust Control Approach and Comparative Experiments Bin Yao-performance robust mo- tion control of machine tools. The newly proposed adaptive robust control (ARC) is applied
Applications of stochastic inventory control in market-making and robust supply chains
Song, Miao, Ph. D. Massachusetts Institute of Technology
2010-01-01T23:59:59.000Z
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 ...
Achieving fault tolerance via robust partitioning and N-Modular Redundancy
O'Connell, Brendan Anthony
2007-01-01T23:59:59.000Z
This thesis describes the design and performance results for the P-NMR fault tolerant avionics system architecture being developed at Draper Laboratory. The two key principles of the architecture are robust software ...
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
A quadrature-based technique for robust design with computer simulations
Lin, Yiben
2007-01-01T23:59:59.000Z
This thesis presents a method for estimating transmitted variance to enable robust parameter design in computer simulations. This method is based on the Hermite-Gaussian quadrature for a single input. It is extended to ...
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 ...
Robust Secure Transmission in MISO Channels Based on Worst-Case Optimization
Huang, Jing
2011-01-01T23:59:59.000Z
This paper studies robust transmission schemes for multiple-input single-output (MISO) wiretap channels. Both the cases of direct transmission and cooperative jamming with a helper are investigated with imperfect channel state information (CSI) for the eavesdropper links. Robust transmit covariance matrices are obtained based on worst-case secrecy rate maximization, under both individual and global power constraints. For the case of an individual power constraint, we show that the non-convex maximin optimization problem can be transformed into a quasiconvex problem that can be efficiently solved with existing methods. For a global power constraint, the joint optimization of the transmit covariance matrices and power allocation between the source and the helper is studied via geometric programming. We also study the robust wiretap transmission problem for the case with a quality-of-service constraint at the legitimate receiver. Numerical results show the advantage of the proposed robust design. In particular, ...
Control of a 3DOF Birotor Helicopter Using Robust Control Methods
Ruiz Brito, Luis A.
2010-07-14T23:59:59.000Z
The main topic of this thesis is to exhibit how robust control techniques can be applied to real time systems. Presently, the control techniques used in the industry are very simple even when applied to complex systems; ...
Molecular cancer classification using an meta-sample-based regularized robust coding method
Wang, Shu-Lin; Sun, Liuchao; Fang, Jianwen
2014-12-03T23:59:59.000Z
, 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...
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
Advanced Motion Control: From Classical PID to Nonlinear Adaptive Robust Control
Yao, Bin
performance re- quirements of modern mechanical systems have forced control engineers to look beyond controllers in implementation. I. INTRODUCTION Modern mechanical systems such as microelectronics manAdvanced Motion Control: From Classical PID to Nonlinear Adaptive Robust Control (Plenary Paper
Linninger, Andreas A.
Temperature Collocation Algorithm for Fast and Robust Distillation Design Libin Zhang and Andreas A mixtures that exhibit suitable volatility differences.1 Hence, continuous distillation columns, along commodity manufacturing. The common practice for distillation design often involves numerous trial
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
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
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
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
A robust motion planning approach for autonomous driving in urban areas
Fiore, Gaston A
2008-01-01T23:59:59.000Z
This thesis presents an improved sampling-based motion planning algorithm, Robust RRT, that is designed specifically for large robotic vehicles and uncertain, dynamic environments. Five main extensions have been made to ...
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 ...
Ultra-efficient, Robust and Well-defined Nano-Array based Monolithic...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
This presentation demonstrates how nano-array catalysts have excellent robustness, use ultra-low amounts of PGM, and can be tuned for optimum performance. deer12guo.pdf More...
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
Risk Aware Robust Decision Making in Power Systems with Renewable Resources
Thatte, Anupam Ajit
2014-10-29T23:59:59.000Z
Dispatch ISO Independent System Operator LMP Locational Marginal Price LORP Lack of Ramp Probability LP Linear Programming LSE Load Serving Entity MAE Mean Absolute Error MISO Midcontinent Independent System Operator MPC Model Predictive Control NERC North... . . . . . . . . . . . . . . . 80 4.3.2 Numerical . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83 4.4 Zonal Robust Economic Dispatch with Tie-Line Limits . . . . . . . . 90 4.4.1 Nodal Robust Dispatch . . . . . . . . . . . . . . . . . . . . . . 94 4.4.2 LMP Formulation...
Robust stabilizer synthesis for interval plants using H-Infinity methods
Bhattacharya, Saikat
1993-01-01T23:59:59.000Z
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...
State Renewable Energy Requirements and Goals: Update Through 2007 (Update) (released in AEO2008)
Reports and Publications (EIA)
2008-01-01T23:59:59.000Z
In recent years, the Annual Energy Outlook (AEO) has tracked the growing number of states that have adopted requirements or goals for renewable energy. While there is no federal renewable generation mandate, the states have been adopting such standards for some time. AEO2005 provided a summary of all existing programs in effect at that time, and subsequent AEOs have examined new policies or changes to existing ones. Since the publication of AEO2007, four states have enacted new renewable portfolio standards (RPS) legislation, and five others have strengthened their existing RPS programs. In total, 25 states and the District of Columbia.
Mechanically robust, electrically conductive ultralow-density carbon nanotube-based aerogels
Worsley, Marcus A; Baumann, Theodore F; Satcher, Jr., Joe H
2014-04-01T23:59:59.000Z
A method of making a mechanically robust, electrically conductive ultralow-density carbon nanotube-based aerogel, including the steps of dispersing nanotubes in an aqueous media or other media to form a suspension, adding reactants and catalyst to the suspension to create a reaction mixture, curing the reaction mixture to form a wet gel, drying the wet gel to produce a dry gel, and pyrolyzing the dry gel to produce the mechanically robust, electrically conductive ultralow-density carbon nanotube-based aerogel. The aerogel is mechanically robust, electrically conductive, and ultralow-density, and is made of a porous carbon material having 5 to 95% by weight carbon nanotubes and 5 to 95% carbon binder.
Nagata, Motoki; Fujiwara, Naoya; Tanaka, Gouhei; Suzuki, Hideyuki; Aihara, Kazuyuki
2015-01-01T23:59:59.000Z
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.
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...
Lawless, William F.
2013-01-01T23:59:59.000Z
2012, 11/23), "Egypt's President solidifies power", wsj.com.power to dampen signals of robustness from opponents, beginning anew in Egypt;
A robust and well shielded thermal conductivity device for low temperature measurements
Toews, W. H.; Hill, R. W. [GWPI and Department of Physics and Astronomy, University of Waterloo, Waterloo, Ontario N2L 3G1 (Canada)] [GWPI and Department of Physics and Astronomy, University of Waterloo, Waterloo, Ontario N2L 3G1 (Canada)
2014-04-15T23:59:59.000Z
We present a compact mechanically robust thermal conductivity measurement apparatus for measurements at low temperatures (<1 K) and high magnetic fields on small high-purity single crystal samples. A high-conductivity copper box is used to enclose the sample and all the components. The box provides protection for the thermometers, heater, and most importantly the sample increasing the portability of the mount. In addition to physical protection, the copper box is also effective at shielding radio frequency electromagnetic interference and thermal radiation, which is essential for low temperature measurements. A printed circuit board in conjunction with a braided ribbon cable is used to organize the delicate wiring and provide mechanical robustness.
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
2007-01-01T23:59:59.000Z
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
Robust and highly informative microsatellite-based genetic identity kit for potato
Spooner, David
Robust and highly informative microsatellite-based genetic identity kit for potato Marc Ghislain Æ The fingerprinting of 742 potato landraces with 51 simple sequence repeat (SSR, or microsatel- lite) markers resulted in improving a previously constructed potato genetic identity kit. All SSR marker loci were assayed
Modeling Network Diversity for Evaluating the Robustness of Networks against Zero-Day Attacks
Wang, Lingyu
evaluate our algorithm and metrics through simulation. Keywords: Security Metrics, Diversity, Network towards formally modeling network diversity as a security metric, for the purpose of evaluating a networkModeling Network Diversity for Evaluating the Robustness of Networks against Zero-Day Attacks
A framework for robust mobile robot systems Nik A. Melchior and William D. Smart
Smart, William
generally be applied by a human expert, who might not be present in the field. In this paper, we describe. Robotic hardware is also more prone to failure because of their movement. Robots vibrate, rattle, and mayA framework for robust mobile robot systems Nik A. Melchior and William D. Smart Washington
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
Murray, Richard M.
science and control to allow automatic synthesis of embedded control software for such systems (KaramanAutomatic Synthesis of Robust Embedded Control Software Tichakorn Wongpiromsarn, Ufuk Topcu a methodology for automatic synthesis of embedded control software that accounts for exogenous disturbances
EVOLUTION SEMIGROUPS AND ROBUST STABILITY OF EVOLUTION OPERATORS ON BANACH SPACES
EVOLUTION SEMIGROUPS AND ROBUST STABILITY OF EVOLUTION OPERATORS ON BANACH SPACES Y. LATUSHKIN, S. MONTGOMERYSMITH, AND T. RANDOLPH Abstract. Using the theory of evolution semigroups, this paper investigatesmapping theo rem for evolution semigroups acting on vectorvalued functions on [0; 1) is proven first
On the Potential for Robust ASR with Combined Subband-Waveform and Cepstral Features
Sollich, Peter
the experiments conducted by Fletcher [15], which suggest that the human decodin classifiers using ensemble methods are addressed. Experiments demonstrate the benefits of the classification. Humans, on the other hand, exhibit a very robust behavior in recognizing speech even in extremely adverse
A Hybrid Iterative Solver for Robustly Capturing Coulomb Friction in Hair Dynamics
A Hybrid Iterative Solver for Robustly Capturing Coulomb Friction in Hair Dynamics Gilles Daviet-slip instabilities. See the accompanying video for the full animations. Abstract Dry friction between hair fibers a hybrid strategy that combines a new zero-finding formulation of (exact) Coulomb friction together
Decentralized Control of Power Systems via Robust Control of Uncertain Markov Jump Parameter Systems
Pota, Himanshu Roy
are regulated by small disturbance controllers whose gains are adjusted for variations in power system model due control of small disturbances in interconnected power systems. The linearized power system dynamic modelDecentralized Control of Power Systems via Robust Control of Uncertain Markov Jump Parameter
Robust Pareto Optimum Routing of Ships Deterministic and Ensemble Weather Forecasts
Berlin,Technische Universität
Robust Pareto Optimum Routing of Ships utilizing Deterministic and Ensemble Weather Forecasts the SEAROUTES project, who provided me with exquisite weather forecasts, and who inspired me to apply ensemble ship operation. The more reliable weather forecasts and performance simulation of ships in a seaway
Modeling Robustness Tradeoffs in Yeast Cell Polarization Induced by Spatial Gradients
Chou, Ching-Shan; Nie, Qing; Yi, Tau-Mu
2008-01-01T23:59:59.000Z
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
Marquez, Horacio J.
2007-01-01T23:59:59.000Z
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
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
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
M.Sc.-thesis research Robustness improvement of polyhedral mesh method for airbag
Vuik, Kees
M.Sc.-thesis research Robustness improvement of polyhedral mesh method for airbag deployment. Project background A madymo airbag deployment simulation is a coupled simulation of the airbag fabric dynamics (structural equations of motion) and the fluid inside the airbag (Euler equations of fluid motion
COMPSTAT'2004 Symposium c Physica-Verlag/Springer 2004 ROBUST REGRESSION QUANTILES WITH
to robustly estimate linear regression quantiles with censored data. We adjust the estimator recently points. 1 Introduction We consider the linear regression setting, in which we have to model the re, the deepest regression estimator [5], which has been defined for non censored data. In Section 4 we
CX: A Scalable, Robust Network for Parallel Peter Cappello and Dimitris Mourloukos
Cappello, Peter
CX: A Scalable, Robust Network for Parallel Computing Peter Cappello and Dimitris Mourloukos}@cs.ucsb.edu Abstract CX, a networkÂbased computational exchange, is presented. The sysÂ tem's design integrates failures. Tasks are distributed throughout the server network via a simple ``di#usion'' process. CX
CX: A Scalable, Robust Network for Parallel Peter Cappello and Dimitris Mourloukos
Cappello, Peter
CX: A Scalable, Robust Network for Parallel Computing Peter Cappello and Dimitris Mourloukos}@cs.ucsb.edu Abstract CX, a network-based computational exchange, is presented. The sys- tem's design integrates failures. Tasks are distributed throughout the server network via a simple "diffusion" process. CX
CX: A Scalable, Robust Network for Parallel Peter Cappello and Dimitrios Mourloukos
Cappello, Peter
CX: A Scalable, Robust Network for Parallel Computing Peter Cappello and Dimitrios Mourloukos}@cs.ucsb.edu telephone: 805.893.4383; fax: 805.893.853 Abstract CX, a networkÂbased computational exchange, is presented#usion'' process. CX is intended as a test bed for research on automated silent auctions, reputation services
CX: A Scalable, Robust Network for Parallel Peter Cappello and Dimitrios Mourloukos
Cappello, Peter
CX: A Scalable, Robust Network for Parallel Computing Peter Cappello and Dimitrios Mourloukos}@cs.ucsb.edu telephone: 805.893.4383; fax: 805.893.853 Abstract CX, a network-based computational exchange, is presented "diffusion" process. CX is intended as a test bed for research on automated silent auctions, reputation
Control Design for Interconnected Power Systems with OLTCs via Robust Decentralized Control
Pota, Himanshu Roy
Control Design for Interconnected Power Systems with OLTCs via Robust Decentralized Control the problem of designing a decentralized control of interconnected power systems, with OLTC and SVCs, under are adjusted for variations in power system model due to large changes in loads. The only feedback needed
Hybrid Recursive Energy-based Method for Robust Optical Flow on Large Motion Fields
Wichmann, Felix
Hybrid Recursive Energy-based Method for Robust Optical Flow on Large Motion Fields Jangheon Kim, and convergence to the global minima is not guaranteed. Our hybrid recursive energy-based method employs, Germany {j.kim, sikora}@nue.tu-berlin.de Abstract--We present a new reliable hybrid recursive method
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
Robust Smart Card based Password Authentication Scheme against Smart Card Security Breach
Robust Smart Card based Password Authentication Scheme against Smart Card Security Breach Ding Wang University, Beijing 100871, China 3 Automobile Management Institute of PLA, Bengbu City 233011, China wangdingg@mail.nankai.edu.cn Abstract. As the most prevailing two-factor authentication mechanism, smart
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
Criteria for Suitable Spawning Habitat for the Robust Redhorse Moxostoma robustum
Radcliffe, David
considered having the narrowest habitat requirements, is a primary management concern. Evaluating potential 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
TOWARDS ROBUST 3D Z-PINCH SIMULATIONS: DISCRETIZATION AND FAST SOLVERS FOR MAGNETIC
Tuminaro, Ray S.
interest is in developing a technology for Z-pinch modeling which falls within the constraintsTOWARDS ROBUST 3D Z-PINCH SIMULATIONS: DISCRETIZATION AND FAST SOLVERS FOR MAGNETIC DIFFUSION. The mathematical model of the Z-pinch is comprised of many interacting components. One of these components
TOWARDS ROBUST 3D Z-PINCH SIMULATIONS: DISCRETIZATION AND FAST SOLVERS FOR MAGNETIC
is in developing a technology for Z-pinch modeling which falls within the constraints of an Arbitrary LagrangianTOWARDS ROBUST 3D Z-PINCH SIMULATIONS: DISCRETIZATION AND FAST SOLVERS FOR MAGNETIC DIFFUSION. The mathematical model of the Z-pinch is comprised of many interacting components. One of these components
Robust 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
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
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
ccsd-00002179,version1-7Jul2004 A Value-At-Risk Approach for Robust
Paris-Sud XI, Université de
of the variance of simulated cost - up to 38% of reduction for a comparable average cost if the worst caseccsd-00002179,version1-7Jul2004 A Value-At-Risk Approach for Robust Management of Electricity Power and Space Decomposition, Ro- bust Counterpart, Electricity Power Management. Abstract In this paper, we
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
A New Approach To Robust Non-Intrusive Traffic Detection at Intersections!
Minnesota, University of
A New Approach To Robust Non-Intrusive Traffic Detection at Intersections! Chad Stelzig Algorithm Solutions! Background and Terminology !! § "Non-Intrusive Detection Systems"! § Above ground detection accuracy with a non- intrusive system! #12;Global Solutions! Single Sensor Detection Systems! § Any
Paris-Sud XI, Université de
Reduction, Centre Manifold, Robust Analysis, Uncertainty Propagation, Polynomial chaos, Non-intrusive to compute the deterministic components called stochastic modes in an intrusive and a non intrusive manner while random components are concentrated in the polynomial basis used. Non intrusive procedures
Robust Optimal Control using Polynomial Chaos and Adjoints for Systems with Uncertain Inputs
Jameson, Antony
Expansions (PCE) and adjoint theory to efficiently obtain sensitivities for robust optimal control. A non-intrusive be used to improve an initial guess in an iterative optimization procedure. The repeated use of the non-intrusive reduced for certain objective functions using an intrusive formulation for the adjoint equations.11 I
Evolving a robust signal transduction pathway from weak cross-talk
Siryaporn, Albert
We have evolved a robust two?component signal transduction pathway from a sensor kinase (SK) and non?partner response regulator (RR) that show weak cross?talk in vitro and no detectable cross?talk in vivo in wild?type ...
Evolving a robust signal transduction pathway from weak cross-talk
Siryaporn, Albert
We have evolved a robust two-component signal transduction pathway from a sensor kinase (SK) and non-partner response regulator (RR) that show weak cross-talk in vitro and no detectable cross-talk in vivo in wild-type ...
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
Stochastic Modeling and Optimization for Robust Power Management in a Partially Observable System
Qiu, Qinru
Stochastic Modeling and Optimization for Robust Power Management in a Partially Observable System power management technique gives significantly better performance and energy tradeoff. 1. Introduction or hard disk. The power management hardware/software monitors the state transition in the system
ON ROBUST DYNAMIC PROGRAMMING Anton G. Madievslci* and John B. Moore~*
Moore, John Barratt
control for known deterministic and sto- chastic systems. There is a need, however, to apply dynamic progr: dynamic programming; robust control; principle of optimality ? The author wishes to acknowledge and sto- chastic models. Now, what happens if we apply dynamic programming to a real-world system, prone
Williamson, John
models, taking into account their uncertainty. The approach is applied to a simulated wheel slip control task illustrating controller development based on a nonparametric model of the unknown friction of the nonlinear models' derivatives. I. INTRODUCTION Robust control is a fairly mature field, in particular
Multiple Model Robust Dynamic Programming Eric C. Whitman and Christopher G. Atkeson
-- Modeling error is a common problem for model- based control techniques. We present multiple model dynamic programming (MMDP) as a method to generate controllers that are robust to modeling error. Our method generates controllers that are approximately optimal for a collection of models, thereby forcing the controller
REDUCED SAMPLING AND INCOMPLETE SENSITIVITY FOR LOW-COMPLEXITY ROBUST PARAMETRIC OPTIMIZATION
Boyer, Edmond
? These questions are important as today industrial robust design mainly relies on reduced order modelling of the design. We also discuss incomplete sen- sitivity evaluations to take into account the computational-point design where the cost of the optimization is comparable to one state evaluations. The proposed algorithm
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
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 GPS-Based Timing for Phasor Measurement Units: A Position-Information-
Gao, Grace Xingxin
Robust GPS-Based Timing for Phasor Measurement Units: A Position-Information- Aided Approach Daniel malicious attacks on civilian grade GPS receivers utilized in phasor measurement units. Liang Heng and reliability of GPS receivers are critical to Phasor Measurement Units (PMUs). These devices provide
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
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
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
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 Performance of Soft Real-time Networked Control Systems with Data Dropouts 1
Lemmon, Michael
Robust Performance of Soft Real-time Networked Control Systems with Data Dropouts 1 Qiang Ling, . This class of systems is a model for soft real-time control systems in which the feedback path is implemented, the networked control system becomes a soft real-time system. In soft real-time networks, data packets may
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
A Robust Heart Sounds Segmentation Module Based on S-Transform
Boyer, Edmond
1 A Robust Heart Sounds Segmentation Module Based on S-Transform Ali Moukadem1, 3 , Alain Dieterlen presents a new module for heart sounds segmentation based on S-Transform. The heart sounds segmentation process segments the PhonoCardioGram (PCG) signal into four parts: S1 (first heart sound), systole, S2
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
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
Robust feasibility for control of water flow in a reservoir-canal system
. INTRODUCTION Open-channel hydraulic systems are central to a variety of human needs such as irrigation, power of irrigation systems has be- come a crucial issue. Historically, irrigation systems around the world wereRobust feasibility for control of water flow in a reservoir-canal system Saurabh Amin, Alexandre M
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
2007-03-31T23:59:59.000Z
The objective of this project was to create a low-cost, robust anticipatory wireless sensor network (A-WSN) to ensure the security and reliability of the United States energy infrastructure. This document highlights Eaton Corporation's plan to bring these technologies to market.
A Robust RAM-THP Architecture for Downlink Multiuser MISO Transmission with User Scheduling
Gulak, P. Glenn
A Robust RAM-THP Architecture for Downlink Multiuser MISO Transmission with User Scheduling Saeed-Forcing Tomlinson-Harashima Precoding (ZF-THP) for multi-user trans- mission in a multiple-input-single-output (MU-MISO-THP, zero-forcing, multi- user MISO, precoding, scheduling. I. INTRODUCTION Multiple-Input Multiple
Robust MMSE Tomlinson-Harashima Precoder for Multiuser MISO Downlink with Imperfect CSI
Chockalingam, A.
Robust MMSE Tomlinson-Harashima Precoder for Multiuser MISO Downlink with Imperfect CSI P Abstract--Non-linear precoding for the downlink of a multiuser MISO (multiple-input single-linear precoders in the lit- erature. Keywords Multiuser MISO downlink, multiuser interference, imperfect CSI
QoS-Constrained Robust Beamforming in MISO Wiretap Channels with a Helper
Swindlehurst, A. Lee
QoS-Constrained Robust Beamforming in MISO Wiretap Channels with a Helper Jing Huang and A. Lee for multiple-input single-output (MISO) wiretap chan- nels with a helper. The channel state information (CSI][8]. In particular, for multiple-input single-output (MISO) wiretap channels, the optimal transmit covariance matrix
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
Robust Linearization of RF Amplifiers Using NonLinear Internal Model Control Method
Paris-Sud XI, Université de
Robust Linearization of RF Amplifiers Using NonLinear Internal Model Control Method Smail Bachir #1, the nonlinear Internal Model Control (IMC) method is introduced and applied to linearize high frequency Power to be controlled [8]. If the model is a perfect representation of the non linear system, the controller can
Design of Robust Distribution Networks Run by fourth Party Logistics Service Providers
Armbruster, Dieter
Design of Robust Distribution Networks Run by fourth Party Logistics Service Providers M logistics service provider (LSP), who faces the problem of distributing different products from suppliers distributions. 1 Introduction The logistics networks considered in this paper consist of production facilities
Exploiting Hidden Convexity For Flexible And Robust Resource Allocation In Cellular Networks
Tan, Chee Wei
Exploiting Hidden Convexity For Flexible And Robust Resource Allocation In Cellular Networks Chee transmission in a CDMA cellular network, we propose an optimal power control scheme with congestion Wei Tan1, Daniel P. Palomar2, and Mung Chiang1 1 Electrical Engineering Dept., Princeton University
RNAcode: robust discrimination of coding and noncoding regions in comparative sequence data
#12;RNAcode: robust discrimination of coding and noncoding regions in comparative sequence data@mit.edu Abstract With the availability of genome-wide transcription data and massive comparative sequenc- ing in multiple sequence alignments that is op- timized for emerging applications not covered by current protein
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
Decision-theoretic consideration of robust hashing: link to practical algorithms
Genève, Université de
of digital and analog content as well as goods and products justifying an urgent need for reliable document privacy as well as universality to provide asymptotic independence to a complete or partial lack of priorDecision-theoretic consideration of robust hashing: link to practical algorithms Oleksiy Koval
Transfer Limit Enhancement Using Decentralized Robust STATCOM Control for Wind Farm
Pota, Himanshu Roy
Transfer Limit Enhancement Using Decentralized Robust STATCOM Control for Wind Farm M. J. Hossain wind farms (WFs) penetration on transfer capability. A decentralized minimax linear quadratic Gaussian is paid to the increased use of wind farms, a number of complex issues should be investigated in more
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
ROBUST CONTROL ANALYSIS USING REAL-TIME IMPLEMENTATION OF A HYBRID FUEL CELL POWER GENERATION SYSTEM
Paris-Sud XI, Université de
ROBUST CONTROL ANALYSIS USING REAL-TIME IMPLEMENTATION OF A HYBRID FUEL CELL POWER GENERATION the control of two identical boost power converters. For the closed-loop control a previously proposed proposed by the authors in former works. The control actuators are the duty cycles of the boost power
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
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
Multi-stage Learning for Robust Lung Segmentation in Challenging CT Volumes
Multi-stage Learning for Robust Lung Segmentation in Challenging CT Volumes Michal Sofka1 , Jens Imaging, Siemens Healthcare, Oxford, UK Abstract. Simple algorithms for segmenting healthy lung parenchyma an ini- tialization of a statistical shape model of the lungs. The initialization first detects
ROBUST SEGMENTATION OF LUNG TISSUE IN CHEST CT SCANNING Amal Farag, James Graham and Aly Farag
Louisville, University of
ROBUST SEGMENTATION OF LUNG TISSUE IN CHEST CT SCANNING Amal Farag, James Graham and Aly Farag.edu ABSTRACT This paper deals with segmentation of the lung tissues from low dose CT (LDCT) scans of the chest. Goal is correct segmentation as well as maintaining the details of the lung region in the chest cavity
Robust Segmentation of Challenging Lungs in CT using Multi-Stage Learning
Robust Segmentation of Challenging Lungs in CT using Multi-Stage Learning and Level Set.Kevin Zhou1 Abstract Automatic segmentation of lung tissue in thoracic CT scans is useful for diagnosis and treatment planning of pulmonary diseases. Unlike healthy lung tissue that is easily identifiable in CT scans
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
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
Piccoli, Benedetto
as robustness of control performances of exemplary control systems are computed. I. INTRODUCTION The modern of control systems. However, as randomized algorithms provide an efficient solution procedure approach to performance analysis of control systems is mainly focused on deterministic methods [8
Modelling of power plant dynamics and uncertainties for robust control synthesis *
Ray, Asok
control synthesis of electric power generation systems under wide-range operations. Based, these models are still too complex for control systems Address reprint requests to Dr. Ray at the Department on the accuracy of the plant model. For modern robust control synthesis such as those using the H
General High Performance Adaptive Robust Motion Control of Machine Tools Mohammed Al-Majed++
Yao, Bin
the advantages and improved performance obtained via the ARC design. I. Introduction Modern mechanical systems,4] is applied to the high performance motion control of machine tools to make the resulting closed-loop systemGeneral High Performance Adaptive Robust Motion Control of Machine Tools Bin Yao + Mohammed Al
Title of Dissertation: CHARACTERIZATION OF QUANTUM EFFICIENCY AND ROBUSTNESS OF CESIUM-BASED
Anlage, Steven
efficiency for contaminated cesium-coated surfaces, affirming the dispenser prescription of cesium resupplyABSTRACT Title of Dissertation: CHARACTERIZATION OF QUANTUM EFFICIENCY AND ROBUSTNESS OF CESIUM to maintain high current density. But faced with contamination, heating, and ion back-bombardment, the highest
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
Erratum (astro-ph/0510172): Robust Limits on Lorentz Violation from Gamma-Ray Bursts
John Ellis; N. E. Mavromatos; D. V. Nanopoulos; A. S. Sakharov; E. K. G. Sarkisyan
2007-12-17T23:59:59.000Z
We correct the fitting formula used in refs. [1,2] to obtain a robust limit on a violation of Lorentz invariance that depends linearly on the photon energy. The correction leads to a slight increase of the limit on the scale of the violation, to M > 1.4 x 10^{16} GeV.
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
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
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
Prices of robustness and reblending in oil industry Stefan Janaqi.* Jorge Aguilera*. Meriam Chbre**
Paris-Sud XI, Université de
Prices of robustness and reblending in oil industry Stefan Janaqi.* Jorge Aguilera*. Meriam Chébre Direction, TOTAL Refining &Marketing, Le Havre, France (e-mail: meriam.chebre@total.com) Abstract-time optimization method for the on-line linear oil blending process. Our approach places this problem in a wider
Including robustness in multi-criteria optimization for intensity-modulated proton therapy
Chen, Wei; Trofimov, Alexei; Madden, Thomas; Kooy, Hanne; Bortfeld, Thomas; Craft, David
2011-01-01T23:59:59.000Z
We present a method to include robustness into a multi-criteria optimization (MCO) framework for intensity-modulated proton therapy (IMPT). The approach allows one to simultaneously explore the trade-off between different objectives as well as the trade-off between robustness and nominal plan quality. In MCO, a database of plans each emphasizing different treatment planning objectives, is pre-computed to approximate the Pareto surface. An IMPT treatment plan that strikes the best balance between the different objectives can be selected by navigating on the Pareto surface. In our approach, robustness is integrated into MCO by adding robustified objectives and constraints to the MCO problem. Uncertainties of the robust problem are modeled by pre-calculated dose-influence matrices for a nominal scenario and a number of pre-defined error scenarios. A robustified objective represents the worst objective function value that can be realized for any of the error scenarios. The optimization method is based on a linear...
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
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
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
Signal Processing 86 (2006) 31963211 Robust wireless video multicast based on a distributed source
Tagliasacchi, Marco
2006-01-01T23:59:59.000Z
. 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
Fusion of Visual and Thermal Signatures with Eyeglass Removal for Robust Face Recognition
Abidi, Mongi A.
, eyeglasses, which block thermal energy, are detected from thermal images and replaced with an eye template for detection and recognition of faces. Thermal IR sensors measure heat energy emitted, not reflected, from energy. In this paper, the fusion of visual and thermal IR images is presented for enhancing robustness
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
DESIGN AND PERFORMANCE OF A ROBUST GPS/INS ATTITUDE SYSTEM FOR AUTOMOBILE
Stanford University
DESIGN AND PERFORMANCE OF A ROBUST GPS/INS ATTITUDE SYSTEM FOR AUTOMOBILE APPLICATIONS cars has led to a growing number of GPS applications in the automobile industry. In addition of an inexpensive and ro- bust attitude system based on GPS and inertial sensors, suitable for use in automobiles
Reliable p-median facility location problem: two-stage robust models ...
2012-12-18T23:59:59.000Z
Results show the significant influence of the demand loss factor on the network ... network components could lose their functions and become unavailable in practice. .... (i) To the best of our knowledge, no research has been done to apply two-stage ...... Robust Unit Commitment Problem with Demand Response and Wind.
Vortex avalanches with robust statistics observed in superconducting niobium E. Altshuler,1,2
Zeldov, Eli
Vortex avalanches with robust statistics observed in superconducting niobium E. Altshuler,1,2 T. H topography of superconducting niobium samples as the external field is slowly increased. The avalanche size in Ref. 11, was quite limited, being based on only a few hundred events. Nowak et al.12 studied niobium
Paris-Sud XI, Université de
the second one on force [4][5]. In order to synthesize a controller for the manipulation force, a model is necessary. However, it is known that the model linking this manipulation force and the input controlRobust control for a class of interval model: application to the force control of piezoelectric
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
A Robust Bayesian Fusion Algorithm for Lane and Pavement boundary detection
Hero, Alfred O.
1 A Robust Bayesian Fusion Algorithm for Lane and Pavement boundary detection Bing Ma, Sridhar Lakshmanan, Alfred O. Hero Abstract In this paper we propose to jointly detect lane and pavement boundaries is employed to locate the lane and pavement boundaries. Since the circular model parameters possess compatible
Improving Robustness in P2PS and a Generic Belief Propagation Service for P2PKit
Bonaventure, Olivier
propagation service designed using P2PKit, showing an example of usage with the k-partition algorithm for loadImproving Robustness in P2PS and a Generic Belief Propagation Service for P2PKit Boris Mej´ias, Yves Jaradin, and Peter Van Roy Universit´e catholique de Louvain, Louvain-la-Neuve, Belgium firstname
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
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
Controllability and invariance of monotone systems for robust ventilation automation in buildings
Paris-Sud XI, Université de
Controllability and invariance of monotone systems for robust ventilation automation in buildings [2] and control [3] of Heating, Ventilating and Air Conditioning (HVAC) systems leads to an improved comfort for the users and a reduction of energy consumption. Compared to traditional ceiling ventilation
NREL discoveries will enable manufacturers to produce more robust photovoltaic modules.
-Induced Degradation Mechanisms on PV Modules and Methods For Test." 37th IEEE Photovoltaic Specialists Conference. KeyNREL 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
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 Resource Allocation in Weather Data Processing Systems Mohana Oltikar1
Maciejewski, Anthony A. "Tony"
Robust 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 operation of space-based weather monitoring systems. This work defines a heterogeneous weather data
Paris-Sud XI, Université de
Robust damage assessment of multiple cracks based on the Frequency Response Function a damage assessment technique for the non destructive detection and sizing of multiple open cracks in beams, many researchers have performed extensive investigations and damage assess- ment techniques based
Robust Optimal Control Strategies for a Hybrid Fuel Cell Power Management System
Paris-Sud XI, Université de
Robust Optimal Control Strategies for a Hybrid Fuel Cell Power Management System David Hern strategies are proposed for the power management subsystem of a hybrid fuel cell/supercapacitor power generation system. The control strate- gies are based on different control configurations involving the power
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
Boyer, Edmond
Tijuana-Ensenada, Ensenada, B.C. 22860 Mexico Abstract This paper deals with the robust stabilization. Introduction Fossil fuels (oil, gas, coal) account for approximately 85% of the worldwide sources of primary inexhaustible and safe source of energy because the reserves in nuclear fuel are plenty (Deuterium can
Qu, Zhihua
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 48, NO. 10, OCTOBER 2003 1817 Adaptive and Robust Controls of Uncertain Systems With Nonlinear Parameterization Zhihua Qu Abstract--Two classes of partially--Adaptive control, nonlinear parameterization, observer, robust control, uncertain systems. I. INTRODUCTION In many
Nagurney, Anna
Conclusions Network Efficiency/Performance Measurement with Vulnerability and Robustness Analysis Conclusions 1 Motivation 2 Literature Review 3 Network Efficiency/Performance Measure Variational Inequality Robustness SCN Model Fin. Net. Model Conclusions 1 Motivation 2 Literature Review 3 Network Efficiency/Performance
Pota, Himanshu Roy
Abstract--This paper presents a robust excitation controller design for power systems to improve linearization where some parts of power systems need to be linearized. The robustness of the proposed control scheme is ensured by considering uncertainties within power systems model. In this paper
Ford, David N.
(e.g., the US Department of Energy's Supercollider project). But some projects that are completed tested and system robustness to tipping point-induced failure is quantified for a simple project opportunities concerning tipping point and robustness in project management are discussed. Copyright Â© 2006 John
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
Switched system modeling and robust steering control of the tail end phase in a hot strip mill
Paris-Sud XI, Université de
Switched system modeling and robust steering control of the tail end phase in a hot strip mill Ivan`eres-l`es-Metz Cedex, France Abstract In this article, a robust steering control for the last phase of the rolling switched system. The switchings make the system unstable and the task of the tail end steering control
Yao, Bin
Integrated Direct/Indirect Adaptive Robust Precision Control of Linear Motor Drive Systems The focus of the paper is on the synthesis of nonlinear adaptive robust controllers for precision linear control of linear motor drive systems but with an improved estimation model, in which accurate parameter
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
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
Wigderson, Avi
Robust local testability of tensor products of LDPC codes # Irit Dinur 1 , Madhu Sudan 2 , and AviSasson and Sudan [6]): Pick a random row (or column) and check if the received word is in R (or C). Robustness and Sudan [12], who describe them as the ``combi natorial core of PCPs''. They constructed LTCs relying
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
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
Brest, Université de
1 Robustness of intratumour 18F-FDG PET uptake heterogeneity quantification for therapy response as a significant robustness with respect to the delineation method used and PVE. Keywords: 18 FDG-PET/CT prediction. inserm-00845976,version1-18Jul2013 #12;4 18 F-FDG Positron Emission Tomography
Yao, Bin
Energy-Saving Adaptive Robust Motion Control of Single-Rod Hydraulic Cylinders with Programmable, IN 47907, USA byao@ecn.purdue.edu Abstract This paper studies the energy-saving adaptive robust motion control of a single-rod hydraulic cylinder through the use of programmable valves. The programmable valve
Eftekhari Shahroudi, Kamran, 1965-
2008-01-01T23:59:59.000Z
In-Cylinder Pressure Sensors (ICPS) today are close to satisfying the robustness, performance and cost requirements for application to closed loop control and monitoring of production automotive engines. Using the Robust ...
Rodrigo Laje; Dean V. Buonomano
2012-10-07T23:59:59.000Z
It is widely accepted that the complex dynamics characteristic of recurrent neural circuits contributes in a fundamental manner to brain function. Progress has been slow in understanding and exploiting the computational power of recurrent dynamics for two main reasons: nonlinear recurrent networks often exhibit chaotic behavior and most known learning rules do not work in robust fashion in recurrent networks. Here we address both these problems by demonstrating how random recurrent networks (RRN) that initially exhibit chaotic dynamics can be tuned through a supervised learning rule to generate locally stable neural patterns of activity that are both complex and robust to noise. The outcome is a novel neural network regime that exhibits both transiently stable and chaotic trajectories. We further show that the recurrent learning rule dramatically increases the ability of RRNs to generate complex spatiotemporal motor patterns, and accounts for recent experimental data showing a decrease in neural variability in response to stimulus onset.
Towards a Robust, Efficient Dispenser Photocathode: the Effect of Recesiation on Quantum Efficiency
Montgomery, Eric J.; Pan Zhigang; Leung, Jessica; Feldman, Donald W.; O'Shea, Patrick G. [Institute for Research in Electronics and Applied Physics, University of MD, College Park, MD 20742 (United States); Jensen, Kevin L. [Code 6843, ESTD, Naval Research Laboratory, Washington D.C. 20375-5347 (United States)
2009-01-22T23:59:59.000Z
Future electron accelerators and Free Electron Lasers (FELs) require high brightness electron sources; photocathodes for such devices are challenged to maintain long life and high electron emission efficiency (high quantum efficiency, or QE). The UMD dispenser photocathode design addresses this tradeoff of robustness and QE. In such a dispenser, a cesium-based surface layer is deposited on a porous substrate. The surface layer can be replenished from a subsurface cesium reservoir under gentle heating, allowing cesium to diffuse controllably to the surface and providing demonstrably more robust photocathodes. In support of the premise that recesiation is able to restore contaminated photocathodes, we here report controlled contamination of cesium-based surface layers with subsequent recesiation and the resulting effect on QE. Contaminant gases investigated include examples known from the vacuum environment of typical electron guns.
Takuya Tsuchiya; Gen Yoneda; Hisa-aki Shinkai
2011-03-07T23:59:59.000Z
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)
2011-03-15T23:59:59.000Z
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.
Zhang, P; Hu, J; Tyagi, N; Mageras, G; Lee, N; Hunt, M [Memorial Sloan-Kettering Cancer Center, NY, NY (United States)
2014-06-01T23:59:59.000Z
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.
Network and Index Coding with Application to Robust and Secure Communications
El Rouayheb, Salim Y.
2011-02-22T23:59:59.000Z
. 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...
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
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)
2009-03-05T23:59:59.000Z
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.
CALiPER Report 20.3: Robustness of LED PAR38 Lamps
Poplawski, Michael E.; Royer, Michael P.; Brown, Charles C.
2014-12-31T23:59:59.000Z
Three samples of 40 of the Series 20 PAR38 lamps underwent multi-stress testing, whereby samples were subjected to increasing levels of simultaneous thermal, humidity, electrical, and vibrational stress. The results do not explicitly predict expected lifetime or reliability, but they can be compared with one another, as well as with benchmark conventional products, to assess the relative robustness of the product designs. On average, the 32 LED lamp models tested were substantially more robust than the conventional benchmark lamps. As with other performance attributes, however, there was great variability in the robustness and design maturity of the LED lamps. Several LED lamp samples failed within the first one or two levels of the ten-level stress plan, while all three samples of some lamp models completed all ten levels. One potential area of improvement is design maturity, given that more than 25% of the lamp models demonstrated a difference in failure level for the three samples that was greater than or equal to the maximum for the benchmarks. At the same time, the fact that nearly 75% of the lamp models exhibited better design maturity than the benchmarks is noteworthy, given the relative stage of development for the technology.