Relevant bibliographies by topics / Error state

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Error state'

Author: Grafiati
Published: 4 June 2021
Last updated: 18 February 2022

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Journal articles on the topic "Error state"

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Fowler, A. G., and K. Goyal. "Topological cluster state quantum computing." Quantum Information and Computation 9, no. 9&10 (September 2009): 721–38. http://dx.doi.org/10.26421/qic9.9-10-1.

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The quantum computing scheme described by Raussendorf et. al (2007), when viewed as a cluster state computation, features a 3-D cluster state, novel adjustable strength error correction capable of correcting general errors through the correction of Z errors only, a threshold error rate approaching 1% and low overhead arbitrarily long-range logical gates. In this work, we review the scheme in detail framing the discussion solely in terms of the required 3-D cluster state and its stabilizers.
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Kieffer, Michel. "Distributed bounded-error state estimation." IFAC Proceedings Volumes 42, no. 10 (2009): 360–65. http://dx.doi.org/10.3182/20090706-3-fr-2004.00059.

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Osborn, Denise R. "A Note on Error Correction Mechanisms and Steady-State Error." Economic Journal 96, no. 381 (March 1986): 208. http://dx.doi.org/10.2307/2233435.

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Falcao, D. M., and S. M. de Assis. "Linear programming state estimation: error analysis and gross error identification." IEEE Transactions on Power Systems 3, no. 3 (1988): 809–15. http://dx.doi.org/10.1109/59.14526.

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Dao, Arik-Quang V., James R. Parkinson, and Steven J. Landry. "Identifying Human-Machine Interaction Problems in Continuous State Data." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 60, no. 1 (September 2016): 86–90. http://dx.doi.org/10.1177/1541931213601019.

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A set of studies has been focused on identifying “markers” in aircraft data that are indicative of human factors issues. In this paper we discuss an experiment that investigated if human error is predictable from the error observed from the combined human-machine system. Sixteen pilots flew simulated instrument approaches under varying levels of workload and control augmentation conditions. Operator control lag, gain, delay, and error extent were computed from aircraft lateral path errors. These parameters along with pupil diameter data were analyzed for differences across workload conditions. Main effects for workload were found with respect to all control parameters consistent with the experiment hypotheses, but the effects were very small. Operator delay in responding to errors appeared inversely correlated with workload. Statistically significant differences were also found with respect to error extent ad pupil diameter.
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KOSKENNIEMI, KIMMO. "Finite state morphology and information retrieval." Natural Language Engineering 2, no. 4 (December 1996): 331–36. http://dx.doi.org/10.1017/s1351324997001587.

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A source of potential systematic errors in information retrieval is identified and discussed. These errors occur when base form reduction is applied with a (necessarily) finite dictionary. Formal methods for avoiding this error source are presented, along with some practical complexities met in its implementation.
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von Clarmann, T. "Smoothing error pitfalls." Atmospheric Measurement Techniques 7, no. 9 (September 18, 2014): 3023–34. http://dx.doi.org/10.5194/amt-7-3023-2014.

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Abstract. The difference due to the content of a priori information between a constrained retrieval and the true atmospheric state is usually represented by a diagnostic quantity called smoothing error. In this paper it is shown that, regardless of the usefulness of the smoothing error as a diagnostic tool in its own right, the concept of the smoothing error as a component of the retrieval error budget is questionable because it is not compliant with Gaussian error propagation. The reason for this is that the smoothing error does not represent the expected deviation of the retrieval from the true state but the expected deviation of the retrieval from the atmospheric state sampled on an arbitrary grid, which is itself a smoothed representation of the true state; in other words, to characterize the full loss of information with respect to the true atmosphere, the effect of the representation of the atmospheric state on a finite grid also needs to be considered. The idea of a sufficiently fine sampling of this reference atmospheric state is problematic because atmospheric variability occurs on all scales, implying that there is no limit beyond which the sampling is fine enough. Even the idealization of infinitesimally fine sampling of the reference state does not help, because the smoothing error is applied to quantities which are only defined in a statistical sense, which implies that a finite volume of sufficient spatial extent is needed to meaningfully discuss temperature or concentration. Smoothing differences, however, which play a role when measurements are compared, are still a useful quantity if the covariance matrix involved has been evaluated on the comparison grid rather than resulting from interpolation and if the averaging kernel matrices have been evaluated on a grid fine enough to capture all atmospheric variations that the instruments are sensitive to. This is, under the assumptions stated, because the undefined component of the smoothing error, which is the effect of smoothing implied by the finite grid on which the measurements are compared, cancels out when the difference is calculated. If the effect of a retrieval constraint is to be diagnosed on a grid finer than the native grid of the retrieval by means of the smoothing error, the latter must be evaluated directly on the fine grid, using an ensemble covariance matrix which includes all variability on the fine grid. Ideally, the averaging kernels needed should be calculated directly on the finer grid, but if the grid of the original averaging kernels allows for representation of all the structures the instrument is sensitive to, then their interpolation can be an adequate approximation.
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Movassagh, Kiarash, Arif Raihan, Balakumar Balasingam, and Krishna Pattipati. "A Critical Look at Coulomb Counting Approach for State of Charge Estimation in Batteries." Energies 14, no. 14 (July 6, 2021): 4074. http://dx.doi.org/10.3390/en14144074.

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In this paper, we consider the problem of state-of-charge estimation for rechargeable batteries. Coulomb counting is a well-known method for estimating the state of charge, and it is regarded as accurate as long as the battery capacity and the beginning state of charge are known. The Coulomb counting approach, on the other hand, is prone to inaccuracies from a variety of sources, and the magnitude of these errors has not been explored in the literature. We formally construct and quantify the state-of-charge estimate error during Coulomb counting due to four types of error sources: (1) current measurement error; (2) current integration approximation error; (3) battery capacity uncertainty; and (4) timing oscillator error/drift. It is demonstrated that the state-of-charge error produced can be either time-cumulative or state-of-charge-proportional. Time-cumulative errors accumulate over time and have the potential to render the state-of-charge estimation utterly invalid in the long term.The proportional errors of the state of charge rise with the accumulated state of charge and reach their worst value within one charge/discharge cycle. The study presents methods for reducing time-cumulative and state-of-charge-proportional mistakes through simulation analysis.
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Li, Xin, Zhi Xiong Zhang, Jian Zhong Shang, and Yu Jun Cao. "Research on Angular Variation for Aeroplane-Assembly Base on State Space Model." Applied Mechanics and Materials 278-280 (January 2013): 149–54. http://dx.doi.org/10.4028/www.scientific.net/amm.278-280.149.

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Abstract. Variation modeling is one of the most significant tools for assembly variation analysis. Considering dimension and geometric errors, and part situation errors, the error source that affects assembly accuracy is classified into two types: error of geometric location and orientation, error of geometric form. And unify these different types of error or deviation by the concept of Virtual Fixture. So a rigid assembly state space model is developed for stream of variation analysis in multi-station assembly processes. And an aeroplane-cabin-assembly process is analyzed in this model. The developed methodology outperforms the current simulation based techniques in computation efficiency, the model is validated using Monte Carlo series Simulations.
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Xu, Lin, Kevin Tomsovic, and Anjan Bose. "Topology error identification using a two-stage DC state estimator." Electric Power Systems Research 74, no. 1 (April 2005): 167–75. http://dx.doi.org/10.1016/j.epsr.2004.10.005.

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Dissertations / Theses on the topic "Error state"

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Covello, James Anthony. "Nonlinear Bounded-Error Target State Estimation Using Redundant States." Diss., The University of Arizona, 2006. http://hdl.handle.net/10150/195557.

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When the primary measurement sensor is passive in nature--by which we mean that it does not directly measure range or range rate--there are well-documented challenges for target state estimation. Most estimation schemes rely on variations of the Extended Kalman Filter (EKF), which, in certain situations, suffer from divergence and/or covariance collapse. For this and other reasons, we believe that the Kalman filter is fundamentally ill-suited to the problems that are inherent in target state estimation using passive sensors. As an alternative, we propose a bounded-error (or set-membership) approach to the target state estimation problem. Such estimators are nearly as old as the Kalman filter, but have enjoyed much less attention. In this study we develop a practical estimator that bounds the target states, and apply it to the two-dimensional case of a submarine tracking a surface vessel, which is commonly referred to as Target Motion Analysis (TMA). The estimator is robust in the sense that the true target state does not escape the determined bounds; and the estimator is not unduly pessimistic in the sense that the bounds are not wider than the situation dictates. The estimator is--as is the problem itself--nonlinear and geometric in nature. In part, the simplicity of the estimator is maintained by using redundant states to parameterize the target's velocity. These redundant states also simplify the incorporation of other measurements that are frequently available to the system. The estimator's performance is assessed in a series of simulations and the results are analyzed. Extensions of the algorithm are considered.
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Schwarz, Lucia. "Error Models for Quantum State and Parameter Estimation." Thesis, University of Oregon, 2014. http://hdl.handle.net/1794/18526.

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Within the field of Quantum Information Processing, we study two subjects: For quantum state tomography, one common assumption is that the experimentalist possesses a stationary source of identical states. We challenge this assumption and propose a method to detect and characterize the drift of nonstationary quantum sources. We distinguish diffusive and systematic drifts and examine how quickly one can determine that a source is drifting. Finally, we give an implementation of this proposed measurement for single photons. For quantum computing, fault-tolerant protocols assume that errors are of certain types. But how do we detect errors of the wrong type? The problem is that for large quantum states, a full state description is impossible to analyze, and so one cannot detect all types of errors. We show through a quantum state estimation example (on up to 25 qubits) how to attack this problem using model selection. We use, in particular, the Akaike Information Criterion. Our example indicates that the number of measurements that one has to perform before noticing errors of the wrong type scales polynomially both with the number of qubits and with the error size. This dissertation includes previously published co-authored material.
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Marka, Madhavi. "Object-based unequal error protection." Thesis, Mississippi State : Mississippi State University, 2002. http://library.msstate.edu/etd/show.asp?etd=etd-06242002-152555.

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Lawson, W. Gregory 1975. "Probabilistic state estimation in regimes of nonlinear error growth." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/30291.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Earth, Atmospheric, and Planetary Sciences, 2005.
Includes bibliographical references (p. 273-286).
State estimation, or data assimilation as it is often called, is a key component of numerical weather prediction (NWP). Nearly all implementable methods of state estimation suitable for NWP are forced to assume that errors remain in regimes of linear error growth and retain distributions of Gaussian uncertainty, yet nonlinear systems like the atmosphere can readily allow regimes of nonlinear error growth and, in turn, produce distributions of non- Gaussian uncertainty. State-of-the-art, ensemble-based methods of state estimation suitable for NWP are examined to gauge the consequences and relevance of violating the linear error growth assumption. For quite generic sources of non-Gaussian uncertainty, the methods are observed to fail, as they must, and the obtained analyses become probabilistically unreliable before becoming inaccurate. The mispositioning of coherent features is identified as a specific, geophysically relevant source of non-Gaussian uncertainty that can easily cause the state-of-the-art methods of state estimation to fail. However, an understanding of relevant phenomenology sometimes allows these same methods to remain successful owing to an available redefinition of the involved errors. The redefinition is phrased as an alternative error model. It is recognized and exploited that non-Gaussian additive Eulerian errors can come from Gaussian Lagrangian position errors. A two-step, augmented state vector approach is developed that is suitable for use with coherent features and that relies only on implementable methods of state estimation.
(cont.) By combining the dual Eulerian and Lagrangian state information into one vector, an ensemble can approximate their covariance, thus allowing each component's uncertainty to be reduced. The first step of the two-step approach reduces the feature position errors in an effort to render the residual additive errors Gaussian, thereby allowing the second step of an implementable state estimation method to proceed successfully. Philosophically, the two-step approach uses physical knowledge of the problem (as phrased by the error model) to compensate for neglected important non-Gaussian uncertainty structure in the state estimation process. The proposed two-step approach successfully allows use of implementable methods of state estimation to obtain probabilistically reliable analyses in regimes of nonlinear error growth, something unavailable using current standards.
by W. Gregory Lawson.
Ph.D.
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Carr, James. "Error analysis of X-ray photon correlation spectroscopy measurements." Thesis, McGill University, 2013. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=117183.

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The use of a theory to extract parameters from experimental data requires proper understanding of the statistical variation. Furthermore, the improvement of any experimental technique requires a sound understanding of the sources of error and an accurate model of how experimental parameters effect signal strength and noise. The second order intensity-intensity correlation function is the standard measured quantity in dynamic light scattering and x-ray photon correlation spectroscopy (XPCS) experiments. In this thesis we compare the measured variances of the correlation function to a model based on the statistics of dynamic light scattering. Agreement between the dynamic light scattering model and the x-ray photon correlation spectroscopy data is shown. XPCS experiments are typically conducted with low photon flux and are used to study long time constants. To achieve sufficient statistics area detectors are used. We show that there are appreciable correlations between near neighbour pixels. These correlations reveal important features that must be included to accurately draw conclusions from XPCS experiments.
L'utilisation d'une théorie pour extraire des paramètres depuis des données expérimentales nécessite une compréhension des variations statistiques. De plus, l'amélioration d'une technique expérimentale repose sur la compréhension des sources d'erreurs and d'un modèle précis de l'effet des paramètres expérimentaux sur le signal et le bruit. La fonction de corrélation intensité-intensité de deuxième ordre est une quantité de mesure standardisée pour les expériences de diffusion de lumière dynamique et de spectroscopie de corrélation de photons en rayons X (X-ray Photon Correlation Spectroscopy, XPCS). Dans cette thèse, nous comparons les variances mesurées de la fonction de corrélation à un modèle basé sur les statistiques de diffusion de lumière dynamique. Nous démontrons l'accord entre le modèle de diffusion de lumière dynamique et les données XPCS. Les expériences XPCS sont en général effectuées avec un faible flux de photons et sont utilisées pourétudier les constantes à long terme. Pour atteindre des statistiques susantes, de détecteurs à résolution spatiale sont utilisés. Nous montrons l'existence de corrélations entre pixels voisins. Ces corrélations révèlent d'importantes caractéristiques qui doivent tre inclues afin de tirer des conclusions précises des expériences XPCS.
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Ji, Wenyan. "Error analysis and system improvements in phase-stepping methods for photoelasticity." Thesis, University of Sheffield, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.284401.

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Ilarraza, Arantza Díaz de, Koldo Gojenola, Maite Oronoz, Maialen Otaegi, and Iñaki Alegria. "Syntactic error detection and correction in date expressions using finite-state transducers." Universität Potsdam, 2008. http://opus.kobv.de/ubp/volltexte/2008/2718/.

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This paper presents a system for the detection and correction of syntactic errors. It combines a robust morphosyntactic analyser and two groups of finite-state transducers specified using the Xerox Finite State Tool (xfst). One of the groups is used for the description of syntactic error patterns while the second one is used for the correction of the detected errors. The system has been tested on a corpus of real texts, containing both correct and incorrect sentences, with good results.
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Walia, Gursimran Singh. "Using error modeling to improve and control software quality an empirical investigation /." Diss., Mississippi State : Mississippi State University, 2009. http://library.msstate.edu/etd/show.asp?etd=etd-04032009-070637.

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Walia, Gursimran Singh. "Empirical Validation of Requirement Error Abstraction and Classification: A Multidisciplinary Approach." MSSTATE, 2006. http://sun.library.msstate.edu/ETD-db/theses/available/etd-05152006-151903/.

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Software quality and reliability is a primary concern for successful development organizations. Over the years, researchers have focused on monitoring and controlling quality throughout the software process by helping developers to detect as many faults as possible using different fault based techniques. This thesis analyzed the software quality problem from a different perspective by taking a step back from faults to abstract the fundamental causes of faults. The first step in this direction is developing a process of abstracting errors from faults throughout the software process. I have described the error abstraction process (EAP) and used it to develop error taxonomy for the requirement stage. This thesis presents the results of a study, which uses techniques based on an error abstraction process and investigates its application to requirement documents. The initial results show promise and provide some useful insights. These results are important for our further investigation.
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Behrens, Diogo. "Error isolation in distributed systems." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-203428.

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In distributed systems, if a hardware fault corrupts the state of a process, this error might propagate as a corrupt message and contaminate other processes in the system, causing severe outages. Recently, state corruptions of this nature have been observed surprisingly often in large computer populations, e.g., in large-scale data centers. Moreover, since the resilience of processors is expected to decline in the near future, the likelihood of state corruptions will increase even further. In this work, we argue that preventing the propagation of state corruption should be a first-class requirement for large-scale fault-tolerant distributed systems. In particular, we propose developers to target error isolation, the property in which each correct process ignores any corrupt message it receives. Typically, a process cannot decide whether a received message is corrupt or not. Therefore, we introduce hardening as a class of principled approaches to implement error isolation in distributed systems. Hardening techniques are (semi-)automatic transformations that enforce that each process appends an evidence of good behavior in the form of error codes to all messages it sends. The techniques “virtualize” state corruptions into more benign failures such as crashes and message omissions: if a faulty process fails to detect its state corruption and abort, then hardening guarantees that any corrupt message the process sends has invalid error codes. Correct processes can then inspect received messages and drop them in case they are corrupt. With this dissertation, we contribute theoretically and practically to the state of the art in fault-tolerant distributed systems. To show that hardening is possible, we design, formalize, and prove correct different hardening techniques that enable existing crash-tolerant designs to handle state corruption with minimal developer intervention. To show that hardening is practical, we implement and evaluate these techniques, analyzing their effect on the system performance and their ability to detect state corruptions in practice.
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Books on the topic "Error state"

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Vogler, Lewis E. Extended single-error-state model for bit error statistics. [Washington, D.C.]: U.S. Dept. of Commerce, National Telecommunications and Information Administration, 1986.

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Vogler, Lewis E. Extended single-error-state model for bit error statistics. [Washington, D.C.]: U.S. Dept. of Commerce, National Telecommunications and Information Administration, 1986.

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Vogler, Lewis E. Extended single-error-state model for bit error statistics. [Washington, D.C.]: U.S. Dept. of Commerce, National Telecommunications and Information Administration, 1986.

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Vogler, Lewis E. Extended single-error-state model for bit error statistics. [Washington, D.C.]: U.S. Dept. of Commerce, National Telecommunications and Information Administration, 1986.

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Vogler, Lewis E. Extended single-error-state model for bit error statistics. [Washington, D.C.]: U.S. Dept. of Commerce, National Telecommunications and Information Administration, 1986.

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Vogler, Lewis E. Extended single-error-state model for bit error statistics. [Washington, D.C.]: U.S. Dept. of Commerce, National Telecommunications and Information Administration, 1986.

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Sustaita, Leopoldo Camacho. La modernización educativa: Un error estratégico. [México]: Centro Regional de Investigación y Planificación Social, 1991.

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Moles, Robert N. A state of injustice. South Melbourne: Lothian, 2004.

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Baram, Yoram. Mean-square error bounds for reduced-order linear state estimators. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1987.

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Tucker, J. V. Program correctness over abstract data types, with error-state semantics. Amsterdam: North-Holland, 1988.

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Book chapters on the topic "Error state"

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Vilares, Manuel, Juan Otero, and Jorge Graña. "Regional Finite-State Error Repair." In Implementation and Application of Automata, 269–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-30500-2_25.

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Pielaszek, Roman, Witold Łojkowski, Stanislaw Gierlotka, and Stephen Doyle. "Error Estimation in XRD Crystallite Size Measurements." In Solid State Phenomena, 313–20. Stafa: Trans Tech Publications Ltd., 2006. http://dx.doi.org/10.4028/3-908451-22-1.313.

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Nikolayev, D. I., T. A. Lychagina, A. V. Nikishin, and V. V. Yudin. "Study of Error Distribution in Measured Pole Figures." In Solid State Phenomena, 77–82. Stafa: Trans Tech Publications Ltd., 2005. http://dx.doi.org/10.4028/3-908451-09-4.77.

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Condon, Anne. "Bounded Error Probabilistic Finite State Automata." In Handbook of Randomized Computing, 509–31. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-0013-1_13.

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Vilares, Manuel, Juan Otero, and Jorge Graña. "On Asymptotic Finite-State Error Repair." In String Processing and Information Retrieval, 271–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30213-1_39.

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Hernández-Guzmán, Victor Manuel, and Ramón Silva-Ortigoza. "Stability Criteria and Steady-State Error." In Automatic Control with Experiments, 193–234. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75804-6_4.

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Vilares, M., J. Otero, and J. Graña. "Regional Versus Global Finite-State Error Repair." In Computational Linguistics and Intelligent Text Processing, 120–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-30586-6_12.

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Yi, Grace Y. "Multi-State Models with Error-Prone Data." In Springer Series in Statistics, 257–300. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-6640-0_6.

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Encheva, Sylvia, and Gérard Cohen. "On the State Complexities of Ternary Codes." In Applied Algebra, Algebraic Algorithms and Error-Correcting Codes, 454–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-46796-3_43.

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Akdemir, Kahraman D., Ghaith Hammouri, and Berk Sunar. "Non-linear Error Detection for Finite State Machines." In Information Security Applications, 226–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10838-9_17.

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Conference papers on the topic "Error state"

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Chandrasekaran, Kamali, Shikha Jain, Yamini Yarlagadda, and Amitabh Saraf. "Airdata calibration using error state filter." In AIAA Atmospheric Flight Mechanics Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2017. http://dx.doi.org/10.2514/6.2017-3895.

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Tanakamaru, Shuhei, Yuki Yanagihara, and Ken Takeuchi. "Over-10×-extended-lifetime 76%-reduced-error solid-state drives (SSDs) with error-prediction LDPC architecture and error-recovery scheme." In 2012 IEEE International Solid- State Circuits Conference - (ISSCC). IEEE, 2012. http://dx.doi.org/10.1109/isscc.2012.6177074.

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Zhou, Tong. "Robust state estimation using error sensitivity penalizing." In 2008 47th IEEE Conference on Decision and Control. IEEE, 2008. http://dx.doi.org/10.1109/cdc.2008.4738615.

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Skelton, R. E., and D. Williamson. "Guaranteed state estimation accuracies with roundoff error." In 29th IEEE Conference on Decision and Control. IEEE, 1990. http://dx.doi.org/10.1109/cdc.1990.203599.

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Smith, Ronnie. "Comparative Error Analysis of Dialog State Tracking." In Proceedings of the 15th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL). Stroudsburg, PA, USA: Association for Computational Linguistics, 2014. http://dx.doi.org/10.3115/v1/w14-4341.

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Kumar, Ashish, G. S. Visweswaran, and Kaushik Saha. "Low voltage error resilient SRAM using run-time error detection and correction." In ESSCIRC Conference 2015 - 41st European Solid-State Circuits Conference. IEEE, 2015. http://dx.doi.org/10.1109/esscirc.2015.7313895.

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Mao, X., D. J. Tylavsky, and N. Logic. "Non-collocated Measurement Error and Sign Error Identification to Enhance State Estimator." In 2007 39th North American Power Symposium. IEEE, 2007. http://dx.doi.org/10.1109/naps.2007.4402340.

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Carvalho, Breno E. B., and Newton G. Bretas. "Gross error processing in state estimation: Comparing the residual and the error tests." In 2017 IEEE Manchester PowerTech. IEEE, 2017. http://dx.doi.org/10.1109/ptc.2017.7980921.

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Wu, Rong, Johan H. Huijsing, and Kofi A. A. Makinwa. "A current-feedback instrumentation amplifier with a gain error reduction loop and 0.06% untrimmed gain error." In 2011 IEEE International Solid- State Circuits Conference - (ISSCC). IEEE, 2011. http://dx.doi.org/10.1109/isscc.2011.5746303.

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Pavlushkov, V., R. Johannesson, and V. V. Zyablov. "Unequal error protection explained by state-transition graphs." In Proceedings. International Symposium on Information Theory, 2005. ISIT 2005. IEEE, 2005. http://dx.doi.org/10.1109/isit.2005.1523745.

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Reports on the topic "Error state"

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Dong, J., M. Chen, and A. Suryanarayana. Subcodes for BGP Finite State Machine Error. RFC Editor, May 2012. http://dx.doi.org/10.17487/rfc6608.

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Hacker, Joshua P., Cari G. Kaufman, and James Hansen. State-Space Analysis of Model Error: A Probabilistic Parameter Estimation Framework with Spatial Analysis of Variance. Fort Belvoir, VA: Defense Technical Information Center, September 2012. http://dx.doi.org/10.21236/ada574466.

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Keith, B., A. Apostolatos, A. Kodakkal, R. Rossi, R. Tosi, B. Wohlmuth, and C. Soriano. D2.3. Adjoint-based error estimation routines. Scipedia, 2021. http://dx.doi.org/10.23967/exaqute.2021.2.022.

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This document presents a simple and ecient strategy for adaptive mesh renement (AMR) and a posteriori error estimation for the transient incompressible Navier{Stokes equations. This strategy is informed by the work of Prudhomme and Oden [22, 23] as well as modern goal-oriented methods such as [5]. The methods described in this document have been implemented in the Kratos Multiphysics software and uploaded to https://zenodo.org [27].1 This document includes: A review of the state-of-the-art in solution-oriented and goal-oriented AMR. The description of a 2D benchmark model problem of immediate relevance to the objectives of the ExaQUte project. The denition and a brief mathematical summary of the error estimator(s). The results obtained. A description of the API.
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Collins, Clarence O., and Tyler J. Hesser. altWIZ : A System for Satellite Radar Altimeter Evaluation of Modeled Wave Heights. Engineer Research and Development Center (U.S.), February 2021. http://dx.doi.org/10.21079/11681/39699.

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This Coastal and Hydraulics Engineering Technical Note (CHETN) describes the design and implementation of a wave model evaluation system, altWIZ, which uses wave height observations from operational satellite radar altimeters. The altWIZ system utilizes two recently released altimeter databases: Ribal and Young (2019) and European Space Agency Sea State Climate Change Initiative v.1.1 level 2 (Dodet et al. 2020). The system facilitates model evaluation against 1 Hz1 altimeter data or a product created by averaging altimeter data in space and time around model grid points. The system allows, for the first time, quantitative analysis of spatial model errors within the U.S. Army Corps of Engineers (USACE) Wave Information Study (WIS) 30+ year hindcast for coastal United States. The system is demonstrated on the WIS 2017 Atlantic hindcast, using a 1/2° basin scale grid and a 1/4° regional grid of the East Coast. Consistent spatial patterns of increased bias and root-mean-square-error are exposed. Seasonal strengthening and weakening of these spatial patterns are found, related to the seasonal variation of wave energy. Some model errors correspond to areas known for high currents, and thus wave-current interaction. In conjunction with the model comparison, additional functions for pairing altimeter measurements with buoy data and storm tracks have been built. Appendices give information on the code access (Appendix I), organization and files (Appendix II), example usage (Appendix III), and demonstrating options (Appendix IV).
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Bohorquez-Penuela, Camilo, and Mariana Urbina-Ramirez. Rising Staple Prices and Food Insecurity: The Case of the Mexican Tortilla. Banco de la República de Colombia, November 2020. http://dx.doi.org/10.32468/be.1144.

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We study the relationship between rising prices of tortillas---the Mexican staple par excellence---and household food insecurity between 2008 and 2014, a period in which global food prices experienced dramatic increases. The use of a unique combination of household-level data and official state-level information on prices allows us exploit signi cant variation in prices across the Mexican states. Since households cannot be tracked across time, we follow Deaton (1985) by constructing a series of pseudo-panels to control for time- invariant unobserved heterogeneity and measurement error. The regression estimates suggest that increasing tortilla prices affected food insecurity rates in Mexico. More speci cally, households with children or those in the second or third income quintile are more likely to be affected.
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Wilhelm, Daniel, and Young Jun Lee. Testing for the presence of measurement error in Stata. The IFS, September 2019. http://dx.doi.org/10.1920/wp.cem.2019.4719.

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Berzofsky, Marcus E., Andrew Moore, G. Lance Couzens, Lynn Langton, and Chris Krebs. Potential Survey Error Due to a Panel Design: A Review and Evaluation of the National Crime Victimization Survey. RTI Press, July 2020. http://dx.doi.org/10.3768/rtipress.2020.rr.0039.2007.

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We use a total survey error approach to examine and make recommendations on how to adjust for non-sampling error in longitudinal, mixed-mode surveys. Using data from the National Crime Victimization Survey (NCVS), we examine three major sources of non-sampling error: telescoping, mode effects, and fatigue. We present an assessment of each source of error from a total survey error perspective and propose alternative adjustments to adjust better for this error. Findings suggest that telescoping and fatigue are likely sources of error in the NCVS, but the use of mixed-modes is not. Furthermore, both telescoping and fatigue are present in longitudinal surveys and accounting for one but not the other results in estimates that under- or overestimate the measures of interest—in this case, the rate of crime in the United States.
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Weinstein, Emily. Chinese Talent Program Tracker. Center for Security and Emerging Technology, November 2020. http://dx.doi.org/10.51593/20200066.

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China operates a number of party- and state-sponsored talent programs to recruit researchers -- Chinese citizens and non-citizens alike -- to bolster its strategic civilian and military goals. CSET has created a tracker to catalog publicly available information about these programs. This catalog is a work in progress; if you have further information on programs currently not included in it -- or if you spot an error -- please complete the form at http://bit.ly/ChineseTalent
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Watson, Rickey. The United States' Rejection of the International Criminal Court: A Strategic Error. Fort Belvoir, VA: Defense Technical Information Center, May 2008. http://dx.doi.org/10.21236/ada486522.

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Malisoff, Michael, and Eduardo Sontag. Asymptotic Controllability and Input-to-State Stabilization: The Effect of Actuator Errors. Fort Belvoir, VA: Defense Technical Information Center, December 2003. http://dx.doi.org/10.21236/ada437323.

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