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Добірка наукової літератури з теми "Non-Intrusive methods"

Автор: Grafiati

Опубліковано: 13 квітня 2024

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Статті в журналах з теми "Non-Intrusive methods"

Patil, Pooja R., and Subhash S. Kulkarni. "Survey of non-intrusive face spoof detection methods." Multimedia Tools and Applications 80, no. 10 (January 28, 2021): 14693–721. http://dx.doi.org/10.1007/s11042-020-10338-1.

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Nava, Martha X., Víctor H. Castillo, and Isabel M. Gómez. "Estimation of cognitive stress through the use of non-intrusive methods." Avances en Interacción Humano-Computadora, no. 1 (November 30, 2020): 94. http://dx.doi.org/10.47756/aihc.y5i1.73.

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Cerebral palsy (CP) is the most common cause of motor impairment in children and has increased globally. This health problem negatively impacts the quality of a patient's life and the people in their care. The literature reports the use of technological tools developed to support patients' rehabilitation; however, these are intrusive, so they are annoying and can generate stress. This work aims to analyze the existing developments regarding cognitive stress estimation through non-intrusive methods. This study identifies a few developments focused on rehabilitating children with CP by analyzing facial expressions with non-intrusive methods. From the above, the authors propose future lines of work that would eventually support patients with CP.

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Moruzzi, Rodrigo B., Pedro Grava da Silva, Soroosh Sharifi, Luiza C. Campos, and John Gregory. "Strength assessment of Al-Humic and Al-Kaolin aggregates by intrusive and non-intrusive methods." Separation and Purification Technology 217 (June 2019): 265–73. http://dx.doi.org/10.1016/j.seppur.2019.02.033.

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Wahlsten, Markus, and Jan Nordström. "On Stochastic Investigation of Flow Problems Using the Viscous Burgers’ Equation as an Example." Journal of Scientific Computing 81, no. 2 (September 23, 2019): 1111–17. http://dx.doi.org/10.1007/s10915-019-01053-7.

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Abstract We consider a stochastic analysis of non-linear viscous fluid flow problems with smooth and sharp gradients in stochastic space. As a representative example we consider the viscous Burgers’ equation and compare two typical intrusive and non-intrusive uncertainty quantification methods. The specific intrusive approach uses a combination of polynomial chaos and stochastic Galerkin projection. The specific non-intrusive method uses numerical integration by combining quadrature rules and the probability density functions of the prescribed uncertainties. The two methods are compared in terms of error in the estimated variance, computational efficiency and accuracy. This comparison, although not general, provide insight into uncertainty quantification of problems with a combination of sharp and smooth variations in stochastic space. It suggests that combining intrusive and non-intrusive methods could be advantageous.

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Leblond, J., and D. Stepowski. "SOME NON-INTRUSIVE METHODS FOR DIAGNOSIS IN TWO-PHASE FLOWS." Multiphase Science and Technology 8, no. 1-4 (1994): 715–82. http://dx.doi.org/10.1615/multscientechn.v8.i1-4.130.

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Zhang, Wei, Bowen Yuan, Zhenyu Ma, and Qingling Lu. "Research on Non Intrusive Methods for Dynamic Monitoring of Software." IOP Conference Series: Materials Science and Engineering 466 (December 28, 2018): 012052. http://dx.doi.org/10.1088/1757-899x/466/1/012052.

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Nguyen, Thanh Hoai, та Kyoungsik Chang. "Comparison of the Point-Collocation Non-Intrusive Polynomial (NIPC) and Non-Intrusive Spectral Projection (NISP) Methods for the γ-Rθ Transition Model". Applied Sciences 9, № 7 (3 квітня 2019): 1407. http://dx.doi.org/10.3390/app9071407.

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In the present work, a comparative study of two major non-intrusive polynomial chaos methods, Point-Collocation Non-Intrusive Polynomial Chaos (NIPC) and Non-Intrusive Spectral Projection (NISP), was conducted for the transitional transitional model. Three multiple model coefficients, Ca2, Ce1, and Ce2 were considered with multiple random inputs with the assumption of uniform distributions with ±10% deviation. The target transitional flows were one around a flat plate and Aerospatiale A-airfoil. Deterministic solutions were obtained by employing the open source software OpenFOAM. The results of two methods were compared to the results of Monte Carlo simulation with 500 runs. The order convergence of the mean value and the standard deviation (STD) were compared in terms of the quantities of interest, drag and lift coefficients. Further, the most effective model coefficient for each transitional flow could be found through the calculation of the Sobol index.

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Poette, Christopher, and Philippe Reynier. "Evaluation of 3D Mapping Experimental Non-Intrusive Methods for Multiphase Flows." International Journal of Multiphysics 8, no. 1 (March 2014): 69–90. http://dx.doi.org/10.1260/1750-9548.8.1.69.

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Jeong, D. U. "S45.C Non-intrusive methods for biological signal monitoring during sleep." Sleep Medicine 8 (February 2007): S42. http://dx.doi.org/10.1016/s1389-9457(07)70169-7.

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Etezadifar, Mozaffar, Houshang Karimi, and Jean Mahseredjian. "Non-intrusive load monitoring: Comparative analysis of transient state clustering methods." Electric Power Systems Research 223 (October 2023): 109644. http://dx.doi.org/10.1016/j.epsr.2023.109644.

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Дисертації з теми "Non-Intrusive methods"

Remscrim, Zachary (Zachary N. ). "Mathematical methods for non-intrusive load monitoring." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/61617.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 195-197).
The calculation of the Discrete Fourier Transform (DFT) of a discrete time signal is a fundamental problem in discrete-time signal processing. This thesis presents algorithms that use methods from number theory and algebra to exploit additional constraints about a signal to aid in the calculation of its DFT. First, an algorithm is presented that estimates the DFT of an unquantized signal given only a quantized version of that signal. Second, an algorithm to estimate the value of one subset of DFT coefficients from knowledge of another subset of DFT coefficients, for an appropriately constrained class of waveforms, is presented and analyzed. Thirdly, an algorithm to classify electrical loads on the basis of a subset of the DFT coefficients of load current is demonstrated. Finally, an embedded system that calculates DFT coefficients of measured current and makes this information available in convenient forms is considered.
by Zachary Remscrim.
M.Eng.

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Schantz, Christopher James. "Methods for non-intrusive sensing and system monitoring." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/92173.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2014.
Cataloged from PDF version of thesis.
Includes bibliographical references.
Improving the efficiency of collection, transmission, and consumption of resources is the focus of a wide swath of engineering research. Current technological solutions for capturing or mitigating energy and resource waste are asymmetrical. A dilemma is becoming increasingly apparent in monitoring and control systems. Networking tools provide potentially inexpensive remote access to information, but gathering useful information, however, may require the installation of an array of costly and intrusive sensors. The promise of highly effective and useful networked solutions is hemmed in by a sensing frontier consisting of significant challenges. At any time in the service life of a machine or system it may perform below its design efficiency. Valves may leak, belts might slip, and equipment may be left on when not needed. Systems under feedback control like HVAC plants will mask the effect of incipient faults from the user by increasing their duty cycle and wasting energy. Water distribution networks will supply healthy and leaky loads alike without obvious change save in perhaps a monthly bill delivered in the mail. To meet these challenges, this thesis uses easily installed non-intrusive sensors coupled with advanced signal processing algorithms to provide a collated corrected picture of consumption and to provide opportunities for fault detection. Specific contributions are made in three areas: Electric motor driven machine fault detection; a motor like an induction machine can serve as its own fine resolution speed and torque sensor with performance to rival optical shaft encoders and exceeding most torque sensors, all from simple voltage and current signals. Full time fluid flow and hydraulic load tracking from clamp on vibration and magnetic field sensing. Non intrusive techniques for capturing vibration data for rotating machine fault detection, and methods to combine electrical and vibration information to create virtual inputs for performing output only or single sensor system identification.
by Christopher James Schantz.
Ph. D.

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Peric, Vedran. "Non-intrusive Methods for Mode Estimation in Power Systems using Synchrophasors." Doctoral thesis, KTH, Elkraftteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-182134.

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Real-time monitoring of electromechanical oscillations is of great significance for power system operators; to this aim, software solutions (algorithms) that use synchrophasor measurements have been developed for this purpose. This thesis investigates different approaches for improving mode estimation process by offering new methods and deepening the understanding of different stages in the mode estimation process. One of the problems tackled in this thesis is the selection of synchrophasor signals used as the input for mode estimation. The proposed selection is performed using a quantitative criterion that is based on the variance of the critical mode estimate. The proposed criterion and associated selection method, offer a systematic and quantitative approach for PMU signal selection. The thesis also analyzes methods for model order selection used in mode estimation. Further, negative effects of forced oscillations and non-white noise load random changes on mode estimation results have been addressed by exploiting the intrinsic power system property that the characteristics of electromechanical modes are predominately determined by the power generation and transmission network. An improved accuracy of the mode estimation process can be obtained by intentionally injecting a probing disturbance. The thesis presents an optimization method that finds the optimal spectrum of the probing signals. In addition, the probing signal with the optimal spectrum is generated considering arbitrary time domain signal constraints that can be imposed by various probing signal generating devices. Finally, the thesis provides a comprehensive description of a practical implementation of a real-time mode estimation tool. This includes description of the hardware, software architecture, graphical user interface, as well as details of the most important components such as the Statnett’s SDK that allows easy access to synchrophasor data streams.

The Doctoral Degrees issued upon completion of the programme are issued by Comillas Pontifical University, Delft University of Technology and KTH Royal Institute of Technology. The invested degrees are official in Spain, the Netherlands and Sweden, respectively.

QC 20160218

FP7 iTesla

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Biezemans, Rutger. "Multiscale methods : non-intrusive implementation, advection-dominated problems and related topics." Electronic Thesis or Diss., Marne-la-vallée, ENPC, 2023. http://www.theses.fr/2023ENPC0029.

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Cette thèse porte sur les méthodes numériques pour les équations aux dérivées partielles (EDP) multi-échelles, et en particulier sur la méthode dite des éléments finis multi-échelles (MsFEM). Celle-ci est une méthode de type éléments finis qui consiste en une approximation de Galerkin de l'EDP sur une base problème-dépendante. Trois difficultés particulières liées à cette méthode sont abordées dans cette thèse. Premièrement, puisque la MsFEM utilise une base problème-dépendante, la méthode ne peut être facilement implémentée dans des codes industriels génériques. Cela freine la diffusion de la MsFEM au-delà des environnements académiques. Une méthodologie générique est proposée pour convertir la MsFEM en un problème effectif qui peut être résolu par des codes génériques. Il est démontré par des résultats théoriques ainsi que des expériences numériques que la nouvelle méthodologie est aussi précise que la MsFEM originale. Deuxièmement, les MsFEM adaptées aux problèmes advection-dominés sont étudiées. Ce régime spécifique rend instables les discrétisations naïves. Une explication est trouvée pour l'instabilité de certaines méthodes proposées précédemment. Des expériences numériques montrent la stabilité d'une MsFEM avec des conditions aux limites de type Crouzeix-Raviart enrichie par des fonctions bulles. Troisièmement, une nouvelle analyse de convergence pour la MsFEM est présentée, permettant pour la première fois d'établir la convergence sous des hypothèses de régularité minimales. Cette démarche est importante pour réduire l'écart entre la théorie pour la MsFEM et son application en pratique, où les hypothèses de régularité habituelles sont rarement satisfaites
This thesis is concerned with computational methods for multiscale partial differential equations (PDEs), and in particular the multiscale finite element method (MsFEM). This is a finite element type method that performs a Galerkin approximation of the PDE on a problem-dependent basis. Three particular difficulties related to the method are addressed in this thesis. First, the intrusiveness of the MsFEM is considered. Since the MsFEM uses a problem-dependent basis, it cannot easily be implemented in generic industrial codes and this hinders its adoption beyond academic environments. A generic methodology is proposed that translates the MsFEM into an effective problem that can be solved by generic codes. It is shown by theoretical convergence estimates and numerical experiments that the new methodology is as accurate as the original MsFEM. Second, MsFEMs for advection-dominated problems are studied. These problems cause additional instabilities for naive discretizations. An explanation is found for the instability of previously proposed methods. Numerical experiments show the stability of an MsFEM with Crouzeix-Raviart type boundary conditions enriched with bubble functions. Third, a new convergence analysis for the MsFEM is presented that, for the first time, establishes convergence under minimal regularity hypotheses. This bridges an important gap between the theoretical understanding of the method and its field of application, where the usual regularity hypotheses are rarely satisfied

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Cannermo, Trine P. W. "Non-Intrusive Methods for Documentating Upholstery : five ways to approach an intriguing conundrum." Thesis, Linköpings universitet, Carl Malmsten - furniture studies, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-113566.

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During my internship at the Upholstery conservation department at the Metropolitan Museum of art in New York, I came across a chair that caught my interest and therefore I chose to dedicate the last two months of my internship, investigating this chair. It was said about the chair that it had the original upholstery and cover, but some questions appeared. These questions I have tried to solve, as I will reveal in the following, by using mostly non-intrusive methods, in attempt to see how much useful information this approach can provide, concerning frame structure, inner-upholstery, showcover and possible campaigns (interventions). I found out, that it was possible to gather a great amount of useful information. In fact I will go so far as to claim that I found out even more than I would have found out, by isassembling the object manually.

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Parson, Oliver. "Unsupervised training methods for non-intrusive appliance load monitoring from smart meter data." Thesis, University of Southampton, 2014. https://eprints.soton.ac.uk/364263/.

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Non-intrusive appliance load monitoring (NIALM) is the process of disaggregating a household’s total electricity consumption into its contributing appliances. Smart meters are currently being deployed on national scales, providing a platform to collect aggregate household electricity consumption data. Existing approaches to NIALM require a manual training phase in which either sub-metered appliance data is collected or appliance usage is manually labelled. This training data is used to build models of the house- hold appliances, which are subsequently used to disaggregate the household’s electricity data. Due to the requirement of such a training phase, existing approaches do not scale automatically to the national scales of smart meter data currently being collected. In this thesis we propose an unsupervised training method which, unlike existing approaches, does not require a manual training phase. Instead, our approach combines general appliance knowledge with just aggregate smart meter data from the household to perform disaggregation. To do so, we address the following three problems: (i) how to generalise the behaviour of multiple appliances of the same type, (ii) how to tune general knowledge of appliances to the specific appliances within a single household using only smart meter data, and (iii) how to provide actionable energy saving advice based on the tuned appliance knowledge. First, we propose an approach to the appliance generalisation problem, which uses the Tracebase data set to build probabilistic models of household appliances. We take a Bayesian approach to modelling appliances using hidden Markov models, and empirically evaluate the extent to which they generalise to previously unseen appliances through cross validation. We show that learning using multiple appliances vastly outperforms learning from a single appliance by 61–99% when attempting to generalise to a previously unseen appliance, and furthermore that such general models can be learned from only 2–6 appliances. Second, we propose an unsupervised solution to the model tuning problem, which uses only smart meter data to learn the behaviour of the specific appliances in a given house-hold. Our approach uses general appliance models to extract appliance signatures from a household’s smart meter data, which are then used to refine the general appliance models. We evaluate the benefit of this process using the Reference Energy Disaggregation Data set, and show that the tuned appliance models more accurately represent the energy consumption behaviour of a given household’s appliances compared to when general appliance models are used, and furthermore that such general models can per- form comparably to when sub-metered data is used for model training. We also show that our tuning approach outperforms the current state of the art, which uses a factorial hidden Markov model to tune the general appliance models. Third, we apply both of these approaches to infer the energy efficiency of refrigerators and freezers in a data set of 117 households. We evaluate the accuracy of our approach, and show that it is able to successfully infer the energy efficiency of combined fridge freezers. We then propose an extension to our model tuning process using factorial hidden semi-Markov models to model households with a separate fridge and freezer. Finally, we show that through this extension our approach is able to simultaneously tune the appliance models of both appliances. The above contributions provide a solution which satisfies the requirements of a NIALM training method which is both unsupervised (no manual interaction required during training) and uses only smart meter data (no installation of additional hardware is required). When combined, the contributions presented in this thesis represent an advancement in the state of the art in the field of non-intrusive appliance load monitoring, and a step towards increasing the efficiency of energy consumption within households.

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Pickering, Todd Michael. "Methods for Validation of a Turbomachinery Rotor Blade Tip Timing System." Thesis, Virginia Tech, 2014. http://hdl.handle.net/10919/47496.

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This research developed two innovative test methods that were used to experimentally evaluate the performance of a novel blade tip timing (BTT) system from Prime Photonics, LC. The research focused on creating known blade tip offsets and tip vibrations so that the results from a BTT system can be validated. The topic of validation is important to the BTT field as the results between many commercial systems still are not consistent. While the system that was tested is still in development and final validation is not complete, the blade tip offset and vibration frequency validation results show that this BTT system will be a valuable addition to turbomachinery research and development programs once completed. For the first test method custom rotors were created with specified blade tip offsets. For the blade tip offset alternate measurement, the rotors were optically scanned and analyzed in CAD software with a tip location uncertainty of 0.1 mm. The BTT system agreed with the scanned results to within 0.13 mm. Tests were also conducted to ensure that the BTT system identified and indexed the blades properly. The second developed test method used an instrumented piezoelectric blade to create known dynamic deflections. The active vibration rotor was able to create measureable deflection over a range of frequencies centered on the first bending mode of the blade. The results for the 110 Hz, 150 Hz, 180 Hz first bending resonance, 200 Hz, and 1036 Hz second bending resonance cases are presented. A strain gage and piezoelectric sensor were attached to the active blade during the dynamic deflection tests to provide an alternate method for determining blade vibration frequency. The BTT system correctly identified the active blade excitation frequencies as well as a 120 Hz frequency from the drive motor. This thesis also explored applying BTT methods and testing to more realistic blade geometry and vibration. Blade vibrations are usually classified by their frequency relative to the rotation speed. Synchronous vibrations are integer multiples of the rotational speed and are often excited by struts or vanes fixed to the engine case. For this reason, special probe placement algorithms were explored that use sine curve fitting to optimize the probe placement. Knowing how the blade will vibrate at operation before testing is critical as well. In preparation for future research, ANSYS Mechanical was used to predict the first three modes of a PT6A-28 first stage rotor blade at 1,966, 5,539, and 7,144 Hz. These frequencies were validated to within 4% using scanning laser vibrometry. The simulation was repeated at speed to produce a Campbell Diagram to highlight synchronous excitation crossings.
Master of Science

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Papaioannou, Iason [Verfasser], Ernst Akademischer Betreuer] Rank, Daniel [Akademischer Betreuer] Straub, and Manolis [Akademischer Betreuer] [Papadrakakis. "Non-intrusive finite element reliability analysis methods / Iason Papaioannou. Gutachter: Daniel Straub ; Ernst Rank ; Manolis Papadrakakis. Betreuer: Ernst Rank." München : Universitätsbibliothek der TU München, 2012. http://d-nb.info/1024161439/34.

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Stewart, Ian. "Experimental verification and comparison of non-intrusive methods for detecting laminar-turbulent transition on a natural laminar flow axisymmetric body." Thesis, University of Southampton, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.245394.

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Nunez, Ramirez Jorge. "A multi time-step partitioned approach for the coupling of SPH and FE methods for nonlinear FSI problems." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSEI040/document.

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Dans le cadre de ce travail, une technique non-intrusive est proposée pour coupler la méthode Smoothed Particle Hydrodynamics (SPH) à la méthode des Eléments Finis aﬁn de résoudre numériquement des problèmes dynamiques et non-linéaires d’interaction ﬂuide-structure en permettant l’utilisation des pas de temps différents dans les deux domaines de calcul (ﬂuide et solide). Ces développements sont motivés par le besoin de simuler numériquement des phénomènes rapides et très non-linéaires qui prennent en compte des impacts en se servant des intégrateurs temporels explicites dans chaque sous-domaine de calcul (Newmark explicite pour le solide et Runge-Kutta 2 pour le ﬂuide). De ce fait, le pas de temps de stabilité est limité par des caractéristiques intrinsèques au modèle numérique du phénomène étudié et en conséquence, il devient important de pouvoir intégrer chaque sous-domaine numérique avec un pas de temps proche de son pas de temps de stabilité. Pour permettre d’utiliser un pas de temps proche du pas de temps de stabilité pour chaque sous-domaine, des méthodes de décomposition de domaines dual-Schur sont implémentées et validées pour des cas en 1-D, 2-D, et 3-D. Des simulations numériques d’impacts de cailloux sur des aubes des turbines hydrauliques sont aussi effectue´es aﬁn de prédire le dommage que cet évènement peut engendrer
A method to couple smoothed particle hydrodynamics and finite elements methods for nonlinear transient fluid–structure interaction simulations by adopting different time-steps depending on the fluid or solid sub-domains is proposed. These developments were motivated by the need to simulate highly non-linear and sudden phenomena that take into acount solid impacts and hence require the use of explicit time integrators on both sub-domains (explicit Newmark for the solid and Runge–Kutta 2 for the fluid). However, due to critical time-step required for the stability of the explicit time integrators in, it becomes important to be able to integrate each sub-domain with a different time-step while respecting the features that a previously developed mono time-step coupling algorithm offered. For this matter, a dual-Schur decomposition method originally proposed for structural dynamics was considered, allowing to couple time integrators of the Newmark family with different time-steps with the use of Lagrange multipliers

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Книги з теми "Non-Intrusive methods"

1933-, Rosenberger F., and United States. National Aeronautics and Space Administration., eds. A proposed non-intrusive method for finding coefficients of slip and molecular reflectivity in microgravity. [Washington, DC: National Aeronautics and Space Administration, 1989.

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A proposed non-intrusive method for finding coefficients of slip and molecular reflectivity in microgravity. [Washington, DC: National Aeronautics and Space Administration, 1989.

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Liberto, Hallie. Chemical Castration and the Violation of Sexual Rights. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198758617.003.0011.

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This chapter provides a philosophical analysis of the use of chemical castration as a treatment or punishment for aggravated sexual crimes. Its aim is to strip chemical castration of its various associated problems (like its history, exemplified by the Turing case). Even its philosophical analysis is limited in scope, simply attempting to answer the question: Is the use of chemical castration on perpetrators of aggravated sexual crimes a violation of their moral rights? The author concludes that there is not a compelling reason for thinking that the use of chemical castration in these circumstances is a rights violation. Certainly, the pertinent bodily rights do not belong to a category that is non-forfeitable—as might have been supposed, just because chemical castration affects people sexually. Furthermore, it is not easy to explain why the method by which chemical castration changes an individual’s desires is more intrusive or morally problematic than the ways that many stimuli might change our desires.

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Частини книг з теми "Non-Intrusive methods"

Sullivan, T. J. "Non-Intrusive Methods." In Texts in Applied Mathematics, 277–94. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23395-6_13.

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Le Maître, O. P., and O. M. Knio. "Non-intrusive Methods." In Scientific Computation, 45–72. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-3520-2_3.

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Schöps, Sebastian, David J. Duque Guerra, Herbert De Gersem, Andreas Bartel, Michael Günther, and Roland Pulch. "Non-Intrusive Methods for the Cosimulation of Coupled Problems." In Mathematics in Industry, 131–59. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30726-4_7.

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Liu, Hui, Chengming Yu, and Haiping Wu. "Smart Non-intrusive Device Recognition Based on Physical Methods." In Smart Device Recognition, 45–79. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-33-4925-4_2.

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Liu, Hui, Chengming Yu, and Haiping Wu. "Smart Non-intrusive Device Recognition Based on Ensemble Methods." In Smart Device Recognition, 193–227. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-33-4925-4_7.

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Salehi, Saeed, Mehrdad Raisee, Michel J. Cervantes, and Ahmad Nourbakhsh. "Development of an Efficient Multifidelity Non-intrusive Uncertainty Quantification Method." In Computational Methods in Applied Sciences, 483–97. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89890-2_31.

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Liszewski, Krzysztof, Robert Łukaszewski, Ryszard Kowalik, Łukasz Nogal, and Wiesław Winiecki. "Different appliance identification methods in non-intrusive appliance load monitoring." In Advanced Data Acquisition and Intelligent Data Processing, 31–57. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003337027-3.

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Liu, Hui, Chengming Yu, and Haiping Wu. "Smart Non-intrusive Device Recognition Based on Intelligent Clustering Methods." In Smart Device Recognition, 143–67. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-33-4925-4_5.

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Liu, Hui, Chengming Yu, and Haiping Wu. "Smart Non-intrusive Device Recognition Based on Intelligent Optimization Methods." In Smart Device Recognition, 169–92. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-33-4925-4_6.

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Liu, Hui, Chengming Yu, and Haiping Wu. "Smart Non-intrusive Device Recognition Based on Deep Learning Methods." In Smart Device Recognition, 229–58. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-33-4925-4_8.

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Тези доповідей конференцій з теми "Non-Intrusive methods"

Sakalkar, Varun, and Prabhat Hajela. "Approximations for Reliability Estimation in Multiscale Composites: Intrusive and Non-Intrusive methods." In 13th AIAA/ISSMO Multidisciplinary Analysis Optimization Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2010. http://dx.doi.org/10.2514/6.2010-9084.

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Sabzi, Sajad, Yousef Abbaspour-Gilandeh, and Juan Ignacio Arribas. "Non-intrusive image processing Thompson orange grading methods." In 2017 56th FITCE Congress. IEEE, 2017. http://dx.doi.org/10.1109/fitce.2017.8093004.

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Oliveira, Licinio, Jaime S. Cardoso, Andre Lourenco, and Christer Ahlstrom. "Driver drowsiness detection: a comparison between intrusive and non-intrusive signal acquisition methods." In 2018 7th European Workshop on Visual Information Processing (EUVIP). IEEE, 2018. http://dx.doi.org/10.1109/euvip.2018.8611704.

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Sebastian, D., V. A. Manjusha, and R. Anto. "Energy management of induction motors using non-intrusive methods." In 2013 International Conference on Power, Energy and Control (ICPEC). IEEE, 2013. http://dx.doi.org/10.1109/icpec.2013.6527758.

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Vlasova, Anastasiia V., Aleksandr Y. Shkanaev, and Dmitry L. Sholomov. "Methods for non-intrusive out-of-distribution images detection." In Sixteenth International Conference on Machine Vision (ICMV 2023), edited by Wolfgang Osten. SPIE, 2024. http://dx.doi.org/10.1117/12.3023403.

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Dhopeshawar, R., H. Bansal, K. Veroy, H. Shi, and D. Giuntini. "Non-Intrusive Model Order Reduction for Sintering Applications." In 10th edition of the International Conference on Computational Methods for Coupled Problems in Science and Engineering. CIMNE, 2023. http://dx.doi.org/10.23967/c.coupled.2023.010.

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Demo, N., G. Rozza, and A. Ivagnes. "Non-intrusive Reduced Order Modeling to Accelerate Design and Optimization Processes." In 10th Conference on Computational Methods in Marine Engineering. CIMNE, 2023. http://dx.doi.org/10.23967/marine.2023.134.

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Shankaran, Sriram, Brian Barr, Ramakrishna Mallina, Ravikanth Avancha, and Alex Stein. "An Assessment of Non-Intrusive Probabilistic Methods for Turbomachinery Problems." In ASME Turbo Expo 2010: Power for Land, Sea, and Air. ASMEDC, 2010. http://dx.doi.org/10.1115/gt2010-22730.

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Анотація:

The ability to quantify the impact of uncertainty on performance is an important facet of engineering design. Computational Fluid Dynamics (CFD) studies during the design cycle typically utilize estimates of boundary conditions, geometry and model constants, all of which have uncertainty that could lead to variations in the estimated performance of the design. Traditionally, engineering environments have relied on Monte-Carlo (MC) simulations to obtain probabilistic estimates. But MC methods have poor convergence rate leading to prohibitive computational requirements when used in conjunction with medium to high fidelity computational tools. In this study, we will use an alternate probabilistic approach. We assume that the uncertainties in our computational system can be modeled as random variables with known/prescribed distributions, use CFD solvers to estimate the performance measures and then use a psuedo-spectral probabilistic collocation technique to determine regression/interpolation fits. The psuedo-spectral discrete expansion uses the orthogonal polynomials from the Askey-Wiener basis and finds the coefficients of the expansion [1]. We will restrict our attention to problems with one random variable and hence can without ambiguity choose the Gauss quadratures as the optimal choice to obtain statistical data (mean, variance, moments etc.) of the performance measures. The computational frame-work will be first validated against Monte-Carlo simulations to assess convergence of pdfs. It will then be used to assess the variability in compressor blade efficiency and turbine vane loss due to uncertainty in inflow conditions. The results will be used to answer the following questions. Do we need new probabilistic algorithms to quantify the impact of uncertainty? What is the optimal basis for standard performance metrics in turbomachinery? What are the computational and accuracy requirements of this probabilistic approach? Are there alternate (more efficient) techniques? We believe that the answers to the above questions will provide a quantitative basis to assess the usefulness of non-intrusive (and possibly intrusive) probabilistic methods to analyze variability in engineering designs.

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Legloanec, E., A. Sommier, A. Sempey, D. Lacanette, and JC Batsale. "Non - intrusive thermal measurement methods adapted to painted cave walls." In 2014 Quantitative InfraRed Thermography. QIRT Council, 2014. http://dx.doi.org/10.21611/qirt.2014.192.

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Mehmood, Asad, Intisar Ali Sajjad, Muhammad Naeem Ullah, Rehan Liaqat, Muhammad Zaigham Abbas, and Allah Wasaya. "Evaluation of Feature Selection Methods for Non-Intrusive Load Monitoring." In 2021 International Conference on Technology and Policy in Energy and Electric Power (ICT-PEP). IEEE, 2021. http://dx.doi.org/10.1109/ict-pep53949.2021.9601116.

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Звіти організацій з теми "Non-Intrusive methods"

Roberson, G. P., R. W. Ryon, and N. L. Bull. Characterization of mixed waste for sorting and inspection using non-intrusive methods. Office of Scientific and Technical Information (OSTI), December 1994. http://dx.doi.org/10.2172/71304.

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Abraham. L51687 Subsea Repair of Gas Pipelines without Water Flooding. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), August 1993. http://dx.doi.org/10.55274/r0010545.

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This study documents the state-of-the-art equipment and procedures available for use in isolating mid-line subsea pipeline repairs to prevent back-flooding. The study notes the lack of effective non-intrusive methods and the potential for cost savings when suitable methods are developed.

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Beshouri, Huschenbett, and Bothwell. PR-360-08207-R01 Cylinder Level Sensing and Control on Typical Pipeline Engines. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), February 2016. http://dx.doi.org/10.55274/r0010693.

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Further reductions in NOx emissions while maintaining optimum engine performance can only be obtained by improving engine combustion control at the cylinder level. This requires cylinder level sensors capable of continuously monitoring combustion performance in both the main combustion chamber (MCC) and the pre-combustion chamber (PCC) and electronically actuated valves that can respond to those measurements. Until recently, in-PCC combustion measurements on spark ignited engines were only possible in the laboratory using very expensive pressure sensors with extremely short lives. Ion Sense offers a non-intrusive, robust and cost effective method to monitor in-PCC combustion in the field on a continuous basis. Derived from automotive technology, ion sense utilizes post ignition ionization measurements from a standard spark plug. When measured from a spark plug mounted in a PCC Ion Sense provides a wealth of previously unavailable information on misfire, instability, flame initiation, early flame propagation, in PCC air/fuel ratio, etc. This work investigated the use of ion sense data collected in the PCC to monitor and control in PCC air/fuel ratio, main chamber air/fuel ratio and the timing of combustion events in both. This paper reports on the results of this testing as well as describing the optimization strategy developed which is applicable to the full range of pipeline engines.

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INEL cold test pit demonstration of improvements in information derived from non-intrusive geophysical methods over buried waste sites. Phase 2, Final report. Office of Scientific and Technical Information (OSTI), April 1994. http://dx.doi.org/10.2172/10147692.

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INEL cold test pit demonstration of improvements in information derived from non-intrusive geophysical methods over buried waste sites. Phase 1, Final report. Office of Scientific and Technical Information (OSTI), September 1993. http://dx.doi.org/10.2172/10177606.

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INEL cold test pit demonstration of improvements in information derived from non-intrusive geophysical methods over buried waste sites. Phase 2, Final report: Attachment. Office of Scientific and Technical Information (OSTI), May 1994. http://dx.doi.org/10.2172/10147696.

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