Literatura académica sobre el tema "Non-Intrusive methods"
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Artículos de revistas sobre el tema "Non-Intrusive methods"
Patil, Pooja R. y Subhash S. Kulkarni. "Survey of non-intrusive face spoof detection methods". Multimedia Tools and Applications 80, n.º 10 (28 de enero de 2021): 14693–721. http://dx.doi.org/10.1007/s11042-020-10338-1.
Texto completoNava, Martha X., Víctor H. Castillo y Isabel M. Gómez. "Estimation of cognitive stress through the use of non-intrusive methods". Avances en Interacción Humano-Computadora, n.º 1 (30 de noviembre de 2020): 94. http://dx.doi.org/10.47756/aihc.y5i1.73.
Texto completoMoruzzi, Rodrigo B., Pedro Grava da Silva, Soroosh Sharifi, Luiza C. Campos y John Gregory. "Strength assessment of Al-Humic and Al-Kaolin aggregates by intrusive and non-intrusive methods". Separation and Purification Technology 217 (junio de 2019): 265–73. http://dx.doi.org/10.1016/j.seppur.2019.02.033.
Texto completoWahlsten, Markus y Jan Nordström. "On Stochastic Investigation of Flow Problems Using the Viscous Burgers’ Equation as an Example". Journal of Scientific Computing 81, n.º 2 (23 de septiembre de 2019): 1111–17. http://dx.doi.org/10.1007/s10915-019-01053-7.
Texto completoLeblond, J. y D. Stepowski. "SOME NON-INTRUSIVE METHODS FOR DIAGNOSIS IN TWO-PHASE FLOWS". Multiphase Science and Technology 8, n.º 1-4 (1994): 715–82. http://dx.doi.org/10.1615/multscientechn.v8.i1-4.130.
Texto completoZhang, Wei, Bowen Yuan, Zhenyu Ma y Qingling Lu. "Research on Non Intrusive Methods for Dynamic Monitoring of Software". IOP Conference Series: Materials Science and Engineering 466 (28 de diciembre de 2018): 012052. http://dx.doi.org/10.1088/1757-899x/466/1/012052.
Texto completoNguyen, Thanh Hoai y 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, n.º 7 (3 de abril de 2019): 1407. http://dx.doi.org/10.3390/app9071407.
Texto completoPoette, Christopher y Philippe Reynier. "Evaluation of 3D Mapping Experimental Non-Intrusive Methods for Multiphase Flows". International Journal of Multiphysics 8, n.º 1 (marzo de 2014): 69–90. http://dx.doi.org/10.1260/1750-9548.8.1.69.
Texto completoJeong, D. U. "S45.C Non-intrusive methods for biological signal monitoring during sleep". Sleep Medicine 8 (febrero de 2007): S42. http://dx.doi.org/10.1016/s1389-9457(07)70169-7.
Texto completoEtezadifar, Mozaffar, Houshang Karimi y Jean Mahseredjian. "Non-intrusive load monitoring: Comparative analysis of transient state clustering methods". Electric Power Systems Research 223 (octubre de 2023): 109644. http://dx.doi.org/10.1016/j.epsr.2023.109644.
Texto completoTesis sobre el tema "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.
Texto completoCataloged 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.
Schantz, Christopher James. "Methods for non-intrusive sensing and system monitoring". Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/92173.
Texto completoCataloged 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.
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.
Texto completoThe 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
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.
Texto completoThis 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
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.
Texto completoParson, 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/.
Texto completoPickering, Todd Michael. "Methods for Validation of a Turbomachinery Rotor Blade Tip Timing System". Thesis, Virginia Tech, 2014. http://hdl.handle.net/10919/47496.
Texto completoMaster of Science
Papaioannou, Iason [Verfasser], Ernst Akademischer Betreuer] Rank, Daniel [Akademischer Betreuer] Straub y 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.
Texto completoStewart, 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.
Texto completoNunez, 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.
Texto completoA 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
Libros sobre el tema "Non-Intrusive methods"
1933-, Rosenberger F. y 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.
Buscar texto completoA proposed non-intrusive method for finding coefficients of slip and molecular reflectivity in microgravity. [Washington, DC: National Aeronautics and Space Administration, 1989.
Buscar texto completoLiberto, Hallie. Chemical Castration and the Violation of Sexual Rights. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198758617.003.0011.
Texto completoCapítulos de libros sobre el tema "Non-Intrusive methods"
Sullivan, T. J. "Non-Intrusive Methods". En Texts in Applied Mathematics, 277–94. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23395-6_13.
Texto completoLe Maître, O. P. y O. M. Knio. "Non-intrusive Methods". En Scientific Computation, 45–72. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-3520-2_3.
Texto completoSchöps, Sebastian, David J. Duque Guerra, Herbert De Gersem, Andreas Bartel, Michael Günther y Roland Pulch. "Non-Intrusive Methods for the Cosimulation of Coupled Problems". En Mathematics in Industry, 131–59. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30726-4_7.
Texto completoLiu, Hui, Chengming Yu y Haiping Wu. "Smart Non-intrusive Device Recognition Based on Physical Methods". En Smart Device Recognition, 45–79. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-33-4925-4_2.
Texto completoLiu, Hui, Chengming Yu y Haiping Wu. "Smart Non-intrusive Device Recognition Based on Ensemble Methods". En Smart Device Recognition, 193–227. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-33-4925-4_7.
Texto completoSalehi, Saeed, Mehrdad Raisee, Michel J. Cervantes y Ahmad Nourbakhsh. "Development of an Efficient Multifidelity Non-intrusive Uncertainty Quantification Method". En Computational Methods in Applied Sciences, 483–97. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89890-2_31.
Texto completoLiszewski, Krzysztof, Robert Łukaszewski, Ryszard Kowalik, Łukasz Nogal y Wiesław Winiecki. "Different appliance identification methods in non-intrusive appliance load monitoring". En Advanced Data Acquisition and Intelligent Data Processing, 31–57. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003337027-3.
Texto completoLiu, Hui, Chengming Yu y Haiping Wu. "Smart Non-intrusive Device Recognition Based on Intelligent Clustering Methods". En Smart Device Recognition, 143–67. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-33-4925-4_5.
Texto completoLiu, Hui, Chengming Yu y Haiping Wu. "Smart Non-intrusive Device Recognition Based on Intelligent Optimization Methods". En Smart Device Recognition, 169–92. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-33-4925-4_6.
Texto completoLiu, Hui, Chengming Yu y Haiping Wu. "Smart Non-intrusive Device Recognition Based on Deep Learning Methods". En Smart Device Recognition, 229–58. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-33-4925-4_8.
Texto completoActas de conferencias sobre el tema "Non-Intrusive methods"
Sakalkar, Varun y Prabhat Hajela. "Approximations for Reliability Estimation in Multiscale Composites: Intrusive and Non-Intrusive methods". En 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.
Texto completoSabzi, Sajad, Yousef Abbaspour-Gilandeh y Juan Ignacio Arribas. "Non-intrusive image processing Thompson orange grading methods". En 2017 56th FITCE Congress. IEEE, 2017. http://dx.doi.org/10.1109/fitce.2017.8093004.
Texto completoOliveira, Licinio, Jaime S. Cardoso, Andre Lourenco y Christer Ahlstrom. "Driver drowsiness detection: a comparison between intrusive and non-intrusive signal acquisition methods". En 2018 7th European Workshop on Visual Information Processing (EUVIP). IEEE, 2018. http://dx.doi.org/10.1109/euvip.2018.8611704.
Texto completoSebastian, D., V. A. Manjusha y R. Anto. "Energy management of induction motors using non-intrusive methods". En 2013 International Conference on Power, Energy and Control (ICPEC). IEEE, 2013. http://dx.doi.org/10.1109/icpec.2013.6527758.
Texto completoVlasova, Anastasiia V., Aleksandr Y. Shkanaev y Dmitry L. Sholomov. "Methods for non-intrusive out-of-distribution images detection". En Sixteenth International Conference on Machine Vision (ICMV 2023), editado por Wolfgang Osten. SPIE, 2024. http://dx.doi.org/10.1117/12.3023403.
Texto completoDhopeshawar, R., H. Bansal, K. Veroy, H. Shi y D. Giuntini. "Non-Intrusive Model Order Reduction for Sintering Applications". En 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.
Texto completoDemo, N., G. Rozza y A. Ivagnes. "Non-intrusive Reduced Order Modeling to Accelerate Design and Optimization Processes". En 10th Conference on Computational Methods in Marine Engineering. CIMNE, 2023. http://dx.doi.org/10.23967/marine.2023.134.
Texto completoShankaran, Sriram, Brian Barr, Ramakrishna Mallina, Ravikanth Avancha y Alex Stein. "An Assessment of Non-Intrusive Probabilistic Methods for Turbomachinery Problems". En ASME Turbo Expo 2010: Power for Land, Sea, and Air. ASMEDC, 2010. http://dx.doi.org/10.1115/gt2010-22730.
Texto completoLegloanec, E., A. Sommier, A. Sempey, D. Lacanette y JC Batsale. "Non - intrusive thermal measurement methods adapted to painted cave walls". En 2014 Quantitative InfraRed Thermography. QIRT Council, 2014. http://dx.doi.org/10.21611/qirt.2014.192.
Texto completoMehmood, Asad, Intisar Ali Sajjad, Muhammad Naeem Ullah, Rehan Liaqat, Muhammad Zaigham Abbas y Allah Wasaya. "Evaluation of Feature Selection Methods for Non-Intrusive Load Monitoring". En 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.
Texto completoInformes sobre el tema "Non-Intrusive methods"
Roberson, G. P., R. W. Ryon y N. L. Bull. Characterization of mixed waste for sorting and inspection using non-intrusive methods. Office of Scientific and Technical Information (OSTI), diciembre de 1994. http://dx.doi.org/10.2172/71304.
Texto completoAbraham. L51687 Subsea Repair of Gas Pipelines without Water Flooding. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), agosto de 1993. http://dx.doi.org/10.55274/r0010545.
Texto completoBeshouri, Huschenbett y Bothwell. PR-360-08207-R01 Cylinder Level Sensing and Control on Typical Pipeline Engines. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), febrero de 2016. http://dx.doi.org/10.55274/r0010693.
Texto completoINEL 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), abril de 1994. http://dx.doi.org/10.2172/10147692.
Texto completoINEL 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), septiembre de 1993. http://dx.doi.org/10.2172/10177606.
Texto completoINEL 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), mayo de 1994. http://dx.doi.org/10.2172/10147696.
Texto completo