Добірка наукової літератури з теми "Set-Based Methods"
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Статті в журналах з теми "Set-Based Methods":
Dubois, D., E. Hullermeier, and H. Prade. "Fuzzy set-based methods in instance-based reasoning." IEEE Transactions on Fuzzy Systems 10, no. 3 (June 2002): 322–32. http://dx.doi.org/10.1109/tfuzz.2002.1006435.
PAN, Qing, and Guo-Liang XU. "Metamorphosis Based on the Level-Set Methods." Chinese Journal of Computers 32, no. 2 (July 31, 2009): 213–20. http://dx.doi.org/10.3724/sp.j.1016.2009.00213.
Wang, Xu. "Methods to Set Threshold Based on MATLAB." Applied Mechanics and Materials 121-126 (October 2011): 954–59. http://dx.doi.org/10.4028/www.scientific.net/amm.121-126.954.
De-jun, Wang, Tang Yun, Yu Hong-chuan, and Tang Ze-sheng. "Level set methods based on distance function." Applied Mathematics and Mechanics 24, no. 8 (August 2003): 950–60. http://dx.doi.org/10.1007/bf02446501.
Su, Yu-Chen, William James Gauderman, Kiros Berhane, and Juan Pablo Lewinger. "Adaptive Set-Based Methods for Association Testing." Genetic Epidemiology 40, no. 2 (December 28, 2015): 113–22. http://dx.doi.org/10.1002/gepi.21950.
Dullen, Shawn, Dinesh Verma, Mark Blackburn, and Cliff Whitcomb. "Survey on set‐based design (SBD) quantitative methods." Systems Engineering 24, no. 5 (May 20, 2021): 269–92. http://dx.doi.org/10.1002/sys.21580.
Le Coënt, Adrien, Florian De Vuyst, Christian Rey, Ludovic Chamoin, and Laurent Fribourg. "Control of mechanical systems using set based methods." International Journal of Dynamics and Control 5, no. 3 (May 2, 2016): 496–512. http://dx.doi.org/10.1007/s40435-016-0245-y.
Liao, Guojun, Feng Liu, Gary C. de la Pena, Danping Peng, and Stanley Osher. "Level-Set-Based Deformation Methods for Adaptive Grids." Journal of Computational Physics 159, no. 1 (March 2000): 103–22. http://dx.doi.org/10.1006/jcph.2000.6432.
Hussein, A., H. A. Muttlak, and E. Al-Sawi. "Group sequential methods based on ranked set samples." Statistical Papers 54, no. 3 (April 17, 2012): 547–62. http://dx.doi.org/10.1007/s00362-012-0448-z.
ZHANG, Zhiqian, and Hirohisa NOGUCHI. "1108 Level set-based topology optimization with material heterogeneity using meshfree methods and dual discretizations." Proceedings of The Computational Mechanics Conference 2007.20 (2007): 687–88. http://dx.doi.org/10.1299/jsmecmd.2007.20.687.
Дисертації з теми "Set-Based Methods":
Stoican, Florin. "Fault tolerant control based on set-theoretic methods." Phd thesis, Supélec, 2011. http://tel.archives-ouvertes.fr/tel-00633622.
Xu, Feng. "Diagnosis and fault-tolerant control using set-based methods." Doctoral thesis, Universitat Politècnica de Catalunya, 2014. http://hdl.handle.net/10803/284831.
La capacidad de los sistemas para tolerar fallos es una importante especificación de desempeño para la mayoría de sistemas. Ejemplos que muestran su importancia son algunas catástrofes en aviación civil. De acuerdo a investigaciones oficiales, algunos incidentes aéreos son técnicamente evitables si los pilotos pudiesen tomar las medidas adecuadas. Aun así, basándose en las habilidades y experiencia de los pilotos, no se puede garantizar que decisiones de vuelo confiables serán siempre posible de tomar. En cambio, si estrategias de tolerancia a fallos se pudieran incluir en el proceso de toma de decisión, los vuelos serían mucho más seguros. El control tolerante a fallos es generalmente clasificado en control pasivo y activo. El control pasivo se basa en la robustez del controlador, el cual sólo provee una habilidad limitada de tolerancia a fallos, mientras que el control tolerante a fallos de tipo activo se convierte en un modulo de detección y aislamiento de fallos que permite obtener información de éstos, y luego, activamente, tomar acciones para tolerar el efecto de dichos fallos. Así pues, el control activo generalmente tiene habilidades más fuertes de tolerancia a fallos. Esta tesis se enfoca en control tolerante a fallos activo, para lo cual considera el control predictivo basado en modelos y la detección y aislamiento de fallos basados en conjuntos. El control predictivo basado en modelos es una estrategia de control exitosa en la industria de procesos y ha sido ampliamente utilizada para procesos químicos y tratamiento de aguas, debido a su habilidad de tratar con sistemas multivariables con restricciones. A pesar de esto, el desempeño del control predictivo basado en modelos tiene una profunda dependencia de la precisión del modelo del sistema. Siendo realistas, es imposible evitar el efecto de errores de modelado, perturbaciones, ruidos y fallos, que siempre llevan a diferencias entre el modelo y el sistema real. Comparativamente, el error de modelo inducido por los fallos es posible de ser manejado efectivamente por estrategias adecuadas de control tolerante a fallos. Con el fin de alcanzar este objetivo, métodos de detección y aislamiento de fallos basados en conjuntos son utilizados en los esquemas de tolerancia a fallos propuestos en esta tesis. La ventaja importante de estas técnicas de detección y aislamiento de fallos basadas en conjuntos es que puede tomar decisiones robustas de detección y aislamiento, lo cual es clave para tomar medidas acertadas de tolerancia a fallos. Esta tesis esta dividida en cuatro partes. La primera parte es introductoria, presenta el estado del arte y hace una introducción a las herramientas de investigación utilizadas. La segunda parte expone la detección y aislamiento de fallos en actuadores y/o sensores, basándose en teoría de conjuntos, a partir de observadores de intervalo, y conjuntos invariantes. La tercera parte se enfoca en el control predictivo robusto (con enfoques basados tanto en tubos robustos como en min-max) con tolerancia a fallos en actuadores y/o sensores. La cuarta parte presenta algunas conclusiones, hace un resumen de esta investigación y da algunas ideas para trabajos futuros.
Stankovic, Nikola. "Set-based control methods for systems affected by time-varying delay." Thesis, Supélec, 2013. http://www.theses.fr/2013SUPL0025/document.
We considered the process regulation which is based on feedback affected by varying delays. Proposed approach relies on set-based control methods. One part of the thesis examines active control design for compensation of delays in sensor-to controller communication channel. This problem is regarded in a general perspective of the fault tolerant control where delays are considered as a particular degradation mode of the sensor. Obtained results are also adapted to the systems with redundant sensing elements that are prone to abrupt faults. In this sense, an unified framework is proposed in order to address the control design with outdated measurements provided by unreliable sensors.Positive invariance for linear discrete-time systems with delays is outlined in the second part of the thesis. Concerning this class of dynamics, there are two main approaches which define positive invariance. The first one relies on rewriting a delay-difference equation in the augmented state-space and applying standard analysis and control design tools for the linear systems. The second approach considers invariance in the initial state-space. However, the initial state-space characterization is still an open problem even for the linear case and it represents our main subject of interest. As a contribution, we provide new insights on the existence of the positively invariant sets in the initial state-space. Moreover, a construction algorithm for the minimal robust D-invariant set is outlined. Additionally, alternative invariance concepts are discussed
Tariq, Muhammad Farzan. "Set-based design rules and implementation methods in concept development phase." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/118491.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (page 52).
There are numerous methodologies that organizations employ during concept development cycles. These range from agile, waterfall, point-based designs etc. One of the emerging such methodologies is called Set-Based Design (SBD). There has been flurry of research conducted into SBD process. Most of the documentations about SBD highlight its general principles and characteristics. In this thesis, I have taken a more focused approach by targeting planning and concept development phases in particular. Rules to select or deselect concepts have been extensively discussed in this research followed by providing an effective structure to implement SBD in concept development process. The form and function distinction during the concept development cycle has been clearly examined and documented. The research has been conducted independent of any organization or product type and therefore is applicable to any product development scenario and can be easily adopted by any organization.
by Muhammad Farzan Tariq.
S.M. in Engineering and Management
Léon, Cantón Plinio de. "Dependable control of uncertain linear systems based on set theoretic methods." Achen Shaker, 2009. http://d-nb.info/995737347/04.
譚玉貞 and Yuk-ching Tam. "Some practical issues in estimation based on a ranked set sample." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B31221683.
Kern, Benjamin Verfasser], and Rolf [Gutachter] [Findeisen. "Set-based methods for interconnected control systems / Benjamin Kern ; Gutachter: Rolf Findeisen." Magdeburg : Universitätsbibliothek Otto-von-Guericke-Universität, 2019. http://d-nb.info/1220036447/34.
Ullah, Baseer. "Structural topology optimisation based on the boundary element and level set methods." Thesis, Durham University, 2014. http://etheses.dur.ac.uk/10659/.
Kern, Benjamin [Verfasser], and Rolf [Gutachter] Findeisen. "Set-based methods for interconnected control systems / Benjamin Kern ; Gutachter: Rolf Findeisen." Magdeburg : Universitätsbibliothek Otto-von-Guericke-Universität, 2019. http://d-nb.info/1220036447/34.
Mulagaleti, Sampath Kumar. "Invariant Set-based Methods for the Computation of Input and Disturbance Sets." Thesis, IMT Alti Studi Lucca, 2023. http://e-theses.imtlucca.it/370/1/Mulagaleti_phdthesis.pdf.
Книги з теми "Set-Based Methods":
Burger, Martin, Andrea C. G. Mennucci, Stanley Osher, and Martin Rumpf. Level Set and PDE Based Reconstruction Methods in Imaging. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01712-9.
Vasil'eva, Natal'ya. Mathematical models in the management of copper production: ideas, methods, examples. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1014071.
Klimenko, Irina, Nikolay Kozlov, Sergey Kostenko, Anastasia Shamustakimova, and Yulian Mavlyutov. Identification and certification of forage grasses (meadow clover, alfalfa, sowing and hop) based on DNA markers. ru: Federal Williams Research Center of Forage Production and Agroecology, 2020. http://dx.doi.org/10.33814/978-5-6043194-9-9.
Balas, Andrea Karch. Ready, set, show what you know: Building skills for Ohio proficiency tests. Columbus, Ohio: Englefield & Arnold Pub., 2001.
Balas, Andrea Karch. Ready, set, show what you know: Building skills for Ohio proficiency tests. Columbus, Ohio: Englefield & Arnold Pub., 2000.
Balas, Andrea Karch. Ready, set, show what you know: Building skills for Ohio proficiency tests : student workbook. Columbus, Ohio: Englefield & Arnold Pub., 2000.
Balas, Andrea Karch. Ready, set, show what you know: Building skills for Ohio proficiency tests : student workbook. Columbus, Ohio: Englefield & Arnold Pub., 2001.
Cvetkov, Viktor. Basics of complexity theory. ru: INFRA-M Academic Publishing LLC., 2024. http://dx.doi.org/10.12737/2110856.
Polonina, Elena, Sergey Leonovich, Sergey Fedosov, and Valeriy Yaglov. Structural concrete with a complex addition of hydrothermal nanosilicon and carbon nanotubes. ru: INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1981690.
Knoll, Franz, and Thomas Vogel. Design for Robustness. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2009. http://dx.doi.org/10.2749/sed011.
Частини книг з теми "Set-Based Methods":
Mordeson, John N., Mark J. Wierman, Terry D. Clark, Alex Pham, and Michael A. Redmond. "Methods Based on Fuzzy Set Theory." In Linear Models in the Mathematics of Uncertainty, 163–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35224-9_10.
Struth, Georg. "A Calculus for Set-Based Program Development." In Formal Methods and Software Engineering, 541–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39893-6_31.
Läthén, Gunnar, Thord Andersson, Reiner Lenz, and Magnus Borga. "Momentum Based Optimization Methods for Level Set Segmentation." In Lecture Notes in Computer Science, 124–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02256-2_11.
Nguyen, Hung Son, and Sinh Hoa Nguyen. "Learning Rough Set Based Classifiers Using Boolean Kernels." In Advanced Computational Methods for Knowledge Engineering, 163–73. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-38364-0_15.
Toivanen, Jukka I. "An Automatic Differentiation Based Approach to the Level Set Method." In Computational Methods in Applied Sciences, 43–57. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23564-6_4.
Kobayashi, Takumi. "Generalized Mutual Subspace Based Methods for Image Set Classification." In Computer Vision – ACCV 2012, 578–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37331-2_44.
Rumpf, Martin. "Variational Methods in Image Matching and Motion Extraction." In Level Set and PDE Based Reconstruction Methods in Imaging, 143–204. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01712-9_3.
Sawatzky, Alex, Christoph Brune, Thomas Kösters, Frank Wübbeling, and Martin Burger. "EM-TV Methods for Inverse Problems with Poisson Noise." In Level Set and PDE Based Reconstruction Methods in Imaging, 71–142. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01712-9_2.
Xie, Xianghua, Si Yong Yeo, Majid Mirmehdi, Igor Sazonov, and Perumal Nithiarasu. "Image Gradient Based Level Set Methods in 2D and 3D." In Deformation Models, 101–20. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-5446-1_4.
Scheuermann, Björn, and Bodo Rosenhahn. "Analysis of Numerical Methods for Level Set Based Image Segmentation." In Advances in Visual Computing, 196–207. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10520-3_18.
Тези доповідей конференцій з теми "Set-Based Methods":
Lin, Juan K. "Approximate Inference based on Convex Set Sampling." In BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING: 23rd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering. AIP, 2004. http://dx.doi.org/10.1063/1.1751360.
Li, Yanlin, and Lihua Wei. "Rough set methods based on discernibility relationship in IIS." In 2009 IEEE International Conference on Granular Computing (GRC). IEEE, 2009. http://dx.doi.org/10.1109/grc.2009.5255103.
McGovern, Ryan, and Nikolaos Athanasopoulos. "Kinodynamic planning for robotic manipulators using set-based methods." In 2022 European Control Conference (ECC). IEEE, 2022. http://dx.doi.org/10.23919/ecc55457.2022.9838123.
Yamaguchi, Osamu, and Kazuhiro Fukui. "Image-set based Classification using Multiple Pseudo-whitened Mutual Subspace Method." In 11th International Conference on Pattern Recognition Applications and Methods. SCITEPRESS - Science and Technology Publications, 2022. http://dx.doi.org/10.5220/0010836500003122.
"A Fast Computation Method for IQA Metrics Based on their Typical Set." In International Conference on Pattern Recognition Applications and Methods. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004820301990206.
Paul, S., and P. Maji. "Rough set based gene selection algorithm for microarray sample classification." In 2010 International Conference on Methods and Models in Computer Science (ICM2CS 2010). IEEE, 2010. http://dx.doi.org/10.1109/icm2cs.2010.5706710.
Hao, Yuejia. "Speech-based Detection Machine Learning Methods on Parkinson Data Set." In 2023 IEEE 3rd International Conference on Electronic Technology, Communication and Information (ICETCI). IEEE, 2023. http://dx.doi.org/10.1109/icetci57876.2023.10176779.
Mamou, Jonathan, Oren Pereg, Moshe Wasserblat, Alon Eirew, Yael Green, Shira Guskin, Peter Izsak, and Daniel Korat. "Term Set Expansion based NLP Architect by Intel AI Lab." In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations. Stroudsburg, PA, USA: Association for Computational Linguistics, 2018. http://dx.doi.org/10.18653/v1/d18-2004.
Kołopieńczyk, Małgorzata, Alexander Barkalov, and Larysa Titarenko. "Synthesis of EMB - based Moore FSM with splitting set of logical conditions." In INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2015 (ICCMSE 2015). AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4938883.
Wei-ping Wang, Qi-zong Wu, Da-ju Xu, and Xiao-dong Hu. "Improved multi-criteria fuzzy decision-making methods based on vague set." In 2008 7th World Congress on Intelligent Control and Automation. IEEE, 2008. http://dx.doi.org/10.1109/wcica.2008.4594371.
Звіти організацій з теми "Set-Based Methods":
Vandevort, Daniel, Chandler Engel, Shaun Stanton, and Jeffrey Ellis. Application of limited-field-data methods in reservoir volume estimation : a case study. Engineer Research and Development Center (U.S.), March 2024. http://dx.doi.org/10.21079/11681/48268.
Desjardins and Sahney. PR-351-083602-R01 Field Demonstration of Reliability Based Guidelines for Pipeline Integrity. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), February 2011. http://dx.doi.org/10.55274/r0010786.
Mathew, Jijo K., Christopher M. Day, Howell Li, and Darcy M. Bullock. Curating Automatic Vehicle Location Data to Compare the Performance of Outlier Filtering Methods. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317435.
Ferrell, Christopher E., John M. Eells, David Reinke, and Richard Lee. Metropolitan Transportation Commission Discretionary Transit Funding Methods Evaluation. Mineta Transporation Institute, October 2023. http://dx.doi.org/10.31979/mti.2023.2133.
Schneider, Carsten. Advanced Applications of QCA (Qualitative Comparative Analysis) in R. Instats Inc., 2023. http://dx.doi.org/10.61700/4fghv0ob2x5de469.
Schneider, Carsten. Advanced Applications of QCA (Qualitative Comparative Analysis) in R. Instats Inc., 2022. http://dx.doi.org/10.61700/qdu1nxlyz9e6c469.
Popel, Maiia V., and Mariya P. Shyshkina. The areas of educational studies of the cloud-based learning systems. [б. в.], September 2019. http://dx.doi.org/10.31812/123456789/3245.
Worthingham, Robert. PR-579-153603-R01 Field Techniques for Determining Corrosion Status. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), September 2017. http://dx.doi.org/10.55274/r0011420.
Burns, Malcom, and Gavin Nixon. Literature review on analytical methods for the detection of precision bred products. Food Standards Agency, September 2023. http://dx.doi.org/10.46756/sci.fsa.ney927.
Gehlhar, Mark. Reconciling Bilateral Trade Data for Use in GTAP. GTAP Technical Paper, September 2000. http://dx.doi.org/10.21642/gtap.tp10.