Literatura académica sobre el tema "Algoritmo PC"
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Artículos de revistas sobre el tema "Algoritmo PC"
Ospina R., Oscar, Héctor Anzola Vásquez, Olber Ayala Duarte y Andrea Baracaldo Martínez. "Validación de un algoritmo de procesamiento de imágenes Red Green Blue (RGB), para la estimación de proteína cruda en gramíneas vs la tecnología de espectroscopía de infrarrojo cercano (NIRS)". Revista de Investigaciones Veterinarias del Perú 31, n.º 2 (20 de junio de 2020): e17940. http://dx.doi.org/10.15381/rivep.v31i2.17940.
Texto completoTrevisan, André Luis, Carlos Augusto Luz, Giane Fernanda Schneider Gross y Alessandra Dutra. "Pensamento computacional no novo Ensino Médio: atividades desplugadas envolvendo padrões e regularidades". Em Teia | Revista de Educação Matemática e Tecnológica Iberoamericana 13, n.º 3 (24 de octubre de 2022): 178. http://dx.doi.org/10.51359/2177-9309.2022.254685.
Texto completoMachado, Kheronn Khennedy y Alessandra Dutra. "Para além da programação: desenvolvimento do pensamento computacional nos conteúdos escolares". Em Teia | Revista de Educação Matemática e Tecnológica Iberoamericana 13, n.º 3 (24 de octubre de 2022): 310. http://dx.doi.org/10.51359/2177-9309.2022.254689.
Texto completoCedeño Rogger, Andrade. "Módulo didáctico para controlar nivel y caudal de agua, mediante sistema SCADA, PLC y algoritmo PID". Revista de Investigaciones en Energía, Medio Ambiente y Tecnología: RIEMAT ISSN: 2588-0721 4, n.º 2 (10 de enero de 2020): 50. http://dx.doi.org/10.33936/riemat.v4i2.2196.
Texto completoLlugsi Cañar, Ricardo y Renato Escandón. "Implementación de un prototipo para captura y procesamiento digital de imágenes térmicas adquiridas desde un UAV". Enfoque UTE 9, n.º 1 (30 de marzo de 2018): 1–11. http://dx.doi.org/10.29019/enfoqueute.v9n1.204.
Texto completoPeixoto, Renata de Moraes, Rodolfo de Moraes Peixoto, Kárita Cláudia Freitas Lidani y Mateus Matiuzzi da Costa. "Genotipificação de isolados de Staphylococcus epidermidis provenientes de casos de mastite caprina". Ciência Rural 43, n.º 2 (febrero de 2013): 322–25. http://dx.doi.org/10.1590/s0103-84782013000200021.
Texto completoRodríguez Bustinza, Ricardo y Ewar Mamani Churayra. "CONTROL DE LA VELOCIDAD EN TIEMPO REAL DE UN MOTOR DC CONTROLADO POR LÓGICA DIFUSA TIPO PD+I USANDO LABVIEW". Revista Cientifica TECNIA 21, n.º 1 (7 de abril de 2017): 5. http://dx.doi.org/10.21754/tecnia.v21i1.92.
Texto completoLi, Haifeng, Mo Hai y Wenxun Tang. "Prior Knowledge-Based Causal Inference Algorithms and Their Applications for China COVID-19 Analysis". Mathematics 10, n.º 19 (30 de septiembre de 2022): 3568. http://dx.doi.org/10.3390/math10193568.
Texto completoAydin, K. y J. Singh. "Cloud Ice Crystal Classification Using a 95-GHz Polarimetric Radar". Journal of Atmospheric and Oceanic Technology 21, n.º 11 (1 de noviembre de 2004): 1679–88. http://dx.doi.org/10.1175/jtech1671.1.
Texto completoHan, Qing Yu y Dong Jin. "The Design and Implementation of a New S-Curve Acceleration/Deceleration Algorithm". Advanced Materials Research 898 (febrero de 2014): 851–54. http://dx.doi.org/10.4028/www.scientific.net/amr.898.851.
Texto completoTesis sobre el tema "Algoritmo PC"
Coller, Emanuela. "Analysis of the PC algorithm as a tool for the inference of gene regulatory networks: evaluation of the performance, modification and application to selected case studies". Doctoral thesis, country:IT, 2013. http://hdl.handle.net/10449/23814.
Texto completoHodáň, Ján. "Automatizace kontroly PC". Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2013. http://www.nusl.cz/ntk/nusl-413297.
Texto completoKalisch, Markus. "Estimating high-dimensional dependence structures with the PC-algorithm /". Zürich : ETH, 2008. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=17783.
Texto completoBernini, Matteo. "An efficient Hardware implementation of the Peak Cancellation Crest Factor Reduction Algorithm". Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-206079.
Texto completoEn komponent som det är viktigt att ta hänsyn till när det kommer till en radiobasstations kostnad är förstärkaren som används för att driva antennerna. Kostnaden för förstärkaren kan delas upp i en initial kostnad relaterad till utveckling och tillverkning av kretsen, samt en löpande kostnad som är relaterad till kretsens energieffektivitet. Båda kostnaderna är kopplade till en egenskap hos förstärkarens insignal, vilken är kvoten mellan signalens maximala effekt och dess medeleffekt, såkallad toppfaktor. För att reducera dessa kostnader så är det möjligt att minska signalens medeleffekt, men en hög medeleffekt förbättrar radioöverföringen eftersom det är lättare för mottagaren att skilja en signal med hög energi från brus och interferens. Dessa två motsatta krav motiverar forskning och utveckling av lösningar för att minska signalens maximala värde utan att minska dess medeleffekt. En algoritm som kan användas för att minska signalens toppfaktor är Peak Cancellation. Den här rapporten presenterar design och hårdvaruimplementering av Peak Cancellation med avsikt att kunna användas av Ericsson AB i framtida integrerade kretsar. Det hårdvarubeskrivande språket SystemVerilog användes för både design och testning i projektet. MATLAB användes för att utforska designalternativ samt för att modellera algoritmen och jämföra utdata med hårdvaruimplementationen i simuleringar. De två huvudmålen med designen var att utnyttja hårdvaran effektivt för att nå en så liten kretsyta som möjligt och att använda en rad innovativa lösningar för kontrolldelen av designen. Exempel på innovativa designlösningar som användes är hur koefficienter för pulserna, som används för reducera toppar i signalen, hanteras och användning av tidsmultiplex för att ytterligare minska kretsytan. I användningsscenarion där båda lösningarna kan konkurrera, visar den föreslagna lösningen bättre resultat när det kommer till kretsyta och latens än nuvarande lösningar som används av Ericsson. Ges också förslag på ytterligare framtida förbättringar av implementationen.
McClenney, Walter O. "Analysis of the DES, LOKI, and IDEA algorithms for use in an encrypted voice PC network". Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1995. http://handle.dtic.mil/100.2/ADA297919.
Texto completoSchwanke, Ullrich. "Trigger and reconstruction farms in the HERA-B experiment and algorithms for a Third Level Trigger". Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät I, 2000. http://dx.doi.org/10.18452/14565.
Texto completoThe HERA-$B$ experiment at Deutsches Elektronen-Synchrotron (DESY) Hamburg aims at investigating the physics of particles containing $b$ quarks. The experiment focusses on measuring CP violation in the system of neutral $B$ mesons. It is expected that the precise determination of the CP asymmetry in the channel $B^0(\bar{B}^0)\to J/\psi K_S^0$ will have an impact on the further development of the Standard Model of Elementary Particle Physics and cosmological theories. The HERA-$B$ experiment uses the proton beam of the HERA storage ring in fixed-target mode. $B$ hadrons are produced in pairs when protons from the beam halo interact with target nuclei. The interactions are recorded by a forward-spectrometer with roughly 600.000 readout channels. At the HERA-$B$ centre-of-mass energy of 42.6\,GeV, the $b\bar{b}$ cross section is only a tiny fraction of the total inelastic cross section. Only one in about 10$^6$ events contains $b$ quarks, which turns the selection of signal events into a particular challenge. The selection is accomplished by a four-stage data acquisition and trigger system reducing the event rate from 10\,MHz to about 20\,Hz. Besides custom-made electronics, several hundreds of PCs are used in the trigger system. The computers are arranged in two so-called PC farms with more than 200 processors each. The PC farms provide the computing capacity for trigger decisions and the prompt analysis of event data. One farm executes fast trigger programs with a computing time of 1--100\,ms per event. The other farm performs online reconstruction of the events before data are archived on tape. The computing time per event is in the range of several seconds. This thesis covers two topics. In the beginning, the technical implementation of the trigger and the reconstruction farm are described. In doing so, emphasis is put on the software systems which make calibration data available to the farms and which provide a centralised view on the results of the executing processes. The principal part of this thesis deals with algorithms for a Third Level Trigger. This trigger is to come into operation on the trigger farm together with existing programs. Processes of the type $B^0(\bar{B}^0)\to J/\psi X$ have a very clean signature when the $J/\psi$ decays to a $e^+e^-$ or $\mu^+\mu^-$ pair. The trigger system attempts to identify two unlike-sign leptons of the same flavour whose invariant mass matches the $J/\psi$. In later steps, the tracks are required to originate from a common vertex close to the target. It is assumed that these kinematic constraints are sufficient to pick out events of this type among the copious background processes. In contrast, the Third Level Trigger is to be applied to signal processes with fewer kinematic constraints. Such events occur for example when two $B$ mesons, which were created in a proton-target collision, decay semileptonically. The trigger system selects merely the two leptons which do not originate from a common vertex in this case. The Third Level Trigger has 100\,ms at its disposal to extract further criteria from the data which can serve to distinguish between signal and background events. This thesis investigates with the aid of Monte-Carlo simulations how the data of the experiment's silicon vertex detector can contribute to the decisions of a Third Level Trigger. The trigger aims at reconstructing tracks from the decay cascade of $B$ mesons in addition to the leptons selected by the preceding trigger levels. A fast pattern recognition for the vertex detector demonstrates that the reconstruction of all tracks and the application of trigger algorithms are possible within the given time slot of 100\,ms. The determination of track parameters in the target region exploits the Kalman-filter method to account for the multiple scattering of particles in the detector material. The application of this method is, however, made difficult by two facts. First, the momentum of the reconstructed tracks is not known. And, second, the material distribution in the detector cannot be taken into consideration in detail due to timing limitations. Adequate approximations for the momentum and the material traversed by a particle help to accomplish a sufficient accuracy of the track parameters. The reconstructed tracks constitute the starting point of several trigger algorithms, whose suitability to select signal events is investigated. Our studies indicate that the reconstruction of tracks with large impact parameters is a more promising approach than a search for secondary vertices.
Hoffmann, Gustavo André. "Study of the audio coding algorithm of the MPEG-4 AAC standard and comparison among implementations of modules of the algorithm". reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2002. http://hdl.handle.net/10183/1697.
Texto completoSaptari, Adi. "PC computer based algorithm for the selection of material handling equipment for a distribution warehouse based on least annual cost and operating parameters". Ohio : Ohio University, 1990. http://www.ohiolink.edu/etd/view.cgi?ohiou1183473503.
Texto completoVerbyla, Petras. "Network inference using independence criteria". Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/277912.
Texto completoAlsawaf, Anas. "Development of a PC-based cost engineering algorithm for capital intensive industries based on the methodology of total absorption standard costing". Ohio : Ohio University, 1992. http://www.ohiolink.edu/etd/view.cgi?ohiou1176492634.
Texto completoLibros sobre el tema "Algoritmo PC"
Mundel, Marvin Everett. Measuring the productivity ofcommercial banks: Algorithms and PC programs. White Plains, N.Y: UNIPUB/Kraus International Publications, 1987.
Buscar texto completoMeasuring totalproductivity in manufacturing organizations: Algorithms and PC programs. White Plains, N.Y: UNIPUB/Kraus International Publications, 1987.
Buscar texto completoMundel, Marvin Everett. Measuring total productivity of manufacturing organizations: Algorithms and PC programs. White Plains, N.Y: UNIPUB/Kraus International Publications, 1987.
Buscar texto completoMundel, Marvin Everett. Measuring the productivity of commercial banks: Algorithms and PC programs. White Plains, N.Y: UNIPUB/Kraus International Publications, 1987.
Buscar texto completoBennane, Aomar. A TMS320/IBM PC coprocessor system for digital signal processing algorithms. Birmingham: University of Birmingham, 1987.
Buscar texto completoDrew, Wells, ed. Ray Tracing Creations: Generate 3D Photorealistic Images on the PC. 2a ed. Corte Madera, CA: Waite group Press, 1994.
Buscar texto completo1955-, Young Chris, ed. Ray Tracing Creations: Generate 3-D Photorealistic Images on the PC. Corte Madera, CA: Waite Group Press, 1993.
Buscar texto completoMundel, Marvin Everett. The white-collar knowledge worker: Measuring and improving productivity and effectiveness : algorithms and PC programs. [Tokyo, Japan]: Asian Productivity Organization, 1989.
Buscar texto completoMundel, Marvin Everett. The white-collar knowledge worker: Measuring and improving productivity and effectiveness : algorithms and PC programs. [Tokyo, Japan]: Asian Productivity Organization, 1989.
Buscar texto completoRommelfanger, Heinrich. PC software FULPAL 2.0: An interactive algorithm for solving multicriteria fuzzy linear programs controlled by aspiration levels. Frankfurt/Main: Johann Wolfgang Goethe-Universität Frankfurt, Fachbereich Wirtschaftswissenschaften, 1995.
Buscar texto completoCapítulos de libros sobre el tema "Algoritmo PC"
Madsen, Anders L., Frank Jensen, Antonio Salmerón, Helge Langseth y Thomas D. Nielsen. "Parallelisation of the PC Algorithm". En Advances in Artificial Intelligence, 14–24. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24598-0_2.
Texto completoNäher, Stefan y Kurt Mehlhorn. "LEDA — A Library of Efficient Data Types and Algorithms". En PC-Einsatz in der Hochschulausbildung, 105–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-84839-1_17.
Texto completoAlsuwat, Emad, Hatim Alsuwat, Marco Valtorta y Csilla Farkas. "Cyber Attacks Against the PC Learning Algorithm". En ECML PKDD 2018 Workshops, 159–76. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-13453-2_13.
Texto completoLi, Jiuyong, Lin Liu y Thuc Duy Le. "Local Causal Discovery with a Simple PC Algorithm". En Practical Approaches to Causal Relationship Exploration, 9–21. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14433-7_2.
Texto completoLi, Yushi y George Baciu. "PC-OPT: A SfM Point Cloud Denoising Algorithm". En Lecture Notes in Computer Science, 280–91. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62362-3_25.
Texto completoZhang, Jiawan, Jizhou Sun, Yi Zhang, Qianqian Han y Zhou Jin. "A Parallel Volume Splatting Algorithm Based on PC-Clusters". En Computational Science and Its Applications – ICCSA 2004, 272–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24709-8_29.
Texto completoCui, Ruifei, Perry Groot y Tom Heskes. "Copula PC Algorithm for Causal Discovery from Mixed Data". En Machine Learning and Knowledge Discovery in Databases, 377–92. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46227-1_24.
Texto completoDenysiuk, Roman, Lino Costa, Isabel Espírito Santo y José C. Matos. "MOEA/PC: Multiobjective Evolutionary Algorithm Based on Polar Coordinates". En Lecture Notes in Computer Science, 141–55. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15934-8_10.
Texto completoNoor, Fazal y Syed Misbahuddin. "Using MPI on PC Cluster to Compute Eigenvalues of Hermitian Toeplitz Matrices". En Algorithms and Architectures for Parallel Processing, 313–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13119-6_28.
Texto completoDoan, Viet Hung, Nam Thoai y Nguyen Thanh Son. "An Adaptive Space-Sharing Scheduling Algorithm for PC-Based Clusters". En Modeling, Simulation and Optimization of Complex Processes, 225–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-79409-7_14.
Texto completoActas de conferencias sobre el tema "Algoritmo PC"
Fontinele, Alexandre y André Soares. "Um Novo Algoritmo IA-RSA Ciente de Imperfeições de Camada Física para Redes Ópticas Elásticas". En XXX Concurso de Teses e Dissertações da SBC. Sociedade Brasileira de Computação - SBC, 2017. http://dx.doi.org/10.5753/ctd.2017.3458.
Texto completoFerreira, Tamara, Joslaine Cristina Jeske de Freitas, Marcos Wagner Souza Ribeiro y Eliane Raimann. "Desenvolvimento do Pensamento Computacional na Ciência da Computação - uma Questão de Gênero?" En Workshop de Informática na Escola. Sociedade Brasileira de Computação, 2019. http://dx.doi.org/10.5753/cbie.wie.2019.944.
Texto completoMilitky, Jiri, Milan Meloun y Karel Kupka. "Chemometrical package for PC". En Proceedings of the First Scientific Meeting of the IASE. International Association for Statistical Education, 1993. http://dx.doi.org/10.52041/srap.93312.
Texto completoVarney, Doug. "Adequacy of checksum algorithms for computer virus detection". En the 1990 ACM SIGSMALL/PC symposium. New York, New York, USA: ACM Press, 1990. http://dx.doi.org/10.1145/99412.99494.
Texto completoKulkarni, A. D. y G. M. Whitson. "Self organizing neural networks with a split/merge algorithm". En the 1990 ACM SIGSMALL/PC symposium. New York, New York, USA: ACM Press, 1990. http://dx.doi.org/10.1145/99412.99485.
Texto completo"Summarizing Genome-wide Phased Genotypes using Phased PC Plots". En International Conference on Bioinformatics Models, Methods and Algorithms. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004793501300135.
Texto completoMartin, William y Cassandra Telenko. "Finding Causality in Socio-Technical Systems: A Comparison of Bayesian Network Structure Learning Algorithms". En ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-67414.
Texto completoTassa, Tamir, Tal Grinshpoun y Avishai Yanay. "A Privacy Preserving Collusion Secure DCOP Algorithm". En Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/663.
Texto completoMartinec, Dan y Marek Bundzel. "Evolutionary algorithms and reinforcement learning in experiments with slot cars". En 2013 International Conference on Process Control (PC). IEEE, 2013. http://dx.doi.org/10.1109/pc.2013.6581401.
Texto completoWakatani, Akiyoshi. "PNN Algorithm for PC Grid System". En International Conference on Software Engineering Advances (ICSEA 2007). IEEE, 2007. http://dx.doi.org/10.1109/icsea.2007.54.
Texto completoInformes sobre el tema "Algoritmo PC"
Davidson, J. R. Monte Carlo tests of the ELIPGRID-PC algorithm. Office of Scientific and Technical Information (OSTI), abril de 1995. http://dx.doi.org/10.2172/52637.
Texto completoSearcy, Stephen W. y Kalman Peleg. Adaptive Sorting of Fresh Produce. United States Department of Agriculture, agosto de 1993. http://dx.doi.org/10.32747/1993.7568747.bard.
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