Academic literature on the topic 'Interval Sequences'
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Journal articles on the topic "Interval Sequences"
Bar-Noy, Amotz, Keerti Choudhary, David Peleg, and Dror Rawitz. "Efficiently Realizing Interval Sequences." SIAM Journal on Discrete Mathematics 34, no. 4 (January 2020): 2318–37. http://dx.doi.org/10.1137/20m1326489.
Full textDewsnap and Fischer. "INTERVAL MAPS AND KOENIGS' SEQUENCES." Real Analysis Exchange 25, no. 1 (1999): 205. http://dx.doi.org/10.2307/44153071.
Full textLychak, M. M. "Interval characteristics of chaotic sequences." Cybernetics and Systems Analysis 40, no. 5 (September 2004): 678–88. http://dx.doi.org/10.1007/s10559-005-0005-z.
Full textCysarz, D., H. Bettermann, and P. van Leeuwen. "Entropies of short binary sequences in heart period dynamics." American Journal of Physiology-Heart and Circulatory Physiology 278, no. 6 (June 1, 2000): H2163—H2172. http://dx.doi.org/10.1152/ajpheart.2000.278.6.h2163.
Full textBelfer, Alexander, and Martin C. Golumbic. "Counting endpoint sequences for interval orders and interval graphs." Discrete Mathematics 114, no. 1-3 (April 1993): 23–39. http://dx.doi.org/10.1016/0012-365x(93)90353-u.
Full textRepp, Bruno H., Justin London, and Peter E. Keller. "Phase Correction in Sensorimotor Synchronization with Nonisochronous Sequences." Music Perception 26, no. 2 (December 1, 2008): 171–75. http://dx.doi.org/10.1525/mp.2008.26.2.171.
Full textAgafonov, A. Y., A. D. Fomicheva, G. A. Starostin, and A. P. Kryukova. "Implicit Learning of the Time Interval Sequence." Experimental Psychology (Russia) 14, no. 1 (2021): 108–21. http://dx.doi.org/10.17759/exppsy.2021140104.
Full textBentbib, A. H. "Acceleration of convergence of interval sequences." Journal of Computational and Applied Mathematics 51, no. 3 (June 1994): 395–409. http://dx.doi.org/10.1016/0377-0427(92)00120-x.
Full textRoh, Jong-Won, and Byoung-Kee Yi. "Efficient indexing of interval time sequences." Information Processing Letters 109, no. 1 (December 2008): 1–12. http://dx.doi.org/10.1016/j.ipl.2008.08.003.
Full textDebnath, Shyamal, and Subrata Saha. "Matrix transformation on statistically convergent sequence spaces of interval number sequences." Proyecciones (Antofagasta) 35, no. 2 (June 2016): 187–95. http://dx.doi.org/10.4067/s0716-09172016000200004.
Full textDissertations / Theses on the topic "Interval Sequences"
Szabó, Tamás Zoltán. "Interval filling sequences and additive functions /." The Ohio State University, 1993. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487844105976394.
Full textKnight, James Robert. "Discrete pattern matching over sequences and interval sets." Diss., The University of Arizona, 1993. http://hdl.handle.net/10150/186432.
Full textBoukhetta, Salah Eddine. "Analyse de séquences avec GALACTIC – Approche générique combinant analyse formelle des concepts et fouille de motifs." Electronic Thesis or Diss., La Rochelle, 2022. http://www.theses.fr/2022LAROS035.
Full textA sequence is a sequence of ordered elements such as travel trajectories or sequences of product purchases in a supermarket. Sequence mining is a domain of data mining that aims an extracting frequent sequential patterns from a set of sequences, where these patterns are most often common subsequences. Support is a monotonic measure that defines the proportion of data sharing a sequential pattern. Several algorithms have been proposed for frequent sequential pattern extraction. With the evolution of computing capabilities, the task of frequent sequential pattern extraction has become faster. The difficulty then lies in the large number of extracted sequential patterns, which makes it difficult to read and therefore to interpret. We speak about "deluge of patterns". Formal Concept Analysis (FCA) is a field of data analysis for identifying relationships in a set of binary data. Pattern structures extend FCA to handle complex data such as sequences. The GALACTIC platform implements the Next Priority Concept algorithm which proposes a pattern extraction approach for heterogeneous and complex data. It allows a generic pattern computation through specific descriptions of objects by monadic predicates. It also proposes to refine a set of objects through specific exploration strategies, which allows to reduce the number of patterns. In this work, we are interested in the analysis of sequential data using GALACTIC. We propose several descriptions and strategies adapted to sequences. We also propose unsupervised quality measures to be able to compare between the obtained patterns. A qualitative and quantitative analysis is conducted on real and synthetic datasets to show the efficiency of our approach
Schnellmann, Daniel. "Viana maps and limit distributions of sums of point measures." Phd thesis, KTH, Matematik (Inst.), 2009. http://tel.archives-ouvertes.fr/tel-00694201.
Full textCasagrande, Junia. "Análise estratigráfica e estrutural do intervalo carbonoso portador de CBM : eo-permiana da Bacia do Paraná." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2010. http://hdl.handle.net/10183/25534.
Full textCoal bed methane (CBM0 refers to the methane gas generated in coal beds and is a worldwide target in the petroleum industry. Since the Seventies when CBM was seen like a economically viable energy source studies had been directed to understand it’s occurrence pattern, distribution, viability, productivity and recovery (Flores, 1997). Nowadays CBM is economically produced and investigated in several coaly basins around the world (USA, China). In Brazil the main coal accumulations are of Permian age being part of the Rio Bonito Formation of Parana Basin. From all known coalfields the Santa Terezinha coalfield, in the northeastern region of Rio Grande do Sul state, certainly is the one that presents greater potential to CBM. The structural conditioning and the good thickness of coal beds occurring in depths between 400m and 1000m emplaced the coalfield in a favorable situation to methane generation. Tens of cored wells were utilized to the stratigraphic characterization of the coal bearing interval. A detailed description of cores supplied informations to facies and depositional environments analysis allowing the recognition of parasequences with a dominant retrogradational pattern characterizing a manly transgressive depositional sequence showing aluvial deposits at the base, marsh and lacustrine deposits in middle portion and marine strata on top. The structural analysis revealed a strong tectonic compartmentation of coal beds, displaced by normal faults with high slip. The integration of stratigraphic data with the determination of actual structural patterns and other complexities allowed the recognition of a zone with better conditions to CBM exploration in the Santa Terezinha coalfield.
Winarko, Edi, and edwin@ugm ac id. "The Discovery and Retrieval of Temporal Rules in Interval Sequence Data." Flinders University. Informatics and Engineering, 2007. http://catalogue.flinders.edu.au./local/adt/public/adt-SFU20080107.164033.
Full textSantos, Werlem Holanda dos. "Análise estratigráfica do intervalo siluro-devoniano da bacia do Amazonas." Universidade do Estado do Rio de Janeiro, 2014. http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=7129.
Full textO trabalho consiste na análise estratigráfica do intervalo siluro-devoniano da Bacia do Amazonas utilizando como base os conceitos da Estratigrafia Moderna, mais especificamente a sequência estratigráfica genética, proposta por Galloway (1989), a qual utiliza as superfícies de inundação marinha como os limites de uma sequência sedimentar. A principal razão para a utilização desta metodologia deve-se ao fato que o conteúdo rochoso compreendido no intervalo estudado teve a sua sedimentação relacionada às transgressões marinhas que faziam parte do contexto paleogeográfico da bacia durante o Siluriano e Devoniano. Desta forma, as superfícies de inundação máxima, representativas de eventos cronoestratigráficos, destacam-se nos perfis de raios gama e são tomadas como datum de correlação em treze poços exploratórios, os quais foram distribuídos em quatro seções (A-A, B-B, C-C e D-D) pela bacia. A análise destas seções permitiu a identificação de quatro sequências de terceira ordem (AB, BC, CD e DE), limitadas no topo e na base por superfícies de inundação marinha. Cada sequência é constituída por ciclos regressivo-transgressivos assimétricos, representados pelo trato de sistemas de mar alto e pelo trato de sistemas transgressivo. A análise destas seções integrada à interpretação de mapas estratigráficos (isópacas, isólitas e porcentagem de areias) possibilitou identificar o depocentro da bacia, bem como duas áreas principais como fonte de sedimentos arenosos (uma a oeste e outra a sul). Além disto, foi possível inferir que a comunicação marinha com o continente, durante as transgressões paleozoicas, responsável pela deposição de sedimentos pelíticos, seguiu uma orientação de norte para sul, evoluindo obliquamente em direção ao continente num trend nordeste para sudoeste. Por fim, a partir da análise cíclica em perfis de raios gama, as superfícies de inundação marinha, do intervalo Devoniano, das bacias do Amazonas e Parnaíba foram correlacionadas.
Vessell, Aimee L. "Optimizing the sequenced production schedule by managing the internal supply chain." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/37236.
Full textIncludes bibliographical references (p. 85-86).
Many manufacturing companies wrestle with managing in-house manufactured inventories especially in the climate of Just-in-Time (JIT) manufacturing and with constant pressure to reduce inventory levels. One popular self-managing approach to controlling inventory levels while being responsive to customer demand is implementing a 'Pull' system. A Pull system is one that takes production signals from the downstream process and is based on true customer demand. This is in contrast to a 'Push' system that takes the production signal from the upstream schedule. This thesis will explore inventory management strategies at 3WA Powertrain Operation (PTO) as they approach plant wide implementation of 'Pull-to-Assembly'. 3WA PTO is working to completely link each of their in-house component (parts) production processes to the scheduled Assembly process such that component production signals will each 'pull' from the following process step and ultimately from the Powertrain Assembly schedule. The tested hypotheses include: 1) For 'Pull-to-Assembly' to be successful, a highly synchronized and visible in-house inventory management structure must first be in-place.
(cont.) Successful inventory management requires that inventory levels for each component must be completely understood and tuned to the variety of the component, process lead time, demand and variability in both lead time and demand. 2) A Pull system, like any other manufacturing process or technology, requires effective integration of the human, organizational, and technical system features. 3) Transitioning from a primarily Push to a Pull system as well as implementing new inventory strategies requires effective management of change. This thesis leads with the analysis of technical features required to implement a Pull system at 3WA as well as to improve in-house inventory management methods. Included within this technical analysis is the presentation of a 'calculator' tool that allows the user to determine initial inventory levels appropriate for a given part based on the demand/lead time scenario. Following the more technical analysis, this thesis examines the organizational change and human elements needed to transition to and sustain a Pull system in this organization. The following overarching conclusions were developed based on observations, research and experimentation at 3WA PTO.
(cont.) More specific conclusions related to the topics of 'Pull-to-Assembly, inventory management, data driven decision making, 'pulling' change in a tribal knowledge culture and the "demographic cliff' are presented within the thesis. Standardized processes and system stability along with accurate, knowledgeable and visible inventory management must be in-place before an extensive 'Pull' system will be successful.
(cont.) There is no 'one-size fits all' for inventory management. Inventory management depends primarily on expected demand, lead time and the variability in both. Equally important to choosing an inventory strategy, however, is having a solid understanding of true customer needs including how they will signal demand, how often and how fast the product is needed. Change must be 'Pulled' from an organization for 'True Change' to happen. The 'demographic cliff' is approaching for many traditional manufacturing companies like 3WA and the right employee skills profiling, retirement policies, and knowledge retention/sharing strategies must be in place for both short-term and long-term company success.
by Aimee L. Vessell.
S.M.
M.B.A.
Brunstein, John. "Analysis of the internal replication sequence of minute virus of mice." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp02/NQ27113.pdf.
Full textDíaz, Rogelio Preciado. "Fast and slow internal dynamics of ¹³C labeled DNA oligomers in solution /." Thesis, Connect to this title online; UW restricted, 2002. http://hdl.handle.net/1773/8630.
Full textBooks on the topic "Interval Sequences"
Tam, Lisa Yuen-Ying. Identification of an internal topogenic signal sequence in human band 3, the erythrocyte anion exchanger. Ottawa: National Library of Canada, 1994.
Find full textOppenheimer, Jerry L. Indexes to Technical Corrections Act of 1987: As introduced (H.R. 2636 and S. 1350) : arranged in Internal Revenue Code and Tax Reform Act of 1986 section sequence. Washington, D.C: Mayer, Brown & Platt, 1987.
Find full textFink, Robert. Neanderthal flute: Oldest musical instrument : matches notes of do, re, mi scale : musicological analysis. Greenwich [Sask.]: B. Fink, 1997.
Find full textBarold, S. Serge. Atrioventricular conduction abnormalities and atrioventricular blocks: ECG patterns and diagnosis. Edited by Giuseppe Boriani. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198784906.003.0453.
Full textAlexander, Mr Joseph, and Mr Tim Pettingale. Guitar Fretboard Fluency: Master Creative Guitar Soloing, Intervals, Scale Patterns and Sequences. www.fundamental-changes.com, 2019.
Find full textBlindert, Kris. Internal dynamics of galaxy clusters in the Red-Sequence Cluster Survey. 2006.
Find full textGrubisha, Lisa C. Systematics of the genus Rhizopogon inferred from nuclear ribosomal DNA large subunit and internal transcribed spacer sequences. 1998.
Find full textIsett, Philip. A Main Lemma for Continuous Solutions. Princeton University Press, 2017. http://dx.doi.org/10.23943/princeton/9780691174822.003.0005.
Full textMedová, Lucie Taraldsen, and Bartosz Wiland. Functional Sequence Zones and Slavic L>T>N Participles. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190876746.003.0012.
Full textAbdennadher, Mourad. Molecular fingerprinting, rDNA internal transcribed spacer sequence, and karyotype analysis of Ustilago hordei and related smut fungi. 1995.
Find full textBook chapters on the topic "Interval Sequences"
Ben Zakour, Asma, Sofian Maabout, Mohamed Mosbah, and Marc Sistiaga. "Uncertainty Interval Temporal Sequences Extraction." In Information Systems, Technology and Management, 259–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29166-1_23.
Full textMirbagheri, S. Mohammad, and Howard J. Hamilton. "High-Utility Interval-Based Sequences." In Big Data Analytics and Knowledge Discovery, 107–21. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59065-9_9.
Full textHenelius, Andreas, Jussi Korpela, and Kai Puolamäki. "Explaining Interval Sequences by Randomization." In Advanced Information Systems Engineering, 337–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40988-2_22.
Full textHöppner, Frank, and Frank Klawonn. "Finding Informative Rules in Interval Sequences." In Advances in Intelligent Data Analysis, 125–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44816-0_13.
Full textYi, Byoung-Kee, and Jong-Won Roh. "Similarity Search for Interval Time Sequences." In Database Systems for Advanced Applications, 232–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24571-1_21.
Full textBalakirsky, Vladimir B. "Description of Binary Sequences Based on the Interval Linear Complexity Profile." In Sequences and their Applications, 101–15. London: Springer London, 2002. http://dx.doi.org/10.1007/978-1-4471-0673-9_7.
Full textMirbagheri, S. Mohammad, and Howard J. Hamilton. "Similarity Matching of Temporal Event-Interval Sequences." In Advances in Artificial Intelligence, 420–25. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47358-7_43.
Full textKriegel, Hans-Peter, Peter Kunath, Martin Pfeifle, and Matthias Renz. "Distributed Intersection Join of Complex Interval Sequences." In Database Systems for Advanced Applications, 748–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11408079_68.
Full textKostakis, Orestis, Panagiotis Papapetrou, and Jaakko Hollmén. "ARTEMIS: Assessing the Similarity of Event-Interval Sequences." In Machine Learning and Knowledge Discovery in Databases, 229–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23783-6_15.
Full textPlantevit, Marc, Vasile-Marian Scuturici, and Céline Robardet. "Temporal Dependency Detection Between Interval-Based Event Sequences." In New Frontiers in Mining Complex Patterns, 132–46. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17876-9_9.
Full textConference papers on the topic "Interval Sequences"
Bonomi, Luca, and Xiaoqian Jiang. "Pattern Similarity in Time Interval Sequences." In 2018 IEEE International Conference on Healthcare Informatics (ICHI). IEEE, 2018. http://dx.doi.org/10.1109/ichi.2018.00087.
Full textKostakis, Orestis Kostakis, and Aristides Gionis Gionis. "Subsequence Search in Event-Interval Sequences." In SIGIR '15: The 38th International ACM SIGIR conference on research and development in Information Retrieval. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2766462.2767778.
Full textWani, Gajendra, and Manish Joshi. "Quantitative estimation of time interval of 3-sequences." In 2016 5th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO). IEEE, 2016. http://dx.doi.org/10.1109/icrito.2016.7784996.
Full textDai, Bing, Yu-e. Bao, and Meihua Wu. "Research on the limit of interval number sequences." In GREEN ENERGY AND SUSTAINABLE DEVELOPMENT I: Proceedings of the International Conference on Green Energy and Sustainable Development (GESD 2017). Author(s), 2017. http://dx.doi.org/10.1063/1.4992900.
Full textLiu, Yan, Liujun Chen, Jiawei Chen, Qinghua Chen, and Fukang Fang. "Dynamic Neural Network for Recognizing Interspike Interval Sequences." In 2008 Fourth International Conference on Natural Computation. IEEE, 2008. http://dx.doi.org/10.1109/icnc.2008.697.
Full textVelasco, Manel, Pau Marti, and Enrico Bini. "Equilibrium sampling interval sequences for event-driven controllers." In 2009 European Control Conference (ECC). IEEE, 2009. http://dx.doi.org/10.23919/ecc.2009.7074987.
Full textReshamwala, Alpa, and Sunita Mahajan. "Detection of DoS attack time interval sequences on network traffic." In 2012 World Congress on Information and Communication Technologies (WICT). IEEE, 2012. http://dx.doi.org/10.1109/wict.2012.6409172.
Full textYang, Pu-Tai, and Chih-Jui Chen. "Conflict Detection in Interval-based Sequences from Wireless Sensor Networks." In the 2017 International Conference. New York, New York, USA: ACM Press, 2017. http://dx.doi.org/10.1145/3176653.3176655.
Full textLewis, Austin D., and Katrina M. Groth. "A Multi-Interval Method for Discretizing Continuous-Time Event Sequences." In 2021 Annual Reliability and Maintainability Symposium (RAMS). IEEE, 2021. http://dx.doi.org/10.1109/rams48097.2021.9605718.
Full textWang, Hui, Yanlei Zhao, Feng Shen, and Wei Sun. "The design of wide interval FH sequences based on RS code." In 2009 International Conference on Mechatronics and Automation (ICMA). IEEE, 2009. http://dx.doi.org/10.1109/icma.2009.5246175.
Full textReports on the topic "Interval Sequences"
McNeil, D. H., and M. C. Birchard. Cenozoic foraminiferal interval zones and sequence tops in 66 exploration wells, Beaufort - Mackenzie Basin. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1989. http://dx.doi.org/10.4095/130770.
Full textZhang, Xiaolei. On the Generation of the Hubble Sequence Through an Internal Secular Dynamical Process. Fort Belvoir, VA: Defense Technical Information Center, January 2004. http://dx.doi.org/10.21236/ada470522.
Full textMcLoughlin, K. Technical Report: Benchmarking for Quasispecies Abundance Inference with Confidence Intervals from Metagenomic Sequence Data. Office of Scientific and Technical Information (OSTI), January 2016. http://dx.doi.org/10.2172/1237578.
Full textMcLoughlin, K. Technical Report on Modeling for Quasispecies Abundance Inference with Confidence Intervals from Metagenomic Sequence Data. Office of Scientific and Technical Information (OSTI), January 2016. http://dx.doi.org/10.2172/1237573.
Full textPadget, C. D. W., D. R. M. Pattison, D. P. Moynihan, and O. Beyssac. Pyrite and pyrrhotite in a prograde metamorphic sequence, Hyland River region, SE Yukon: implications for orogenic gold. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/328987.
Full textMcLoughlin, Kevin. Technical Report: Algorithm and Implementation for Quasispecies Abundance Inference with Confidence Intervals from Metagenomic Sequence Data. Office of Scientific and Technical Information (OSTI), January 2016. http://dx.doi.org/10.2172/1237568.
Full textDavidson, Irit, Hsing-Jien Kung, and Richard L. Witter. Molecular Interactions between Herpes and Retroviruses in Dually Infected Chickens and Turkeys. United States Department of Agriculture, January 2002. http://dx.doi.org/10.32747/2002.7575275.bard.
Full textCumbest, R. J. Evaluation of Cross-Hole Seismic Tomography for Imaging Low Resistance Intervals and Associated Carbonate Sediments in Coastal Plain Sequences on the Savannah River Site, South Carolina. Office of Scientific and Technical Information (OSTI), January 1999. http://dx.doi.org/10.2172/4847.
Full textElroy-Stein, Orna, and Dmitry Belostotsky. Mechanism of Internal Initiation of Translation in Plants. United States Department of Agriculture, December 2010. http://dx.doi.org/10.32747/2010.7696518.bard.
Full textPayne, Jr., A., S. Daniel, D. Whitehead, T. Sype, S. Dingman, and C. Shaffer. Analysis of the LaSalle Unit 2 Nuclear Power Plant: Risk Methods Integration and Evaluation Program (RMIEP). Volume 3, Part 2, Internal events accident sequence quantification: Appendices. Office of Scientific and Technical Information (OSTI), August 1992. http://dx.doi.org/10.2172/10174542.
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