Дисертації з теми "Pattern"
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SAEKI, Motoshi, Takashi KOBAYASHI, Ryota SAKAMOTO, Junya KATADA, and Shinpei HAYASHI. "Design Pattern Detection by Using Meta Patterns." Institute of Electronics, Information and Communication Engineers, 2008. http://hdl.handle.net/2237/14977.
Hallstrom, Jason Olof. "Design Pattern Contracts." The Ohio State University, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=osu1090010266.
Walton, James Jonathan. "Pattern-equivariant homology of finite local complexity patterns." Thesis, University of Leicester, 2014. http://hdl.handle.net/2381/28923.
Kristensen, Johnstone Tonje. "Surface patterns, spatiality and pattern relations in textile design." Licentiate thesis, Högskolan i Borås, Akademin för textil, teknik och ekonomi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-12987.
Charalampidis, Orestis Kosmas. "Patterns in the city : A tool for pattern correlation." Thesis, KTH, Urbana och regionala studier, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279944.
Livable cities are in the frontline of the work of architects and urban designers and livable streets occupy a large and important part of where city life happens. The study of existing streets and the life on them, a part of urban morphology's field of research, could bring light to aspects that will evolve the design process. This thesis suggests a method that aims to contribute to a better understanding of how we experience street environments. It is an effort to analyze and quantify the rhythms that occur through our every day life experience along the streetscapes. The patterns of our built environment's elements contribute to the creation of such urban rhythms. The method is comprised by a mapping process for data collection and a mathematical model which analyzes the data and provides with quantitative results that are used as comparative indexes for the correlation of patterns along the facades of selected paths. The method is tested on a sample of three paths in the city of Stockholm. The results of the test are considered satisfying for the technique to be considered functional. The test, though, limits itself to physical, perceptible objects. Therefore, the method's contribution would be more valuable inside a broader context and in combination with methods and data of a more inclusive study, which will provide a more holistic analysis. Main obstacles for the method's implementation are the lack of information about connection of existing patterns to urban space qualities and the inefficient ways of mapping patterns in a large scale. However, technological advancements and further research might create a fertile ground for development.
Hakeem, Hossam Hassan. "A compositional framework for determining pattern applicability." Thesis, De Montfort University, 2010. http://hdl.handle.net/2086/4401.
Bruinink, C. M. "Pattern strategies in nanofabrication from periodic patterns to functional nanostructures /." Enschede : University of Twente [Host], 2009. http://doc.utwente.nl/60764.
Blais, Pascal. "Pattern compression." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ38737.pdf.
Mputa, Thozama. "Pattern Place." Master's thesis, University of Cape Town, 2018. http://hdl.handle.net/11427/28142.
Jones, Mary Elizabeth Song Il-Yeol. "Dimensional modeling : identifying patterns, classifying patterns, and evaluating pattern impact on the design process /." Philadelphia, Pa. : Drexel University, 2006. http://dspace.library.drexel.edu/handle/1860/743.
Wu, Sheng-Tang. "Knowledge discovery using pattern taxonomy model in text mining." Queensland University of Technology, 2007. http://eprints.qut.edu.au/16675/.
Zhu, Jia Jun. "A language for financial chart patterns and template-based pattern classification." Thesis, University of Macau, 2018. http://umaclib3.umac.mo/record=b3950603.
Wu, Sheng-Tang. "Knowledge discovery using pattern taxonomy model in text mining." Thesis, Queensland University of Technology, 2007. https://eprints.qut.edu.au/16675/1/Sheng-Tang_Wu_Thesis.pdf.
Zhou, Philip Yuanping. "Array pattern synthesis and adaptive beamforming with pattern control." Diss., Georgia Institute of Technology, 1999. http://hdl.handle.net/1853/13725.
Robinson, Daniel D. "Applications of pattern recognition and pattern analysis to molecule design." Thesis, University of Oxford, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.343465.
Lu, Jing. "From sequential patterns to concurrent branch patterns : a new post sequential patterns mining approach." Thesis, University of Bedfordshire, 2006. http://hdl.handle.net/10547/556399.
Bendiuga, Volodymyr. "Multi-Core Pattern." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-16484.
Yao, Xiaoqiang. "Pattern-recognition scheduling." Ohio : Ohio University, 1996. http://www.ohiolink.edu/etd/view.cgi?ohiou1177698616.
Petheram, R. J. "Automatic pattern recognition." Thesis, University of Nottingham, 1989. http://eprints.nottingham.ac.uk/28974/.
Choakjarernwanit, Naruetep. "Statistical pattern recognition." Thesis, University of Surrey, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.306586.
Neou, Both Emerite. "Permutation pattern matching." Thesis, Paris Est, 2017. http://www.theses.fr/2017PESC1239/document.
This thesis focuses on permutation pattern matching problem, which askswhether a pattern occurs in a text where both the pattern and text are permutations.In other words, we seek to determine whether there exist elements ofthe text such that they are sorted and appear in the same order as the elementsof the pattern. The problem is NP-complete. This thesis examines particularcases of the problem that are polynomial-time solvable.For this purpose, we study the problem by giving constraints on the permutationstext and/or pattern. In particular, the cases in which the text and/orpattern are permutations in which the patterns 2413 and 3142 do not occur(also known as separable permutations) and in which the text and/or patternare permutations in which the patterns 213 and 231 do not occur (also known aswedge permutations) are also considered. Some problems related to the patternmatching and the permutation pattern matching with bivincular pattern arealso studied
Placide, Eustache. "Hybrid pattern recognition." DigitalCommons@Robert W. Woodruff Library, Atlanta University Center, 1987. http://digitalcommons.auctr.edu/dissertations/3018.
Patel, Arushi Mukesh. "Modular Pattern Installation." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/83566.
Master of Architecture
Barascud, Nicolas. "Auditory pattern detection." Thesis, University College London (University of London), 2014. http://discovery.ucl.ac.uk/1458387/.
Brown, Roberto A. "Shadow Pattern Simulator." DigitalCommons@USU, 1988. https://digitalcommons.usu.edu/etd/5080.
Broms, Engblom Jacob. "Pattern Extraction : Scenarios." Thesis, Kungl. Konsthögskolan, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kkh:diva-505.
Ruzza, Daniel <1993>. "Business model pattern." Master's Degree Thesis, Università Ca' Foscari Venezia, 2018. http://hdl.handle.net/10579/13174.
Sudhir, Arun. "Tree Component Alternatives to the Composite Design Pattern." Thesis, Virginia Tech, 2008. http://hdl.handle.net/10919/36206.
Master of Science
Brooks, Matthew Bryan. "Multistability in bursting patterns in a model of a multifunctional central pattern generator." Atlanta, Ga. : Georgia State University, 2009. http://digitalarchive.gsu.edu/math_theses/73/.
Title from title page (Digital Archive@GSU, viewed July 20, 2010) Andrey Shilnikov, Robert Clewley, Gennady Cymbalyuk, committee co-chairs; Igor Belykh, Vladimir Bondarenko, Mukesh Dhamala, Michael Stewart, committee members. Includes bibliographical references (p. 65-67).
Leatherwood, Daniel Aaron. "Plane wave, pattern subtraction, range compensation for spherical surface antenna pattern measurements." Diss., Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/14683.
YOUSSIF, ROSHDY S. "HYBRID INTELLIGENT SYSTEMS FOR PATTERN RECOGNITION AND SIGNAL PROCESSING." University of Cincinnati / OhioLINK, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1085714219.
Algarni, Abdulmohsen. "Relevance feature discovery for text analysis." Thesis, Queensland University of Technology, 2011. https://eprints.qut.edu.au/48230/1/Abdulmohsen_Algarni_Thesis.pdf.
Smeraldi, Fabrizio. "Attention-driven pattern recognition /." [S.l.] : [s.n.], 2000. http://library.epfl.ch/theses/?nr=2153.
Angstenberger, Larisa. "Dynamic fuzzy pattern recognition." [S.l.] : [s.n.], 2000. http://deposit.ddb.de/cgi-bin/dokserv?idn=962701106.
Chang, Charles Chung 1962. "Partial discharge pattern analysis." Monash University, Dept. of Electrical and Computer Systems Engineering, 2001. http://arrow.monash.edu.au/hdl/1959.1/8400.
Tuckey, Charles E. "Pattern matching in charity." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/mq24702.pdf.
Jagannath, Sandhya. "Utility Guided Pattern Mining." NCSU, 2003. http://www.lib.ncsu.edu/theses/available/etd-11262003-131929/.
Cecchetto, Benjamin Thomas. "Nonlinear blood pattern reconstruction." Thesis, University of British Columbia, 2010. http://hdl.handle.net/2429/29394.
Gold, Ian. "Picture, process, and pattern :." Thesis, McGill University, 1987. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=66148.
Taylor, Moira Ann. "Meal pattern and obesity." Thesis, Queen Mary, University of London, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.309303.
Parrott, J. A. "Pattern formation in soils." Thesis, University of Bristol, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.520596.
Weir, D. K. "Pattern recognition of electrocardiograms." Thesis, University of Ulster, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.355922.
Atcha, Hashim. "Optoelectronic speckle pattern interferometry." Thesis, Cranfield University, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.282405.
Sumner, Robert Walker 1975. "Pattern formation in lichen." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/86757.
Includes bibliographical references (p. 73-76).
by Robert Walker Sumner.
S.M.
Malitsky, Nikolay. "Mutable Class Design Pattern." NSUWorks, 2016. http://nsuworks.nova.edu/gscis_etd/956.
Lundin, Gustav. "Pattern Matching in Encore." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-294513.
Vilo, Jaak. "Pattern discovery from biosequences." Helsinki : University of Helsinki, 2002. http://ethesis.helsinki.fi/julkaisut/mat/tieto/vk/vilo/.
Bowman, Christopher 1969. "Pattern formation and wavelets." Diss., The University of Arizona, 1997. http://hdl.handle.net/10150/288741.
Egbert, Jessica Amber. "Pattern, Ritual and Thresholds." BYU ScholarsArchive, 2016. https://scholarsarchive.byu.edu/etd/5683.
Shie, Bai-En, and 謝百恩. "Mining Sequential Patterns with Pattern Constraints." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/4yw437.
銘傳大學
資訊工程學系碩士班
94
Sequential pattern mining is to find sequential behaviors which most customers frequently do in a transaction database. These behaviors are called sequential patterns. There were many papers proposed algorithms for finding all sequential patterns. However, there is a new problem: users may only need some special sequential patterns, for example, the sequential patterns which include certain items or behaviors. If we let users set the items or patterns which they are interested in before mining process, we will save much execution time and the sequential patterns we found can fit the users'' need. The items or patterns which are preset by users are "pattern constraints." We propose an effective algorithm to find all sequential patterns which fit the constraint from the transaction database. In the experimental results cheaper, we use real dataset and synthetic dataset to compare our algorithm with SPIRIT(R) algorithm and Bit-String algorithm. The results show that although our algorithm used more memory than SPIRIT(R) algorithm during the mining process, our algorithm was faster than SPIRIT(R) algorithm. The results also show that our method not only used less memory space than Bit-String algorithm but also was faster than Bit-String algorithm.