Academic literature on the topic 'Software reconstruction'
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Journal articles on the topic "Software reconstruction"
Rousseau, David. "ATLAS reconstruction software." European Physical Journal C 33, S1 (March 31, 2004): s1038—s1040. http://dx.doi.org/10.1140/epjcd/s2004-03-1805-1.
Full textChevalier, M., R. Cheddadi, and B. M. Chase. "CREST: Climate REconstruction SofTware." Climate of the Past Discussions 10, no. 1 (February 17, 2014): 625–63. http://dx.doi.org/10.5194/cpd-10-625-2014.
Full textCaro, Dann Joel, and Ferdinand Pamintuan. "Application of Open-Source 3D Planning Software in Virtual Reconstruction of Complex Maxillofacial Defects." Philippine Journal of Otolaryngology Head and Neck Surgery 36, no. 2 (November 11, 2021): 30. http://dx.doi.org/10.32412/pjohns.v36i2.1801.
Full textLange, David J. "The CMS Reconstruction Software." Journal of Physics: Conference Series 331, no. 3 (December 23, 2011): 032020. http://dx.doi.org/10.1088/1742-6596/331/3/032020.
Full textBrett, Paul. "Using text reconstruction software." ELT Journal 48, no. 4 (October 1994): 329–36. http://dx.doi.org/10.1093/elt/48.4.329.
Full textD'Ambros, Marco, and Michele Lanza. "Visual software evolution reconstruction." Journal of Software Maintenance and Evolution: Research and Practice 21, no. 3 (May 2009): 217–32. http://dx.doi.org/10.1002/smr.407.
Full textChevalier, M., and B. M. Chase. "CREST – Climate Reconstruction SofTware." Quaternary International 404 (June 2016): 204. http://dx.doi.org/10.1016/j.quaint.2015.08.188.
Full textGanguly, Poulami Somanya, Daniël M. Pelt, Doga Gürsoy, Francesco de Carlo, and K. Joost Batenburg. "Improving reproducibility in synchrotron tomography using implementation-adapted filters." Journal of Synchrotron Radiation 28, no. 5 (August 12, 2021): 1583–97. http://dx.doi.org/10.1107/s1600577521007153.
Full textHou, Ying-Rui, Suzanne Klaver, Sneha Malde, Rosen Matev, Dmitry Popov, and Miroslav Saur. "Monitoring reconstruction software in LHCb." EPJ Web of Conferences 251 (2021): 03044. http://dx.doi.org/10.1051/epjconf/202125103044.
Full textNaumov, A. S. "Fragmented Image Reconstruction Software Development." INFORMACIONNYE TEHNOLOGII 24, no. 7 (July 19, 2018): 487–95. http://dx.doi.org/10.17587/it.24.487-495.
Full textDissertations / Theses on the topic "Software reconstruction"
Knodel, Jens. "Process models for the reconstruction of software architecture views." [S.l. : s.n.], 2002. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB10252225.
Full textCollins, Anthony Leslie. "The tomographic reconstruction of holographic interferograms." Thesis, City University London, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.287671.
Full textStrother, Philip David. "Design and application of the reconstruction software for the BaBar calorimeter." Thesis, Imperial College London, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.314229.
Full textTaylor, Ian James. "Development of T2K 280m near detector software for muon and photon reconstruction." Thesis, Imperial College London, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.505000.
Full textDikmen, Mehmet. "3d Face Reconstruction Using Stereo Vision." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/12607543/index.pdf.
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s face. It is seen that using projection pattern also provided enough feature points to derive 3D face roughly. These points are then used to fit a generic face mesh for a more realistic model. To cover this 3D model, a single texture image is generated from the initial stereo photographs.
Pardoe, Andrew Charles. "Neural network image reconstruction for nondestructive testing." Thesis, University of Warwick, 1996. http://wrap.warwick.ac.uk/44616/.
Full textRen, Yuheng. "Implicit shape representation for 2D/3D tracking and reconstruction." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:c70dc663-ee7c-4100-b492-3a85bf8640d1.
Full textYamada, Randy Matthew. "Identification of Interfering Signals in Software Defined Radio Applications Using Sparse Signal Reconstruction Techniques." Thesis, Virginia Tech, 2013. http://hdl.handle.net/10919/50609.
Full textRadio systems commonly tune hardware manually or use software controls to digitize sub-bands as needed, critically sampling those sub-bands according to the Nyquist criterion. Recent technology advancements have enabled efficient and cost-effective over-sampling of the spectrum, allowing all bandwidths of interest to be captured for processing simultaneously, a process known as band-sampling. Simultaneous access to measurements from all of the frequency sub-bands enables both awareness of the spectrum and seamless operation between radio applications, which is critical to many applications. Further, more information may be obtained for the spectral content of each sub-band from measurements of other sub-bands that could improve performance in applications such as detecting the presence of interference in weak signal measurements.
This thesis presents a new method for confirming the source of detected energy in weak signal measurements by sampling them directly, then estimating their expected effects. First, we assume that the detected signal is located within the frequency band as measured, and then we assume that the detected signal is, in fact, interference perceived as a result of signal aliasing. By comparing the expected effects to the entire measurement and assuming the power spectral density of the digitized bandwidth is sparse, we demonstrate the capability to identify the true source of the detected energy. We also demonstrate the ability of the method to identify interfering signals not by explicitly sampling them, but rather by measuring the signal aliases that they produce. Finally, we demonstrate that by leveraging techniques developed in the field of Compressed Sensing, the method can recover signal aliases by analyzing less than 25 percent of the total spectrum.
Master of Science
Andersson, Sebastian. "Implementation of a reconstruction software and image quality assessment tool for a micro-CT system." Thesis, KTH, Fysik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-183147.
Full textGryshkov, O. P., M. Y. Tymkovych, О. Г. Аврунін, and B. Glasmacher. "Experience of development and use of specialized software intended for automated analysis of alginate structures." Thesis, ХНУРЕ, 2019. http://openarchive.nure.ua/handle/document/8374.
Full textBooks on the topic "Software reconstruction"
Press, Home Builder, ed. Software directory for home builders and remodelers, 1993. Washington, D.C: Home Builder Press, National Association of Home Builders, 1993.
Find full textVinci, Michele. Metodi di calcolo e tecniche di consolidamento per edifici in muratura: Analisi, esempi di calcolo, particolari costruttivi. [Palermo]: Dario Flaccovio, 2012.
Find full textChuvikov, Dmitriy. Models and algorithms for reconstruction and examination of emergency events of road accidents based on logical artificial intelligence. 2nd ed. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1220729.
Full textJones, Allan R. Surface reconstruction from planar contours. 1986.
Find full textTechniques in Operative Orthopaedics: Adult Reconstruction : Pda Software (Techniques in Operative Orthopaedics). C.V. Mosby, 2003.
Find full textBrown, Melissa. Software Directory for Home Builders & Remodelers 1996. Home Builder Pr, 1995.
Find full textBook chapters on the topic "Software reconstruction"
Koschke, Rainer. "Architecture Reconstruction." In Software Engineering, 140–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-95888-8_6.
Full textRiva, Claudio. "Architecture Reconstruction in Practice." In Software Architecture, 159–73. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-0-387-35607-5_10.
Full textGuo, George Yanbing, Joanne M. Atlee, and Rick Kazman. "A Software Architecture Reconstruction Method." In Software Architecture, 15–33. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-0-387-35563-4_2.
Full textErsoy, Ersin, Kamer Kaya, Metin Altınışık, and Hasan Sözer. "Using Hypergraph Clustering for Software Architecture Reconstruction of Data-Tier Software." In Software Architecture, 326–33. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-48992-6_24.
Full textHosokawa, Naofumi, Yuki Sugiura, and Mitsutoshi Setou. "Ion Image Reconstruction Using BioMap Software." In Imaging Mass Spectrometry, 113–26. Tokyo: Springer Japan, 2010. http://dx.doi.org/10.1007/978-4-431-09425-8_9.
Full textPrajapati, Amarjeet, and Zong Woo Geem. "Harmony Search-Enhanced Software Architecture Reconstruction." In Handbook on Artificial Intelligence-Empowered Applied Software Engineering, 87–99. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08202-3_6.
Full textCanteaut, Anne, and Eric Filiol. "Ciphertext only Reconstruction of Stream Ciphers Based on Combination Generators." In Fast Software Encryption, 165–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44706-7_12.
Full textGiani, Simone. "Physics Simulation Software Foundations, Methodology and Functionality." In Molecular Imaging: Computer Reconstruction and Practice, 19–37. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-8752-3_3.
Full textSoltanieh, Amin, and Markus Siegle. "Solving Systems of Bilinear Equations for Transition Rate Reconstruction." In Fundamentals of Software Engineering, 157–72. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-89247-0_11.
Full textSchöning, Julius, and Gunther Heidemann. "Evaluation of Multi-view 3D Reconstruction Software." In Computer Analysis of Images and Patterns, 450–61. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23117-4_39.
Full textConference papers on the topic "Software reconstruction"
Isselmou, O. D., E. Perna, B. Shariat, and D. Vandorpe. "3D Reconstruction Software." In Proceedings of the Second Pacific Conference on Computer Graphics and Applications, Pacific Graphics '94. WORLD SCIENTIFIC, 1994. http://dx.doi.org/10.1142/9789814503860_0020.
Full textTrocino, Daniele, and CMS Collaboration. "The CMS muon reconstruction software." In INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2009: (ICCMSE 2009). AIP, 2012. http://dx.doi.org/10.1063/1.4771870.
Full textAyuso, Catherine. "The Online Reconstruction Software at the E1039/SpinQuest Experiment." In The Online Reconstruction Software at the E1039/SpinQuest Experiment. US DOE, 2020. http://dx.doi.org/10.2172/1771291.
Full textMirakhorli, Mehdi. "Software architecture reconstruction: Why? What? How?" In 2015 IEEE 22nd International Conference on Software Analysis, Evolution and Reengineering (SANER). IEEE, 2015. http://dx.doi.org/10.1109/saner.2015.7081885.
Full textPruijt, Leo, and Wiebe Wiersema. "Software architecture reconstruction and compliance checking." In ECSA '17: 11th European Conference on Software Architecture. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3129790.3129809.
Full textNierstrasz, Oscar, Markus Kobel, Tudor Girba, and Michele Lanza. "Example-Driven Reconstruction of Software Models." In 11th European Conference on Software Maintenance and Reengineering (CSMR'07). IEEE, 2007. http://dx.doi.org/10.1109/csmr.2007.23.
Full textMalet Planas, Albert, Diego Garcia Pinto, Oliver Diaz, Robert Marti Marly, and Josep Fernandez Bayó. "Breast tomosynthesis reconstruction using TIGRE software tool." In Fourteenth International Workshop on Breast Imaging, edited by Elizabeth A. Krupinski. SPIE, 2018. http://dx.doi.org/10.1117/12.2317933.
Full textStrupczewski, Adam, and Błażej Czupryński. "3D reconstruction software comparison for short sequences." In Symposium on Photonics Applications in Astronomy, Communications, Industry and High-Energy Physics Experiments, edited by Ryszard S. Romaniuk. SPIE, 2014. http://dx.doi.org/10.1117/12.2075922.
Full textZukovic, Sanja, Milica Medenica, Irena Orovic, and Srdjan Stankovic. "Synthetic software tool for compressive sensing reconstruction." In 2014 3rd Mediterranean Conference on Embedded Computing (MECO). IEEE, 2014. http://dx.doi.org/10.1109/meco.2014.6862699.
Full textde Jong, Tijmen, and Jan Martijn E. M. van der Werf. "Process-mining based dynamic software architecture reconstruction." In the 13th European Conference. New York, New York, USA: ACM Press, 2019. http://dx.doi.org/10.1145/3344948.3344985.
Full textReports on the topic "Software reconstruction"
O'Brien, Liam, Christoph Stoermer, and Chris Verhoef. Software Architecture Reconstruction: Practice Needs and Current Approaches. Fort Belvoir, VA: Defense Technical Information Center, August 2002. http://dx.doi.org/10.21236/ada407795.
Full textStrother, Philip David. Design and Application of the Reconstruction Software for the BaBar Calorimeter. Office of Scientific and Technical Information (OSTI), July 2006. http://dx.doi.org/10.2172/885541.
Full textEstep, R. J. TGS[underscore]FIT: Image reconstruction software for quantitative, low-resolution tomographic assays. Office of Scientific and Technical Information (OSTI), January 1993. http://dx.doi.org/10.2172/6779008.
Full textEslinger, P. W. Software Development Plan for DESCARTES and CIDER. Hanford Environmental Dose Reconstruction Project: Version 1.0. Office of Scientific and Technical Information (OSTI), December 1992. http://dx.doi.org/10.2172/10124172.
Full textPalomino Gallo, Jose Luis. Tests of the Hardware and Software for the Reconstruction of Trajectories in the Experiment MINERvA. Office of Scientific and Technical Information (OSTI), May 2009. http://dx.doi.org/10.2172/1000270.
Full textHuang, Haohang, Erol Tutumluer, Jiayi Luo, Kelin Ding, Issam Qamhia, and John Hart. 3D Image Analysis Using Deep Learning for Size and Shape Characterization of Stockpile Riprap Aggregates—Phase 2. Illinois Center for Transportation, September 2022. http://dx.doi.org/10.36501/0197-9191/22-017.
Full textKazman, Rick, and S. J. Carriere. Playing Detective: Reconstructing Software Architecture from Available Evidence. Fort Belvoir, VA: Defense Technical Information Center, October 1997. http://dx.doi.org/10.21236/ada330928.
Full textBARKHATOV, NIKOLAY, and SERGEY REVUNOV. A software-computational neural network tool for predicting the electromagnetic state of the polar magnetosphere, taking into account the process that simulates its slow loading by the kinetic energy of the solar wind. SIB-Expertise, December 2021. http://dx.doi.org/10.12731/er0519.07122021.
Full textSoftware requirements specification for the Hanford Environmental Dose Reconstruction Project air pathway environmental accumulation and dose codes. Office of Scientific and Technical Information (OSTI), December 1992. http://dx.doi.org/10.2172/6714771.
Full textSoftware requirements specification for the Hanford Environmental Dose Reconstruction Project air pathway environmental accumulation and dose codes. Office of Scientific and Technical Information (OSTI), December 1992. http://dx.doi.org/10.2172/10117382.
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