Academic literature on the topic 'Basis of data'

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Journal articles on the topic "Basis of data"

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Kumar, Gagan, and Vinay Chopra. "Automatic Test Data Generation for Basis Path Testing." Indian Journal Of Science And Technology 15, no. 41 (2022): 2151–61. http://dx.doi.org/10.17485/ijst/v15i41.1503.

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Dwi Lestari, Rizky, Rasqia Nurzulia Tryadriani, Alviona Terry Dominica, and Ermatita . "SISTEM BASIS DATA PERPUSTAKAAN." Jurnal Sistem Informasi dan Aplikasi (JSIA) 1, no. 1 (2023): 71–79. http://dx.doi.org/10.52958/jsia.v1i1.6449.

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Sistem Basis Data Perpustakaan adalah sebuah sistem informasi yang
 dirancang untuk mengelola dan menyimpan informasi mengenai koleksi buku, data peminjaman, anggota perpustakaan, dan informasi lainnya. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem basis data perpustakaan menggunakan XAMPP. Metodologi penelitian melibatkan identifikasi kebutuhan dan tujuan sistem informasi perpustakaan, analisis dan perancangan basis data, penentuan skema basis data, implementasi basis data, pengujian dan validasi, serta evaluasi dan pemeliharaan. Dalam perancangan basis data, en
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Budi Utomo, Aditya, Khamidudin Azzakiy, and Hendrik Hendrik. "PEMETAAN BASIS DATA RELASIONAL MENJADI BASIS DATA RDF UNTUK SISTEM PEREKOMENDASI KOLEKSI PERPUSTAKAAN." Teknoin 20, no. 4 (2014): 1–10. http://dx.doi.org/10.20885/teknoin.vol20.iss4.art4.

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Sholeh, Muhammad, RR Yuliana Rachmawati, and Erma Susanti. "Pemodelan Basis data Graph dengan Neo4j (Studi Kasus : Basis Data Sistem Informasi Penjualan pada UMKM)." Jurnal Teknologi Informasi dan Terapan 7, no. 1 (2020): 25–32. http://dx.doi.org/10.25047/jtit.v7i1.129.

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Penelitian ini mengimplementasikan penyimpanan data dengan menggunakan basis data graph. Basis data graph merupakan salah satu kategori dari basis data noSQL. Dalam basis data model SQL data dibentuk dalam tabel –tabel yang terdiri dari baris dan kolom, sedangkan pada basis data model NoSQL data tidak memiliki skema standar yang harus didefinisikan. NoSql merupakan sistem manajemen basis data yang tidak mempunyai atau mematuhi aturan tertentu seperti pada model sistem manajemen basis data relasional. NoSQL memiliki skema yang dinamis sedangkan pada database SQL mengikuti skema yang telah ditet
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Maharani, Anggita. "Perancangan Data Base Kasir Menggunakan MongoDB." Jurnal Data Mining dan Sistem Informasi 3, no. 1 (2022): 19. http://dx.doi.org/10.33365/jdmsi.v3i1.1939.

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Istilah NoSQL di dunia IT sudah mulai terkenal di bidang basis data. Basis data SQL dan NoSQL memilki perbedaan yang cukup signifikan.Model data yang digunakan basis data SQL yaitu berupa tabel, yang tersusun atas baris dan kolom. Basis data SQL manapun pasti model data yang sama dalam menyimpan arsip datanya, yaitu melalui tabel. Hal ini berbeda dengan basis data NoSQL. No SQL memilki arti non SQL atau not only SQL yang artinya ditujukan pada penggunaan model data alternatif selain tabular (relasi antar tabel). Tergantung basis datanya, basis data NoSQL bisa berupa dokumen, grafik ataupun nil
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Renaldi, Renaldi, Billy Cahyo Santoso, Youzy Natasya, Steven Willian, and Fladianand Alfando. "Tinjauan Pustaka Sistematis terhadap Basis Data MongoDB." Jurnal Inovasi Informatika 5, no. 2 (2020): 132–42. http://dx.doi.org/10.51170/jii.v5i2.79.

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Istilah NoSQL di dunia IT sudah mulai terkenal di bidang basis data. Basis data SQL dan NoSQL memilki perbedaan yang cukup signifikan.Model data yang digunakan basis data SQL yaitu berupa tabel, yang tersusun atas baris dan kolom. Basis data SQL manapun pasti model data yang sama dalam menyimpan arsip datanya, yaitu melalui tabel. Hal ini berbeda dengan basis data NoSQL. No SQL memilki arti non SQL atau not only SQL yang artinya ditujukan pada penggunaan model data alternatif selain tabular (relasi antar tabel). Tergantung basis datanya, basis data NoSQL bisa berupa dokumen, grafik ataupun nil
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Basna, Rani, Hiba Nassar, and Krzysztof Podgórski. "Data driven orthogonal basis selection for functional data analysis." Journal of Multivariate Analysis 189 (May 2022): 104868. http://dx.doi.org/10.1016/j.jmva.2021.104868.

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van Damme, Eric, Inge Graef, and Wolf Sauter. "Machtsmisbruik op basis van big data." Markt en Mededinging 21, no. 3 (2018): 124–34. http://dx.doi.org/10.5553/menm/138762362018021003006.

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Putri, Novi Indah, Yudi Herdiana, Zen Munawar, and Dadad Zainal Musadad. "KEAMANAN BASIS DATA BERDASARKAN TEORI HIMPUNAN." Infotronik : Jurnal Teknologi Informasi dan Elektronika 6, no. 2 (2021): 56. http://dx.doi.org/10.32897/infotronik.2021.6.2.695.

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Banyaknya data yang tersimpan dalam basis data maka penting bagi organisasi untuk mengamankan data dalam basis data. Organisasi perlu memastikan keamanan dan kerahasiaan data, olleh sebab itu organisasi mengimplementasikan aplikasi dan sistem yang menyediakan layanan, fungsi, dan alat untuk pengelolaan dan pemeliharaan data. Penelitian ini menyampaikan masalah keamanan yang muncul dalam basis data yang tidak tepat berdasarkan teori himpunan. Dalam penelitian ini bertujuan menyelidiki area keamanan untuk basis data kasar, yang memiliki masalah keamanan yang mirip dengan basis data statistik. As
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Ruliah, Ruliah, Bahar Bahar, and Andita Suci Pratiwi. "PENGEMBANGAN DESAIN PEMBELAJARAN SISTEM BASIS DATA." Instruksional 2, no. 2 (2021): 7. http://dx.doi.org/10.24853/instruksional.2.2.7-17.

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Instructional design plays an important role in improving the quality of learning and the learning experience of students. But in fact, many universities (especially in the field of Information Technology) have not developed a structured learning design, so that the learning process becomes ineffective. This paper presents a database system learning design model using the Borg and Gall step 1 development model and adapting all stages in the Dick and Carey model. The research consists of four main stages: conducting a preliminary study to find information about the learning product to be develo
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Dissertations / Theses on the topic "Basis of data"

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Du, Toit Wilna. "Radial basis function interpolation." Thesis, Stellenbosch : Stellenbosch University, 2008. http://hdl.handle.net/10019.1/2002.

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Thesis (MSc (Applied Mathematics))--Stellenbosch University, 2008.<br>A popular method for interpolating multidimensional scattered data is using radial basis functions. In this thesis we present the basic theory of radial basis function interpolation and also regard the solvability and stability of the method. Solving the interpolant directly has a high computational cost for large datasets, hence using numerical methods to approximate the interpolant is necessary. We consider some recent numerical algorithms. Software to implement radial basis function interpolation and to display the
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Körner, Matthias. "Ermittlung von Vollsperrungen auf Basis von Floating Car Data." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-132546.

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Die Kenntnis von Straßensperrungen ist wesentliche Randbedingung bei der privaten Disposition von Fahrten als auch der Entscheidungsfindung von Baulastträgern zu Verkehrslenkungsmaßnahmen. Zur Nutzbarmachung von Sperrinformationen bietet sich zuerst die Etablierung geeigneter Schnittstellen zum administrativen Prozess an. Dass dieser Weg noch nicht breitenwirksam Umsetzung gefunden hat, liegt oft im Aufwand bei der Anpassung komplexer Verwaltungsabläufe und -systeme begründet. Um trotzdem mit einer großen räumlichen Abdeckung und hoher Aktualität Sperrinformationen zu erschließen, wurde ein An
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Langdell, Stephen James. "Radial basis function networks for modelling real world data." Thesis, University of Huddersfield, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.285590.

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Körner, Matthias. "Ermittlung von Vollsperrungen auf Basis von Floating Car Data." Technische Universität Dresden, 2013. https://tud.qucosa.de/id/qucosa%3A27462.

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Die Kenntnis von Straßensperrungen ist wesentliche Randbedingung bei der privaten Disposition von Fahrten als auch der Entscheidungsfindung von Baulastträgern zu Verkehrslenkungsmaßnahmen. Zur Nutzbarmachung von Sperrinformationen bietet sich zuerst die Etablierung geeigneter Schnittstellen zum administrativen Prozess an. Dass dieser Weg noch nicht breitenwirksam Umsetzung gefunden hat, liegt oft im Aufwand bei der Anpassung komplexer Verwaltungsabläufe und -systeme begründet. Um trotzdem mit einer großen räumlichen Abdeckung und hoher Aktualität Sperrinformationen zu erschließen, wurde ein An
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Triastuti, Sugiyarto Endang. "Analysing rounding data using radial basis function neural networks model." Thesis, University of Northampton, 2007. http://nectar.northampton.ac.uk/2809/.

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Unspecified counting practices used in a data collection may create rounding to certain ‘based’ number that can have serious consequences on data quality. Statistical methods for analysing missing data are commonly used to deal with the issue but it could actually aggravate the problem. Rounded data are not missing data, instead some observations were just systematically lumped to certain based numbers reflecting the rounding process or counting behaviour. A new method to analyse rounded data would therefore be academically valuable. The neural network model developed in this study fills the g
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Körner, Matthias, Jürgen Krimmling, and Robert Oertel. "Automatische vektorbezogene Generierung von Straßennetzabbildern auf Basis von Floating Car Data." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-91830.

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Straßen-Knoten-Netze als modelliertes Abbild der Straßeninfrastruktur bilden die Grundlage für eine Vielzahl von Diensten und Anwendungen. Die Verortung von Fahrzeugen, aber auch die Verkehrsumlegung, basieren darauf. Die Ermittlung optimaler Routen und die Visualisierung der Verkehrslage werden ermöglicht. Die resultierenden Anforderungen an das Netzabbild sind vielfältig und deren Bewältigung mit nicht unerheblichem Aufwand verbunden. Kernpunkte sind Genauigkeit, Aktualität und Flächendeckung. Ferner werden geringe Kosten bei dessen Erstellung angestrebt. Als Ergänzung zu manueller Digitalis
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Gu, Huanhuan. "Computed basis functions for finite element analysis based on tomographic data." Thesis, McGill University, 2012. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=107699.

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This thesis proposes a novel way to find the electromagnetic fields when the computational domain is defined by a fine grid of pixels (2D) or voxels (3D). This happens quite often in bioelectromagnetic problems, since tissue shapes are usually obtained by tomography.The proposed method is a finite element method in which, in 3D, each element is simply a set of p × p × p voxels, where p is an integer. It therefore avoids the heavy burden of surface extraction and meshing. Since there may be multiple materials within one element, conventional basis functions are not suitable. Instead, basis func
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Rowland, Roger Steven. "Fast registration of medical imaging data using optimised radial basis functions." Thesis, University of East Anglia, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.441604.

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Crampton, Andrew. "Radial basis and support vector machine algorithms for approximating discrete data." Thesis, University of Huddersfield, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.273723.

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The aim of this thesis is to demonstrate how the versatility of radial basis functions can be used to construct algorithms for approximating discrete sets of scattered data. In many cases, these algorithms have been constructed by blending together existing methods or by extending algorithms that exploit certain properties of a particular basis function to include certain radial functions. In the later chapters, we shall see that methods which currently use radial basis functions can be made more efficient by considering a change to the existing methods of solution. In chapter one we introduce
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Aguilar, David P. "A radial basis neural network for the analysis of transportation data." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000515.

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Books on the topic "Basis of data"

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Indonesia. Menteri Negara Riset dan Teknologi. and Pusat Dokumentasi dan Informasi Ilmiah (Indonesia), eds. Teknologi tepat guna: Basis data Warintek. RISTEK-ATM PRO, 2001.

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Lian, Yuming. Data Rights Law 1.0: The Theoretical Basis. Peter Lang International Academic Publishers, 2019.

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Proyek Evaluasi dan Perencanaan Sumberdaya Kelautan (Mataram, Indonesia), ed. Laporan basis data sosial ekonomi dan lingkungan. Pemerintah Propinsi Daerah Tingkat I Nusa Tenggara Barat, Badan Perencanaan Pembangunan Daerah, 1995.

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Indonesia. Badan Koordinasi Keluarga Berencana Nasional. Data basis keluarga: Manfaatnya bagi pembangunan daerah. Badan Koordinasi Keluarga Berencana Nasional, 2003.

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Sigit, Sukmono, and Proyek Pengelolaan Kapal Riset Baruna Jaya I, II, III (Indonesia), eds. Sistem management basis data program Baruna Jaya. Proyek Pengelolaan Kapal Riset Baruna Jaya I, II, dan III, Direktorat Teknologi Inventarisasi Sumberdaya Alam, Deputi Bidang Pengembangan Kekayaan Alam, Badan Pengkajian dan Penerapan Teknologi, 1994.

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König, Wolfgang. Informationstechnologie der Zukunft: Basis strategischer DV-Planung. Physica, 1986.

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Major, Friedrich W. Benutzergetriebene Modellierung als Basis der Entwicklung dedizierter Arbeitsplanungssysteme. C. Hanser, 1990.

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Bézier, Pierre. The mathematical basis of the UNISURF CAD systems. Butterworths, 1986.

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Daerah, Kalimantan Barat (Indonesia) Badan Lingkungan Hidup. Basis data lingkungan hidup daerah Kalimantan Barat, tahun 2009. Badan Lingkungan Hidup Daerah, Provinsi Kalimantan Barat, 2009.

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Lampung (Indonesia). Badan Pengendalian Dampak Lingkungan Daerah., ed. Basis data lingkungan hidup daerah Provinsi Lampung, tahun 2005. Pemerintah Propinsi Lampung, Badan Pengendalian Dampak Lingkungan Daerah, 2006.

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Book chapters on the topic "Basis of data"

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Montegranario, Hebert, and Jairo Espinosa. "Radial Basis Functions." In Variational Regularization of 3D Data. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-0533-1_8.

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Lang, Frieder R., Stephan Lessenich, and Klaus Rothermund. "Procedures and Data Basis." In Ageing as Future. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-57507-5_2.

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AbstractThe Ageing as Future project combined and used a variety of multidisciplinary, multicultural, multimethodological, and longitudinal approaches. The chapter provides an overview of the approach and the process of the surveys of the various subprojects in Germany, the USA, Hong Kong and also in Taiwan and the Czech Republic.
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Mertens, Peter, and Hans Wilhelm Wieczorrek. "Informatikstrategien als Basis von Anwendungskonzeptionen." In Data X Strategien. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-57091-9_3.

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Iske, Armin. "Radial Basis Functions." In Multiresolution Methods in Scattered Data Modelling. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-18754-4_3.

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Braga, A., A. C. Carvalho, T. Ludermir, M. de Almeida, and E. Lacerda. "Radial Basis Functions Networks." In Modelling and Forecasting Financial Data. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0931-8_8.

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Knöpfle, Christian, and Jens Schiefele. "Data Preparation on Polygonal Basis." In Computer Graphics: Systems and Applications. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-46847-6_5.

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Christiaans, Lena. "Research Methodology and Data Basis." In International Employer Brand Management. Springer Fachmedien Wiesbaden, 2012. http://dx.doi.org/10.1007/978-3-658-00456-9_4.

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Hobbach, Raphaela. "Research Design and Data Basis." In European Solidarity. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76175-2_3.

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Cleophas, Ton J., and Aeilko H. Zwinderman. "Functional Data Analysis (FDA) Basis." In Regression Analysis in Medical Research. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-61394-5_25.

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Chinesta, Francisco, Elías Cueto, Victor Champaney, et al. "Proper Orthogonal Decomposition and Reduced Basis." In Studies in Big Data. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-87572-4_23.

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Conference papers on the topic "Basis of data"

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Chen, B., Z. Zhang, D. Xia, E. Y. Sidky, and X. Pan. "Combining the basis-region data mode with the volume conservation constraint for reconstructing multiple basis materials from DECT data." In 2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD). IEEE, 2024. http://dx.doi.org/10.1109/nss/mic/rtsd57108.2024.10656755.

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Phakathi, Lungisani. "ATLAS Tile Calorimeter Temperature Data Analysis on a Continuous Basis." In Technology & Instrumentation in Particle Physics. Sissa Medialab, 2025. https://doi.org/10.22323/1.468.0042.

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Germerdonk, Klaus, Timothy Marston, and Andreas Pfanger. "Inspection Data Management Challenge and Basis of Efficient Risk Management." In CORROSION 1999. NACE International, 1999. https://doi.org/10.5006/c1999-99535.

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Abstract New generation inspection tools are able to accurately detect and size every anomaly which may cause a risk for the safe operation of the pipeline. Pipetronix' experience is that many pipeline inspections with intelligent tools reveal a vast number of anomalies, especially in older pipelines. In many cases, only a few of these are actually serious and affect the integrity of the pipeline at the moment. Immediate remedial action is generally focused on the limited number of most severe defects. Consecutive inline inspections allow an indication of any corrosion growth along the pipelin
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Vidal, Nicolas, Qian Gong, Viktor Reshniak, Rick Archibald, and Scott Klasky. "Tuning the Interpolation Basis in a Multigrid Decomposition for Local Error Control." In 2024 IEEE International Conference on Big Data (BigData). IEEE, 2024. https://doi.org/10.1109/bigdata62323.2024.10825507.

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Chen, Buxin, Zheng Zhang, Dan Xia, Emil Y. Sidky, and Xiaochuan Pan. "Reconstructing multiple basis images directly from dual-energy CT data using the basis-region model and volume conservation constraint." In Physics of Medical Imaging, edited by John M. Sabol, Shiva Abbaszadeh, and Ke Li. SPIE, 2025. https://doi.org/10.1117/12.3047156.

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Jin, Yijie, and Ping Yang. "Network Information Transmission Security Situation Awareness Algorithm on Basis of Data Analysis." In 2024 International Conference on Data Science and Network Security (ICDSNS). IEEE, 2024. http://dx.doi.org/10.1109/icdsns62112.2024.10691277.

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Hintemann, Ralph, Simon Hinterholzer, and Fedor Konrat. "Server Stock Data — A Basis for Determining the Energy and Resource Requirements of Data Centres." In 2024 Electronics Goes Green 2024+ (EGG). IEEE, 2024. http://dx.doi.org/10.23919/egg62010.2024.10631194.

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Amelio, Alessia, Alberto Apostolico, and Simona E. Rombo. "Image Compression by 2D Motif Basis." In 2011 Data Compression Conference (DCC). IEEE, 2011. http://dx.doi.org/10.1109/dcc.2011.22.

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Mergel, Dieter, Peter Hansen, and Detlef Raasch. "Physical basis of magneto-optic recording." In Optical Data Storage Topical Meeting, edited by Donald B. Carlin, David B. Kay, and Alfred A. Franken. SPIE, 1992. http://dx.doi.org/10.1117/12.137548.

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Stoyanova, Miglena, Julian Vasilev, and Marian Cristescu. "Big data in property management." In THERMOPHYSICAL BASIS OF ENERGY TECHNOLOGIES (TBET 2020). AIP Publishing, 2021. http://dx.doi.org/10.1063/5.0041902.

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Reports on the topic "Basis of data"

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Fagt, S., LF Andersen, HE Barbieri, et al. The Nordic Monitoring System: Basis for decision on 3rd data collection. Nordic Council of Ministers, 2021. http://dx.doi.org/10.6027/na2021-906.

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Smalley. L51984 Engine-Compressor Performance Data Normalization. Pipeline Research Council International, Inc. (PRCI), 2003. http://dx.doi.org/10.55274/r0011172.

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This report defines methods for normalizing parameters which relate to performance and integrity of compression equipment. As a basis for normalization, the project compares each parameter as recorded or derived during operation to a corresponding expected value. The report presents a method to characterize operational behavior by mapping, and by linear regression to develop a model which predicts the expected value as a function of certain independent variables. The report discusses active and passive options for mapping. The project has focused considerable attention on the choice of both de
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Francke, Angela, Sven Lißner, and Anke Juliane. Big Data im Radverkehr : Teil II. Technische Universität Dresden, 2021. http://dx.doi.org/10.26128/2021.241.

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Die Nutzung verfügbarer Radverkehrsdaten auf GPS-Basis stellt eine preisgünstige Möglichkeit für Kommunen dar, einen Überblick über das Nutzungsverhalten ihrer Radfahrenden zu erhalten. Mit den vorliegenden Ergebnissen soll eine Lücke bei der Interpretation von GPS-basierten Daten geschlossen werden. Die Radfahrtypologie auf Basis des geäußerten Verhaltens kann dabei helfen, GPS-Daten auch ohne detaillierte Kenntnisse der zugrundeliegenden Nutzergruppen zielgenauer zu interpretieren. Damit können zukünftig Kommunen die Potenziale entstehender oder bereits vorhandener Angebote an GPS-Radverkehr
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Best, Cody, Carl Hart, and Michael Muhlestein. Data acquisition software for impedance tube measurements. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45740.

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Transmission impedance tube measurements are necessary to measure the asymmetric acoustic property known as Willis coupling. However, software is required to measure and store data from an impedance tube for acoustic material characterization. This report details the overall structure of custom-developed software built from low-level functions. Software libraries from the data acquisition system as well as the HDF5 file system are the basis for the code. A command line user interface guides a user through the necessary steps in data collection.
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Холошин, Ігор Віталійович, Ірина Миколаївна Варфоломєєва, Олена Вікторівна Ганчук, Ольга Володимирівна Бондаренко, and Андрій Валерійович Пікільняк. Pedagogical techniques of Earth remote sensing data application into modern school practice. CEUR-WS.org, 2018. http://dx.doi.org/10.31812/123456789/3257.

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Abstract. The article dwells upon the Earth remote sensing data as one of the basic directions of Geo-Information Science, a unique source of information on processes and phenomena occurring in almost all spheres of the Earth geographic shell (atmosphere, hydrosphere, lithosphere, etc.). The authors argue that the use of aerospace images by means of the information and communication technologies involvement in the learning process allows not only to increase the information context value of learning, but also contributes to the formation of students’ cognitive interest in such disciplines as g
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Kholoshyn, Ihor V., Iryna M. Varfolomyeyeva, Olena V. Hanchuk, Olga V. Bondarenko, and Andrey V. Pikilnyak. Pedagogical techniques of Earth remote sensing data application into modern school practice. [б. в.], 2019. http://dx.doi.org/10.31812/123456789/3262.

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The article dwells upon the Earth remote sensing data as one of the basic directions of Geo-Information Science, a unique source of information on processes and phenomena occurring in almost all spheres of the Earth geographic shell (atmosphere, hydrosphere, lithosphere, etc.). The authors argue that the use of aerospace images by means of the information and communication technologies involvement in the learning process allows not only to increase the information context value of learning, but also contributes to the formation of students’ cognitive interest in such disciplines as geography,
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Carrol. PR-214-05502-R01 Application of Fatigue Analysis Procedures Using Pipeline SCADA Data. Pipeline Research Council International, Inc. (PRCI), 2007. http://dx.doi.org/10.55274/r0011248.

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Fatigue life prediction for in-service pipelines can vary considerably, with one of the prime sources of variability being the pipeline operating pressure data typically captured and archived using a Supervisor Control and Data Acquisition (SCADA) system. SCADA systems may operate differently from one system to another and the records can be significantly different on the basis of the operational parameter sampling technique. Operating pressure data is a key input into integrity analysis for pipelines containing defects. BMT Fleet has collected close to 200 pressure data sets and has been inve
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Hendricks, Ginny, and Rachael Lammey. Crossref acquires Retraction Watch data and opens it for the scientific community. Crossref, 2023. http://dx.doi.org/10.13003/c23rw1d9.

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Agreement to combine and publicly distribute data about tens of thousands of retracted research papers, and grow the service together. The Center for Scientific Integrity, the organisation behind the Retraction Watch blog and database, and Crossref, the global infrastructure underpinning research communications, both not-for-profits, announced today that the Retraction Watch database has been acquired by Crossref and made a public resource. An agreement between the two organisations will allow Retraction Watch to keep the data populated on an ongoing basis and always open, alongside publishers
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MCCAIN, D. J. An analysis of tank and pump pit flammable gas data in support of saltwater pumping safety basis simplification. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/804242.

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Narcowich, Francis J. Surface-Fitting and Analysis of Scattered Data via Radial and Related Basis Functions with Applications to Neural Networks. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada389069.

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