Relevant bibliographies by topics / Automatic data generator

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Automatic data generator'

Author: Grafiati
Published: 28 June 2021
Last updated: 29 July 2025

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Journal articles on the topic "Automatic data generator"

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Subhash Kanade, Govind. "Automated Invoice Generator." International Scientific Journal of Engineering and Management 04, no. 06 (2025): 1–9. https://doi.org/10.55041/isjem04053.

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Abstract - This paper presents the design and development of an automated invoice generator using HTML, CSS, and JavaScript. The tool is aimed at small business owners and freelancers who require a quick and efficient way to generate invoices digitally. Key features include dynamic item entry, automatic total calculation, UPI QR payment integration, PDF export, and local data storage. The system does not require a backend server, ensuring fast performance and offline usability. This study explores the front-end technologies used, UI/UX design considerations, and the benefits of automation in f
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Kronawitter, Stefan, Sebastian Kuckuk, Harald Köstler, and Christian Lengauer. "Automatic Data Layout Transformations in the ExaStencils Code Generator." Parallel Processing Letters 28, no. 03 (2018): 1850009. http://dx.doi.org/10.1142/s0129626418500093.

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Performance optimizations should focus not only on the computations of an application, but also on the internal data layout. A well-known problem is whether a struct of arrays or an array of structs results in a higher performance for a particular application. Even though the switch from the one to the other is fairly simple to implement, testing both transformations can become laborious and error-prone. Additionally, there are more complex data layout transformations, such as a color splitting for multi-color kernels in the domain of stencil codes, that are manually difficult. As a remedy, we
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Crooks, P., and R. H. Perrott. "An automatic data distribution generator for distributed memory machines." Concurrency: Practice and Experience 10, no. 8 (1998): 607–29. http://dx.doi.org/10.1002/(sici)1096-9128(199807)10:8<607::aid-cpe330>3.0.co;2-g.

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Abdullah, Muhammad Nur, and Intan Maulina. "Study Sistem Autostart Genset untuk Supply Darurat IRD (Instalasi Rawat Darurat) RS Wahidin Sudirohusodo Tamalanrea Makassar." Elektriese: Jurnal Sains dan Teknologi Elektro 13, no. 02 (2024): 144–59. http://dx.doi.org/10.47709/elektriese.v13i02.3699.

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Jurnal Study Sistem Autostart Genset Untuk supply Darurat IRD bertujuan Untuk Mengetahui penggunaan ATS (Automatic Transfer Switch) dan AMF (Automatic Main Failure) pada Genset sebagai back-up supply energy listrik dapat mengatasi apabila terjadi pemadaman atau gangguan energy listrik di ruang IRD (Instalasi Rawat Darurat), Untuk mengetahui keuntunga-keuntungan dalam pengaplikasian ATS (Automatic Transfer Swich)-AMF (Automatic Main Failure) pada Genset (Generator Set) dapat berjalan secara automatic, Untuk mengetahui cara kerja ATS (Automatic Transfer Switch) dan AMF (Automatic Main Failure) d
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Park, Yo-Han, Yong-Seok Choi, Cheon-Young Park, and Kong-Joo Lee. "EssayGAN: Essay Data Augmentation Based on Generative Adversarial Networks for Automated Essay Scoring." Applied Sciences 12, no. 12 (2022): 5803. http://dx.doi.org/10.3390/app12125803.

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In large-scale testing and e-learning environments, automated essay scoring (AES) can relieve the burden upon human raters by replacing human grading with machine grading. However, building AES systems based on deep learning requires a training dataset consisting of essays that are manually rated with scores. In this study, we introduce EssayGAN, an automatic essay generator based on generative adversarial networks (GANs). To generate essays rated with scores, EssayGAN has multiple generators for each score range and one discriminator. Each generator is dedicated to a specific score and can ge
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Šulc, Stanislav, Vít Šmilauer, and Bořek Patzák. "MUPIF WORKFLOW EDITOR AND AUTOMATIC CODE GENERATOR." Acta Polytechnica CTU Proceedings 26 (March 17, 2020): 107–11. http://dx.doi.org/10.14311/app.2020.26.0107.

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Integrating applications or codes into MuPIF API Model enables easy integration of such APIs into any workflow representing complex multiphysical simulation. This concept of MuPIF also enables automatic code generation of the computational code for given workflow structure. This article describes a ’workflow generator’ tool for the code generation together with ’workflow editor’ graphical interface for interactive definition of the workflow structure and the inner data dependencies. The usage is explained on a thermo-mechanical simulation.
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D, PRABHU. "Automatic Question Paper Generator Using Artificial Intelligence." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem30122.

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This process involves using Natural Language Processing (NLP) techniques, specifically LSTM (Long Short-Term Memory) algorithms, to generate questions from text while ensuring semantic accuracy and syntactic coherence. Unlike tasks such as summarization and paraphrasing, generating questions requires not only understanding the text but also being able to frame questions that elicit specific information, thus necessitating answers. To overcome this challenge, the approach involves several steps. First, the text undergoes preprocessing with NLP techniques to remove irrelevant or redundant inform
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Mohammed, Sura Jasim. "New Algorithm of Automatic Complex Password Generator Employing Genetic Algorithm." JOURNAL OF UNIVERSITY OF BABYLON for Pure and Applied Sciences 26, no. 2 (2018): 295–302. http://dx.doi.org/10.29196/jub.v26i2.546.

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Due to the occurred increasing in information sharing, internet popularization, E-commerce transactions, and data transferring, security and authenticity become an important and necessary subject. In this paper an automated schema was proposed to generate a strong and complex password which is based on entering initial data such as text (meaningful and simple information or not), with the concept of encoding it, then employing the Genetic Algorithm by using its operations crossover and mutation to generated different data from the entered one. The generated password is non-guessable and can be
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Y M, Shriyaa, Sowmiya K, Thamilarasi K, and Sangeetha P. "Question Paper Generator." International Research Journal of Computer Science 11, no. 04 (2024): 278–84. http://dx.doi.org/10.26562/irjcs.2024.v1104.23.

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The automatic question paper generator (AQPG) is a software tool designed to streamline and automate the process of generating examination question papers. It leverages algorithms and databases to create balanced, fair, and diverse sets of questions based on predefined parameters such as topic, difficulty level, and question type. By incorporating machine learning techniques, natural language processing, and data mining, AQPG can analyze vast amounts of educational content to ensure the integrity and quality of the generated questions. This abstract provides an overview of the AQPG system, hig
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Brdjanin, Drazen, Danijela Banjac, Goran Banjac, and Slavko Maric. "Automated two-phase business model-driven synthesis of conceptual database models." Computer Science and Information Systems 16, no. 2 (2019): 657–88. http://dx.doi.org/10.2298/csis181010014b.

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Existing approaches to business process model-driven synthesis of data models are characterized by a direct synthesis of a target model based on source models represented by concrete notations, where the synthesis is supported by monolithic (semi)automatic transformation programs. This article presents an approach to automated two-phase business process model-driven synthesis of conceptual database models. It is based on the introduction of a domain specific language (DSL) as an intermediate layer between different source notations and the target notation, which splits the synthesis into two p
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Dissertations / Theses on the topic "Automatic data generator"

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Kupferschmidt, Benjamin, and Albert Berdugo. "DESIGNING AN AUTOMATIC FORMAT GENERATOR FOR A NETWORK DATA ACQUISITION SYSTEM." International Foundation for Telemetering, 2006. http://hdl.handle.net/10150/604157.

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ITC/USA 2006 Conference Proceedings / The Forty-Second Annual International Telemetering Conference and Technical Exhibition / October 23-26, 2006 / Town and Country Resort & Convention Center, San Diego, California<br>In most current PCM based telemetry systems, an instrumentation engineer manually creates the sampling format. This time consuming and tedious process typically involves manually placing each measurement into the format at the proper sampling rate. The telemetry industry is now moving towards Ethernet-based systems comprised of multiple autonomous data acquisition units, whi
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Zhou, Yu. "AUTOMATIC GENERATION OF WEB APPLICATIONS AND MANAGEMENT SYSTEM." CSUSB ScholarWorks, 2017. https://scholarworks.lib.csusb.edu/etd/434.

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One of the major difficulties in web application design is the tediousness of constructing new web pages from scratch. For traditional web application projects, the web application designers usually design and implement web application projects step by step, in detail. My project is called “automatic generation of web applications and management system.” This web application generator can generate the generic and customized web applications based on software engineering theories. The flow driven methodology will be used to drive the project by Business Process Model Notation (BPMN). Modules of
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Akinci, Arda. "Universal Command Generator For Robotics And Cnc Machinery." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/12610579/index.pdf.

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In this study a universal command generator has been designed for robotics and CNC machinery. Encoding techniques has been utilized in order to represent the commands and their efficiencies have been discussed. The developed algorithm generates the trajectory of the end-effector with linear and circular interpolation in an offline fashion, the corresponding joint states and their error envelopes are computed with the utilization of a numerical inverse kinematic solver with a predefined precision. Finally, the command encoder employs the resulting data and produces the representation of positio
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Naňo, Andrej. "Automatické generování testovacích dat informačních systémů." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2021. http://www.nusl.cz/ntk/nusl-445520.

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ISAGENis a tool for the automatic generation of structurally complex test inputs that imitate real communication in the context of modern information systems . Complex, typically tree-structured data currently represents the standard means of transmitting information between nodes in distributed information systems. Automatic generator ISAGENis founded on the methodology of data-driven testing and uses concrete data from the production environment as the primary characteristic and specification that guides the generation of new similar data for test cases satisfying given combinatorial adequac
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Offutt, Andrew Jefferson VI. "Automatic test data generation." Diss., Georgia Institute of Technology, 1988. http://hdl.handle.net/1853/9167.

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Kraut, Daniel. "Generování modelů pro testy ze zdrojových kódů." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2019. http://www.nusl.cz/ntk/nusl-403157.

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The aim of the masters thesis is to design and implement a tool for automatic generation of paths in source code. Firstly was acquired a study of model based testing and possible design for the desired automatic generator based on coverage criteria defined on CFG model. The main point of the master theis is the tool design and description of its implementation. The tool supports many coverage criteria, which allows the user of such tool to focus on specific artefact of the system under test. Moreover, this tool is tuned to allow aditional requirements on the size of generated test suite, refle
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Cousins, Michael Anthony. "Automated structural test data generation." Thesis, University of Portsmouth, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.261234.

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Holmes, Stephen Terry. "Heuristic generation of software test data." Thesis, University of South Wales, 1996. https://pure.southwales.ac.uk/en/studentthesis/heuristic-generation-of-software-test-data(aa20a88e-32a5-4958-9055-7abc11fbc541).html.

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Incorrect system operation can, at worst, be life threatening or financially devastating. Software testing is a destructive process that aims to reveal software faults. Selection of good test data can be extremely difficult. To ease and assist test data selection, several test data generators have emerged that use a diverse range of approaches. Adaptive test data generators use existing test data to produce further effective test data. It has been observed that there is little empirical data on the adaptive approach. This thesis presents the Heuristically Aided Testing System (HATS), which is
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Ege, Raimund K. "Automatic generation of interfaces using constraints. /." Full text open access at:, 1987. http://content.ohsu.edu/u?/etd,144.

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Kupferschmidt, Benjamin, and Eric Pesciotta. "Automatic Format Generation Techniques for Network Data Acquisition Systems." International Foundation for Telemetering, 2009. http://hdl.handle.net/10150/606089.

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ITC/USA 2009 Conference Proceedings / The Forty-Fifth Annual International Telemetering Conference and Technical Exhibition / October 26-29, 2009 / Riviera Hotel & Convention Center, Las Vegas, Nevada<br>Configuring a modern, high-performance data acquisition system is typically a very timeconsuming and complex process. Any enhancement to the data acquisition setup software that can reduce the amount of time needed to configure the system is extremely useful. Automatic format generation is one of the most useful enhancements to a data acquisition setup application. By using Automatic Format Ge
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Books on the topic "Automatic data generator"

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Yu, Meng-Lin. Automatic random logic layout synthesis: A module generator approach. Dept. of Computer Science, University of Illinois at Urbana-Champaign, 1986.

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Zhang, Jian, Zhiqiang Zhang, and Feifei Ma. Automatic Generation of Combinatorial Test Data. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-43429-1.

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Logunova, Oksana, Petr Romanov, and Elena Il'ina. Processing of experimental data on a computer. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1064882.

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The textbook provides information about the main methods and tools for automating computational processes used in data processing; methods for representing and generating models of experimental data; data models and classification of processing tasks; and the organization of the user interface in automated systems for processing experimental data. Contains structured chapters on the specifics of experimental research. The features of using software for processing experimental data are clearly and logically described. Theoretical material and basic algorithms for processing experimental data us
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Diamant, P. E. Automatic generation of mixed signal test programs from circuitsimulation data. UMIST, 1994.

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Strock, O. J. Telemetry computer systems: The new generation. Instrument Society of America, 1988.

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Ponzetto, Simone Paolo. Knowledge acquisition from a collaboratively generated encyclopedia. IOS Press, 2010.

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Ponzetto, Simone Paolo. Knowledge acquisition from a collaboratively generated encyclopedia. IOS Press, 2010.

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W, Kessler Christoph, ed. Automatic parallelization: New approaches to code generation, data distribution, and performance prediction. Vieweg, 1994.

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Keßler, Christoph W. Automatic Parallelization: New Approaches to Code Generation, Data Distribution, and Performance prediction. Vieweg+Teubner Verlag, 1994.

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Germert, Ed Van. Alternative machine-readable record generation systems. Council of Wisconcin Libraries, 1988.

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Book chapters on the topic "Automatic data generator"

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Angiulli, Fabrizio, Alessandra Del Prete, Fabio Fassetti, and Simona Nisticò. "A Semi-automatic Data Generator for Query Answering." In Lecture Notes in Computer Science. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16564-1_11.

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Holst, Dirk, Daniel Schoepflin, and Thorsten Schüppstuhl. "Generation of Synthetic AI Training Data for Robotic Grasp-Candidate Identification and Evaluation in Intralogistics Bin-Picking Scenarios." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-18326-3_28.

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AbstractRobotic bin picking remains a main challenge for the wide enablement of industrial robotic tasks. While AI-enabled picking approaches are encouraging they repeatedly face the problem of data availability. The scope of this paper is to present a method that combines analytical grasp research with the field of synthetic data creation to generate individual training data for use-cases in intralogistics transportation scenarios. Special attention is given to systematic grasp finding for new objects and unknown geometries in transportation bins and to match the generated data to a real two-
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Pedrosa, Matheus V. A., Patrick Scheffe, Bassam Alrifaee, and Kathrin Flaßkamp. "Designing Maneuver Automata of Motion Primitives for Optimal Cooperative Trajectory Planning." In Cooperatively Interacting Vehicles. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-60494-2_8.

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AbstractTrajectory planning techniques form a central step to enable autonomous driving. The motion primitives method generates an automaton of precomputed maneuvers with structure-exploiting properties. Thereby, the trajectory planning problem can be reduced to finding an admissible/optimal sequence of motion primitives. In this chapter, we present ways to designing maneuver automata based on different system models and on either analytical or data-based approaches for automaton generation. Moreover, numerical methods for computing optimal maneuvers are listed and we discuss graph-based plann
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Barga, Roger S., and Luciano A. Digiampietri. "Automatic Generation of Workflow Provenance." In Provenance and Annotation of Data. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11890850_1.

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Liang, Yuan, Song-Hai Zhang, and Ralph Robert Martin. "Automatic Data-Driven Room Design Generation." In Next Generation Computer Animation Techniques. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69487-0_10.

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Pinto, Fábio, Carlos Soares, and João Mendes-Moreira. "Towards Automatic Generation of Metafeatures." In Advances in Knowledge Discovery and Data Mining. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31753-3_18.

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Barroso, Marta, Daniel Hinjos, Pablo A. Martin, Marta Gonzalez-Mallo, Victor Gimenez-Abalos, and Sergio Alvarez-Napagao. "Boosting AutoML and XAI in Manufacturing: AI Model Generation Framework." In Artificial Intelligence in Manufacturing. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-46452-2_19.

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AbstractThe adoption of AI in manufacturing enables numerous benefits that can significantly impact productivity, efficiency, and decision-making processes. AI algorithms can optimize production schedules, inventory management, and supply chain operations by analyzing historical data and producing demand forecasts. In spite of these benefits, some challenges such as integration, lack of data infrastructure and expertise, and resistance to change need to be addressed for the industry to successfully adopt AI. To overcome these issues, we introduce the AI Model Generation framework (AMG), able t
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Zhang, Jian, Zhiqiang Zhang, and Feifei Ma. "Introduction to Combinatorial Testing." In Automatic Generation of Combinatorial Test Data. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45919-5_1.

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Zhang, Jian, Zhiqiang Zhang, and Feifei Ma. "Mathematical Construction Methods." In Automatic Generation of Combinatorial Test Data. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45919-5_2.

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Zhang, Jian, Zhiqiang Zhang, and Feifei Ma. "One Test at a Time." In Automatic Generation of Combinatorial Test Data. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45919-5_3.

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Conference papers on the topic "Automatic data generator"

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Srinivasan, Sridhar, Russell D. Kane, and James W. Skogsberg. "Automated Material Selection and Equipment Specification System for Oil and Gas Production: Concept, Development, Implementation." In CORROSION 2003. NACE International, 2003. https://doi.org/10.5006/c2003-03134.

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Abstract A software system was developed, integrating existing corrosion prediction and alloy selection software tools with company specific data and procurement procedures / guidelines, and product specific petroleum industry guidelines. This software system automates the generation of procurement specifications for comprehensive wellhead trims and Christmas tree components. Wellhead ordering requirements are generated as a function of multiple corrosion and material characterization parameters, and the system also generates specifications for sub-surface safety valves and production tubing.
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Syahaneim, Raja Asilah Hazwani, Nur Wahida, Siti Intan Shafikah, Zuraini, and Puteri Nor Ellyza. "Automatic Artificial Data Generator: Framework and implementation." In 2016 International Conference on Information and Communication Technology (ICICTM). IEEE, 2016. http://dx.doi.org/10.1109/icictm.2016.7890777.

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Ohki, Hidehiro, Moriyuki Shirazawa, Keiji Gyohten, Naomichi Sueda, and Seiki Inoue. "Sport Data Animating - An Automatic Animation Generator from Real Soccer Data." In 2009 International Conference on Complex, Intelligent and Software Intensive Systems (CISIS). IEEE, 2009. http://dx.doi.org/10.1109/cisis.2009.185.

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Cosulschi, Mirel, Adrian Giurca, Bogdan Udrescu, Nicolae Constantinescu, and Mihai Gabroveanu. "HTML Pattern Generator--Automatic Data Extraction from Web Pages." In 2006 Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing. IEEE, 2006. http://dx.doi.org/10.1109/synasc.2006.43.

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Deb Nath, Rudra Pratap, Hanif Seddiqui, and Masaki Aono. "A novel automatic property weight generator for semantic data integration." In 2013 16th International Conference on Computer and Information Technology (ICCIT). IEEE, 2014. http://dx.doi.org/10.1109/iccitechn.2014.6997311.

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Lmati, Imane, Habib Benlahmar, and Naceur Achtaich. "Towards an automatic generator of mathematical exercises based on semantic." In BDCA'17: 2nd international Conference on Big Data, Cloud and Applications. ACM, 2017. http://dx.doi.org/10.1145/3090354.3090356.

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Malhotra, Ruchika, Poornima, and Nitish Kumar. "Automatic test data generator: A tool based on search-based techniques." 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.2016.7785020.

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Carlo, Stefano Di, Giulio Gambardella, Marco Indaco, Daniele Rolfo, and Paolo Prinetto. "MarciaTesta: An Automatic Generator of Test Programs for Microprocessors' Data Caches." In 2011 IEEE 20th Asian Test Symposium (ATS). IEEE, 2011. http://dx.doi.org/10.1109/ats.2011.78.

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Cayeux, E., R. Mihai, R. V. Herikstad, K. K. Olsen, K. Antosz, and M. Pham. "Code Generation of Automatic Drilling Control System Functions with Embedded Verification and Validation Functionalities." In SPE/IADC International Drilling Conference and Exhibition. SPE, 2025. https://doi.org/10.2118/223716-ms.

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Abstract Over the past decade, the adoption of drilling process automation solutions has significantly enhanced drilling operation efficiency. This improvement has been achieved because Drilling Control System (DCS) providers have enabled external service companies to offer dynamic advice that can be used to parameterize Automatic Drilling Control System (ADCS) functions. However, developing externally managed ADCS functions poses challenges, particularly given the risk of potential failures due to spurious parameters. Therefore, it is essential to find a method to ensure that an ADCS function
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Li, Jiakai, Yangle Liu, and Zheng Rong. "Automated Generation of Parking Data Sets for Underground Car Parks." In 2024 International Conference on Smart Transportation Interdisciplinary Studies. SAE International, 2025. https://doi.org/10.4271/2025-01-7191.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;The advancement of autonomous driving perception frequently necessitates the aggregation of data, its subsequent annotation, the implementation of training procedures, and other related activities. In contrast, the utilisation of synthetic data obviates the necessity for data collection, annotation, and the generation of accurate and reliable labels. Its incorporation into the development process is anticipated to streamline the entire algorithmic development process. In this study, we propose a novel approach utilising
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Reports on the topic "Automatic data generator"

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Kolawa, A., B. Strickland, and A. Hicken. Automatic Test Data Generation Tool for Large- Scale Software Systems. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada289081.

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Lasko, Kristofer, and Elena Sava. Semi-automated land cover mapping using an ensemble of support vector machines with moderate resolution imagery integrated into a custom decision support tool. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42402.

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Land cover type is a fundamental remote sensing-derived variable for terrain analysis and environmental mapping applications. The currently available products are produced only for a single season or a specific year. Some of these products have a coarse resolution and quickly become outdated, as land cover type can undergo significant change over a short time period. In order to enable on-demand generation of timely and accurate land cover type products, we developed a sensor-agnostic framework leveraging pre-trained machine learning models. We also generated land cover models for Sentinel-2 (
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Cai, Hubo, JungHo Jeon, Xin Xu, Yuxi Zhang, and Liu Yang. Automating the Generation of Construction Checklists. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317273.

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Construction inspection is a critical component of INDOT’s quality assurance (QA) program. Upon receiving an inspection notice/assignment, INDOT inspectors review the plans and specifications to identify the construction quality requirements and conduct their inspections accordingly. This manual approach to gathering inspection requirements from textual documents is time-consuming, subjective, and error-prone. This project addresses this critical issue by developing an inspection requirements database along with a set of tools to automatically gather the inspection requirements and provide fie
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Berney, Ernest, Andrew Ward, and Naveen Ganesh. First generation automated assessment of airfield damage using LiDAR point clouds. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40042.

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This research developed an automated software technique for identifying type, size, and location of man-made airfield damage including craters, spalls, and camouflets from a digitized three-dimensional point cloud of the airfield surface. Point clouds were initially generated from Light Detection and Ranging (LiDAR) sensors mounted on elevated lifts to simulate aerial data collection and, later, an actual unmanned aerial system. LiDAR data provided a high-resolution, globally positioned, and dimensionally scaled point cloud exported in a LAS file format that was automatically retrieved and pro
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Lasko, Kristofer, Francis O’Neill, and Elena Sava. Automated mapping of land cover type within international heterogenous landscapes using Sentinel-2 imagery with ancillary geospatial data. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49367.

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A near-global framework for automated training data generation and land cover classification using shallow machine learning with low-density time series imagery does not exist. This study presents a methodology to map nine-class, six-class, and five-class land cover using two dates of a Sentinel-2 granule across seven international sites. The approach uses a series of spectral, textural, and distance decision functions combined with modified ancillary layers to create binary masks from which to generate a balanced set of training data applied to a random forest classifier. For the land cover m
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Berney, Ernest, Jami Lynn Daugherty, and Lulu Edwards. Validation of the automatic dynamic cone penetrometer. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/44704.

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The U.S. military requires a rapid means of measuring subsurface soil strength for construction and repair of expeditionary pavement surfaces. Traditionally, a dynamic cone penetrometer (DCP) has served this purpose, providing strength with depth profiles in natural and prepared pavement surfaces. To improve upon this device, the Engineer Research and Development Center (ERDC) validated a new battery-powered automatic dynamic cone penetrometer (A-DCP) apparatus that automates the driving process by using a motor-driven hammering cap placed on top of a traditional DCP rod. The device improves u
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Treadwell, Jonathan R., James T. Reston, Benjamin Rouse, Joann Fontanarosa, Neha Patel, and Nikhil K. Mull. Automated-Entry Patient-Generated Health Data for Chronic Conditions: The Evidence on Health Outcomes. Agency for Healthcare Research and Quality (AHRQ), 2021. http://dx.doi.org/10.23970/ahrqepctb38.

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Background. Automated-entry consumer devices that collect and transmit patient-generated health data (PGHD) are being evaluated as potential tools to aid in the management of chronic diseases. The need exists to evaluate the evidence regarding consumer PGHD technologies, particularly for devices that have not gone through Food and Drug Administration evaluation. Purpose. To summarize the research related to automated-entry consumer health technologies that provide PGHD for the prevention or management of 11 chronic diseases. Methods. The project scope was determined through discussions with Ke
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Chamberlain, C. A., and K. Lochhead. Data modeling as applied to surveying and mapping data. Natural Resources Canada/CMSS/Information Management, 1988. http://dx.doi.org/10.4095/331263.

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The Geodetic Survey Division of the Canada Centre for Surveying is replacing the National Geodetic Data Base (NGDB) with the National Geodetic Information System (NGIS). For the NGIS to be successful, it was recognized that a sound, well engineered data mode was essential. The methodology chosen to design the data mode! was Nijssen's Information Analysis Methodology (NIAM), a binary modeling technique that is supported by a Computer Aided Software Engineering (CASE) tool, PC-IAST. An NGIS prototype has also been developed using Digital Equipment of Canada's Relational Database (Rdb) management
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Chien, Stanley, Lauren Christopher, Yaobin Chen, Mei Qiu, and Wei Lin. Integration of Lane-Specific Traffic Data Generated from Real-Time CCTV Videos into INDOT's Traffic Management System. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317400.

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The Indiana Department of Transportation (INDOT) uses about 600 digital cameras along populated Indiana highways in order to monitor highway traffic conditions. The videos from these cameras are currently observed by human operators looking for traffic conditions and incidents. However, it is time-consuming for the operators to scan through all video data from all the cameras in real-time. The main objective of this research was to develop an automatic and real-time system and implement the system at INDOT to monitor traffic conditions and detect incidents automatically. The Transportation and
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Thomson, S. MINE DESIGNER - an automated graphical data generation program integrating numerical modelling with the mine design process. Natural Resources Canada/CMSS/Information Management, 1993. http://dx.doi.org/10.4095/328895.

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