Relevant bibliographies by topics / Automaticky generator dat

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

Academic literature on the topic 'Automaticky generator dat'

Author: Grafiati
Published: 28 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Automaticky generator dat"

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Liu, Ming, Rafael A. Calvo, and Vasile Rus. "G-Asks: An Intelligent Automatic Question Generation System for Academic Writing Support." Dialogue & Discourse 3, no. 2 (2012): 101–24. http://dx.doi.org/10.5087/dad.2012.205.

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Many electronic feedback systems have been proposed for writing support. However, most of these systems only aim at supporting writing to communicate instead of writing to learn, as in the case of literature review writing. Trigger questions are potentially forms of support for writing to learn, but current automatic question generation approaches focus on factual question generation for reading comprehension or vocabulary assessment. This article presents a novel Automatic Question Generation (AQG) system, called G-Asks, which generates specific trigger questions as a form of support for students' learning through writing. We conducted a large-scale case study, including 24 human supervisors and 33 research students, in an Engineering Research Method course at The University of Sydney and compared questions generated by G-Asks with human generated question. The results indicate that G-Asks can generate questions as useful as human supervisors (`useful' is one of five question quality measures) while significantly outperforming Human Peer and Generic Questions in most quality measures after filtering out questions with grammatical and semantic errors. Furthermore, we identified the most frequent question types, derived from the human supervisors' questions and discussed how the human supervisors generate such questions from the source text.
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Agarwal, Sumesh, Shubham Gupta, and Nitish Sabharwal. "Automatic Test Data Generation-Achieving Optimality Using Ant-Behaviour." International Journal of Information and Education Technology 6, no. 2 (2016): 117–21. http://dx.doi.org/10.7763/ijiet.2016.v6.669.

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Protsko, I. O., та R. Rykmas. "Автоматичне генерування ефективних алгоритмів ДКП-II на основі циклічних згорток". Computer systems and network 1, № 1 (2017): 120–24. http://dx.doi.org/10.23939/csn2017.881.120.

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Cytron, R., M. Hind, and W. Hsieh. "Automatic generation of DAG parallelism." ACM SIGPLAN Notices 24, no. 7 (1989): 54–68. http://dx.doi.org/10.1145/74818.74823.

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Taha, Lamyaa Gamal EL-Deen, A. I. Ramzi, A. Syarawi, and A. Bekheet. "Urban Feature Extraction from Merged Airborne LiDAR Data and Digital Camera Data." Geoplanning: Journal of Geomatics and Planning 7, no. 2 (2021): 57–74. http://dx.doi.org/10.14710/geoplanning.7.2.57-74.

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Until recently, the most highly accurate digital surface models were obtained from airborne lidar. With the development of a new generation of large format digital photogrammetric aerial camera, a fully digital photogrammetric workflow became possible. Digital airborne images are sources for elevation extraction and orthophoto generation. This research concerned with the generation of digital surface models and orthophotos as applications from high-resolution images. In this research, the following steps were performed. A Benchmark data of LIDAR and digital aerial camera have been used. Firstly, image orientation, AT have been performed. Then the automatic digital surface model DSM generation has been produced from the digital aerial camera. Thirdly true digital ortho has been generated from the digital aerial camera also orthoimage will be generated using LIDAR digital elevation model (DSM). Leica Photogrammetric Suite (LPS) module of Erdsa Imagine 2014 software was utilized for processing. Then the resulted orthoimages from both techniques were mosaicked. The results show that automatic digital surface model DSM that been produced from digital aerial camera method has very high dense photogrammetric 3D point clouds compared to the LIDAR 3D point clouds. It was found that the true orthoimage produced from the second approach is better than the true orthoimage produced from the first approach. The five approaches were tested for classification of the best-orthorectified image mosaic using subpixel based (neural network) and pixel-based ( minimum distance and maximum likelihood).Multicues were extracted such as texture(entropy-mean),Digital elevation model, Digital surface model ,normalized digital surface model (nDSM) and intensity image. The contributions of the individual cues used in the classification have been evaluated. It was found that the best cue integration is intensity (pan) +nDSM+ entropy followed by intensity (pan) +nDSM+mean then intensity image +mean+ entropy after that DSM )image and two texture measures (mean and entropy) followed by the colour image. The integration with height data increases the accuracy. Also, it was found that the integration with entropy texture increases the accuracy. Resulted in fifteen cases of classification it was found that maximum likelihood classifier is the best followed by minimum distance then neural network classifier. We attribute this to the fine resolution of the digital camera image. Subpixel classifier (neural network) is not suitable for classifying aerial digital camera images.
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Liu, Xi Kang, Jian Hai Zhang, Rong Gang Yin, and Qiong Yang. "Mesh Generation for Arch Dam Abutment Slip Block Based on Virtual Grid." Applied Mechanics and Materials 170-173 (May 2012): 1954–61. http://dx.doi.org/10.4028/www.scientific.net/amm.170-173.1954.

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Abstract. In order to generate mesh for arch dam abutment slip block automatically, virtual grid method is proposed based on grid-based automatic generation algorithm. The proposed algorithm avoids generating initial grid in one time, but intersects the model with a series of plane sections firstly. Then form initial grid by using vector intersection method for adjacent sections. By modifying initial grid, a layer of mesh is formed. The algorithm proposed can better adapt to complex topography and generates hexahedral meshes for the block of arch dam abutment automatically. The method can present data for limit equilibrium analysis and numerical calculation method such as finite element method. Based on original topography and structural plane data, the automatic identification, generation and meshing of arch dam abutment block is accomplished.
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Riou, Matthieu, Bassam Jabaian, Stéphane Huet, and Fabrice Lefèvre. "Reinforcement adaptation of an attention-based neural natural language generator for spoken dialogue systems." Dialogue & Discourse 10, no. 1 (2019): 1–19. http://dx.doi.org/10.5087/dad.2019.101.

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Following some recent propositions to handle natural language generation in spoken dialogue systems with long short-term memory recurrent neural network models~\citep{Wen2016a} we first investigate a variant thereof with the objective of a better integration of the attention subnetwork. Then our next objective is to propose and evaluate a framework to adapt the NLG module online through direct interactions with the users. When doing so the basic way is to ask the user to utter an alternative sentence to express a particular dialogue act. But then the system has to decide between using an automatic transcription or to ask for a manual transcription. To do so a reinforcement learning approach based on an adversarial bandit scheme is retained. We show that by defining appropriately the rewards as a linear combination of expected payoffs and costs of acquiring the new data provided by the user, a system design can balance between improving the system's performance towards a better match with the user's preferences and the burden associated with it. Then the actual benefits of this system is assessed with a human evaluation, showing that the addition of more diverse utterances allows to produce sentences more satisfying for the user.
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Suhanto, Suhanto. "SIMULASI AUTOMATIC TRANSFER SWITCH DAN AUTOMATIC MAINS FAILURE DENGAN PLC OMRON SYSMAC CP1E." Journal of Mechanical Engineering and Mechatronics 4, no. 1 (2019): 27. http://dx.doi.org/10.33021/jmem.v4i1.662.

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<p>Electric power supply is the main requirement of equipment at the airport, therefore the reliability of the supply of power supplies is a top priority to support flight services. In addition to PLN as the main power supply the generator is used to supply a backup power supply. Automatic Transfer Switch (ATS) and Automatic Mains Failure (AMF) control systems are needed to regulate the switching of power supplies from PLN to Genset or vice versa. The ATS and AMF control systems use the Omron Sysmac CP1E PLC with a display using Easy Builder 8000 from Weintek which functions as an ATS and AMF monitor and control. Test results on ATS and AMF in manual and automatic modes, the system runs well.<br />Keywords. Automatic Transfer Switch (ATS), Automatic Mains Failure (AMF), PLC</p>
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Li, Yu He, Xin Li Bai, and Han Han Sun. "Parametric Drawing Based Optimal Design of Aqueduct Structure." Applied Mechanics and Materials 90-93 (September 2011): 2746–49. http://dx.doi.org/10.4028/www.scientific.net/amm.90-93.2746.

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In the optimal design of large prestressed aqueduct structure, the optimal design results need to be automatically drawn. In this paper, the parametric drawing method is proposed by combining high-level programming language FORTRAN and Auto LISP, and developed a designing system of mixed programming using FORTRAN and Auto LISP. The programming system is applied to the optimal design process of large prestressed aqueduct with rectangle and U-shaped cross-section. The optimal design result is automatically transformed into visual graphics (documents), therefore realized the automatic drawing. In this way, designers’ graphics labor intensity and repeated, complicated calculation can be reduced and the design cycle can shorten. Data files (*.DAT) and graphics files (*.LISP) can be generated not only by FORTRAN, but also by other high-level programming languages such as C++, VC etc.
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Danlos, Laurence, Katerina Rysova, Magdalena Rysova, and Manfred Stede. "Primary and secondary discourse connectives: definitions and lexicons." Dialogue & Discourse 9, no. 1 (2018): 50–78. http://dx.doi.org/10.5087/dad.2018.102.

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Starting from the perspective that discourse structure arises from the presence of coherence relations, we provide a map of linguistic discourse structuring devices (DRDs), and focus on those for written text. We propose to structure these items by differentiating between primary and secondary connectives on the one hand, and free connecting phrases on the other. For the former, we propose that their behavior can be described by lexicons, and we show one concrete proposal that by now has been applied to three languages, with others being added in ongoing work. The lexical representations can be useful both for humans (theoretical investigations, transfer to other languages) and for machines (automatic discourse parsing and generation).
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Dissertations / Theses on the topic "Automaticky generator dat"

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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 adequacy criteria. The main contribution of this thesis is a comprehensive proposal of automated data generation techniques together with an implementation, which demonstrates their usage. The created solution enables testers to create more relevant testing data, representing production-like communication in information systems.
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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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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 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, which share a single global time source. The architecture of these network systems greatly simplifies the task of implementing an automatic format generator. Automatic format generation eliminates much of the effort required to create a sampling format because the instrumentation engineer only has to specify the desired sampling rate for each measurement. The system handles the task of organizing the format to comply with the specified sampling rates. This paper examines the issues involved in designing an automatic format generator for a network data acquisition system.
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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 an adaptive test data generator that uses several heuristics. A heuristic embodies a test data generation technique. Four heuristics have been developed. The first heuristic, Direct Assignment, generates test data for conditions involving an input variable and a constant. The Alternating Variable heuristic determines a promising direction to modify input variables, then takes ever increasing steps in this direction. The Linear Predictor heuristic performs linear extrapolations on input variables. The final heuristic, Boundary Follower, uses input domain boundaries as a guide to locate hard-to-find solutions. Several Ada procedures have been tested with HATS; a quadratic equation solver, a triangle classifier, a remainder calculator and a linear search. Collectively they present some common and rare test data generation problems. The weakest testing criterion HATS has attempted to satisfy is all branches. Stronger, mutation-based criteria have been used on two of the procedures. HATS has achieved complete branch coverage on each procedure, except where there is a higher level of control flow complexity combined with non-linear input variables. Both branch and mutation testing criteria have enabled a better understanding of the test data generation problems and contributed to the evolution of heuristics and the development of new heuristics. This thesis contributes the following to knowledge: Empirical data on the adaptive heuristic approach to test data generation. How input domain boundaries can be used as guidance for a heuristic. An effective heuristic termination technique based on the heuristic's progress. A comparison of HATS with random testing. Properties of the test software that indicate when HATS will take less effort than random testing are identified.
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Fawzy, Kamel Menatalla Ashraf. "A Method for Automatic Generation of Metadata." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-177400.

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The thesis introduces a study about the different ways of generating metadata and implementing them in web pages. Metadata are often called data about data. In web pages, metadata holds the information that might include keywords, a description, author, and other information that helps the user to describe and explain an information resource in order to use, manage and retrieve data easily. Since web pages depend significantly on metadata to increase the traffic in search engines, studying the different methods of generation of metadata is an important issue. Generation of metadata can be made both manually and automatically. The aim of the research is to show the results of applying different methods including a new proposed method of generating automatic metadata using a qualitative study. The goal of the research is to show the enhancement achieved by applying the new proposed method of generating metadata automatically that are implemented in web pages.<br>Uppsatsen presenterar en studie om olika sätt att generera metadata och genomföra dem på webbsidor. Metadata kallas ofta data om data eller information om information som innehåller den information som hjälper användaren att beskriva, förklara och hitta en informationskälla för att kunna använda, hantera och hämta data enkelt. Eftersom webbsidor är märkbart beroende av metadata för att öka trafiken i sökmotorer, att studera olika metoder för skapandet av metadata är en viktig fråga. Skapande av metadata kan ske både manuellt och automatiskt. Syftet med forskningen är att visa resultaten av tillämpningen av olika metoder inklusive en ny föreslagen metod för att generera automatiska metadata med hjälp av en kvalitativ studie. Målet med forskningen är att visa förbättringen som uppnås genom den nya föreslagna metoden för att generera metadata automatisk som genomförs på webbsidor.
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Alam, Mohammad Saquib. "Automatic generation of critical driving scenarios." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-288886.

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Despite the tremendous development in the autonomous vehicle industry, the tools for systematic testing are still lacking. Real-world testing is time-consuming and above all, dangerous. There is also a lack of a framework to automatically generate critical scenarios to test autonomous vehicles. This thesis develops a general framework for end- to- end testing of an autonomous vehicle in a simulated environment. The framework provides the capability to generate and execute a large number of traffic scenarios in a reliable manner. Two methods are proposed to compute the criticality of a traffic scenario. A so-called critical value is used to learn the probability distribution of the critical scenario iteratively. The obtained probability distribution can be used to sample critical scenarios for testing and for benchmarking a different autonomous vehicle. To describe the static and dynamic participants of urban traffic scenario executed by the simulator, OpenDrive and OpenScenario standards are used.<br>Trots den enorma utvecklingen inom den autonoma fordonsindustrin saknas fortfarande verktygen för systematisk testning. Verklig testning är tidskrävande och framför allt farlig. Det saknas också ett ramverk för att automatiskt generera kritiska scenarier för att testa autonoma fordon. Denna avhandling utvecklar en allmän ram för end-to-end- test av ett autonomt fordon i en simulerad miljö. Ramverket ger möjlighet att generera och utföra ett stort antal trafikscenarier på ett tillförlitligt sätt. Två metoder föreslås för att beräkna kritiken i ett trafikscenario. Ett så kallat kritiskt värde används för att lära sig sannolikhetsfördelningen för det kritiska scenariot iterativt. Den erhållna sannolikhetsfördelningen kan användas för att prova kritiska scenarier för testning och för benchmarking av ett annat autonomt fordon. För att beskriva de statiska och dynamiska deltagarna i stadstrafikscenariot som körs av simulatorn används OpenDrive och OpenScenario-standarder.
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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 Generation, an instrumentation engineer can significantly reduce the amount of time that is spent configuring the system while simultaneously gaining much greater flexibility in creating sampling formats. This paper discusses several techniques that can be used to generate sampling formats automatically while making highly efficient use of the system's bandwidth. This allows the user to obtain most of the benefits of a hand-tuned, manually created format without spending excessive time creating it. One of the primary techniques that this paper discusses is an enhancement to the commonly used power-of-two rule, for selecting sampling rates. This allows the system to create formats that use a wider variety of rates. The system is also able to handle groups of related measurements that must follow each other sequentially in the sampling format. This paper will also cover a packet based formatting scheme that organizes measurements based on common sampling rates. Each packet contains a set of measurements that are sampled at a particular rate. A key benefit of using an automatic format generation system with this format is the optimization of sampling rates that are used to achieve the best possible match for each measurement's desired sampling rate.
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Yu, Xingjiang. "OSM-Based Automatic Road Network Geometries Generation on Unity." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264903.

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Nowadays, while 3D city reconstruction has been widely used in important topics like urban design and traffic simulation, frameworks to efficiently model large-scale road network based on data from the real world are of high interests. However, the diversity of the form of road networks is still a challenge for automatic reconstruction, and the information extracted from input data can highly determine the final effect to display. In this project, OpenStreetMap data is chosen as the only input of a three-stage method to efficiently generate a geometric model of the associated road network in varied forms. The method is applied to datasets from cities in the real world of different scales, rendered and presented the generated models on Unity3D platform, and compared them with the original road networks in both the quality and topology aspects. The results suggest that our method can reconstruct the features of original road networks in common cases such as three-way, four-way intersections, and roundabouts while consuming much shorter time than manual modeling in a large-scale urban scene. This framework contributes to an auxiliary tool for quick city traffic system reconstruction of multiple purposes, while there still being space of improvement for the modeling universality and quality of the method.
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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 the project are: database, web server, HTML page, functionality, financial analysis model, customer, and BPMN. The BPMN is the most important section of this entire project, due to the BPMN flow engine that most of the work and data flow depends on the engine. There are two ways to deal with the project. One way is to go to the main page, then to choose one web app template, and click the generating button. The other way is for the customers to request special orders. The project then will give suitable software development methodologies to follow up. After a software development life cycle, customers will receive their required product.
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Books on the topic "Automaticky generator dat"

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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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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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Automatic mesh generation: Application to finite element methods. J. Wiley, 1991.

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

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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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Australian Data Fusion Symposium (1st 1996 Adelaide, Australia). First Australian Data Fusion Symposium: ADFS-96 Adelaide, Australia, November 21-22, 1996. Institute of Electrical and Electronics Engineers, 1996.

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Book chapters on the topic "Automaticky generator dat"

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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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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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Zhang, Jian, Zhiqiang Zhang, and Feifei Ma. "The IPO Family." In Automatic Generation of Combinatorial Test Data. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45919-5_4.

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Zhang, Jian, Zhiqiang Zhang, and Feifei Ma. "Evolutionary Computation and Metaheuristics." In Automatic Generation of Combinatorial Test Data. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45919-5_5.

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Zhang, Jian, Zhiqiang Zhang, and Feifei Ma. "Backtracking Search." In Automatic Generation of Combinatorial Test Data. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45919-5_6.

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Zhang, Jian, Zhiqiang Zhang, and Feifei Ma. "Tools and Benchmarks." In Automatic Generation of Combinatorial Test Data. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45919-5_7.

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Zhang, Jian, Zhiqiang Zhang, and Feifei Ma. "Other Related Topics." In Automatic Generation of Combinatorial Test Data. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45919-5_8.

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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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Conference papers on the topic "Automaticky generator dat"

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Ren, Hao, Wentao Mo, Shuo Liu, Dong Li, Yang Sun, and Guang Zhao. "Code Automation Technology Based COSINE Software Development." In ASME 2013 Power Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/power2013-98109.

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Source code automatic generation technology can improve software development’s quality and productivity significantly. However, the existing code generators cannot satisfy nuclear power software development demand. This paper analyzes development feature of scientific computing software and develops a FORTRAN Code Generator (FCG) using C# language. FCG can generate program variables definition FORTRAN source code automatically according to input metadata. FCG also can generate memory allocation source code for dynamic variables in program. Besides, FCG can generate data access interface for global variables in code. Right now, FCG has been applied to source code development of COSINE (Core and System Integrated Engine for design and analysis) software package. Development practice has proved that FCG can improve development efficiency of nuclear power software greatly.
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Shteingart, S., A. W. Nagle, and J. Grason. "RTG: Automatic Register Level Test Generator." In 22nd ACM/IEEE Design Automation Conference. IEEE, 1985. http://dx.doi.org/10.1109/dac.1985.1586041.

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Seljimi, Besnik, and Ioannis Parissis. "Automatic generation of test data generators for synchronous programs." In Workshop. ACM Press, 2007. http://dx.doi.org/10.1145/1294921.1294923.

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Lin, Yun-Jing, Meng-Jung Lee, Yu-Lan Lo, and Shu-Yi Kao. "Automatic mixed-signal behavioral model generation environment." In 2016 International Symposium on VLSI Design, Automation and Test (VLSI-DAT). IEEE, 2016. http://dx.doi.org/10.1109/vlsi-dat.2016.7482549.

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Feklisov, Egor, Mihail Zinderenko, and Vladimir Frolov. "Procedural interior generation for artificial intelligence training and computer graphics." In International Conference "Computing for Physics and Technology - CPT2020". Bryansk State Technical University, 2020. http://dx.doi.org/10.30987/conferencearticle_5fce2771c14fa7.77481925.

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Since the creation of computers, there has been a lingering problem of data storing and creation for various tasks. In terms of computer graphics and video games, there has been a constant need in assets. Although nowadays the issue of space is not one of the developers' prime concerns, the need in being able to automate asset creation is still relevant. The graphical fidelity, that the modern audiences and applications demand requires a lot of work on the artists' and designers' front, which costs a lot. The automatic generation of 3D scenes is of critical importance in the tasks of Artificial Intelligent (AI) robotics training, where the amount of generated data during training cannot even be viewed by a single person due to the large amount of data needed for machine learning algorithms. A completely separate, but nevertheless necessary task for an integrated solution, is furniture generation and placement, material and lighting randomisation. In this paper we propose interior generator for computer graphics and robotics learning applications. The suggested framework is able to generate and render interiors with furniture at photo-realistic quality. We combined the existing algorithms for generating plans and arranging interiors and then finally add material and lighting randomization. Our solution contains semantic database of 3D models and materials, which allows generator to get realistic scenes with randomization and per-pixel mask for training detection and segmentation algorithms.
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Chen, Yifan, Paul Stewart, Anne Marsan, Huaicai Mo, and Basavaraj Tonshal. "A Mesh Feature Paradigm for Rapid Generation of CAE-Based Design of Experiments Data." In ASME 2002 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/detc2002/dac-34102.

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CAE-Based simulation and Design of Experiments (DoE) are becoming mature and increasingly effective in development of complex industrial products such as automobiles. We present in this paper a CAE mesh-modeling paradigm that ultimately led to fast, automatic generation of a family of meshes based on a base design. This paradigm is hinged on the so-called mesh features to achieve productivity for modeling CAE meshes. Mesh features are self-contained mesh deformation operations that are context-free, stored separately from the base model, and can be applied to the model in a proper mix at any time. Libraries of mesh features can also be established to archive useful features for future use. Furthermore, by assigning mesh features for DoE factors, one can specify for the system the proper way to assemble features and apply them automatically to the base model to generate input meshes for a DoE study. Automatic generation of a family of DoE input meshes results in maximum time savings and minimum chances for errors, especially for applications involving large-scale CAE models.
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Salagame, Raviprakash R. "Automated Shape Optimization Using Parametric Solid Models and p-Adaptive Finite Element Analysis." In ASME 1997 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/detc97/dac-3762.

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Abstract A shape optimization capability which is fully integrated with geometry data is developed in this paper. A key feature of the system is the direct use of parametric solid model as the primary design model for shape optimization. This choice leads to a tight coupling between optimization and geometry, a highly desirable feature for an automated design environment. The approach exploits the parametric engine of the solid modeler to update the geometry at the end of each iteration. Responses are generated using polyFEM, a p-adaptive solver supported by a fully automatic three dimensional p-element mesh generator. It is illustrated that the use of p-adaptive technology and parametrized solid model assist us in achieving a high degree of automation.
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Chong, Yee Jern, and Sri Parameswaran. "Automatic Application Specific Floating-point Unit Generation." In Design, Automation & Test in Europe Conference. IEEE, 2007. http://dx.doi.org/10.1109/date.2007.364635.

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Arya, A., V. V. Swaminathan, A. Misra, and A. Kumar. "Automatic Generation of Digital System Schematic Diagrams." In 22nd ACM/IEEE Design Automation Conference. IEEE, 1985. http://dx.doi.org/10.1109/dac.1985.1585970.

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Budrevicius, Julius Donatas, Lina Papšienė, and Giedrė Beconytė. "Automatic Generalization of Cartographic Data for Multi-scale Maps Representations." In Environmental Engineering. VGTU Technika, 2017. http://dx.doi.org/10.3846/enviro.2017.169.

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The multi-scale base map compiled from the official 1:10 000 framework data is served as the background in the national geoportal map browser. High expectations of the users of this map – both up-to-datedness and comfort of use – are pressing to search for more efficient methods to generate it preserving highest cartographic quality. There are two ways towards that: (a) automated generalization of the georeference base dataset into smaller scale datasets that are then used as sources for the multi-scale web map and (b) automated cartographic generalization of the single source dataset into multi-scale map layers (used in Lithuanian geoportal). As it is commonly believed that generation of Web map layers from separately generalised data sources is more appropriate, the authors performed a research in order to compare the two methods in terms of precision of representations, efficiency of update and communicative quality of the resulting maps. Some procedures that allow for improvement of visualization quality when the second method is used are discussed in the paper. The main conclusion drawn from the research is that a multi-scale map generated by means of cartographic generalization can for many applications successfully replace multi-scale map generated from separately generalized data sources.
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Reports on the topic "Automaticky generator dat"

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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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Bentley, Jennifer A., Megan Kregel, and Kyra Bellrichard. Midwest Dairy Day Focuses on Automatic Calf Feeders: Feeding the Next Generation. Iowa State University, 2017. http://dx.doi.org/10.31274/ans_air-180814-317.

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Arhin, Stephen, Babin Manandhar, Hamdiat Baba Adam, and Adam Gatiba. Predicting Bus Travel Times in Washington, DC Using Artificial Neural Networks (ANNs). Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.1943.

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Washington, DC is ranked second among cities in terms of highest public transit commuters in the United States, with approximately 9% of the working population using the Washington Metropolitan Area Transit Authority (WMATA) Metrobuses to commute. Deducing accurate travel times of these metrobuses is an important task for transit authorities to provide reliable service to its patrons. This study, using Artificial Neural Networks (ANN), developed prediction models for transit buses to assist decision-makers to improve service quality and patronage. For this study, we used six months of Automatic Vehicle Location (AVL) and Automatic Passenger Counting (APC) data for six Washington Metropolitan Area Transit Authority (WMATA) bus routes operating in Washington, DC. We developed regression models and Artificial Neural Network (ANN) models for predicting travel times of buses for different peak periods (AM, Mid-Day and PM). Our analysis included variables such as number of served bus stops, length of route between bus stops, average number of passengers in the bus, average dwell time of buses, and number of intersections between bus stops. We obtained ANN models for travel times by using approximation technique incorporating two separate algorithms: Quasi-Newton and Levenberg-Marquardt. The training strategy for neural network models involved feed forward and errorback processes that minimized the generated errors. We also evaluated the models with a Comparison of the Normalized Squared Errors (NSE). From the results, we observed that the travel times of buses and the dwell times at bus stops generally increased over time of the day. We gathered travel time equations for buses for the AM, Mid-Day and PM Peaks. The lowest NSE for the AM, Mid-Day and PM Peak periods corresponded to training processes using Quasi-Newton algorithm, which had 3, 2 and 5 perceptron layers, respectively. These prediction models could be adapted by transit agencies to provide the patrons with accurate travel time information at bus stops or online.
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