Academic literature on the topic 'Graphic User Interface Testing Automation Model'

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Journal articles on the topic "Graphic User Interface Testing Automation Model"

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Kabari, Ledisi Giok, and Marcus B. Chigoziri. "Speech Recognition Using MATLAB and Cross-Correlation Technique." European Journal of Engineering Research and Science 4, no. 8 (2019): 1–3. http://dx.doi.org/10.24018/ejers.2019.4.8.1437.

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Speech is a prominent communication method among humans, whereas the communication between human and computers were based on text user interface and graphic user interface. Speech recognition is used in almost every security project where you need to speak and tell your password to computer and is also used for automation. This paper demonstrates a model that enhances technological advancement where humans and computers interact via voice user interface. In developing the model, cross correlation was implemented in MATLAB to compare two or more signals and detect the most accurate one of the all. We are actually used cross correlation to find similarity between our recorded Signal files and the testing signal. Thus we were able to develop a model where machines can differentiate between commands and act upon them.
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Kabari, Ledisi Giok, and Marcus B. Chigoziri. "Speech Recognition Using MATLAB and Cross-Correlation Technique." European Journal of Engineering and Technology Research 4, no. 8 (2019): 1–3. http://dx.doi.org/10.24018/ejeng.2019.4.8.1437.

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Speech is a prominent communication method among humans, whereas the communication between human and computers were based on text user interface and graphic user interface. Speech recognition is used in almost every security project where you need to speak and tell your password to computer and is also used for automation. This paper demonstrates a model that enhances technological advancement where humans and computers interact via voice user interface. In developing the model, cross correlation was implemented in MATLAB to compare two or more signals and detect the most accurate one of the all. We are actually used cross correlation to find similarity between our recorded Signal files and the testing signal. Thus we were able to develop a model where machines can differentiate between commands and act upon them.
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Liu, Xin. "Research on Graphic User Interface Automation Testing Technology Based on Cloud Platform." Journal of Physics: Conference Series 1345 (November 2019): 052082. http://dx.doi.org/10.1088/1742-6596/1345/5/052082.

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Ratov, Denis. "INTEGRATION WITH THE SOFTWARE INTERFACE OF THE COM SERVER FOR AUTHORIZED USER." Applied Computer Science 17, no. 2 (2021): 5–13. http://dx.doi.org/10.35784/acs-2021-09.

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The article is devoted to the development of a software controller for automation of access to tools and object model of the multifunctional graphic editor Adobe Photoshop. The work of the graphic editor is initiated in the form of a COM object, which contains methods available to the software controller through the COM interface, which allows the software to use the functionality of the editor. To restrict unauthorized access, a software authorization control protocol is proposed, which is based on the use of binding to the computer hardware and encryption by a 128-bit MD5 public key hashing algorithm.
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Straszak, Tomasz, and Michał Śmiałek. "Model-driven acceptance test automation based on use cases." Computer Science and Information Systems 12, no. 2 (2015): 707–28. http://dx.doi.org/10.2298/csis141217033s.

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Acceptance testing is highly dependent on the formulation of requirements, as the final system is tested against user requirements. It is thus highly desirable to be able to automate transition from requirements to acceptance tests. In this paper we present a model-driven approach to this issue, where detailed use case models are transformed into test cases. Importantly, our approach facilitates synchronising functional test cases with other types of tests (non-functional, domain logic, user interface) and introducing test data. This leads to a unified approach where requirements models of various kind drive the acceptance testing process. This process is parallel to the development process which also involves automatic transformations from requirements models to software development artefacts (models and code). To show validity of the approach we present a case study which uses a new tool called ReDSeT, that transforms requirements formulated in the Requirements Specification Language (RSL) into tests in a newly proposed Test Specification Language (TSL).
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Hariyadi, Dedy, Fazlurrahman Fazlurrahman, and Hendro Wijayanto. "Bangkolo: Aplikasi Vulnerability Identification Berbasis Hybrid Apps." Cyber Security dan Forensik Digital 3, no. 1 (2020): 39–44. http://dx.doi.org/10.14421/csecurity.2020.3.1.2027.

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Keamanan merupakan hal penting dalam sistem maupun jaringan dalam melindungi data informasi. Tingginya tingkat laporang celah keamanan dari Edgescan menunjukkan masih minimnya pengembang sistem dan jaringan dalam hal menutamakan keamanan. Information System Security Assesment Framework (ISSAF) merupakan metodologi penetration testing yang dikembangkan oleh Open Information Systems Security Group. Dalam framework tersebut terdiri dari tiga fase, yaitu Planing and Preparation, Assessment dan Reporting, Clean-up and Destroy Astefacts. Dalam melakukan Vulnerabilities Identification diperlukan tools untuk mengetahui potensi celah keamanan dalam bentuk laporan. Ini sangat diperlukan untuk mempermudah analisis, penggunaan dan meminimalisir biaya pentesting. Selama ini tools pentesting kebanyakan masih menggunakan model Command Line Interface (CLI) sehingga sulit digunakan oleh orang awam. Sehingga diperlukan tools berbasis Graphic User Interface (GUI). Dengan pendekatan Hybrid Apps dapat dikembangkan aplikasi pentesting berbasis Graphic User Interface yang memanfaatkan kelebihan teknologi native dan web. Bangkolo merupakan aplikasi untuk pentesting yang dikembangkan dari framework ISSAF dan pendekatan Hybrid Apps.
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Tsaryk, V., and V. Hnatushenko. "Research of methods of distribution of graphic objects on websites for assessment of interface quality." System technologies 3, no. 140 (2022): 143–54. http://dx.doi.org/10.34185/1562-9945-3-140-2022-12.

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Formulation of the problem. An actual problem when creating web resources is the test-ing of the designed design, which is the direction of testing the user interface. This paper con-siders ways to automate the analysis of the interface of web pages in terms of visual perception of man. The aim of the work. The aim of the work is to improve the quality of automated testing of the graphical user interface based on the use of methods of analysis of color digital images and detection of graphic objects. Methods of selecting objects on digital images. The traditional method of segmentation is described – threshold binarization, which results in a binary image. The JSEG algorithm is more advanced. According to this method, instead of estimating the parameters of the texture model, the homogeneity of each image fragment is checked, which leads to a reduction in the amount of computation. Website interface evaluation methods. In order to qualitatively evaluate the user interface, it is necessary to identify the basic principles on which designers rely when designing interfaces. Basic principles of interface construction: shape, size, brightness, color, direction, location. Determining the brightness characteristics of the image. To estimate the brightness pa-rameters, you can use the estimation of the image histogram, which displays the brightness value. The optimal type of brightness histogram is the normal distribution. Determining the number of primary colors in the image. Performed by constructing a histogram for an indexed image on a given color map. It is optimal to use no more than 3 primary colors. Selectionobjects in the image. The methods of image segmentation described above are implemented and the imperfection of these methods is shown. The application of the JSEG algorithm gave a more positive result, but requires additional adaptation to our tasks. Conclusions. The study and comparative analysis of digital image processing methods to automate the process of assessing the quality of the graphical user interface. It is concluded that the application of the classical approach to image segmentation did not give the desired result for image analysis of web pages, namely there are problems of inability to separate adjacent graphics at the threshold binarization, and combine text characters into one block. The JSEG algorithm includes color quantization and spatial segmentation operations, due to which the result of object selection is better, but still requires further settings.
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Pazushko, Maryna, Kseniia Ivanchenko, and Dmytro Ivanchenko. "Mathematical and software software of automation application of testing process using Spring framework." Bulletin of the National Technical University «KhPI» Series: Dynamics and Strength of Machines, no. 2 (December 31, 2022): 10–16. http://dx.doi.org/10.20998/2078-9130.2022.2.270129.

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The purpose of this work was to design and create an information system for evaluating and testing students' knowledge, which would simplify the process of forming tests and evaluating students' knowledge for teachers. The paper formed an idea about the concept of knowledge testing. The principles of implementation of this process are revealed. An overview of existing software solutions for computer training programs was conducted, the market of existing analogues was analyzed and, based on the analysis, functional and non-functional requirements for the software product being developed were formed. Based on the requirements, technical and software tools were chosen for the development of the program, namely the Java programming language and the Spring framework, the components of which allow to increase the productivity of the software product, as well as to simplify and speed up the setup, configuration and launch of the project.
 To achieve the goal, the following tasks are solved in the work: processing user data, creating a personal account, information about students and teachers, creating and passing a test, evaluating the quality of students' knowledge and teacher-created tests. A mathematical, information and software model of the system was built. The database was designed and built. The structural and functional scheme of the system has been developed. There are three user roles: teacher, student and unregistered user. Saving test results and the ability to obtain mathematical statistics of test results have been implemented. An important role is played by ensuring the ease and comfort of using the product for the user. Therefore, when developing the program, a lot of attention was paid to creating a friendly and ergonomic interface.
 The result was an information system of automated testing that fulfills the task, and also meets all the requirements and can be implemented in practice. The results of the work can be used both for the further introduction of the application into the educational process, and for students to acquire practical skills.
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Kaklauskas, Artûras, Ruslanas Ditkevičius, and Leonarda Gargasaite. "INTELLIGENT TUTORING SYSTEM FOR REAL ESTATE MANAGEMENT." International Journal of Strategic Property Management 10, no. 2 (2006): 113–30. http://dx.doi.org/10.3846/1648715x.2006.9637548.

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The review on the worldwide intelligent tutoring systems and their application possibilities is presented in the paper. The intelligent tutoring system for real estate management developed by the authors is described. This system is applied in Vilnius Gediminas Technical University, Department of Construction Economics and Property Management. Besides the common components ‐ student model, domain model, pedagogical model and graphical interface, the new developed system has testing model, decision support subsystem and database of computer learning systems. Domain model includes knowledge with the supplemental audio and video material for 63 modules being taught in Vilnius Gediminas Technical University. Student model enables to adapt to a learner needs and knowledge level. Decision support subsystem is used for all components of intelligent tutoring system giving them different level of intelligence. Database of computer learning systems enables using the following web‐based learning systems: construction, real estate, facilities management, international trade, ethics, innovation, sustainable development, building refurbishment, etc. Tutor and testing model provide a model of the teaching process and support transition to a new knowledge state. Graphic interface is used to create an effective system‐user dialogue.
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Tian, Hua. "Application and Analysis of Artificial Intelligence Graphic Element Algorithm in Digital Media Art Design." Mobile Information Systems 2022 (April 4, 2022): 1–11. http://dx.doi.org/10.1155/2022/6946616.

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With the development of information technology, digital media art came into being. Digital media art interface design, as a window for direct communication with users, has a direct impact on the user’s experience, so it has attracted more and more people’s attention. In the context of the continuous development of artificial intelligence, artificial intelligence algorithms have penetrated into all fields of social development. This article is based on the integration of graphic elements with artificial intelligence algorithms to build a digital media art interface design system. According to the analysis of system requirements, combined with the algorithm of artificial intelligence graphic elements, the system hierarchy is constructed from the user model, window model, and display model; software development and driver development are realized through the media library, and the window and common controls are realized. On this basis, the creation and display of windows and common controls are realized, and the design of the core functions of the system is completed to ensure the effect of system functions. The final conclusion shows that in actual design applications, the algorithm in this paper has a very high probability of finding the optimal solution, about 90%, when the number of iterations is small. Adjust parameters α and β, when α = 0.6 and β = 0.4 , are the best parameters; the image reaches the highest PSNR value, and the image restoration quality is the best; after system testing, the running time of this system is shortened by an average of 1-2 seconds, and the target detection task accuracy rate is 100%; the system is evaluated by questionnaires. The overall satisfaction of the design interface remains at about 80%, which is a great improvement compared to the previous one. Finally, it satisfies the requirements of the digital media art interface design better, and it is worthy of further exploration.
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Dissertations / Theses on the topic "Graphic User Interface Testing Automation Model"

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Aho, P. (Pekka). "Automated state model extraction, testing and change detection through graphical user interface." Doctoral thesis, Oulun yliopisto, 2019. http://urn.fi/urn:isbn:9789526224060.

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Abstract Testing is an important part of quality assurance, and the use of agile processes, continuous integration and DevOps is increasing the pressure for automating all aspects of testing. Testing through graphical user interfaces (GUIs) is commonly automated by scripts that are captured or manually created with a script editor, automating the execution of test cases. A major challenge with script-based GUI test automation is the manual effort required for maintaining the scripts when the GUI changes. Model-based testing (MBT) is an approach for automating also the design of test cases. Traditionally, models for MBT are designed manually with a modelling tool, and an MBT tool is used for generating abstract test cases from the model. Then, an adapter is implemented to translate the abstract test cases into concrete test cases that can be executed on system under test (SUT). When the GUI changes, the model has to be updated and the test cases can be generated from the updated model, reducing the maintenance effort. However, designing models and implementing adapters requires effort and specialized expertise. The main research questions of this thesis are 1) how to automatically extract state-based models of software systems with GUI, and 2) how to use the extracted models to automate testing. Our focus is on using dynamic analysis through the GUI during automated exploration of the system, and we concentrate on desktop applications. Our results show that extracting state models through GUI is possible and the models can be used to generate regression test cases, but a more promising approach is to use model comparison on extracted models of consequent system versions to automatically detect changes between the versions<br>Tiivistelmä Testaaminen on tärkeä osa laadun varmistusta. Ketterät kehitysprosessit ja jatkuva integrointi lisäävät tarvetta automatisoida kaikki testauksen osa-alueet. Testaus graafisten käyttöliittymien kautta automatisoidaan yleensä skripteinä, jotka luodaan joko tallentamalla manuaalista testausta tai kirjoittamalla käyttäen skriptieditoria. Tällöin scriptit automatisoivat testitapausten suorittamista. Muutokset graafisessa käyttöliittymässä vaativat scriptien päivittämistä ja scriptien ylläpitoon kuluva työmäärä on iso ongelma. Mallipohjaisessa testauksessa automatisoidaan testien suorittamisen lisäksi myös testitapausten suunnittelu. Perinteisesti mallipohjaisessa testauksessa mallit suunnitellaan manuaalisesti käyttämällä mallinnustyökalua, ja mallista luodaan abstrakteja testitapauksia automaattisesti mallipohjaisen testauksen työkalun avulla. Sen jälkeen implementoidaan adapteri, joka muuttaa abstraktit testitapaukset konkreettisiksi, jotta ne voidaan suorittaa testattavassa järjestelmässä. Kun testattava graafinen käyttöliittymä muuttuu, vain mallia täytyy päivittää ja testitapaukset voidaan luoda automaattisesti uudelleen, vähentäen ylläpitoon käytettävää työmäärää. Mallien suunnittelu ja adapterien implementointi vaatii kuitenkin huomattavan työmäärän ja erikoisosaamista. Tämä väitöskirja tutkii 1) voidaanko tilamalleja luoda automaattisesti järjestelmistä, joissa on graafinen käyttöliittymä, ja 2) voidaanko automaattisesti luotuja tilamalleja käyttää testauksen automatisointiin. Tutkimus keskittyy työpöytäsovelluksiin ja dynaamisen analyysin käyttämiseen graafisen käyttöliittymän kautta järjestelmän automatisoidun läpikäynnin aikana. Tutkimustulokset osoittavat, että tilamallien automaattinen luominen graafisen käyttöliittymän kautta on mahdollista, ja malleja voidaan käyttää testitapausten generointiin regressiotestauksessa. Lupaavampi lähestymistapa on kuitenkin vertailla malleja, jotka on luotu järjestelmän peräkkäisistä versioista, ja havaita versioiden väliset muutokset automaattisesti
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Panday, Ashish. "Applying model-based testing to network monitor user interface." Manhattan, Kan. : Kansas State University, 2010. http://hdl.handle.net/2097/4209.

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Yang, Xuebing. "Graphic user interface modelling and testing automation." Thesis, 2011. https://vuir.vu.edu.au/16066/.

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A Graphical User Interface (GUI) is the most widely used method whereby information systems interact with users. According to ACM Computing Surveys, on average, more than 45% of software code in a software application is dedicated to the GUI. However, GUI testing is extremely expensive. In unit testing, 10,000 cases can often be automatically tested within a minute whereas, in GUI testing, 10,000 simple GUI test cases need more than 10 hours to complete. This thesis effectively addresses the challenges of existing GUI testing methods and provides a unified solution to GUI testing automation. The three main contributions of this thesis are the proposal of the Graphic User Interface Testing Automation Model (GUITAM), the development of GUI Defect Classification and the proposal of the Long Use Case Closure Envelope Model.
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Conference papers on the topic "Graphic User Interface Testing Automation Model"

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King, Graham S., R. Peter Jones, and Andrew D. Bailey. "Application of Systems Modeling and Simulation in the Discrete Ratio Automatic Transmission Calibration Process for an Automobile." In ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-41119.

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This paper describes the application of systems modeling and simulation to the process of calibrating shift schedules for an automatic discrete ratio transmission in an automobile. A simulation tool capable of predicting the effect of transmission calibration changes on vehicle performance, fuel economy, and shift consistency and busyness is presented. The simulation tool includes a powertrain system model in which the physically based elements were developed using Modelica/Dymola and the functionality of the electronic transmission controller was realized using MATLAB/Stateflow. The complete powertrain system model is simulated in the MATLAB/Simulink environment and has been validated against data obtained from vehicle tests. The simulation tool also incorporates a graphical user interface to facilitate its use by calibration engineers as an integral part of the transmission calibration process: The paper discusses the role of the simulation tool during two phases of the calibration process: the initial design of shift schedules; and in-vehicle development of shift schedules. The results of a back-to-back comparison between the traditional, experimentally based transmission calibration process and a revised process, centered on use of the simulation tool, demonstrate that applying the simulation tool as an integral part of the calibration process can save a significant amount of calibration engineers and vehicle testing time.
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Song, Pengfei, Weize Zhang, Alexandre Sobolevski, Kristine Bernard, Siegfried Hekimi, and Xinyu Liu. "A Microfluidic Device for Caenorhabditis Elegans Based Chemical Testing." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-39126.

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The nematode worm Caenorhabditis elegans has been employed as a popular model organism in many fields of biological research. In this paper, we present an easy-to-use microfluidic device for facilitating C. elegans based chemical testing. The device is capable of housing single worms in microfluidic chambers and precisely adjusting the chamber’s chemical environment during experiments. Eight worms can be readily loaded into the chambers through separate loading channels in a quick and gentle manner. In addition, a custom-made software with a graphic user interface is also created for quantitative analysis of locomotion parameters (swimming frequency and bend amplitude) of the worms in response to chemical stimuli, thus greatly enhancing the efficiency of data collection. We perform proof-of-concept experiments using two chemicals, zinc ion (Zn2+) and glucose, which demonstrate the capability and effectiveness of the microfluidic device.
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Bergant, Marko, and Helena Gabrijelčič Tomc. "Display of interactive 3D models in augmented reality on mobile devices." In 11th International Symposium on Graphic Engineering and Design. University of Novi Sad, Faculty of technical sciences, Department of graphic engineering and design, 2022. http://dx.doi.org/10.24867/grid-2022-p19.

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This paper study is related to two research areas, namely 3D computer graphics and augmented reality with a combination of their display on mobile devices. It presents the creation of three different interactive 3D models based on a realistically drawn image of domestic animals and can be displayed on mobile devices using augmented reality. The textured animals' models are displayed in the application Augmented animals (slo. Obogatene živali) with a simple user interface. The usability of the application is demonstrated by the detection of the image target, i.e., a printed interactive card, which proves the interaction between the mobile device and the augmented paper. When the mobile device camera recognizes the target, it displays the selected animal on the screen. The result is the enhancement of the real environment with animated 3D characters. By displaying a 3D character on the screen and interacting with the user interface, the presentation of each animal in three different animated movements is enabled. The first empirical part of this work was done with the help of the Blender program, in which we created all three animal 3D characters. First, we had to model all the animals from the initial templates into a recognizable 3D mesh, which we then mapped the textures on. This was followed by the construction of a system of bones and animation controls, based on which we could create the animal animations. After this step, we transferred the project to the Unity program. Then it followed the construction of an application that allows the representation of characters in augmented reality. The results of the entire work are appropriately made animal characters in the form of animated 3D models that can be displayed in augmented reality mode on mobile devices using interactive cards. The selected testing parameters showed that there are certain differences in rendering between the two tested mobile devices depending on the selected subdivision level of the 3D character. However, for recognition based on lighting conditions, distance and slope between the image target and the mobile device, the best user experience is obtained when the image target is captured from a distance of 15-20 cm and from a bird's eye view under good lighting conditions.
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Jevremovic, Tatjana, Mathieu Hursin, Nader Satvat, John Hopkins, Shanjie Xiao, and Godfree Gert. "Performance, Accuracy and Efficiency Evaluation of a Three-Dimensional Whole-Core Neutron Transport Code AGENT." In 14th International Conference on Nuclear Engineering. ASMEDC, 2006. http://dx.doi.org/10.1115/icone14-89561.

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The AGENT (Arbitrary GEometry Neutron Transport) an open-architecture reactor modeling tool is deterministic neutron transport code for two or three-dimensional heterogeneous neutronic design and analysis of the whole reactor cores regardless of geometry types and material configurations. The AGENT neutron transport methodology is applicable to all generations of nuclear power and research reactors. It combines three theories: (1) the theory of R-functions used to generate real three-dimensional whole-cores of square, hexagonal or triangular cross sections, (2) the planar method of characteristics used to solve isotropic neutron transport in non-homogenized 2D) reactor slices, and (3) the one-dimensional diffusion theory used to couple the planar and axial neutron tracks through the transverse leakage and angular mesh-wise flux values. The R-function-geometrical module allows a sequential building of the layers of geometry and automatic submeshing based on the network of domain functions. The simplicity of geometry description and selection of parameters for accurate treatment of neutron propagation is achieved through the Boolean algebraic hierarchically organized simple primitives into complex domains (both being represented with corresponding domain functions). The accuracy is comparable to Monte Carlo codes and is obtained by following neutron propagation through real geometrical domains that does not require homogenization or simplifications. The efficiency is maintained through a set of acceleration techniques introduced at all important calculation levels. The flux solution incorporates power iteration with two different acceleration techniques: Coarse Mesh Rebalancing (CMR) and Coarse Mesh Finite Difference (CMFD). The stand-alone originally developed graphical user interface of the AGENT code design environment allows the user to view and verify input data by displaying the geometry and material distribution. The user can also view the output data such as three-dimensional maps of the energy-dependent mesh-wise scalar flux, reaction rate and power peaking factor. The AGENT code is in a process of an extensive and rigorous testing for various reactor types through the evaluation of its performance (ability to model any reactor geometry type), accuracy (in comparison with Monte Carlo results and other deterministic solutions or experimental data) and efficiency (computational speed that is directly determined by the mathematical and numerical solution to the iterative approach of the flux convergence). This paper outlines main aspects of the theories unified into the AGENT code formalism and demonstrates the code performance, accuracy and efficiency using few representative examples. The AGENT code is a main part of the so called virtual reactor system developed for numerical simulations of research reactors. Few illustrative examples of the web interface are briefly outlined.
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Gravdal, Jan Einar, Dan Sui, Attila Nagy, Nejm Saadallah, and Robert Ewald. "A Hybrid Test Environment for Verification of Drilling Automation Systems." In SPE/IADC International Drilling Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/204064-ms.

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AbstractThe transition towards drilling automation put high demands on new software for controlling or assisting during drilling. Along with the software development, adequate infrastructures for testing and verification of this software need to be in place. In other industries, such as aviation, the development of advanced simulators goes hand in hand with the technological developments and ensures a fit for purpose test environment at all time.Since 2017, a high-fidelity online drilling simulator has been available to the public. The purpose has been to facilitate and accelerate the development and testing of real-time drilling automation systems.The simulator can be accessed through a web Application Programming Interface (API) and run from a web client, or in a Hardware-in-the-loop (HIL) simulator from a control system environment with programmable logic controllers (PLCs) from leading industry vendors. To facilitate testing and verification of systems also on real data, recent developments have enabled a user-friendly access to openly available drilling data through the web API. Automatic functions have been developed to create model configurations from recorded data sets. This setup enables benchmarking of simulation models against recorded data and allows efficient verification of drilling automation systems.The web enablement makes the infrastructure suitable for development projects and software verification from anywhere in the world without any installation needed. Better availability of realistic and scalable test environments for automated drilling systems is expected to speed up the qualification of new drilling technologies. This will in turn reduce costs and minimize the carbon footprint from drilling operations.This paper describes the hybrid test environment and key learnings from the developers and user's perspective.
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Chen, Haodong, Ming C. Leu, Wenjin Tao, and Zhaozheng Yin. "Design of a Real-Time Human-Robot Collaboration System Using Dynamic Gestures." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-23650.

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Abstract With the development of industrial automation and artificial intelligence, robotic systems are developing into an essential part of factory production, and the human-robot collaboration (HRC) becomes a new trend in the industrial field. In our previous work, ten dynamic gestures have been designed for communication between a human worker and a robot in manufacturing scenarios, and a dynamic gesture recognition model based on Convolutional Neural Networks (CNN) has been developed. Based on the model, this study aims to design and develop a new real-time HRC system based on multi-threading method and the CNN. This system enables the real-time interaction between a human worker and a robotic arm based on dynamic gestures. Firstly, a multi-threading architecture is constructed for high-speed operation and fast response while schedule more than one task at the same time. Next, A real-time dynamic gesture recognition algorithm is developed, where a human worker’s behavior and motion are continuously monitored and captured, and motion history images (MHIs) are generated in real-time. The generation of the MHIs and their identification using the classification model are synchronously accomplished. If a designated dynamic gesture is detected, it is immediately transmitted to the robotic arm to conduct a real-time response. A Graphic User Interface (GUI) for the integration of the proposed HRC system is developed for the visualization of the real-time motion history and classification results of the gesture identification. A series of actual collaboration experiments are carried out between a human worker and a six-degree-of-freedom (6 DOF) Comau industrial robot, and the experimental results show the feasibility and robustness of the proposed system.
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Ekeregbe, Merit P., Mina S. Khalaf, and Robello Samuel. "Dull Bit Grading Using Video Intelligence." In SPE Annual Technical Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/206254-ms.

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Abstract Although visual data analytics using image processing is one of the most growing research areas today and is largely applied in many fields, it is not fully utilized in the petroleum industry. This study is inspired by medical image segmentation in detecting tumor cells. This paper uses a supervised Machine Learning technique through video analytics to identify bit dullness that can be used in the drilling industry in place of the subjective screening approach. The evaluation of bit performance can be affected by subjective evaluation of the degree of dullness. The present approach of using video analytics is able to grade bit dullness to avoid user subjectivity. The approach involves the use of datasets in good quantity and quality by separating them into training datasets, testing datasets, and validation datasets. Due to the large datasets, Google Collaboratory was used as it provides access to its Graphic Processing Unit (GPU) online for the processing of the bit datasets. The processing time and resource consumption are minimized using Google GPU. Using the Google GPU resources, the procedure is automated without any installation. After the bit is pulled out and cleaned, a video is taken around and up and down in 360°. Further, it is compared against the green bit. By this approach, multiple video datasets are not required. The algorithm was validated with new sets of bit videos and the results were satisfactory. The identification of the dullness or otherwise of each screened bit is done with the aid of a bounding box with a stamp of a level of confidence (range 0.5–1) and the algorithm assigns for its decision on the identified or screened object. This method is also able to screen multiple bits stored in a single place. In an event where several drill bits are to be screened, manual grading will be a huge task and will require a lot of resources. This model and algorithm will take a few minutes to screen and provide grading for several bits while videos are passed through the algorithm. It has also been found that the grading with the video was much better than the single image as the contextual information extracted are much higher at the level of the entire video, per segment, per shot, and per frame. Also, methodology is made robust so that the video model test starts successfully without error. The time penalty for the processing is fast and it took less time for a single video screening. The work developed here is probably the first to handle the dull bit grading using video analytics. With more of these datasets available, the future automation of the IADC bit characterization will soon evolve into an automated process.
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Reports on the topic "Graphic User Interface Testing Automation Model"

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Matus, Sean, and Daniel Gambill. Automation of gridded HEC-HMS model development using Python : initial condition testing and calibration applications. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/46126.

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The US Army Corps of Engineers’s (USACE) Hydrologic Engineering Center-Hydrologic Modeling System (HEC-HMS) rainfall-runoff model is widely used within the research community to develop both event-based and continuous rainfall-runoff models. The soil moisture accounting (SMA) algorithm is commonly used for long-term simulations. Depending on the final model setup, 12 to 18 parameters are needed to characterize the modeled watershed’s canopy, surface, soil, and routing processes, all of which are potential calibration parameters. HEC-HMS includes optimization tools to facilitate model calibration, but only initial conditions (ICs) can be calibrated when using the gridded SMA algorithm. Calibrating a continuous SMA HEC-HMS model is an iterative process that can require hundreds of simulations, a time intensive process requiring automation. HEC-HMS is written in Java and is predominantly run through a graphical user interface (GUI). As such, conducting a long-term gridded SMA calibration is infeasible using the GUI. USACE Construction Engineering Research Laboratory (CERL) has written a workflow that utilizes the existing Jython application programming interface (API) to batch run HEC-HMS simulations with Python. The workflow allows for gridded SMA HEC-HMS model sensitivity and calibration analyses to be conducted in a timely manner.
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