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Статті в журналах з теми "Automated Data Capture"
Priestnall, G., R. E. Marston, and D. G. Elliman. "Arrowhead recognition during automated data capture." Pattern Recognition Letters 17, no. 3 (March 1996): 277–86. http://dx.doi.org/10.1016/0167-8655(95)00117-4.
Повний текст джерелаMyler, H. R., and A. J. Gonzalez. "Automated design data capture using relaxation techniques." ACM SIGART Bulletin, no. 108 (April 1989): 169–70. http://dx.doi.org/10.1145/63266.63301.
Повний текст джерелаAsuncion, Hazeline U. "Automated data provenance capture in spreadsheets, with case studies." Future Generation Computer Systems 29, no. 8 (October 2013): 2169–81. http://dx.doi.org/10.1016/j.future.2013.04.009.
Повний текст джерелаDamova, Mariana. "Linked Open Data Prototype of the Historical Archive of the European Commission." Archiving Conference 2020, no. 1 (April 7, 2020): 92–97. http://dx.doi.org/10.2352/issn.2168-3204.2020.1.0.92.
Повний текст джерелаCamargo, Jonathan, Aditya Ramanathan, Noel Csomay-Shanklin, and Aaron Young. "Automated gap-filling for marker-based biomechanical motion capture data." Computer Methods in Biomechanics and Biomedical Engineering 23, no. 15 (July 11, 2020): 1180–89. http://dx.doi.org/10.1080/10255842.2020.1789971.
Повний текст джерелаCrichton, D. J., L. Cinquini, H. Kincaid, A. Mahabal, A. Altinok, K. Anton, M. Colbert, et al. "From space to biomedicine: Enabling biomarker data science in the cloud." Cancer Biomarkers 33, no. 4 (April 18, 2022): 479–88. http://dx.doi.org/10.3233/cbm-210350.
Повний текст джерелаCrichton, D. J., L. Cinquini, H. Kincaid, A. Mahabal, A. Altinok, K. Anton, M. Colbert, et al. "From space to biomedicine: Enabling biomarker data science in the cloud." Cancer Biomarkers 33, no. 4 (April 18, 2022): 479–88. http://dx.doi.org/10.3233/cbm-210350.
Повний текст джерелаSchmoker, Bethany A., Shane Urban, and Arek J. Wiktor. "112 Developing Outpatient Registry to Capture Data Post Hospitalization." Journal of Burn Care & Research 43, Supplement_1 (March 23, 2022): S73. http://dx.doi.org/10.1093/jbcr/irac012.115.
Повний текст джерелаWiltshire, S. E., D. G. Morris, and M. A. Beran. "Digital Data Capture and Automated Overlay Analysis for Basin Characteristic Calculation." Cartographic Journal 23, no. 1 (June 1986): 60–65. http://dx.doi.org/10.1179/caj.1986.23.1.60.
Повний текст джерелаUdoka, Silvanus J. "Automated data capture techniques: A prerequisite for effective integrated manufacturing systems." Computers & Industrial Engineering 21, no. 1-4 (January 1991): 217–21. http://dx.doi.org/10.1016/0360-8352(91)90091-j.
Повний текст джерелаДисертації з теми "Automated Data Capture"
Brotherton, Jason Alan. "Enriching everyday activities through the automated capture and access of live experiences : eClass: building, observing and understanding the impact of capture and access in an educational domain." Diss., Georgia Institute of Technology, 2001. http://hdl.handle.net/1853/8143.
Повний текст джерелаBoxall, Guy. "'Diversification of automatic identification and data capture technologies with Omron Corporation'." Thesis, University of Warwick, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.275300.
Повний текст джерелаBhattacharjee, Partha Sarathi S. M. Massachusetts Institute of Technology. "VacSeen : semantically enriched automatic identification and data capture for improved vaccine logistics." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/107582.
Повний текст джерелаThesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, System Design and Management Program, 2016.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 79-82).
Vaccines are globally recognized as a critical public health intervention. Routine immunization coverage in large parts of the developing world is around 80%. Technology and policy initiatives are presently underway to improve vaccine access in such countries. Efforts to deploy AIDC technologies, such as barcodes, on vaccine packaging in developing countries are currently ongoing under the aegis of the 'Decade of Vaccines' initiative by key stakeholders. Such a scenario presents an opportunity to evaluate novel approaches for enhancing vaccine access. In this thesis I report the development of VacSeen, a Semantic Web technology-enabled platform for improving vaccine access in developing countries. Furthermore, I report results of evaluation of a suite of constituent software and hardware tools pertaining to facilitating equitable vaccine access in resource-constrained settings through data linkage and temperature sensing. I subsequently discuss the value of such linkage and approaches to implementation using concepts from technology, policy, and systems analysis.
by Partha Sarathi Bhattacharjee.
S.M. in Technology and Policy
S.M. in Engineering and Management
Nachabe, Ismail Lina. "Automatic sensor discovery and management to implement effective mechanism for data fusion and data aggregation." Thesis, Evry, Institut national des télécommunications, 2015. http://www.theses.fr/2015TELE0021/document.
Повний текст джерелаThe constant evolution of technology in terms of inexpensive and embedded wireless interfaces and powerful chipsets has leads to the massive usage and development of wireless sensor networks (WSNs). This potentially affects all aspects of our lives ranging from home automation (e.g. Smart Buildings), passing through e-Health applications, environmental observations and broadcasting, food sustainability, energy management and Smart Grids, military services to many other applications. WSNs are formed of an increasing number of sensor/actuator/relay/sink devices, generally self-organized in clusters and domain dedicated, that are provided by an increasing number of manufacturers, which leads to interoperability problems (e.g., heterogeneous interfaces and/or grounding, heterogeneous descriptions, profiles, models …). Moreover, these networks are generally implemented as vertical solutions not able to interoperate with each other. The data provided by these WSNs are also very heterogeneous because they are coming from sensing nodes with various abilities (e.g., different sensing ranges, formats, coding schemes …). To tackle this heterogeneity and interoperability problems, these WSNs’ nodes, as well as the data sensed and/or transmitted, need to be consistently and formally represented and managed through suitable abstraction techniques and generic information models. Therefore, an explicit semantic to every terminology should be assigned and an open data model dedicated for WSNs should be introduced. SensorML, proposed by OGC in 2010, has been considered an essential step toward data modeling specification in WSNs. Nevertheless, it is based on XML schema only permitting basic hierarchical description of the data, hence neglecting any semantic representation. Furthermore, most of the researches that have used semantic techniques for developing their data models are only focused on modeling merely sensors and actuators (this is e.g. the case of SSN-XG). Other researches dealt with data provided by WSNs, but without modelling the data type, quality and states (like e.g. OntoSensor). That is why the main aim of this thesis is to specify and formalize an open data model for WSNs in order to mask the aforementioned heterogeneity and interoperability between different systems and applications. This model will also facilitate the data fusion and aggregation through an open management architecture like environment as, for example, a service oriented one. This thesis can thus be split into two main objectives: 1)To formalize a semantic open data model for generically describing a WSN, sensors/actuators and their corresponding data. This model should be light enough to respect the low power and thus low energy limitation of such network, generic for enabling the description of the wide variety of WSNs, and extensible in a way that it can be modified and adapted based on the application. 2)To propose an upper service model and standardized enablers for enhancing sensor/actuator discovery, data fusion, data aggregation and WSN control and management. These service layer enablers will be used for improving the data collection in a large scale network and will facilitate the implementation of more efficient routing protocols, as well as decision making mechanisms in WSNs
Naert, Lucie. "Capture, annotation and synthesis of motions for the data-driven animation of sign language avatars." Thesis, Lorient, 2020. http://www.theses.fr/2020LORIS561.
Повний текст джерелаThis thesis deals with the capture, annotation, synthesis and evaluation of arm and hand motions for the animation of avatars communicating in Sign Languages (SL). Currently, the production and dissemination of SL messages often depend on video recordings which lack depth information and for which editing and analysis are complex issues. Signing avatars constitute a powerful alternative to video. They are generally animated using either procedural or data-driven techniques. Procedural animation often results in robotic and unrealistic motions, but any sign can be precisely produced. With data-driven animation, the avatar's motions are realistic but the variety of the signs that can be synthesized is limited and/or biased by the initial database. As we considered the acceptance of the avatar to be a prime issue, we selected the data-driven approach but, to address its main limitation, we propose to use annotated motions present in an SL Motion Capture database to synthesize novel SL signs and utterances absent from this initial database. To achieve this goal, our first contribution is the design, recording and perceptual evaluation of a French Sign Language (LSF) Motion Capture database composed of signs and utterances performed by deaf LSF teachers. Our second contribution is the development of automatic annotation techniques for different tracks based on the analysis of the kinematic properties of specific joints and existing machine learning algorithms. Our last contribution is the implementation of different motion synthesis techniques based on motion retrieval per phonological component and on the modular reconstruction of new SL content with the additional use of motion generation techniques such as inverse kinematics, parameterized to comply to the properties of real motions
Boberg, Molly, and Märta Selander. "Systematic and Automatized Hydrogeological Data Capturing for Provision of Safe Drinking Water in Daudkandi, Bangladesh." Thesis, KTH, Hållbar utveckling, miljövetenskap och teknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-297811.
Повний текст джерелаÖver 230 miljoner människor världen över exponeras dagligen för arsenik-förorenat dricksvatten vilket kan ge upphov till hjärt- och kärlsjukdomar, diabetes samt olika cancersjukdomar. Arsenik (As) är en extremt giftig halvmetall som är naturligt förekommande i grundvatten och klassas som ett utav de största hoten mot allmän folkhälsa, vilket gör reducerande åtgärder till en samhällsutmaning av global karaktär. Ett land som är hårt drabbat av höga arsenikhalter är Bangladesh, där miljontals människor utsätts för arsenik-nivåer som överstiger WHO:s rekommenderade riktlinjer (>10 μg/L). Dricksvattenförsörjningen tillhandahålls framförallt genom vattenbrunnar installerade av lokala borrare och där majoriteten är placerade i akviferer med skadligt höga arsenikhalter. Utmaningarna med att identifiera arseniksäkra akviferer är flera, bland annat saknas ett gemensamt verktyg för att hantera, kvalitetssäkra och analysera hydrogeologisk data, samt för att delge denna till olika parter på lokal, regional och nationell nivå. Syftet med den här studien var således att undersöka potentialen i att tillämpa ett digitalt verktyg för insamling och hantering av fältdata från olika databaser till en kvalitetssäkrad plattform. Studien genomfördes som ett pilotprojekt i distriktet Daudkandi, Bangladesh i samarbete med forskningsgruppen KTH-International Groundwater Research Group. För att uppfylla syftet utvecklades en metod för systematisk och automatiserad datainsamling av hydrogeologisk information i GeoGIS, en avancerad mjukvara som visade sig vara ett effektivt verktyg för visualiseringar av hydrogeologiska data. Resultaten visar att insamling av en liten mängd fältdata är till stor hjälp för att tolka akvifersekvenser samt för att urskilja arseniksäkra akviferer, vilket skapar bättre förutsättningar för installation av säkra vattenbrunnar. En slutsats som dras är att integreringen av en digital plattform för datainsamling avsevärt kan förbättra beslutsfattandet för arsenikreducerande strategier samt underlättar ett transparent informationsflöde. Genom att tillhandahålla transparent hydrogeologisk information till privat och offentlig sektor i Bangladesh kan även tillgången på säkert dricksvatten förbättras.
Cecchinel, Cyril. "DEPOSIT : une approche pour exprimer et déployer des politiques de collecte sur des infrastructures de capteurs hétérogènes et partagées." Thesis, Université Côte d'Azur (ComUE), 2017. http://www.theses.fr/2017AZUR4094/document.
Повний текст джерелаSensing infrastructures are classically used in the IoT to collect data. However, a deep knowledge of sensing infrastructures is needed to properly interact with the deployed systems. For software engineers, targeting these systems is tedious. First, the specifies of the platforms composing the infrastructure compel them to work with little abstractions and heterogeneous devices. This can lead to code that badly exploit the network infrastructure. Moreover, by being infrastructure specific, these applications cannot be easily reused across different systems. Secondly, the deployment of an application is outside the domain expertise of a software engineer as she needs to identify the required platform(s) to support her application. Lastly, the sensing infrastructure might not be designed to support the concurrent execution of various applications leading to redundant deployments when a new application is contemplated. In this thesis we present an approach that supports (i) the definition of data collection policies at high level of abstraction with a focus on their reuse, (ii) their deployment over a heterogeneous infrastructure driven by models designed by a network export and (iii) the automatic composition of the policy on top of the heterogeneous sensing infrastructures. Based on these contributions, a software engineer can exploit sensor networks without knowing the associated details, while reusing architectural abstractions available off-the-shelf in their policy. The network will also be shared automatically between the policies
Neumann, Markus. "Automatic multimodal real-time tracking for image plane alignment in interventional Magnetic Resonance Imaging." Phd thesis, Université de Strasbourg, 2014. http://tel.archives-ouvertes.fr/tel-01038023.
Повний текст джерелаRomano, Regiane Relva. "Os impactos do uso de tecnologia da informação e da identificação e captura automática de dados nos processos operacionais do varejo." reponame:Repositório Institucional do FGV, 2011. http://hdl.handle.net/10438/8895.
Повний текст джерелаRejected by Gisele Isaura Hannickel (gisele.hannickel@fgv.br), reason: Prezada Regiane, Está pendente a capa e a ficha catalográfica. Favor retirar o logotipo das primeiras folhas. Segue a sequencia: 1º capa 2º contra capa (que na sua postagem está como 1ª folha) 3º ficha catalográfica 4º folha de assinaturas 5º sequencia do trabalho..... Em caso de dúvidas favor verificar no site da biblioteca / serviços / manuais / normalização de trabalhos academicos. Att, Secretaria de Registro on 2011-12-28T12:09:43Z (GMT)
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Este trabalho objetivou identificar as principais tecnologias disponíveis de TI (Tecnologia da Informação) e de AIDC (Identificação e Captura Automática de Dados) para a área de varejo de autosserviço, para preencher a lacuna existente na literatura, sobre os benefícios de se usar novas tecnologias no ponto de venda, com vistas a otimizar sua operação. Para tanto, foram estudados os principais processos operacionais de uma loja de varejo de autosserviço, com vistas a identificar como as Tecnologias da Informação (TI) e de Identificação e Captura Automática de Dados (AIDC), poderiam ajudar a melhorar os resultados operacionais e agregar valor ao negócio. Para analisar suas proposições (de que o uso de TI e de AIDC podem ajudar na: redução dos tempos dos processos de retaguarda; redução do número de operações no ponto de venda; prevenção de perdas; redução dos custos e dos tempos para a realização dos inventários; redução do número de funcionários nas lojas; redução do tempo de fila no caixa; redução de rupturas e no aumento da eficiência operacional da loja), foram pesquisados diversos estudos de casos mundiais de empresas do segmento de varejo, que implementaram as tecnologias de AIDC e TI, principalmente a de RFID, para saber quais foram os impactos do uso destas tecnologias em suas operações e, em seguida, foi desenvolvido um Estudo de Caso abrangente, por meio do qual se objetivou entender os benefícios empresariais reais do uso destas tecnologias para o varejo de autosserviço. Como resultado final, foi possível identificar as mudanças nos processos operacionais do varejo de autosserviço, bem como os benefícios gerados em termos de custo, produtividade, qualidade, flexibilidade e inovação. O trabalho também evidenciou os pontos críticos de sucesso para a implementação da TI e das AIDC no varejo, que são: a revisão dos processos operacionais; a correta definição do hardware; dos insumos; do software; das interferências do ambiente físico; da disponibilização dos dados/informações dos produtos; das pessoas/funcionários e dos parceiros de negócios/fornecedores. De maneira mais específica, este trabalho buscou contribuir para o enriquecimento do campo de estudos no segmento de varejo e para o uso da tecnologia da informação, no Brasil, já que o assunto sobre o uso e o impacto de novas tecnologias no ponto de vendas, ainda permanece pouco explorado academicamente.
This study sought to identify the main IT technologies available for the AIDC and retail self-service area, to fill the gap in the literature about the real advantages of using new technologies at the point of sale, in order to optimize its operation. In order to do this, we studied the main operational processes of a self-service retail store bearing in mind to identify how the technologies of Automatic Identification and Data Capture and IT could help to improve the operating results and add value to the business. To analyze these proposals we have surveyed several global case studies of retail companies, which implemented the AIDC and IT technologies to investigate what were the impacts of using these technologies in their operations and then designed a comprehensive and innovative Case Study, through which we sought to understand the real business benefits. As a final result, it was possible to identify the changes and the benefits in terms of cost, productivity, quality, flexibility and innovation. The work also highlighted the critical points of success for the implementation of AIDC and IT Retail, which are: the review of operating processes, the correct definition of the hardware; inputs; software; interferences of the physical environment, the availability of data / information of products, of people / employees and of business partners / suppliers. More specifically, this study sought to contribute to the enrichment of the field studies in the retail segment and for the use of information technology in Brazil, since the issue on the use and impact of new technologies at the point of sales, still remains unexplored academically.
Zhou, Shuting. "Navigation of a quad-rotor to access the interior of a building." Thesis, Compiègne, 2015. http://www.theses.fr/2015COMP2237.
Повний текст джерелаThis research work is dedicated to the development of an autonomous navigation strategy which includes generating an optimal trajectory with obstacles avoiding capabilities, detecting specific object of interest (i.e. a window) and then conducting the subsequent maneuver to approach the window and finally access into the building. The vehicle is navigated by a vision system and a combination of inertial and altitude sensors, which achieve a relative localization of the quad-rotor with respect to its surrounding environment. A MPC-based path planning method using the information provided by the GPS and the visual sensor has been developed to generate an optimal real-time trajectory with collision avoidance capabilities, which starts from an initial point given by the user and guides the vehicle to achieve the final point outside the target building. With the aim of detecting and locating the object of interest, two different vision-based object detection strategies are proposed and are applied respectively in the stereo vision system and the vision system using the Kinect. After estimating the target window model, a motion estimation framework is developed to estimate the vehicle’s ego-motion from the images provided by the visual sensor. There have been two versions of the motion estimation frameworks for both vision systems. A quad-rotor experimental platform is developed. For estimating the translational dynamic of the vehicle, a Kalman filter is implemented to combine the imaging, inertial and altitude sensors. A hierarchical sensing and control system is designed to perform the navigation and control of the quad-rotor helicopter, which allows the vehicle to estimate the state without artificial marks or other external positioning systems
Книги з теми "Automated Data Capture"
Canada. Dept. of the Environment. Inland Waters. Automated Comoputer-Based Water Quality Analytical Laboratory Data Capture/Management System (Awqualabs). S.l: s.n, 1987.
Знайти повний текст джерелаWaters, Canada Dept of the Environment Inland. Experiences Gained in System Design, Development, and Implementation of an Automated, Computer-Based, Water Quality Analytical Laboratory Data Capture/Management System. S.l: s.n, 1987.
Знайти повний текст джерелаDirectorate, Canada Inland Waters. Experiences gained in system design, development, and implementation of an automated, computer-based, water quality analytical laboratory data capture/management system. Burlington, Ont: Environment Canada, 1987.
Знайти повний текст джерелаSuttle, I. V. Assessment of potential benefits of automatic identification and other methods of data capture in distribution automation. Manchester: UMIST, 1990.
Знайти повний текст джерелаInc, ebrary, ed. JBoss drools business rules: Capture, automate, and reuse your business processes in a clear English language that your computer can understand. Birmingham, U.K: Packt Pub., 2009.
Знайти повний текст джерелаSpencer, Harvey. Automated Forms Processing: Tips and Techniques to Automate the Capture of Data from Your Forms. CMP Books, 1996.
Знайти повний текст джерелаAutomated Forms Processing: A Primer : How to Capture Paper Forms Electronically and Extract the Data Automatically. 2nd ed. CMP Books, 1999.
Знайти повний текст джерелаexecutive, Health and safety. Automatic Data Capture Opportunities for Health and Safety in Industry. Health and Safety Executive (HSE), 2003.
Знайти повний текст джерелаЧастини книг з теми "Automated Data Capture"
Camargo, Manuel, Marlon Dumas, and Oscar González-Rojas. "Learning Accurate Business Process Simulation Models from Event Logs via Automated Process Discovery and Deep Learning." In Advanced Information Systems Engineering, 55–71. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-07472-1_4.
Повний текст джерелаZünd, Daniel, and Luís M. A. Bettencourt. "Street View Imaging for Automated Assessments of Urban Infrastructure and Services." In Urban Informatics, 29–40. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8983-6_4.
Повний текст джерелаGuo, Hao, Zhenjiang Miao, Feiyue Zhu, Gang Zhang, and Song Li. "Automatic Labanotation Generation Based on Human Motion Capture Data." In Communications in Computer and Information Science, 426–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45646-0_44.
Повний текст джерелаXiao, Zhidong, Hammadi Nait-Charif, and Jian J. Zhang. "Automatic Estimation of Skeletal Motion from Optical Motion Capture Data." In Motion in Games, 144–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89220-5_15.
Повний текст джерелаBollig, Benedikt. "An Automaton over Data Words That Captures EMSO Logic." In CONCUR 2011 – Concurrency Theory, 171–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23217-6_12.
Повний текст джерелаChacko, Anu Mary, Alfredo Cuzzocrea, and S. D. Madhu Kumar. "Automatic Big Data Provenance Capture at Middleware Level in Advanced Big Data Frameworks." In Connected Environments for the Internet of Things, 219–39. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70102-8_11.
Повний текст джерелаGuo, Xiaoyue, Shibiao Xu, Wujun Che, and Xiaopeng Zhang. "Automatic Motion Generation Based on Path Editing from Motion Capture Data." In Transactions on Edutainment IV, 91–104. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14484-4_9.
Повний текст джерелаHagn, Korbinian, and Oliver Grau. "Optimized Data Synthesis for DNN Training and Validation by Sensor Artifact Simulation." In Deep Neural Networks and Data for Automated Driving, 127–47. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-01233-4_4.
Повний текст джерелаSun, Wei, Shaoxiong Ji, Erik Cambria, and Pekka Marttinen. "Multitask Recalibrated Aggregation Network for Medical Code Prediction." In Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 367–83. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86514-6_23.
Повний текст джерелаBelcore, Elena, Vincenzo Di Pietra, Nives Grasso, Marco Piras, Francesco Tondolo, Pierclaudio Savino, Daniel Rodriguez Polania, and Anna Osello. "Towards a FOSS Automatic Classification of Defects for Bridges Structural Health Monitoring." In Communications in Computer and Information Science, 298–312. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-94426-1_22.
Повний текст джерелаТези доповідей конференцій з теми "Automated Data Capture"
"Specifying and Analyzing Workflows for Automated Identification and Data Capture." In 2009 42nd Hawaii International Conference on System Sciences. IEEE, 2009. http://dx.doi.org/10.1109/hicss.2009.402.
Повний текст джерелаBhowmik, Tanmay, Austin Reid Thompson, Anh Quoc Do, and Nan Niu. "Automated Support to Capture Environment Assertions for Requirements-Based Testing." In 2021 IEEE 22nd International Conference on Information Reuse and Integration for Data Science (IRI). IEEE, 2021. http://dx.doi.org/10.1109/iri51335.2021.00023.
Повний текст джерелаJordan, Colin Lyle, Roozbeh Koochak, Martin Roberts, Ajay Nalonnil, and Mike Honeychurch. "A Holistic Approach to Big Data and Data Analytics for Automated Reservoir Surveillance and Analysis." In SPE Asia Pacific Oil & Gas Conference and Exhibition. SPE, 2022. http://dx.doi.org/10.2118/210757-ms.
Повний текст джерелаChamberlain, Daniel, Adrian Jimenez-Galindo, Richard Ribón Fletcher, and Rahul Kodgule. "Applying Augmented Reality to Enable Automated and Low-Cost Data Capture from Medical Devices." In ICTD '16: Eighth International Conference on Information and Communication Technologies and Development. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2909609.2909626.
Повний текст джерелаSwanson, Matthew, Eric Johnson, and Alexander Stoytchev. "Automated Weld Integrity Analysis Using 3D Point Data." In ASME 2010 World Conference on Innovative Virtual Reality. ASMEDC, 2010. http://dx.doi.org/10.1115/winvr2010-3769.
Повний текст джерелаSung, Raymond C. W., James M. Ritchie, Theodore Lim, Aparajithan Sivanathan, and Mike J. Chantler. "The Evaluation of a Virtual-Aided Design Engineering Review (VADER) System for Automated Knowledge Capture and Reuse." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-12030.
Повний текст джерелаMohamad, Hamdi, Felicity Anai Anak Michael Mulok, Douwe Franssens, Nurfitrah Mat Noh, Diego Patino, and Janna Tiong Mang Ing. "Innovative Automated Data Driven Daily Drilling Reporting Using Automated Data-Driven Models and a Digital Execution Platform." In IADC/SPE Asia Pacific Drilling Technology Conference and Exhibition. SPE, 2022. http://dx.doi.org/10.2118/209894-ms.
Повний текст джерелаBellistri, Domenico, Jeff Vinyard, and Cameron Seward. "Improved Inspection Through Full Matrix Capture Technology." In 2020 13th International Pipeline Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/ipc2020-9595.
Повний текст джерелаMathá, Natalia, Konstantin Schekotihin, Matthias Bergner, Doriana Cobârzan, and Marco Hudelist. "Automated Labeling Infrastructure for Failure Analysis." In ISTFA 2022. ASM International, 2022. http://dx.doi.org/10.31399/asm.cp.istfa2022p0036.
Повний текст джерелаSingh, Manish Kumar, Humberto Parra, Obeida El Jundi, Houcine Ben Jeddou, Chakib Kada Kloucha, and Hussein Mustapha. "Using Machine Learning to Capture High-Permeability Streaks in Reservoir Models." In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/211661-ms.
Повний текст джерелаЗвіти організацій з теми "Automated Data Capture"
Berney, Ernest, Jami Lynn Daugherty, and Lulu Edwards. Validation of the automatic dynamic cone penetrometer. Engineer Research and Development Center (U.S.), July 2022. http://dx.doi.org/10.21079/11681/44704.
Повний текст джерелаYan, Yujie, and Jerome F. Hajjar. Automated Damage Assessment and Structural Modeling of Bridges with Visual Sensing Technology. Northeastern University, May 2021. http://dx.doi.org/10.17760/d20410114.
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