Relevant bibliographies by topics / Real Time automation

Contents

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

Academic literature on the topic 'Real Time automation'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Real Time automation"

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Kumar, Kallakunta Ravi, and Shaik Akbar. "Android Application Based Real Time Home Automation." Indian Journal of Applied Research 4, no. 7 (October 1, 2011): 188–90. http://dx.doi.org/10.15373/2249555x/july2014/57.

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Ragavan, S. Veera, Velappa Ganapathy, and Ibrahim Kusumah Kusnanto. "Rapid Automation Application Deployment Framework for Real Time Process and Industrial Automation Systems." International Journal of Computer Theory and Engineering 6, no. 6 (December 2014): 515–20. http://dx.doi.org/10.7763/ijcte.2014.v6.920.

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Chang, Wanli, Ran Wei, Shuai Zhao, Andy Wellings, Jim Woodcock, and Alan Burns. "Development Automation of Real-Time Java." ACM Transactions on Embedded Computing Systems 19, no. 5 (November 11, 2020): 1–26. http://dx.doi.org/10.1145/3391897.

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Rzehak, H. "Distributed Real-Time Systems for Manufacturing Automation." IFAC Proceedings Volumes 25, no. 6 (May 1992): 329–34. http://dx.doi.org/10.1016/s1474-6670(17)50926-x.

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., Aatmling B. Narayanpure. "MULTIPLY YOUR BUSINESS WITH REAL TIME AUTOMATION." International Journal of Research in Engineering and Technology 06, no. 05 (May 25, 2017): 92–97. http://dx.doi.org/10.15623/ijret.2017.0605016.

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Molinari, Fabio, Alexander Katriniok, and Jörg Raisch. "Real-Time Distributed Automation Of Road Intersections." IFAC-PapersOnLine 53, no. 2 (2020): 2606–13. http://dx.doi.org/10.1016/j.ifacol.2020.12.309.

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Prakash, Patil Piyush, Digvijay Patil, Rupesh Patil, Vijay D. Chaudhari, and A. J. Patil. "Real Time Street Light Automation Using Arduino." International Journal of Innovations in Engineering and Science 6, no. 10 (August 23, 2021): 125. http://dx.doi.org/10.46335/ijies.2021.6.10.26.

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Atalay, İsmail, Oğuz Alper İsen, Emin Cantez, Serkan Aydın, and Onur Akyel. "Integrated Real Time Image Processing In Robotic Automation Line." Academic Perspective Procedia 3, no. 1 (October 25, 2020): 141–50. http://dx.doi.org/10.33793/acperpro.03.01.33.

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Robotic automation systems includes higher production rates and increased productivity, more efficient use of materials, better product quality, improved safety, and reduced factory lead times. Higher output and increased productivity have been two of the biggest reasons in justifying the use of automation. Despite the claims of high quality from good workmanship by humans, automated systems typically perform the manufacturing process with less variability than human workers, resulting in greater control and consistency of product quality. Also, increased process control makes more efficient use of materials, resulting in less scrap. Despite all these advantages, the final product control is still carried out by workers. In this study, it is planned to prevent quality problems with a video processing that integrates with the robotic automation line in order to solve the final quality problem. This system, which controls the movements of the worker in the predetermined motion routes with the signals coming from the line. It aims to ensure that the products going to the customer are completely error free.
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Denney, Dennis. "Gas Lift Automation: Real-Time Data to Desktop." Journal of Petroleum Technology 55, no. 11 (November 1, 2003): 63–64. http://dx.doi.org/10.2118/1103-0063-jpt.

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Chandran, Anandhu. "Real Time Smart Energy Meter and Load Automation." International Journal of Advances in Computer Science and Technology 9, no. 6 (June 25, 2020): 10–14. http://dx.doi.org/10.30534/ijacst/2020/02962020.

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Dissertations / Theses on the topic "Real Time automation"

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Howell, S. "The real-time optimisation of electron spectrometers." Thesis, University of Manchester, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.356106.

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Blixt, Fanny. "Real-time auto-test monitoring system." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-85824.

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At Marginalen Bank, there are several microservices containing endpoints that are covered bytest automation. The documentation of which microservices and endpoints that are covered byautomated tests is currently done manually and is proven to contain mistakes. In the documentation, the test coverage for all microservices together and for every individual microserviceis presented. Marginalen Bank needs a way to automate this process with a system that cantake care of test coverage documentation and present the calculated data. Therefore, the purpose of this research is to find a way to create a real-time auto-test monitoring system thatautomatically detects and monitors microservices, endpoints, and test automation to documentand present test automation coverage on a website. The system is required to daily detect andupdate the documentation to be accurate and regularly find eventual changes. The implemented system that detects and documents the test automation coverage is calledTest Autobahn. For the system to detect all microservices, a custom hosted service was implemented that registers microservices. All microservices with the custom hosted service installedand extended to registers to Test Autobahn when deployed on a server. For the system todetect all endpoints of each microservice, a custom middleware was implemented that exposesall endpoints of a microservice with it installed. For the microservices to be able to install theseand get registered, a NuGet package containing the custom hosted service and the custom middleware, was created. To detect test automations, custom attributes models were created thatare supposed to be inserted into each test automation project. The custom attributes are placedin every test class and method within a project, to mark which microservice and endpoint thatis being tested within every automated test. The attributes of a project can be read throughthe assembly. To read the custom attributes within every test automation project, a consoleapplication, called Test Autobahn Automation Detector (TAAD), was implemented. TAADreads the assembly to detect the test automations and sends them to Test Autobahn. Test Autobahn couples the found test automation to the corresponding microservices and endpoints.TAAD is installed and ran on the build pipeline in Azure DevOps for each test automationproject to register the test automations. To daily detect and update the documentation of the test coverage, Quartz.NET hosted serviceis used. With Quartz.NET implemented, Test Autobahn can execute a specified job on a schedule. Within the job, Test Autobahn detects microservices and endpoints and calculates the testautomation coverage for the detection. The calculation of the test coverage from the latestdetection is presented on the webpage, containing both the test coverage for all microservicestogether and the test coverage for each microservice. According to the evaluations, the systemseems to function as anticipated, and the documentation is displaying the expected data.
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Bodner, Douglas Anthony. "Real-time control approaches to deadlock management in automated manufacturing systems." Diss., Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/25607.

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Aksu, Muharrem Ugur. "Environment behavior models for real-time reactive system testing automation." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2006. http://library.nps.navy.mil/uhtbin/hyperion/06Sep%5FAksu.pdf.

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Thesis (M.S. in Computer Science and M.S. in Software Engineering)--Naval Postgraduate School, September 2006.
Thesis Advisor(s): Mikhail Auguston, Man-Tak Shing. "September 2006." Includes bibliographical references (p. 71-). Also available in print.
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Clare, Andrew S. "Modeling real-time human-automation collaborative scheduling of unmanned vehicles." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/82469.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2013.
This electronic version was submitted and approved by the author's academic department as part of an electronic thesis pilot project. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from department-submitted PDF version of thesis.
Includes bibliographical references (p. 325-336).
Recent advances in autonomy have enabled a future vision of single operator control of multiple heterogeneous Unmanned Vehicles (UVs). Real-time scheduling for multiple UVs in uncertain environments will require the computational ability of optimization algorithms combined with the judgment and adaptability of human supervisors. Automated Schedulers (AS), while faster and more accurate than humans at complex computation, are notoriously "brittle" in that they can only take into account those quantifiable variables, parameters, objectives, and constraints identified in the design stages that were deemed to be critical. Previous research has shown that when human operators collaborate with AS in real-time operations, inappropriate levels of operator trust, high operator workload, and a lack of goal alignment between the operator and AS can cause lower system performance and costly or deadly errors. Currently, designers trying to address these issues test different system components, training methods, and interaction modalities through costly human-in-the-loop testing. Thus, the objective of this thesis was to develop and validate a computational model of real-time human-automation collaborative scheduling of multiple UVs. First, attributes that are important to consider when modeling real-time human-automation collaborative scheduling were identified, providing a theoretical basis for the model proposed in this thesis. Second, a Collaborative Human-Automation Scheduling (CHAS) model was developed using system dynamics modeling techniques, enabling the model to capture non-linear human behavior and performance patterns, latencies and feedback interactions in the system, and qualitative variables such as human trust in automation. The CHAS model can aid a designer of future UV systems by simulating the impact of changes in system design and operator training on human and system performance. This can reduce the need for time-consuming human-in-the-loop testing that is typically required to evaluate such changes. It can also allow the designer to explore a wider trade space of system changes than is possible through prototyping or experimentation. Through a multi-stage validation process, the CHAS model was tested on three experimental data sets to build confidence in the accuracy and robustness of the model under different conditions. Next, the CHAS model was used to develop recommendations for system design and training changes to improve system performance. These changes were implemented and through an additional set of human subject experiments, the quantitative predictions of the CHAS model were validated. Specifically, test subjects who play computer and video games frequently were found to have a higher propensity to over-trust automation. By priming these gamers to lower their initial trust to a more appropriate level, system performance was improved by 10% as compared to gamers who were primed to have higher trust in the AS. The CHAS model provided accurate quantitative predictions of the impact of priming operator trust on system performance. Finally, the boundary conditions, limitations, and generalizability of the CHAS model for use with other real-time human-automation collaborative scheduling systems were evaluated.
by Andrew S. Clare.
Ph.D.
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Wong, Denis Kow Son. "Automation of region specific scanning for real time medical systems." Master's thesis, University of Cape Town, 2012. http://hdl.handle.net/11427/12027.

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X-rays have played a vital role in both the medical and security sectors. However, there is a limit to the amount of radiation a body can receive before it becomes a health risk. Modern low dose x-ray devices operate using a c-arm which moves across the entire human body. This research reduces the radiation applied to the human body by isolating the region that needs exposure. The medical scanner that this work is based on is still under development and therefore a prototype of the scanner is developed for running simulations. A camera is attached onto the prototype and used to point out the regions that are required to be scanned. This is both faster and more accurate than the traditional method of manually specifying the areas.
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Sun, Qi-zhi. "Knowledge-based interactive real-time control system in product-focused manufacturing environment." Thesis, University of Portsmouth, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.292501.

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Puchol, Carlos Miguel. "An automation-based design methodolgy [sic] for distributed, hard real-time systems /." Digital version accessible at:, 1998. http://wwwlib.umi.com/cr/utexas/main.

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Otero, Sonia. "A real-time distributed analysis automation for hurricane surface wind observations." FIU Digital Commons, 2002. https://digitalcommons.fiu.edu/etd/3466.

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From 1993 until 1999, the Hurricane Research Division of the National Oceanic and Atmospheric Administration (NOAA) produced real-time analyses of surface wind observations to help determine a storm's wind intensity and extent. Limitations of the real-time analysis system included platform and filesystem dependency, lacking data integrity and feasibility for Internet deployment. In 2000, a new system was developed, built upon a Java prototype of a quality control graphical client interface for wind observations and an object-relational database. The objective was to integrate them in a distributed object approach with the legacy code responsible for the actual real-time wind analysis and image product generation. Common Object Request Broker Architecture (CORBA) was evaluated, but Java Remote Method Invocation (AMI) offered important advantages in terms of reuse and deployment. Even more substantial, though, were the efforts towards object-oriented redesign, implementation and testing of the quality control interface and its database performance interaction. As a result, a full-featured application can now be launched from the Web, potentially accessible by tropical cyclone forecast and warning centers worldwide.
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Vo, Do. "Automation, Annunciation, and Emergency Safety Shutdown of a Laboratory Microgrid Using a Real-Time Automation Controller (RTAC)." DigitalCommons@CalPoly, 2021. https://digitalcommons.calpoly.edu/theses/2292.

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Over the last decade, microgrid deployments throughout the world have increased. In 2019, a record number of 546 microgrids were installed in the United States [1]. This trend continues upward to combat extreme weather conditions and power shortages throughout the country. To better equip students with the necessary skillsets and knowledge to advance in the microgrid field, Cal Poly San Luis Obispo's Electrical Engineering Department and the Power Energy Institute have invested resources to develop a laboratory microgrid. This thesis sets to improve the laboratory microgrid's existing automation using the Schweitzer Engineering Laboratory SEL-3530 Real-time Automation Controller (RTAC). The improved automation features a new load-shedding scheme, LCD annunciator and meter panel, and emergency safety shutdown system. The load shedding scheme aims to enhance the grid's frequency stability when the inverter-based power output declines. The LCD annunciator and meter panels provide real-time oversight of the microgrid operating conditions via the RTAC Human Machine Interface (HMI). The emergency safety shutdown enables prompt de-energization and complete isolation of the laboratory microgrid in hazardous conditions such as earthquake, fire, arcing, and equipment malfunction and activates an audible siren to alert help. This safety system provides safety and peace of mind for students and faculties who operate the Microgrid. Lastly, this thesis provides an operating procedure for ease of operation and experiment.
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Books on the topic "Real Time automation"

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Zoitl, Alois. Real-time execution for IEC 61499. Research Triangle Park, NC: Instrumentation, Systems, and Automation Society, 2009.

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M, Sacha Krzysztof, ed. Real-time systems: Implementation of industrial computerised process automation. Singapore: World Scientific, 1992.

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Chen, Deji. WirelessHART™: Real-Time Mesh Network for Industrial Automation. Boston, MA: Springer Science+Business Media, LLC, 2010.

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Trsek, Henning. Isochronous Wireless Network for Real-time Communication in Industrial Automation. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-49158-4.

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Jackson, Richard Henry Frymuth. Hierarchical control and real-time optimization in automated manufacturing systems. [Washington, D.C.?]: U.S. Dept. of Commerce, National Bureau of Standards, 1986.

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L, Kennedy Scott, ed. Manufacturing in real-time: Managers, engineers and an age of smart machines. Amsterdam: Butterworth-Heinemann, 2003.

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Hajilal, M. S. Real time water management in storage based irrigation systems. New Delhi: Central Board of Irrigation and Power, 1997.

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Office, General Accounting. Automated teller machines: Issues related to real-time fee disclosure : report to the Congressional Committees. Washington, D.C. (P.O. Box 37050, Washington, D.C. 20013): The Office, 2000.

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Elia, Alberto. Human-machine interface design for process control safety profiles for real-time ethernet-based industrial automation networks. Research Triangle Park, NC: Instrumentation, Systems, and Automation Society, 2009.

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Cichocki, Andrzej. Workflow and Process Automation: Concepts and Technology. Boston, MA: Springer US, 1998.

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Book chapters on the topic "Real Time automation"

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Dannegger, Christian. "Real-Time Autonomic Automation." In Springer Handbook of Automation, 381–404. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-78831-7_23.

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Abolhassan, Ferri, and Björn Welchering. "Process Automation Using the Real-Time Enterprise Concept." In Business Process Automation, 17–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24702-9_2.

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Filip, F. G. "Towards more humanized real time decision support systems." In Balanced Automation Systems, 230–37. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34910-7_22.

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Modrzyk, Nicolas. "Vision and Home Automation." In Real-Time IoT Imaging with Deep Neural Networks, 161–218. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5722-7_5.

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Rosli, Nenny Ruthfalydia, Uswah Khairuddin, Muhammad Faris Nor Fathi, Anis Salwa Mohd Khairuddin, and Azlin Ahmad. "Real-Time KenalKayu System with YOLOv3." In Advances in Robotics, Automation and Data Analytics, 224–32. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70917-4_22.

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Wong, Chun, Filip Thoen, Francky Catthoor, and Diederik Verkest. "Requirements for Static Task Scheduling in Real Time Embedded Systems." In System Design Automation, 35–44. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4757-6666-0_3.

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Gerardo, M., and M. Sarria. "Application of the Real-Time Concurrent Constraint Calculus." In Intelligent Automation and Systems Engineering, 379–91. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0373-9_29.

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Luo, Hao. "Benchmark Study and Real-Time Implementation." In Plug-and-Play Monitoring and Performance Optimization for Industrial Automation Processes, 109–33. Wiesbaden: Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-15928-3_7.

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Talmale, Girish, and Urmila Shrawankar. "Real Time Edge Computing: An Edge of Automation." In Computing Technologies and Applications, 21–31. Boca Raton: Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781003166702-2.

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Walgampaya, Chamila, Mehmed Kantardzic, and Roman Yampolskiy. "Evidence Fusion for Real Time Click Fraud Detection and Prevention." In Intelligent Automation and Systems Engineering, 1–14. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0373-9_1.

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Conference papers on the topic "Real Time automation"

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Holenderski, Mike, Wim Cools, Reinder J. Bril, and Johan J. Lukkien. "Multiplexing real-time timed events." In Factory Automation (ETFA 2009). IEEE, 2009. http://dx.doi.org/10.1109/etfa.2009.5347183.

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Mirhoseini, Azalia, Yousra Alkabani, and Farinaz Koushanfar. "Real time emulations." In the 47th Design Automation Conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1837274.1837430.

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Gaspar, C., and B. Franek. "Tools for the automation of large distributed control systems." In 14th IEEE-NPSS Real Time Conference, 2005. IEEE, 2005. http://dx.doi.org/10.1109/rtc.2005.1547422.

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Patil, Prachi, Akshay Narkhede, Ajita Chalke, Harshali Kalaskar, and Manita Rajput. "Real time automation of agricultural environment." In 2014 International Conference for Convergence of Technology (I2CT). IEEE, 2014. http://dx.doi.org/10.1109/i2ct.2014.7092040.

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Scordino, Claudio, Ida Maria Savino, Luca Cuomo, Luca Miccio, Andrea Tagliavini, Marko Bertogna, and Marco Solieri. "Real-Time Virtualization For Industrial Automation." In 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE, 2020. http://dx.doi.org/10.1109/etfa46521.2020.9211890.

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Ram, S. Aravindhu, N. Siddarth, N. Manjula, K. Rogan, and K. Srinivasan. "Real-time automation system using Arduino." In 2017 4th International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS). IEEE, 2017. http://dx.doi.org/10.1109/iciiecs.2017.8275845.

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Tarnawski, Jaroslaw, and Tomasz Karla. "Real-time simulation in non real-time environment." In 2016 21st International Conference on Methods and Models in Automation and Robotics (MMAR). IEEE, 2016. http://dx.doi.org/10.1109/mmar.2016.7575200.

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Yang, Yang, Alessandro Pinto, Alberto Sangiovanni-Vincentelli, and Qi Zhu. "A Design Flow for Building Automation and Control Systems." In 2010 IEEE 31st Real-Time Systems Symposium (RTSS). IEEE, 2010. http://dx.doi.org/10.1109/rtss.2010.26.

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Chabrol, Damien, Didier Roux, Vincent David, Mathieu Jan, Moha Ait Hmid, Patrice Oudin, and Gilles Zeppa. "Time- and Angle-triggered Real-time Kernel." In Design Automation and Test in Europe. New Jersey: IEEE Conference Publications, 2013. http://dx.doi.org/10.7873/date.2013.223.

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Schneider, Ben. "Automatic Network Configuration for Real-Time, Distributed Industrial Automation Systems." In 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, 2019. http://dx.doi.org/10.1109/models-c.2019.00096.

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Reports on the topic "Real Time automation"

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Mark J. Stunder, Perry Sebastian, Brenda A. Chube, and Michael D. Koontz. Integration of Real-Time Data Into Building Automation Systems. Office of Scientific and Technical Information (OSTI), April 2003. http://dx.doi.org/10.2172/809900.

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Albus, James Sacra. Mining automation real-time control system architecture standard reference model (MASREM). Gaithersburg, MD: National Bureau of Standards, 1989. http://dx.doi.org/10.6028/nist.tn.1261.

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Huang, Hui-Min. Hierarchical real-time control task decomposition for a coal mining automation project. Gaithersburg, MD: National Institute of Standards and Technology, 1990. http://dx.doi.org/10.6028/nist.ir.90-4271.

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Quintero, Richard, and Anthony Barbera. Applying the NIST real-time control system reference model to submarine automation:. Gaithersburg, MD: National Institute of Standards and Technology, 1993. http://dx.doi.org/10.6028/nist.ir.5126.

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Zhao, Ying, Shelley Gallup, and Douglas MacKinnon. A Web Service Implementation for Large-Scale Automation, Visualization and Real-Time Program Awareness via Lexical Link Analysis. Fort Belvoir, VA: Defense Technical Information Center, April 2011. http://dx.doi.org/10.21236/ada543915.

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Cleveland, Gary A., Richard L. Piazza, and Richard H. Brown. Real Time Automatic Programming. Fort Belvoir, VA: Defense Technical Information Center, February 1990. http://dx.doi.org/10.21236/ada220162.

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Bonakdarpour, Borzoo, and Sandeep S. Kulkarni. Automatic Addition of Fault-Tolerance to Real-Time Programs. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada455712.

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Burch, Jerry R. Trace Algebra for Automatic Verification of Real-Time Concurrent Systems. Fort Belvoir, VA: Defense Technical Information Center, August 1992. http://dx.doi.org/10.21236/ada256199.

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Dill, David. Automatic Verification and Synthesis of Finite-State Hard Real-Time Systems. Fort Belvoir, VA: Defense Technical Information Center, May 1994. http://dx.doi.org/10.21236/ada291279.

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Henzinger, Thomas A. Automatic Methods and Tools for the Verification of Real Time Systems. Fort Belvoir, VA: Defense Technical Information Center, July 1997. http://dx.doi.org/10.21236/ada386880.

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