Academic literature on the topic 'Real-time acquisition'
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Journal articles on the topic "Real-time acquisition":
Rusinkiewicz, Szymon, Olaf Hall-Holt, and Marc Levoy. "Real-time 3D model acquisition." ACM Transactions on Graphics 21, no. 3 (July 2002): 438–46. http://dx.doi.org/10.1145/566654.566600.
Wong, M., D. Zhang, W. K. Kong, and G. Lu. "Real-time palmprint acquisition system design." IEE Proceedings - Vision, Image, and Signal Processing 152, no. 5 (2005): 527. http://dx.doi.org/10.1049/ip-vis:20049040.
Backus, P. R., J. C. Jordan, and D. G. Harper. "Real time data acquisition in SETI." Acta Astronautica 26, no. 3-4 (March 1992): 169–72. http://dx.doi.org/10.1016/0094-5765(92)90090-6.
Braunbeck, G., M. Kaindl, A. M. Waeber, and F. Reinhard. "Decoherence mitigation by real-time noise acquisition." Journal of Applied Physics 130, no. 5 (August 7, 2021): 054302. http://dx.doi.org/10.1063/5.0048140.
Jaravine, Victor A., and Vladislav Yu Orekhov. "Targeted Acquisition for Real-Time NMR Spectroscopy." Journal of the American Chemical Society 128, no. 41 (October 2006): 13421–26. http://dx.doi.org/10.1021/ja062146p.
Taylor, S., and R. Taylor. "Parallel processing and real-time data acquisition." IEEE Transactions on Nuclear Science 37, no. 2 (April 1990): 355–60. http://dx.doi.org/10.1109/23.106644.
Muratore, John, Troy Heindel, Terri Murphy, Arthur Rasmussen, and Robert McFarland. "Real-time data acquisition at mission control." Communications of the ACM 33, no. 12 (December 1990): 18–31. http://dx.doi.org/10.1145/96267.96277.
Buono, S., I. Gaponenko, R. Jones, L. Mapelli, G. Mornacchi, D. Prigent, E. Sanchez-Corral, et al. "Real-time UNIX in HEP data acquisition." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 352, no. 1-2 (December 1994): 213–15. http://dx.doi.org/10.1016/0168-9002(94)91503-2.
Rottmann, J., D. Kozono, R. Mak, A. Chen, F. L. Hacker, and R. I. Berbeco. "Verification Real-Time Image Acquisition System (VERITAS)." International Journal of Radiation Oncology*Biology*Physics 90, no. 1 (September 2014): S892—S893. http://dx.doi.org/10.1016/j.ijrobp.2014.05.2541.
Singh, Baljeet, Nitin Kumar, Irshad Ahmed, and Karun Yadav. "Real-Time Object Detection Using Deep Learning." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (May 31, 2022): 3159–60. http://dx.doi.org/10.22214/ijraset.2022.42820.
Dissertations / Theses on the topic "Real-time acquisition":
Noriega, Gerardo. "MULTIPROCESSOR BASED REAL-TIME DATA ACQUISITION SYSTEMS." International Foundation for Telemetering, 1992. http://hdl.handle.net/10150/608903.
Equipment for data collection and recording has widespread use in a variety of engineering applications. This paper deals with the use of multiprocessor-based architectures in digital data acquisition systems, emphasizing advantages in terms of flexibility and overall system throughput, and the characteristics of the embedded operating system. An overview of the basic architecture of typical data acquisition systems is first presented, followed by a description of a multiprocessing architecture for data acquisition in real-time environments where multiple sampling rates are employed to monitor analog and digital data from different sources. Software and hardware techniques are covered, including the multiplexing of analog signals, digital signal processing, use of masking techniques in the processing of serial data streams, and the use of multi-point buses for communications with peripheral devices. The characteristics of a real-time multi-tasking operating system are analysed. This is the core of the software in any data acquisition system which must meet real-time constraints. In turn, the core of the operating system is the real-time kernel. Emphasis is put into the organization of the kernel, covering issues such as kernel primitives, service calls, interrupt service routines, process scheduling, memory management, and communications and synchronization between processes.
Ghosh, Sushmita. "Real time data acquisition for load management." Thesis, Virginia Tech, 1985. http://hdl.handle.net/10919/45726.
Master of Science
Sridharan, Kousik Sarathy. "Real-time acquisition and analysis ofElectro-oculography signals." Thesis, Linköpings universitet, Biomedicinsk instrumentteknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-76734.
Powell, Richard, and Jeff Kuhn. "HARDWARE- VS. SOFTWARE-DRIVEN REAL-TIME DATA ACQUISITION." International Foundation for Telemetering, 2000. http://hdl.handle.net/10150/608291.
There are two basic approaches to developing data acquisition systems. The first is to buy or develop acquisition hardware and to then write software to input, identify, and distribute the data for processing, display, storage, and output to a network. The second is to design a system that handles some or all of these tasks in hardware instead of software. This paper describes the differences between software-driven and hardware-driven system architectures as applied to real-time data acquisition systems. In explaining the characteristics of a hardware-driven system, a high-performance real-time bus system architecture developed by L-3 will be used as an example. This architecture removes the bottlenecks and unpredictability that can plague software-driven systems when applied to complex real-time data acquisition applications. It does this by handling the input, identification, routing, and distribution of acquired data without software intervention.
Modise, Stephen Karabo. "Development of a real time radar acquisition system." Master's thesis, University of Cape Town, 2002. http://hdl.handle.net/11427/7704.
The Geosonde radar system, developed for use in bore holes, includes a data acquisition system. Development is currently being conducted by the Radar Remote Sensing Group at the University of Cape Town and Stellenbosch University. This thesis describes the development of a real time operating system and an overall upgrade of basic interfaces to the Geosonde system. The current system employs the use of an embedded MS-DOS operating system and supports basic user control and data exporting over a serial line. The objectives of this thesis are to perform major upgrades on the system by introducing an XML based form of network control and NTP synchronization of the processing board. As a result, an investigation into the adequacy of MS-DOS as a target operating system, bearing in mind the intended upgrades, was carried out. Taking into consideration the failings of MS-DOS as far as the system requirements are concerned, an investigation into available real time executives was conducted and a decision based on the requirements was made. Embedded GNU/Linux was chosen as the target software platform. The software design of the application shows all the necessary design issues considered. The implementation phase of the thesis describes all the tools necessary to implement the embedded Linux system and all the components necessary to meet the needs of the Geosonde system. The network and serial interfaces were tested and shown to be fully functional. The XML based control in particular offers a more flexible and more platform independent solution than the serial interface.
Powers, Linda S., Yiming Zhang, Kemeng Chen, Huiqing Pan, Wo-Tak Wu, Peter W. Hall, Jerrie V. Fairbanks, Radik Nasibulin, and Janet M. Roveda. "Low power real-time data acquisition using compressive sensing." SPIE-INT SOC OPTICAL ENGINEERING, 2017. http://hdl.handle.net/10150/626011.
Jonas, Eric Michael. "Real-time analog acquisition of electrophysiological signals with Soma." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/61306.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 71-72).
Soma is a high-density recording system for real-time acquisition and analysis of extracellular electrophysiological signals. Here I describe the design, implementation, and evaluation of the Soma Acquisition Board, an 8-channel low-latency amplifier for amplification and digitization of these signals. Design trade-offs are discussed, and the resulting analog performance is quantified.
by Eric Michael Jonas.
M.Eng.
Dahan, Michael. "RTDAP: Real-Time Data Acquisition, Processing and Display System." International Foundation for Telemetering, 1989. http://hdl.handle.net/10150/614629.
This paper describes a data acquisition, processing and display system which is suitable for various telemetry applications. The system can be connected either to a PCM encoder or to a telemetry decommutator through a built-in interface and can directly address any channel from the PCM stream for processing. Its compact size and simplicity allow it to be used in the flight line as a test console, in mobile stations as the main data processing system, or on-board test civil aircrafts for in-flight monitoring and data processing.
Achtzehnter, Joachim, and Preston Hauck. "REAL-TIME TENA-ENABLED DATA GATEWAY." International Foundation for Telemetering, 2004. http://hdl.handle.net/10150/605318.
This paper describes the TENA architecture, which has been proposed by the Foundation Initiative 2010 (FI 2010) project as the basis for future US Test Range software systems. The benefits of this new architecture are explained by comparing the future TENA-enabled range infrastructure with the current situation of largely non-interoperable range resources. Legacy equipment and newly acquired off-the-shelf equipment that does not directly support TENA can be integrated into a TENA environment using TENA Gateways. This paper focuses on issues related to the construction of such gateways, including the important issue of real-time requirements when dealing with real-world data acquisition instruments. The benefits of leveraging commercial off-the-shelf (COTS) Data Acquisition Systems that are based on true real-time operating systems are discussed in the context of TENA Gateway construction.
Fujii, Toshiaki, Tomohiro Yendo, and Masayuki Tanimoto. "Ray-Space Transmission System with Real-Time Acquisition and Display." IEEE, 2007. http://hdl.handle.net/2237/9525.
Books on the topic "Real-time acquisition":
Bernstein, Herbert J. Constraints in real-time data acquisition and control. New York: Courant Institute of Mathematical Sciences, New York University, 1985.
Joseph, Babu. Real-time personal computing: Fordata acquisition and control. Englewood Cliffs: Prentice Hall, 1989.
Joseph, Babu. Real-time personal computing: For data acquisition and control. Englewood Cliffs, N.J: Prentice-Hall, 1989.
Schaeren, Peter. Real-time 3-D scene acquisition by monocular motion induced stero. Konstanz: Hartung-Gorre, 1994.
D, Kooker Lawrence, Boyle Michael E, and Geological Survey (U.S.), eds. MudScan: PC based sidescan sonar real-time data acquisition logging and display system. [Menlo Park, Ca.?]: U.S. Dept. of the Interior, U.S. Geological Survey ; a [Denver, Colo., 1993.
Crocker, G. W. Digital real-time control of Daisy's reaction wheels, ribs and hub. Downsview, Ont: Dept. of Aerospace Science and Engineering, 1989.
Hermosillo-Valadez, J. Real-time signal demodulation in a DSP-based electrical impedance tomography data acquisition system. Manchester: UMIST, 1994.
Atlantic Oceanographic and Meteorological Laboratories., ed. Object-oriented analysis of a near real-time marine environmental data acquisition and reporting system. Miami, Fla: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Atlantic Oceanographic and Meteorological Laboratory, 1996.
Atlantic Oceanographic and Meteorological Laboratories, ed. Object-oriented analysis of a near real-time marine environmental data acquisition and reporting system. Miami, Fla: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Atlantic Oceanographic and Meteorological Laboratory, 1996.
Atlantic Oceanographic and Meteorological Laboratories., ed. Object-oriented design of a near real-time marine environmental data acquisition and reporting system. Miami, Fla: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Atlantic Oceanographic and Meteorological Laboratory, 1996.
Book chapters on the topic "Real-time acquisition":
Humberto da Silva, Hugo Plácido, Hugo Silveira Filipe Gamboa, Rui Sousa Pedro Varandas, and Guilherme dos Alexandre Santos Espadanal Ramos. "Real-Time Analytics." In Biosignal Acquisition and Processing, 125–43. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-35187-7_9.
Di Paolo Emilio, Maurizio. "Real Time Operating System (RTOS)." In Embedded Systems Design for High-Speed Data Acquisition and Control, 101–18. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06865-7_6.
Vuylsteke, P., C. B. Price, and A. Oosterlinck. "Image Sensors for Real-Time 3D Acquisition." In Traditional and Non-Traditional Robotic Sensors, 187–210. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-75984-0_14.
De Groof, M., P. Suetens, G. Marchal, and A. Oosterlinck. "Image Sensors for Real-Time 3D Acquisition." In Traditional and Non-Traditional Robotic Sensors, 211–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-75984-0_15.
Rietmann, Max, Praveen Nakshatrala, Jonathan Lefman, and Geetika Gupta. "Real-Time Edge Processing During Data Acquisition." In Communications in Computer and Information Science, 191–205. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-23606-8_12.
Mahjoubfar, Ata, Claire Lifan Chen, and Bahram Jalali. "Big Data Acquisition and Processing in Real-Time." In Artificial Intelligence in Label-free Microscopy, 67–71. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51448-2_7.
Liu, Yaqin, Yujia Zhou, Shirong Qiu, Jirui Qin, and Yixiao Nie. "Real-Time Locating Method for Palmvein Image Acquisition." In Lecture Notes in Computer Science, 94–110. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21969-1_9.
Kalaivani, S., I. Shahnaz, Shaikh Rizwana Shirin, and C. Tharini. "Real-Time ECG Acquisition and Detection of Anomalies." In Advances in Intelligent Systems and Computing, 503–13. New Delhi: Springer India, 2016. http://dx.doi.org/10.1007/978-81-322-2656-7_46.
Lu, Xinjie, Xin Li, Tian Yang, Zaifei Liao, Wei Liu, and Hongan Wang. "QoS-Aware Publish-Subscribe Service for Real-Time Data Acquisition." In Business Intelligence for the Real-Time Enterprise, 29–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03422-0_3.
Kast, C., M. Krenn, W. Aramphianlert, C. Hofer, O. C. Aszmann, and W. Mayr. "Modular Multi-channel Real-time Bio-signal Acquisition System." In International Conference on Advancements of Medicine and Health Care through Technology; 12th - 15th October 2016, Cluj-Napoca, Romania, 95–98. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52875-5_21.
Conference papers on the topic "Real-time acquisition":
Yasu, Yoshiji, Kazuo Nakayoshi, Eiji Inoue, Hiroshi Sendai, Hirofumi Fujii, Noriaki Ando, Tetsuo Kotoku, Satoshi Hirano, Takaya Kubota, and Takeshi Ohkawa. "A Data Acquisition Middleware." In 2007 15th IEEE-NPSS Real-Time Conference. IEEE, 2007. http://dx.doi.org/10.1109/rtc.2007.4382850.
Zhang, Jinlong. "ATLAS data acquisition." In 2009 16th IEEE-NPSS Real Time Conference (RT). IEEE, 2009. http://dx.doi.org/10.1109/rtc.2009.5321758.
Adamczewski, J., H. G. Essel, N. Kurz, and S. Linev. "Data Acquisition Backbone Core DABC." In 2007 15th IEEE-NPSS Real-Time Conference. IEEE, 2007. http://dx.doi.org/10.1109/rtc.2007.4382824.
Bai, Yunpeng, Dominic Gaisbauer, Stefan Huber, Igor Konorov, Dmytro Levit, Dominik Steffen, and Stephan Paul. "Intelligent FPGA data acquisition framework." In 2016 IEEE-NPSS Real Time Conference (RT). IEEE, 2016. http://dx.doi.org/10.1109/rtc.2016.7543135.
Sukhanov, A., P. Kulinich, and P. Sarin. "A gigabit/s data acquisition system." In 14th IEEE-NPSS Real Time Conference, 2005. IEEE, 2005. http://dx.doi.org/10.1109/rtc.2005.1547512.
Rusinkiewicz, Szymon, Olaf Hall-Holt, and Marc Levoy. "Real-time 3D model acquisition." In the 29th annual conference. New York, New York, USA: ACM Press, 2002. http://dx.doi.org/10.1145/566570.566600.
DeGroaf, J. E., D. Herman, I. V. Kotova, M. A. Lisa, K. Ryan, and F. Bieser. "Data acquisition board with optical gigabit interface." In 14th IEEE-NPSS Real Time Conference, 2005. IEEE, 2005. http://dx.doi.org/10.1109/rtc.2005.1547400.
Garufi, Fabio, Fausto Acernese, Alfonso Boiano, Rosario De Rosa, Rocco Romano, and Fabrizio Barone. "A hybrid modular control and acquisition system." In 2007 15th IEEE-NPSS Real-Time Conference. IEEE, 2007. http://dx.doi.org/10.1109/rtc.2007.4382783.
Lacasta, C., E. Cochran, K. Honscheid, G. Llosa, and A. Studen. "DAQ++: A C++ Data Acquisition Software Framework." In 2007 15th IEEE-NPSS Real-Time Conference. IEEE, 2007. http://dx.doi.org/10.1109/rtc.2007.4382786.
Ameli, F. "Data Acquisition and Transport for NEMO Project." In 2007 15th IEEE-NPSS Real-Time Conference. IEEE, 2007. http://dx.doi.org/10.1109/rtc.2007.4382828.
Reports on the topic "Real-time acquisition":
Neiderer, Andrew M., and John Richardson. Web-Based Programming for Real-Time News Acquisition. Fort Belvoir, VA: Defense Technical Information Center, September 2007. http://dx.doi.org/10.21236/ada474080.
Powell, Warren B. Information Acquisition and Representation Methods for Real-Time Asset Management. Fort Belvoir, VA: Defense Technical Information Center, June 2008. http://dx.doi.org/10.21236/ada484498.
R.J. Marsala and J. Schneider. National Spherical Torus Experiment Real Time Plasma Control Data Acquisition Hardware. Office of Scientific and Technical Information (OSTI), August 2002. http://dx.doi.org/10.2172/808382.
Au, W. W., and D. L. Herzing. Real - Time Acquisition of Echolocation Signals by Wild Atlantic Spotted Dolphins. Fort Belvoir, VA: Defense Technical Information Center, November 1997. http://dx.doi.org/10.21236/ada362339.
Cary, W. P., J. A. Allen, R. I. Pinsker, and C. C. Petty. ICH rf system data acquisition and real time control using a microcomputer system. Office of Scientific and Technical Information (OSTI), October 1993. http://dx.doi.org/10.2172/10186318.
Au, W. W., and D. L. Herzing. Real-Time Acquisition of Echolocation Signals by Wild Atlantic Spotted Dolphin, Stenella frontalis, Utilizing Hydrophone Arrays with Simultaneous Underwater Video. Fort Belvoir, VA: Defense Technical Information Center, November 1997. http://dx.doi.org/10.21236/ada333284.
Kong, Zhihao, and Na Lu. Determining Optimal Traffic Opening Time Through Concrete Strength Monitoring: Wireless Sensing. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317613.
Blackman, Allen, and Bridget Hoffmann. Breathe Easy, There's an App for That: Using Information and Communication Technology to Avoid Air Pollution in Bogotá. Inter-American Development Bank, November 2021. http://dx.doi.org/10.18235/0003725.
Li, Baisong, and Bo Xu. PR-469-19604-Z01 Auto Diagnostic Method Development for Ultrasonic Flow Meter. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), February 2022. http://dx.doi.org/10.55274/r0012204.
Tzonev, Nick. PR-396-183905-R01 Autonomous System For Monitoring Pipeline River Crossings. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), June 2021. http://dx.doi.org/10.55274/r0012110.