Academic literature on the topic 'Command and Data Handling'
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Journal articles on the topic "Command and Data Handling"
Mielczarek, Magda, Bartosz Czech, Jarosław Stańczyk, Joanna Szyda, and Bernt Guldbrandtsen. "Extraordinary Command Line: Basic Data Editing Tools for Biologists Dealing with Sequence Data." Open Bioinformatics Journal 13, no. 1 (December 31, 2020): 137–45. http://dx.doi.org/10.2174/1875036202013010137.
Full textLaizans, K., I. Sünter, K. Zalite, H. Kuuste, M. Valgur, K. Tarbe, V. Allik, et al. "Design of the fault tolerant command and data handling subsystem for ESTCube-1." Proceedings of the Estonian Academy of Sciences 63, no. 2S (2014): 222. http://dx.doi.org/10.3176/proc.2014.2s.03.
Full textCieślik, Marcin, Zygmunt S. Derewenda, and Cameron Mura. "Abstractions, algorithms and data structures for structural bioinformatics inPyCogent." Journal of Applied Crystallography 44, no. 2 (February 11, 2011): 424–28. http://dx.doi.org/10.1107/s0021889811004481.
Full textMacnar, Joanna M., Natalia A. Szulc, Justyna D. Kryś, Aleksandra E. Badaczewska-Dawid, and Dominik Gront. "BioShell 3.0: Library for Processing Structural Biology Data." Biomolecules 10, no. 3 (March 16, 2020): 461. http://dx.doi.org/10.3390/biom10030461.
Full textHandayani, Dian, Wavin Nuha Kuntanaka, and Abdul Rahman. "Policy Implementation of Lantamal VIII Manado in Handling Transnational Crimes in the North Sulawesi Marine Border." Journal of Maritime Studies and National Integration 4, no. 1 (June 12, 2020): 45–53. http://dx.doi.org/10.14710/jmsni.v4i1.7815.
Full textBushnell, Glenn S., Ian J. Fialho, Tom McDavid, James L. Allen, and Naveed Quraishi. "Ground and on-orbit command and data handling architectures for the active rack isolation system microgravity flight experiment." Acta Astronautica 53, no. 4-10 (August 2003): 309–16. http://dx.doi.org/10.1016/s0094-5765(03)00146-2.
Full textAnatolyev, Stanislav, and Alena Skolkova. "Many instruments: Implementation in Stata." Stata Journal: Promoting communications on statistics and Stata 19, no. 4 (December 2019): 849–66. http://dx.doi.org/10.1177/1536867x19893627.
Full textTecuapetla-Gómez, Inder, Gerardo López-Saldaña, María Isabel Cruz-López, and Rainer Ressl. "TATSSI: A Free and Open-Source Platform for Analyzing Earth Observation Products with Quality Data Assessment." ISPRS International Journal of Geo-Information 10, no. 4 (April 16, 2021): 267. http://dx.doi.org/10.3390/ijgi10040267.
Full textCook, M. V., and H. V. de Castro. "The longitudinal flying qualities of a blended-wing-body civil transport aircraft." Aeronautical Journal 108, no. 1080 (February 2004): 75–84. http://dx.doi.org/10.1017/s0001924000005029.
Full textPallavi, P., and Shaik Salam. "Online Command Area Water Resource Management System." APTIKOM Journal on Computer Science and Information Technologies 5, no. 2 (April 30, 2020): 70–74. http://dx.doi.org/10.34306/csit.v5i2.141.
Full textDissertations / Theses on the topic "Command and Data Handling"
Lokken, Patrick Bucknam. "Command and data handling systems for a multi-instrument sounding rocket payload." Thesis, Montana State University, 2011. http://etd.lib.montana.edu/etd/2011/lokken/LokkenP0511.pdf.
Full textOlsen, Douglas. "Implementation of CCSDS Telemetry and Command Standards for the Fast Auroral Snapshot (FAST) Small Explorer Mission." International Foundation for Telemetering, 1993. http://hdl.handle.net/10150/611870.
Full textRecommendations of the Consultative Committee for Space Data Systems (CCSDS) provide a standard approach for implementing spacecraft packet telemetry and command interfaces. The Fast Auroral Snapshot (FAST) Small Explorer mission relies heavily on the CCSDS virtual channel and packetization concepts to achieve near real-time commanding and distribution of telemetry between separate space borne science and spacecraft processors and multiple ground stations. Use of the CCSDS recommendations allows the FAST mission to realize significant re-use of ground systems developed for the first Small Explorer mission, and also simplifies system interfaces and interactions between flight software developers, spacecraft integrators, and ground system operators.
DeBoy, Christopher C., Paul D. Schwartz, and Richard K. Huebschman. "Midcourse Space Experiment Spacecraft and Ground Segment Telemetry Design and Implementation." International Foundation for Telemetering, 1996. http://hdl.handle.net/10150/608390.
Full textThis paper reviews the performance requirements that provided the baseline for development of the onboard data system, RF transmission system, and ground segment receiving system of the Midcourse Space Experiment (MSX) spacecraft. The onboard Command and Data Handling (C&DH) System was designed to support the high data outputs of the three imaging sensor systems onboard the spacecraft and the requirement for large volumes of data storage. Because of the high data rates, it was necessary to construct a dedicated X-band ground receiver system at The Johns Hopkins University Applied Physics Laboratory (APL) and implement a tape recorder system for recording and downlinking sensor and spacecraft data. The system uses two onboard tape recorders to provide redundancy and backup capabilities. The storage capability of each tape recorder is 54 gigabits. The MSX C&DH System can record data at 25 Mbps or 5 Mbps. To meet the redundancy requirements of the high-priority experiments, the data can also be recorded in parallel on both tape recorders. To provide longer onboard recording, the data can also be recorded serially on the two recorders. The reproduce (playback) mode is at 25 Mbps. A unique requirement of the C&DH System is to multiplex and commutate the different output rates of the sensors and housekeeping signals into a common data stream for recording. The system also supports 1-Mbps real-time sensor data and 16-kbps real-time housekeeping data transmission to the dedicated ground site and through the U.S. Air Force Satellite Control Network ground stations. The primary ground receiving site for the telemetry is the MSX Tracking System (MTS) at APL. A dedicated 10-m X-band antenna is used to track the satellite during overhead passes and acquire the 25-Mbps telemetry downlinks, along with the 1-Mbps and 16-kbps real-time transmissions. This paper discusses some of the key technology trade-offs that were made in the design of the system to meet requirements for reliability, performance, and development schedule. It also presents some of the lessons learned during development and the impact these lessons will have on development of future systems.
Landberg, Fredrik. "Flexible role-handling in command and control systems." Thesis, Linköping University, Department of Electrical Engineering, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-7880.
Full textIn organizations the permissions a member has is not decided by their person, but by their functions within the organization. This is also the approach taken within military command and control systems. Military operations are often characterized by frictions and uncontrollable factors. People being absent when needed are one such problem.
This thesis has examined how roles are handled in three Swedish command and control systems. The result is a model for handling vacant roles with the possibility, in some situations, to override ordinary rules.
Rajyalakshmi, P. S., and R. K. Rajangam. "Data Handling System for IRS." International Foundation for Telemetering, 1987. http://hdl.handle.net/10150/615329.
Full textThe three axis stabilized Indian Remote Sensing Satellite will image the earth from a 904 Km polar - sun synchronous orbit. The payload is a set of CCD cameras which collect data in four bands visible and near infra-red region. This payload data from two cameras, each at 10.4 megabits per sec is transmitted in a balanced QPSK in X Band. The payload data before transmission is formatted by adopting Major and Minor frame synchronizing codes. The formatted two streams of data are differentially encoded to take care of 4-phase ambiguity due to QPSK transmission. This paper describes the design and development aspects related to such a Data Handling System. It also highlights the environmental qualification tests that were carried out to meet the requirement of three years operational life of the satellite.
Benoit, Éric. "Capteurs symboliques et capteurs flous : un nouveau pas vers l'intelligence." Grenoble 1, 1993. http://www.theses.fr/1993GRE10003.
Full textSerbessa, Yonatan Kebede. "Handling Data Flows of Streaming Internet of Things Data." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-302102.
Full textHanslo, Monique. "Techniques for handling clustered binary data." Master's thesis, University of Cape Town, 2002. http://hdl.handle.net/11427/6950.
Full textOver the past few decades there has been increasing interest in clustered studies and hence much research has gone into the analysis of data arising from these studies. It is erroneous to treat clustered data, where observations within a cluster are correlated with each other, as one would treat independent data. It has been found that point estimates are not as greatly affected by clustering as are the standard deviations of the estimates. But as a consequence, confidence intervals and hypothesis testing are severely affected. Therefore one has to approach the analysis of clustered data with caution. Methods that specifically deal with correlated data have been developed. Analysis may be further complicated when the outcome variable of interest is binary rather than continuous. Methods for estimation of proportions, their variances, calculation of confidence intervals and a variety of techniques for testing the homogeneity of proportions have been developed over the years (Donner and Klar, 1993; Donner, 1989, and Rao and Scott, 1992). The methods developed within the context of experimental design generally involve incorporating the effect of clustering in the analysis. This cluster effect is quantified by the intracluster correlation and needs to be taken into account when estimating proportions, comparing proportions and in sample size calculations. In the context of observational studies, the effect of clustering is expressed by the design effect which is the inflation in the variance of an estimate that is due to selecting a cluster sample rather than an independent sample. Another important aspect of the analysis of complex sample data that is often neglected is sampling weights. One needs to recognise that each individual may not have the same probability of being selected. These weights adjust for this fact (Little et al, 1997). Methods for modelling correlated binary data have also been discussed quite extensively. Among the many models which have been proposed for analyzing binary clustered data are two approaches which have been studied and compared: the population-averaged and cluster-specific approach. The population-averaged model focuses on estimating the effect of a set of covariates on the marginal expectation of the response. One example of the population-averaged approach for parameter estimation is known as generalized estimating equations, proposed by Liang and Zeger (1986). It involves assuming that elements within a cluster are independent and then imposing a correlation structure on the set of responses. This is a useful application in longitudinal studies where a subject is regarded as a cluster. Then the parameters describe how the population-averaged response rather than a specific subject's response depends on the covariates of interest. On the other hand, cluster specific models introduce cluster to cluster variability in the model by including random effects terms, which are specific to the cluster, as linear predictors in the regression model (Neuhaus et al, 1991). Unlike the special case of correlated Gaussian responses, the parameters for the cluster specific model obtained for binary data describe different effects on the responses compared to that obtained from the population-averaged model. For longitudinal data, the parameters of a cluster-specific model describe how a specific individuals probability of a response depends on the covariates. The decision to use either of these modelling methods depends on the questions of interest. Cluster-specific models are useful for studying the effects of cluster-varying covariates and when an individual's response rather than an average population's response is the focus. The population-averaged model is useful when interest lies in how the average response across clusters changes with covariates. A criticism of this approach is that there may be no individual with the characteristics of the population-averaged model.
Smith, Gene A. "Space Station-Era Ground Data Handling." International Foundation for Telemetering, 1989. http://hdl.handle.net/10150/614694.
Full textTo support the Space Station-era space data flows through ground facilities, plans to handle peak return link data rates ranging from 300 Mbps to 1200 Mbps and average rates growing from 50 Mbps to hundreds of Mbps are being made. These numbers represent orders of magnitude greater rates than are handled today. Simply relaying the data to destinations, however, is not sufficient (nor so straightforward). Because of multiplexing of data, on-board tape recording and playback, noise, and other problems with the space-to-ground link, these data must be reassembled for users into the sequences in which the data were originally produced on-board with error checking, retransmission, correction, or flagging as required to eliminate or tag erroneous data. In the past these services (called Level Zero Processing) have required large operations staffs and have involved delays of 30 to 90 days for final formatting and shipping of data tapes to users. NASA's expectations for improving the SS-era operations depend on providing time ordered, error corrected or flagged data sets with no redundant data packets within 24 hours of receipt on the ground with backup of data for one week. These data sets would be transmitted electronically to data centers for higher level processing and would require no more operations personnel than are required today for systems processing less than 1/100 of the data. To support a variety of user requirements, some of the data will be provided in real time or, if recorded on-board, as priority playback data. Other data sets will be created from on-board system engineering or housekeeping data combined with attitude, position, and time parameters into ancillary data packets. On the ground enhancement of the on-board ancillary data packets will provide standard calibrations and transformations not available on-board. Remote access to an interactive ancillary database will allow users to select and withdraw specified parameters based on user-defined criteria. The collection of these services is referred to as ground data handling and will be a critical component of the Space Station-era ground data operations and mission management system under development at Goddard Space Flight Center for NASA institutional support of Space Station-compatible missions. Challenges represented by this need for more ground processing capability include: * High speed, high rate multipath processors capable of continuous, real-time operation. * High volume data storage systems with high rate data ingest, rapid access to separate segments of data sets, and high rate data output. * Sophisticated information and system management services to provide system configuration monitoring and control, user support, and minimal human interaction. * Interactive database structures with traceable parameter updating and self-identified, standard data set formatting.
Barrera, Raymond C. "Command and Control Data dissemination using IP multicast." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1999. http://handle.dtic.mil/100.2/ADA376707.
Full text"December 1999". Thesis advisor(s): Bert Lundy. Includes bibliographical references (p. 75-76). Also available online.
Books on the topic "Command and Data Handling"
Paul, Roder, Searle Jeff, and School Mathematics Project, eds. Handling data. Cambridge [England]: Cambridge University Press, 1993.
Find full textPentz, Mike. Handling experimental data. Milton Keynes, [England]: Open University Press, 1988.
Find full textPentz, Michael. Handling experimental data. Milton Keynes: Open University Press, 1988.
Find full textBook chapters on the topic "Command and Data Handling"
Fillery, Nigel P., and David Stanton. "Telemetry, Command, Data Handling and Processing." In Spacecraft Systems Engineering, 439–66. Chichester, UK: John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9781119971009.ch13.
Full textMishra, Deepti, and Garima Khandelwal. "Command-Line Tools in Linux for Handling Large Data Files." In Bioinformatics: Sequences, Structures, Phylogeny, 375–92. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1562-6_17.
Full textSerra, Flavia. "Handling Context in Data Quality Management." In ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, 362–67. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55814-7_32.
Full textCvrčková, Fatima. "From Data to Illustrations: Common (Free) Tools for Proper Image Data Handling and Processing." In Methods in Molecular Biology, 121–33. New York, NY: Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4939-9469-4_8.
Full textBarbaglia, Luca, Sergio Consoli, Sebastiano Manzan, Diego Reforgiato Recupero, Michaela Saisana, and Luca Tiozzo Pezzoli. "Data Science Technologies in Economics and Finance: A Gentle Walk-In." In Data Science for Economics and Finance, 1–17. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66891-4_1.
Full textWeik, Martin H. "data command." In Computer Science and Communications Dictionary, 342. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_4222.
Full textGarofalo, Raffaele. "Command Handling and Event Routing." In Applied WPF 4 in Context, 189–208. Berkeley, CA: Apress, 2011. http://dx.doi.org/10.1007/978-1-4302-3471-5_8.
Full textQuicke, Donald, Buntika A. Butcher, and Rachel Kruft Welton. "First simple programs and graphics." In Practical R for biologists: an introduction, 13–30. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789245349.0013.
Full textQuicke, Donald, Buntika A. Butcher, and Rachel Kruft Welton. "First simple programs and graphics." In Practical R for biologists: an introduction, 13–30. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789245349.0004.
Full textBernsen, Niels Ole, and Laila Dybkjær. "Data Handling." In Multimodal Usability, 315–49. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-553-6_15.
Full textConference papers on the topic "Command and Data Handling"
Eger, George. "Orion's Command and Data Handling Architecture." In AIAA SPACE 2008 Conference & Exposition. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2008. http://dx.doi.org/10.2514/6.2008-7743.
Full textAkhtar, Syed Ashar, and Craig I. Underwood. "Dynamic Command and Data Handling Ground Station Software." In 2007 3rd International Conference on Recent Advances in Space Technologies. IEEE, 2007. http://dx.doi.org/10.1109/rast.2007.4284048.
Full textRaphael, David, Robert F. Stone, Damaris L. Guevara, and James E. Fraction. "Command & Data Handling for the magnetospheric multiscale mission." In 2014 IEEE Aerospace Conference. IEEE, 2014. http://dx.doi.org/10.1109/aero.2014.6836373.
Full textSchor, D., J. Scowcroft, C. Nichols, and W. Kinsner. "A Command and Data Handling unit for pico-satellite missions." In 2009 Canadian Conference on Electrical and Computer Engineering (CCECE). IEEE, 2009. http://dx.doi.org/10.1109/ccece.2009.5090254.
Full textBlack, Randall H. "Integrated Modular Concepts for Improved ECLSS Command and Data Handling." In International Conference On Environmental Systems. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2006. http://dx.doi.org/10.4271/2006-01-2122.
Full textBekker, D. L., J. L. Blavier, Dejian Fu, R. W. Key, K. S. Manatt, C. McKinney, D. M. Rider, et al. "Command and data handling system for the Panchromatic Fourier Transform Spectrometer." In 2012 IEEE Aerospace Conference. IEEE, 2012. http://dx.doi.org/10.1109/aero.2012.6187224.
Full textJohl, Shaina, E. Glenn Lightsey, Sean M. Horton, and Gokul R. Anandayuvaraj. "A reusable command and data handling system for university cubesat missions." In 2014 IEEE Aerospace Conference. IEEE, 2014. http://dx.doi.org/10.1109/aero.2014.6836368.
Full textMuri, Paul, Svetlana Hanson, and Martin Sonnier. "Gateway Avionics Concept of Operations for Command and Data Handling Architecture." In 2021 IEEE Aerospace Conference. IEEE, 2021. http://dx.doi.org/10.1109/aero50100.2021.9438539.
Full textDeshmukh, Meenakshi, Benjamin Weps, Pedro Isidro, and Andreas Gerndt. "Model driven language framework to automate command and data handling code generation." In 2015 IEEE Aerospace Conference. IEEE, 2015. http://dx.doi.org/10.1109/aero.2015.7118991.
Full textNguyen, Quang, William Yuknis, Scott Pursley, Dennis Albaijes, Noosha Haghani, and Omar Haddad. "A High Performance Command and Data Handling System For NASA's Lunar Reconnaissance Orbiter." In AIAA SPACE 2008 Conference & Exposition. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2008. http://dx.doi.org/10.2514/6.2008-7926.
Full textReports on the topic "Command and Data Handling"
Cui, Qian. Data-Oriented Exception Handling. Fort Belvoir, VA: Defense Technical Information Center, January 1990. http://dx.doi.org/10.21236/ada232645.
Full textPerlis, Donald, and Michael Anderson. Handling Contradictory Data with Metareasoning. Fort Belvoir, VA: Defense Technical Information Center, November 2002. http://dx.doi.org/10.21236/ada414208.
Full textMarkovitz, Paul. Electronic data interchange in Message Handling Systems. Gaithersburg, MD: National Institute of Standards and Technology, 1991. http://dx.doi.org/10.6028/nist.ir.4608.
Full textDEFENSE LOGISTICS AGENCY ALEXANDRIA VA. Defense Contract Management Command Data Validation Filter. Fort Belvoir, VA: Defense Technical Information Center, June 1993. http://dx.doi.org/10.21236/ada270507.
Full textMineter, M. J., S. Dowers, and B. M. Gittings. Software Instrastructure to Enable Parallel Spatial Data Handling. Fort Belvoir, VA: Defense Technical Information Center, July 2001. http://dx.doi.org/10.21236/ada394739.
Full textSmith, Stella. Review of Combat Ammunition System (CAS) Classified Data Handling. Fort Belvoir, VA: Defense Technical Information Center, November 1996. http://dx.doi.org/10.21236/ada319830.
Full textKurtz, J., S. Sprik, C. Ainscough, G. Saur, M. Post, and M. Peters. ARRA Material Handling Equipment Composite Data Products: Data through Quarter 2 of 2013. Office of Scientific and Technical Information (OSTI), November 2013. http://dx.doi.org/10.2172/1118093.
Full textKurtz, J., S. Sprik, and M. Peters. ARRA Material Handling Equipment Composite Data Products: Data Through Quarter 4 of 2013. Office of Scientific and Technical Information (OSTI), June 2014. http://dx.doi.org/10.2172/1135714.
Full textKurtz, J., S. Sprik, C. Ainscough, G. Saur, M. Post, M. Peters, and T. Ramsden. ARRA Material Handling Equipment Composite Data Products: Data Through Quarter 4 of 2012. Office of Scientific and Technical Information (OSTI), May 2013. http://dx.doi.org/10.2172/1080107.
Full textKurtz, J., S. Sprik, T. Ramsden, C. Ainscough, and G. Saur. ARRA Material Handling Equipment Composite Data Products: Data through Quarter 2 of 2012. Office of Scientific and Technical Information (OSTI), October 2012. http://dx.doi.org/10.2172/1056135.
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