Relevant bibliographies by topics / Error control

Academic literature on the topic 'Error control'

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Published: 4 June 2021
Last updated: 9 February 2022

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Journal articles on the topic "Error control"

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Ralphs, J. D. "Error-control coding." Electronics & Communications Engineering Journal 3, no. 5 (1991): 204. http://dx.doi.org/10.1049/ecej:19910035.

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Kamali, B. "Error control coding." IEEE Potentials 14, no. 2 (1995): 15–19. http://dx.doi.org/10.1109/45.376638.

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Litwin, L., and K. Ramaswamy. "Error control coding." IEEE Potentials 20, no. 1 (2001): 26–28. http://dx.doi.org/10.1109/45.913208.

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Debelak, Kenneth A., and Mark L. Rutherford. "Partitioned Error Control." Industrial & Engineering Chemistry Research 38, no. 10 (October 1999): 4113–19. http://dx.doi.org/10.1021/ie990220p.

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Buck, James R., Steven M. Zellers, and Michael E. Opar. "Control error statistics." Ergonomics 43, no. 1 (January 2000): 1–16. http://dx.doi.org/10.1080/001401300184620.

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Zhang, Zhimin. "High-Speed Serial Data Transmission Error Control Based on Fuzzy Classification." Journal of Advanced Computational Intelligence and Intelligent Informatics 22, no. 7 (November 20, 2018): 1077–81. http://dx.doi.org/10.20965/jaciii.2018.p1077.

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At present, the error control method for high-speed serial data transmission obtains the errors by comparison and then controls them. If the data transmission channel is not denoised, the packet loss and error codes become serious, and energy consumption increases. The use of fuzzy classification is proposed to control data transmission errors. The method uses the combination of wavelet transform and transform domain difference to double denoise the channel, and it completes the clustering of data transmission errors by fuzzy classification. Considering packet loss, error codes, and energy consumption in data transmission error control, when the communication distance between two nodes is small, automatic repeat request is used to control data transmission errors. As the distance between nodes increases, forward error correction is used to control data transmission errors. When the communication distance gradually increases, data transmission errors are controlled by hybrid automatic repeat request. Experiments showed that the proposed method can reduce the data transmission error, control energy consumption, packet loss rate, and bit error rate, and enhance the denoising effect.
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KIM, PHILSU, and SUNYOUNG BU. "Error Control Strategy in Error Correction Methods." Kyungpook mathematical journal 55, no. 2 (June 23, 2015): 301–11. http://dx.doi.org/10.5666/kmj.2015.55.2.301.

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Tomizuka, Masayoshi, Jwu-Sheng Hu, Tsu-Chih Chiu, and Takuya Kamano. "Synchronization of Two Motion Control Axes Under Adaptive Feedforward Control." Journal of Dynamic Systems, Measurement, and Control 114, no. 2 (June 1, 1992): 196–203. http://dx.doi.org/10.1115/1.2896515.

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In this paper, motion synchronization of two d-c motors, or motion control axes, under adaptive feedforward control is considered. The adaptive feedforward control system for each axis consists of a proportional feedback controller, an adaptive disturbance compensator and an adaptive feedforward controller. If the two adaptive systems are left uncoupled, a disturbance input applied to one of the two axes will cause a motion error in the disturbed axis only, and the error becomes the synchronization error. To achieve a better synchronization, a coupling controller, which responds to the synchronization error, i.e., the difference between the two motion errors, is introduced. In this case, when a disturbance input is applied to one axis, the motion errors appear in the undisturbed axis as well as in the disturbed axis. The motion error in the undisturbed axis is introduced by the coupling controller and the adaptive feedforward controller. The adaptive synchronization problem is formulated and analyzed in the continuous time domain first, and then in the discrete time domain. Stability conditions are obtained. Effectiveness of the adaptive synchronization controller is demonstrated by simulation.
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Wittenberg, Sidney. "Control of refractive error." Current Opinion in Ophthalmology 1, no. 1 (February 1990): 69–71. http://dx.doi.org/10.1097/00055735-199002000-00015.

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Maskara, S. L., and S. Chakrabarti. "Understanding Error Control Coding." IETE Journal of Education 35, no. 1-2 (January 1994): 3–21. http://dx.doi.org/10.1080/09747338.1994.11436443.

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Dissertations / Theses on the topic "Error control"

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Abdelhamid, Awad Aly Ahmed Sala. "Quantum error control codes." Diss., Texas A&M University, 2008. http://hdl.handle.net/1969.1/85910.

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It is conjectured that quantum computers are able to solve certain problems more quickly than any deterministic or probabilistic computer. For instance, Shor's algorithm is able to factor large integers in polynomial time on a quantum computer. A quantum computer exploits the rules of quantum mechanics to speed up computations. However, it is a formidable task to build a quantum computer, since the quantum mechanical systems storing the information unavoidably interact with their environment. Therefore, one has to mitigate the resulting noise and decoherence effects to avoid computational errors. In this dissertation, I study various aspects of quantum error control codes - the key component of fault-tolerant quantum information processing. I present the fundamental theory and necessary background of quantum codes and construct many families of quantum block and convolutional codes over finite fields, in addition to families of subsystem codes. This dissertation is organized into three parts: Quantum Block Codes. After introducing the theory of quantum block codes, I establish conditions when BCH codes are self-orthogonal (or dual-containing) with respect to Euclidean and Hermitian inner products. In particular, I derive two families of nonbinary quantum BCH codes using the stabilizer formalism. I study duadic codes and establish the existence of families of degenerate quantum codes, as well as families of quantum codes derived from projective geometries. Subsystem Codes. Subsystem codes form a new class of quantum codes in which the underlying classical codes do not need to be self-orthogonal. I give an introduction to subsystem codes and present several methods for subsystem code constructions. I derive families of subsystem codes from classical BCH and RS codes and establish a family of optimal MDS subsystem codes. I establish propagation rules of subsystem codes and construct tables of upper and lower bounds on subsystem code parameters. Quantum Convolutional Codes. Quantum convolutional codes are particularly well-suited for communication applications. I develop the theory of quantum convolutional codes and give families of quantum convolutional codes based on RS codes. Furthermore, I establish a bound on the code parameters of quantum convolutional codes - the generalized Singleton bound. I develop a general framework for deriving convolutional codes from block codes and use it to derive families of non-catastrophic quantum convolutional codes from BCH codes. The dissertation concludes with a discussion of some open problems.
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Zhou, Tingxian, Xiaohua Yin, and Xianming Zhao. "A New Error Control Scheme for Remote Control System." International Foundation for Telemetering, 1994. http://hdl.handle.net/10150/611658.

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International Telemetering Conference Proceedings / October 17-20, 1994 / Town & Country Hotel and Conference Center, San Diego, California
How to rise the reliability of the data transmission is one of the main problem faced by modern digital communication designers. This paper studies the error-correcting codes being suitable for the channel existing both the random and burst error. A new error control scheme is given. The scheme is a concatenated coding system using an interleaved Reed-Solomon code with symbols over GF (24) as the outer code and a Viterbi-decoded convolutional code as the inner code. As a result of the computer simulation, it is proved that the concatenated coding system has a output at a very low bit error rate (BER)and can correct a lot of compound error patterns. It is suitable for the serious disturb channel existing both the random and burst error. This scheme will be adopted for a remote control system.
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Yankopolus, Andreas George. "Adaptive Error Control for Wireless Multimedia." Diss., Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/5237.

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Future wireless networks will be required to support multimedia traffic in addition to traditional best-effort network services. Supporting multimedia traffic on wired networks presents a large number of design problems, particularly for networks that run connectionless data transport protocols such as the TCP/IP protocol suite. These problems are magnified for wireless links, as the quality of such links varies widely and uncontrollably. This dissertation presents new tools developed for the design and realization of wireless networks including, for the first time, analytical channel models for predicting the efficacy of error control codes, interleaving schemes, and signalling protocols, and several novel algorithms for matching and adapting system parameters (such as error control and frame length) to time-varying channels and Quality of Service (QoS) requirements.
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Joe, Inwhee. "Error control for wireless ATM networks." Diss., Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/15643.

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Popplewell, Andrew. "Combined line and error control coding." Thesis, Bangor University, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.236394.

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Matrakidis, Chris. "Error control coding for constrained channels." Thesis, University College London (University of London), 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.324963.

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Ishihara, Abraham K. "Feedback error learning in neuromotor control /." May be available electronically:, 2008. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.

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Pu, Jianfeng. "Error Control in Wireless ATM Network." Diss., Virginia Tech, 2000. http://hdl.handle.net/10919/28114.

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Asynchronous Transfer Mode (ATM) protocol was designed to support real-time traffic steams over high quality links like fiber optics where the transmission error is extremely low. ATM performs poorly in an error-prone environment such as wireless communications. The purpose of this research is to investigate error control schemes in wireless ATM (W-ATM) to support real-time service, such that the physical layer error conditions are handled in lower layers under ATM transport layer. Automatic Repeat reQuest schemes (ARQ) and Forward Error Correction (FEC) have been widely used for reliable data transmissions. However, the current existing ARQ schemes can potentially introduce unbounded delay in high error rate environments like W-ATM network due to the lack of delay control mechanism. As a result, they are not appropriate for real-time data communications in which there are strict packet delay requirements. In this dissertation, we explored the issues related to W-ATM area. Adaptation of FEC, specifically Reed-Solomon code, to channel error conditions in W-ATM is investigated. The quality-of-service (QoS)-aware error control algorithm is originated and its performance is evaluated. The algorithm is further simplified to make it more suitable for practical applications. The requirements of ARQ applicability for real-time communication environment like W-ATM is extensively analyzed. An ARQ scheme, called D-bit protocol, is developed to satisfy the real-time requirements. The scheme supports reliable packet discarding while allowing retransmissions without compromising user-level QoS for real-time stream applications. Simulations show the effectiveness and liveness of the protocol.
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Chen, Bainan. "Hardware Implementation of Error Control Decoders." Case Western Reserve University School of Graduate Studies / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=case1209531418.

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Grymel, Martin-Thomas. "Error control with binary cyclic codes." Thesis, University of Manchester, 2013. https://www.research.manchester.ac.uk/portal/en/theses/error-control-with-binary-cyclic-codes(a5750b4a-e4d6-49a8-915b-3e015387ad36).html.

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Error-control codes provide a mechanism to increase the reliability of digital data being processed, transmitted, or stored under noisy conditions. Cyclic codes constitute an important class of error-control code, offering powerful error detection and correction capabilities. They can easily be generated and verified in hardware, which makes them particularly well suited to the practical use as error detecting codes.A cyclic code is based on a generator polynomial which determines its properties including the specific error detection strength. The optimal choice of polynomial depends on many factors that may be influenced by the underlying application. It is therefore advantageous to employ programmable cyclic code hardware that allows a flexible choice of polynomial to be applied to different requirements. A novel method is presented in this thesis to realise programmable cyclic code circuits that are fast, energy-efficient and minimise implementation resources.It can be shown that the correction of a single-bit error on the basis of a cyclic code is equivalent to the solution of an instance of the discrete logarithm problem. A new approach is proposed for computing discrete logarithms; this leads to a generic deterministic algorithm for analysed group orders that equal Mersenne numbers with an exponent of a power of two. The algorithm exhibits a worst-case runtime in the order of the square root of the group order and constant space requirements.This thesis establishes new relationships for finite fields that are represented as the polynomial ring over the binary field modulo a primitive polynomial. With a subset of these properties, a novel approach is developed for the solution of the discrete logarithm in the multiplicative groups of these fields. This leads to a deterministic algorithm for small group orders that has linear space and linearithmic time requirements in the degree of defining polynomial, enabling an efficient correction of single-bit errors based on the corresponding cyclic codes.
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Books on the topic "Error control"

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Sanvicente, Emilio. Understanding Error Control Coding. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05840-1.

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Peters, George A. Human error: Causes and control. Boca Raton, FL: CRC Press/Taylor & Francis, 2006.

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Guy, Farrell Patrick, ed. Essentials of error-control coding. West Sussex, England: John Wiley & Sons, 2006.

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1950-, Peters Barbara J., ed. Human error: Causes and control. Boca Raton, FL: CRC Press/T&F, 2006.

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Engineers, Institution of Chemical, ed. Computer control and human error. Rugby: Institution of Chemical Engineers, 1995.

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Castiñeira Moreira, Jorge, and Patrick Guy Farrell. Essentials of Error-Control Coding. Chichester, UK: John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/9780470035726.

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Computer control and human error. Houston: Gulf Pub. Co., 1995.

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1942-, Costello Daniel J., ed. Error control coding: Fundamentals and applications. 2nd ed. Upper Saddle River, N.J: Pearson-Prentice Hall, 2004.

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1962-, Chen Xuemin, ed. Error-control coding for data networks. Boston: Kluwer Academic Publishers, 1999.

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H, Levesque Allen, ed. Error-control techniques for digital communication. New York: Wiley, 1985.

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Book chapters on the topic "Error control"

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Lee, Edward A., and David G. Messerschmitt. "Error Control." In Digital Communication, 609–49. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4684-0004-5_13.

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Lee, Edward A., David G. Messerschmitt, and Robert Gallager. "Error Control." In Digital Communication, 463–502. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4684-0044-1_11.

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Buchanan, W. "Error control." In Applied Data Communications and Networks, 243–50. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-1207-9_13.

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Liu, Yunhao, and Zheng Yang. "Error Control." In Location, Localization, and Localizability, 75–96. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-7371-9_6.

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Weik, Martin H. "error control." In Computer Science and Communications Dictionary, 537. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_6404.

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Lee, Edward A., and David G. Messerschmitt. "Error Control." In Digital Communication, 463–502. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-1303-5_11.

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Barry, John R., Edward A. Lee, and David G. Messerschmitt. "Error Control." In Digital Communication, 571–649. Boston, MA: Springer US, 2004. http://dx.doi.org/10.1007/978-1-4615-0227-2_12.

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Jiang, Shengming. "Error Control." In Wireless Networking Principles: From Terrestrial to Underwater Acoustic, 35–50. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7775-3_2.

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Cole, Robert. "Errors, Error and Flow Control." In Computer Communications, 64–83. London: Macmillan Education UK, 1986. http://dx.doi.org/10.1007/978-1-349-18271-8_6.

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Das, Apurba. "Error Control Coding." In Signals and Communication Technology, 191–211. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12743-4_9.

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Conference papers on the topic "Error control"

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Phillips, Mark D., and Brian E. Melville. "Analyzing Controller Tasks to Define Air Traffic Control System Automation Requirements." In Human Error Avoidance Techniques Conference. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1987. http://dx.doi.org/10.4271/872515.

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Lan, Cheng, Ren Mifeng, Xie Gang, and Chen Jie. "Multipath estimation using kernel minimum error entropy filter." In 2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 2016. http://dx.doi.org/10.1109/control.2016.7737624.

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Tucker, Shirley J., and Henry E. Stern. "An Application of Error-Covariance Analysis to Inertial Platform Errors." In 1986 American Control Conference. IEEE, 1986. http://dx.doi.org/10.23919/acc.1986.4789102.

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Yamada, M. "Zero phase error tracking controller with a desired gain error and application." In UKACC International Conference on Control. Control '96. IEE, 1996. http://dx.doi.org/10.1049/cp:19960632.

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Rogers, Robert. "Velocity error representations in inertial navigation system error models." In Guidance, Navigation, and Control Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1995. http://dx.doi.org/10.2514/6.1995-3193.

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Yagi, Hideki, Toshiyasu Matsushima, and Shigeichi Hirasawa. "Error control codes for parallel channel with correlated errors." In 2008 IEEE Information Theory Workshop (ITW). IEEE, 2008. http://dx.doi.org/10.1109/itw.2008.4578699.

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Eaglin, Gerald, and Joshua Vaughan. "Reducing Trajectory Tracking Error of Flexible Mobile Robots Using Command Shaping With Error-Limiting Constraints." In ASME 2017 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/dscc2017-5394.

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The ability to track a trajectory without significant error is a vital requirement for mobile robots. Numerous methods have been proposed to mitigate tracking error. While these trajectory-tracking methods are efficient for rigid systems, many excite unwanted vibration when applied to flexible systems, leading to tracking error. This paper analyzes a modification of input shaping, which has been primarily used to limit residual vibration for point-to-point motion of flexible systems. Standard input shaping is modified using error-limiting constraints to reduce transient tracking error for the duration of the system’s motion. This method is simulated with trajectory inputs constructed using line segments and Catmull-Rom splines. Error-limiting commands are shown to improve both spatial and temporal tracking performance and can be made robust to modeling errors in natural frequency.
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Kowalczuk, Z. "Integrated squared error and integrated absolute error in recursive identification of continuous-time plants." In UKACC International Conference on Control (CONTROL '98). IEE, 1998. http://dx.doi.org/10.1049/cp:19980313.

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Wang, Weisheng, and Michael G. Safonov. "Relative-error H∞ identification." In 1991 American Control Conference. IEEE, 1991. http://dx.doi.org/10.23919/acc.1991.4791463.

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Liu, Dunnan, Rui Ge, Lizheng Shao, Miao Li, Xu Cheng, and Qiangming Zhou. "Real Time Feedback Control Strategy Based on Area Control Error and Generation Error." In 2015 Seventh International Conference on Measuring Technology and Mechatronics Automation (ICMTMA). IEEE, 2015. http://dx.doi.org/10.1109/icmtma.2015.197.

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Reports on the topic "Error control"

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Prudhomme, Serge, Paul T. Bauman, and J. T. Oden. Error Control for Molecular Statics Problems. Fort Belvoir, VA: Defense Technical Information Center, August 2005. http://dx.doi.org/10.21236/ada446319.

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DELTA INFORMATION SYSTEMS INC HORSHAM PA. Error Control Option for Group 3 Facsimile Equipment. Fort Belvoir, VA: Defense Technical Information Center, February 1987. http://dx.doi.org/10.21236/ada183476.

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Parhi, Keshab K. High-Speed and Low-Power VLSI Error Control Coders. Fort Belvoir, VA: Defense Technical Information Center, September 2004. http://dx.doi.org/10.21236/ada426960.

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Parhi, Keshab K. Low-Power VLSI Architectures for Error Control Coding and Wavelets. Fort Belvoir, VA: Defense Technical Information Center, October 2001. http://dx.doi.org/10.21236/ada398592.

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Tarr, J. A., J. E. Wieselthier, and A. Ephremides. Packet-Error Probability Analysis for Unslotted FH-CDMA (Frequency Hopped-Code-Division Multiple-Access) Systems with Error Control Coding. Fort Belvoir, VA: Defense Technical Information Center, April 1989. http://dx.doi.org/10.21236/ada207964.

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Rintoul, Mark Daniel, Elebeoba Eni May, William Michael Brown, Anna Marie Johnston, and Jean-Paul Watson. Deciphering the genetic regulatory code using an inverse error control coding framework. Office of Scientific and Technical Information (OSTI), March 2005. http://dx.doi.org/10.2172/922758.

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May, Elebeoba Eni, Mark Daniel Rintoul, Anna Marie Johnston, Richard J. Pryor, William Eugene Hart, and Jean-Paul Watson. Detection and reconstruction of error control codes for engineered and biological regulatory systems. Office of Scientific and Technical Information (OSTI), October 2003. http://dx.doi.org/10.2172/918239.

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Dr. Carl Stern and Dr. Martin Lee. Automatic component calibration and error diagnostics for model-based accelerator control. Phase I final report. Office of Scientific and Technical Information (OSTI), June 1999. http://dx.doi.org/10.2172/765670.

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Bohorquez-Penuela, Camilo, and Mariana Urbina-Ramirez. Rising Staple Prices and Food Insecurity: The Case of the Mexican Tortilla. Banco de la República de Colombia, November 2020. http://dx.doi.org/10.32468/be.1144.

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We study the relationship between rising prices of tortillas---the Mexican staple par excellence---and household food insecurity between 2008 and 2014, a period in which global food prices experienced dramatic increases. The use of a unique combination of household-level data and official state-level information on prices allows us exploit signi cant variation in prices across the Mexican states. Since households cannot be tracked across time, we follow Deaton (1985) by constructing a series of pseudo-panels to control for time- invariant unobserved heterogeneity and measurement error. The regression estimates suggest that increasing tortilla prices affected food insecurity rates in Mexico. More speci cally, households with children or those in the second or third income quintile are more likely to be affected.
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Brodie, Katherine, Brittany Bruder, Richard Slocum, and Nicholas Spore. Simultaneous mapping of coastal topography and bathymetry from a lightweight multicamera UAS. Engineer Research and Development Center (U.S.), August 2021. http://dx.doi.org/10.21079/11681/41440.

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A low-cost multicamera Unmanned Aircraft System (UAS) is used to simultaneously estimate open-coast topography and bathymetry from a single longitudinal coastal flight. The UAS combines nadir and oblique imagery to create a wide field of view (FOV), which enables collection of mobile, long dwell timeseries of the littoral zone suitable for structure-from motion (SfM), and wave speed inversion algorithms. Resultant digital surface models (DSMs) compare well with terrestrial topographic lidar and bathymetric survey data at Duck, NC, USA, with root-mean-square error (RMSE)/bias of 0.26/–0.05 and 0.34/–0.05 m, respectively. Bathymetric data from another flight at Virginia Beach, VA, USA, demonstrates successful comparison (RMSE/bias of 0.17/0.06 m) in a secondary environment. UAS-derived engineering data products, total volume profiles and shoreline position, were congruent with those calculated from traditional topo-bathymetric surveys at Duck. Capturing both topography and bathymetry within a single flight, the presented multicamera system is more efficient than data acquisition with a single camera UAS; this advantage grows for longer stretches of coastline (10 km). Efficiency increases further with an on-board Global Navigation Satellite System–Inertial Navigation System (GNSS-INS) to eliminate ground control point (GCP) placement. The Appendix reprocesses the Virginia Beach flight with the GNSS–INS input and no GCPs.
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