Thematische Bibliographien / Real-time correction

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Auswahl der wissenschaftlichen Literatur zum Thema „Real-time correction“

Autor: Grafiati

Veröffentlicht am 28. Juni 2021

Zuletzt aktualisiert am 21. Juni 2025

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Zeitschriftenartikel zum Thema "Real-time correction"

Limpaecher, Alex, Nicolas Feltman, Adrien Treuille, and Michael Cohen. "Real-Time Drawing Assistance through Crowdsourcing." Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 1 (November 3, 2013): 101–2. http://dx.doi.org/10.1609/hcomp.v1i1.13058.

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We propose a new method for the large-scale collection and analysis of drawings by using a mobile game specifically designed to collect such data. Analyzing this crowdsourced drawing database, we build a spatially varying model of artistic consensus at the stroke level. We then present a surprisingly simple stroke- correction method which uses our artistic consensus model to improve strokes in real-time. Importantly, our auto-corrections run interactively and appear nearly in- visible to the user while seamlessly preserving artistic intent. Closing the loop, the game itself serves as a plat- form for large-scale evaluation of the effectiveness of our stroke correction algorithm.

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Al-Attas, Syed Haziq Muhammad, Amir Sharifuddin Ab Latip, Ami Hassan Md Din, and Syed Idrus Al-Attas. "Comparison of MyRTKnet Performance with Various Real-Time Corrections Based on Different Time." IOP Conference Series: Earth and Environmental Science 1240, no. 1 (2023): 012005. http://dx.doi.org/10.1088/1755-1315/1240/1/012005.

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Abstract Virtual Reference Station (VRS), Master-Auxiliary Corrections (MAX), Individualised Master-Auxiliary Corrections (IMAX), Nearest Base, and Network D-GNSS are among the Network Real-Time Kinematic (NRTK) techniques supported by the Malaysia Real-Time Kinematic GNSS Network (MyRTKnet) in providing network-based solutions to users. However, different network corrections have different limits due to different characters, thus offering a variety of position accuracy. Therefore, this study evaluated the accuracy of real-time corrections, VRS, MAX, IMAX, D-GNSS, and Nearest Base, for the coordinates at two different times, morning and evening. The study was conducted at two different times to make it easier for users to choose a suitable and quality time to conduct observations. This research was implemented on the pillars at the calibration site of Politeknik Sultan Haji Ahmad Shah (POLISAS) in Kuantan, Pahang. The coordinates in the pillar become a benchmark to differentiate with real-time correction coordinates. The result of that difference can be used to analyse the level of accuracy for real-time corrections. The study’s findings show that the real-time correction accuracy of the VRS type is the most stable and has the highest accuracy. Nearest Base and MAX corrections also give relatively good accuracy and can be improved by increasing observation time and depending on the area. IMAX produces inconsistent results with relatively low accuracy, but some techniques can be applied to obtain good accuracy. D-GNSS type corrections give inconsistent results and low position accuracy as it utilises code measurement only. The research concludes that the best correction is VRS. The Nearest Base and MAX produce acceptable accuracy and can be safely chosen over IMAX and D-GNSS.

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Engelke, Robert M. "Real-time transcription correction system." Journal of the Acoustical Society of America 114, no. 5 (2003): 2544. http://dx.doi.org/10.1121/1.1634110.

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Wu, Ray-Shyan, You-Yu Sin, Jing-Xue Wang, et al. "Real-Time Flood Warning System Application." Water 14, no. 12 (2022): 1866. http://dx.doi.org/10.3390/w14121866.

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The reliability of weather radar data in real-time flood forecasting and early warning system remain ambivalent due to high uncertainty in Quantitative Precipitation Forecasts (QPF). In this study, a methodology is presented with the objective to improve the flood forecasting results with the application of radar rainfall calculated in three different ways. The QPF radar rainfall forecast data of four typhoon events in Fèngshān River Basin, Taiwan, were simulated using the WASH123D numerical model. The simulated results were corrected using a physical real-time correction technique and compared with direct simulation without correction for all three QPF calculation methods. According to model performance evaluation criteria, in the third method of QPF calculation, flood peak error was the lowest in all three methods, indicating better results for flood forecasting and can be used for flood early warning systems. The impact of the real-time correction technique was assessed using mass balance analysis. It was found that flow change is between 16% and 42% from direct simulation, indicating being on the safe side in case of a flood warning. However, the impact of the real-time physical correction on the water level itself is in a reasonable range. Still, QPF rainfall correction/calculation is more important to obtain accurate results for flood forecasting. Therefore, the application of real-time correction to correct the model water level has a certain degree of credibility, which is the mass balance of the model. This approach is recommended for flood forecasting early warning systems.

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Yu, L. H., E. Bozoki, J. Galayda, S. Krinsky, and G. Vignola. "Real time harmonic closed orbit correction." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 284, no. 2-3 (1989): 268–85. http://dx.doi.org/10.1016/0168-9002(89)90292-1.

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Mane, Deepak, Gopal Upadhye, Vinit Gite, Girish Sarwade, Gourav Kamble, and Aditya Pawar. "Smart Yoga Assistant: SVM-based Real-time Pose Detection and Correction System." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 7s (2023): 251–62. http://dx.doi.org/10.17762/ijritcc.v11i7s.6997.

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SVM-based Real-time Pose Detection and Correction System refer to a computer system that uses machine learning techniques to detect and correct a person's yoga pose in real-time. This system can act as a virtual yoga assistant, helping people improve their yoga practice by providing immediate feedback on their form and helping to prevent injury. This paper presents a yoga tracker and correction system that uses computer vision and machine learning algorithms to track and correct yoga poses. The system comprises a camera and a computer vision module that captures images of the yoga practitioner and identifies the poses being performed. The machine learning module analyzes the images to provide feedback on the quality of the poses and recommends corrections to improve form and prevent injuries. This paper proposed a customized support vector machine (SVM) based real-time pose detection and correction system that suggests yoga practices based on specific health conditions or diseases. Paper aims to provide a reliable and accessible resource for individuals seeking to use yoga as a complementary approach to managing their health conditions. The system also includes a practitioner’s interface that enables practitioners to receive personalized recommendations for their yoga practice. The system is developed using Python and several open-source libraries, and was tested on a dataset of yoga poses. The hyper parameter gamma tuned to optimize the classification accuracy on our dataset produced 87% which is better than other approaches. The experiment results demonstrate the effectiveness of the system in tracking and correcting yoga poses, and its potential to enhance the quality of yoga practice.

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Karamti, Walid, and Imad Al-Sgir. "Intelligent agents Model with JADE for scheduling analysis and correction of Real-Time Systems." International Journal of Communication Networks and Information Security (IJCNIS) 15, no. 1 (2023): 107–19. http://dx.doi.org/10.17762/ijcnis.v15i1.5762.

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This research proposes a new model for analyzing and correcting non-schedulable partitions in real-time multiprocessor systems, specifically in the context of fault tolerance in distributed networks. The need for such a model arises from current techniques for correcting non-schedulable partitions that must be revised and repartitioning all tasks across processors. The proposed model is based on intelligent agents and implemented using the JADE platform. The model consists of (1) a supervisor agent in the first layer that distributes tasks and manages system correction when a non-schedulable partition is detected; and (2) a second layer composed of partition agents that analyze schedulability, request corrections, and negotiate with the supervisor for additional tasks to correct the entire system. The effectiveness of the proposed model is demonstrated through a case study. Quantitative analysis shows that the proposed model improves fault tolerance in distributed systems and has the potential for further enhancement by adding communicative tasks, heterogeneous processors, and other improvements.

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Xiong, Yuanhui, Kuijun Wu, Guangbao Yu, Zhenwei Chen, Linmei Liu, and Faquan Li. "Real-Time Monitoring of SO2 Emissions Using a UV Camera with Built-in NO2 and Aerosol Corrections." Sensors 22, no. 10 (2022): 3900. http://dx.doi.org/10.3390/s22103900.

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Nitrogen dioxide (NO2) absorption correction of the sulfur dioxide (SO2) camera was demonstrated for the first time. The key to improving the measurement accuracy is to combine a differential optical absorption spectroscopy (DOAS) instrument with the SO2 camera for the real-time NO2 absorption correction and aerosol scattering correction. This method performs NO2 absorption correction by the correlation between the NO2 column density measurement of the DOAS and the NO2 optical depth of the corresponding channel from the SO2 camera at a narrow wavelength window around 310 and 310 nm. The error of correction method is estimated through comparison with only using the second channel of the traditional SO2 camera to correct for aerosol scattering and it can be reduced by 11.3% after NO2 absorption corrections. We validate the correction method through experiments and demonstrate it to be of greatly improved accuracy. The result shows that the ultraviolet (UV) SO2 camera system with NO2 absorption corrections appears to have great application prospects as a technology for visualized real-time monitoring of SO2 emissions.

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Asensio Ramos, A., J. de la Cruz Rodríguez, and A. Pastor Yabar. "Real-time, multiframe, blind deconvolution of solar images." Astronomy & Astrophysics 620 (December 2018): A73. http://dx.doi.org/10.1051/0004-6361/201833648.

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The quality of images of the Sun obtained from the ground are severely limited by the perturbing effect of the Earth’s turbulent atmosphere. The post-facto correction of the images to compensate for the presence of the atmosphere require the combination of high-order adaptive optics techniques, fast measurements to freeze the turbulent atmosphere, and very time-consuming blind deconvolution algorithms. Under mild seeing conditions, blind deconvolution algorithms can produce images of astonishing quality. They can be very competitive with those obtained from space, with the huge advantage of the flexibility of the instrumentation thanks to the direct access to the telescope. In this contribution we make use of deep learning techniques to significantly accelerate the blind deconvolution process and produce corrected images at a peak rate of ∼100 images per second. We present two different architectures that produce excellent image corrections with noise suppression while maintaining the photometric properties of the images. As a consequence, polarimetric signals can be obtained with standard polarimetric modulation without any significant artifact. With the expected improvements in computer hardware and algorithms, we anticipate that on-site real-time correction of solar images will be possible in the near future.

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Li, Jia Ying, Yun Chen Jiang, and Lei Ren. "Real-Time Infrared Image Non-Uniformity Correction Based on FPGA." Advanced Materials Research 971-973 (June 2014): 1696–99. http://dx.doi.org/10.4028/www.scientific.net/amr.971-973.1696.

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IRFPA is the main direction of infrared imaging technology at present. It has high sensitivity and detection capability, but it also has disadvantages such as bad non-uniformity. Non-uniformity correction is a key technology in the application of IRFPA. As an applicable and real time non-uniformity correction method, the two-point correction algorithmic and single-point correction algorithmic are used widely. Their flow is simple and fixed. They are also suitable to be implemented by FPGA. In this paper, the two-point and single-point method of non-uniformity correction based on FPGA are introduced. And whether the two-point correction or the single-point correction is taken is determined by external control signal. After the completion of the correction coefficients calculation, the coefficients are written into FLASH so that the data will not be lost when the system is powered off.

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Dissertationen zum Thema "Real-time correction"

Sancho, Sánchez Irene. "On Adaptive Forward Error Correction for Real Time Traffic." Thesis, KTH, Reglerteknik, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-109478.

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Most of the real-time applications use user data protocol (UDP) as their transport protocol. The reason is that UDP does not provide flow control or error recovery and does not require connection management. Consequently it is a fast protocol suitable for applications that only need to transmit little data or for delay sensitive applications. Nevertheless, UDP has a major drawback, if some packets are dropped then there is no way to recover them. Some applications as video or audio could accept lower quality and most of the times the lost of some packets is less critic than the delay introduced by error recovery methods. Since more applications with real-time constraints such as video image and audio are introduced both over the wired Internet and over wireless some improvements should be made in order to obtain better performance. The main contribution of this thesis is to study an intermediate solution providing more reliability to the communication between applications running on top of UDP and at the same time support its fast connection quality using already existing protocols. In order to obtain it, real-time transport protocol (RTP) has been chosen as upper level protocol (to provide ”flowcontrol”) and an adaptive forward error correction (AFEC) technique has been studied (to provide error management). The idea of AFEC is to inject an adaptive amount of redundancy packets in every sent block (or datagram) in order to achieve a desired recovery rate at the receiver without using any retransmission mechanism. The sender dynamically uses feedback information from the receiver to decide the optimal amount of redundancy to introduce in every sent block. This decision task is managed by a control system at the sender side. Using the network simulator, ns-2, the performance of three different controllers using AFEC is evaluated. The results show in various scenarios that the amount of discarded blocks due to the corruption of some of its packets (block loss probability after decoding) decrease considerably when the AFEC mechanism is introduced.

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Westerlund, Johan. "Forward Error Correction in Real-time Video Streaming Applications." Thesis, Umeå universitet, Institutionen för datavetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-99644.

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The Internet is rapidly becoming the dominant platform for video contribution and distribution, but today’s Internet provides a best-effort service without any guarantee of quality. Internet video streaming has to cope with this lack of guarantees. Due to congestion and the heterogeneous infrastructure of the Internet a video transmission will be plagued by packet loss, variability in throughput, and latency. To mitigate some of these these problems f.o.r.w.a.r.d e.r.r.o.r c.o.r.r.e.c.t.i.o.n (F.E.C) can be employed. The aim of this thesis is to present a theoretical introduction to error correcting codes, implement and integrate f.o.r.w.a.r.d e.r.r.o.r c.o.r.r.e.c.t.i.o.n into an existing video streaming application, and test the implementation in both simulated and real-world conditions. Parameters of the F.E.C algorithm will be tweaked and guidelines for parameter selection will be developed

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Dufau, Michael. "Bias errors in IRLV data and their real time correction." Thesis, Liverpool John Moores University, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.337786.

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Granholm, George Richard 1976. "Near-real time atmospheric density model correction using space catalog data." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/44899.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2000. Includes bibliographical references (p. 179-184). Several theories have been presented in regard to creating a neutral density model that is corrected or calibrated in near-real time using data from space catalogs. These theories are usually limited to a small number of frequently tracked "calibration satellites" about which information such as mass and crosssectional area is known very accurately. This work, however, attempts to validate a methodology by which drag information from all available low-altitude space objects is used to update any given density model on a comprehensive basis. The basic update and prediction algorithms and a technique to estimate true ballistic factors are derived in detail. A full simulation capability is independently verified. The process is initially demonstrated using simulated range, azimuth, and elevation observations so that issues such as required number and types of calibration satellites, density of observations, and susceptibility to atmospheric conditions can be examined. Methods of forecasting the density correction models are also validated under different atmospheric conditions. by George Richard Granholm. S.M.

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Alhamud, Alkathafi Ali. "Implementation of anatomical navigators for real time motion correction in diffusion tensor imaging." Doctoral thesis, University of Cape Town, 2012. http://hdl.handle.net/11427/10052.

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Includes bibliographical references. Prospective motion correction methods using an optical system, diffusion-weighted prospective acquisition correction, or a free induction decay navigator have recently been applied to correct for motion in diffusion tensor imaging. These methods have some limitations and drawbacks. This article describes a novel technique using a three-dimensional-echo planar imaging navigator, of which the contrast is independent of the b-value, to perform prospective motion correction in diffusion weighted images, without having to reacquire volumes during which motion occurred, unless motion exceeded some preset thresholds. Water phantom and human brain data were acquired using the standard and navigated diffusion sequences, and the mean and whole brain histogram of the fractional anisotropy and mean diffusivity were analyzed.

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Brion, Véronique. "Towards real-time diffusion imaging : noise correction and inference of the human brain connectivity." Thesis, Paris 11, 2013. http://www.theses.fr/2013PA112058/document.

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La plupart des constructeurs de systèmes d'imagerie par résonance magnétique (IRM) proposent un large choix d'applications de post-traitement sur les données IRM reconstruites a posteriori, mais très peu de ces applications peuvent être exécutées en temps réel pendant l'examen. Mises à part certaines solutions dédiées à l'IRM fonctionnelle permettant des expériences relativement simples ainsi que d'autres solutions pour l'IRM interventionnelle produisant des scans anatomiques pendant un acte de chirurgie, aucun outil n'a été développé pour l'IRM pondérée en diffusion (IRMd). Cependant, comme les examens d'IRMd sont extrêmement sensibles à des perturbations du système hardware ou à des perturbations provoquées par le sujet et qui induisent des données corrompues, il peut être intéressant d'investiguer la possibilité de reconstruire les données d'IRMd directement lors de l'examen. Cette thèse est dédiée à ce projet innovant. La contribution majeure de cette thèse a consisté en des solutions de débruitage des données d'IRMd en temps réel. En effet, le signal pondéré en diffusion peut être corrompu par un niveau élevé de bruit qui n'est plus gaussien, mais ricien ou chi non centré. Après avoir réalisé un état de l'art détaillé de la littérature sur le bruit en IRM, nous avons étendu l'estimateur linéaire qui minimise l'erreur quadratique moyenne (LMMSE) et nous l'avons adapté à notre cadre de temps réel réalisé avec un filtre de Kalman. Nous avons comparé les performances de cette solution à celles d'un filtrage gaussien standard, difficile à implémenter car il nécessite une modification de la chaîne de reconstruction pour y être inséré immédiatement après la démodulation du signal acquis dans l'espace de Fourier. Nous avons aussi développé un filtre de Kalman parallèle qui permet d'appréhender toute distribution de bruit et nous avons montré que ses performances étaient comparables à celles de notre méthode précédente utilisant un filtre de Kalman non parallèle. Enfin, nous avons investigué la faisabilité de réaliser une tractographie en temps-réel pour déterminer la connectivité structurelle en direct, pendant l'examen. Nous espérons que ce panel de développements méthodologiques permettra d'améliorer et d'accélérer le diagnostic en cas d'urgence pour vérifier l'état des faisceaux de fibres de la substance blanche Most magnetic resonance imaging (MRI) system manufacturers propose a huge set of software applications to post-process the reconstructed MRI data a posteriori, but few of them can run in real-time during the ongoing scan. To our knowledge, apart from solutions dedicated to functional MRI allowing relatively simple experiments or for interventional MRI to perform anatomical scans during surgery, no tool has been developed in the field of diffusion-weighted MRI (dMRI). However, because dMRI scans are extremely sensitive to lots of hardware or subject-based perturbations inducing corrupted data, it can be interesting to investigate the possibility of processing dMRI data directly during the ongoing scan and this thesis is dedicated to this challenging topic. The major contribution of this thesis aimed at providing solutions to denoise dMRI data in real-time. Indeed, the diffusion-weighted signal may be corrupted by a significant level of noise which is not Gaussian anymore, but Rician or noncentral chi. After making a detailed review of the literature, we extended the linear minimum mean square error (LMMSE) estimator and adapted it to our real-time framework with a Kalman filter. We compared its efficiency to the standard Gaussian filtering, difficult to implement, as it requires a modification of the reconstruction pipeline to insert the filter immediately after the demodulation of the acquired signal in the Fourier space. We also developed a parallel Kalman filter to deal with any noise distribution and we showed that its efficiency was quite comparable to the non parallel Kalman filter approach. Last, we addressed the feasibility of performing tractography in real-time in order to infer the structural connectivity online. We hope that this set of methodological developments will help improving and accelerating a diagnosis in case of emergency to check the integrity of white matter fiber bundles

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Pagan, Jesus Manuel. "Cable-Suspended Robot System with Real Time Kinematics GPS Position Correction for Algae Harvesting." Ohio University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1539256829665799.

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Patel, Darshan Shyam. "A Real-Time Technique for the Correction of Invasive Blood Pressure Measurements using Counter Pressure." University of Akron / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=akron1205764260.

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Hess, Aaron T. "Real-time motion and main magnetic field correction in MR spectroscopy using an EPI volumetric navigator." Doctoral thesis, University of Cape Town, 2011. http://hdl.handle.net/11427/11359.

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In population groups where subjects do not lie still during Magnetic Resonance Spectroscopy (MRS) scans, real-time volume of interest (VOI), frequency, and main magnetic field (B0) shim correction may be necessary. This work demonstrates firstly that head movement causes significant B0 disruption in both single voxel spectroscopy and spectroscopic imaging.

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Roujol, Sébastien. "MR-guided thermotherapies of mobile organs : advances in real time correction of motion and MR-thermometry." Thesis, Bordeaux 1, 2011. http://www.theses.fr/2011BOR14263/document.

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L'ablation des tissus par hyperthermie locale guidée par IRM est une technique prometteuse pour le traitement du cancer et des arythmies cardiaques. L'IRM permet d'extraire en temps réel des informations anatomiques et thermiques des tissus. Cette thèse a pour objectif d'améliorer et d'étendre la méthodologie existante pour des interventions sur des organes mobiles comme le rein, le foie et le coeur. La première partie a été consacrée à l'introduction de l'imagerie rapide (jusqu'à 10-15 Hz) pour le guidage de l'intervention par IRM en temps réel. L'utilisation de cartes graphiques (GPGPU) a permis une accélération des calculs afin de satisfaire la contrainte de temps réel. Une précision, de l'ordre de 1°C dans les organes abdominaux et de 2-3°C dans le coeur, a été obtenue. Basé sur ces avancées, de nouveaux développements méthodologiques ont été proposés dans une seconde partie de cette thèse. L'estimation du mouvement basée sur une approche variationnelle a été améliorée pour gérer la présence de structures non persistantes et de fortes variations d'intensité dans les images. Un critère pour évaluer la qualité du mouvement estimé a été proposé et utilisé pour auto-calibrer notre algorithme d'estimation du mouvement. La méthode de correction des artefacts de thermométrie liés au mouvement, jusqu'ici restreinte aux mouvements périodiques, a été étendue à la gestion de mouvements spontanés. Enfin, un nouveau filtre temporel a été développé pour la réduction du bruit sur les cartographies de température. La procédure interventionnelle apparaît maintenant suffisamment mature pour le traitement des organes abdominaux et pour le transfert vers la clinique. Concernant le traitement des arythmies cardiaques, les méthodes ont été évaluées sur des sujets sains et dans le ventricule gauche. Par conséquent, la faisabilité de l'intervention dans les oreillettes mais aussi en présence d'arythmie devra être abordée MR-guided thermal ablation is a promising technique for the treatment of cancer and atrial fibrillation. MRI provides both anatomical and temperature information. The objective of this thesis is to extend and improve existing techniques for such interventions in mobile organs such as the kidney, the liver and the heart. A first part of this work focuses on the use of fast MRI (up to 10-15 Hz) for guiding the intervention in real time. This study demonstrated the potential of GPGPU programming as a solution to guarantee the real time condition for both MR-reconstruction and MR-thermometry. A precision in the range of 1°C and 2-3°C was obtained in abdominal organs and in the heart, respectively. Based on these advances, new methodological developments have been carried out in a second part of this thesis. New variational approaches have proposed to address the problem of motion estimation in presence of structures appearing transient and high intensity variations in images. A novel quality criterion to assess the motion estimation is proposed and used to autocalibrate our motion estimation algorithm. The correction of motion related magnetic susceptibility variation was extended to treat the special case of spontaneous motion. Finally, a novel temporal filter is proposed to reduce the noise of MR-thermometry measurements while controlling the bias introduced by the filtering process. As a conclusion, all main obstacles for MR-guided HIFU-ablation of abdominal organs have been addressed in in-vivo and ex-vivo studies, therefore clinical studies will now be realized. However, although promising results have been obtained for MR-guided RF-ablation in the heart, its feasibility in the atrium and in presence of arrhythmia still remains to be investigated

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Bücher zum Thema "Real-time correction"

Ulbrich, Norbert. The real-time wall interference correction system of the NASA Ames 12-foot pressure wind tunnel. National Aeronautics and Space Administration, Ames Research Center, 1998.

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Ulbrich, Norbert. The real-time wall interference correction system of the NASA Ames 12-foot pressure wind tunnel. National Aeronautics and Space Administration, Ames Research Center, 1998.

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Ulbrich, Norbert. The real-time wall interference correction system of the NASA Ames 12-foot pressure wind tunnel. National Aeronautics and Space Administration, Ames Research Center, 1998.

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Ulbrich, Norbert. The real-time wall interference correction system of the NASA Ames 12-foot pressure wind tunnel. National Aeronautics and Space Administration, Ames Research Center, 1998.

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Ulbrich, Norbert. The real-time wall interference correction system of the NASA Ames 12-foot pressure wind tunnel. National Aeronautics and Space Administration, Ames Research Center, 1998.

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Crow, Judy. Model-based reconfiguration: Diagnosis and recovery. National Aeronautics and Space Administration, Langley Research Center, 1994.

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John, Rushby, and Langley Research Center, eds. Model-based reconfiguration: Diagnosis and recovery. National Aeronautics and Space Administration, Langley Research Center, 1994.

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Bobyr', Maksim, Sergey Emel'yanov, and Natal'ya Milostnaya. Automated fuzzy logic control systems and methods of their sensitization. INFRA-M Academic Publishing LLC., 2025. https://doi.org/10.12737/2162831.

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The monograph is devoted to the methods of designing automated fuzzy logic control systems and methods of their sensing using vision systems. The presented methods, mathematical models, algorithms, and fuzzy logic control systems based on them differ from the known ones by automatically correcting the parameters of the cutting mode, taking into account the disturbing effects acting on the control object in real time. It is addressed to scientists, engineers, graduate students and students of technical specialties interested in fuzzy logic, control theory, stability of complex systems and management of intelligent systems based on machine vision systems. The work is based on scientific projects partially supported by the State Assignment No. 075-03-2025-526 and the Russian Science Foundation No. 24-21-00055.

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Model-based reconfiguration: Diagnosis and recovery. National Aeronautics and Space Administration, Langley Research Center, 1994.

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Hillard, Bruce F. Base-line calibrations of the Mini-Ranger III and the role of signal strength in correcting real-time hydrographic position data. 1986.

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Buchteile zum Thema "Real-time correction"

Choi, Hyunchul, Dongwuk Kyoung, and Keechul Jung. "Real-Time Image Correction for Interactive Environment." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73279-2_38.

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Vonikakis, Vassilios, Chryssanthi Iakovidou, and Ioannis Andreadis. "Real-Time Biologically-Inspired Image Exposure Correction." In IFIP Advances in Information and Communication Technology. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12267-5_8.

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Pellicani, Antonio, Gianvito Pio, Sašo Džeroski, and Michelangelo Ceci. "Correction to: Real-Time Anomaly Prediction from Cryptocurrency Time Series." In Communications in Computer and Information Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-74633-8_45.

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Ganesan, Ghurumuruhan. "Real-Time Error Correction Codes for Deletable Errors." In Proceedings of the Seventh International Conference on Mathematics and Computing. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-6890-6_57.

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Daglish, George R., and Iurii P. Sizov. "Real-Time Earthquake Localisation and the Elliptic Correction." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01174-1_69.

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Bo, Xinying, and Bodong Zhang. "Research on Intelligent Algorithm-Based Swimming Athlete Pose Recognition and Correction Method." In Advances in Real-Time Intelligent Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-55848-1_14.

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Abbasi, Akbar, Fatemeh Mirekhtiary, and Hesham M. H. Zakaly. "Correction to: Nuclear Radiation Monitoring in the Heterogeneous Internet of Things Era." In Real-Time Intelligence for Heterogeneous Networks. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75614-7_11.

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Han, Dongil. "Real-Time Digital Image Warping for Display Distortion Correction." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11559573_152.

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Gao, Yang, Wentao Zhang, and Yihe Li. "A New Method for Real-Time PPP Correction Updates." In International Symposium on Earth and Environmental Sciences for Future Generations. Springer International Publishing, 2016. http://dx.doi.org/10.1007/1345_2016_255.

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Kachare, Tejas, Manisha Sinha, Siddharth Kakade, Aryan Kakade, and Siddharth Nigade. "Real-Time Virtual Fitness Tracker and Exercise Posture Correction." In Data Science. Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003283249-6.

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Konferenzberichte zum Thema "Real-time correction"

Kononov, Dmitry, and Meran Furugyan. "Correction of Tasks in Computing Real-time Systems." In 2024 6th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA). IEEE, 2024. https://doi.org/10.1109/summa64428.2024.10803865.

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Xue, Yi. "Compressed 2P-FOCUS microscopy for real-time scattering correction." In Multiphoton Microscopy in the Biomedical Sciences XXV, edited by Ammasi Periasamy, Peter T. So, and Karsten König. SPIE, 2025. https://doi.org/10.1117/12.3044146.

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Li, Ziwen, Feng Zhang, Meng Cao, et al. "Real-Time Exposure Correction via Collaborative Transformations and Adaptive Sampling." In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2024. http://dx.doi.org/10.1109/cvpr52733.2024.00288.

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Damodaran, Meledath. "Real-time aberration correction using phase diversity on the IBM SP2 parallel computer." In Real-Time Imaging. SPIE, 1996. http://dx.doi.org/10.1117/12.628710.

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Floros, G., P. Durante, and N. Neufeld. "Forward Error Correction for data acquisition networks." In 2014 IEEE-NPSS Real Time Conference (RT). IEEE, 2014. http://dx.doi.org/10.1109/rtc.2014.7097555.

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Gordon, Donald P. "Real-time draping and perspective correction." In International Symposium on Optical Science and Technology, edited by Wallace G. Fishell. SPIE, 2000. http://dx.doi.org/10.1117/12.408694.

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Waltz, Frederick M. "Implementation Of Real-Time Perspective Correction." In Robotics and IECON '87 Conferences, edited by Rolf-Juergen Ahlers and Michael J. W. Chen. SPIE, 1988. http://dx.doi.org/10.1117/12.942840.

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Jedrasik, Piotr. "Proximity effects correction in real time." In Microlithography '99, edited by Yuli Vladimirsky. SPIE, 1999. http://dx.doi.org/10.1117/12.351123.

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Oldekop, Erik, and Azad Siahmakoun. "Real-time one-pass distortion correction." In Midwest - DL tentative, edited by Rudolph P. Guzik, Hans E. Eppinger, Richard E. Gillespie, Mary K. Dubiel, and James E. Pearson. SPIE, 1991. http://dx.doi.org/10.1117/12.47756.

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Špakov, Oleg, and Yulia Gizatdinova. "Real-time hidden gaze point correction." In ETRA '14: Eye Tracking Research and Applications. ACM, 2014. http://dx.doi.org/10.1145/2578153.2578200.

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Berichte der Organisationen zum Thema "Real-time correction"

Robert, J., and Michael Forte. Field evaluation of GNSS/GPS based RTK, RTN, and RTX correction systems. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41864.

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This Coastal and Hydraulic Engineering Technical Note (CHETN) details an evaluation of three Global Navigation Satellite System (GNSS)/Global Positioning System (GPS) real-time correction methods capable of providing centimeter-level positioning. Internet and satellite-delivered correction systems, Real Time Network (RTN) and Real Time eXtended (RTX), respectively, are compared to a traditional ground-based two-way radio transmission correction system, generally referred to as Local RTK, or simply RTK. Results from this study will provide prospective users background information on each of these positioning systems and comparisons of their respective accuracies during in field operations.

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Shtyrkova, Katia, Michael D. Oliker, Kevin P. Vitayaudom, et al. Experimental Demonstration of Real Time Gradient Gain Correction for Sodium Beacon Laser Guide Star: Postprint. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada531341.

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Pasupuleti, Murali Krishna. Quantum Intelligence: Machine Learning Algorithms for Secure Quantum Networks. National Education Services, 2025. https://doi.org/10.62311/nesx/rr925.

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Abstract: As quantum computing and quantum communication technologies advance, securing quantum networks against emerging cyber threats has become a critical challenge. Traditional cryptographic methods are vulnerable to quantum attacks, necessitating the development of AI-driven security solutions. This research explores the integration of machine learning (ML) algorithms with quantum cryptographic frameworks to enhance Quantum Key Distribution (QKD), post-quantum cryptography (PQC), and real-time threat detection. AI-powered quantum security mechanisms, including neural network-based quantum error correction (QEC), deep learning-driven anomaly detection, and reinforcement learning for adaptive encryption, provide a self-learning security model for quantum communication systems. The study also examines quantum blockchain integration, AI-optimized quantum network traffic management, and secure quantum biometric authentication as emerging trends in AI-enhanced quantum cybersecurity. Additionally, it evaluates industry adoption, policy considerations, and global quantum security initiatives across China, the US, the EU, and India. By addressing scalability, automation, and real-time quantum security monitoring, this research provides a roadmap for leveraging AI in next-generation secure quantum networks to enable fault-tolerant, self-healing cybersecurity frameworks. Keywords: Quantum intelligence, machine learning, secure quantum networks, AI-driven quantum cryptography, quantum key distribution, post-quantum cryptography, neural network-based quantum error correction, deep learning anomaly detection, reinforcement learning in quantum security, AI-driven quantum authentication, quantum blockchain security, quantum biometric authentication, quantum-enhanced AI cybersecurity, real-time quantum security monitoring, AI-optimized quantum routing, scalable quantum encryption, quantum cybersecurity policy, AI-powered post-quantum security, self-healing quantum networks, AI-driven quantum forensics.

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Kurmann, André, Étienne Lalé, and Lien Ta. Measuring Small Business Dynamics and Employment with Private-Sector Real-Time Data. CIRANO, 2022. http://dx.doi.org/10.54932/xsph3669.

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The COVID-19 pandemic has led to an explosion of research using private-sector datasets to measure business dynamics and employment in real-time. Yet questions remain about the representativeness of these datasets and how to distinguish business openings and closings from sample churn – i.e., sample entry of already operating businesses and sample exits of businesses that continue operating. This paper proposes new methods to address these issues and applies them to the case of Homebase, a real-time dataset of mostly small service-sector sector businesses that has been used extensively in the literature to study the effects of the pandemic. We match the Homebase establishment records with information on business activity from Safegraph, Google, and Facebook to assess the representativeness of the data and to estimate the probability of business closings and openings among sample exits and entries. We then exploit the high frequency / geographic detail of the data to study whether small service-sector businesses have been hit harder by the pandemic than larger firms, and the extent to which the Paycheck Protection Program (PPP) helped small businesses keep their workforce employed. We find that our real-time estimates of small business dynamics and employment during the pandemic are remarkably representative and closely fit population counterparts from administrative data that have recently become available. Distinguishing business closings and openings from sample churn is critical for these results. We also find that while employment by small businesses contracted more severely in the beginning of the pandemic than employment of larger businesses, it also recovered more strongly thereafter. In turn, our estimates suggests that the rapid rollout of PPP loans significantly mitigated the negative employment effects of the pandemic. Business closings and openings are a key driver for both results, thus underlining the importance of properly correcting for sample churn.

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Monetary Policy Report - July 2022. Banco de la República, 2022. http://dx.doi.org/10.32468/inf-pol-mont-eng.tr3-2022.

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In the second quarter, annual inflation (9.67%), the technical staff’s projections and its expectations continued to increase, remaining above the target. International cost shocks, accentuated by Russia's invasion of Ukraine, have been more persistent than projected, thus contributing to higher inflation. The effects of indexation, higher than estimated excess demand, a tighter labor market, inflation expectations that continue to rise and currently exceed 3%, and the exchange rate pressures add to those described above. High core inflation measures as well as in the producer price index (PPI) across all baskets confirm a significant spread in price increases. Compared to estimates presented in April, the new forecast trajectory for headline and core inflation increased. This was partly the result of greater exchange rate pressure on prices, and a larger output gap, which is expected to remain positive for the remainder of 2022 and which is estimated to close towards yearend 2023. In addition, these trends take into account higher inflation rate indexation, more persistent above-target inflation expectations, a quickening of domestic fuel price increases due to the correction of lags versus the parity price and higher international oil price forecasts. The forecast supposes a good domestic supply of perishable foods, although it also considers that international prices of processed foods will remain high. In terms of the goods sub-basket, the end of the national health emergency implies a reversal of the value-added tax (VAT) refund applied to health and personal hygiene products, resulting in increases in the prices of these goods. Alternatively, the monetary policy adjustment process and the moderation of external shocks would help inflation and its expectations to begin to decrease over time and resume their alignment with the target. Thus, the new projection suggests that inflation could remain high for the second half of 2022, closing at 9.7%. However, it would begin to fall during 2023, closing the year at 5.7%. These forecasts are subject to significant uncertainty, especially regarding the future behavior of external cost shocks, the degree of indexation of nominal contracts and decisions made regarding the domestic price of fuels. Economic activity continues to outperform expectations, and the technical staff’s growth projections for 2022 have been revised upwards from 5% to 6.9%. The new forecasts suggest higher output levels that would continue to exceed the economy’s productive capacity for the remainder of 2022. Economic growth during the first quarter was above that estimated in April, while economic activity indicators for the second quarter suggest that the GDP could be expected to remain high, potentially above that of the first quarter. Domestic demand is expected to maintain a positive dynamic, in particular, due to the household consumption quarterly growth, as suggested by vehicle registrations, retail sales, credit card purchases and consumer loan disbursement figures. A slowdown in the machinery and equipment imports from the levels observed in March contrasts with the positive performance of sales and housing construction licenses, which indicates an investment level similar to that registered for the first three months of the year. International trade data suggests the trade deficit would be reduced as a consequence of import levels that would be lesser than those observed in the first quarter, and stable export levels. For the remainder of the year and 2023, a deceleration in consumption is expected from the high levels seen during the first half of the year, partially as a result of lower repressed demand, tighter domestic financial conditions and household available income deterioration due to increased inflation. Investment is expected to continue its slow recovery while remaining below pre-pandemic levels. The trade deficit is expected to tighten due to projected lower domestic demand dynamics, and high prices of oil and other basic goods exported by the country. Given the above, economic growth in the second quarter of 2022 would be 11.5%, and for 2022 and 2023 an annual growth of 6.9% and 1.1% is expected, respectively. Currently, and for the remainder of 2022, the output gap would be positive and greater than that estimated in April, and prices would be affected by demand pressures. These projections continue to be affected by significant uncertainty associated with global political tensions, the expected adjustment of monetary policy in developed countries, external demand behavior, changes in country risk outlook, and the future developments in domestic fiscal policy, among others. The high inflation levels and respective expectations, which exceed the target of the world's main central banks, largely explain the observed and anticipated increase in their monetary policy interest rates. This environment has tempered the growth forecast for external demand. Disruptions in value chains, rising international food and energy prices, and expansionary monetary and fiscal policies have contributed to the rise in inflation and above-target expectations seen by several of Colombia’s main trading partners. These cost and price shocks, heightened by the effects of Russia's invasion of Ukraine, have been more prevalent than expected and have taken place within a set of output and employment recovery, variables that in some countries currently equal or exceed their projected long-term levels. In response, the U.S. Federal Reserve accelerated the pace of the benchmark interest rate increase and rapidly reduced liquidity levels in the money market. Financial market actors expect this behavior to continue and, consequently, significantly increase their expectations of the average path of the Fed's benchmark interest rate. In this setting, the U.S. dollar appreciated versus the peso in the second quarter and emerging market risk measures increased, a behavior that intensified for Colombia. Given the aforementioned, for the remainder of 2022 and 2023, the Bank's technical staff increased the forecast trajectory for the Fed's interest rate and reduced the country's external demand growth forecast. The projected oil price was revised upward over the forecast horizon, specifically due to greater supply restrictions and the interruption of hydrocarbon trade between the European Union and Russia. Global geopolitical tensions, a tightening of monetary policy in developed economies, the increase in risk perception for emerging markets and the macroeconomic imbalances in the country explain the increase in the projected trajectory of the risk premium, its trend level and the neutral real interest rate1. Uncertainty about external forecasts and their consequent impact on the country's macroeconomic scenario remains high, given the unpredictable evolution of the conflict between Russia and Ukraine, geopolitical tensions, the degree of the global economic slowdown and the effect the response to recent outbreaks of the pandemic in some Asian countries may have on the world economy. This macroeconomic scenario that includes high inflation, inflation forecasts, and expectations above 3% and a positive output gap suggests the need for a contractionary monetary policy that mitigates the risk of the persistent unanchoring of inflation expectations. In contrast to the forecasts of the April report, the increase in the risk premium trend implies a higher neutral real interest rate and a greater prevailing monetary stimulus than previously estimated. For its part, domestic demand has been more dynamic, with a higher observed and expected output level that exceeds the economy’s productive capacity. The surprising accelerations in the headline and core inflation reflect stronger and more persistent external shocks, which, in combination with the strength of aggregate demand, indexation, higher inflation expectations and exchange rate pressures, explain the upward projected inflation trajectory at levels that exceed the target over the next two years. This is corroborated by the inflation expectations of economic analysts and those derived from the public debt market, which continued to climb and currently exceed 3%. All of the above increase the risk of unanchoring inflation expectations and could generate widespread indexation processes that may push inflation away from the target for longer. This new macroeconomic scenario suggests that the interest rate adjustment should continue towards a contractionary monetary policy landscape. 1.2. Monetary policy decision Banco de la República’s Board of Directors (BDBR), at its meetings in June and July 2022, decided to continue adjusting its monetary policy. At its June meeting, the BDBR decided to increase the monetary policy rate by 150 basis points (b.p.) and its July meeting by majority vote, on a 150 b.p. increase thereof at its July meeting. Consequently, the monetary policy interest rate currently stands at 9.0% . 1 The neutral real interest rate refers to the real interest rate level that is neither stimulative nor contractionary for aggregate demand and, therefore, does not generate pressures that lead to the close of the output gap. In a small, open economy like Colombia, this rate depends on the external neutral real interest rate, medium-term components of the country risk premium, and expected depreciation. Box 1: A Weekly Indicator of Economic Activity for Colombia Juan Pablo Cote Carlos Daniel Rojas Nicol Rodriguez Box 2: Common Inflationary Trends in Colombia Carlos D. Rojas-Martínez Nicolás Martínez-Cortés Franky Juliano Galeano-Ramírez Box 3: Shock Decomposition of 2021 Forecast Errors Nicolás Moreno Arias

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