Academic literature on the topic 'Offline stabilization'

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Journal articles on the topic "Offline stabilization"

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Sadeghi Bogar, Mohsen, Jan Wolf, Daniel Sebastian Jens Wolz, Robert Seidel-Greiff, Evgenia Dmitrieva, Noel Israel, Marco Rosenkranz, Thomas Behnisch, Michael Thomas Müller, and Maik Gude. "Sensitivity of Offline and Inline Indicators for Fiber Stretching in Continuous Polyacrylonitrile Stabilization." Fibers 11, no. 8 (August 4, 2023): 68. http://dx.doi.org/10.3390/fib11080068.

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In carbon fiber (CF) production, the stabilization process step is the most energy- and time-consuming step in comparison with carbonization and graphitization. To develop optimization routes for energy and productivity, the stabilization needs to be monitored continuously via inline analysis methods. To prognose the evolution of high-performance CF, the density of stabilized fibers has been identified as a robust pre-indicator. As the offline analysis of density is not feasible for inline analysis, a density-soft sensor based on the stabilization indices of Fourier Transform Infrared spectrum (FTIR)-analysis and Electron Paramagnetic Resonance (EPR) Spectroscopy could potentially be used for inline monitoring. In this study, a Polyacrylonitrile-based precursor fiber (PF) stabilized in a continuous thermomechanical stabilization line with varying stretching profiles was incrementally analyzed using density, FTIR-based relative cyclization index (RCI), and EPR-based free radical concentration (FRC). Our findings show RCI and EPR dependencies for density, correlated for RCI with sensitivity by stretching to cubic model parameters, while FRC exhibits linear relationships. Therefore, this study identifies two possible soft sensors for inline density measurement, enabling autonomous energy optimization within industry 4.0-based process systems.
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Graf, Heike. "Media Practices and Forced Migration: Trust Online and Offline." Media and Communication 6, no. 2 (June 29, 2018): 149–57. http://dx.doi.org/10.17645/mac.v6i2.1281.

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This article explores the relationship between online and offline practices in the special case of forced migration. By applying a central category in social relations, trust/distrust as developed by Niklas Luhmann, this article contributes to the understanding of forced migration in the digital age. It presupposes that, without a strategy of trust, it would be almost impossible to cope with situations of unfamiliarity and uncertainty. By interviewing refugees, the question is in what contexts the refugee recognizes that they can trust (or not). The article concludes that through the combination of on- and offline communication practices, more varied mechanisms for the creation and stabilization of trust are provided. In contexts of unfamiliarity, interpersonal relations with the native inhabitants play an important role in bridging online and offline worlds.
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Anuchin, Alecksey, Galina L. Demidova, Chen Hao, Alexandr Zharkov, Andrei Bogdanov, and Václav Šmídl. "Continuous Control Set Model Predictive Control of a Switch Reluctance Drive Using Lookup Tables." Energies 13, no. 13 (June 29, 2020): 3317. http://dx.doi.org/10.3390/en13133317.

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A problem of the switched reluctance drive is its natural torque pulsations, which are partially solved with finite control set model predictive control strategies. However, the continuous control set model predictive control, required for precise torque stabilization and predictable power converter behavior, needs sufficient computation resources, thus limiting its practical implementation. The proposed model predictive control strategy utilizes offline processing of the magnetization surface of the switched reluctance motor. This helps to obtain precalculated current references for each torque command and rotor angular position in the offline mode. In online mode, the model predictive control strategy implements the current commands using the magnetization surface for fast evaluation of the required voltage command for the power converter. The proposed strategy needs only two lookup table operations requiring very small computation time, making instant execution of the whole control system possible and thereby minimizing the control delay. The proposed solution was examined using a simulation model, which showed precise and rapid torque stabilization below rated speed.
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Kummer, K. D., and W. F. Geiger. "Stabilization of Activated Sludge Processes During Wet Weather Flow through Microscreening." Water Science and Technology 29, no. 1-2 (January 1, 1994): 393–99. http://dx.doi.org/10.2166/wst.1994.0687.

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In the activated sludge process, between the aeration tank and the final clarifier, offline microscreening is introduced to separate activated sludge and purified water. The intention is to reduce the drifting of activated sludge from the aeration tank into the final clarifier. Sludge drifting usually occurs during wet weather flow loading of the treatment facility and can cause higher concentrations of ammonia and suspended solids in the effluent. Laboratory and half-technical scale experiments demonstrate that microscreening is suitable for this application. It is expected that the operational stability of activated sludge processes could be improved significantly by this process modification.
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Al-Sharman, Alham, and Catherine F. Siengsukon. "Sleep Enhances Learning of a Functional Motor Task in Young Adults." Physical Therapy 93, no. 12 (December 1, 2013): 1625–35. http://dx.doi.org/10.2522/ptj.20120502.

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Background Sleep has been demonstrated to enhance simple motor skill learning “offline” in young adults. “Offline learning” refers to either the stabilization or the enhancement of a memory through the passage of time without additional practice. It remains unclear whether a functional motor task will benefit from sleep to produce offline motor skill enhancement. Physical therapists often teach clients functional motor skills; therefore, it is important to understand how sleep affects learning of these skills. Objective The purpose of this study was to determine whether sleep enhances the learning of a functional motor task. Design A prospective, cross-sectional, repeated-measures design was used. Methods Young participants who were healthy (N=24) were randomly assigned to either a sleep group or a no-sleep group. The sleep group practiced a novel walking task in the evening and underwent retention testing the following morning, and the no-sleep group practiced the task in the morning and underwent retention testing in the evening. Outcome measures included time around the walking path and spatiotemporal gait parameters. Results Only participants who slept after practicing the novel walking task demonstrated a significant offline improvement in performance. Compared with the no-sleep group, participants in the sleep group demonstrated a significant decrease in the time around the walking path, an increase in tandem velocity, an increase in tandem step length, and a decline in tandem step time. Limitations Time-of-day effect and inability to ensure a certain amount of sleep quantity and quality of participants were limitations of the study. Conclusions This study is the first to provide evidence that sleep facilitates learning clinically relevant functional motor tasks. Sleep is an important factor that physical therapists should consider when teaching clients motor skills.
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Zhou, Xiangyang, Hao Gao, Yuan Jia, Lingling Li, Libo Zhao, and Ruifang Yu. "Parameter Optimization on FNN/PID Compound Controller for a Three-Axis Inertially Stabilized Platform for Aerial Remote Sensing Applications." Journal of Sensors 2019 (March 26, 2019): 1–15. http://dx.doi.org/10.1155/2019/5067081.

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This paper presents a composite parameter optimization method based on the chaos particle swarm optimization and the back propagation algorithms for a fuzzy neural network/proportion integration differentiation compound controller, which is applied for an aerial inertially stabilized platform for aerial remote sensing applications. Firstly, a compound controller combining both the adaptive fuzzy neural network and traditional PID control methods is developed to deal with the contradiction between the control precision and robustness due to disturbances. Then, on the basis of both the chaos particle swarm optimization and the back propagation compound algorithms, the parameters of the fuzzy neural network/PID compound controller are optimized offline and fine-tuned online, respectively. In this way, the compound controller can achieve good adaptive convergence so as to get high stabilization precision under the multisource dynamic disturbance environment. To verify the method, the simulations are carried out. The results show that the composite parameter optimization method can effectively enhance the convergence of the controller, by which the stabilization precision and disturbance rejection capability of the proposed fuzzy neural network/PID compound controller are improved obviously.
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Sofyan Fadly, Eby, and Jian Budiarto. "Aplikasi Evaluasi Perkembangan Latihan Atlet Panahan Menggunakan Progressive Web Application." JTIM : Jurnal Teknologi Informasi dan Multimedia 1, no. 1 (May 4, 2019): 8–13. http://dx.doi.org/10.35746/jtim.v1i1.6.

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Arrihu Archery is one of the archery clubs in the city of Mataram. Before taking the test to increase the level, participants will take part in the stabilization exercise in preparation for the exam. The problem faced was that the exercise carried out took a long time and the trainers had difficulty in monitoring the progress of the participants. This writing aims to accelerate the exercise and make it easier to monitor the training of participants. Therefore, it is necessary to build an Application to Evaluate the Development of Archery Athlete Exercises using Progressive Web Application. The design of this system is done by the waterfall methodology, which is a system development method that begins with planning, system design, making Web Service APIs, and creating Service Workers in the Progressive Web App application. The results that have been achieved in this study are the creation of applications to assist the stabilization training process and assist in monitoring the progress of trainees. This application is able to cache and be able to display pages offline. This application runs well on the google chrome browser version 43+
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Xue, Kaijia, Congqing Wang, Zhiyu Li, and Hanxin Chen. "Online Adaptive Error Compensation SVM-Based Sliding Mode Control of an Unmanned Aerial Vehicle." International Journal of Aerospace Engineering 2016 (2016): 1–14. http://dx.doi.org/10.1155/2016/8407491.

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Unmanned Aerial Vehicle (UAV) is a nonlinear dynamic system with uncertainties and noises. Therefore, an appropriate control system has an obligation to ensure the stabilization and navigation of UAV. This paper mainly discusses the control problem of quad-rotor UAV system, which is influenced by unknown parameters and noises. Besides, a sliding mode control based on online adaptive error compensation support vector machine (SVM) is proposed for stabilizing quad-rotor UAV system. Sliding mode controller is established through analyzing quad-rotor dynamics model in which the unknown parameters are computed by offline SVM. During this process, the online adaptive error compensation SVM method is applied in this paper. As modeling errors and noises both exist in the process of flight, the offline SVM one-time mode cannot predict the uncertainties and noises accurately. The control law is adjusted in real-time by introducing new training sample data to online adaptive SVM in the control process, so that the stability and robustness of flight are ensured. It can be demonstrated through the simulation experiments that the UAV that joined online adaptive SVM can track the changing path faster according to its dynamic model. Consequently, the proposed method that is proved has the better control effect in the UAV system.
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Yapanto, Alvian Mohamad. "Flail Chest: A Literature Review." Eduvest - Journal of Universal Studies 2, no. 4 (April 18, 2022): 660–72. http://dx.doi.org/10.59188/eduvest.v2i4.428.

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This study aims to make a review about flail chest management so this can be a simple and useful reference for surgeons to make a decision for flail chest management decisions. The research method used in this research is descriptive qualitative method. The type of data used in this study is qualitative data, which is categorized into two types, namely primary data and secondary data. Sources of data obtained through library research techniques (library studies) which refers to sources available both online and offline such as: scientific journals, books and news sourced from trusted sources. From the results of research and discussion concluded that early surgical stabilization of rib fracture has better outcome in the cases of ribs fracture which are severe enough
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Cheng, Yingying, Bo Xie, and Keyu An. "Analysis of Omni-Channel Evolution Game Strategy for E-Commerce Enterprises in the Context of Online and Offline Integration." Systems 11, no. 7 (June 23, 2023): 321. http://dx.doi.org/10.3390/systems11070321.

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With the upgrading of people’s consumption patterns, the omni-channel supply chain becomes the mainstream form of e-commerce platform enterprise development. Aiming at two different e-commerce enterprises, we construct an evolutionary game model for enterprises’ “online+offline” omni-channel construction strategy by self-build or cooperating with brick-and-mortar stores. It is based on the Stackelberg and Cournot competition model, combined with the omni-channel pricing strategy, using the theory of perfect rationality and bounded rationality, and combing the non-cooperative game and evolutionary game to realize. Moreover, the evolutionary game process is simulated. Through the dynamic changes of the system, the strategy selection behavior mechanism of the retail channel subjects is deeply analyzed. It is found that enterprises’ strategy choices are influenced by both competitors and profits, and evolutionary stabilization strategies are not unique. In addition, changes in consumer loyalty, physical feelings, and sharing ratio during the evolutionary process will affect the stability rate of enterprises’ behavioral choices.
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Dissertations / Theses on the topic "Offline stabilization"

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Chetry, Manisha. "Advanced reduced-order modeling and parametric sampling for non-Newtonian fluid flows." Electronic Thesis or Diss., Ecole centrale de Nantes, 2023. http://www.theses.fr/2023ECDN0011.

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Le sujet de cette thèse porte sur laréduction d'ordre de modèle (MOR) deproblèmes d'écoulement non-Newtonianparamétrés qui ont des applicationsindustrielles importantes. Les méthodestraditionnelles de réduction de l'ordre desmodèles limitent les performances decalcul de ces problèmes hautement nonlinéaires, nous suggérons donc une techniqued'hyper-réduction avancée basée sur uneapproximation sparse de l'évaluation destermes non linéaire à complexité reduite.Nous proposons également une stratégie destabilisation hors ligne pour stabiliser le modèleconstitutif dans le modèle d'ordre réduit quiest moins cher à calculer tout en maintenant laprécision du modèle d'ordre complet. Lacombinaison des deux réduit drastiquement lecoût du processeur, augmentantinévitablement les performances du MOR. Cetravail est validé sur deux problèmes debenchmark. En outre, une stratégied'échantillonnage adaptatif est égalementprésentée dans ce manuscrit, qui est réaliséeen tirant parti de l'approximation des modèlesmulti-fidélité. Vers la fin de la thèse, nousabordons un autre problème qui estgénéralement observé dans les cas où desmaillages d'éléments finis adaptatifs sontdéployés. Dans de tels cas, les méthodes MORne parviennent pas à produire unereprésentation de faible dimension car lessnapshots ne sont pas des vecteurs de mêmelongueur. Par conséquent, nous suggérons uneméthodologie qui peut générer des fonctionsde base réduites pour des snapshotsadaptative
The subject of this thesis concernsmodel-order reduction (MOR) of parameterizednon-Newtonian flow problems that havesignificant industrial applications. TraditionalMOR methods constrain the computationalperformance of such highly nonlinear problems,so we suggest a state-of-the-art hyper-reductiontechnique based on a sparse approximation totackle the evaluation of nonlinear terms at muchreduced complexity. We also provide offlinestabilization strategy for stabilizing theconstitutive model in the reduced order modelframework that is less expensive to computewhile maintaining the full order model's (FOM)accuracy. Combining the two significantlylowers the CPU cost as compared to the FOMevaluation which inevitably boosts MORperformance. This work is validated on twobenchmark flow problems. Additionally, anadaptive sampling strategy is also presented inthis manuscript which is achieved byleveraging multi-fidelity model approximation.Towards the end of the thesis, we addressanother issue that is typically observed forcases when adaptive finite element meshesare deployed. In such cases, MOR methods failto produce a low-dimensional representationsince the snapshots are not vectors of samelength. We therefore, suggest an alternatemethod that can generate reduced basisfunctions for database of space-adaptedsnapshots
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Burgetová, Dominika. "Vliv cviků mobility v offline a online prostředí na subjektivní vnímání bolesti zad." Master's thesis, 2021. http://www.nusl.cz/ntk/nusl-451079.

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Title: Effect of mobility exercises in offline and online environment on subjective perception of back pain Objectives: The main goal of this work was to determine whether the onset of daily mobility contributes to the reduction of individual's back pain perception. Within the work the results between the offline and online group was compared. Methods: The diploma thesis has the character of qualitative research, where case study of 20 probands was applied. Online input and output questionnaires were compiled to obtain data, which respondents filled in at the beginning and end of the intervention. Results: The research included 11 women and 9 men aged 21 - 44 years. Individuals have mostly sedentary jobs and some of them play recreational sports in their free time. At the end of the intervention, all individuals showed an improvement on the scale of the pain intensity, when the perceived back pain was alleviated or disappeared. The offline group performed better than the online group. Conclusion: The study confirmed that the inclusion of daily mobility contributes to the reduction of subjectively perceived back pain. It confirmed that exercising in offline lessons is more effective than in an online environment. Keywords: mobility, back pain, diaphragmatic breathing, torso stabilization, DNS
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Conference papers on the topic "Offline stabilization"

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Zhijian Ji, Xiaoxia Guo, and Long Wang. "Online and Offline Stabilization of Switched Linear Systems." In 2007 IEEE International Conference on Control and Automation. IEEE, 2007. http://dx.doi.org/10.1109/icca.2007.4376310.

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Sheaffer, Jeremy W., Michael J. Moore, Maksim Bobrov, Adam J. Webster, and Myra Torres. "Motion tracking for realtime, offline image stabilization with limited hardware." In 2012 IEEE Western New York Image Processing Workshop (WNYIPW). IEEE, 2012. http://dx.doi.org/10.1109/wnyipw.2012.6466643.

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