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Articles de revues sur le sujet « Delayed-Outputs »

Auteur : Grafiati

Publié le 25 janvier 2025

Mis à jour le 31 juillet 2025

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1

Garofalo, F., and L. Glielmo. "Discrete Observes for Plant With Delayed Outputs." IFAC Proceedings Volumes 19, no. 13 (1986): 145–48. http://dx.doi.org/10.1016/s1474-6670(17)59531-2.

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Kader, Zohra, Gang Zheng, and Jean-Pierre Barbot. "Impulsive observer design for linear systems with delayed outputs." IFAC-PapersOnLine 50, no. 1 (2017): 1263–68. http://dx.doi.org/10.1016/j.ifacol.2017.08.352.

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Bouridah, M. S., T. Bouden, and M. E. Yalçin. "Delayed outputs fractional-order hyperchaotic systems synchronization for images encryption." Multimedia Tools and Applications 80, no. 10 (2021): 14723–52. http://dx.doi.org/10.1007/s11042-020-10425-3.

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Adil, A., A. Zemouche, A. Hamaz, T. M. Laleg-Kirati, I. N’Doye, and F. Bedouhene. "High-Gain Observer Design for Nonlinear Systems with Delayed Outputs." IFAC-PapersOnLine 53, no. 2 (2020): 5057–62. http://dx.doi.org/10.1016/j.ifacol.2020.12.1112.

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Palumbo, Pasquale. "A realizable observer for a flexible system with delayed outputs." IFAC Proceedings Volumes 33, no. 23 (2000): 121–26. http://dx.doi.org/10.1016/s1474-6670(17)36927-6.

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Zidong Wang and Fuwen Yang. "Robust filtering for uncertain linear systems with delayed states and outputs." IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications 49, no. 1 (2002): 125–30. http://dx.doi.org/10.1109/81.974887.

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Farza, M., O. Hernández-González, T. Ménard, M. M’Saad, and C. M. Astorga-Zaragoza. "Observer design for a class of uncertain systems with delayed outputs." IFAC-PapersOnLine 50, no. 1 (2017): 1427–32. http://dx.doi.org/10.1016/j.ifacol.2017.08.285.

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Wang, Xinhua, Jinkun Liu, and Kai-Yuan Cai. "Tracking control for a velocity-sensorless VTOL aircraft with delayed outputs." Automatica 45, no. 12 (2009): 2876–82. http://dx.doi.org/10.1016/j.automatica.2009.09.003.

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Liu, Xinpeng, and Xianqiang Yang. "Robust Variational Inference for LPV Dual-Rate Systems With Randomly Delayed Outputs." IEEE Transactions on Instrumentation and Measurement 70 (2021): 1–9. http://dx.doi.org/10.1109/tim.2021.3067242.

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Guechi, El-Hadi, Jimmy Lauber, Michel Dambrine, Gregor Klančar, and Saso Blažič. "PDC Control Design for Non-holonomic Wheeled Mobile Robots with Delayed Outputs." Journal of Intelligent & Robotic Systems 60, no. 3-4 (2010): 395–414. http://dx.doi.org/10.1007/s10846-010-9420-0.

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KUROIWA, JOUSUKE, SHIGETOSHI NARA, and KAZUYUKI AIHARA. "RESPONSE PROPERTIES OF A SINGLE CHAOTIC NEURON TO STOCHASTIC INPUTS." International Journal of Bifurcation and Chaos 11, no. 05 (2001): 1447–60. http://dx.doi.org/10.1142/s0218127401002857.

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Response properties of a single chaotic neuron to stochastic inputs are investigated by means of numerical simulations in the context of a nonlinear dynamical approach to analyzing chaotic behaviors of a neuron. We apply six kinds of stochastic inputs with the same mean rate but different correlations of interspike intervals, whose timings are determined by a stochastic process, namely, Markovian processes and Gaussian/Poisson random processes. From numerical evaluations of entropy and conditional entropies with respect to interspike intervals of outputs, it is shown that interspike intervals

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Farza, Mondher, Omar Hernández-González, Tomas Ménard, Boubekeur Targui, Mohammed M’Saad, and Carlos-Manuel Astorga-Zaragoza. "Cascade observer design for a class of uncertain nonlinear systems with delayed outputs." Automatica 89 (March 2018): 125–34. http://dx.doi.org/10.1016/j.automatica.2017.12.012.

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Tarbouriech, S., J. M. Gomes Da Silva, and G. Garcia. "Delay-dependent anti-windup strategy for linear systems with saturating inputs and delayed outputs." International Journal of Robust and Nonlinear Control 14, no. 7 (2004): 665–82. http://dx.doi.org/10.1002/rnc.899.

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Arezki, H., K. Chaib Draa, A. Zemouche, and C. P. Tan. "Estimation and output feedback stabilization for switched linear discrete-time systems with delayed-outputs." European Journal of Control 84 (July 2025): 101229. https://doi.org/10.1016/j.ejcon.2025.101229.

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Li, Jiayi, Qiang Cai, Pu Li, Yi Yang, K. Alan Shore, and Yuncai Wang. "Image recognition based on optical reservoir computing." Chaos: An Interdisciplinary Journal of Nonlinear Science 32, no. 12 (2022): 123106. http://dx.doi.org/10.1063/5.0110838.

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We propose an image recognition approach using a single physical node based optical reservoir computing. Specifically, an optically injected semiconductor laser with self-delayed feedback is used as the reservoir. We perform a handwritten-digit recognition task by greatly increasing the number of virtual nodes in delayed feedback using outputs from multiple delay times. Final simulation results confirm that the recognition accuracy can reach 99% after systematically optimizing the reservoir hyperparameters. Due to its simple architecture, this scheme may provide a resource-efficient alternativ

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Lavretsky, E., N. Hovakimyan, and A. J. Calise. "Upper bounds for approximation of continuous-time dynamics using delayed outputs and feedforward neural networks." IEEE Transactions on Automatic Control 48, no. 9 (2003): 1606–10. http://dx.doi.org/10.1109/tac.2003.816987.

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Aireen, Angeles Aguirre-Lachica, and E. Pineda Phd Jesusa. "Printed Distance Learning Modality and Teaching Strategies in English in the New Normal." International Journal of Social Science And Human Research 06, no. 03 (2023): 1647–52. https://doi.org/10.5281/zenodo.7752350.

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This qualitative study utilized the narrative approach to determine the advantages and disadvantages of printed modular distance learning in terms of lesson preparation and assessment of students’ outputs based on the experiences of six teachers in a public elementary school in Negros Occidental in the School Year 2021-2022, the strategies they employed in lesson preparation and assessment of students’ outputs, and the insights they gained into their strategies when they engaged in printed modular distance learning modality. The findings reveal the following: (a) Modules are readil

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Sun, Lantao, Gang Chen, and Walter A. Robinson. "The Role of Stratospheric Polar Vortex Breakdown in Southern Hemisphere Climate Trends." Journal of the Atmospheric Sciences 71, no. 7 (2014): 2335–53. http://dx.doi.org/10.1175/jas-d-13-0290.1.

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Abstract This paper investigates the connection between the delay in the final breakdown of the stratospheric polar vortex, the stratospheric final warming (SFW), and Southern Hemisphere climate trends. The authors first analyze Interim European Centre for Medium-Range Weather Forecasts (ECMWF) Re-Analysis (ERA-Interim) and three climate model outputs with different climate forcings. Climate trends appear when there is a delay in the timing of SFWs. When regressed onto the SFW dates (which reflect the anomaly when the SFW is delayed for one standard deviation of its onset dates), the anomaly p

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Djennoune, Said, Maamar Bettayeb, and Ubaid Muhsen Al-Saggaf. "Synchronization of fractional–order discrete–time chaotic systems by an exact delayed state reconstructor: Application to secure communication." International Journal of Applied Mathematics and Computer Science 29, no. 1 (2019): 179–94. http://dx.doi.org/10.2478/amcs-2019-0014.

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Abstract This paper deals with the synchronization of fractional-order chaotic discrete-time systems. First, some new concepts regarding the output-memory observability of non-linear fractional-order discrete-time systems are developed. A rank criterion for output-memory observability is derived. Second, a dead-beat observer which recovers exactly the true state system from the knowledge of a finite number of delayed inputs and delayed outputs is proposed. The case of the presence of an unknown input is also studied. Third, secure data communication based on a generalized fractional-order Héno

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Hernández-González, O., M. Farza, T. Ménard, B. Targui, M. M’Saad, and C. M. Astorga-Zaragoza. "A cascade observer for a class of MIMO non uniformly observable systems with delayed sampled outputs." Systems & Control Letters 98 (December 2016): 86–96. http://dx.doi.org/10.1016/j.sysconle.2016.10.006.

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Dimassi, H., A. Loria, and S. Belghith. "Adaptive observers-based synchronization of a class of Lur'e systems with delayed outputs for chaotic communications." IFAC Proceedings Volumes 45, no. 12 (2012): 255–60. http://dx.doi.org/10.3182/20120620-3-mx-3012.00015.

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Park, Hyunbin, and Shiho Kim. "Single Inductor Multiple Output Auto-Buck-Boost DC–DC Converter with Error-Driven Randomized Control." Electronics 9, no. 9 (2020): 1335. http://dx.doi.org/10.3390/electronics9091335.

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We propose a single inductor multiple output (SIMO) auto-buck-boost DC–DC converter with error-driven randomized control (EDRC). The conventional controls in a SIMO DC–DC converter supply power to outputs that have been selected in a sequential order. Furthermore, they control the inductor current levels at either edge of a switching period in a steady state to be at the same level to alleviate cross-regulation. However, this limits the flexibility of the converter to respond to changes in load requirements. A sequential selection of light loads results in these loads being selected more often

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Myers, Catherine. "LEARNING WITH DELAYED REINFORCEMENT THROUGH ATTENTION-DRIVEN BUFFERING." International Journal of Neural Systems 01, no. 04 (1991): 337–46. http://dx.doi.org/10.1142/s0129065791000376.

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Learning with delayed reinforcement refers to situations where the reinforcement to a learning system occurs only at the end of a string of actions or outputs, and it must then be assigned back to the relevant actions. A method for accomplishing this is presented which buffers a small number of past actions based on the unpredictability of or attention to each as it occurs. This approach allows for the buffer size to be small, and yet learning can reach indefinitely far back into the past; it also allows the system to learn when reinforcement is not only delayed but also reinforcements from ot

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Saini, Vikram, and Lillie Dewan. "Instrument variable method based on nonlinear transformed instruments for Hammerstein system identification." Journal of Vibration and Control 24, no. 13 (2017): 2802–14. http://dx.doi.org/10.1177/1077546317694770.

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An extended instrumental variable (EIV) method is considered for the stochastic Hammerstein system (ARMAX and general model structure). The EIV method provides consistent parameter estimates by eliminating noise-induced bias in the least square (LS) method. To estimate the parameters, the Hammerstein model is formulated using the bilinear parameterization. The bilinear model is identified by introducing the nonlinear instrumental variables obtained from transformed delayed outputs using nonlinear mapping and polynomial basis of delayed inputs. These instruments are analyzed in full generality

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Madhavan, Radhika, Arjun K. Bansal, Joseph R. Madsen, et al. "Neural Interactions Underlying Visuomotor Associations in the Human Brain." Cerebral Cortex 29, no. 11 (2018): 4551–67. http://dx.doi.org/10.1093/cercor/bhy333.

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Abstract Rapid and flexible learning during behavioral choices is critical to our daily endeavors and constitutes a hallmark of dynamic reasoning. An important paradigm to examine flexible behavior involves learning new arbitrary associations mapping visual inputs to motor outputs. We conjectured that visuomotor rules are instantiated by translating visual signals into actions through dynamic interactions between visual, frontal and motor cortex. We evaluated the neural representation of such visuomotor rules by performing intracranial field potential recordings in epilepsy subjects during a r

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Spindler, A., and J. Krampe. "Quality control of wastewater treatment operational data by continuous mass balancing: dealing with missing measurements and delayed outputs." Water Quality Research Journal 50, no. 3 (2015): 228–39. http://dx.doi.org/10.2166/wqrjc.2015.056.

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Continuous mass balancing defines a new standard in data quality validation. Likewise relying on the principles of mass conservation it outperforms long-term static mass balancing approaches because faults in data can be assigned to their time of occurrence. This research was carried out with practical application to routine operational data in mind and two major aspects are investigated to make this application feasible. Sludge concentrations of typically balanced components (chemical oxygen demand, total nitrogen, total phosphate) are not routinely measured in wastewater treatment plants. Th

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Bai, Manying, and Yazhou Gao. "Chaos Control on a Duopoly Game with Homogeneous Strategy." Discrete Dynamics in Nature and Society 2016 (2016): 1–7. http://dx.doi.org/10.1155/2016/7418252.

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We study the dynamics of a nonlinear discrete-time duopoly game, where the players have homogenous knowledge on the market demand and decide their outputs based on adaptive expectation. The Nash equilibrium and its local stability are investigated. The numerical simulation results show that the model may exhibit chaotic phenomena. Quasiperiodicity is also found by setting the parameters at specific values. The system can be stabilized to a stable state by using delayed feedback control method. The discussion of control strategy shows that the effect of both firms taking control method is bette

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Uzezi IDHALAMA (CLN), Ogagaoghene, Kingsley Efe OSAWARU (CLN), Magnus Osahon IGBINOVIA (CLN), and Prisca Iheoma NWACHUKWU. "Scholarly Research Outputs and Vulnerability of Nigerian Lecturers to Predatory Journals." World Journal of Educational Research 10, no. 1 (2023): p1. http://dx.doi.org/10.22158/wjer.v10n1p1.

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This study investigated scholarly research outputs and vulnerability of Nigerian lecturers to predatory journals. Five objectives were formulated to guide the study. A descriptive survey research design was adopted using the online Google Form to collect data/responses from lecturers across board in Nigeria. The population of the study comprised lecturers in Nigeria. The sampling technique used for the study was the total enumeration sampling technique (107) as the whole responses were analysed using frequencies, percentages, mean and standard deviation for easy appreciation and comprehension,

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Xie, L. B., L. S. Shieh, J. S. H. Tsai, C. Y. Wu, and J. J. Park. "Digital and analog integer delayed modeling and control for multivariable systems with multiple time delays in states, inputs and outputs." Applied Mathematical Modelling 40, no. 2 (2016): 1615–33. http://dx.doi.org/10.1016/j.apm.2015.08.012.

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Ohtomo, Atsushi, and Yasuharu Sasaki. "Configuration and Optimal Control of Hydraulic/Pneumatic Hybrid Actuator with 2-DOF." Journal of Robotics and Mechatronics 13, no. 3 (2001): 238–44. http://dx.doi.org/10.20965/jrm.2001.p0238.

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A pneumatic actuator outputs large power in proportion to weight and can be installed in an inexpensive, light and compact configuration. From the standpoint of controllability, however, it is weak due to nonlinearity by compression and delayed transfer of air, it has a problem of poor accuracy in position control. To solve such problem, we propose a hydraulic/pneumatic hybrid actuator that has a pneumatic cylinder and hydraulic cylinder in parallel and uses the hydraulic cylinder as damper. We demonstrate that it can be used in practice and structurally applying it to a manipulator with 2-DOF

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Lv, Xiumei, Shiqin Xu, and Xiaoling Tang. "Investment Timing and Capacity Choice under Uncertainty." Abstract and Applied Analysis 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/801862.

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This paper examines strategic investment between two firms that compete not only for investment timing but also for capacity under stochastic market demand. The value functions of real option for the follower, the dominant leader, and the preemptive leader are derived and their investment decisions are investigated. It finds that both firms will delay investment and the delayed margin of the follower will surpass that of the leader under greater uncertainty. Furthermore, both firms will provide more outputs in the face of increasing uncertainty and the growth rate of the follower’s capacity wi

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Caballero-Águila, R., A. Hermoso-Carazo, and J. Linares-Pérez. "Least-Squares Filtering Algorithm in Sensor Networks with Noise Correlation and Multiple Random Failures in Transmission." Mathematical Problems in Engineering 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/1570719.

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This paper addresses the least-squares centralized fusion estimation problem of discrete-time random signals from measured outputs, which are perturbed by correlated noises. These measurements are obtained by different sensors, which send their information to a processing center, where the complete set of data is combined to obtain the estimators. Due to random transmission failures, some of the data packets processed for the estimation may either contain only noise (uncertain observations), be delayed (randomly delayed observations), or even be definitely lost (random packet dropouts). These

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Nam, Kyu-Hyun, Nam-Pyo Hong, and Jun-Seok Park. "A Cascade Fractional-N Synthesizer Topology of DLL and Frequency Multiplier for 5G+ Communication Systems." Electronics 13, no. 23 (2024): 4685. http://dx.doi.org/10.3390/electronics13234685.

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This study presents a synthesizer topology based on a delay-locked loop (DLL) and programmable frequency multiplier for 5G+ communication systems. The proposed synthesizer comprises a 512-phase DLL, an intermediate frequency generator (IFG), and an RF frequency multiplier (RFFM). The 512-phase DLL provides 512 delayed pulses through a chain of 256 delay units and single-to-differential complementary converters (S2DCs). The IFG comprises I/Q-multiplexers, I/Q-accumulators, an XOR, and an S2DC. The I/Q-multiplexer outputs switch to the phase lag or lead waveforms at every rising or falling edge

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Tréangle, Clément, Mondher Farza, and Mohammed M’Saad. "Observer design for a class of disturbed nonlinear systems with time-varying delayed outputs using mixed time-continuous and sampled measurements." Automatica 107 (September 2019): 231–40. http://dx.doi.org/10.1016/j.automatica.2019.05.049.

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Farrow, L., A. D. Ablett, H. W. Sargeant, T. O. Smith, and A. T. Johnston. "Does early surgery improve outcomes for periprosthetic fractures of the hip and knee? A systematic review and meta-analysis." Archives of Orthopaedic and Trauma Surgery 141, no. 8 (2021): 1393–400. http://dx.doi.org/10.1007/s00402-020-03739-2.

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Abstract Introduction Previous evidence has established that early surgery is beneficial to improve outcomes for individuals with native hip fractures in the elderly population. Patients who sustain a periprosthetic fracture have been demonstrated to have similar demographics and outcomes as those with native fractures around the hip and knee. We therefore set out to determine if there is a similar difference in perioperative outcomes between early and delayed surgery for periprosthetic fractures of the hip and knee through a systematic review and meta-analysis. Methods Literature search outpu

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Caballero-Águila, R., A. Hermoso-Carazo, and J. Linares-Pérez. "Covariance-Based Estimation from Multisensor Delayed Measurements with Random Parameter Matrices and Correlated Noises." Mathematical Problems in Engineering 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/958474.

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The optimal least-squares linear estimation problem is addressed for a class of discrete-time multisensor linear stochastic systems subject to randomly delayed measurements with different delay rates. For each sensor, a different binary sequence is used to model the delay process. The measured outputs are perturbed by both random parameter matrices and one-step autocorrelated and cross correlated noises. Using an innovation approach, computationally simple recursive algorithms are obtained for the prediction, filtering, and smoothing problems, without requiring full knowledge of the state-spac

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Pedullà, Ludovico, Elisa Gervasoni, Ambra Bisio, et al. "The last chance to pass the ball: investigating the role of temporal expectation and motor resonance in processing temporal errors in motor actions." Social Cognitive and Affective Neuroscience 15, no. 1 (2020): 123–34. http://dx.doi.org/10.1093/scan/nsaa021.

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Abstract Humans can acquire information on others’ motor outputs (action prediction) and intentions (action understanding) according to their individual motor repertoire and to the detected gesture’s features (e.g. temporal patterns). We aimed at dissociating between action prediction and action understanding abilities in soccer players and novices observing soccer action videos including correct timing pass (CTP) or delayed pass (DP). First, we used an occluding paradigm to evaluate participants’ ability to predict the correct time to pass the ball. Although soccer players showed reduced reac

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Du, Jiqing, Dan Zhou, Wei Wang, and Sachiyo Arai. "Reference Model-Based Deterministic Policy for Pitch and Depth Control of Autonomous Underwater Vehicle." Journal of Marine Science and Engineering 11, no. 3 (2023): 588. http://dx.doi.org/10.3390/jmse11030588.

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The Deep Reinforcement Learning (DRL) algorithm is an optimal control method with generalization capacity for complex nonlinear coupled systems. However, the DRL agent maintains control command saturation and response overshoot to achieve the fastest response. In this study, a reference model-based DRL control strategy termed Model-Reference Twin Delayed Deep Deterministic (MR-TD3) was proposed for controlling the pitch attitude and depth of an autonomous underwater vehicle (AUV) system. First, a reference model based on an actual AUV system was introduced to an actor–critic structure, where t

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An, Soon-Il, Jong-Seong Kug, Yoo-Geun Ham, and In-Sik Kang. "Successive Modulation of ENSO to the Future Greenhouse Warming." Journal of Climate 21, no. 1 (2008): 3–21. http://dx.doi.org/10.1175/2007jcli1500.1.

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Abstract The multidecadal modulation of the El Niño–Southern Oscillation (ENSO) due to greenhouse warming has been analyzed herein by means of diagnostics of Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report (AR4) coupled general circulation models (CGCMs) and the eigenanalysis of a simplified version of an intermediate ENSO model. The response of the global-mean troposphere temperature to increasing greenhouse gases is more likely linear, while the amplitude and period of ENSO fluctuates in a multidecadal time scale. The climate system model outputs suggest that the mu

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Geng, Yan, Xiaoe Ruan, and Hyo-Sung Ahn. "Data-Driven Networked Optimal Iterative Learning Control for Discrete Linear Time-Varying Systems with One-Operation Bernoulli-Type Communication Delays." Discrete Dynamics in Nature and Society 2017 (2017): 1–12. http://dx.doi.org/10.1155/2017/9846846.

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This paper develops a type of data-driven networked optimal iterative learning control strategy for a class of discrete linear time-varying systems with one-operation Bernoulli-type communication delays. In terms of the stochastic Bernoulli-type one-operation communication delayed inputs and outputs, the previous-iteration synchronous compensations are adopted. By means of deriving gradients of two types of objective functions that express the optimal approximation of the system matrix and the minimal tracking error, the strategy approximates the system matrix and upgrades the control inputs i

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Zhang, Yongyue, Weihua Cao, and Min Wu. "Subspace Modeling Method for Burn-Through Point." Journal of Advanced Computational Intelligence and Intelligent Informatics 20, no. 2 (2016): 279–86. http://dx.doi.org/10.20965/jaciii.2016.p0279.

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In the study, for the iron sintering process which is strongly time-delayed and confounding, a data-driven modeling method called subspace modeling method is proposed to predict the burn-through point (BTP) in this paper. First, by analyzing the mechanism of the sintering process and processing the industrial data, the relationship between the exhaust gas temperature and bellows is confirmed. Then, based on the position of the BTP, a subspace modeling method is used to establish a temperature identification model. This model outputs, the temperature of the BTP and its inputs include the exhaus

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Lu, Ya Li. "Simulation and Control of a Duopoly Model." Applied Mechanics and Materials 472 (January 2014): 146–51. http://dx.doi.org/10.4028/www.scientific.net/amm.472.146.

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This paper studies the dynamics of a duopoly model with bounded rationality and nonlinear demand function. Based on the stability theorem and Jurys criterions, we prove that the model has two unstable boundary fixed points and a local stable Nash equilibrium. Then we depict the stability region of Nash equilibrium, and investigate the effects of output adjustment speed on the players profit respectively. Theoretical analysis and simulations show that higher output adjustment speed can result in chaotic variation of outputs, and that the Nash equilibrium is the optimal result of duopoly game. T

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Burton, J. D., K. A. Edge, and C. R. Burrows. "Modeling Requirements for the Parallel Simulation of Hydraulic Systems." Journal of Dynamic Systems, Measurement, and Control 116, no. 1 (1994): 137–45. http://dx.doi.org/10.1115/1.2900668.

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Parallel simulation of systems offers the benefit of increased speed of execution, but requires the system model to be partitioned to enable numerical tasks to be performed concurrently. Hydraulic systems are characterized by a transport delay in the pipelines connecting physical components, which is due to the propagation of waves at the speed of sound through the fluid medium. The transmission delay allows component models to be decoupled for the current time step, enabling a parallel solution; the inputs to each component model are delayed outputs from connected models. This paper describes

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Zhang, Qing, Jing Feng Zheng, Ying Yue Xiao, Xian Rong Qin, Yuan Tao Sun, and Li Dong Zhang. "The Study of Winding Performance in Key Stage on a Parallel Grooved Drum." Applied Mechanics and Materials 387 (August 2013): 110–14. http://dx.doi.org/10.4028/www.scientific.net/amm.387.110.

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The parallel grooved multi-layer winding drum can wind rapidly and reliably compared to traditional multi-layer winding drum, because of the special groove which is generated by circular and helical motion. The present paper represented the key winding stage for parallel grooved drum was the helical motion in first circle on the second layer, and the stage was simulated in ADAMS under several factors as fleet angle, winding linear velocity and rope tension. Taguchi method was adopted to estimate the winding performance through two simulation outputs, including the time delay compared to ideal

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Sarkhosh, Mehdi, and Shiva Najafi. "Escritura colaborativa e individual: Efectos en el desarrollo de la precisión y fluidez." Porta Linguarum Revista Interuniversitaria de Didáctica de las Lenguas Extranjeras, no. 33 (January 31, 2020): 27–42. http://dx.doi.org/10.30827/portalin.vi33.18124.

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The present study investigates the differential effects of collaborative vs. individual writing approaches on the development of fluency and accuracy among male and female EFL learners. The study is unprecedented in terms of investigating the effect of these two approaches on fluency and accuracy development in the long-run through a delayed posttest. Additionally, the study examines the development of fluency and accuracy over seven successive sessions longitudinally. The written outputs, produced by the participants, were scored for fluency and accuracy according to the method applied by Wig

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TSUI, ALBAN PUI MAN, and ANTONIA J. JONES. "PERIODIC RESPONSE TO EXTERNAL STIMULATION OF A CHAOTIC NEURAL NETWORK WITH DELAYED FEEDBACK." International Journal of Bifurcation and Chaos 09, no. 04 (1999): 713–22. http://dx.doi.org/10.1142/s021812749900050x.

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We construct a feedforward neural network so that when the outputs are fed back into the inputs and the system is iterated it behaves chaotically. We call this the "rest state". Suppose now that an input stimulus is added to one or more inputs. Following a biologically inspired model suggested by Freeman [1991], under these conditions we should want the behavior of the network to stabilize into an unstable periodic orbit of the original system. We call this the "retrieval behavior" since it is analogous to the act of recognition. Standard methods of chaos control, such as OGY for example, used

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Farrow, L., A. D. Ablett, L. Mills, and S. Barker. "Early versus delayed surgery for paediatric supracondylar humeral fractures in the absence of vascular compromise." Bone & Joint Journal 100-B, no. 12 (2018): 1535–41. http://dx.doi.org/10.1302/0301-620x.100b12.bjj-2018-0982.r1.

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Aims We set out to determine if there is a difference in perioperative outcomes between early and delayed surgery in paediatric supracondylar humeral fractures in the absence of vascular compromise through a systematic review and meta-analysis. Materials and Methods A literature search was performed, with search outputs screened for studies meeting the inclusion criteria. The groups of early surgery (ES) and delayed surgery (DS) were classified by study authors. The primary outcome measure was open reduction requirement. Meta-analysis was performed in the presence of sufficient study homogenei

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Aba, Yılda Arzu, and Gül Ergün. "Post-Abortion Syndrome and nursing approachesPost-Abortus Sendromu ve hemşirelik yaklaşımları." International Journal of Human Sciences 13, no. 1 (2016): 768. http://dx.doi.org/10.14687/ijhs.v13i1.3577.

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The relation between the life outputs, are associated especially with the mental health outputs at Abortus and the period that follows it. Post-Abortus Syndrome (PAS) is the concept of abortus trauma management that show up with the chronic or delayed symptoms as a result of the hidden emotional reactions that are experienced because of the post-abortus physical and psychological trauma. The individual, the systemic and the social factors that are existing at post-Abortus women affect PAS development. The interventions, in general, that are oriented towards mental problems of the individual at

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Rashida, Zeenat, Rajalakshmi Srinivasan, Meghana Cyanam, and Sunil Laxman. "Kog1/Raptor mediates metabolic rewiring during nutrient limitation by controlling SNF1/AMPK activity." Science Advances 7, no. 16 (2021): eabe5544. http://dx.doi.org/10.1126/sciadv.abe5544.

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In changing environments, cells modulate resource budgeting through distinct metabolic routes to control growth. Accordingly, the TORC1 and SNF1/AMPK pathways operate contrastingly in nutrient replete or limited environments to maintain homeostasis. The functions of TORC1 under glucose and amino acid limitation are relatively unknown. We identified a modified form of the yeast TORC1 component Kog1/Raptor, which exhibits delayed growth exclusively during glucose and amino acid limitations. Using this, we found a necessary function for Kog1 in these conditions where TORC1 kinase activity is unde

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Novotna, Veronika, and Tereza Sustrova. "Order Management System Proposal Using Inventory Balance Equation with Non-continuous Replenishment." Periodica Polytechnica Social and Management Sciences 26, no. 1 (2017): 1. http://dx.doi.org/10.3311/ppso.9017.

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The purpose of this paper is to present an inventory balance model including an order-up-to replenishment policy with partial backlogging. Pictured in the model is a situation, where goods are not replenished continuously, but only at predetermined intervals. The model is described by ordinary differential equations with delayed argument because of the assumption of a time lag between ordering and delivery.A computer simulation which helps to demonstrate and verify model behaviour is utilized for the numerical solution of the model. Sales data of a real company are used as the input data.Due t

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