Thematische Bibliographien / Dynamical filtrations / Zeitschriftenartikel

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Zeitschriftenartikel zum Thema „Dynamical filtrations“

Autor: Grafiati

Veröffentlicht am 14. Dezember 2024

Zuletzt aktualisiert am 19. Juli 2025

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Bartłomiejczyk, P., and Z. Dzedzej. "Index filtrations and Morse decompositions for discrete dynamical systems." Annales Polonici Mathematici 72, no. 1 (1999): 51–70. http://dx.doi.org/10.4064/ap-72-1-51-70.

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Gordin, M. I. "Double extensions of dynamical systems and constructing mixing filtrations." Journal of Mathematical Sciences 99, no. 2 (2000): 1053–60. http://dx.doi.org/10.1007/bf02673626.

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Jiao, Rui, Wei Liu, and Yijun Hu. "The Optimal Consumption, Investment and Life Insurance for Wage Earners under Inside Information and Inflation." Mathematics 11, no. 15 (2023): 3415. http://dx.doi.org/10.3390/math11153415.

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This paper studies the dynamically optimal consumption, investment and life-insurance strategies for a wage earners under inside information and inflation. Assume that the wage earner can invest in a risk-free asset, a risky asset and an inflation-indexed bond and that the wage earner can obtain some additional information on the risky asset from the financial market. By maximizing the expected utility of the wage earner’s consumption, inheritance and terminal wealth, we obtain the dynamically optimal consumption, investment and life-insurance strategies for the wage earner. The method of this paper is mainly based on (dynamical) stochastic control theory and the technique of enlargement of filtrations. Moreover, sensitivity analysis is carried out, which reveals that a wage earner with inside information tends to increase his/her consumption and investment, while reducing his/her purchase of life insurance.

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KCHIA, YOUNES, and PHILIP PROTTER. "PROGRESSIVE FILTRATION EXPANSIONS VIA A PROCESS, WITH APPLICATIONS TO INSIDER TRADING." International Journal of Theoretical and Applied Finance 18, no. 04 (2015): 1550027. http://dx.doi.org/10.1142/s0219024915500272.

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The development of the theory of the expansion of filtrations took place mostly three decades ago, in the 1980s. Researchers developed two types of expansions: Initial expansions, where one adds information to the σ algebra ℱ0, and progressive expansions, where information is added dynamically to turn a positive random variable (such as a last exit time) into a stopping time. The goal was to preserve the semimartingale property in the enlarged filtration. In this paper, we propose a new type of expansion, that of expansion with a stochastic process. This has antecedents in the work of Jeulin, Kohatsu-Higa, and a few others, but the theoretical and systematic approach given here is new. We begin by showing one can enlarge a filtration with a point process rather easily, and that semimartingales remain semimartingales under the expansions, if done correctly. Since one can approximate most stochastic processes with marked point processes, we then prove convergence theorems of the sequence of point processes together with their corresponding enlarged filtrations. To do this, we rely on a theory of the convergence of filtrations. We next need to give conditions such that semimartingales remain semimartingales in the limit. This is delicate, and we obtain partial results, but they are sufficient for our needs; this involves a kind of continual initial expansion procedure. One drawback of this procedure is that we do not always obtain the semimartingale decompositions for the enlarged filtrations of the limiting case, except in a class of examples that are in a Brownian motion paradigm. Recently, there have been attempts to model mathematically insider trading via a theory of enlarged filtrations. There are many technical issues involved, and creating a model with the presence of arbitrage is a constant problem, a situation one wishes to avoid. We show how one can use this procedure to create models of insider trading that do not have arbitrage opportunities, but under which the risk neutral measure for the insider is different than is the risk neutral measure for the rest of the market.

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Atamanyuk, Volodymyr, and Yaroslav Gumnytskyi. "Mass Exchange Dynamics During the Second Filtration Drying Period." Chemistry & Chemical Technology 3, no. 2 (2009): 129–37. http://dx.doi.org/10.23939/chcht03.02.129.

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The work is dedicated to theoretical and experimental investigations of kinetics and dynamics of filtration drying of capillary and pore materials, and mineral granulated fertilizers, in particular. The proposed physical model of a moist particle and the differential system of equations which describes heat exchange in the second drying period enables to determine the transfer velocity of mass-exchange zone in a dispersion layer of the material during filtration drying.

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Razvan, M. R. "On Conley's fundamental theorem of dynamical systems." International Journal of Mathematics and Mathematical Sciences 2004, no. 26 (2004): 1397–401. http://dx.doi.org/10.1155/s0161171204202125.

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Savrassov, Ju S. "Algorithms of filtration and extrapolation for discrete-time dynamical systems." Acta Applicandae Mathematicae 30, no. 3 (1993): 193–263. http://dx.doi.org/10.1007/bf00995471.

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Duda, Zdzisław. "Hierarchical filtration for distributed linear multisensor systems." Archives of Control Sciences 22, no. 4 (2012): 507–18. http://dx.doi.org/10.2478/v10170-011-0038-7.

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In the paper two filtration algorithms for distributed multisensor system are presented. The first one is derived for a linear dynamical system composed of local subsystems described by local state equations. Local estimates are sent to a central station to be fused and formed an optimal global estimate. The second algorithm is derived for a system observed by local nodes that determine estimates of the whole system using local information and periodically aggregated information from other nodes. Periodically local estimates are sent to the central station to be fused. Owing to this a reduced communication can be achieved

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H.Z, Igamberdiev, and Kholodzhayev B.A. "ALGORITHMS FOR SUSTAINABLE RECOVERY OF INPUT INFLUENCE ON THE BASIS OF DYNAMIC FILTRATION METHODS." International Journal of Psychosocial Rehabilitation 24, no. 03 (2020): 232–39. http://dx.doi.org/10.37200/ijpr/v24i3/pr200774.

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Mahamadou Harouna, Bassirou, Othmane Benkortbi, Salah Hanini, and Abdeltif Amrane. "Modeling of transitional pore blockage to cake filtration and modified fouling index – Dynamical surface phenomena in membrane filtration." Chemical Engineering Science 193 (January 2019): 298–311. http://dx.doi.org/10.1016/j.ces.2018.07.054.

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Bang, Jong-Geun, and Yoong-Sup Yoon. "Analysis of Filtration Performance by Brownian Dynamics." Transactions of the Korean Society of Mechanical Engineers B 33, no. 10 (2009): 811–19. http://dx.doi.org/10.3795/ksme-b.2009.33.10.811.

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Afanasyev, Y. D., and E. K. Demirov. "A variational filtration and interpolation technique for PIV employing fluid dynamical constraints." Experiments in Fluids 39, no. 5 (2005): 828–35. http://dx.doi.org/10.1007/s00348-005-0017-5.

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Jasiński, Bartłomiej. "Określenie dynamicznej filtracji płuczek wiertniczych w warunkach HPHT z użyciem nowatorskiej metody pomiarowej." Nafta-Gaz 74, no. 2 (2018): 85–95. http://dx.doi.org/10.18668/ng.2018.02.02.

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Zakariah, Yusof, Abdul Wahab Norhaliza, Ibrahim Syahira, Sahlan Shafishuhaza, and Che Razali Mashitah. "Modeling of submerged membrane filtration processes using recurrent artificial neural networks." International Journal of Artificial Intelligence (IJ-AI) 9, no. 1 (2020): 155–63. https://doi.org/10.11591/ijai.v9.i1.pp155-163.

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The modeling of membrane filtration processes is a challenging task because it involves many interactions from both biological and physical operational behavior. Membrane fouling behaviour in filtration processes is complex and hard to understand, and to derive a robust model is almost not possible. Therefore, it is the aim of this paper to study the potential of time series neural network based dynamic model for a submerged membrane filtration process. The developed model that represent the dynamic behavior of filtration process is later used in control design of the membrane filtration processes. In order to obtain the dynamic behaviour of permeate flux and transmembrane pressure (TMP), a random step was applied to the suction pump. A recurrent neural network (RNN) structure was employed to perform as the dynamic models of a filtration process, based on nonlinear autoregressive with exogenous input (NARX) model structure. These models are compared with the linear auto-regressive with exogenous input (ARX) model. The performance of the models were evaluated in terms of %R 2 , mean square error (MSE,) and a mean absolute deviation (MAD). For filtration control performance, a proportional integral derivative (PID) controller was implemented. The results showed that the RNN-NARX structure able to model the dynamic behavior of the filtration process under normal conditions in short range of the filtration process. The developed model can also be a reliable assistant for two different control strategies development in filtration processes.

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Yelisieiev, Volodymyr, Vasyl Lutsenko, and Vadim Berkout. "Filtration of dynamically adsorbed gas in a bidisperse porous layer." Geo-Technical Mechanics, no. 169 (2024): 118–25. https://doi.org/10.15407/geotm2024.169.118.

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Among the problems related to filtration and mass transfer in porous bodies, the problems of the adsorption-desorption are currently of the greatest interest. This is due to a wide range of problems: the safety of mining and coal developments, the extraction of combustible gases, the storage of greenhouse gases in formations. At the same time, in theoretical terms, issues related to the multi-scale nature of fractured-porous media, in particular, mining and coal seams, are gaining wide popularity. This paper considers the problem of filtration flow during gas injection into a porous formation, taking into account gas adsorption both on the surface of channels in macropores and during volumetric sedimentation in micropores. In the paper, it is assumed that the entire pore space of a coal seam, according to the results of recent studies, can be divided into two parts of mutually connected areas that differ from each other in their characteristic sizes of pore channels and, accordingly, with a large difference in permeability. The main attention is paid to the filtration features of the process of adsorbed gas flow in the reservoir. The developed model is based on the theory of inertialess gas motion, i.e. using the Darcy equation written in each zone separately. It is assumed according to the literature that the adsorption process obeys the Langmuir-type equation. The problem considers two stages of the process: gas injection into the reservoir and the process of filtration pressure establishment during reservoir blockage. Pressure changes in two different channel systems are shown depending on the intensity of gas flow from one pore branch of the system to another. With intensive overflows, pressure differences between the areas are insignificant. With weak overflows, the differences are large, which should lead to large internal stresses. The calculations performed qualitatively show the dynamics of the adsorption process during gas movement in the reservoir. It follows from the calculations that it largely depends on the structure of the pore space. With intensive overflows, the adsorption process practically follows the change in pressure in the entire pore space. For weak flows, the resulting large pressure differences between the two regions affect the adsorption process.

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Wang, Hao, Junfei Wu, Ping Fu, Zhiping Qu, Wenjie Zhao, and Yixuan Song. "CFD-DEM Study of Bridging Mechanism of Particles in Ceramic Membrane Pores under Surface Filtration Conditions." Processes 10, no. 3 (2022): 475. http://dx.doi.org/10.3390/pr10030475.

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In the surface filtration process with pores larger than the particle size, the formation of particle bridges plays a crucial role in the filter cake structure and the filtration efficiency throughout the filtration process. First, to understand the microscopic information required for the bridging mechanism, we use the two-way coupling of computational fluid dynamics (CFD)–discrete element method (DEM) to simulate the deposition characteristics of particles in the pores of ceramic membranes. Next, by dynamically observing the deposition morphology and bridging process of particles, the bridging mechanism was revealed at the level of a single hole. Then, we studied the influence of particle concentration and inlet velocity on the bridge erection process. The results show that the bridging function of particles runs through the clean filtration stage and the transition stage. Particle concentration and inlet flow rate have a crucial influence on the formation of particle bridges and filtration efficiency.

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Boychuk, Leonid M. "Two Approaches to the Structural Synthesis of Control Systems: Dynamical Filtration and Automatic Compensation." Journal of Automation and Information Sciences 30, no. 6 (1998): 13–22. http://dx.doi.org/10.1615/jautomatinfscien.v30.i6.20.

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Gotfredsen, Anders, Lene Bæksgaard, and And Jannik Hilsted. "Body composition analysis by DEXA by using dynamically changing samarium filtration." Journal of Applied Physiology 82, no. 4 (1997): 1200–1209. http://dx.doi.org/10.1152/jappl.1997.82.4.1200.

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Gotfredsen, Anders, Lene Bæksgaard, and Jannik Hilsted.Body composition analysis by DEXA by using dynamically changing samarium filtration. J. Appl. Physiol.82(4): 1200–1209, 1997.—Dual-energy X-ray absorptiometry (DEXA) has a high accuracy for body composition analysis but is influenced by beam hardening and other error sources in the extremes of measurement. To compensate for beam hardening, the Norland XR-36 introduces a dynamically changing samarium filtration system, which depends on the current-absorber thickness. With this system we found a good agreement ( r = 0.99) between reference and measured amounts of tissue or fat percentages in a plastic phantom and in smaller (∼0.5–4 kg) and larger (∼5–20 kg) piles of tissue (ox muscle and lard). Scans of six healthy volunteers covered with combinations of beef and lard (∼5–15 kg) showed a good agreement ( r = 0.99) between reference and DEXA values of added soft tissue mass and fat percentage. We conclude that the DEXA method (and, in particular, the Norland XR-36 using dynamic filtration) has a high accuracy for body composition analysis. It has a potential for gaining status as a reference method in the future and may presently be used as a supplement to the traditional methods for body composition analysis.

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Pongsumpun, Puntipa, and Puntani Pongsumpun. "The Simulation Model of Dengue Transmission by Gender of Human in Thailand." International Journal of Membrane Science and Technology 10, no. 4 (2023): 1319–31. http://dx.doi.org/10.15379/ijmst.v10i4.2246.

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Dengue disease can be transmitted to human by the biting of infected Aedes aegypti mosquitoes. This disease has 4 serotypes such as DEN-1, DEN-2, DEN-3 and DEN-4. The symptoms of this disease are high fever, headache, body aches, nausea and rash. This paper describes the spread of this disease by formulating the dynamical model between human and mosquito populations. The human are separating into man and woman populations. The standard dynamical modelling method is used to analyze our dynamical model. The numerical solutions are presented. The basic reproduction value of the disease is found. The way for reducing the transmission of this disease is introduced.

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Feng, Xiao, Shilei Zhang, Zhenzhong Shi, et al. "Evolution Mechanism of Filtration Characteristics of Cement Grouting Materials in Sandy Medium." Materials 18, no. 10 (2025): 2385. https://doi.org/10.3390/ma18102385.

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The seepage diffusion of cement grouting materials into a sandy medium is influenced by the skeleton’s adsorption and the pore channels’ tortuosity, resulting in heterogeneous retention of cement particles during migration. This study established a theoretical model for the filtration coefficient based on the mass balance equation and linear filtration law. Grouting tests were conducted to determine the density of the cement slurry at various diffusion positions, and the filtration coefficient was calculated using the theoretical model. Results indicate that the filtration coefficient varies dynamically along the diffusion distance rather than remaining constant. The surface filtration range of Grade 42.5 Portland Cement slurry in sample S1 is approximately 30 cm, with a final diffusion distance of 190 cm. In contrast, the surface filtration ranges for the 800 mesh superfine cement in S2 and the 1250 mesh superfine cement in S3 are less than 10 cm, resulting in final diffusion distances of 69 cm and 87 cm, respectively. This demonstrates that a longer surface filtration range in the sand sample corresponds to a farther final diffusion distance of the slurry. Additionally, a larger ratio of sand pore diameter to cement particle size results in a smaller filtration coefficient and a greater slurry diffusion distance. Under a constant water–cement ratio, smaller cement particle sizes are associated with decreased slurry fluidity, which reduces the diffusion of cement slurry within the sandy medium. The research findings provide valuable insights for designing borehole spacing in grouting treatment for sandy media.

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Kostyuchenko, S. V., and N. A. Cheremisin. "Dynamic phase permeability for calculating oil locations in digital models." Oil and Gas Studies, no. 5 (October 31, 2021): 168–76. http://dx.doi.org/10.31660/0445-0108-2021-5-168-176.

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The article presents the author's formulas for calculating the residual oil saturation and the end points of relative phase permeabilities that dynamically depend on the filtration rate of reservoir fluids and capillary numbers. The dependences of the residual oil saturation and the end points of the phase permeabilities on the capillary number are investigated and described. An element of a five-point system for the development of an oil deposit case study shows the possibility of calculating oil targets using dynamic phase permeabilities. The difference between the model with static relative phase permeabilities and the model with dynamic phase permeabilities should be stressed. The text gives valuable information on the dependence of the simulation results on the parameters of the nonlinearity of the filtration processes with the traditional filtration-capacitance properties of the oil deposit model unchanged.

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Nematov, Abdugani, Mohiniso Makhmudova, Abror Nazirov, Akbar Bakhriddinov, and Zhasulan Molzhigitov. "NUMERICAL MODELING OF THE FILTRATION PROCESS IN DYNAMICALLY INTERCONNECTED MULTILAYER GAS FIELDS." Journal of Problems in Computer Science and Information Technologies 3, no. 2 (2025): 75–83. https://doi.org/10.26577/jpcsit20253206.

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This article is devoted to modeling of the gas filtration process in a dynamically interconnected multilayer porous medium. The article is devoted to modeling the process of gas filtration in a dynamically interconnected multilayer porous medium. In the article, the process of gas filtration in a heterogeneous three layer porous medium with low-permeability intermediate layers and the dynamic interaction between the layers are described by a mathematical model based on a system of differential equations of parabolic type. This mathematical model is numerically simulated using finite difference methods, i.e. explicit and implicit schemes. Since the resulting system of finite difference equations is nonlinear with respect to the pressure function, a quasilinear method was used. The dynamics of the pressure function over time was analyzed for time intervals of 360, 720 and 1080 days, and during this period the pressure distribution in the layers, the rate of pressure drop around the well and the dynamics of interlayer interaction were studied. The calculation results are presented in numerical and graphical form, which accurately reflect how the interlayer movement of the gas flow occurs. Using graphical analysis, the time step limit was determined, ensuring the stability of the computational process in the explicit scheme: a stable calculation is carried out only with a dimensionless time step Δt ≤ 1.7e-4. Also, the calculations carried out using the implicit scheme showed that this method has more stable stability compared to the explicit scheme. The results show that with a large permeability coefficient of the formation, the pressure distribution accelerates, and in the wells the pressure drop slows down. At the same time, in directly connected multilayer porous media, the permeability coefficient of the layers plays an important role. Based on the obtained results, it is possible to carry out calculations for various parameters to improve the efficiency of gas field development. It is also possible to analyze and forecast oil and gas deposits using software created on the basis of numerical models and algorithms developed in the article.

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Xia, Yongfang, Tingyong Fang, Haitao Wang, Erbao Guo, and Jinwei Ma. "Numerical investigation of low-velocity filtration combustion instability based on the initial preheating non-uniformity." E3S Web of Conferences 136 (2019): 02040. http://dx.doi.org/10.1051/e3sconf/201913602040.

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The effects of the initial preheating perturbation on the dynamical behaviors of FGC wave propagation instability for low-velocity FGC in packed bed are studied numerically. The behaviors of the flame front inclination, break, and shrinking instabilities are always observed in experiments. Based on the experimental phenomena, an initial thermal perturbation model is numerically proposed as to predict the deformation behaviors of the flame front instabilities. The typical flame shapes are obtained depending on filtration velocity, equivalence ratio, and initial preheating temperature difference. It is demonstrated that the development of flame front inclination instability is proportional to the magnitude of initial preheating perturbation. At a lower equivalence ratio, the initial thermal perturbation of 300 K leads to the evolution of flame front break. Increasing filtration velocity leads to the appearance of flame front break, due to the intensification of the hydrodynamic instability. In addition, a perculiar instability of flame front shifting is also confirmed with the initial thermal perturbation of 400 K, which results in a fuel leakage of incomplete combustion.

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Jepsen, Kasper L., Mads V. Bram, Leif Hansen, Zhenyu Yang, and Steven M. Ø. Lauridsen. "Online Backwash Optimization of Membrane Filtration for Produced Water Treatment." Membranes 9, no. 6 (2019): 68. http://dx.doi.org/10.3390/membranes9060068.

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In the offshore oil and gas sector, produced water is discharged into the sea, but increasing environmental concerns and stricter governmental regulations require new technologies to be considered. Membrane filtration is a promising technology to improve separation, but fouling of the membranes causes a significant reduction in flow capacity. To reduce fouling, optimization of the backwashing parameters is given much attention. Comprehensive and time-consuming experiments are used to model the effect of backwashing, but most methods neglect time varying features present in the offshore produced water treatment train. In this paper, a backwashing scheduling algorithm is proposed, which dynamically selects the filtration and backwashing durations to maximize the average net permeate production. The proposed algorithm is tested on a lab-scaled pilot plant, where it was able to adapt as irreversible fouling accumulated and the OiW concentration changed. The paper concludes that the removal rate of oil fouling was observed to be dependent on the rate at which the backwashing pressure could be established. As the proposed method online adapts to the current conditions, it can improve the filtration capacity compared to cases with constant backwashing and filtration durations throughout the lifetime of the facilities.

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Zhang, Shu Dong, Zhen Xing Sun, and Ning Luo. "Design and Implementation of Report Model for Base Information of Farm Produce Quantity Security Based on TelerikReporting Component." Key Engineering Materials 480-481 (June 2011): 872–76. http://dx.doi.org/10.4028/www.scientific.net/kem.480-481.872.

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We design and implement a kind of dynamic report model in Silverlight application which based on TelerikReporting component and the technology of dynamic linked library. This model supports multi-parameter choice and can format custom report dynamically based on decided condition. By custom filter, this model implements filtrating large amount of data by receiving multiple parameters with multiple values.

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Grudzien, Colin, Alberto Carrassi, and Marc Bocquet. "Chaotic dynamics and the role of covariance inflation for reduced rank Kalman filters with model error." Nonlinear Processes in Geophysics 25, no. 3 (2018): 633–48. http://dx.doi.org/10.5194/npg-25-633-2018.

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Abstract. The ensemble Kalman filter and its variants have shown to be robust for data assimilation in high dimensional geophysical models, with localization, using ensembles of extremely small size relative to the model dimension. However, a reduced rank representation of the estimated covariance leaves a large dimensional complementary subspace unfiltered. Utilizing the dynamical properties of the filtration for the backward Lyapunov vectors, this paper explores a previously unexplained mechanism, providing a novel theoretical interpretation for the role of covariance inflation in ensemble-based Kalman filters. Our derivation of the forecast error evolution describes the dynamic upwelling of the unfiltered error from outside of the span of the anomalies into the filtered subspace. Analytical results for linear systems explicitly describe the mechanism for the upwelling, and the associated recursive Riccati equation for the forecast error, while nonlinear approximations are explored numerically.

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CORNEA, O., K. A. DE REZENDE, and M. R. DA SILVEIRA. "Spectral sequences in Conley’s theory." Ergodic Theory and Dynamical Systems 30, no. 4 (2009): 1009–54. http://dx.doi.org/10.1017/s0143385709000479.

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AbstractIn this paper, we analyse the dynamics encoded in the spectral sequence (Er,dr) associated with certain Conley theory connection maps in the presence of an ‘action’ type filtration. More specifically, we present an algorithm for finding a chain complex C and its differential; the method uses a connection matrix Δ to provide a system that spans Er in terms of the original basis of C and to identify all of the differentials drp:Erp→Erp−r. In exploring the dynamical implications of a non-zero differential, we prove the existence of a path that joins the singularities generating E0p and E0p−r in the case where a direct connection by a flow line does not exist. This path is made up of juxtaposed orbits of the flow and of the reverse flow, and proves to be important in some applications.

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Dr., Nand Kumar Singh. "ACCESSING INFORMATION ON INTERNET: TOOLS AND TECHNIQUES TO BYPASS FILTRATION." INTERNATIONAL EDUCATION AND RESEARCH JOURNAL - IERJ 10, no. 12 (2024): 141–47. https://doi.org/10.5281/zenodo.15592491.

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Internet filtration is the control or suppression of what can be accessed, published, or viewed on the Internet. Filtering can be based on relatively static blacklist or be determined more dynamically based on real-time examination of the information being exchanged. There are many individuals, corporations and governments who favor Internet filtration. Internet filtration takes many forms. For example, governments may block regular e-mail services in order to compel citizens to use government e-mail that can be easily monitored, filtered, or shut down. Parents can control the content their minor children access. A university may prevent students from accessing Facebook from the library. An Internet café owner can block peer-to-peer file sharing. Authoritarian governments may censor reports on human rights abuses. People have widely varying views about the legitimacy or illegitimacy of these forms. Just as many individuals, corporations and governments see the Internet as a source of dangerous information that must be controlled; there are many individuals and groups who are working hard to ensure that the Internet, and the information on it, is freely available to everyone who wants it. There is a vast amount of energy, from commercial, non-profit and volunteer groups, devoted to creating tools and techniques to bypass Internet censorship, resulting in a number of methods to bypass Internet filters.

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Kong, Xiangwei, Bing Liu, Hongxing Xu, Jianwen Shen, and Song Li. "Optimization and Performance Evaluation of Foam Acid Systems for Plugging Removal in Low Pressure Oil and Gas Reservoirs." Processes 11, no. 3 (2023): 649. http://dx.doi.org/10.3390/pr11030649.

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Foam acidization has unique advantages such as low damage, low filtration, low friction, high efficiency, excellent retardation, and fast liquid discharge rate, which is suitable for stimulation and reconstruction of low-pressure oil and gas reservoirs that have been developed over many years. It is obtained that the main chemical components of downhole plugging materials include vegetable oil, fatty acids and their esters, silicone oil, amide polymers, and additional organic components, as well as non-organic components, elemental sulfur, ferrous sulfide, iron disulfide, silicon dioxide, mineral salts, etc. The performance of foam acid was investigated by experiments, including the effective range of action of active acids, reducing filtration, increasing temperature resistance and high-temperature stability of foam acid deep wells. The new foam acid system is developed and optimized to suitable for low-pressure deep well acidification operations. Experimental evaluation optimized the acid foaming agent and foam stabilizer and developed a new foam acid formulation with foam stability, filter loss reduction, temperature resistance, and easy backflow performance. The experimental condition is that the temperature is 90 °C, the foam quality can reach more than 70% when mixed for more than 30 s, the average half-life is 38.75 min, and the liquid separation rate is 19.90 s/mL. Its suspension is better than that of conventional hydrochloric acid, its corrosion rate is 1.872 g/m2·h, and the flowback rate of foam acid residue reaches 97%. Experimental evaluation has shown that the developed foam acid features high surface activity, stable foam, strong temperature resistance, significant speed and corrosion suppression, and excellent drainage assist performance. Dynamical simulation evaluation of reservoir core foam acidification demonstrated that the foam features long-life, strong suspension capacity, excellent rheology, low filtration, and significant acidization and plug removal effects, and can be used in stimulating the medium-deep, high-temperature, and low-pressure oil and gas reservoirs.

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Abdelraouf, M. E., A. Kandil, W. K. Zahra, and A. Elsaid. "Investigation of a MEMS resonator model with quintic nonlinearity." Journal of Physics: Conference Series 2793, no. 1 (2024): 012019. http://dx.doi.org/10.1088/1742-6596/2793/1/012019.

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Abstract Micro-electromechanical system (MEMS) resonator is decidedly utilized in a diversity of areas, including time referencing, movement sensing, signal filtration, mass detecting, and further numerous applications. The aim of this article is to use the multiple scales approach to derive analytical formulas for MEMS resonator vibration response. The properties of the complicated nonlinear system at various AC and DC voltages are investigated to be extremely well captured by modeling the dynamics of the micro-beam using multiple scales technique. The resulting Jacobian matrix eigenvalues are tested to verify the stability ranges of these solutions; hence, the jump phenomenon that occurs in experimental performance is interpreted. To study the influence of resonator characteristics on the nonlinear dynamical behavior of such a beam, several response plots are presented. Finally, a numerical solution is obtained with the fourth order Rung-Kutta method to verify the studied model’s overall behavior.

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Liu, Xu. "Optimization of sewage treatment processes: Process control based on artificial intelligence." Applied and Computational Engineering 93, no. 1 (2024): 185–90. http://dx.doi.org/10.54254/2755-2721/93/20240981.

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Abstract. The optimization of sewage treatment processes is critical for improving efficiency and reducing energy consumption. This paper explores the application of machine learning and artificial intelligence algorithms in optimizing key processes such as aeration, sedimentation, and filtration. By leveraging real-time monitoring and adaptive control, these algorithms can dynamically adjust operational parameters to enhance treatment efficiency and minimize energy usage. This study provides detailed insights into the implementation and benefits of AI-driven process control in sewage treatment, supported by case studies and data analysis. The findings indicate significant improvements in treatment performance, showcasing the transformative potential of AI in environmental engineering.

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Legowo, Ari, Zahratu H. Mohamad, and Hoon Cheol Park. "Mixed Unscented Kalman Filter and Differential Evolution for Parameter Identification." Applied Mechanics and Materials 256-259 (December 2012): 2347–53. http://dx.doi.org/10.4028/www.scientific.net/amm.256-259.2347.

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This paper presents parameters estimation techniques for coupled industrial tanks using the mixed Unscented Kalman Filter (UKF) and Differential Evolution (DE) method. UKF have known to be a typical estimation technique used to estimate the state vectors and parameters of nonlinear dynamical systems and DE is one of the most powerful stochastic real-parameter optimization algorithms. Meanwhile, liquid tank systems play important role in industrial application such as in food processing, beverage, dairy, filtration, effluent treatment, pharmaceutical industry, water purification system, industrial chemical processing and spray coating. The aim is to model the coupled tank system using mixed UKF and DE method to estimate the parameters of the tank. First, a non-linear mathematical model is developed. Next, its parameters are identified using mixed Unscented Kalman Filter (UKF) and Differential Evolution (DE) based on the experimental data. DE algorithm is integrated into the UKF algorithm to optimize the Kalman gain obtained. The obtained results demonstrate good performances.

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Shakhverdiev, A. Kh. "Effect of irreversible and unstable processes on reservoir recovery." SOCAR Proceedings, no. 1 (March 30, 2024): 87–94. http://dx.doi.org/10.5510/ogp20240100945.

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Hysteresis behaviour, during filtration, is caused by lithological differences in geo-fluid-dynamical media, geological-physical characteristics, and properties of saturating fluids. Typically, irreversible changes are caused by excessive external loads on the investigated porous media. The proposed solutions are part of a new concept of unsteady water flooding, which allows for early prediction of water breakthrough into production wells. This text discusses the negative impact of hysteresis phenomena on oil recovery and proposes a solution. To solve this task, control parameters, based on growth models and catastrophe theory, are selected so to predict local instability and irreversibility before the bifurcation moment., Herewith it is necessary to develop technologies, which can prevent irreversible changes in permeability, capillary retention of oil, oil degassing, and to consider the unstable behavior of the displacement front. Systemic optimization of oil field development aims to increase oil production, effectively mobilize, save injected and recovered water and gas. Keywords: hysteresis; instability; irreversible changes in permeability and porosity; phase transition; capillary forces; oil recovery.

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Holdich, R. G., and J. S. Boston. "Microfiltration using a dynamically formed membrane." Filtration & Separation 27, no. 3 (1990): 184–87. http://dx.doi.org/10.1016/0015-1882(90)80061-o.

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González, Enrique, Oliver Díaz, Luisa Vera, Luis E. Rodríguez-Gómez, and Juan Rodríguez-Sevilla. "Feedback control system for filtration optimisation based on a simple fouling model dynamically applied to membrane bioreactors." Journal of Membrane Science 552 (April 2018): 243–52. http://dx.doi.org/10.1016/j.memsci.2018.02.007.

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Garg, Puneet. "A Review of Podocyte Biology." American Journal of Nephrology 47, Suppl. 1 (2018): 3–13. http://dx.doi.org/10.1159/000481633.

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Background: Podocyte biology is a developing science that promises to help improve understanding of the mechanistic nature of multiple diseases associated with proteinuria. Proteinuria in nephrotic syndrome has been linked to mechanistic dysfunctions in the renal glomerulus involving the function of podocyte epithelial cells, including podocyte foot process effacement. Summary: Developments in imaging technology are improving knowledge of the detailed structure of the human renal glomerulus and cortex. Podocyte foot processes attach themselves to the glomerular capillaries at the glomerular basement membrane (GBM) forming intercellular junctions that form slit diaphragm filtration barriers that help maintain normal renal function. Damage in this area has been implicated in glomerular disease. Injured podocytes undergo effacement whereby they lose their structure and spread out, leading to a reduction in filtration barrier function. Effacement is typically associated with the presence of proteinuria in focal segmental glomerulosclerosis, minimal change disease, and diabetes. It is thought to be due to a breakdown in the actin cytoskeleton of the foot processes, complex contractile apparatuses that allow podocytes to dynamically reorganize according to changes in filtration requirements. The process of podocyte depletion correlates with the development of glomerular sclerosis and chronic kidney disease. Focal adhesion complexes that interact with the underlying GBM bind the podocytes within the glomerular structure and prevent their detachment. Key Messages: Knowledge of glomerular podocyte biology is helping to advance our understanding of the science and mechanics of the glomerular filtering process, opening the way to a variety of new potential applications for clinical targeting.

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MAHUYA, NANDA, and KUMAR SANYAL SAROJ. "Simultaneous Transport of Aqueous Solutes in Four Soils of West Bengal." Journal of Indian Chemical Society Vol. 74, Mar 1997 (1997): 183–86. https://doi.org/10.5281/zenodo.5877322.

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Department of Agricultural Chemistry and Soil Science, Bidhan Chandra Krishi Viswavidyalaya, Kalyani-741 235 Manuscript received 12 April 1994, revised 5 May 1995, accepted 27 October 1995 Coupled osmotic transport processes Involving passage of aqueous CuSO4, KH2PO4 and NH4CI in four soils of contrasting properties have been studied. The resulting reflection coefficient. mechanical filtration capacity and solute permeability for various transport systems have been related generally to the contents of day and presence or absence of micaceous illitic minerals in the clay fractions of the sons. The relevant hydrodynamic frictional coefficients have been used to describe the decoupling of solute and solvent during the given osmotic flows, leading to salt accumulation down the soil profile.

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Nikiforov, Anatoly, and Roman Sadovnikov. "Particle removal by two-phase filtration flow from a porous medium under wave action." Georesursy 23, no. 4 (2021): 58–64. http://dx.doi.org/10.18599/grs.2021.4.7.

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The paper discusses the influence of wave action on the process of detachment and removal of particles from a porous body by a two-phase filtration flow. When modeling this process, the problem of the influence of the wave field on the force under the action of which the particles are detached from the pore walls is solved. For the first time, a pore-size distribution function is used for its solution. An expression for the critical flow velocity under wave action has been obtained. Critical frequency value of wave action depends on the capillary radius and the smaller the capillary radius is, the higher frequency is needed to enhance the effect of the action. At higher frequency of oscillation the peak of maximum change in the thickness of the sedimentary layer is shifted towards the pores of small radius. To maintain the influence of the wave field on the filtration parameters of the porous medium, the wave action should be carried out at a dynamically changing frequency range to increase the coverage of the effect of as many pores as possible. It is shown that particle removal during wave action increases due to the action of inertial forces, which reduce the influence of forces holding the particles on the pore surface.

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Schmid, Martin G., Karin Schreiner, Daniela Reisinger, and Gerald Gübitz. "Fast chiral separation by ligand-exchange HPLC using a dynamically coated monolithic column." Journal of Separation Science 29, no. 10 (2006): 1470–75. http://dx.doi.org/10.1002/jssc.200600102.

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Anzian, Kouadio Fabrice, Mykhailo Illich Fyk, Al-Sultan Mohammed Bassam, Mohammed Khaleel Abbood, Haval Mohammed Abdullatif, and Yevhen Alexender Shapchenko. "Analysis of Dynamical Heat Conductivity of the Reservoir and Fluid Evacuation Zone on the Gas Condensate Well Flow Rate." J — Multidisciplinary Scientific Journal 3, no. 1 (2020): 124–37. http://dx.doi.org/10.3390/j3010011.

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This study shows that the thermal conductivity of the rock borehole adjacent to the wells varies depending on the operation of the well. This is due to the fact that the actual temperature and temperature difference affect the humidity and other thermal properties of the rocks, which in turn affect the heat transfer coefficient across the section between the moving gas and the rocks. The static temperature field of primitive geothermal gradients acquires changes in a dynamic form. Theoretical consideration of changes in the thermal conductivity of rocks near the face and the wells is proposed to improve the prediction of gas condensate wells production. The result is achieved by introducing the specified equations of the thermal energy balance in the radial filtration and lifting of well products, which contain the coefficients of heat exchange and throttling. The refinement bias estimation of the 10%–15% level of gas condensate well extraction is shown using proposed methodological approach to relatively well-known (traditional in the field development practice) methods for estimating the extraction of a “medium well” from a particular oil and gas field evaluation. The results of this work demonstrate important scientific, applied, educational and methodological significance of using the methodology presented by the authors.

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Dali, Ioseliani, Balarjishvili Gulnara, Kalabegashvili Neli, Nonikashvili Nino, and Samkharadze Liana. "Zinc ions adsorption under dynamic conditions with the use of Georgian minerals." World Journal of Advanced Research and Reviews 24, no. 3 (2024): 1914–18. https://doi.org/10.5281/zenodo.15201763.

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The article deals with the studies of chemically active natural minerals of Georgia: travertine and limestone under dynamic conditions, which have been explored for the first time as adsorbents in the process of aqueous solutions’ purification from zinc ions. Tests have been conducted in filtration columns at different hydraulic loads until the ratio of zinc concentration in sewage waters Ck to initial zinc concentration Co (Ck/Co) reached the value of 0,95. The dependence of zinc adsorption degree on aqueous solution delivery rate, time duration of adsorbent operation and dependence of zinc ions adsorption rate constant on contact time have been studied. Zinc adsorption percentage, with initial solution delivery at the rate of 0,3 l/h, was equal to 82% and 70% for limestone and travertine, respectively. The best outcome during column tests has been reached in case of limestone, for which the zinc adsorption percentage comprised 80% with contact time duration equal to 5 hours.  

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Virbulis, J., J. Telicko, A. Sabanskis, D. D. Vidulejs, and A. Jakovics. "Numerical Model and System for Prediction and Reduction of Indoor Infection Risk." Latvian Journal of Physics and Technical Sciences 60, s6 (2023): 5–19. http://dx.doi.org/10.2478/lpts-2023-0041.

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Abstract The developed numerical model assesses the risk of a COVID-19 infection in a room based on the measurements of temperature, relative humidity, CO2 and particle concentration, as well as the number of people and occurrences of speech, coughing, and sneezing obtained through a low-cost sensor system. As the model operates faster than real-time, it can dynamically inform the persons in the room or building management system about the predicted risk level. When the infection risk is high, the model can activate an air purifier equipped with filtration and UV-C disinfection. This solution improves energy efficiency by reducing the ventilation intensity required during colder seasons to maintain the same safety level and activating the purifier only when the predicted infection risk surpasses a specified threshold.

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Lima, Wagner Ferreira, and Rudolf Huebner. "Optimization of Air Distribution in a Baghouse Filter Using Computational Fluid Dynamics." Engineering, Technology & Applied Science Research 9, no. 4 (2019): 4452–56. https://doi.org/10.5281/zenodo.3370638.

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Baghouse filters are used to reduce the emission of pollutants in the atmosphere. With the stricter environmental regulations and the need to avoid the emission of pollutants into the atmosphere, the demand for better results in terms of collection efficiency and filtration rises. A good performance of a baghouse filter is closely linked to the correct flow distribution inside it, whether in the hopper or in the bags. Other important variables for good performance are internal speed, filtration rate (RAP), pressure drop, cleaning efficiency, etc. The upgrading of existing bag filters to current standards is a major challenge for the industry, generally due to, among other factors, emission regulations and common physical and dimensional constraints of the existing equipment. Computational Fluid Dynamics analysis (CFD) can help deal with this problem because it makes possible to perform several analyzes at a lower cost and with great result accuracy when compared with the traditional approaches. In this work, the analysis of an existing bag filter, which presents serious problems of premature discharging of components due to nonuniformity in the internal distribution of the flow, is performed. This analysis has several steps, among them, documentation survey, field survey, flow and pressure drop measurements (pressure differential between the clean side and the dirty side of the filter) with the aid of CFD, with the objective to raise pressure and velocity and to identify possible dimensional changes to improve flow uniformity.

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Sanders, Steven L., Krassimira A. Garbett, and P. Anthony Weil. "Molecular Characterization of Saccharomyces cerevisiae TFIID." Molecular and Cellular Biology 22, no. 16 (2002): 6000–6013. http://dx.doi.org/10.1128/mcb.22.16.6000-6013.2002.

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ABSTRACT We previously defined Saccharomyces cerevisiae TFIID as a 15-subunit complex comprised of the TATA binding protein (TBP) and 14 distinct TBP-associated factors (TAFs). In this report we give a detailed biochemical characterization of this general transcription factor. We have shown that yeast TFIID efficiently mediates both basal and activator-dependent transcription in vitro and displays TATA box binding activity that is functionally distinct from that of TBP. Analyses of the stoichiometry of TFIID subunits indicated that several TAFs are present at more than 1 copy per TFIID complex. This conclusion was further supported by coimmunoprecipitation experiments with a systematic family of (pseudo)diploid yeast strains that expressed epitope-tagged and untagged alleles of the genes encoding TFIID subunits. Based on these data, we calculated a native molecular mass for monomeric TFIID. Purified TFIID behaved in a fashion consistent with this calculated molecular mass in both gel filtration and rate-zonal sedimentation experiments. Quite surprisingly, although the TAF subunits of TFIID cofractionated as a single complex, TBP did not comigrate with the TAFs during either gel filtration chromatography or rate-zonal sedimentation, suggesting that TBP has the ability to dynamically associate with the TFIID TAFs. The results of direct biochemical exchange experiments confirmed this hypothesis. Together, our results represent a concise molecular characterization of the general transcription factor TFIID from S. cerevisiae.

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Shi, Ruheng, Yuanlong Zhang, Tiankuang Zhou, and Lingjie Kong. "HiLo Based Line Scanning Temporal Focusing Microscopy for High-Speed, Deep Tissue Imaging." Membranes 11, no. 8 (2021): 634. http://dx.doi.org/10.3390/membranes11080634.

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High-speed, optical-sectioning imaging is highly desired in biomedical studies, as most bio-structures and bio-dynamics are in three-dimensions. Compared to point-scanning techniques, line scanning temporal focusing microscopy (LSTFM) is a promising method that can achieve high temporal resolution while maintaining a deep penetration depth. However, the contrast and axial confinement would still be deteriorated in scattering tissue imaging. Here, we propose a HiLo-based LSTFM, utilizing structured illumination to inhibit the fluorescence background and, thus, enhance the image contrast and axial confinement in deep imaging. We demonstrate the superiority of our method by performing volumetric imaging of neurons and dynamical imaging of microglia in mouse brains in vivo.

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Sobolev, V. "MATHEMATICAL MODEL OF COAL AND GAS EMISSION." Sciences of Europe, no. 114 (April 10, 2023): 102–9. https://doi.org/10.5281/zenodo.7811574.

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A physico mathematical model of the process of coal and gas ejection is proposed, which is based on the gas filtration equation. The model takes into account the stress state of the coal mass, but does not take into account the properties of outburst hazardous coals: electret potential, the degree of chemical activity, the role of the additional energy reserve of the coal microstructure, and active gas generation directly in the in the process of ejection of the hive into the mined-out space. It is shown that the absolute values of the coal emission hazard criteria are not known.

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Schiller, Alicia M., Peter R. Pellegrino, and Irving H. Zucker. "Renal nerves dynamically regulate renal blood flow in conscious, healthy rabbits." American Journal of Physiology-Regulatory, Integrative and Comparative Physiology 310, no. 2 (2016): R156—R166. http://dx.doi.org/10.1152/ajpregu.00147.2015.

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Despite significant clinical interest in renal denervation as a therapy, the role of the renal nerves in the physiological regulation of renal blood flow (RBF) remains debated. We hypothesized that the renal nerves physiologically regulate beat-to-beat RBF variability (RBFV). This was tested in chronically instrumented, healthy rabbits that underwent either bilateral surgical renal denervation (DDNx) or a sham denervation procedure (INV). Artifact-free segments of RBF and arterial pressure (AP) from calmly resting, conscious rabbits were used to extract RBFV and AP variability for time-domain, frequency-domain, and nonlinear analysis. Whereas steady-state measures of RBF, AP, and heart rate did not statistically differ between groups, DDNx rabbits had greater RBFV than INV rabbits. AP-RBF transfer function analysis showed greater admittance gain in DDNx rabbits than in INV rabbits, particularly in the low-frequency (LF) range where systemic sympathetic vasomotion gives rise to AP oscillations. In the LF range, INV rabbits exhibited a negative AP-RBF phase shift and low coherence, consistent with the presence of an active control system. Neither of these features were present in the LF range of DDNx rabbits, which showed no phase shift and high coherence, consistent with a passive, Ohm's law pressure-flow relationship. Renal denervation did not significantly affect nonlinear RBFV measures of chaos, self-affinity, or complexity, nor did it significantly affect glomerular filtration rate or extracellular fluid volume. Cumulatively, these data suggest that the renal nerves mediate LF renal sympathetic vasomotion, which buffers RBF from LF AP oscillations in conscious, healthy rabbits.

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Werner, Roman Alejandro, Alexander Michael Hummel, Dominik Ulrich Geier, and Thomas Becker. "Investigations on Backflush Cleaning of Spent Grain-Contaminated Filter Cloths Using Continuous and Pulsed Jets." Foods 11, no. 12 (2022): 1757. http://dx.doi.org/10.3390/foods11121757.

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This study investigated the continuous and pulsed backflush cleaning of woven fabrics that act as filter media in the food and beverage industry. Especially in breweries, they are commonly used in mash filters to separate solid spent grains from liquid wort. After filtration, the removal of such cereal residues via self-discharge is necessary. However, this filter cake discharge is typically incomplete, and various spots remain contaminated. In addition to the reduced filter performance of subsequent batches, cross-contamination risk increases significantly. A reproducible contamination method focusing on the use case of a mash filter was developed for this study. Additionally, a residue analysis based on microscopical image processing helped to assess cleaning efficiency. The experimental part compared two backflushing procedures for mash filters and demonstrated fluid dynamical, procedural, and economic differences in cleaning. Specifically, pulsed jets show higher efficiency in reaching cleanliness faster, with fewer cleaning agents and less time. According to the experimental results, the fluid flow conditions depended highly on cloth geometry and mesh sizes. Larger mesh sizes significantly favored the cloth’s cleanability as a larger backflush volume can reach contamination. With these results, cloth cleaning can be improved, enabling the realization of demand-oriented cleaning concepts.

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Matcharashvili, T., T. Chelidze, and Z. Javakhishvili. "Nonlinear analysis of magnitude and interevent time interval sequences for earthquakes of the Caucasian region." Nonlinear Processes in Geophysics 7, no. 1/2 (2000): 9–20. http://dx.doi.org/10.5194/npg-7-9-2000.

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Abstract. It is well known that lithospheric seismic processes are characterized by self-similarity or scale invariance in terms of earthquake-size, time, space and space-time distributions, although precise details of underlying dynamics are not clear. In this study we apply nonlinear dynamics theory tools, such as a correlation dimension, "surrogate" data analysis and positive Lyapunov exponent calculation, to investigate dynamical characteristics of seismicity in the Caucasian region. Interevent time intervals and magnitude sequences are considered for different area and magnitude windows. We find significant evidence of a low dimensional nonlinear structure of earthquake time distribution, obtained by consideration of time interval sequences between all events encountered, above some threshold magnitude, in the original catalogue. However nonlinear structure is absent in artificially generated sequences of time intervals between independent events as well as time intervals between aftershocks. It seems that this kind of filtration of the original catalogue destroys the existing temporal structure of considered lithospheric processes. Unlike artificial inter-aftershock time interval sequences, obtained by removing independent events from the original series, the time interval sequence between the Racha earthquake aftershocks reveals clear evidence of nonlinear structure. Earthquake magnitude dynamics. for all considered regions and magnitude windows, reveal high dimensional nonlinearity.

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He, Yan, Colleen Isele, Weiying Hou, and Margaret Ruesch. "Rapid analysis of charge variants of monoclonal antibodies with capillary zone electrophoresis in dynamically coated fused-silica capillary." Journal of Separation Science 34, no. 5 (2011): 548–55. http://dx.doi.org/10.1002/jssc.201000719.

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