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Academic literature on the topic 'Keels Mathematical models'
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Journal articles on the topic "Keels Mathematical models"
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Kuzenov, Victor V., Sergei V. Ryzhkov, and Aleksey Yu Varaksin. "Calculation of Heat Transfer and Drag Coefficients for Aircraft Geometric Models." Applied Sciences 12, no. 21 (October 30, 2022): 11011. http://dx.doi.org/10.3390/app122111011.
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A numerical model to calculate the heat transfer and resistance coefficients near the bodies of complex geometric shapes moving at high velocity is formulated. The processes of heat and mass transfer and flow around aircraft elements are considered. An algorithm for calculating heat fluxes and the heat transfer coefficient is proposed. The developed numerical technique can give an idea of the essential features of the flow, heat transfer at the end keels of the wings, and integral layouts of high-speed aircraft. An approximate mathematical model for calculating the heat transfer processes and resistance coefficients near the bodies of complex geometric shapes moving at high speed in the Earth’s atmosphere is formulated. The calculated results for convective heat transfer and friction coefficients for the X-33 and X-43 vehicles are obtained.
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Flay, R. G. J., and D. C. McMillan. "A Wind Tunnel Investigation of Yacht Hydrodynamic Side Force and Drag." Journal of Ship Research 37, no. 04 (December 1, 1993): 331–41. http://dx.doi.org/10.5957/jsr.1993.37.4.331.
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Measurements of side force and drag on models of various yacht hull/keel combinations in a wind tunnel are presented. The accuracy of the resulting side force measurements was verified by comparing results for two of the standard configurations with towing tank data from geometrically identical models at the same Reynolds number. The agreement between the results was excellent. Measurements from the models were then compared with the predictions of five different methods for a range of keel to canoe body draft ratios from 2.27 to 5.56. It was found that there was considerable variation in the predictions of the various methods, but that the wind tunnel results fell at the center of the range of predicted values. Effective aspect ratios were estimated from induced drag measurements and were found to be in excess of twice the geometric aspect ratio of the keels, reducing as heel increased to 30 deg.
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Ovaskainen, Otso, Panu Somervuo, and Dmitri Finkelshtein. "A general mathematical method for predicting spatio-temporal correlations emerging from agent-based models." Journal of The Royal Society Interface 17, no. 171 (October 2020): 20200655. http://dx.doi.org/10.1098/rsif.2020.0655.
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Agent-based models are used to study complex phenomena in many fields of science. While simulating agent-based models is often straightforward, predicting their behaviour mathematically has remained a key challenge. Recently developed mathematical methods allow the prediction of the emerging spatial patterns for a general class of agent-based models, whereas the prediction of spatio-temporal pattern has been thus far achieved only for special cases. We present a general and mathematically rigorous methodology that allows deriving the spatio-temporal correlation structure for a general class of individual-based models. To do so, we define an auxiliary model, in which each agent type of the primary model expands to three types, called the original, the past and the new agents. In this way, the auxiliary model keeps track of both the initial and current state of the primary model, and hence the spatio-temporal correlations of the primary model can be derived from the spatial correlations of the auxiliary model. We illustrate the agreement between analytical predictions and agent-based simulations using two example models from theoretical ecology. In particular, we show that the methodology is able to correctly predict the dynamical behaviour of a host–parasite model that shows spatially localized oscillations.
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Reinharz, Vladimir, Alexander Churkin, Harel Dahari, and Danny Barash. "Advances in Parameter Estimation and Learning from Data for Mathematical Models of Hepatitis C Viral Kinetics." Mathematics 10, no. 12 (June 19, 2022): 2136. http://dx.doi.org/10.3390/math10122136.
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Mathematical models, some of which incorporate both intracellular and extracellular hepatitis C viral kinetics, have been advanced in recent years for studying HCV–host dynamics, antivirals mode of action, and their efficacy. The standard ordinary differential equation (ODE) hepatitis C virus (HCV) kinetic model keeps track of uninfected cells, infected cells, and free virus. In multiscale models, a fourth partial differential equation (PDE) accounts for the intracellular viral RNA (vRNA) kinetics in an infected cell. The PDE multiscale model is substantially more difficult to solve compared to the standard ODE model, with governing differential equations that are stiff. In previous contributions, we developed and implemented stable and efficient numerical methods for the multiscale model for both the solution of the model equations and parameter estimation. In this contribution, we perform sensitivity analysis on model parameters to gain insight into important properties and to ensure our numerical methods can be safely used for HCV viral dynamic simulations. Furthermore, we generate in-silico patients using the multiscale models to perform machine learning from the data, which enables us to remove HCV measurements on certain days and still be able to estimate meaningful observations with a sufficiently small error.
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Calabrese, Peter P., Richard T. Durrett, and Charles F. Aquadro. "Dynamics of Microsatellite Divergence Under Stepwise Mutation and Proportional Slippage/Point Mutation Models." Genetics 159, no. 2 (October 1, 2001): 839–52. http://dx.doi.org/10.1093/genetics/159.2.839.
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Abstract Recently Kruglyak, Durrett, Schug, and Aquadro showed that microsatellite equilibrium distributions can result from a balance between polymerase slippage and point mutations. Here, we introduce an elaboration of their model that keeps track of all parts of a perfect repeat and a simplification that ignores point mutations. We develop a detailed mathematical theory for these models that exhibits properties of microsatellite distributions, such as positive skewness of allele lengths, that are consistent with data but are inconsistent with the predictions of the stepwise mutation model. We use our theoretical results to analyze the successes and failures of the genetic distances (δμ)2 and DSW when used to date four divergences: African vs. non-African human populations, humans vs. chimpanzees, Drosophila melanogaster vs. D. simulans, and sheep vs. cattle. The influence of point mutations explains some of the problems with the last two examples, as does the fact that these genetic distances have large stochastic variance. However, we find that these two features are not enough to explain the problems of dating the human-chimpanzee split. One possible explanation of this phenomenon is that long microsatellites have a mutational bias that favors contractions over expansions.
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Barclay, Pat. "Reciprocity creates a stake in one's partner, or why you should cooperate even when anonymous." Proceedings of the Royal Society B: Biological Sciences 287, no. 1929 (June 17, 2020): 20200819. http://dx.doi.org/10.1098/rspb.2020.0819.
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Why do we care so much for friends, even making sacrifices for them they cannot repay or never know about? When organisms engage in reciprocity, they have a stake in their partner's survival and wellbeing so the reciprocal relationship can persist. This stake (aka fitness interdependence) makes organisms willing to help beyond the existing reciprocal arrangement (e.g. anonymously). I demonstrate this with two mathematical models in which organisms play a prisoner's dilemma, and where helping keeps their partner alive and well. Both models shows that reciprocity creates a stake in partners' welfare: those who help a cooperative partner––even when anonymous––do better than those who do not, because they keep that cooperative partner in good enough condition to continue the reciprocal relationship. ‘Machiavellian' cooperators, who defect when anonymous, do worse because their partners become incapacitated. This work highlights the fact that reciprocity and stake are not separate evolutionary processes, but are inherently linked.
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Cortés, J. C., J. V. Romero, M. D. Roselló, Francisco-J. Santonja, and Rafael-J. Villanueva. "Solving Continuous Models with Dependent Uncertainty: A Computational Approach." Abstract and Applied Analysis 2013 (2013): 1–10. http://dx.doi.org/10.1155/2013/983839.
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This paper presents a computational study on a quasi-Galerkin projection-based method to deal with a class of systems of random ordinary differential equations (r.o.d.e.’s) which is assumed to depend on a finite number of random variables (r.v.’s). This class of systems of r.o.d.e.’s appears in different areas, particularly in epidemiology modelling. In contrast with the other available Galerkin-based techniques, such as the generalized Polynomial Chaos, the proposed method expands the solution directly in terms of the random inputs rather than auxiliary r.v.’s. Theoretically, Galerkin projection-based methods take advantage of orthogonality with the aim of simplifying the involved computations when solving r.o.d.e.’s, which means to compute both the solution and its main statistical functions such as the expectation and the standard deviation. This approach requires the previous determination of an orthonormal basis which, in practice, could become computationally burden and, as a consequence, could ruin the method. Motivated by this fact, we present a technique to deal with r.o.d.e.’s that avoids constructing an orthogonal basis and keeps computationally competitive even assuming statistical dependence among the random input parameters. Through a wide range of examples, including a classical epidemiologic model, we show the ability of the method to solve r.o.d.e.’s.
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Willis, David H., and B. G. Krishnappan. "Numerical modelling of cohesive sediment transport in rivers." Canadian Journal of Civil Engineering 31, no. 5 (October 1, 2004): 749–58. http://dx.doi.org/10.1139/l04-043.
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Techniques available to practicing civil engineers for numerically modelling cohesive mud in rivers and estuaries are reviewed. Coupled models, treating water and sediment as a single process, remain research tools but are usually not three-dimensional. The decoupled approach, which separates water and sediment computations at each model time step, allows the three-dimensional representation of at least the bed and the use of well-proven, commercial, numerical, hydrodynamic models. Most hydrodynamic models compute sediment transport in suspension but may require modification of the dispersion coefficients to account for the presence of sediment. The sediment model deals with the sediment exchange between the water column and the bed using existing equations for erosion and deposition. Both equations relate the sediment exchange rates to the shear stress in the bottom boundary layer. In real rivers and estuaries, a depositional bed layer is associated with a period of low flow and shear, at slack tide for example, whereas in numerical models a layer is defined by the model time step. The sediment model keeps track of the uppermost layers at each model grid point, including consolidation and strengthening. Although numerical hydrodynamic models are based strongly on physics, sediment models are only numerical frameworks for interpolating and extrapolating full-scale field or laboratory measurements of "hydraulic sediment parameters," such as threshold shear stresses. Calibration and verification of models against measurement are therefore of prime importance.Key words: cohesive sediment, mathematical modelling, settling velocity, erosion, resuspension, deposition, fluid mud, bed layers.
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Bhar, Aliyu Kisabo. "Design & implementation of a personal Cash flow program using Microsoft Excel®." Global Journal of Business, Economics and Management: Current Issues 9, no. 1 (March 31, 2019): 29–40. http://dx.doi.org/10.18844/gjbem.v9i1.4032.
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A program that keeps record of personal financial details and also mines the data for insightful analysis is definitely a good day-to-day companion. In this generation, such tool is inevitable in the financial dealings of any individual or company. In this study, we developed an easy but highly intuitive method of tracking financial dealings, budgeting and forecasting personal financial expenditure using Microsoft Excel®. Among others, this program can aid in implementing financial strategies designed to meet specific goals based on percentages in specific categories. From such data, mathematical models were also developed and prediction was made. With little or no modification, the Cash flow program presented in this study could be adopted for use in any type of the organisation where money or any article of business comes in and goes out in a particular cycle (typical of which is monthly). Results and method presented here proved to be effective. Keywords: Cash flow, Microsoft Excel, budget, forecast.
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Mao, Xinna, Zhao Guoxi, Mohammad Fallah, and S. A. Edalatpanah. "A Neutrosophic-Based Approach in Data Envelopment Analysis with Undesirable Outputs." Mathematical Problems in Engineering 2020 (July 13, 2020): 1–8. http://dx.doi.org/10.1155/2020/7626102.
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Data Envelopment Analysis is one of the paramount mathematical methods to compute the general performance of organizations, which utilizes similar sources to produce similar outputs. Original DEA schemes involve crisp information of inputs and outputs that may not always be accessible in real-world applications. Nevertheless, in some cases, the values of the data are information with indeterminacy, impreciseness, vagueness, inconsistent, and incompleteness. Furthermore, the conventional DEA models have been originally formulated solely for desirable outputs. However, undesirable outputs may additionally be present in the manufacturing system, which wishes to be minimized. To tackle the mentioned issues and in order to obtain a reliable measurement that keeps original advantage of DEA and considers the influence of undesirable factors under the indeterminate environments, this paper presents a neutrosophic DEA model with undesirable outputs. The recommended technique is based on the aggregation operator and has a simple construction. Finally, an example is given to illustrate the new model and ranking approach in details.
Books on the topic "Keels Mathematical models"
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Heinonen, Jaakko. Constitutive modeling of ice rubble in first-year ridge keel. Espoo [Finland]: VTT Technical Research Centre of Finland, 2004.
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1900-, Powers Robert B., and Langley Research Center, eds. Optimization of payload mass placement in a dual keel space station. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1987.
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Trappenberg, Thomas P. Fundamentals of Machine Learning. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198828044.001.0001.
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Machine learning is exploding, both in research and for industrial applications. This book aims to be a brief introduction to this area given the importance of this topic in many disciplines, from sciences to engineering, and even for its broader impact on our society. This book tries to contribute with a style that keeps a balance between brevity of explanations, the rigor of mathematical arguments, and outlining principle ideas. At the same time, this book tries to give some comprehensive overview of a variety of methods to see their relation on specialization within this area. This includes some introduction to Bayesian approaches to modeling as well as deep learning. Writing small programs to apply machine learning techniques is made easy today by the availability of high-level programming systems. This book offers examples in Python with the machine learning libraries sklearn and Keras. The first four chapters concentrate largely on the practical side of applying machine learning techniques. The book then discusses more fundamental concepts and includes their formulation in a probabilistic context. This is followed by chapters on advanced models, that of recurrent neural networks and that of reinforcement learning. The book closes with a brief discussion on the impact of machine learning and AI on our society.
Conference papers on the topic "Keels Mathematical models"
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Fathi, Fahd, Christiaan Klaij, and Arjen Koop. "Predicting Loads on a LNG Carrier With CFD." In ASME 2010 29th International Conference on Ocean, Offshore and Arctic Engineering. ASMEDC, 2010. http://dx.doi.org/10.1115/omae2010-20122.
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The Current Affairs Joint Industry Project was initiated to develop the understanding and tools for the assessment of current loads on offshore structures. CFD is one of these tools requiring a good understanding of the underlying physical and mathematical models. In order to assess its suitability for the prediction of current loads on monohulls, the flow around a LNG carrier for which model scale data is available was considered. The LNG carrier, including bilge–keels and rudder, was towed at scale 1/50 in Marin’s shallow water basin during the HAWAI JIP, for flow angles between 0 and 180 degrees. The measurements were shared with the Current Affairs JIP, for which the participants were invited to perform CFD computations reproducing the model test results. A number of these simulations are presented in this paper. The analysis of the results includes discussion on the grid generation as well as the numerical and physical parameters of the simulation. The comparison between experiments and computations shows that CFD can provide good qualitative predictions for the variation of force coefficients with inflow angle. The origin of the result variability between the participants is discussed and attention is drawn to the different factors influencing the quality of the simulation.
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Kuhn, John C., and Carl A. Scragg. "Analysis of Lift and Drag on a Surface-Piercing Foil." In SNAME 11th Chesapeake Sailing Yacht Symposium. SNAME, 1993. http://dx.doi.org/10.5957/csys-1993-004.
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Hydrofoils operating at shallow depths ( e.g. keels and rudders) will be affected by the interactions between the lifting surfaces and the free surface. This problem is approached computationally and experimentally by examining the simple case of a surface-piercing hydrofoil operating at steady forward speeds and small angles of attack. It is shown that there are two contributions to the lift and drag on the foil, one due to the vorticity shed into the wake and another due to the port/starboard asymmetry of the radiated wave field. The mathematical problem is specified as a linearized boundary-value problem to be solved numerically. The two contributions to the lift and drag on the foil are determined independently from far-field momentum integrations. Calculations of the lift and drag on surface-piercing foils with variations in aspect ratio and heel angle are compared to experimental results. Comparisons of the predicted and measured radiated wave fields generated by the foils are also presented. It is found that the efficiency of the foil is reduced by the presence of the free surface and that the use of simple reflection-plane models can lead to significant errors.
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Shi, Zhanqun, Yibo Fan, Fengshou Gu, Abdul-Hannan Ali, and Andrew Ball. "Neural Network Modelling Applied for Model-Based Fault Detection." In ASME 7th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2004. http://dx.doi.org/10.1115/esda2004-58197.
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This paper aims to combine neural network modelling with model-based fault detection. An accurate and robust model is critical in model-based fault detection. However, the development of such a model is the most difficult task especially when a non-linear system is involved. The problem comes not only from the lack of concerned information about model parameters, but also from the inevitable linearization. In order to solve this problem, neural networks are introduced in this paper. Instead of using conventional neural network modelling, the neural network is only used to approximate the non-linear part of the system, leaving the linear part to be represented by a mathematical model. This new scheme of integration between neural network and mathematical model (NNMM) allows the compensation of the error from conventional modelling methods. Simultaneously, it keeps the residual signatures physically interpretable.
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Bogoi, Alina, Jean Marie Seynhaeve, Radu D. Rugescu, Oliviu Sugar, and Michel Giot. "Front Wave Prediction in Water Hammer Phenomena Involving Two-Phase Flows." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-65838.
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A genuine mathematical model for one dimensional, unsteady, two phase (liquid-gas) flows is presented that intends to solve the complex problem of two phase behavior of fluids. The mechanism of the model describes the fluid flow characteristics of the mixture, supposing that the conditions for homogeneous vaporization are fulfilled and the condensate fraction of the composite fluid keeps constant. In particular, the equation of momentum conservation for the gas phase is derived from the Voinov equation. For its domain of validity (bubbly flows), the model is of hyperbolic type and can be written in the conservative form. The numerical results obtained for the water hammer phenomena show that the present work is able to supply accurate results, at least of the same degree of confidence as the results provided by an ordinary, commercial CFD code, still with a considerable reduction in computational time.
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Potkonjak, Veljko, Kosta Jovanovic, Bratislav Svetozarevic, Owen Holland, and Dusan Mikicic. "Modeling and Control of a Compliantly Engineered Anthropomimetic Robot in Contact Tasks." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-47256.
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This paper attempts to develop a dynamic model and design a controller for a fully anthropomorphic, compliantly driven robot. To imitate muscles, the robot’s joints are actuated by DC motors antagonistically coupled through tendons. To ensure safe interaction with humans in a human-centered environment, the robot exploits passive mechanical compliance, in the form of elastic springs in the tendons. To enable simulation, the paper first derives a mathematical model of the robot’s dynamics, starting from the “Flier” approach. The control of the antagonistic drives is based on a biologically inspired puller-and-follower concept where at any instant the puller is responsible for the joint motion while the follower keeps the inactive tendon from slackening. In designing the controller, it was first necessary to use the advanced theory of nonlinear control for dealing with individual joints, and then to apply the theory of robustness in order to extend control to the multi-jointed robot body.
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Pritrsky, Jozef, Miroslav Brodnan, and Vladimir Necas. "Conditional Release of Steel From Decommissioning in a Form of Reinforced Concrete." In ASME 2011 14th International Conference on Environmental Remediation and Radioactive Waste Management. ASMEDC, 2011. http://dx.doi.org/10.1115/icem2011-59058.
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The paper deals with the conditional release of low-level radioactive steel from decommissioning in a form of reinforced concrete. The main goal was to determine limits for radionuclides concentration and calculate the annual dose for a member of a critical group of public, which should not exceed 10 μSv/year (according to IAEA Safety Guide RS-G-1.7). Corrosion is the principle mechanism of radionuclides release in this case; therefore effort was devoted to assess the time-dependent rate of steel reinforcement corrosion. It was assumed, that concrete is initially highly alkaline (with pH of 12 to 13) because of hydration products such as calcium hydroxide, which keeps the steel surface passive and protected from corrosion. However, carbonic acid resulting from carbon dioxide and water in the atmosphere can react with these products to produce calcium carbonate. This process is referred to as a “carbonation”, and leads after a period of time to significant reduction of the alkalinity (to pH as low as 8.5) followed by destruction of passive layer and starting corrosion of the embedded steel. The analytical principles and a set of input data have been implemented into a mathematical model developed by means of GoldSim software. The paper presents the results of mathematical simulation of corrosion process, which are compared with real measured values.
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Rogers, Frederick, Mahmoud Haddara, and David Molyneux. "Dynamic Bending Moment Identification Using Neural Networks." In SNAME 25th American Towing Tank Conference. SNAME, 1998. http://dx.doi.org/10.5957/attc-1998-022.
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An alternative method for the prediction of a ship's dynamic bending stresses at sea is presented and examined in this paper. The method uses a ship's heave and pitch motion to determine the dynamic bending moment at a point along the ship's length. This can be combined with the known still water bending moment, and known ship sectional properties to determine deck and keel stresses. A combination of mathematical modeling, the random decrement, and neural network techniques have been used to determine the relationship between ship motion and bending moment, without any prior knowledge of the wave excitation level To test this method, two sets of model experiments have been used. One set from a Great Lakes bulk carrier, the other from a Canadian patrol frigate. In each experiment, the mean and variance of the bending moment have been successfully predicted, demonstrating this method as a valid approach.
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Adamczyk, Peter G., Michelle Roland, and Michael E. Hahn. "Parametric Evaluation of Hindfoot and Forefoot Properties and Their Effect on the Angular Stiffness of Prosthetic Feet." In ASME 2012 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/sbc2012-80839.
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Prosthetic foot stiffness has been recognized as an important factor in optimizing the walking performance of amputees [1–3]. Commercial feet are available in a range of stiffness categories and geometries. The stiffness of linear displacements of the hindfoot and forefoot for several commercially available feet have been reported to be within a range of 27–68 N/mm [4] and 28–76 N/mm [5], respectively, but these values are most relevant only to the earliest and latest portions of stance phase, when linear compression or rebound naturally occur. In contrast, mid-stance kinetics are more related to the angular stiffness of the foot, which describes the ankle torque produced by angular progression of the lower limb over the foot during this phase. Little data is available regarding the angular stiffness of any commercially available feet. The variety of geometries between manufacturers and models of prosthetic feet makes a direct calculation of effective angular stiffness challenging due to changes in moment arms based on loading condition, intricacies of deformation mechanics of the structural components, and mechanical interaction between hindfoot and forefoot components. Thus, modeling the interaction between hindfoot stiffness, forefoot stiffness, and keel geometries and their combined effect on the angular stiffness of the foot may be a useful tool for correlating functional outcomes with stiffness characteristics of various feet. To understand how each of these factors affects angular stiffness, we developed a foot that can parametrically adjust each of these factors independently. The objective of this study was to mathematically model, design, and experimentally validate a prosthetic foot that has independent hindfoot and forefoot components, allowing for parametric adjustment of stiffness characteristics and keel geometry in future studies of amputee gait.
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Marcílio M. dos Santos, Ângelo, Vanessa Siqueira de C. Teixeira, Ricardo Parcelle C. Pacífico, Leonardo P. S. Silva, Marcos Vinícius S. França, and Adson Bezerra Moreira. "Power Control for a Wind Power Generation from SCIG and Harmonic Current Filtering." In Congresso Brasileiro de Automática - 2020. sbabra, 2020. http://dx.doi.org/10.48011/asba.v2i1.1051.
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The main contribution of this paper is to present a proposal for the development of an active power filter (APF) for a wind power generation system connected to the electric grid, using the three-phase induction generator with squirrel cage rotor (SCIG). In the induction generator side converter (IGSC) the power control is done by the magnetizing current and electromagnetic torque in coordinates dq. Thus, the wind system controls the active and reactive powers, as well as performing the active filtering function in the grid currents. Harmonic compensation is performed by an algorithm applied to the grid side converter (GSC). That technique improves the power quality and keeps the voltage at DC bus. The studied system was mathematically modeled and simulated using the Matlab / Simulink software. When SCIG provides 2 kW of active power, the THD from 18,94% (without APF) was reduced to 3,93% for GSC operating with APF function.
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Dzisi, Smile, Mildred Simiyu, Franklin Dodzi Odoom, Pamela Chirwa, Elaine Nyakako, and Nnamdi Onuigbo. "Transition into STEM-TVET Related Jobs and Opportunities for Girls and Women in Africa." In Tenth Pan-Commonwealth Forum on Open Learning. Commonwealth of Learning, 2022. http://dx.doi.org/10.56059/pcf10.5379.
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The African continent has always been ravaged by the underrepresentation of women in Science Technology Engineering and Mathematics (STEM-TVET)-Technical and Vocational Education Training (TVET) related jobs. This trend keeps widening even with the sustained efforts by stakeholders to increase girls’ and women’s enrollment in STEM-TVET. A recent baseline study carried out by COL- ATUPA in the CAWS-WITED Project indicates that most institutions do not have support for girls and women in education and transition into STEM-TVET-related jobs. This paper focuses on why and how to get more women involved in STEM-TVET-related jobs. To achieve this goal, data were collected from 40 respondents from a population of thirty (30) selected institutions from ATUPA member countries and ten (10) STEM-TVET organizations. The population was selected based on the home countries of the research team. The preliminary result shows that there is a low transition of girls and women into STEM-TVET-related jobs. The finding further suggests that the availability of female role models and mentors for girls and women is a key factor to increase the transition of girls and women into STEM-TVET-related jobs.