Relevant bibliographies by topics / Prediction ellipse

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Prediction ellipse'

Author: Grafiati
Published: 28 May 2022
Last updated: 30 July 2025

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Journal articles on the topic "Prediction ellipse"

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Wu, Heng, Yanjie Liu, Chao Wang, and Yanlong Wei. "Global Semantic Localization from Abstract Ellipse-Ellipsoid Model and Object-Level Instance Topology." Remote Sensing 16, no. 22 (2024): 4187. http://dx.doi.org/10.3390/rs16224187.

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Robust and highly accurate localization using a camera is a challenging task when appearance varies significantly. In indoor environments, changes in illumination and object occlusion can have a significant impact on visual localization. In this paper, we propose a visual localization method based on an ellipse-ellipsoid model, combined with object-level instance topology and alignment. First, we develop a CNN-based (Convolutional Neural Network) ellipse prediction network, DEllipse-Net, which integrates depth information with RGB data to estimate the projection of ellipsoids onto images. Seco
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Begnaud, Michael L., Dale N. Anderson, Stephen C. Myers, Brian Young, James R. Hipp, and W. Scott Phillips. "Updates to the Regional Seismic Travel Time (RSTT) Model: 2. Path-dependent Travel-time Uncertainty." Pure and Applied Geophysics 178, no. 2 (2021): 313–39. http://dx.doi.org/10.1007/s00024-021-02657-7.

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AbstractThe regional seismic travel time (RSTT) model and software were developed to improve travel-time prediction accuracy by accounting for three-dimensional crust and upper mantle structure. Travel-time uncertainty estimates are used in the process of associating seismic phases to events and to accurately calculate location uncertainty bounds (i.e. event location error ellipses). We improve on the current distance-dependent uncertainty parameterization for RSTT using a random effects model to estimate slowness (inverse velocity) uncertainty as a mean squared error for each model parameter.
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Liu, Kang, Yonggang Lu, Rubing Bai, et al. "Ellipse Detection with Applications of Convolutional Neural Network in Industrial Images." Electronics 12, no. 16 (2023): 3431. http://dx.doi.org/10.3390/electronics12163431.

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Ellipse detection has a very wide range of applications in the field of industrial production, especially in the geometric detection of metallurgical hinge pins. However, the factors in industrial images, such as small object size and incomplete ellipse in the image boundary, bring challenges to ellipse detection, which cannot be solved by existing methods. This paper proposes a method for ellipse detection in industrial images, which utilizes the extended proposal operation to prevent the loss of ellipse rotation angle features during ellipse regression. Moreover, the Gaussian angle distance
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Cooke, D. H. "On Prediction of Off-Design Multistage Turbine Pressures by Stodola’s Ellipse." Journal of Engineering for Gas Turbines and Power 107, no. 3 (1985): 596–606. http://dx.doi.org/10.1115/1.3239778.

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The variation of extraction pressures with flow to the following stage for high backpressure, multistage turbine designs is highly nonlinear in typical cogeneration applications where the turbine nozzles are not choked. Consequently, the linear method based on Constant Flow Coefficient, which is applicable for uncontrolled expansion with high vacuum exhaust, as is common in utility power cycles, cannot be used to predict extraction pressures at off-design loads. The paper presents schematic examples and brief descriptions of cogeneration designs, with background and theoretical derivation of a
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Chung, David D., and Richard Wolfgramm. "Maxillary arch perimeter prediction using Ramanujan's equation for the ellipse." American Journal of Orthodontics and Dentofacial Orthopedics 147, no. 2 (2015): 235–41. http://dx.doi.org/10.1016/j.ajodo.2014.10.022.

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Zerega, Ryan, Carolyn Killelea, Justin Losciale, Mallory Faherty, and Timothy Sell. "Examination of the Feasibility of a 2-Dimensional Portable Assessment of Knee Joint Stability: A Pilot Study." Journal of Applied Biomechanics 36, no. 6 (2020): 381–89. http://dx.doi.org/10.1123/jab.2020-0024.

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Rupture of the anterior cruciate ligament (ACL) remains extremely common, with over 250,000 injuries annually. Currently, clinical tests have poor utility to accurately screen for ACL injury risk in athletes. In this study, the position of a knee marker was tracked in 2-dimensional planes to predict biomechanical variables associated with ACL injury risk. Three-dimensional kinematics and ground reaction forces were collected during bilateral, single-leg stop-jump tasks for 44 healthy male military personnel. Knee marker position data were extracted to construct 2-dimensional 95% prediction ell
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Liu, Bo, Fengying Yang, Guangzhi Zhang, and Longfei Zhao. "Pre-Stack Fracture Prediction in an Unconventional Carbonate Reservoir: A Case Study of the M Oilfield in Tarim Basin, NW China." Energies 17, no. 9 (2024): 2061. http://dx.doi.org/10.3390/en17092061.

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The reservoir of the M oilfield in Tarim Basin is an unconventional fracture-cave carbonate rock, encompassing various reservoir types like fractured, fracture-cave, and cave, exhibiting significant spatial heterogeneity. Despite the limited pore space in fractures, they can serve as seepage pathways, complicating the connectivity between reservoirs. High-precision fracture prediction is critical for the effective development of these reservoirs. The conventional post-stack seismic attribute-based approach, however, is limited in its ability to detect small-scale fractures. To address this lim
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Caliendo, Angela M., Mona D. Shahbazian, Carl Schaper, et al. "A Commutable Cytomegalovirus Calibrator Is Required to Improve the Agreement of Viral Load Values between Laboratories." Clinical Chemistry 55, no. 9 (2009): 1701–10. http://dx.doi.org/10.1373/clinchem.2009.124743.

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Abstract Background: Viral load testing for cytomegalovirus (CMV) is an important diagnostic tool for the management of transplant recipients and immunocompromised individuals; however, inconsistency among laboratories in quantitative measurements of viral load limits interinstitutional comparisons. These inconsistencies stem from the lack of assays cleared by the US Food and Drug Administration, the absence of international standards, the wide variety of CMV-extraction and -detection methods, and differences in materials used for calibration. A critical component of standardization is the use
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Nishimoto, H., A. Ohtani, A. Nakai, and H. Hamada. "Generation and prediction methods for circumferential distribution changes in the braiding angle on a cylindrical braided fabric." Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications 224, no. 2 (2010): 71–78. http://dx.doi.org/10.1243/14644207jmda281.

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Braided composites have an advantage in that their stiffness distribution can be changed by changing the orientation angle of the fibre bundle, called the ‘braiding angle’. To change the braiding angle on a cylindrical braided fabric, the longitudinal velocity of the mandrel and the angular rate of the spindle in a braider should be changed. However, these changes are only in the longitudinal direction and not in the circumferential direction. A method for generating changes in the circumferential direction is proposed. The method sets an elliptical guide ring to provide fibres towards the lon
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Whang, Allen Jong-Woei, Yi-Yung Chen, Wei-Chieh Tseng, et al. "Pupil Size Prediction Techniques Based on Convolution Neural Network." Sensors 21, no. 15 (2021): 4965. http://dx.doi.org/10.3390/s21154965.

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The size of one’s pupil can indicate one’s physical condition and mental state. When we search related papers about AI and the pupil, most studies focused on eye-tracking. This paper proposes an algorithm that can calculate pupil size based on a convolution neural network (CNN). Usually, the shape of the pupil is not round, and 50% of pupils can be calculated using ellipses as the best fitting shapes. This paper uses the major and minor axes of an ellipse to represent the size of pupils and uses the two parameters as the output of the network. Regarding the input of the network, the dataset is
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Dissertations / Theses on the topic "Prediction ellipse"

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Prykhodko, S., N. Prykhodko, L. Makarova, O. Kudin, T. Smykodub, and A. Prykhodko. "Detecting bivariate outliers on the basis of normalizing transformations for non-Gaussian data." Thesis, Sumy State University, 2017. http://essuir.sumdu.edu.ua/handle/123456789/55754.

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The statistical technique for detecting outliers in bivariate non-Gaussian data on the basis of normalizing transformations, prediction ellipse and a test statistic (TS) for the Mahalanobis squared distance (MSD), which has an approximate F distribution, is proposed. Application of the technique is considered for detecting outliers in two bivariate non-Gaussian data sets: the first, actual effort (hours) and size (adjusted function points) from 145 maintenance and development projects, the second, effort (hours) and mass (tonnes) of designed the section of the ship from 188 designs
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Mukonyora, Michelle. "The in silico prediction of foot-and-mouth disease virus (FMDV) epitopes on the South African territories (SAT)1, SAT2 and SAT3 serotypes." Diss., 2015. http://hdl.handle.net/10500/21942.

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Foot-and-mouth disease (FMD) is a highly contagious and economically important disease that affects even-toed hoofed mammals. The FMD virus (FMDV) is the causative agent of FMD, of which there are seven clinically indistinguishable serotypes. Three serotypes, namely, South African Territories (SAT)1, SAT2 and SAT3 are endemic to southern Africa and are the most antigenically diverse among the FMDV serotypes. A negative consequence of this antigenic variation is that infection or vaccination with one virus may not provide immune protection from other strains or it may only confer partia
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Books on the topic "Prediction ellipse"

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Melchers, R. E. Structural Reliability: Analysis and Prediction (Ellis Horwood Series in Civil Engineering). Prentice Hall, 1987.

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John E. Strutt (Other Contributor) and J. R. Nicholls (Other Contributor), eds. Plant Corrosion: Prediction of Materials Performance (Ellis Horwood Series in Analytical Chemistry). Ellis Horwood, Ltd., 1987.

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Strutt, John E. Plant Corrosion: Prediction of Materials Performance (Ellis Horwood Series in Corrosion and Its Prevention). Ellis Horwood Ltd, 1987.

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Crabbe, M. James C. Enzyme Biotechnology: Protein Engineering, Structure Prediction and Fermentation (Ellis Horwood Books in the Biological Sciences). Ellis Horwood, 1990.

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Crabbe, M. James C. Enzyme Biotechnology: Protein Engineering, Structure Prediction and Fermentation (Ellis Horwood Books in the Biological Sciences). Ellis Horwood, 1990.

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Book chapters on the topic "Prediction ellipse"

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Guo, Zijun, Huilong Yu, and Junqiang Xi. "Time-Optimal Learning-Based LTV-MPC for Autonomous Racing." In Lecture Notes in Mechanical Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-70392-8_33.

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AbstractAutonomous racing is a time- and accuracy-critical application of vehicle motion planning and control techniques. Despite being promising for its ability to handle constraints, model predictive control (MPC) for autonomous racing is limited by the relatively low computational speed and the problem of model mismatch. In this work, we present a time-optimal linear-time-variant-MPC (LTV-MPC) that incorporates a min-time objective function, the friction ellipse constraint, and the successive linearization over the prediction horizon to improve computational speed and prediction accuracy. T
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Lam, Lam T. S., Wilson C. Y. Lam, and Dennis N. K. Leung. "A Hough-like prediction/correction approach for ellipse detection." In Computer Analysis of Images and Patterns. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/3-540-57233-3_24.

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Ruda, Marta. "Null arguments and diagnostic issues." In Language Faculty and Beyond. John Benjamins Publishing Company, 2025. https://doi.org/10.1075/lfab.19.02rud.

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Abstract Argument ellipsis (AE) has recently been gaining in prominence as the analytical tool employed to account for null argument data in a wide range of languages. The choice between this analysis and the null pronoun alternative is frequently determined based on two types of data, namely, a comparison of the interpretive properties of the null argument and an overt pronoun and the availability of null arguments in the absence of a linguistic antecedent. In this contribution, I look more closely at the nature of the AE-null pronoun distinction, showing first that the frequently-employed di
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Zhang, Xin, Jinsong He, Hao Ma, Zhixun Ma, and Xiaohai Ge. "An Ellipse-Optimized Composite Backstepping Control Strategy for a Point-of-Load Inverter to Improve Its Large-Signal Stability Under Load Disturbance in the Shipboard Power System." In Stability Enhancement Methods of Inverters Based on Lyapunov Function, Predictive Control, and Reinforcement Learning. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-7191-4_5.

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Leoni Martino and Vermeer Pieter A. "Numerical modelling of creep in soft soils." In Proceedings of the 17th International Conference on Soil Mechanics and Geotechnical Engineering. IOS Press, 2009. https://doi.org/10.3233/978-1-60750-031-5-578.

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A new constitutive model for time-dependent behaviour of soft soils has been recently proposed. Stemming from a previously developed viscoelastic isotropic model based on ellipses of Modified Cam Clay, anisotropy was taken into account by introducing a fabric tensor to represent the rotation of the constitutive ellipses in p'-q (mean effective stress-deviatoric stress) plane. Due to the particle orientation induced by deposition mechanism, natural soils are anisotropic in terms of strength and stiffness. The improvement induced by the new formulation is particularly evident in stress paths in
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Rusten, Kristian A. "What could have sanctioned null subjects in Old English?" In Referential Null Subjects in Early English. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198808237.003.0005.

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Chapter 5 investigates the question of what could have sanctioned null subjects in Old English. It tests the empirical validity for the Old English data of central syntactic models attempting to account for the appearance of null subjects. It is shown that the predictions made by these analyses are not borne out in Old English, and it is argued that analysing the omitted subjects in terms of ellipsis is more fruitful than construing them as an active canonical or partial pro-drop grammar. The stance is taken that referential null subjects do not represent a productive grammatical feature of Ol
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Muggleton, Stephen, and Wang-Zhou Dai. "Human-like Computer Vision." In Human-Like Machine Intelligence. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198862536.003.0010.

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Statistical machine learning is widely used in image classification and typically 1) requires many images to achieve high accuracy and 2) does not provide support for reasoning below the level of classification. By contrast this paper describes an approach called machine learning approach called Logical Vision (LV) which uses a) background knowledge such as light reflection that can itself be learned and used for resolving visual ambiguities, which cannot be easily modeled using statistical approaches, b) a wider class of background models representing classical 2D shapes such as circles and e
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Conference papers on the topic "Prediction ellipse"

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Cui, Henggang, Hoda Shajari, Sai Yalamanchi, and Nemanja Djuric. "Ellipse Loss for Scene-Compliant Motion Prediction." In 2021 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2021. http://dx.doi.org/10.1109/icra48506.2021.9561536.

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Zins, Matthieu, Gilles Simon, and Marie-Odile Berger. "3D-Aware Ellipse Prediction for Object-Based Camera Pose Estimation." In 2020 International Conference on 3D Vision (3DV). IEEE, 2020. http://dx.doi.org/10.1109/3dv50981.2020.00038.

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Wang, T. Y., S. X. Wang, S. Y. Yuan, P. D. Shi, and B. P. Yan. "Influence Factors Analysis of Anisotropic Fracture Prediction Using Ellipse Fitting." In 78th EAGE Conference and Exhibition 2016. EAGE Publications BV, 2016. http://dx.doi.org/10.3997/2214-4609.201601405.

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Hånde, Bjørn M. "A New Matching Procedure for Multishaft Gas Turbines Modelled With the Mean Line Prediction Method." In ASME 1994 International Gas Turbine and Aeroengine Congress and Exposition. American Society of Mechanical Engineers, 1994. http://dx.doi.org/10.1115/94-gt-493.

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A new matching procedure adapted for multishaft gas turbines modelled with the mean line prediction method, is presented. Mass flow and pressure convergence is achieved with stage by stage marching in the flow direction where the high pressure and low pressure units are treated together. Independent iteration on the power balance gives a stable procedure that can be applied in static as well as dynamic simulations. The procedure can be accelerated with an algoritm combining an advanced version of the Ellipse equation with the mean line prediction method.
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Wang, Qian, and Beshah Ayalew. "Obstacle Filtering Algorithm for Control of an Autonomous Road Vehicle in Public Highway Traffic." In ASME 2016 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/dscc2016-9835.

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This paper presents an obstacle filtering algorithm that mimics human driver-like grouping of objects within a model predictive control scheme for an autonomous road vehicle. In the algorithm, a time to collision criteria is first used as risk assessment indicator to filter the potentially dangerous obstacle object vehicles in the proximity of the autonomously controlled vehicle. Then, the filtered object vehicles with overlapping elliptical collision areas put into groups. A hyper elliptical boundary is regenerated to define an extended collision area for the group. To minimize conservatism,
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Lyu, Jiaqi, Javid Akhavan, Youmna Mahmoud, Ke Xu, Chaitanya Krishna Prasad Vallabh, and Souran Manoochehri. "Real-Time Monitoring and Gaussian Process-Based Estimation of the Melt Pool Profile in Direct Energy Deposition." In ASME 2023 18th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/msec2023-105104.

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Abstract A comprehensive understanding of the melt pool behavior during directed energy deposition (DED) has become essential in identifying process anomalies and controlling the process quality. Previous studies focused on predicting the melt pool characteristics by solely using the process parameters, in this study we use real-time melt pool images to predict the melt pool characteristics. A CMOS camera is used to capture coaxial images of the melt pool during the deposition of single-track prints to improve the prediction model. Multiple regression models are trained and compared to estimat
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Yang, B. D., J. J. Chen, and C. H. Menq. "Prediction of Resonant Response of Shrouded Blades With 3D Shroud Constraint." In ASME 1998 International Gas Turbine and Aeroengine Congress and Exhibition. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/98-gt-485.

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In this paper, the 3D shroud contact kinematics of a shrouded blade system is studied. The assumed blade motion has three components, namely axial, tangential, and radial components, which result in a three dimensional relative motion across the shroud interface. The resulting relative motion can be decomposed into two components. The first one is on the contact plane and can induce stick-slip friction. The other component is perpendicular to the contact plane and can cause variation of the contact normal load and, in extreme circumstances, separation of the two contacting surfaces. In order t
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Tierney, Charles, Jeff Harris, David Reich, Nicholas Jaffa, and Sven Schmitz. "Scaled Model Testing of Rotor Hub Root-End Airfoil Shapes." In Vertical Flight Society 75th Annual Forum & Technology Display. The Vertical Flight Society, 2019. http://dx.doi.org/10.4050/f-0075-2019-14740.

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In order to extend the boundaries of helicopter performance and increase forward-flight speed, it is necessary to reduce the drag on the rotor hub, which can account for as much as 30% of the total parasite drag on the helicopter. Currently, there is limited experimental data available to predict the drag force on new hub configurations. The purpose of this testing is to create a database of lift and drag at various angles of attack to aid in hub design and hub drag prediction. Testing was conducted in the 12 inch-diameter water tunnel at ARL Penn State on four shapes - DBLN 526, 4:1 Ellipse,
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Wu, Wen, Peipei Chen, Barclay G. Jones, and Ty A. Newell. "On the Influence of Heating Surface Structure on Bubble Detachment in Sub-Cooled Nucleate Boiling Flows." In 14th International Conference on Nuclear Engineering. ASMEDC, 2006. http://dx.doi.org/10.1115/icone14-89546.

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This research examines the influence of heating surface structure on bubble detachment, which includes bubble departure and bubble lift-off, under sub-cooled nucleate boiling condition, in order to obtain better understanding to the bubble dynamics on horizontal flat heat exchangers. Refrigerant R-134a is chosen as a simulant fluid due to its merits of having smaller surface tension, reduced latent heat, and lower boiling temperature than water. Experiments were run with varying experimental parameters e.g. pressure, inlet sub-cooled level, and flow rate, etc. High speed digital images at fram
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Pinho, Jorge, Patrick Rambaud, and Saïd Chabane. "Mass Flux and Hydrodynamic Forces of Two-Phase Cavitating Flow Through a Safety Relief Valve at Initial Subcooling Conditions." In ASME 2014 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/pvp2014-28314.

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Previous experiments were conducted and reported in a safety relief valve. It was noticed that in presence of a cavitating two-phase flow, the mass flux tends to be reduced due to the two-phase mixture compressibility. Moreover, the forces acting on the valve are dependent on the dynamic pressure and therefore, characteristics may be affected by the presence of a gas phase. The goal of this study is to propose a mathematical model capable of predicting the mass flux and forces acting on a safety relief valve experiencing cavitation at initial high subcooling conditions. For the mass flux predi
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Reports on the topic "Prediction ellipse"

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Warrick, Arthur W., Gideon Oron, Mary M. Poulton, Rony Wallach, and Alex Furman. Multi-Dimensional Infiltration and Distribution of Water of Different Qualities and Solutes Related Through Artificial Neural Networks. United States Department of Agriculture, 2009. http://dx.doi.org/10.32747/2009.7695865.bard.

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The project exploits the use of Artificial Neural Networks (ANN) to describe infiltration, water, and solute distribution in the soil during irrigation. It provides a method of simulating water and solute movement in the subsurface which, in principle, is different and has some advantages over the more common approach of numerical modeling of flow and transport equations. The five objectives were (i) Numerically develop a database for the prediction of water and solute distribution for irrigation; (ii) Develop predictive models using ANN; (iii) Develop an experimental (laboratory) database of
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