Relevant bibliographies by topics / Boundary estimation

Academic literature on the topic 'Boundary estimation'

Author: Grafiati
Published: 4 June 2021
Last updated: 29 January 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Contents

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Boundary estimation.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Boundary estimation"

1

Carlstein, E., and C. Krishnamoorthy. "Boundary Estimation." Journal of the American Statistical Association 87, no. 418 (June 1992): 430–38. http://dx.doi.org/10.1080/01621459.1992.10475223.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Cuevas, Antonio, and Alberto Rodríguez-Casal. "On boundary estimation." Advances in Applied Probability 36, no. 2 (June 2004): 340–54. http://dx.doi.org/10.1239/aap/1086957575.

Full text
Abstract:
We consider the problem of estimating the boundary of a compact set S ⊂ ℝd from a random sample of points taken from S. We use the Devroye-Wise estimator which is a union of balls centred at the sample points with a common radius (the smoothing parameter in this problem). A universal consistency result, with respect to the Hausdorff metric, is proved and convergence rates are also obtained under broad intuitive conditions of a geometrical character. In particular, a shape condition on S, which we call expandability, plays an important role in our results. The simple structure of the considered estimator presents some practical advantages (for example, the computational identification of the boundary is very easy) and makes this problem quite close to some basic issues in stochastic geometry.
APA, Harvard, Vancouver, ISO, and other styles
3

Cuevas, Antonio, and Alberto Rodríguez-Casal. "On boundary estimation." Advances in Applied Probability 36, no. 02 (June 2004): 340–54. http://dx.doi.org/10.1017/s0001867800013501.

Full text
Abstract:
We consider the problem of estimating the boundary of a compact set S ⊂ ℝ d from a random sample of points taken from S. We use the Devroye-Wise estimator which is a union of balls centred at the sample points with a common radius (the smoothing parameter in this problem). A universal consistency result, with respect to the Hausdorff metric, is proved and convergence rates are also obtained under broad intuitive conditions of a geometrical character. In particular, a shape condition on S, which we call expandability, plays an important role in our results. The simple structure of the considered estimator presents some practical advantages (for example, the computational identification of the boundary is very easy) and makes this problem quite close to some basic issues in stochastic geometry.
APA, Harvard, Vancouver, ISO, and other styles
4

Zhang, Shunpu, Zhong Li, and Zhiying Zhang. "Estimating a Distribution Function at the Boundary." Austrian Journal of Statistics 49, no. 1 (February 20, 2020): 1–23. http://dx.doi.org/10.17713/ajs.v49i1.801.

Full text
Abstract:
Estimation of distribution functions has many real-world applications. We study kernel estimation of a distribution function when the density function has compact support. We show that, for densities taking value zero at the endpoints of the support, the kernel distribution estimator does not need boundary correction. Otherwise, boundary correction is necessary. In this paper, we propose a boundary distribution kernel estimator which is free of boundary problem and provides non-negative and non-decreasing distribution estimates between zero and one. Extensive simulation results show that boundary distribution kernel estimator provides better distribution estimates than the existing boundary correction methods. For practical application of the proposed methods, a data-dependent method for choosing the bandwidth is also proposed.
APA, Harvard, Vancouver, ISO, and other styles
5

Bii, Nelson Kiprono, Christopher Ouma Onyango, and John Odhiambo. "Boundary Bias Correction Using Weighting Method in Presence of Nonresponse in Two-Stage Cluster Sampling." Journal of Probability and Statistics 2019 (June 2, 2019): 1–8. http://dx.doi.org/10.1155/2019/6812795.

Full text
Abstract:
Kernel density estimators due to boundary effects are often not consistent when estimating a density near a finite endpoint of the support of the density to be estimated. To address this, researchers have proposed the application of an optimal bandwidth to balance the bias-variance trade-off in estimation of a finite population mean. This, however, does not eliminate the boundary bias. In this paper weighting method of compensating for nonresponse is proposed. Asymptotic properties of the proposed estimator of the population mean are derived. Under mild assumptions, the estimator is shown to be asymptotically consistent.
APA, Harvard, Vancouver, ISO, and other styles
6

Moon, Kevin, Kumar Sricharan, Kristjan Greenewald, and Alfred Hero. "Ensemble Estimation of Information Divergence †." Entropy 20, no. 8 (July 27, 2018): 560. http://dx.doi.org/10.3390/e20080560.

Full text
Abstract:
Recent work has focused on the problem of nonparametric estimation of information divergence functionals between two continuous random variables. Many existing approaches require either restrictive assumptions about the density support set or difficult calculations at the support set boundary which must be known a priori. The mean squared error (MSE) convergence rate of a leave-one-out kernel density plug-in divergence functional estimator for general bounded density support sets is derived where knowledge of the support boundary, and therefore, the boundary correction is not required. The theory of optimally weighted ensemble estimation is generalized to derive a divergence estimator that achieves the parametric rate when the densities are sufficiently smooth. Guidelines for the tuning parameter selection and the asymptotic distribution of this estimator are provided. Based on the theory, an empirical estimator of Rényi-α divergence is proposed that greatly outperforms the standard kernel density plug-in estimator in terms of mean squared error, especially in high dimensions. The estimator is shown to be robust to the choice of tuning parameters. We show extensive simulation results that verify the theoretical results of our paper. Finally, we apply the proposed estimator to estimate the bounds on the Bayes error rate of a cell classification problem.
APA, Harvard, Vancouver, ISO, and other styles
7

Chaji, K., M. El Bagdouri, and R. Channa. "A 2D domain boundary estimation." Journal of Physics: Conference Series 135 (November 1, 2008): 012029. http://dx.doi.org/10.1088/1742-6596/135/1/012029.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Ben-Haim, Yakov, and H. G. Natke. "Sequential Adaptation in Estimating Elastic Boundary-Condition Influence Matrices." Journal of Dynamic Systems, Measurement, and Control 115, no. 3 (September 1, 1993): 370–78. http://dx.doi.org/10.1115/1.2899112.

Full text
Abstract:
A method is discussed for adaptive estimation of the boundary-condition influence matrix of a linear elastic system, based on modal measurements (eigenvalues and eigenvectors) and on knowledge of the influence matrix of the system with respect to reference boundary conditions. The estimation is terminated adaptively by an algorithm motivated by the concept of sequential analysis. The boundary-condition influence matrix is re-estimated with measurement of each additional mode, until a termination criterion indicates that adequate accuracy has been attained. The advantage of adaptive termination of the estimation is the enhanced computational (and possibly instrumental) efficiency of estimating with minimal modal data. An analytical technique for comparing the adaptive termination with a reasonable non-adaptive method has been developed and demonstrated by application to a uniform beam. When uncertainty in the boundary conditions is represented by convex models, it is shown that the adaptive estimation can terminate much earlier than the non-adaptive procedure.
APA, Harvard, Vancouver, ISO, and other styles
9

Bin, Michelangelo, and Florent Di Meglio. "Boundary Estimation of Boundary Parameters for Linear Hyperbolic PDEs." IEEE Transactions on Automatic Control 62, no. 8 (August 2017): 3890–904. http://dx.doi.org/10.1109/tac.2016.2643442.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Bouredji, H., and A. Sayah. "BIAS CORRECTION AT END POINTS IN KERNEL DENSITY ESTIMATION." Advances in Mathematics: Scientific Journal 10, no. 12 (December 1, 2021): 3515–31. http://dx.doi.org/10.37418/amsj.10.12.1.

Full text
Abstract:
In this paper, we propose a new approach of boundary correction for kernel density estimation with the support $[0,1]$, in particular at the right endpoints and we derive the theoretical properties of this new estimator and show that it asymptotically reduce the order of bias at the boundary region, whereas the order of variance remains unchanged. Our Monte Carlo simulations demonstrate the good finite sample performance of our proposed estimator. Two examples with real data are provided.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Boundary estimation"

1

Mu, Yingfei. "Boundary Estimation." Diss., North Dakota State University, 2015. http://hdl.handle.net/10365/25195.

Full text
Abstract:
The existing statistical methods do not provide a satisfactory solution to determining the spatial pattern in spatially referenced data, which is often required by research in many areas including geology, agriculture, forestry, marine science and epidemiology for identifying the source of the unusual environmental factors associated with a certain phenomenon. This work provides a novel algorithm which can be used to delineate the boundary of an area of hot spots accurately and e ciently. Our algorithm, rst of all, does not assume any pre-speci ed geometric shapes for the change-curve. Secondly, the computation complexity by our novel algorithm for changecurve detection is in the order of O(n2), which is much smaller than 2O(n2) required by the CUSP algorithm proposed in M uller&Song [8] and Carlstein's [2] estimators. Furthermore, our novel algorithm yields a consistent estimate of the change-curve as well as the underlying distribution mean of observations in the regions. We also study the hypothesis test of the existence of the change-curve in the presence of independence of the spatially referenced data. We then provide some simulation studies as well as a real case study to compare our algorithm with the popular boundary estimation method : Spatial scan statistic.
APA, Harvard, Vancouver, ISO, and other styles
2

Pasha, Hasan G. "Estimation of Static Stiffnesses from Free Boundary Dynamic (FRF) Measurements." University of Cincinnati / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1416569956.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

YANG, FAN Carolan Christopher. "ESTIMATION OF THE PROBABILITY A BROWNIAN BRIDGE CROSSES A CONCAVE BOUNDARY." [Greenville, N.C.] : East Carolina University, 2010. http://hdl.handle.net/10342/2798.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Wright, Andrew D. "Acoustic boundary condition estimation in a near-scale gas-turbine combustor." Thesis, This resource online, 1996. http://scholar.lib.vt.edu/theses/available/etd-08222008-063430/.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Zhang, Hanzhong. "A moving boundary problem in a distributed parameter system with application to diode modeling." Access restricted to users with UT Austin EID, 2001. http://wwwlib.umi.com/cr/utexas/fullcit?p3037035.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Monokrousos, Antonios. "Optimisation and control of boundary layer flows." Licentiate thesis, Stockholm : Skolan för teknikvetenskap, Kungliga Tekniska högskolan, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-10652.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Van, der Kamp Derek. "Ceilometer observations of Vancouver's urban boundary layer : validation and mixed-layer height estimation." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/1599.

Full text
Abstract:
A mini-lidar system, Vaisala's CL31 ceilometer, was installed within a suburban area of Vancouver, BC, for the purpose of making continuous observations of the boundary layer over a period of 11 months. Initial validation of the ceilometer for use in boundary layer observations was undertaken. This involved the comparison of ceilometer data with eight months of ground-level particulate matter measurements, as well as with 16 vertical profiles of particulate matter and meteorological data. Once a variety of persistent noise structures within the data were accounted for, it was found that the ceilometer data showed good agreement with the particulate matter data, suggesting its usefulness for assessing air-quality throughout the bottom 1km of the atmosphere. Additionally, two algorithms were developed in order to estimate the height of the convective boundary layer, or the mixed-layer height, from the ceilometer data. One involved the fitting of an ideal-profile to the measured data, while the other involved the location of a minimum-gradient in the backscatter profile. The performance of these two techniques were assessed and compared, and it was found that the ideal-profile method was the more robust of the two. Finally, mixed-layer heights were estimated for fair weather, convectively active days. In order to isolate such conditions, an automatic flagging algorithm was developed. However, additional manual assessment was needed to avoided unsuitable conditions. Mixed-layer heights were estimated for 19 days over an 11 month period. the estimates presented here were found to agree with previous observations. Daily maximum mixed-layer heights ranged from 650m in July to 350m in December, indicating that the height of the convective boundary layer within Vancouver is significantly suppressed due to the city's coastal location.
APA, Harvard, Vancouver, ISO, and other styles
8

Ruda, Harald. "Estimation of the parameters of a boundary contour system using psychophysical hyperacuity experiments." Thesis, Boston University, 2013. https://hdl.handle.net/2144/12843.

Full text
Abstract:
Dissertation (Ph.D.)--Boston University
Visual hyperacuity enables observers to make accurate judgments of the relative positions of stimuli when the differences are smaller than the size of a single cone in the fovea. Because hyperacuity can serve as a gauge for precisely measuring characteristics of the visual system, it can provide stringent tests for models of the visual system. A variant of the Boundary Contour System (BCS) model is here used to clarify previously unexplained psychophysical hyperacuity results involving contrast polarity, stimulus separation, and sinusoidal masking gratings. Two-dot alignment thresholds were studied by Levi & Waugh (1996) by varying the gap between the dots, with same and opposite contrast polarity with respect to the background, and also with and without band-limited sinusoidal grating masks of different orientations. They found that when the gap between the dots is small (6 arcmin), different patterns of misalignment thresholds are obtained for the same and different contrast polarity conditions. However, when the gap is large (24 arcmin), the same pattern of thresholds was obtained irrespective of contrast polarity. The simulations presented here replicate these findings, producing the same pattern of results when varying the gap between the dots, with same and opposite contrast polarity with respect to the background, and also with and without sinusoidal grating masks of different orientations. The vision model used (BCS) is able to produce these patterns because of its inherent processing using contrast insensitivity, spatial and oriented competition, and long-range completion layers. A novel aspect of the model is the use of sampled field processing, which simplifies the model's equations. Modified Hebbian learning and a neural decision module are proposed as mechanisms that link the vision model's outputs to a decision criterion. All model parts have plausible neurobiological correlates. In addition, psychophysical hyperacuity experiments served to map the limits of inhibitory spatial interactions. The results show that inhibition occurs even when only half of the split flanking line of Badcock & Westheimer (1985b) is used, suggesting that subthreshold activity in units representing the line extends beyond the end of the line. Furthermore, strong inhibition was observed with a flanking illusory line grating.
APA, Harvard, Vancouver, ISO, and other styles
9

Freeman, Matthew A. "Multi-area power system state estimation utilizing boundary measurements and phasor measurement units ( PMUs)." Thesis, Texas A&M University, 2006. http://hdl.handle.net/1969.1/4178.

Full text
Abstract:
The objective of this thesis is to prove the validity of a multi-area state estimator and investigate the advantages it provides over a serial state estimator. This is done utilizing the IEEE 118 Bus Test System as a sample system. This thesis investigates the benefits that stem from utilizing a multi-area state estimator instead of a serial state estimator. These benefits are largely in the form of increased accuracy and decreased processing time. First, the theory behind power system state estimation is explained for a simple serial estimator. Then the thesis shows how conventional measurements and newer, more accurate PMU measurements work within the framework of weighted least squares estimation. Next, the multi-area state estimator is examined closely and the additional measurements provided by PMUs are used to increase accuracy and computational efficiency. Finally, the multi-area state estimator is tested for accuracy, its ability to detect bad data, and computation time.
APA, Harvard, Vancouver, ISO, and other styles
10

Sun, Walter. "Learning the dynamics of deformable objects and recursive boundary estimation using curve evolution techniques." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/34978.

Full text
Abstract:
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Includes bibliographical references (p. 161-176).
The primary objective of this thesis is to develop robust algorithms for the incorporation of statistical information in the problem of estimating object boundaries in image data. We propose two primary algorithms, one which jointly estimates the underlying field and boundary in a static image and another which performs image segmentation across a temporal sequence. Some motivating applications come from the earth sciences and medical imaging. In particular, we examine the problems of oceanic front and sea surface temperature estimation in oceanography, soil boundary and moisture estimation in hydrology, and left ventricle boundary estimation across a cardiac cycle in medical imaging. To accomplish joint estimation in a static image, we introduce a variational technique that incorporates the spatial statistics of the underlying field to segment the boundary and estimate the field on either side of the boundary. For image segmentation across a sequence of frames, we propose a method for learning the dynamics of a deformable boundary that uses these learned dynamics to recursively estimate the boundary in each frame over time. In the recursive estimation algorithm, we extend the traditional particle filtering approach by applying sample-based methods to a complex shape space.
(cont.) We find a low-dimensional representation for this shape-shape to make the learning of the dynamics tractable and then incorporate curve evolution into the state estimates to recursively estimate the boundaries. Experimental results are obtained on cardiac magnetic resonance images, sea surface temperature data, and soil moisture maps. Although we focus on these application areas, the underlying mathematical principles posed in the thesis are general enough that they can be applied to other applications as well. We analyze the algorithms on data of differing quality, with both high and low SNR data and also full and sparse observations.
by Walter Sun.
Ph.D.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Boundary estimation"

1

Banks, H. Thomas. Boundary estimation problems arising in thermal tomography. Hampton, Va: Institute for Computer Applications in Science and Engineering, 1989.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Banks, H. Thomas. Boundary estimation problems arising in thermal tomography. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1990.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Sunahara, Y. A method of boundary parameter estimation for a two-dimensional diffusion system under noisy observations. Hampton, Va: ICASE, 1987.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

Banks, H. Thomas. Boundary shape identification problems in two-dimensional domains related to thermal testing of materials. Hampton, Va: ICASE, 1988.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

Vàzquez, Rafael. Control of turbulent and magnetohydrodynamic channel flows: Boundary stabilization and state estimation. Boston: Birkhäuser, 2008.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

Vàzquez, Rafael. Control of turbulent and magnetohydrodynamic channel flows: Boundary stabilization and state estimation. Boston: Birkhäuser, 2008.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

Kojima, Fumio. Parameter estimation for boundary value problems by integral equations of the second kind. Hampton, Va: ICASE, 1988.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

McBride, Marvin B. Estimation of stratocumulus-topped boundary layer depth using sea surface and remotely sensed cloud-top temperatures. Monterey, Calif: Naval Postgraduate School, 2000.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

Gunson, James R. Estimating open-ocean boundary conditions: Sensitivity studies. Woods Hole, Mass: Woods Hole Oceanographic Institution, 1995.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

Gunson, James R. Estimating open-ocean boundary conditions: Sensitivity studies. Woods Hole, Mass: Woods Hole Oceanographic Institution, 1995.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Boundary estimation"

1

Sauter, Stefan A., and Christoph Schwab. "A Posteriori Error Estimation." In Boundary Element Methods, 517–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68093-2_9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Jeong, Seok-Oh, and Byeong U. Park. "On Convex Boundary Estimation." In Exploring Research Frontiers in Contemporary Statistics and Econometrics, 189–200. Heidelberg: Physica-Verlag HD, 2011. http://dx.doi.org/10.1007/978-3-7908-2349-3_9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Zacks, Shelemyahu. "Sequential Estimation." In Sample Path Analysis and Distributions of Boundary Crossing Times, 87–96. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67059-1_6.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Rudemo, Mats, and Henrik Stryhn. "Boundary estimation for star-shaped objects." In Institute of Mathematical Statistics Lecture Notes - Monograph Series, 276–83. Hayward, CA: Institute of Mathematical Statistics, 1994. http://dx.doi.org/10.1214/lnms/1215463130.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Komornik, Vilmos, and Paola Loreti. "Boundary Observability of Compactly Perturbed Systems." In Control and Estimation of Distributed Parameter Systems, 219–30. Basel: Birkhäuser Basel, 2003. http://dx.doi.org/10.1007/978-3-0348-8001-5_14.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Surana, Karan S., and J. N. Reddy. "Convergence, Error Estimation, and Adaptivity." In The Finite Element Method for Boundary Value Problems, 683–770. Boca Raton : CRC Press, 2017.: CRC Press, 2016. http://dx.doi.org/10.1201/9781315365718-12.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Preston, Joseph Samuel, Sarang Joshi, and Ross Whitaker. "Deformation Estimation with Automatic Sliding Boundary Computation." In Lecture Notes in Computer Science, 72–80. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46726-9_9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Hall, Peter, and Marc Raimondo. "Measuring the performance of boundary-estimation methods." In Institute of Mathematical Statistics Lecture Notes - Monograph Series, 1–14. Hayward, CA: Institute of Mathematical Statistics, 1997. http://dx.doi.org/10.1214/lnms/1215454123.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Tsybakov, A. B. "Multidimensional change-point problems and boundary estimation." In Institute of Mathematical Statistics Lecture Notes - Monograph Series, 317–29. Hayward, CA: Institute of Mathematical Statistics, 1994. http://dx.doi.org/10.1214/lnms/1215463133.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Mordukhovich, Boris S., and Kaixia Zhang. "Dirichlet Boundary Control of Parabolic Systems with Pointwise State Constraints." In Control and Estimation of Distributed Parameter Systems, 223–36. Basel: Birkhäuser Basel, 1998. http://dx.doi.org/10.1007/978-3-0348-8849-3_17.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Boundary estimation"

1

Darms, Michael, Matthias Komar, and Stefan Lueke. "Map based road boundary estimation." In 2010 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2010. http://dx.doi.org/10.1109/ivs.2010.5548011.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Pierson, Jr., William E., Batuhan Ulug, and Stanley C. Ahalt. "Boundary methods for mode estimation." In AeroSense '99, edited by Edmund G. Zelnio. SPIE, 1999. http://dx.doi.org/10.1117/12.357694.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Mandlik, Michal, Vladimir Brazda, Martin Paclik, Milan Kvicera, Naiallen Carvalho, Tomas Nouza, Ondrej Kozak, and Christian Sturm. "Automotive Radar – Road Boundary Estimation." In 2021 International Symposium ELMAR. IEEE, 2021. http://dx.doi.org/10.1109/elmar52657.2021.9550950.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Mandlik, Michal, Vladimir Brazda, Martin Paclik, Milan Kvicera, Naiallen Carvalho, Tomas Nouza, Ondrej Kozak, and Christian Sturm. "Automotive Radar – Road Boundary Estimation." In 2021 International Symposium ELMAR. IEEE, 2021. http://dx.doi.org/10.1109/elmar52657.2021.9550950.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Duttagupta, Subhasri, Krithi Ramamritham, and Parmesh Ramanathan. "Distributed Boundary Estimation using Sensor Networks." In 2006 IEEE International Conference on Mobile Adhoc and Sensor Systems. IEEE, 2006. http://dx.doi.org/10.1109/mobhoc.2006.278571.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Veelaert, Peter, and Robert A. Melter. "Boundary estimation for multiply digitized objects." In SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, edited by Robert A. Melter, Angela Y. Wu, Fred L. Bookstein, and William D. K. Green. SPIE, 1995. http://dx.doi.org/10.1117/12.216417.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Narasimha, Ramya, Elise Arnaud, Florence Forbes, and Radu Horaud. "Cooperative disparity and object boundary estimation." In 2008 15th IEEE International Conference on Image Processing - ICIP 2008. IEEE, 2008. http://dx.doi.org/10.1109/icip.2008.4712122.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Yang, Xin, Qingling Chang, Xinlin Liu, and Yan Cui. "Monocular Depth Estimation with Sharp Boundary." In 2022 8th International Conference on Virtual Reality (ICVR). IEEE, 2022. http://dx.doi.org/10.1109/icvr55215.2022.9847695.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Luong, David, and Tsu-Chin Tsao. "Nonlinear State Estimation of Moving Boundary Heat Exchanger Models for Organic Rankine Cycle Waste Heat Recovery." In ASME 2013 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/dscc2013-4037.

Full text
Abstract:
This paper presents results for nonlinear state estimation of a nonlinear, control-oriented Moving Boundary heat exchanger model derived from energy and mass conservation principles. The estimator design assumes pressure and temperature measurements typically available in waste heat recovery (WHR) applications. An Extended Kalman Filter (EKF) and a Fixed-Gain state estimator are developed for an open Organic Rankine Cycle (ORC). The ORC model assumes a nonlinear evaporator dynamic model connected to static expander and throttle valve models. Simulations show that the Fixed-Gain state estimator diverges when initial estimation error is present, and thus is not applicable for the nonlinear model. The EKF provides state estimates regardless of initial estimation error for both the Approximated and Full Jacobians used in the linearization update equations. The estimation error is slightly higher for the Approximated case only at the onset of mass flow rate changes, but shortly converge to zero in both cases. The results suggest the Approximated and Full Jacobians are valid for estimation of a nonlinear ORC in the presence of the examined transient inputs. Furthermore, the results are useful for state feedback control design and heat exchanger performance monitoring.
APA, Harvard, Vancouver, ISO, and other styles
10

Kim, Miok, and Nam Ling. "Object boundary-based synthesized view distortion estimation." In 2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA). IEEE, 2015. http://dx.doi.org/10.1109/iciea.2015.7334429.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Boundary estimation"

1

Nikoukhah, Ramine, Milton B. Adams, Alan S. Willsky, and Bernard C. Levy. Estimation for Boundary-Value Descriptor Systems. Fort Belvoir, VA: Defense Technical Information Center, August 1986. http://dx.doi.org/10.21236/ada458119.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Nikoukhah, Ramine, Milton B. Adams, Alan S. Willsky, and Bernard C. Levy. Estimation for Boundary-Value Descriptor Systems. Fort Belvoir, VA: Defense Technical Information Center, July 1988. http://dx.doi.org/10.21236/ada458132.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Pilchak, Adam L., Reji John, Robert A. Brockman, III Porter, and W. J. Estimation of Grain Boundary Diffusivity in Near-Alpha Titanium Polycrystals (Preprint). Fort Belvoir, VA: Defense Technical Information Center, October 2011. http://dx.doi.org/10.21236/ada553359.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

McLaughlin, David J. UMass Participation in Air-Sea Flux Estimation in High Wind Boundary Layers. Fort Belvoir, VA: Defense Technical Information Center, August 2001. http://dx.doi.org/10.21236/ada625696.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

McLaughlin, David J. UMass Participation in Air-Sea Flux Estimation in High Wind Boundary Layers. Fort Belvoir, VA: Defense Technical Information Center, September 2002. http://dx.doi.org/10.21236/ada627311.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Delle Monahce, Luca, Andrew Clifton, Joshua Hacker, Branko Kosovic, Jared Lee, Francois Vanderberghe, Yonghui Wu, Sam Hawkins, and Jesper Nissen. Investigating Marine Boundary Layer Parameterizations by Combining Observations with Models via State Estimation. Office of Scientific and Technical Information (OSTI), June 2015. http://dx.doi.org/10.2172/1325248.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Fullerton, Jacob, and William Nichols. Application of the Recharge Estimation Tool (RET) to Prepare Spatially and Temporally Variable Recharge Boundary Conditions for Hanford Site Composite Analysis Vadose Zone Models. Office of Scientific and Technical Information (OSTI), July 2020. http://dx.doi.org/10.2172/1643127.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Chien, Stanley, Yaobin Chen, Lauren Christopher, Mei Qiu, and Zhengming Ding. Road Condition Detection and Classification from Existing CCTV Feed. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317364.

Full text
Abstract:
The Indiana Department of Transportation (INDOT) has approximately 500 digital cameras along highways in populated areas of Indiana. These cameras are used to monitor traffic conditions around the clock, all year round. Currently, the videos from these cameras are observed one-by-one by human operators looking for traffic conditions and incidents. The main objective of this research was to develop an automatic, real-time system to monitor traffic conditions and detect incidents automatically. The Transportation and Autonomous Systems Institute (TASI) of the Purdue School of Engineering and Technology at Indiana University-Purdue University Indianapolis (IUPUI) and the Traffic Management Center of INDOT developed a system that monitors the traffic conditions based on the INDOT CCTV video feeds. The proposed system performs traffic flow estimation, incident detection, and classification of vehicles involved in an incident. The research team designed the system, including the hardware and software components added to the existing INDOT CCTV system; the relationship between the added system and the currently existing INDOT system; the database structure for traffic data extracted from the videos; and a user-friendly, web-based server for showing the incident locations automatically. The specific work in this project includes vehicle-detection, road boundary detection, lane detection, vehicle count over time, flow-rate detection, traffic condition detection, database development, web-based graphical user interface (GUI), and a hardware specification study. The preliminary prototype of some system components has been implemented in the Development of Automated Incident Detection System Using Existing ATMS CCT (SPR-4305).
APA, Harvard, Vancouver, ISO, and other styles
9

Scire, J. S., and S. R. Hanna. An Atmospheric Boundary Layer Stability Estimator for Urban Areas. SBIR Phase 1 Feasibility Study. Fort Belvoir, VA: Defense Technical Information Center, December 1992. http://dx.doi.org/10.21236/ada265189.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Chien, Stanley, Lauren Christopher, Yaobin Chen, Mei Qiu, and Wei Lin. Integration of Lane-Specific Traffic Data Generated from Real-Time CCTV Videos into INDOT's Traffic Management System. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317400.

Full text
Abstract:
The Indiana Department of Transportation (INDOT) uses about 600 digital cameras along populated Indiana highways in order to monitor highway traffic conditions. The videos from these cameras are currently observed by human operators looking for traffic conditions and incidents. However, it is time-consuming for the operators to scan through all video data from all the cameras in real-time. The main objective of this research was to develop an automatic and real-time system and implement the system at INDOT to monitor traffic conditions and detect incidents automatically. The Transportation and Autonomous Systems Institute (TASI) of the Purdue School of Engineering and Technology at Indiana University-Purdue University Indianapolis (IUPUI) and the INDOT Traffic Management Center have worked together to research and develop a system that monitors the traffic conditions based on the INDOT CCTV video feeds. The proposed system performs traffic flow estimation, incident detection, and the classification of vehicles involved in an incident. The goal was to develop a system and prepare for future implementation. The research team designed the new system, in­cluding the hardware and software components, the currently existing INDOT CCTV system, the database structure for traffic data extracted from the videos, and a user-friendly web-based server for identifying individual lanes on the highway and showing vehicle flowrates of each lane automatically. The preliminary prototype of some system components was implemented in the 2018–2019 JTRP projects, which provided the feasibility and structure of the automatic traffic status extraction from the video feeds. The 2019–2021 JTRP project focused on developing and improving many features’ functionality and computation speed to make the program run in real-time. The specific work in this 2021–2022 JTRP project is to improve the system further and implement it on INDOT’s premises. The system has the following features: vehicle-detection, road boundary detection, lane detection, vehicle count and flowrate detection, traffic condition detection, database development, web-based graphical user interface (GUI), and a hardware specification study. The research team has installed the system on one computer in INDOT for daily road traffic monitoring operations.
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Boundary estimation' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography