Relevant bibliographies by topics / Area Fitting Method

Contents

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

Academic literature on the topic 'Area Fitting Method'

Author: Grafiati
Published: 4 June 2021
Last updated: 13 February 2022

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Journal articles on the topic "Area Fitting Method"

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Wang, Chang. "Research on GPS Height Partition Fitting Method." Applied Mechanics and Materials 580-583 (July 2014): 2860–64. http://dx.doi.org/10.4028/www.scientific.net/amm.580-583.2860.

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In Diaobingshan area, Use 76 data points (geodetic height and normal height are known) as experimental data, the quadric surface fitting mean square error as GPS height partition fitting basis in the area. In 76 data points, some data points which GPS height fitting residual value is less than the quadric surface fitting mean square error in a region, other points which GPS height fitting residual value is more than the quadric surface fitting mean square error in a region, in the same time, individual regions (data points is less) use mobile triangle method to establish GPS height the fitting
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Peterson, T. Y., and K. A. Stelson. "The Area-Coarea Method for the Estimation of Power-Law Constitutive Parameters." Journal of Engineering for Industry 111, no. 3 (1989): 295–97. http://dx.doi.org/10.1115/1.3188763.

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A new method for estimating the power-law constitutive parameters from experimental data is presented. The algorithm is well suited to real time computation because the integrals employed can be continuously updated with new data. The method requires less computation than least squares fitting and avoids the problem of excessive weight being put on low amplitude data that is present in logarithmic least squares fitting. Because the method employs integrals, it smooths noise in the data. The method can also be extended to linear plus power-law fitting.
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Liu, Mao Hua, Xiao Yin, and Xui Bo Sun. "GPS Level Fitting Algorithm." Applied Mechanics and Materials 204-208 (October 2012): 2783–86. http://dx.doi.org/10.4028/www.scientific.net/amm.204-208.2783.

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The paper elaborates the principle of the GPS leveling and conventional secondary surface fitting method. It introduces dynamic weighted fitting method and MATLAB V4 interpolation fitting method. Finally, using an example, the paper makes the comparison and gets some practical significance conclusions: conventional secondary surface fitting method can be used if the area is small and its terrain is simple; the area's terrain is flat, it can use V4 interpolation and When the area's terrain is fluctuated, it can use dynamic weighted fitting method.
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Yuan, Xiang Rong. "2-Dimension Polynomial Fitting for the Edge Detection." Applied Mechanics and Materials 389 (August 2013): 969–73. http://dx.doi.org/10.4028/www.scientific.net/amm.389.969.

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The gray-scale digital image is two-dimension, most of the previous polynomial fitting methods for edge detection belong to one-dimension methods. The new method of two-dimension polynomial fitting for edge detection is presented. The grey level data of the interest area around the edge in the image are fitted by the two-dimension polynomial function. The edge of interest is identified by finding the maximum of the form of gradient of the fitting function. Because the two-dimension fitting is actually more suitable for the two-dimension image, the fitting results of two dimension method are si
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Wang, Tao, Xin Chen, Chang Tan, and Hao Fu. "Localization of Substation Fittings Based on a Stereo Vision Method." Journal of Advanced Computational Intelligence and Intelligent Informatics 22, no. 6 (2018): 861–68. http://dx.doi.org/10.20965/jaciii.2018.p0861.

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We propose a novel stereo vision method based on a fast template matching strategy to improve localization accuracy and efficiency of substation fittings. First, considering the salient features of the substation fittings that can be recognized easily, the method searches for features that are similar to the ones in the matching template related to the sub-image of the substation fittings from the global image. When the substation fittings are confirmed, the method repeatedly searches for the one of screw holes in the local region of the substation fittings. It then computes the centering coor
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Shi, Ping, Zhang Hua Chen, and Hong Guang Ji. "A New Method for Analysis on Geo-Stress Field Fitting." Advanced Materials Research 838-841 (November 2013): 2267–74. http://dx.doi.org/10.4028/www.scientific.net/amr.838-841.2267.

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Geo-stresses distribution of mining areas was analyzed by means of the partial least squares regression method (PLSRM). Based on the data measured in Wushaoling tunnel ridge section, numerical simulation of initial geo-stress field around the area had been done using the commercial software called ANSYS. PLSRM was achieved through actual measurement data and calculation results of geo-stress, then fitting data was ready. Compared with the traditional method of least squares, it is suggested that, due to the advantage of principal component analysis in applying PLSRM, present method can effecti
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Chen, Zhong Qing, Yi Fei Wang, Yi Sheng Zhu, Zong Hang Xu, and Kai Ping Song. "An Identification Method for Joint Parameters Based on Finite Element." Advanced Materials Research 690-693 (May 2013): 2866–71. http://dx.doi.org/10.4028/www.scientific.net/amr.690-693.2866.

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Aiming to solve the problem of joint surface stiffiness identification,this paper presents a finite element identification method. The method based on finite element simulation and the curve fitting principles, fitting out a curve that closed to simulation results. It can identify the joint surface stifiness effectively and rapidly based on curve fitting of simulation data in sensitivity area. This method avoid the transfer function matrix difficult to test and reverse solve problem. Comparing the results of the proposed method with the substructure synthesis method, it is shown that finite el
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Xu, Jingwei, Wei Hou, Shoucheng Luan, Shuting Mao, Guowei Liu, and Pengfei Ma. "Extended Peridynamics and Parameter Optimization Study Based on Moving Least Squares Method." Mathematical Problems in Engineering 2021 (March 1, 2021): 1–12. http://dx.doi.org/10.1155/2021/2595170.

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Based on the theory of peridynamics, the least squares and the moving least squares method are proposed to fit the physical information at nondiscrete points. It makes up for the shortcomings of the peridynamic method that only solves the discrete nodes and cannot obtain the physical information of other blank areas. The extended method is used to fit the one-way vibration problem of the rod, and the curve of the displacement of a nondiscrete node in the rod is extracted with time. The fitted displacement results are compared with the theoretical results to verify the feasibility of the fittin
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Mao, Ya Chun, Xiang Huang, Jun Yu Chen, Qun He, and Hong Bin Ma. "Research on the Method of GPS Height Conversion Based on Terrain Correction." Applied Mechanics and Materials 427-429 (September 2013): 1957–62. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.1957.

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In this paper, through the surface of polynomial fitting precision analysis, obtains fitting after converting precision for normal height is mainly affected by the rate of change vertical deflection and higher order termsalso influenced by local terrain correction. The undulating topography is deduced and the calculation formula of cause height anomaly, this method is applicable to the complex terrain of area, will dividend increase formula one of the smaller constant, the calculating process of the intermediate results are returning to normal range, effectively avoid the central region of the
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Yu, Jingbo, and Zhong Li. "An improved cylindrical surface fitting-related method for fault characterization." GEOPHYSICS 82, no. 1 (2017): O1—O10. http://dx.doi.org/10.1190/geo2016-0036.1.

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On the basis of the similarity of seismic waveforms and shapes of the reflectors, the coherence and curvature attributes can be derived, respectively, to characterize faults. Coherence is effective for characterizing relatively large faults. When the distortion of seismic waveforms at a fault is not obvious, the curvature attribute may play a complementary role in detecting the fault. According to geometric features of the faulted strata, the rate of change of curvature has recently been developed to improve fault characterization. Through an application to the real seismic data from the weste
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Dissertations / Theses on the topic "Area Fitting Method"

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Huang, Chun-Jia, and 黃春嘉. "A Study of Fitting Local Geoid Model by Weighted Total Least Squares Method-A Case Study of Taichung Area." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/x6k62s.

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碩士<br>國立中興大學<br>土木工程學系所<br>104<br>The aim of the study is to explore how to use the measurements of GPS to obtain the elevation precision that meets the engineering specifications.In this study, we adopt the orthometric heights of first-order leveling data and the ellipsoidal heights that are measured by GPS to fit the local geoid model. Traditionally, the fitting method adopts surface curve fitting method is calculated by least-squares to get the geoid value. Nevertheless, least-squares method can’t deal with the problems which exist in random errors of data in coefficient matrix. Thus, the p
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Yeh, Han-Chun, and 葉漢軍. "A Study of Fitting Local Geoid Model by Robust Weighted Total Least Squares Method -A Case Study of Taichung Area." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/48876762392689670067.

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碩士<br>國立中興大學<br>土木工程學系所<br>105<br>The objective of this study involved using global navigation satellite system (GNSS) data to achieve reasonable point height accuracy. In this study, the orthometric heights of benchmarks were obtained from first order leveling of Taichung city and GNSS measurements of ellipsoid heights underwent fitting. A traditional fitting method was adopted, in which geoid height was built using generalized least squares combined with a curved surface fitting method. However, because generalized least square calculations do not take into consideration random errors that e
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Raad, Nour. "NaV1.5 Modulation: From Ionic Channels to Cardiac Conduction and Substrate Heterogeneity." Doctoral thesis, 2014. http://hdl.handle.net/11858/00-1735-0000-0022-5E72-F.

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Books on the topic "Area Fitting Method"

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Chance, Kelly, and Randall V. Martin. Data Fitting. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199662104.003.0011.

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This chapter explores several of the most common and useful approaches to atmospheric data fitting as well as the process of using air mass factors to produce vertical atmospheric column abundances from line-of-sight slant columns determined by data fitting. An atmospheric spectrum or other type of atmospheric sounding is usually fitted to a parameterized physical model by minimizing a cost function, usually chi-squared. Linear fitting, when the model of the measurements is linear in the model parameters is described, followed by the more common nonlinear fitting case. For nonlinear fitting, t
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Cheng, Russell. Finite Mixture Models. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198505044.003.0017.

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Fitting a finite mixture model when the number of components, k, is unknown can be carried out using the maximum likelihood (ML) method though it is non-standard. Two well-known Bayesian Markov chain Monte Carlo (MCMC) methods are reviewed and compared with ML: the reversible jump method and one using an approximating Dirichlet process. Another Bayesian method, to be called MAPIS, is examined that first obtains point estimates for the component parameters by the maximum a posteriori method for different k and then estimates posterior distributions, including that for k, using importance sampli
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Cheng, Russell. Introduction. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198505044.003.0001.

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This chapter provides an overview of the book. The book investigates non-standard parametric, mainly continuous univariate estimation problems. The basic difference between standard and non-standard problems is explained in this chapter. The book considers different non-standard problems that can arise. Though some of the problems are advanced, a strong emphasis is placed on providing statistical methods to analyse them that are simple to understand and implement. Maximum likelihood (ML) estimation is the main method used to estimate parameters when fitting parametric models. This chapter outl
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Witkov, Carey, and Keith Zengel. Chi-Squared Data Analysis and Model Testing for Beginners. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198847144.001.0001.

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This book is the first to make chi-squared model testing, one of the data analysis methods used to discover the Higgs boson and gravitational waves, accessible to undergraduate students in introductory physics laboratory courses. By including uncertainties in the curve fitting, chi-squared data analysis improves on the centuries old ordinary least squares and linear regression methods and combines best fit parameter estimation and model testing in one method. A toolkit of essential statistical and experimental concepts is developed from the ground up with novel features to interest even those
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Cheng, Russell. Bootstrapping Linear Models. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198505044.003.0016.

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Bootstrap model selection is proposed for the difficult problem of selecting important factors in non-orthogonal linear models when the number of factors, P, is large. In the method, the full model is first fitted to the original data. Then B parametric bootstrap samples are drawn from the fitted model, and the full model fitted to each. A submodel is obtained from each fitted full model by rejecting those factors found unimportant in the fit. Each distinct selected submodel is then fitted to the original data and its Mallows Cp statistic calculated. A subset of good submodels based on the Cp
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Cheng, Russell. Nested Nonlinear Regression Models. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198505044.003.0015.

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Stepwise fitting of nonlinear nested regression models is considered in this chapter. The forward stepwise method of linear model building is used as far as possible. With linear models this is straightforward as there is in principle a free choice of the order that individual terms or factors are selected for inclusion. The only real issue is that sufficient submodels are examined to ensure that those finally selected really are amongst the best. The nonlinear case is not so straightforward, as embeddedness and parameter indeterminacy issues impose restrictions on the order in which steps can
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Mills, M. G. L., and M. E. J. Mills. Introduction. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198712145.003.0001.

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Most cheetah studies have been confined to mesic savannahs, yet much of its distribution range covers arid systems. The prime objective in this study was to examine the species’ adaptations to an arid region, to compare the results with those from other cheetah studies, especially from the Serengeti, and to analyse the data within the framework of carnivore population and behavioural ecology. The study was conducted in the Kgalagadi Transfrontier Park South Africa/Botswana, an area receiving 180–250 mm rainfall per year. Tracking spoor with the help of Bushmen trackers and continuous follows o
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Cheng, Russell. Non-Standard Parametric Statistical Inference. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198505044.001.0001.

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This book discusses the fitting of parametric statistical models to data samples. Emphasis is placed on (i) how to recognize situations where the problem is non-standard, when parameter estimates behave unusually, and (ii) the use of parametric bootstrap resampling methods in analysing such problems. Simple and practical model building is an underlying theme. A frequentist viewpoint based on likelihood is adopted, for which there is a well-established and very practical theory. The standard situation is where certain widely applicable regularity conditions hold. However, there are many apparen
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Book chapters on the topic "Area Fitting Method"

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Frühwirth, Rudolf, and Are Strandlie. "Vertex Fitting." In Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-65771-0_8.

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AbstractThe methods used for vertex fitting are closely related to the ones used in track fitting. The chapter describes least-squares estimators as well as robust and adaptive estimators. Furthermore, it is shown how the vertex fit can be extended to a kinematic fit by imposing additional constraints on the tracks participating in the fit.
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Periquito, João S., Ludger Starke, Carlota M. Santos, et al. "Analysis Protocols for MRI Mapping of the Blood Oxygenation–Sensitive Parameters T2* and T2 in the Kidney." In Methods in Molecular Biology. Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-0978-1_36.

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AbstractRenal hypoxia is generally accepted as a key pathophysiologic event in acute kidney injury of various origins and has also been suggested to play a role in the development of chronic kidney disease. Here we describe step-by-step data analysis protocols for MRI monitoring of renal oxygenation in rodents via the deoxyhemoglobin concentration sensitive MR parameters T2* and T2—a contrast mechanism known as the blood oxygenation level dependent (BOLD) effect.This chapter describes how to use the analysis tools provided by vendors of animal and clinical MR systems, as well as how to develop an analysis software. Aspects covered are: data quality checks, data exclusion, model fitting, fitting algorithm, starting values, effects of multiecho imaging, and result validation.This chapter is based upon work from the PARENCHIMA COST Action, a community-driven network funded by the European Cooperation in Science and Technology (COST) program of the European Union, which aims to improve the reproducibility and standardization of renal MRI biomarkers. This experimental protocol chapter is complemented by two separate chapters describing the basic concept and data analysis.
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Garteiser, Philippe, Gwenaël Pagé, Sabrina Doblas, et al. "Analysis Protocols for MRI Mapping of Renal T1." In Methods in Molecular Biology. Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-0978-1_35.

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AbstractThe computation of T1 maps from MR datasets represents an important step toward the precise characterization of kidney disease models in small animals. Here the main strategies to analyze renal T1 mapping datasets derived from small rodents are presented. Suggestions are provided with respect to essential software requirements, and advice is provided as to how dataset completeness and quality may be evaluated. The various fitting models applicable to T1 mapping are presented and discussed. Finally, some methods are proposed for validating the obtained results.This chapter is based upon work from the COST Action PARENCHIMA, a community-driven network funded by the European Cooperation in Science and Technology (COST) program of the European Union, which aims to improve the reproducibility and standardization of renal MRI biomarkers. This analysis protocol chapter is complemented by two separate chapters describing the basic concept and experimental procedure.
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Chuang, Kai-Hsiang, Frank Kober, and Min-Chi Ku. "Quantitative Analysis of Renal Perfusion by Arterial Spin Labeling." In Methods in Molecular Biology. Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-0978-1_39.

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AbstractThe signal intensity differences measured by an arterial-spin-labelling (ASL) magnetic resonance imaging (MRI) experiment are proportional to the local perfusion, which can be quantified with kinetic modeling. Here we present a step-by-step tutorial for the data post-processing needed to calculate an ASL perfusion map. The process of developing an analysis software is described with the essential program code, which involves nonlinear fitting a tracer kinetic model to the ASL data. Key parameters for the quantification are the arterial transit time (ATT), which is the time the labeled blood takes to flow from the labeling area to the tissue, and the tissue T1. As ATT varies with vasculature, physiology, anesthesia and pathology, it is recommended to measure it using multiple delay times. The tutorial explains how to analyze ASL data with multiple delay times and a T1 map for quantification.This chapter is based upon work from the COST Action PARENCHIMA, a community-driven network funded by the European Cooperation in Science and Technology (COST) program of the European Union, which aims to improve the reproducibility and standardization of renal MRI biomarkers. This analysis protocol chapter is complemented by two separate chapters describing the basic concept and experimental procedure.
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Jerome, Neil Peter, and João S. Periquito. "Analysis of Renal Diffusion-Weighted Imaging (DWI) Using Apparent Diffusion Coefficient (ADC) and Intravoxel Incoherent Motion (IVIM) Models." In Methods in Molecular Biology. Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-0978-1_37.

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AbstractAnalysis of renal diffusion-weighted imaging (DWI) data to derive markers of tissue properties requires careful consideration of the type, extent, and limitations of the acquired data. Alongside data quality and general suitability for quantitative analysis, choice of diffusion model, fitting algorithm, and processing steps can have consequences for the precision, accuracy, and reliability of derived diffusion parameters. Here we introduce and discuss important steps for diffusion-weighted image processing, and in particular give example analysis protocols and pseudo-code for analysis using the apparent diffusion coefficient (ADC) and intravoxel incoherent motion (IVIM) models. Following an overview of general principles, we provide details of optional steps, and steps for validation of results. Illustrative examples are provided, together with extensive notes discussing wider context of individual steps, and notes on potential pitfalls.This publication is based upon work from the COST Action PARENCHIMA, a community-driven network funded by the European Cooperation in Science and Technology (COST) program of the European Union, which aims to improve the reproducibility and standardization of renal MRI biomarkers. This analysis protocol chapter is complemented by two separate chapters describing the basic concepts and experimental procedure.
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Garrett, Steven L. "Comfort for the Computationally Crippled." In Understanding Acoustics. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44787-8_1.

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Abstract The difference between engineering and science, and all other human activity, is the fact that engineers and scientists make quantitative predictions about measurable outcomes and can specify their uncertainty in such predictions. Because those predictions are quantitative, they must employ mathematics. This chapter is intended as review of some of the more useful mathematical concepts, strategies, and techniques that are employed in the description of vibrational and acoustical systems and in the calculation of their behavior. Topics in this review include techniques such as Taylor series expansions, integration by parts, and logarithmic differentiation. Equilibrium and stability considerations lead to relations between potential energies and forces. The concept of linearity leads to superposition and Fourier analysis. Complex numbers and phasors are introduced along with the techniques for their algebraic manipulation. The discussion of physical units is extended to include their use for predicting functional dependencies of resonance frequencies, quality factors, propagation speeds, flow noise, and other system behaviors using similitude and the Buckingham Π-theorem to form dimensionless variables. Linearized least-squares fitting is introduced as a method for extraction of experimental parameters and their uncertainties and error propagation is presented to allow those uncertainties to be combined.
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Silveira, Sofia A. M., Joelma Choma, Roberto Pereira, Eduardo M. Guerra, and Luciana A. M. Zaina. "UX Work in Software Start-Ups: Challenges from the Current State of Practice." In Lecture Notes in Business Information Processing. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78098-2_2.

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AbstractSoftware start-ups develop innovative software products working with disruptive technologies in time pressure and market-driven environment. Recently, User eXperience (UX) has become a hot topic that interests software teams of start-ups. However, software and UX professionals have struggled to match UX practices into the development activities, partially because of the lack of resources in the start-ups. This paper investigates how software start-ups handle UX activities during software development and how relevant UX is to these companies’ professionals. To achieve our aim, we surveyed 88 professionals who take part in software teams in star-ups, analyzing the responses using descriptive and statistical methods. Our results reveal that regardless of having or not a UX position in the start-up, UX practices are spread in different software development phases and not fitting into them. Results also show although professionals consider UX relevant and recognize important skills to perform UX activities, some obstacles hinder the effective use of UX in software start-ups. From the survey results, we identified a set of challenges to be overcome in consolidating the UX work in software start-ups. By diagnosing the UX state-of-practice in start-up scenarios and identifying such challenges, our work contributes to provides relevant insights to further academic and practical studies in this field.
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Vannucci, Giulia, Anna Gottard, Leonardo Grilli, and Carla Rampichini. "Random effects regression trees for the analysis of INVALSI data." In Proceedings e report. Firenze University Press, 2021. http://dx.doi.org/10.36253/978-88-5518-304-8.07.

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Mixed or multilevel models exploit random effects to deal with hierarchical data, where statistical units are clustered in groups and cannot be assumed as independent. Sometimes, the assumption of linear dependence of a response on a set of explanatory variables is not plausible, and model specification becomes a challenging task. Regression trees can be helpful to capture non-linear effects of the predictors. This method was extended to clustered data by modelling the fixed effects with a decision tree while accounting for the random effects with a linear mixed model in a separate step (Hajjem &amp; Larocque, 2011; Sela &amp; Simonoff, 2012). Random effect regression trees are shown to be less sensitive to parametric assumptions and provide improved predictive power compared to linear models with random effects and regression trees without random effects. We propose a new random effect model, called Tree embedded linear mixed model, where the regression function is piecewise-linear, consisting in the sum of a tree component and a linear component. This model can deal with both non-linear and interaction effects and cluster mean dependencies. The proposal is the mixed effect version of the semi-linear regression trees (Vannucci, 2019; Vannucci &amp; Gottard, 2019). Model fitting is obtained by an iterative two-stage estimation procedure, where both the fixed and the random effects are jointly estimated. The proposed model allows a decomposition of the effect of a given predictor within and between clusters. We will show via a simulation study and an application to INVALSI data that these extensions improve the predictive performance of the model in the presence of quasi-linear relationships, avoiding overfitting, and facilitating interpretability.
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Atak, Ahmet. "How Impact the Design of Aluminum Swaging Circle Fitting on the Sealing for Piping Systems: Analytical and Numerical Model." In Aluminium Alloys - Design and Development of Innovative Alloys, Manufacturing Processes and Applications [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.99938.

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Installation and repair of hydraulic installations are carried out by joining the pipes in the field. Pipe connections in aviation are made in a very narrow space and field. For this reason, fitting swaging method is used to connect the fittings to the pipes with a hydraulic hand tool. The basis for developing a swaging tool is knowledge of the design parameters for the plastic deformation of the swaging circle fitting. In addition to the design parameter, pipes have to be joined in cryogenic vacuum conditions, which require sealing in such sensitive and harsh conditions. In this study, the effect of swaged circle fitting designs on tightness and strength was determined and different swaging methods were examined for its improvement. Different geometric swaged circle fittings are designed and analytical and numerical models are solved. The solution results obtained show the characteristic effect of the fitting swaging analysis methodology and the swaged circle fitting design on the sealing of the pipe joint. The innovation is mainly the effect of the swaging circle connection design on the sealing of the pipe joint. With the finding in this work, it is now possible to develop or develop new tools for engineered swaging circle fitting.
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Yıldırım, Şahin, and Sertaç Savaş. "A Proposed Trajectory Planning Algorithm for Mobile Robot Navigation Based on A* Algorithm." In Handbook of Research on Advanced Mechatronic Systems and Intelligent Robotics. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0137-5.ch015.

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This chapter proposes a new trajectory planning approach by improving A* algorithm, which is a widely-used, path-planning algorithm. This algorithm is a heuristic method used in maps such as the occupancy grid map. As the resolution increases in these maps, obstacles can be defined more precisely. However, the cell/grid size must be larger than the size of the mobile robot to prevent the robot from crashing into the borders of the working environment or obstacles. The second constraint of the algorithm is that it does not provide continuous headings. In this study, an avoidance area is calculated on the map for the mobile robot to avoid collisions. Then curve-fitting methods, general polynomial and b-spline, are applied to the path calculated by traditional A* algorithm to obtain smooth rotations and continuous headings by staying faithful to the original path calculated. Performance of the proposed trajectory planning method is compared to others for different target points on the grid map by using a software developed in Labview Environment.
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Conference papers on the topic "Area Fitting Method"

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Yang, Cheng, and Yong Xue. "Level set segmentation method based on local area fitting information and guided filter fuzzy clustering." In 2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC). IEEE, 2021. http://dx.doi.org/10.1109/imcec51613.2021.9482136.

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Ishimura, Mitsutoshi, Masahide Katsuo, Toshiyuki Sawa, and Masamichi Serizawa. "Finite Element Stress Analysis and Evaluation of the Sealing Performance in Pipe Fittings With Adhesive for Threaded Connections Under Internal Pressure and Bending Moment." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-80659.

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In practice, PTFE tape is being used for sealing of a pipe fitting. However, the efficiency, the decrease in work time, and the sealing performance can be improved by using adhesive instead of the tape. When such a pipe fitting is under an internal pressure and external bending moment by an internal fluid and others, however, an influence in the sealing performance is taken by how to use an adhesion. This study deals with the stress analysis and the evaluation of the sealing performance of the pipe fitting with an adhesive under an internal pressure and an external bending moment analyzed by u
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Wilkowski, Gery M., and Do-Jun Shim. "Specifying Material Toughness to Avoid Brittle Fracture Initiation in Pipe Fittings and Components." In 2012 9th International Pipeline Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/ipc2012-90549.

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Recently, there have been a few failures with brittle fractures occurring during hydrostatic or pneumatic proof testing in pipe fittings that rekindled the need for paying attention on how to specify the toughness for pipe fittings and other components such as valves. This paper shows how an analysis procedure called the “Master Curve of Fracture Transition Temperatures” can be used to specify a Charpy shear area percent at some target temperature so that ductile initiation behavior occurs for either a surface or through-wall cracks in fittings, components or pipe material at the minimum desig
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Zhu, Yifei, Shixiao Fu, and Jianqiao Wu. "The Analysis of the Extrapolation Method Used in Typical Structures of Jacket Platforms." In ASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/omae2015-41553.

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Acquiring the hot spot stress (HSS) in dangerous points of the structure (normally the welding seams of the structure) is the foundation of the offshore platform fatigue strength design. Because of the fact that it is very difficult and unpractical to install sensors in the welding seams, the most widely used method of acquiring the HSS currently is extrapolation, a method that obtains the HSS by extrapolating from stress of distant points. In order to figure out the feasibility of the method of extrapolation as well as the best ways to implement extrapolation in real practice, it is important
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Daaland, Alf, Ragnvald Soldal, Svein Are Loetveit, and Christian Hagemann. "TomX: High-Energy Tomographic X-Ray for In-Service Inspection of Flexible Pipeline Systems." In ASME 2003 22nd International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2003. http://dx.doi.org/10.1115/omae2003-37378.

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The applications of flexible pipes are increasing, and so is the demand for good inspection methods and integrity assessment tools, both from Operators and Authorities. Leakage or damage to the pipe on topsides could lead to an increased safety risk, uncontrolled shutdowns, longer system downtime and major financial loss. For several years, the Norwegian oil company, Statoil, has investigated the feasibility of developing x-ray computed tomography (CT) systems for on-site inspection of flexible pipelines. Special consideration has been given to the end fitting area on topsides. The development
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Luo, Lianzhen, and Meyer Nahon. "Determination of the Interference Geometry Between Two Convex Objects." In ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/detc2006-99616.

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The determination of the interference geometry between two arbitrary objects is an essential problem encountered in the simulation of continuous contact dynamics and haptic interactions. In these applications, with known material properties, the interbody contact force is only a function of the interference geometry between two objects. Here a theoretical basis and algorithms for the calculation of the interference geometry, such as overlap region, contact area and normal, and interference volume, are presented. Two methods to obtain the contact area and normal are analyzed: an area-weighted m
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Wang, Wei-Chih, Ching-Shan Sung, Ya-Hsiu Lin, Haw-Shan Chen, and Jian-Shing Luo. "Leaky Device Channel Anomaly Identification and Case Study by Nano-Probing Technique, Curve Fitting, and Model Analysis." In ISTFA 2012. ASM International, 2012. http://dx.doi.org/10.31399/asm.cp.istfa2012p0118.

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Abstract This paper demonstrated the use of curve fitting method on device transfer characteristic curve for device carrier mobility analysis and failure mechanism verification. In the content, a systematic device characterization was performed to identify device failure mode and failure site. Based on physical observations and electrical results, a device gate oxide boron penetration failure mechanism and an unexpected subtle p-type dopant at p-MOS device channel area was conjectured. However, this unexpected p-type dopant was successfully proved by subsequent carrier mobility analysis result
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Chen, Jun, and Joseph Katz. "Advances of the Correlation Mapping Method to Eliminate the Peak-Locking Effect in PIV Analysis." In ASME 2005 Fluids Engineering Division Summer Meeting. ASMEDC, 2005. http://dx.doi.org/10.1115/fedsm2005-77437.

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The Peak-locking effect causes mean bias in most of the existing correlation based algorithms for PIV data analysis. This phenomenon is inherent to the Sub-pixel Curve Fitting (SPCF) through discrete correlation values, which is used to obtain the sub-pixel part of the displacement. A new technique for obtaining sub-pixel accuracy, the Correlation Mapping Method (CMM), was proposed by Chen &amp; Katz [1, 2]. This new method works effectively and the peak-locking disappears in all the previous test cases, including applying to both synthetic and experimental images. The random errors are also s
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Vermeersch, F. "Technique for Radiological Characterisation and Task Dose Evaluation Based on Gamma Scanning, Work Simulation and 3D Dose Modelling of a Work Site." In ASME 2003 9th International Conference on Radioactive Waste Management and Environmental Remediation. ASMEDC, 2003. http://dx.doi.org/10.1115/icem2003-5011.

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The need exists in the nuclear world to reduce the doses to the workers in radioactive environments be it in routine maintenance or in decommissioning activities. A key factor in satisfying this need is the availability of a fast and adequate characterization and modeling of the work area. In this paper we propose a method to combine gamma and geometrical scanning measurements with the modeling and source fitting capabilities of the VISIPLAN 3D ALARA planning tool to model a nuclear site. The presentation also includes the application of human modeling tools to assess the dose to the worker fo
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Masuda, Hiroshi, Yoshiyuki Furukawa, Yasuhiro Yoshioka, and Hiroyuki Yamato. "Volume-Based Cut-and-Paste Editing for Early Design Phases." In ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/detc2004-57676.

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Since product concepts are frequently changed in the early stage of design, the creation of its rough models is useful for communication among the design team. In this paper, we propose modeling operations based on a volume-based cut-and-paste method for generating rough 3D models using existing 3D models. Cut-and-paste editing extracts a characteristic feature from a source model and copies it to a target model. Our method allows pasting a wide variety of features that may have overhangs and handles, while most existing methods cannot manage such shapes. To realize such a volume-based cut-and
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Reports on the topic "Area Fitting Method"

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Rahmani, Mehran, and Manan Naik. Structural Identification and Damage Detection in Bridges using Wave Method and Uniform Shear Beam Models: A Feasibility Study. Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.1934.

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This report presents a wave method to be used for the structural identification and damage detection of structural components in bridges, e.g., bridge piers. This method has proven to be promising when applied to real structures and large amplitude responses in buildings (e.g., mid-rise and high-rise buildings). This study is the first application of the method to damaged bridge structures. The bridge identification was performed using wave propagation in a simple uniform shear beam model. The method identifies a wave velocity for the structure by fitting an equivalent uniform shear beam model
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Al-Qadi, Imad, Egemen Okte, Aravind Ramakrishnan, Qingwen Zhou, and Watheq Sayeh. Truck Platooning on Flexible Pavements in Illinois. Illinois Center for Transportation, 2021. http://dx.doi.org/10.36501/0197-9191/21-010.

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Truck platoons have many benefits over traditional truck mobility. Truck platoons have the potential to improve safety and reduce fuel consumption between 5% and 15%, based on platoon configuration. In Illinois, trucks carry more than 50% of freight tonnage and constitute 25% of the traffic on interstates. Therefore, expected fuel savings would be significant for trucks. Deployment of truck platoons within interstate highways may have a direct effect on flexible pavement performance, as the time between consecutive axle loads (i.e., resting time) is expected to decrease significantly. Moreover
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