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Relevant bibliographies by topics / Force histogram

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Journal articles

Academic literature on the topic 'Force histogram'

Author: Grafiati

Published: 25 May 2024

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Journal articles on the topic "Force histogram"

1

Xue, Hao, and Hong Jun Fu. "Characterization of the Interphase in Carbon Fiber/Epoxy Composites Using Force Modulation Atomic Force Microscope." Advanced Materials Research 602-604 (December 2012): 53–56. http://dx.doi.org/10.4028/www.scientific.net/amr.602-604.53.

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In order to describe directly interphase properties of composite, force modulation of atomic force microscopy is adopted to study the cross-section of unidirectional carbon fiber/epoxy composites systematically. Research results indicate that in force modulation mode of AFM, relative stiffness of various phases distinct in distribution, which is described by probability histogram of relative stiffness. By comparison of probability histogram of relative stiffness nearby interphase of untreated and oxidation treated by ozone composites, the relative stiffness change oxidation treated one was mor

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2

Lelièvre, Tony, Lise Maurin, and Pierre Monmarché. "The adaptive biasing force algorithm with non-conservative forces and related topics." ESAIM: Mathematical Modelling and Numerical Analysis 56, no. 2 (2022): 529–64. http://dx.doi.org/10.1051/m2an/2022010.

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We propose a study of the Adaptive Biasing Force method’s robustness under generic (possibly non-conservative) forces. We first ensure the flat histogram property is satisfied in all cases. We then introduce a fixed point problem yielding the existence of a stationary state for both the Adaptive Biasing Force and Projected Adapted Biasing Force algorithms, relying on generic bounds on the invariant probability measures of homogeneous diffusions. Using classical entropy techniques, we prove the exponential convergence of both biasing force and law as time goes to infinity, for both the Adaptive

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3

Yang, Guifeng, Jiulun Fan, and Dong Wang. "Recursive Algorithms of Maximum Entropy Thresholding on Circular Histogram." Mathematical Problems in Engineering 2021 (March 24, 2021): 1–13. http://dx.doi.org/10.1155/2021/6653031.

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Circular histogram thresholding is a novel color image segmentation method, which makes full use of the hue component color information of the image, so that the desired target can be better separated from the background. Maximum entropy thresholding on circular histogram is one of the exist circular histogram thresholding methods. However, this method needs to search for a pair of optimal thresholds on the circular histogram of two-class thresholding in an exhaustive way, and its running time is even longer than that of the existing circular histogram thresholding based on the Otsu criteria,

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4

Chapple, William D. "Regulation of Muscle Stiffness During Periodic Length Changes in the Isolated Abdomen of the Hermit Crab." Journal of Neurophysiology 78, no. 3 (1997): 1491–503. http://dx.doi.org/10.1152/jn.1997.78.3.1491.

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Chapple, William. Regulation of muscle stiffness during periodic length changes in the isolated abdomen of the hermit crab. J. Neurophysiol. 78: 1491–1503, 1997. Reflex activation of the ventral superficial muscles (VSM) in the abdomen of the hermit crab, Pagurus pollicarus, was studied using sinusoidal and stochastic longitudinal vibration of the muscle while recording the length and force of the muscle and the spike times of three exciter motoneurons. In the absence of vibration, the interspike interval histograms of the two larger motoneurons were bimodal; cutting sensory nerves containing

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5

Janosi, Lorant, and Manolis Doxastakis. "Accelerating flat-histogram methods for potential of mean force calculations." Journal of Chemical Physics 131, no. 5 (2009): 054105. http://dx.doi.org/10.1063/1.3183165.

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6

Chirico, Giuseppe. "Effect of a trapping force on a photon-counting histogram." Applied Optics 41, no. 4 (2002): 593. http://dx.doi.org/10.1364/ao.41.000593.

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7

Stevens, Forrest, Yu-Shiu Lo, Joel M. Harris, and Thomas P. Beebe. "Computer Modeling of Atomic Force Microscopy Force Measurements: Comparisons of Poisson, Histogram, and Continuum Methods." Langmuir 15, no. 1 (1999): 207–13. http://dx.doi.org/10.1021/la980683k.

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8

Jun, Zhang, Chang Qingbing, and Ren Zongjin. "Research on a non-linear calibration method for dynamometer." Sensor Review 40, no. 2 (2020): 167–73. http://dx.doi.org/10.1108/sr-07-2019-0181.

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Purpose The purpose of this paper is to solve the problem that the relationship between loading forces, which were applied at different positions on a plane, and output values of load-sharing dynamometer is non-linear. Design/methodology/approach First, the analytical model of ISPM (isodynamic surface proportional mapping method) method, which is used to calibrate dynamometer, was established. Then, a series of axial force calibration tests were performed on a load-sharing dynamometer at different loading positions. Finally, according to output values, calibration forces at different loading p

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9

Songneam, Nattapong. "Thai Sign Language Image Recognition for the Hearing-Impaired using Radial Inverse Force Histogram combined with Max-Min Boundary." International Journal of Engineering and Advanced Technology 10, no. 5 (2021): 422–33. http://dx.doi.org/10.35940/ijeat.e2868.0610521.

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Sign language image recognition is also a very interesting research topic. Because it can be applied to help normal people understand and use it as a communication tool for the hearing impaired. The objectives of this research were to: 1) study and analyze Thai Sign Language image recognition image data for hearing impaired, 2) develop Thai Sign Language image recognition system for hearing impaired by using new techniques, and 3) measure the efficiency of Thai sign language image recognition for hearing impaired using Radial Inverse Force Histogram and the Maximum and Minimum boundary values.

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10

Tabbone, Salvatore, and Laurent Wendling. "Color and grey level object retrieval using a 3D representation of force histogram." Image and Vision Computing 21, no. 6 (2003): 483–95. http://dx.doi.org/10.1016/s0262-8856(03)00016-7.

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