Quantum duck hunt - a computer game

Biswas, Tarun

doi:10.1109/5992.895323

Cited by 8 publications

(9 citation statements)

References 9 publications

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“…where k is the slope of the line, t is the y-intercept, and k and t are undetermined parameters. The least-squares (LS) [18], total-least-squares (TLS) [19], and robust-least-squares (RLS) [20,21] linear fitting methods are three well-developed fitting methods. the LS method is the most commonly used.…”

Section: Linear Fitting Methods For Registration Errormentioning

confidence: 99%

Online Correction Method for the Registration Error between TSMFTIS Detector and Interferogram

Cao

Yuan

et al. 2020

Sensors

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Temporally-spatially modulated Fourier transform imaging spectrometers (TSMFTISs) provide high-throughout-type push-broom spectrometry with both temporal and spatial modulation features. The system requires strict registration between the detector and the interferogram. However, registration errors are unavoidable and directly change the corresponding optical path difference values of the interferogram. As a result, the interferogram should be corrected before restoring the spectrum. In order to obtain the correct optical path difference (OPD) values, an online registration error correction method based on robust least-square linear fitting is presented. The model of the registration error was constructed to analyze its effect on the reconstructed spectra. Fitting methods were used to obtain correct optical path difference information. Simulations based on the proposed method were performed to determine the influence of the registration error on the restored spectra and the effectiveness of the proposed correction method. The simulation results prove that the accuracy of the recovered spectrum can be improved after correcting the interferogram deviation caused by the registration error. The experimental data were also corrected using the proposed methods.

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Section: Linear Fitting Methods For Registration Errormentioning

confidence: 99%

Online Correction Method for the Registration Error between TSMFTIS Detector and Interferogram

Cao

Yuan

et al. 2020

Sensors

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“…Following this, scale invariance is produced by altering each object so that its area (or pixel count for a binary image) is m 00 =β, where β is a predetermined value [22].…”

Section: Major Axismentioning

confidence: 99%

“…3(a-b)). Parabola fitting is performed by linear regression as parabola equation is a linear model [22].…”

Section: Basal Cell Nuclei Segmentationmentioning

confidence: 99%

Computer Vision Approach to Morphometric Feature Analysis of Basal Cell Nuclei for Evaluating Malignant Potentiality of Oral Submucous Fibrosis

Krishnan

Pal²,

Paul³

et al. 2010

J Med Syst

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This research work presents a quantitative approach for analysis of histomorphometric features of the basal cell nuclei in respect to their size, shape and intensity of staining, from surface epithelium of Oral Submucous Fibrosis showing dysplasia (OSFD) to that of the Normal Oral Mucosa (NOM). For all biological activity, the basal cells of the surface epithelium form the proliferative compartment and therefore their morphometric changes will spell the intricate biological behavior pertaining to normal cellular functions as well as in premalignant and malignant status. In view of this, the changes in shape, size and intensity of staining of the nuclei in the basal cell layer of the NOM and OSFD have been studied. Geometric, Zernike moments and Fourier descriptor (FD) based as well as intensity based features are extracted for histomorphometric pattern analysis of the nuclei. All these features are statistically analyzed along with 3D visualization in order to discriminate the groups. Results showed increase in the dimensions (area and perimeter), shape parameters and decreasing mean nuclei intensity of the nuclei in OSFD in respect to NOM. Further, the selected features are fed to the Bayesian classifier to discriminate normal and OSFD. The morphometric and intensity features provide a good sensitivity of 100%, specificity of 98.53% and positive predicative accuracy of 97.35%. This comparative quantitative characterization of basal cell nuclei will be of immense help for oral onco-pathologists, researchers and clinicians to assess the biological behavior of OSFD, specially relating to their premalignant and malignant potentiality. As a future direction more extensive study involving more number of disease subjects is observed.

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“…[2], can be obtained online at http://www.cru.uea.ac.uk/cru/cru.htm. Low order polynomials fits [7,8] suggested an accelerating warming with a monotonically increasing baseline. If T (t) is the anomaly in year t, then warming with constant acceleration can be modelled by…”

Section: Introductionmentioning

confidence: 99%

“…In a recent series of tutorial papers, Rust [7,8,9,10] modelled measured time series for global temperatures and fossil fuel CO2 emissions with related combinations of polynomials, exponentials, and sinusoids, using least squares fits that can be done by students well grounded in practical statistics. The analysis suggested that temperatures cycle around a monotonically increasing, accelerating baseline with a period of ≈ 65 years and that the exponential growth rate of CO2 emissions varies inversely with this cycle.…”

mentioning

confidence: 99%

Student Exercises on Fossil Fuels, Global Warming, and Gaia

Rust

2004

Computational Science - ICCS 2004

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Abstract. In a recent series of tutorial papers, Rust [7,8,9,10] modelled measured time series for global temperatures and fossil fuel CO2 emissions with related combinations of polynomials, exponentials, and sinusoids, using least squares fits that can be done by students well grounded in practical statistics. The analysis suggested that temperatures cycle around a monotonically increasing, accelerating baseline with a period of ≈ 65 years and that the exponential growth rate of CO2 emissions varies inversely with this cycle. The Gaia hypothesis [5] suggests that the biosphere adjusts atmospheric greenhouse gases to maintain an optimal temperature for life. The previous analysis is here extended with a series of fitting exercises designed to demonstrate that the above described inverse relation represents a Gaian feedback.

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Quantum duck hunt - a computer game

Cited by 8 publications

References 9 publications

Online Correction Method for the Registration Error between TSMFTIS Detector and Interferogram

Online Correction Method for the Registration Error between TSMFTIS Detector and Interferogram

Computer Vision Approach to Morphometric Feature Analysis of Basal Cell Nuclei for Evaluating Malignant Potentiality of Oral Submucous Fibrosis

Student Exercises on Fossil Fuels, Global Warming, and Gaia

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