Magnetocrystalline anisotropy of non-uniaxialR-Tmagnetic materials studied by the singular point detection technique: an application to compounds (R = Y or Gd andx= 0 or 1)

<abstract> <p>Singular point detection is a primary step in fingerprint recognition, especially for fingerprint alignment and classification. But in present there are still some problems and challenges such as more false-positive singular points or inaccurate reference point localization. This paper proposes an accurate core point localization method based on spatial domain features of fingerprint images from a completely different viewpoint to improve the fingerprint core point displacement problem of singular point detection. The method first defines new fingerprint features, called furcation and confluence, to represent specific ridge/valley distribution in a core point area, and uses them to extract the innermost Curve of ridges. The summit of this Curve is regarded as the localization result. Furthermore, an approach for removing false Furcation and Confluence based on their correlations is developed to enhance the method robustness. Experimental results show that the proposed method achieves satisfactory core localization accuracy in a large number of samples.</p> </abstract>

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Change Point Detection Technique for Weather Forecasting Using Bi-LSTM and 1D-CNN Algorithm

Lecture Notes in Networks and Systems - Next Generation of Internet of Things ◽

10.1007/978-981-16-0666-3_11 ◽

2021 ◽

pp. 109-119

Author(s):

S. Selvi ◽

V. Bala Nivetha ◽

R. Divya ◽

S. Gayathri ◽

G. S. Pavithra

Keyword(s):

Change Point ◽

Weather Forecasting ◽

Change Point Detection ◽

Detection Technique ◽

Point Detection

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A robust algorithm for fingerprint singular point detection and image reference direction determination based on the analysis of curvature map

2008 IEEE Conference on Cybernetics and Intelligent Systems ◽

10.1109/iccis.2008.4670781 ◽

2008 ◽

Cited By ~ 1

Author(s):

Jin Qi ◽

Mei Xie

Keyword(s):

Singular Point ◽

Robust Algorithm ◽

Reference Direction ◽

Point Detection

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The “Very Point” Technique: A Needle Based Point Detection Method

Acupuncture in Medicine ◽

10.1136/aim.13.1.20 ◽

1995 ◽

Vol 13 (1) ◽

pp. 20-21 ◽

Cited By ~ 5

Author(s):

Jochen Gleditsch

Keyword(s):

Detection Method ◽

Acupuncture Point ◽

Detection Technique ◽

Patient Reports ◽

Loss Of Resistance ◽

Point Detection ◽

Very Point Technique ◽

Little Finger

An acupuncture point detection technique is described in which the needle to be used in therapy acts as a guide for the point detection. The needle is dabbed tangentially onto the area around the point until a loss of resistance is felt and the patient reports an electrical sensation. This method can be used particularly well in two areas of the hand: along the outer edges of the thumb and little finger. These partial acupuncture microsystems are described with therapeutic indications for their points.

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