Prediction of adult conformation traits from shape characteristics of Pura Raza Español foals

Aiming at the defects of fault diagnosis in the traditional method for sucker rod pump system, a new method based on support vector machine (SVM) pump fault diagnosis is proposed. Through studying the theory of invariant moment and the shape characteristics of pump indicator diagram, seven invariant moments is extracted from the indicator diagram as a pumping unit well condition of the characteristic parameters. Then these parameters are pretreatment, and it makes up seven eigenvector which are regarded as the input eigenvector of the SVM. The experiment indicates that the method can not only detect the fault of the pumping oil well but also can recognize the fault type of it, which is very effective for safety protection and fault diagnosis of the pumping oil.

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Shape characteristics of biological spores

10.1117/12.777637 ◽

2008 ◽

Cited By ~ 4

Author(s):

Daniel V. Hahn ◽

Diane Limsui ◽

Richard I. Joseph ◽

Kevin C. Baldwin ◽

Nathan T. Boggs ◽

...

Keyword(s):

Shape Characteristics

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Identifying the ideal body size and shape characteristics associated with children's physical performance tests in Peru

Scandinavian Journal of Medicine and Science in Sports ◽

10.1111/sms.12231 ◽

2014 ◽

Vol 25 (2) ◽

pp. e155-e165 ◽

Cited By ~ 16

Author(s):

A. Bustamante Valdivia ◽

J. Maia ◽

A. Nevill

Keyword(s):

Body Size ◽

Physical Performance ◽

Performance Tests ◽

Size And Shape ◽

Ideal Body ◽

Shape Characteristics ◽

The Ideal ◽

Ideal Body Size

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Effect of Geometric Parameters of New Semisubmersible Platform on Stability and Hydrodynamic Performance

10.1115/omae2021-63218 ◽

2021 ◽

Author(s):

Tianying Wang ◽

Yanjun Zhou ◽

Honglin Tang ◽

Shihua Zhang ◽

Haiqing Tian

Keyword(s):

Geometric Parameters ◽

Hydrodynamic Performance ◽

Geometrical Parameters ◽

Main Body ◽

Floating Bodies ◽

Full Picture ◽

New Type ◽

Design Plan ◽

The Stability ◽

Shape Characteristics

Abstract The JCSM concept (short for Jackup Combined Semisubmersible Multifunction Platform) is a new type of semisubmersible platform presented by the first author, which overcomes the shortcomings of the available semisubmersible platforms, and combines the advantages of the traditional semisubmersible platform, the Jackup platform and the new FPSO concept - IQFP. Due to the complicated interaction between stability and hydrodynamic performance, it is necessary to explore the effect of geometrical parameters of the main body on the stability and hydrodynamic performance in order to obtain the optimal design plan of a JCSM platform. Firstly, the structure components and innovations of the JCSM were briefly reviewed in order to facilitate readers to understand its full picture. Then, six independent geometric parameters were selected by carefully studying the shape characteristics of the initial design plan of a JCSM study case. Furthermore, the stability heights and motion responses of various floating bodies of the JCSM case with different geometric parameters in wave were calculated using boundary element method based on potential flow theory. Lastly, effect of the shape parameters on stability and hydrodynamic performance of the JCSM was qualitatively evaluated. The research would shed lights on the shape design of the JCSM main body.

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Hippocampal and amygdalar morphological abnormalities in Alzheimer’s disease based on three Chinese MRI datasets

Current Alzheimer Research ◽

10.2174/1567205018666210218150223 ◽

2021 ◽

Vol 18 ◽

Author(s):

Yuanyuan Wei ◽

Nianwei Huang ◽

Yong Liu ◽

Xi Zhang ◽

Silun Wang ◽

...

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Shape Analysis ◽

Early Stage ◽

Disease Status ◽

Brain Structures ◽

Statistical Shape Analysis ◽

Social Significance ◽

Statistical Shape ◽

Shape Characteristics

Background: Early detection of Alzheimer’s disease (AD) and its early stage, the mild cognitive impairment (MCI), has important scientific, clinical and social significance. Magnetic resonance imaging (MRI) based statistical shape analysis provides an opportunity to detect regional structural abnormalities of brain structures caused by AD and MCI. Objective: In this work, we aimed to employ a well-established statistical shape analysis pipeline, in the framework of large deformation diffeomorphic metric mapping, to identify and quantify the regional shape abnormalities of the bilateral hippocampus and amygdala at different prodromal stages of AD, using three Chinese MRI datasets collected from different domestic hospitals. Methods: We analyzed the region-specific shape abnormalities at different stages of the neuropathology of AD by comparing the localized shape characteristics of the bilateral hippocampi and amygdalas between healthy controls and two disease groups (MCI and AD). In addition to group comparison analyses, we also investigated the association between the shape characteristics and the Mini Mental State Examination (MMSE) of each structure of interest in the disease group (MCI and AD combined) as well as the discriminative power of different morphometric biomarkers. Results: We found the strongest disease pathology (regional atrophy) at the subiculum and CA1 subregions of the hippocampus and the basolateral, basomedial as well as centromedial subregions of the amygdala. Furthermore, the shape characteristics of the hippocampal and amygdalar subregions exhibiting the strongest AD related atrophy were found to have the most significant positive associations with the MMSE. Employing the shape deformation marker of the hippocampus or the amygdala for automated MCI or AD detection yielded a significant accuracy boost over the corresponding volume measurement. Conclusion: Our results suggested that the amygdalar and hippocampal morphometrics, especially those of shape morphometrics, can be used as auxiliary indicators for monitoring the disease status of an AD patient.

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