An integrated entropy-spatial framework for automatic gender recognition enhancement of emotion-based EEGs

Gender determination of the human remains can be very challenging, especially in the case of incomplete ones. Herein, we report a proof-of-concept experiment where the possibility of gender recognition using Raman spectroscopy of teeth is investigated. Raman spectra were recorded from male and female molars and premolars on two distinct sites, tooth apex and anatomical neck. Recorded spectra were sorted into suitable datasets and initially analyzed with principal component analysis, which showed a distinction between spectra of male and female teeth. Then, reduced datasets with scores of the first 20 principal components were formed and two classification algorithms, support vector machine and artificial neural networks, were applied to form classification models for gender recognition. The obtained results showed that gender recognition with Raman spectra of teeth is possible but strongly depends both on the tooth type and spectrum recording site. The difference in classification accuracy between different tooth types and recording sites are discussed in terms of the molecular structure difference caused by the influence of masticatory loading or gender-dependent life events.

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A Spatial Framework for Extracting Suez Canal Transit Information from AIS

2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) ◽

10.1109/ieem45057.2020.9309882 ◽

2020 ◽

Author(s):

G. Fuentes ◽

R. Adland

Keyword(s):

Suez Canal ◽

Spatial Framework

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Gender Recognition using in-built Inertial Sensors of Smartphone

2020 IEEE REGION 10 CONFERENCE (TENCON) ◽

10.1109/tencon50793.2020.9293797 ◽

2020 ◽

Author(s):

Tanushree Meena ◽

Kishor Sarawadekar

Keyword(s):

Inertial Sensors ◽

Gender Recognition

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Small Areas in the Canadian Census

The Canadian Surveyor ◽

10.1139/tcs-1969-0035 ◽

1969 ◽

Vol 23 (2) ◽

pp. 151-160 ◽

Cited By ~ 1

Author(s):

P. J. Hubert

Keyword(s):

World War Ii ◽

Census Data ◽

World War ◽

Census Division ◽

Small Areas ◽

Spatial Framework ◽

Enumeration Area ◽

Equivalent Area

The spatial framework for which the Census of Canada provides data has evolved, through successive censuses, to meet the need of users. Because of the changing nature of the electoral districts of the early censuses, a more permanent spatial framework, namely, the county, and an equivalent area called the census division, was introduced in the 1921 and 1931 censuses. After World War II, users of census data requested a smaller spatial framework. In. 1951 data were available at the municipality level and, in 1961, all census data taken on a 100 per cent basis were available at the enumeration area level. Currently, the ability to provide census data for user-specified areas is being developed through a geocoding system.

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