An automated system to classify stellar spectra — I

An Automated System to Classify Stellar Spectra I.

An Automated System to Classify Stellar Spectra I

Analyses of stellar spectra often begin with the determination of a number of parameters that define a model atmosphere. This work presents a prototype for an automated spectral classification system that uses a 150 Å-wide region around Hβ, and applies to stars of spectral types A to K with normal (scaled solar) chemical composition. The new tool exploits synthetic spectra based on plane-parall...

Automated analysis of stellar spectra

Classical model-atmosphere analyses of stellar spectra usually begin by measuring equivalent widths, and then proceed into a loop in which 1) model spectra are calculated for a set of abundances and atmospheric parameters, and 2) observed and computed spectra are compared and corrections to the abundances and parameters are inferred. Automated techniques have been developed to automate the meas...

An Automated Acoustic System to Monitor and Classify Birds

Collisions between aircraft and birds have become an increasing concern for human health and safety. More than four hundred people and over four hundred aircraft have been lost globally in recent years, according to a FAA report. To minimize the number of birdstikes, microphone arrays have been used to monitor birds near the airport or some critical locations in the airspace. However, the range...

An Automated Method to Segment and Classify Masses in Mammograms

Mammography is the most effective procedure for an early diagnosis of the breast cancer. Nowadays, people are trying to find a way or method to support as much as possible to the radiologists in diagnosis process. The most popular way is now being developed is using Computer-Aided Detection (CAD) system to process the digital mammograms and prompt the suspicious region to radiologist. In this p...