Professor Michelle M. Casey from the Department of Geosciences is this week’s #RacerScholar. She co-authored the paper, “Mixed assemblages of drilling predators and the problem of identity in the fossil record: A case study using the muricid gastropod Ecphora,” in the September 2015 edition of Paleobiology.
Continue reading “Our #RacerScholar this week is Michelle M. Casey, Ph.D.”
In 1984, this groundbreaking book offered readers an illuminating window into the workings of the criminal mind and a revolutionary approach to criminal “habilitation.” In 2004, armed with two decades of additional knowledge and insight, Dr. Stanton Samenow explored the subject anew, using his vast expertise to explain the thought patterns of those who commit the crimes we were most concerned with in the new millennium, such as domestic violence, internet victimization, and terrorism. Dr. Samenow’s account is ultimately brilliant, no-nonsense profile of the criminal mind, updated to include new influences and effective methods for dealing with hardened criminals. – Random House
You can find a copy of Inside the Criminal Mind on the “New Book Shelf” in Waterfield Library.
Our #RacerScholars this week are Nissa Wilson, Dr. Michael B. Flinn, Brian West and Dr. James Hereford. The students and professors are from the Department of Biological Sciences and the Institute of Engineering at Murray State University. Their article, “Identification of Sound-Producing Hydrophilid Beetles (Coleoptera: Hydrophilidae) in Underwater Recordings Using Digital Signal Processing,” appears in the June 2015 issue of Coleopterists Bulletin.
Hydrophone recordings from three aquatic beetle species within the family Hydrophilidae, Berosus pantherinus (LeConte), Tropisternus blatchleyi (d’Orchymont), and Tropisternus collaris (F.), were used to create an automated identification program. The identification program was designed using digital signal processing techniques and is capable of identifying which species is present from hydrophone recordings alone. Using features based on the frequency content of each beetle call and background sounds in reference recordings, half-second segments of audio recordings were classified as a specific beetle species call, a general beetle distress call, or as noise. Classification accuracy ranged from 87.5% for reference recordings. Training calls had accuracies of 98% and above between beetle species and noise. The majority of beetle recordings in a mesocosm environment were classified correctly. Often, T. blatchleyi was false-positively identified in recordings with non-beetle background noises, such as frogs or traffic, suggesting similar active frequencies in the T. blatchelyi features and these noises. The use of digital signal processing to identify aquatic invertebrates by sound is a new technique that has potential uses in taxonomy, surveys, and long-term biomonitoring of aquatic systems by providing a hands-free method of detection, and eventually identification, in the field.
Identification of Sound-Producing Hydrophilid Beetles (Coleoptera: Hydrophilidae) in Underwater Recordings
Using Digital Signal Processing
By: Nissa Wilson, Michael B. Flinn, Brian West
and James Hereford
Coleopterists Bulletin, June 2015, vol. 69 (2), pgs. 305-315