scholarly journals Variability in echolocation call design of 26 Swiss bat species: consequences, limits and options for automated field identification with a synergetic pattern recognition approach

Mammalia ◽  
2004 ◽  
Vol 68 (4) ◽  
Author(s):  
Martin K. Obrist ◽  
Ruedi Boesch ◽  
Peter F. Flückiger
Keyword(s):  
Pattern Recognition ◽  
Species Identification ◽  
Automated Systems ◽  
Echolocation Call ◽  
Echolocation Calls ◽  
Recognition Algorithms ◽  
Field Identification ◽  
Pattern Recognition Approach ◽  
Species Specific ◽  
Independent Species

Pattern recognition algorithms offer a promising approach to recognizing bat species by their echolocation calls. Automated systems like synergetic classifiers may contribute significantly to operator-independent species identification in the field. However, it necessitates the assembling of an appropriate database of reference calls, a task far from trivial. We present data on species specific flexibility in call parameters of all Swiss bat species (except

On the use of ultrasonic detectors for bat species identification and the calibration of QMC Mini Bat Detectors

1984 ◽  
Vol 62 (12) ◽  
pp. 2677-2679 ◽  
Author(s):  
Donald W. Thomas ◽  
Stephen D. West
Keyword(s):  
Species Identification ◽  
Species Level ◽  
Ultrasonic Detection ◽  
Echolocation Call ◽  
Echolocation Calls ◽  
Reliable Identification ◽  
Level Identification

Several ultrasonic detection and analysis systems are currently used to provide information on the echolocation calls of bats, in many cases permitting species-level identification. This note briefly describes these systems and alerts potential users of the inaccuracies of the simplest device, the superheterodyne QMC Mini Bat Detector. Without adequate calibration, the error in this latter detector is such that reliable identification of bats by echolocation call characteristics cannot be achieved.

scholarly journals Description of Echolocation Call Parameters for Urban Bats in Vietnam as a Step Towards a More Integrated Acoustic Monitoring of Urban Wildlife in Southeast Asia

Diversity ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 18
Author(s):  
Long Kim Pham ◽  
Bang Van Tran ◽  
Quy Tan Le ◽  
Trung Thanh Nguyen ◽  
Christian C. Voigt
Keyword(s):  
Discriminant Function ◽  
Discriminant Function Analysis ◽  
Function Analysis ◽  
Quantitative Description ◽  
Southeast Asian ◽  
Asian Countries ◽  
Echolocation Call ◽  
Echolocation Calls ◽  
Pilot Work ◽  
Southeast Asian Countries

This study is the first step towards more systematic monitoring of urban bat fauna in Vietnam and other Southeast Asian countries by collecting bat echolocation call parameters in Ho Chi Minh and Tra Vinh cities. We captured urban bats and then recorded echolocation calls after releasing in a tent. Additional bat’s echolocation calls from the free-flying bats were recorded at the site where we captured bat. We used the obtained echolocation call parameters for a discriminant function analysis to test the accuracy of classifying these species based on their echolocation call parameters. Data from this pilot work revealed a low level of diversity for the studied bat assemblages. Additionally, the discriminant function analysis successfully classified bats to four bat species with an accuracy of >87.4%. On average, species assignments were correct for all calls from Taphozous melanopogon (100% success rate), for 70% of calls from Pipistrellus javanicus, for 80.8% of calls from Myotis hasseltii and 67.3% of calls from Scotophilus kuhlii. Our study comprises the first quantitative description of echolocation call parameters for urban bats of Vietnam. The success in classifying urban bats based on their echolocation call parameters provides a promising baseline for monitoring the effect of urbanization on bat assemblages in Vietnam and potentially also other Southeast Asian countries.

Pattern Recognition Approach to Fault Diagnosis in the DAMADICS Benchmark Flow Control Valve

2003 ◽  
Vol 36 (5) ◽  
pp. 861-866 ◽  
Author(s):  
A. Marciniak ◽  
C.D. Bocăială ◽  
R. Louro ◽  
J. Sa da Costa ◽  
J. Korbicz
Keyword(s):  
Pattern Recognition ◽  
Fault Diagnosis ◽  
Flow Control ◽  
Control Valve ◽  
Flow Control Valve ◽  
Pattern Recognition Approach
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