Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Life Sciences
Gathering Cows Using Virtual Fencing Methodologies, Dean M. Anderson, Marek Doniec, Carrick Detweiler, Iuliu Vesilescu, Daniela Rus, Barbara Nolen, Roy Libeau
Gathering Cows Using Virtual Fencing Methodologies, Dean M. Anderson, Marek Doniec, Carrick Detweiler, Iuliu Vesilescu, Daniela Rus, Barbara Nolen, Roy Libeau
CSE Conference and Workshop Papers
Free-ranging livestock are classically controlled by herders. Holding, moving, or gathering free-ranging cattle requires flexible husbandry practices for efficient and effective lowstress animal management. Behavioral theory and practical experience indicates cattle can be taught to respond to auditory cues. Preliminary research has demonstrated that cows can be gathered autonomously using recorded audio cues associated with manual gathering. However, efficient gathering requires movement in the proper direction. Therefore, we believe using audio cues administered from directional virtual fencing (DVF™) equipment can facilitate proper animal orientation and facilitate the gathering of animals with minimal human intervention. Results from applying directional audio cues …
Classification And Cluster Analysis Of Complex Time-Of-Flight Secondary Ion Mass Spectrometry For Biological Samples, Stephen E. Reichenbach, Xue Tian, Qingping Tao, Alex Henderson
Classification And Cluster Analysis Of Complex Time-Of-Flight Secondary Ion Mass Spectrometry For Biological Samples, Stephen E. Reichenbach, Xue Tian, Qingping Tao, Alex Henderson
CSE Conference and Workshop Papers
Identifying and separating subtly different biological samples is one of the most critical tasks in biological analysis. Time-of-flight secondary ion mass spectrometry (ToF-SIMS) is becoming a popular and important technique in the analysis of biological samples, because it can detect molecular information and characterize chemical composition. ToF-SIMS spectra of biological samples are enormously complex with large mass ranges and many peaks. As a result the classification and cluster analysis are challenging. This study presents a new classification algorithm, the most similar neighbor with a probability-based spectrum similarity measure (MSN- PSSM), which uses all the information in the entire ToF- SIMS …