Zobrazeno 1 - 10
of 1 232
pro vyhledávání: '"Amala P"'
Publikováno v:
Canadian Journal for the Scholarship of Teaching and Learning, Vol 15, Iss 2 (2024)
This research paper explores the relationship between compassion, meaning-making, and curricular community engaged learning (CEL) in a university setting. We contend that CEL, as a key form of community-focused experiential learning (EL), can play an
Externí odkaz:
https://doaj.org/article/08c5b44adc57433bb3cc9102e5cf94a5
Publikováno v:
International Journal of Applied Mechanics and Engineering, Vol 27, Iss 4, Pp 117-137 (2022)
This paper deals with the computational approach to solving the singularly perturbed differential equation with a large delay in the differentiated term using the two-point Gaussian quadrature. If the delay is bigger than the perturbed parameter, the
Externí odkaz:
https://doaj.org/article/a45f9d400e7f428db7365b22d19b1d21
Autor:
Nathan, Rakesh John Amala Arokia, Strand, Sigrid, Mehrwald, Daniel, Shutin, Dmitriy, Bimber, Oliver
Swarms of drones offer an increased sensing aperture, and having them mimic behaviors of natural swarms enhances sampling by adapting the aperture to local conditions. We demonstrate that such an approach makes detecting and tracking heavily occluded
Externí odkaz:
http://arxiv.org/abs/2407.10754
Autor:
Sarkar, Adrisha, Jones, Zachary, Parashar, Madhur, Druga, Emanuel, Akkiraju, Amala, Conti, Sophie, Krishnamoorthi, Pranav, Nachuri, Srisai, Aman, Parker, Hashemi, Mohammad, Nunn, Nicholas, Torelli, Marco, Gilbert, Benjamin, Wilson, Kevin R., Shenderova, Olga, Tanjore, Deepti, Ajoy, Ashok
We report on a novel flow-based method for high-precision chemical detection that integrates quantum sensing with droplet microfluidics. We deploy nanodiamond particles hosting fluorescent nitrogen vacancy defects as quantum sensors in flowing, monod
Externí odkaz:
http://arxiv.org/abs/2404.19313
Indoor human positioning has become increasingly important for applications such as health monitoring, breath monitoring, human identification, safety and rescue operations, and security surveillance. However, achieving robust indoor human positionin
Externí odkaz:
http://arxiv.org/abs/2403.04333
Idealized numerical simulation is used to explore energy sinks for lee waves trapped in their bottom-intensified generating flow. In addition to the loss to explicit dissipation and reabsorption predicted by linear wave action conservation, indirect
Externí odkaz:
http://arxiv.org/abs/2403.04939
We propose a guidance strategy to optimize real-time synthetic aperture sampling for occlusion removal with drones by pre-scanned point-cloud data. Depth information can be used to compute visibility of points on the ground for individual drone posit
Externí odkaz:
http://arxiv.org/abs/2402.06991
Both humans and computational methods struggle to discriminate the depths of objects hidden beneath foliage. However, such discrimination becomes feasible when we combine computational optical synthetic aperture sensing with the human ability to fuse
Externí odkaz:
http://arxiv.org/abs/2310.16120
Previous research has shown that in the presence of foliage occlusion, anomaly detection performs significantly better in integral images resulting from synthetic aperture imaging compared to applying it to conventional aerial images. In this article
Externí odkaz:
http://arxiv.org/abs/2304.13590
We demonstrate how efficient autonomous drone swarms can be in detecting and tracking occluded targets in densely forested areas, such as lost people during search and rescue missions. Exploration and optimization of local viewing conditions, such as
Externí odkaz:
http://arxiv.org/abs/2212.14692