[HTML][HTML] Public security video image detection system construction platform in cloud computing environment
H Yin - Computational Intelligence and Neuroscience, 2022 - ncbi.nlm.nih.gov
The public security image detection system is an important way to assist the police in the
investigation. In today's cloud computing environment, the processing power of cloud …
investigation. In today's cloud computing environment, the processing power of cloud …
Offloading deep learning empowered image segmentation from uav to edge server
Image and video analysis in unmanned aerial vehicle (UAV) systems have been a recent
interest in many applications since the images taken by UAV systems can provide useful …
interest in many applications since the images taken by UAV systems can provide useful …
Scheduling dnn inferencing on edge and cloud for personalized uav fleets
Drone fleets with onboard cameras coupled with DNN inferencing models can support
diverse applications, from infrastructure monitoring to package deliveries. Here, we propose …
diverse applications, from infrastructure monitoring to package deliveries. Here, we propose …
Automated training of location-specific edge models for traffic counting
Deep neural networks are the state of the art for various machine learning problems dealing
with large amounts of rich sensor data. It is often desirable to evaluate these models on …
with large amounts of rich sensor data. It is often desirable to evaluate these models on …
[PDF][PDF] 面向实时视频流分析的边缘计算技术
杨铮， 贺骁武， 吴家行， 王需， 赵毅 - Inform, 2022 - researchgate.net
摘要实时视频流分析在智能监控, 智慧城市, 自动驾驶等场景中具有重要价值. 然而计算负载高,
带宽需求大, 延迟要求严等特点使得实时视频流分析难以通过传统的云计算范式进行部署 …
带宽需求大, 延迟要求严等特点使得实时视频流分析难以通过传统的云计算范式进行部署 …
An anonymous and outsourcing-supported multiauthority access control scheme with revocation for edge-enabled IIoT system
With the application of the Internet of Things and intelligent technologies in industrial
systems, the manufacturing efficiency and product quality have been improved, leading to …
systems, the manufacturing efficiency and product quality have been improved, leading to …
Sea-leap: Self-adaptive and locality-aware edge analytics placement
Near real-time edge analytics requires dealing with the rapidly growing amount of data,
limited resources, and high failure probabilities of edge nodes. Therefore, data replication is …
limited resources, and high failure probabilities of edge nodes. Therefore, data replication is …
Partitioning and placement of deep neural networks on distributed edge devices to maximize inference throughput
A Parthasarathy… - 2022 32nd International …, 2022 - ieeexplore.ieee.org
Edge inference has become more widespread, as its diverse applications range from retail
to wearable technology. Clusters of networked resource-constrained edge devices are …
to wearable technology. Clusters of networked resource-constrained edge devices are …
Partitioning and deployment of deep neural networks on edge clusters
A Parthasarathy, B Krishnamachari - arXiv preprint arXiv:2304.11941, 2023 - arxiv.org
Edge inference has become more widespread, as its diverse applications range from retail
to wearable technology. Clusters of networked resource-constrained edge devices are …
to wearable technology. Clusters of networked resource-constrained edge devices are …
Camera-based edge analytics for drilling optimization
CP Gooneratne, A Magana-Mora… - … Conference on Edge …, 2020 - ieeexplore.ieee.org
Hydrocarbon exploration and production involve drilling through rock formations to reach
and access target hydrocarbon reservoirs deep below the ground in the safest and most …
and access target hydrocarbon reservoirs deep below the ground in the safest and most …