With the emergence of Information-Centric Networking as a potential paradigm shift in the computer networking field, the coupling between VANETS and Named-data Networking, known as VNDN, has gained momentum as a promi...
详细信息
ISBN:
(纸本)9798350369458;9798350369441
With the emergence of Information-Centric Networking as a potential paradigm shift in the computer networking field, the coupling between VANETS and Named-data Networking, known as VNDN, has gained momentum as a promising communication standard to foster the deployment of inter-vehicular communications in the real world, calling the attention of the research community. This work presents a concise VNDN review focusing on the background concepts. We also analyze the current status and open challenges, including the prominent data naming and caching approaches and the most efficient Interest and data message forwarding and delivery strategies.
The data center can cooperate with the integrated energy system in the park, to improve the flexibility of load regulation. Aiming at the conflict of interest caused by the cooperation among the integrated energy syst...
详细信息
Telecare Medical Information System (TMIS) is a technology that has been on rise in the recent times with the onset of the COVID-19 pandemic. TMIS can be implemented in wireless body area networks (WBAN) in the form o...
详细信息
While learning from demonstrations is powerful for acquiring visuomotor policies, high-performance imitation without large demonstration datasets remains challenging for tasks requiring precise, long-horizon manipulat...
详细信息
ISBN:
(纸本)9798350377712;9798350377705
While learning from demonstrations is powerful for acquiring visuomotor policies, high-performance imitation without large demonstration datasets remains challenging for tasks requiring precise, long-horizon manipulation. This paper proposes a pipeline for improving imitation learning performance with a small human demonstration budget. We apply our approach to assembly tasks that require precisely grasping, reorienting, and inserting multiple parts over long horizons and multiple task phases. Our pipeline combines expressive policy architectures and various techniques for dataset expansion and simulation-based data augmentation. These help expand dataset support and supervise the model with locally corrective actions near bottleneck regions requiring high precision. We demonstrate our pipeline on four furniture assembly tasks in simulation, enabling a manipulator to assemble up to five parts over nearly 2500 time steps directly from RGB images, outperforming imitation and data augmentation baselines. Project website: https://***/.
Cardiovascular disorders represent a general and critical health concern worldwide, which needs an innovative approaches to increase prediction and prevention strategies. This research paper introduces a cutting-edge ...
详细信息
This paper proposes a method to implement an 3-dof stabilization device by combining a neural network with a PID controller. First, hardware was designed based on the Inverted Delta Robot structure. This platform, equ...
详细信息
The rapid onset and unpredictable nature of disasters necessitate a quick, organized, and efficient response. This paper proposes a comprehensive disaster management platform that integrates real-time disaster informa...
详细信息
In order to further improve the effect of English intelligent translation, this paper combines the idea of deep learning to build an intelligent corpus system. Aiming at the problem of a lot of noise in speech data, t...
详细信息
Stereo processing accelerators are often designed and implemented using Field Programmable logic. In this paper, a new setup for the implementation and practical testing of hardware stereo-processing solutions is pres...
详细信息
Electrocardiograms (ECGs) are essential tools for the diagnosis and monitoring of heart diseases. Accurate and automatic detection of cardiac abnormalities from ECG signals is crucial for timely intervention and effec...
详细信息
暂无评论