Pre-event Resilience Enhancement ... - ieeexplore.ieee.org
ieeexplore.ieee.org › document › 9450973May 10, 2021 · Global warming has led to an increasing number of extreme weather events, sequential attacks of such events cause significant damage to distribution grids, and power utilities have to spend huge amounts of resources to strengthen grid structures. To improve the pre-event resilience of distribution systems in the face of extreme events while saving costs, this paper proposes a deep ...
A Quality Assurance System of ... - ieeexplore.ieee.org
ieeexplore.ieee.org › document › 9384743Sep 27, 2020 · Graduation design (thesis) is a crucial section for practical teaching to achieve the training objective of application-oriented talents. The research is based on the concept of Outcomes Based Education (OBE) and taking the software engineering major of Anhui Sanlian University as an example, this study is devoted to the construction of a feasible quality assurance system of graduation design ...
Deep Learning-Based Automated Lip ... - ieeexplore.ieee.org
ieeexplore.ieee.org › document › 9522117Aug 25, 2021 · A survey on automated lip-reading approaches is presented in this paper with the main focus being on deep learning related methodologies which have proven to be more fruitful for both feature extraction and classification. This survey also provides comparisons of all the different components that make up automated lip-reading systems including the audio-visual databases, feature extraction ...
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Development and evaluation of a ... - ieeexplore.ieee.org
ieeexplore.ieee.org › document › 9655052Jul 02, 2021 · Lightweight serial robots are highly suitable for tasks with human interaction. The low mass contributes to inherent safety properties due to lower inertial forces and torques. However, the slender structure makes such robots more compliant, which leads to higher deflections under load. This work introduces a straightforward method to identify the elastic parameters of a lightweight robot. The ...
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