Research on Automatic Generation System of the Secondary Safety Measures of Smart Substation Based on Archival Data

2021 ◽  
pp. 805-816
Author(s):  
Sun Liye
Keyword(s):  
Automatic Generation ◽  
Archival Data ◽  
Generation System ◽  
Safety Measures ◽  
Smart Substation

scholarly journals Automatic Generation System of Distribution Network Switch Test Scheme based on Topology Analysis

2021 ◽  
Vol 2005 (1) ◽  
pp. 012221
Author(s):  
Jiaxing Lei ◽  
Yaosong Guo ◽  
Zhongyuan Xu ◽  
Dashi Luo ◽  
Rui Wang
Keyword(s):  
Distribution Network ◽  
Automatic Generation ◽  
Test Scheme ◽  
Generation System ◽  
Topology Analysis ◽  
Network Switch

scholarly journals Smart meter‐based home energy report: Design and operation of automatic generation system of hourly usage indication message

2020 ◽  
Author(s):  
Toshihiro Mukai ◽  
Ken‐ichiro Nishio ◽  
Hidenori Komatsu ◽  
Kazuyuki Kobayashi ◽  
Masanobu Sasaki ◽  
...  
Keyword(s):  
Automatic Generation ◽  
Smart Meter ◽  
Generation System ◽  
Report Design

scholarly journals SCFont: Structure-Guided Chinese Font Generation via Deep Stacked Networks

2019 ◽  
Vol 33 ◽  
pp. 4015-4022 ◽  
Author(s):  
Yue Jiang ◽  
Zhouhui Lian ◽  
Yingmin Tang ◽  
Jianguo Xiao
Keyword(s):  
Deep Learning ◽  
Domain Knowledge ◽  
State Of The Art ◽  
Automatic Generation ◽  
Chinese Characters ◽  
Generation System ◽  
Model Learning ◽  
High Quality ◽  
Large Numbers ◽  
Quantitative Assessments

Automatic generation of Chinese fonts that consist of large numbers of glyphs with complicated structures is now still a challenging and ongoing problem in areas of AI and Computer Graphics (CG). Traditional CG-based methods typically rely heavily on manual interventions, while recentlypopularized deep learning-based end-to-end approaches often obtain synthesis results with incorrect structures and/or serious artifacts. To address those problems, this paper proposes a structure-guided Chinese font generation system, SCFont, by using deep stacked networks. The key idea is to integrate the domain knowledge of Chinese characters with deep generative networks to ensure that high-quality glyphs with correct structures can be synthesized. More specifically, we first apply a CNN model to learn how to transfer the writing trajectories with separated strokes in the reference font style into those in the target style. Then, we train another CNN model learning how to recover shape details on the contour for synthesized writing trajectories. Experimental results validate the superiority of the proposed SCFont compared to the state of the art in both visual and quantitative assessments.

scholarly journals Development and Application of Online Courseware for English Teaching

2016 ◽  
Vol 11 (03) ◽  
pp. 10
Author(s):  
Shansong Huang
Keyword(s):  
United States ◽  
Western Europe ◽  
Rapid Development ◽  
Developed Countries ◽  
The United States ◽  
Automatic Generation ◽  
The Internet ◽  
Student Needs ◽  
Generation System ◽  
Teaching Activities

Since the second decade of the 21st century, the rapid development of computer information technology promoted the internet use throughout society. We are now in an era in which life and learning are closely intertwined with the internet. In Western Europe, the United States, and other developed countries, teaching activities by online multimedia and offline technology have been long implemented. However, local online automatic generation software is inflicted with many issues, particularly, with the inability to meet the most student needs. Hence, we developed a new online courseware generation system to address this problem. After testing, the system functioned effectively, and the educational effect enhanced significantly.

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