KEYWORDS: Lamps, Data modeling, Visibility, Mathematical optimization, Atmospheric modeling, Statistical modeling, Meteorology, Roads, Light sources and illumination, Control systems
We have put forward an approach to control street lamps which is based on Long Short-Term Memory Network (LSTM for short) and Bayesian optimization. This approach imports meteorological conditions, natural light intensity, and other factors to train the network model in order to adaptively adjust the brightness of road network lighting equipment. The brightness of lighting equipment would transform according to the weather and natural light intensity conditions. Compared with MLP, XGBoost and LSTM, the model built by this method has the characteristics of small error and high precision.
The implementation of the "double reduction" and "double increase" policy has been reflected in the physical education examination. Physical education exams add more difficult sports, such as basketball and soccer, which are more difficult than traditional sports, require higher posture, and require professional guidance. However, there is a shortage of physical education personnel in China, which is far from meeting the needs of schools. In response to the above problem this book proposes, a sports posture assessment system based on open pose algorithm. By comparing the assessor's pose with the standard pose, the matching of key frames is performed, and the method of calculating vector similarity is used to define the standardized evaluation criteria of sports pose for differentiated comparison. The system is proven to be effective in evaluating the motion stance and providing users with improvement suggestions to improve their performance.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.