This paper studies that the problems of the new perceived incentive system upgrade and management funding input introduced by the company, which establishes a production function model, and observes whether the introduction of the new management system can effectively help traditional mining enterprises Improve production efficiency and production safety factor. Through empirical research, this paper finds that the effective improvement of the enterprise management system and incentive system can improve the production efficiency of the enterprise, increase the participation of workers and promote the effective implementation of the project. Finally, based on the conclusions of empirical research, this paper further verifies the reliability of the data and gives relevant suggestions.
With the rapid development of social networks and the increasing use of mobile devices, the data scale of digital images
has increased sharply, and the dynamic detection of object categories has gradually become a research hotspot in the field
of computer vision. The key problems of dynamic detection of object categories are summarized. First introduces the
research background of the target category, then the target object type detection techniques were reviewed, including the
source code to compile, functional testing, model training and model verification points, four core technology and the
training of different data sets and evaluation standard, the final object categories listed dynamic detection algorithm of test
results, and summarize the main research of target category test difficulty and developing direction in the future.
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.