With the development of the Internet of Things (IoT for short), innumerable Wireless Sensor Networks (WSNs) are deployed to capture the information of environmental status in the surrounding physical environment.The data from WSNs, called sensor data, are generated in high frequency.Similar to data of other open-loop applications, for example, netw
Challenges and perspectives of child labor
Child labor is one of the oldest problems in our society and still an ongoing issue.During 134 the time, child labor evolved from working in agriculture or small handicraft workshops to being forced into work in factories in the urban setting as a result of the industrial revolution.Children were very profitable assets since their pay was very low,
Actual problems of accounting for work in progress at breweries
Incomplete production is a component of current assets and an unjustified increase in its volume leads to the withdrawal from circulation of funds, the insufficiency of which is felt by most enterprises.In the course of organizing the accounting of work in progress at breweries, a number of important issues arise that need to be addressed.One of su
Structured prediction models for argumentative claim parsing from text
The internet abounds with opinions expressed in text.While a number of natural language processing techniques have been proposed for opinion analysis from text, most offer only a shallow analysis DEEP CONDITIONER UNSCENTED without providing any insights into reasons supporting the opinions.In online discussions, however, opinions are typically expr
An Integrated Method for River Water Level Recognition from Surveillance Images Using Convolution Neural Networks
Water conservancy personnel usually need to know the water level by water gauge images in real-time and with an expected accuracy.However, accurately recognizing the water level from water gauge images is still a complex problem.This article proposes a composite method applied in the Wuyuan City, Jiangxi Province, in China.This method can detect wa