Apps at Hand: An Intelligent Mobile User Interface for Fire Recognition Algorithm
Information Technology Journal,
2014, 13(1), 12-21.
The rapid growth of mobile apps gives rise to the challenge
of discovering apps in the mobile systems while it concurrently brings the problem
of intensive screen space consumption for mobile devices. To be specified, users
always need scrolling screens of apps just for discovering and accessing one
of them. The traditional forest fire recognition algorithm couldn't achieve
low time-consuming and high accuracy at the same time. To the features of forest
fire image, discussed the significance of forest fire prevention combining sea
computing, studied and proposed the forest fire recognition algorithm based
on sea computing. Used Qt/Embedded to design the algorithm according to the
characteristics of the sensor node and then completed the judgment of color
and region by this algorithm through additive color model and Sobel operator.
Finally, the results were automatically fed back to the sink node. The experiments
showed that, this algorithm not only completed the instant detection and recognition
of forest fire but also synchronously achieved higher accuracy rate and lower
time-consuming compared with the traditional methods.
Cited References Fulltext