This paper studies a real-time traffic density analyzer based on target detection. Based on the development of deep learning technology in recent years and taking full advantage of big data strength, the intelligent and real-time traffic density analyzer is constructed. It collects the road condition in the current status in real time, and estimates the current number of driving vehicles and the specific positions of the corresponding vehicles through the real-time calculation and analysis of efficient target detection algorithms such as faster rcnn [1], SSD [2] and so on. It can easily be carried on unmanned aerial vehicles or fixed road stations, and communicate with other digital devices in intelligent cities in real time to reflect traffic conditions.
WWII is widely known as a war which "saved" the US economy. However, how it reached this goal was in great controversy. This research focuses on the effects WWII have on the US economy and figures out how those effects were able to benefit the US economy. The conclusion drown from the work is that WWII benefited the US economy through gradually changes its industrial transformation by supporting the firms that holds the techniques vital for modern US economy structure. This work points out how a war can promote the develop of economy and builds up the base for further researches on methods that promotes the development of economy.
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