For satellite Internet the content was examined by location and time of day, as well as within the context of online social networks. The ground Information-Centric Networking (ICN) is a paradigm shift from host-to-host Internet Protocol (IP)-based communication to content-based communication. With the development and universal application of satellite technology, an important way to expand the function of satellites is setting up inter-satellite networks to make them work together. The Internet and the Global Positioning System are based on the dual structure network and the Uniform Content Label UCL national standard. Through the integration of these two inventions, the integration of time and space is realized, creating an endogenous security environment of both mathematics and physics that is self-consistent in cyberspace, is expected to bring a breakthrough in principle for cracking network security challenges.

With the development of Internet technology, locating and identifying the page needed quickly from a sea of pages has become one of the most pressing and important demand. For the sake of acquiring video pages from mass web pages and analyzing their principal characteristics, this paper proposes the technology, which combines the form and content feature of the video page with topic web crawler of search engine technology, to identify video pages and video portals for the first time. To feed back to users about the results. So that they can access all video information on the Internet quickly. The result and analysis of environment shows that the algorithm is able to detect video pages with higher efficiency and accuracy.

We present a novel technique for automated problem decomposition to address the problem of scalability in reinforcement learning. Our technique makes use of a set of near-optimal trajectories to discover options and incorporates them into the learning process, dramatically reducing the time it takes to solve the underlying problem. We run a series of experiments in two different domains and show that our method offers up to 30 fold speedup over the baseline.