The spread of the sensors and industrial systems has fostered widespread real-time data processing applications. Massive vector field data (MVFD) are generated by vast distributed sensors and are characterized by high distribution, high velocity, and high volume. As a result, computing such kind of data on centralized cloud faces unprecedented challenges, especially on the processing delay due to the distance between the data source and the cloud. Taking advantages of data source proximity and vast distribution, edge computing is ideal for timely computing on MVFD. Therefore, we are motivated to propose an edge computing based MVFD processing framework. In particular, we notice that the high volume feature of MVFD results in high data transmission delay. To solve this problem, we invent Data Fluidization Schedule (DFS) in our framework to reduce the data block volume and the latency on Input/Output (I/O). We evaluated the efficiency of our framework in a practical application on massive wind field data processing for cyclone recognition. The high efficiency our framework was verified by the fact that it significantly outperformed classical big data processing frameworks Spark and MapReduce.
Nowadays,study with smartphone has become common practice. By aiming at the problems existing in traditional method of learning mechanics principle,which basically show up as the students suffer fear and trouble when they realize the fact that theory and practice, as well as Concrete And Abstract Thinking are linked closely, this paper introduces designing and developing a Android-based platform for mechanics principle learning and applying. the platform integrates the idea,"happy Cognition" into the Android application design, in which a user-friendly interface and humanized menu will be included. in addition, the neural network algorithm and Servers building realized by some analysis and evaluations make the platform a great benefit to students' study. the platform combine study and entertainment,to help the learners by bringing them Systemic and dynamic cognition to mechanics principle, generating their creativity when designing common structure. So the platform will lead to good market prospect.
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