In order to improve the availability of solar energy, this paper introduces a new solar energy storage device and its parameters automatic measuring system. The device puts the heat which was gathered by synchronous tracking solar collector into underground concrete storage pile. Meanwhile, the system could simultaneously measure the temperature, pressure and flow of the device, etc. Some derived parameters such as thermal energy storage and thermal storage effectiveness can be obtained by calculation. According to the experimental results, the device is able to store the solar energy for seasons in the underground, and automatic measuring system could display the parameters and real-time curves on monitor and draw the history curves of all parameters. The data base of parameters could be built during the energy storage process. Furthermore, the energy storage report can be generated to obtain an automatic and digital energy storage process
Rampant terrorism poses a serious threat to the national security of many countries worldwide, particularly due to separatism and extreme nationalism. This paper focuses on the development and application of a temporal self-exciting point process model to the terror data of three countries: the US, Turkey, and the Philippines. To account for occurrences with the same time-stamp, this paper introduces the order mark and reward term in parameter selection. The reward term considers the triggering effect between events in the same time-stamp but different order. Additionally, this paper provides comparisons between the self-exciting models generated by day-based and month-based arrival times. Another highlight of this paper is the development of a model to predict the number of terror events using a combination of simulation and machine learning, specifically the random forest method, to achieve better predictions. This research offers an insightful approach to discover terror event patterns and forecast future occurrences of terror events, which may have practical application towards national security strategies.
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