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Based on four deep learning models(PredRNN++、MIM、CrevNet and PhyDNet), used the radar and precipitation data in Wuhan area from 2012 to 2019 and defined the radar echo area index, we examined and evaluated the forecasting performance of the four deep learning algorithms in nowcasting of radar echo with different echo area in Wuhan. The results are summarized as follows: (1) All models'forecasting ability decreases rapidly with the increase of echo intensity. The POD (Probability Of Detection) and CSI (Critical Success Index) of normal intensity are much higher than those under the strong intensity, while the FAR (False Alarm Rate) is far lower. (2) For both the normal intensity and the strong intensity radar echo, with the increase of radar echo's area all the models'POD increases and FAR decreases. As a result, the CSI improves. But those variation amplitude is more significant under the normal intensity. (3) In all types of echo areas, for both the normal intensity and strong intensity echo radar, the CSI and POD of PredRNN++ are the highest, while those of the CrevNet's are lower. The FAR of MIM is the lowest, but the differences between the models are more obviously under the normal intensity. and those differences may be mainly caused by the different intrinsic structure between each model. (4) Regardless of the area and intensity of radar echo, with the increase of forecast time, the POD of all deep learning models decreases slowly, while the FAR increases slowly. Therefore, the CSI decreases slowly. But with the forecast time extending, both the decline and the increase are smaller. However, the difference between large area and small area increases gradually.

In order to satisfy the spectrum requirements of the next generation international mobile telecommunication （IMT）system，to realize scientific allocation and usage of spectrum resources and to avoid spectrum waste brought by allocation in advance，there is a need to make a reasonable estimation for the spectrum demands of future IMT systems.The estimation results can also provide guidelines for the subsequent spectrum planning and assignment work.The progress of study related IMT spectrum estimation was given.From the analysis of current work and practical situation，the key factors in the estimation methodology were summarized to provide a reference for the following work.

This paper reports the organization and implementation of courses with ideological-political elements for postgraduates by means of questionnaires and interviews, and puts forward suggestions on improving the quality and learning outcomes of ideological-political courses, enhancing teachers awareness of courses with ideological-political elements and capacity building, establishing a curriculum reform system for courses with ideological-political elements, and paying attention to the synergistic effect between ideological-political elements and the relevant courses, so as to provide reference for the revision of syllabus,curriculum standard and remodeling of ideological-political courses.

Terminal equipment represented by inspection robots is widely used in substations. In the future, 5th-Generation (5G) mobile terminals will be more and more used in substations with the fast development of 5G technology. The performance of the communication system is closely related to the wireless channel. Therefore, it is very important to study the 5G communication channel characteristics of the mobile terminal in the substation. Aiming at the characteristics of the communication channel of 5G mobile terminals in the Three-Dimension (3D) scattering environment of substations, based on the multiple input multiple output technology, the article proposes to use geometric analysis to establish a 3D channel model, and derive the time autocorrelation function and spatial cross correlation function of the channel. Based on the 5G frequency band, the autocorrelation and cross-correlation characteristics of the wireless channel are simulated and analyzed. The influence of the Rice factor of different sizes on the wireless channel characteristics is also studied. The above simulation results show the availability of 5G terminals in substations, and broaden the research on mobile terminals using 5G communication technology in substation scenarios.