Narrow Results

The purpose of teaching evaluation is to explore the law of teaching, adjust the teaching content and improve the teaching methods, so as to promote the realization of teaching objectives and improve the teaching level. Therefore, the scientific establishment of the applicable teaching evaluation index is particularly important. In In this paper, the principal component analysis method is used to analyze and process the original data of teaching evaluation, and then the weight coefficient of the corresponding evaluation index is obtained. According to these weight coefficients, find out the index which has great influence on the teaching quality, and provide scientific basis for the teaching management department.

Most of the electric power accidents occur because of the damage of the extreme weather. Meanwhile, the meteorological disaster has the greatest influence on the power system. This paper chooses a selected region in Southeast China as an example, and collects the electric power accident data continuously for 48 months and corresponding data of 15 meteorological factors of this region. Then, using logistic regression to establish the impact model of meteorological factors to research on the relations between electric power accidents and weather conditions. After that, use the test data collected of another year to check the accuracy of the established model. The model is mainly used to set up a warning system on protecting the security of power grid. The electric power corporation can choose relevant preventive measures to reduce the possible losses that are caused by the hazard weather in the future.

This paper analyzes the effect of phonetic teaching on students’ listening ability and determines the correlation between the level of students’ pronunciation and listening ability, with sophomores in a marine college as experimental subjects. After the conclusion of the experimental teaching phase, data is collected and input into Statistical Product and Service Solutions (SPSS) software, which carries out descriptive statistics of the data, independent samples t-test, paired samples t-test and Pearson correlation analysis. The results demonstrate that the listening ability of the students in the experimental class with phonetic training is significantly different from those in the control class, and the students’ pronunciation level and listening ability is significantly and positively correlated.

This paper focuses in two aspects: the effect of wind farm on the wind in the downwind area and wind power instead of coal-fired thermal power to reduce PM2.5 emissions. Based on the statistical methods of Pearson correlation analysis and variance analysis to prove Beijing wind speed decreases and Hebei, Inner Mongolia wind power installed capacity increase has no significant correlation. By mathematical modeling, it turns out even if many wind turbines are built all over the world, wind power consumption only accounts for the total amount of global wind energy of 1K meters below in 10⁻⁴ magnitude, which can prove the wind farm extension effect on the leeward wind speed is very minimal. By calculating electricity per kilowatt coal-fired emissions of PM2.5, it draws the conclusion that wind power instead of thermal power can reduce 385,427 tons of PM2.5 emissions, which account for 1.693% of the total emissions all year round.

According to the present situation of Chinese and international coastal zone management, the research of multi-functional coastal zone is briefly introduced. By a comprehensive method of combining Principle Component Analysis, the multi-function coastal zone evaluation system is initially described. This provides a basis for future evaluation of multi-functional coastal zone planning, design and management. At the same time, it adds new connotation for in-depth development of marine environmental impacts assessment and sea area utilization demonstration processes.