通讯机构：
[Jiao Jin; Xinyu Liu] S;School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha 410114, China<&wdkj&>School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha 410114, China<&wdkj&>Guangdong Provincial Key Laboratory of Modern Civil Engineering Technology, Guangzhou 510641, China
关键词：
Phase change materials;Asphalt mixtures;Thermal performance;Heat transfer model
作者机构：
[金娇; 肖梦承; 彭梧桐; 史金明] School of Traffic & Transportation Engineering, Changsha University of Science and Technology, Changsha, 410114, China;[潘杰] International College, Changsha University of Science and Technology, Changsha, 410114, China
作者机构：
[Chongchi Zeng] International College, Changsha University of Science and Technology, Changsha, Hunan
会议名称：
2021 International Conference on Information Science, Parallel and Distributed Systems (ISPDS)
会议时间：
August 2021
会议地点：
Hangzhou, China
会议论文集名称：
2021 International Conference on Information Science, Parallel and Distributed Systems (ISPDS)
关键词：
Higher education;AHP;BP neutral network;Principal analytic hierarchy process
摘要：
Expanding the scale of higher education has become the trend of the development of higher education in the world, which has had a far-reaching impact on all aspects of society and the higher education system. According to global statistics, the proportion of people receiving higher education is increasing, and the proportion of students who choose to enter or leave the country for further study is also increasing year by year. Higher education evaluation has become a hot topic in the society. This paper selects 12 reference indicators as the initial criteria for judging the quality of higher education. According to the collected education index data, this paper makes statistics on the relevant higher education indicators of the United States, Japan and other five countries. The weight of each index is compared by using the basic analytic hierarchy process model.After standardization, the TOPSIS method is used to score the health status of higher education systems in various countries. At the same time, the principal component analysis method is used to select the most influential factors and put forward corresponding suggestions for the development of higher education in our country. Then the neural network prediction model is used to verify the higher education evaluation scores of the selected countries, so as to verify the effectiveness of our model. The health evaluation model and sustainability evaluation model established in this paper can be evaluated not only in the field of higher education, but also in other aspects.
作者机构：
[Yueqing Li] School of Urban Construction, Yangtze University, Jingzhou, China;[Zhou Yunhao] School of Natural Science, Wuhan University of Technology, Wuhan, China;[Xiaoyu Chen] International College, Changsha University of Science & Technology, Changsha, China
会议名称：
2021 International Conference on E-Commerce and E-Management (ICECEM)
会议时间：
September 2021
会议地点：
Dalian, China
会议论文集名称：
2021 International Conference on E-Commerce and E-Management (ICECEM)
关键词：
Tropical cyclone;Risk assessment;Analytic hierarchy process;The coastal areas
摘要：
Tropical cyclone is a common natural disaster, which causes detriment along its routine. In this paper, using the analytic hierarchy process (ahp) to conduct the risk assessment of tropical cyclones in the 15 coastal cities in China and analysis. Selecting 15 cities along the coast of China as the research object, the tropical cyclone disaster risk, the vulnerability of hazard-affected body, disaster prevention and mitigation capacity in preliminary evaluation. The evaluation index and 19 poor value are selected to standardize data processing, and then the weighted comprehensive evaluation method was used to obtain each evaluation index. On this basis, the comprehensive risk assessment system of tropical cyclone disaster was established, and the risk distribution of tropical cyclone in coastal areas of China was obtained. The results showed that: (1) Yangjiang, Haikou, Xiamen and other cities were seriously affected by tropical cyclones, and they were also high risk areas, so the early warning of tropical cyclones should be improved in this area; (2) The high value areas of vulnerability of disaster bearing bodies are mainly distributed in Shanghai, Xiamen, Guangzhou and other cities; (3) Shantou, Yangjiang, Wenzhou and other cities are relatively weak in disaster prevention and mitigation capacity, these areas should strengthen investment in infrastructure and medical and health care. In general, the tropical cyclone risk index in the south coast of China is generally higher than that in the north coast.
作者机构：
[Jingran Zhang] International College, Changsha University of Science & Technology, Changsha, China;[Yuchen Miao] Wuhan Sannew Middle School, Wuhan, China;[Zichen Yang] Chang'an Dublin International College of Transportation, Chang'an University, Xi'an, China;[Yang Yang] College of Civil Engineering, Ningbo University, Ningbo, China
会议名称：
2021 International Conference on E-Commerce and E-Management (ICECEM)
会议时间：
September 2021
会议地点：
Dalian, China
会议论文集名称：
2021 International Conference on E-Commerce and E-Management (ICECEM)
关键词：
Estimation of earthquake disaster;earthquake prevention;analytic hierarchy process
摘要：
In today's society, earthquake has brought many hazards to us, including but not limited to building collapse, landslide, soil damage, tsunami, fire and so on. These disasters have taken a heavy toll on our economy. Therefore, from reducing disaster loss to reducing disaster risk, the research on earthquake disaster assessment is the foundation. In this paper, based on the four factors of earthquake risk, exposure degree of disaster-bearing body, vulnerability of disaster-bearing body and ability of earthquake resistance and mitigation, and 12 factors of earthquake intensity and frequency, a risk assessment model of earthquake disaster in western China is constructed, and an evaluation index system is determined. The risk of earthquake disaster in six western provinces of China is evaluated by analytic hierarchy process (AHP), and the evaluation results are compared and analyzed. The results show that each index factor has different influence on the risk disaster in different provinces. The main factors that affect the risk of earthquake disaster in Xizang are the frequency and intensity of earthquake and the natural growth rate of population. The frequency, intensity and unemployment rate of earthquake are the main factors that affect the risk of earthquake disaster in Xinjiang. By analyzing the influence degree of each index on earthquake disaster risk, the weak links of disaster prevention and mitigation in this area can be understood. Among them, earthquake risk is the main factor that causes earthquake disaster risk, and the exposure and vulnerability of the disaster bearing body are also important factors. The risk of earthquake disaster in western China is different. Sichuan province is at the highest risk, while Qinghai province is at the lowest. The evaluation results can provide the decision-making basis for the government to strengthen the management of earthquake prevention and disaster reduction, and reduce the risk of earthquake disaster reasonably and as far as possible.
