It is generally believed that intelligent management for sewage treatment plants(STPs) is essential to the sustainable engineering of future smart cities.The core of management lies in the precise prediction of daily ...It is generally believed that intelligent management for sewage treatment plants(STPs) is essential to the sustainable engineering of future smart cities.The core of management lies in the precise prediction of daily volumes of sewage.The generation of sewage is the result of multiple factors from the whole social system.Characterized by strong process abstraction ability,data mining techniques have been viewed as promising prediction methods to realize intelligent STP management.However,existing data mining-based methods for this purpose just focus on a single factor such as an economical or meteorological factor and ignore their collaborative effects.To address this challenge,a deep learning-based intelligent management mechanism for STPs is proposed,to predict business volume.Specifically,the grey relation algorithm(GRA) and gated recursive unit network(GRU) are combined into a prediction model(GRAGRU).The GRA is utilized to select the factors that have a significant impact on the sewage business volume,and the GRU is set up to output the prediction results.We conducted a large number of experiments to verify the efficiency of the proposed GRA-GRU model.展开更多
Globalization accelerates the speed of migration in the world and challenges the traditional citizenship based on nation-state. Similarly, China has been undergoing a huge movement of domestic migration, more than 200...Globalization accelerates the speed of migration in the world and challenges the traditional citizenship based on nation-state. Similarly, China has been undergoing a huge movement of domestic migration, more than 200 million farmers moving into cities and towns from the countryside, under the impact of modernization and globalization; this creates a great challenge to its traditional citizenship. The paper includes five parts and will： 1 ） give an overview of the whole process of this huge migration since the Reform and Opening Up at the end of the 1970s ; 2 ） analyze the internal and international dynamics of migration and particularly its great challenges to citizens＇ civil rights, obhgation, and identity; 3 ） illustrate Chinese policies dealing with the new large migration; 4, ） assess the essential changes in citizenship from this migration; and 5 ） find its meaning and consequence in terms of political philosophy.展开更多
基金Project(KJZD-M202000801) supported by the Major Project of Chongqing Municipal Education Commission,ChinaProject(2016YFE0205600) supported by the National Key Research&Development Program of China+1 种基金Project(CXQT19023) supported by the Chongqing University Innovation Group Project,ChinaProjects(KFJJ2018069,1853061,1856033) supported by the Key Platform Opening Project of Chongqing Technology and Business University,China。
文摘It is generally believed that intelligent management for sewage treatment plants(STPs) is essential to the sustainable engineering of future smart cities.The core of management lies in the precise prediction of daily volumes of sewage.The generation of sewage is the result of multiple factors from the whole social system.Characterized by strong process abstraction ability,data mining techniques have been viewed as promising prediction methods to realize intelligent STP management.However,existing data mining-based methods for this purpose just focus on a single factor such as an economical or meteorological factor and ignore their collaborative effects.To address this challenge,a deep learning-based intelligent management mechanism for STPs is proposed,to predict business volume.Specifically,the grey relation algorithm(GRA) and gated recursive unit network(GRU) are combined into a prediction model(GRAGRU).The GRA is utilized to select the factors that have a significant impact on the sewage business volume,and the GRU is set up to output the prediction results.We conducted a large number of experiments to verify the efficiency of the proposed GRA-GRU model.
文摘Globalization accelerates the speed of migration in the world and challenges the traditional citizenship based on nation-state. Similarly, China has been undergoing a huge movement of domestic migration, more than 200 million farmers moving into cities and towns from the countryside, under the impact of modernization and globalization; this creates a great challenge to its traditional citizenship. The paper includes five parts and will： 1 ） give an overview of the whole process of this huge migration since the Reform and Opening Up at the end of the 1970s ; 2 ） analyze the internal and international dynamics of migration and particularly its great challenges to citizens＇ civil rights, obhgation, and identity; 3 ） illustrate Chinese policies dealing with the new large migration; 4, ） assess the essential changes in citizenship from this migration; and 5 ） find its meaning and consequence in terms of political philosophy.
