Based on the survey data of 150 peasant households in typical Karst mountainous area in the year 2009, causations, characteristics and influence factors of the concurrent-business behavior of peasant households during...Based on the survey data of 150 peasant households in typical Karst mountainous area in the year 2009, causations, characteristics and influence factors of the concurrent-business behavior of peasant households during planting structure adjustment are analyzed. Result shows that there is significant positive correlation between the concurrent-business income and the household income of farmers. And the concurrent-business behavior has the tendency to be popular among the young farmers with the characteristics of relative concentration, strong will of farmers and the significant impact of education degree on the concurrent-business income. Information, capital, skill, and market awareness are the main factors affecting the concurrent-business behavior of peasant households. Countermeasures to optimize the concurrent-business behavior of peasant households are put forward, such as strengthening the skills training for farmers to improve the cultural quality of peasant households, establishing modern rural financial service system to offer capital support for the development of peasant households, setting up information base of rural labor force to provide more information and channels for the concurrent-business behavior of peasant households, and enhancing the cultivation of farmers' market awareness to improve their ability to adapt to market economy.展开更多
Remaining time prediction of business processes plays an important role in resource scheduling and plan making.The structural features of single process instance and the concurrent running of multiple process instance...Remaining time prediction of business processes plays an important role in resource scheduling and plan making.The structural features of single process instance and the concurrent running of multiple process instances are the main factors that affect the accuracy of the remaining time prediction.Existing prediction methods does not take full advantage of these two aspects into consideration.To address this issue,a new prediction method based on trace representation is proposed.More specifically,we first associate the prefix set generated by the event log to different states of the transition system,and encode the structural features of the prefixes in the state.Then,an annotation containing the feature representation for the prefix and the corresponding remaining time are added to each state to obtain an extended transition system.Next,states in the extended transition system are partitioned by the different lengths of the states,which considers concurrency among multiple process instances.Finally,the long short-term memory(LSTM)deep recurrent neural networks are applied to each partition for predicting the remaining time of new running instances.By extensive experimental evaluation using synthetic event logs and reallife event logs,we show that the proposed method outperforms existing baseline methods.展开更多
Since the 18th National Congress of the Communist Party of China( CPC),with the help of state policies,the new types of agricultural businesses have been flourishing. As one of the important forces of new types of agr...Since the 18th National Congress of the Communist Party of China( CPC),with the help of state policies,the new types of agricultural businesses have been flourishing. As one of the important forces of new types of agricultural businesses,the farmer's specialized cooperatives grow up rapidly in the development of the rural economy because of their characteristics which are consistent with the current rural economy. financial management is the core of the operation of farmer cooperatives,which directly affects the long-term sustainable development of cooperatives. Through the survey and analysis of the financial management of many farmers' cooperatives in Wei County,Hebei Province,this paper puts forward the deficiencies in the existing financial management of cooperatives. It also brings some reasonable suggestions to regulate and improve the financial management of cooperatives,in order to enhance the market competitiveness of farmers' cooperatives and realize better sustainable development of farmers' cooperatives.展开更多
基金Supported by the National Social Science Foundation of China(08XRK004)the Research Base Program of Humanities and Social Sciences of Guizhou Provincial Department of Education (08JD093)
文摘Based on the survey data of 150 peasant households in typical Karst mountainous area in the year 2009, causations, characteristics and influence factors of the concurrent-business behavior of peasant households during planting structure adjustment are analyzed. Result shows that there is significant positive correlation between the concurrent-business income and the household income of farmers. And the concurrent-business behavior has the tendency to be popular among the young farmers with the characteristics of relative concentration, strong will of farmers and the significant impact of education degree on the concurrent-business income. Information, capital, skill, and market awareness are the main factors affecting the concurrent-business behavior of peasant households. Countermeasures to optimize the concurrent-business behavior of peasant households are put forward, such as strengthening the skills training for farmers to improve the cultural quality of peasant households, establishing modern rural financial service system to offer capital support for the development of peasant households, setting up information base of rural labor force to provide more information and channels for the concurrent-business behavior of peasant households, and enhancing the cultivation of farmers' market awareness to improve their ability to adapt to market economy.
基金supported by National Natural Science Foundation of China(No.U1931207 and No.61702306)Sci.&Tech.Development Fund of Shandong Province of China(No.ZR2019LZH001,No.ZR2017BF015 and No.ZR2017MF027)+4 种基金the Humanities and Social Science Research Project of the Ministry of Education(No.18YJAZH017)Shandong Chongqing Science and technology cooperation project(No.cstc2020jscx-lyjsAX0008)Sci.&Tech.Development Fund of Qingdao(No.21-1-5-zlyj-1-zc)the Taishan Scholar Program of Shandong ProvinceSDUST Research Fund(No.2015TDJH102 and No.2019KJN024).
文摘Remaining time prediction of business processes plays an important role in resource scheduling and plan making.The structural features of single process instance and the concurrent running of multiple process instances are the main factors that affect the accuracy of the remaining time prediction.Existing prediction methods does not take full advantage of these two aspects into consideration.To address this issue,a new prediction method based on trace representation is proposed.More specifically,we first associate the prefix set generated by the event log to different states of the transition system,and encode the structural features of the prefixes in the state.Then,an annotation containing the feature representation for the prefix and the corresponding remaining time are added to each state to obtain an extended transition system.Next,states in the extended transition system are partitioned by the different lengths of the states,which considers concurrency among multiple process instances.Finally,the long short-term memory(LSTM)deep recurrent neural networks are applied to each partition for predicting the remaining time of new running instances.By extensive experimental evaluation using synthetic event logs and reallife event logs,we show that the proposed method outperforms existing baseline methods.
基金Supported by Tender Project of Agricultural University of Hebei Province(ZB201702)Research on Mechanism Innovation and Path Selection of Precise Poverty Alleviation-Based on Survey of 62 Poor Counties in Hebei Province&Social Science Fund Bidding Project of Agricultural University of Hebei Province in 2017(2016JD02)+3 种基金Research on Model and Mechanism Innovation of Industrial Precision Poverty Alleviation&Hebei Social Science Foundation Project(HB15GL072)Research on Innovative Path of Cultivating Mechanism of New Professional Farmers in Yanshan-Taihang Mountain Area under the Coordinated Development of Beijing,Tianjin and Hebei&Key Project of Hebei Provincial Department of Education(SD151020)Cultivation of New Professional Farmers in Hebei Province-Research on Concept,Mechanism and Path Innovation&Baoding Social Science Union Project(201501017)Research on Cultivation of New Professional Farmers in Yanshan-Taihang Mountain Area and Integration of "Two New"-Based on the View of Coordinated Development of Beijing,Tianjin and Hebei
文摘Since the 18th National Congress of the Communist Party of China( CPC),with the help of state policies,the new types of agricultural businesses have been flourishing. As one of the important forces of new types of agricultural businesses,the farmer's specialized cooperatives grow up rapidly in the development of the rural economy because of their characteristics which are consistent with the current rural economy. financial management is the core of the operation of farmer cooperatives,which directly affects the long-term sustainable development of cooperatives. Through the survey and analysis of the financial management of many farmers' cooperatives in Wei County,Hebei Province,this paper puts forward the deficiencies in the existing financial management of cooperatives. It also brings some reasonable suggestions to regulate and improve the financial management of cooperatives,in order to enhance the market competitiveness of farmers' cooperatives and realize better sustainable development of farmers' cooperatives.
