The generation method of three-dimensional fractal discrete fracture network(FDFN)based on multiplicative cascade process was developed.The complex multi-scale fracture system in shale after fracturing was characteriz...The generation method of three-dimensional fractal discrete fracture network(FDFN)based on multiplicative cascade process was developed.The complex multi-scale fracture system in shale after fracturing was characterized by coupling the artificial fracture model and the natural fracture model.Based on an assisted history matching(AHM)using multiple-proxy-based Markov chain Monte Carlo algorithm(MCMC),an embedded discrete fracture modeling(EDFM)incorporated with reservoir simulator was used to predict productivity of shale gas well.When using the natural fracture generation method,the distribution of natural fracture network can be controlled by fractal parameters,and the natural fracture network generated coupling with artificial fractures can characterize the complex system of different-scale fractures in shale after fracturing.The EDFM,with fewer grids and less computation time consumption,can characterize the attributes of natural fractures and artificial fractures flexibly,and simulate the details of mass transfer between matrix cells and fractures while reducing computation significantly.The combination of AMH and EDFM can lower the uncertainty of reservoir and fracture parameters,and realize effective inversion of key reservoir and fracture parameters and the productivity forecast of shale gas wells.Application demonstrates the results from the proposed productivity prediction model integrating FDFN,EDFM and AHM have high credibility.展开更多
Smart home-based care for elderly is the product of the “Internet+” era, along with the information technology and the growing needs for a better elderly life. In order to understand the influencing factors of smart...Smart home-based care for elderly is the product of the “Internet+” era, along with the information technology and the growing needs for a better elderly life. In order to understand the influencing factors of smart home care in Hengshui city, this paper selected 183 elderly people through a questionnaire survey. The conclusion of the study showed that education level, economic status, sleep quality and residence conditions are the influencing factors affecting the needs of smart home care of the elderly (p 0.05). Smart home care products for the elderly have a high willingness to use them, especially in terms of life care, medical services and emotional talk, but the compliance still needs to be improved. Development countermeasures suitable for Hengshui city can be put forward through the publicity of smart elderly care services, promoting the construction of demand-oriented big data, and promoting the participation of various forces.展开更多
Users, especially the non-expert users, commonly experience problems when connecting multiple devices with interoperability. While studies on multiple device connections are mostly concentrated on spontaneous device a...Users, especially the non-expert users, commonly experience problems when connecting multiple devices with interoperability. While studies on multiple device connections are mostly concentrated on spontaneous device association techniques with a focus on security aspects, the research on user interaction for device connection is still limited. More research into understanding people is needed for designers to devise usable techniques. This research applies the Research-through-Design method and studies the non-expert users' interactions in establishing wireless connections between devices. The "Learning from Examples" concept is adopted to develop a study focus line by learning from the expert users' interaction with devices. This focus line is then used for guiding researchers to explore the non-expert users' difficulties at each stage of the focus line. Finally, the Research-through-Design approach is used to understand the users' difficulties, gain insights to design problems and suggest usable solutions. When connecting a device, the user is required to manage not only the device's functionality but also the interaction between devices. Based on learning from failures, an important insight is found that the existing design approach to improve single-device interaction issues, such as improvements to graphical user interfaces or computer guidance, cannot help users to handle problems between multiple devices. This study finally proposes a desirable user-device interaction in which images of two devices function together with a system image to provide the user with feedback on the status of the connection, which allows them to infer any required actions.展开更多
The advent of the era of the smart economy has made agricultural production more intelligent.An increasing number of companies have launched a series of investment activities aimed at smart agricultural production(SAP...The advent of the era of the smart economy has made agricultural production more intelligent.An increasing number of companies have launched a series of investment activities aimed at smart agricultural production(SAP).However,whether smart agricultural production investment(SAPI)impacts the stock market has yet to be confirmed.Therefore,based on the sample data of 118 listed companies in China from 2010 to 2019,this study empirically examines the impact of SAPI announcements on shareholder value,as indicated by abnormal returns of stocks.Further,we tested the moderating effect of certain characteristic factors on abnormal stock returns.The research results illustrate a significant positive connection between SAPI announcements and shareholder value.Moreover,considering the announcement content and company factors,this study investigates the impacts of different investment targets and industries on the market reaction to SAPI announcements.We find that non-agricultural companies have a more positive market reaction to SAPI than agricultural companies;the higher the liability-asset ratio,the more positive will be the stock market reaction to SAPI.展开更多
The first part of this study is devoted to concepts, approaches and some examples of the fourth industrial revolution. The basis of this revolution also well known as Industry 4.0 builds so called cyber-physical syste...The first part of this study is devoted to concepts, approaches and some examples of the fourth industrial revolution. The basis of this revolution also well known as Industry 4.0 builds so called cyber-physical systems. They contain the integrated smart software systems including the internet address to enable the communication with envi- ronment as for product itself as for means of production and employees. All these enable the next level of efficiency and flexibility for both organizing and controlling of the value-creation chain over the whole lifecycle of products. In the first three chapters several Internet references and documents published by German Federal Ministry for Economic Affairs and Energy were used. Because of multiple cross references in documents, this report is written without detailed references in each paragraph of mentioned chapters. The last three chapters of the research presented undertake the short review of interdependencies between the Industry 4.0 and the well-known approach of computer-supported-cooperative-work established in the late 1980s. Long list of publications can be found in Wikipedia, and in many proceedings of ACM conferences on computer supported cooperative work (CSCW).展开更多
基金Supported by the National Science and Technology Major Project(2017ZX05063-005)Science and Technology Development Project of PetroChina Research Institute of Petroleum Exploration and Development(YGJ2019-12-04)。
文摘The generation method of three-dimensional fractal discrete fracture network(FDFN)based on multiplicative cascade process was developed.The complex multi-scale fracture system in shale after fracturing was characterized by coupling the artificial fracture model and the natural fracture model.Based on an assisted history matching(AHM)using multiple-proxy-based Markov chain Monte Carlo algorithm(MCMC),an embedded discrete fracture modeling(EDFM)incorporated with reservoir simulator was used to predict productivity of shale gas well.When using the natural fracture generation method,the distribution of natural fracture network can be controlled by fractal parameters,and the natural fracture network generated coupling with artificial fractures can characterize the complex system of different-scale fractures in shale after fracturing.The EDFM,with fewer grids and less computation time consumption,can characterize the attributes of natural fractures and artificial fractures flexibly,and simulate the details of mass transfer between matrix cells and fractures while reducing computation significantly.The combination of AMH and EDFM can lower the uncertainty of reservoir and fracture parameters,and realize effective inversion of key reservoir and fracture parameters and the productivity forecast of shale gas wells.Application demonstrates the results from the proposed productivity prediction model integrating FDFN,EDFM and AHM have high credibility.
文摘Smart home-based care for elderly is the product of the “Internet+” era, along with the information technology and the growing needs for a better elderly life. In order to understand the influencing factors of smart home care in Hengshui city, this paper selected 183 elderly people through a questionnaire survey. The conclusion of the study showed that education level, economic status, sleep quality and residence conditions are the influencing factors affecting the needs of smart home care of the elderly (p 0.05). Smart home care products for the elderly have a high willingness to use them, especially in terms of life care, medical services and emotional talk, but the compliance still needs to be improved. Development countermeasures suitable for Hengshui city can be put forward through the publicity of smart elderly care services, promoting the construction of demand-oriented big data, and promoting the participation of various forces.
文摘Users, especially the non-expert users, commonly experience problems when connecting multiple devices with interoperability. While studies on multiple device connections are mostly concentrated on spontaneous device association techniques with a focus on security aspects, the research on user interaction for device connection is still limited. More research into understanding people is needed for designers to devise usable techniques. This research applies the Research-through-Design method and studies the non-expert users' interactions in establishing wireless connections between devices. The "Learning from Examples" concept is adopted to develop a study focus line by learning from the expert users' interaction with devices. This focus line is then used for guiding researchers to explore the non-expert users' difficulties at each stage of the focus line. Finally, the Research-through-Design approach is used to understand the users' difficulties, gain insights to design problems and suggest usable solutions. When connecting a device, the user is required to manage not only the device's functionality but also the interaction between devices. Based on learning from failures, an important insight is found that the existing design approach to improve single-device interaction issues, such as improvements to graphical user interfaces or computer guidance, cannot help users to handle problems between multiple devices. This study finally proposes a desirable user-device interaction in which images of two devices function together with a system image to provide the user with feedback on the status of the connection, which allows them to infer any required actions.
基金funded by Major Program of the National Social Science Foundation of China(grant number No.18ZDA060).
文摘The advent of the era of the smart economy has made agricultural production more intelligent.An increasing number of companies have launched a series of investment activities aimed at smart agricultural production(SAP).However,whether smart agricultural production investment(SAPI)impacts the stock market has yet to be confirmed.Therefore,based on the sample data of 118 listed companies in China from 2010 to 2019,this study empirically examines the impact of SAPI announcements on shareholder value,as indicated by abnormal returns of stocks.Further,we tested the moderating effect of certain characteristic factors on abnormal stock returns.The research results illustrate a significant positive connection between SAPI announcements and shareholder value.Moreover,considering the announcement content and company factors,this study investigates the impacts of different investment targets and industries on the market reaction to SAPI announcements.We find that non-agricultural companies have a more positive market reaction to SAPI than agricultural companies;the higher the liability-asset ratio,the more positive will be the stock market reaction to SAPI.
文摘The first part of this study is devoted to concepts, approaches and some examples of the fourth industrial revolution. The basis of this revolution also well known as Industry 4.0 builds so called cyber-physical systems. They contain the integrated smart software systems including the internet address to enable the communication with envi- ronment as for product itself as for means of production and employees. All these enable the next level of efficiency and flexibility for both organizing and controlling of the value-creation chain over the whole lifecycle of products. In the first three chapters several Internet references and documents published by German Federal Ministry for Economic Affairs and Energy were used. Because of multiple cross references in documents, this report is written without detailed references in each paragraph of mentioned chapters. The last three chapters of the research presented undertake the short review of interdependencies between the Industry 4.0 and the well-known approach of computer-supported-cooperative-work established in the late 1980s. Long list of publications can be found in Wikipedia, and in many proceedings of ACM conferences on computer supported cooperative work (CSCW).