This paper focuses on AI intelligence as the fundamental direction to conduct research on information system operation and maintenance(O&M).Combining current AI-supported technologies in information system O&M...This paper focuses on AI intelligence as the fundamental direction to conduct research on information system operation and maintenance(O&M).Combining current AI-supported technologies in information system O&M,it proposes O&M strategies such as intelligent fault prediction and diagnosis,intelligent system performance optimization,intelligent system security protection,and adaptive system O&M implementation.Practical applications reveal that AI intelligence technology offers significant advantages in information system O&M,effectively addressing pain points of traditional O&M techniques,such as low fault prediction rates,slow repair speeds,poor security interception,and high labor costs.This substantially enhances the effectiveness of information system O&M.展开更多
Risk analysis of reservoir flood control operation mode with forecast information(FCOMFI)is an important basis for the design and implementation of FCOMFI.Most of current researches on this issue are incomplete as the...Risk analysis of reservoir flood control operation mode with forecast information(FCOMFI)is an important basis for the design and implementation of FCOMFI.Most of current researches on this issue are incomplete as they only consider flood forecast errors,but not many other uncertainties in reservoir routing.In order to obtain an integrated risk rate of FCOMFI,this paper analyzes four uncertainties,i.e.hydrological,hydraulic,stage-storage uncertainty and time-delay uncertainty,as well as their probability distributions.On the basis of this analysis,an integrated risk analysis model of FCOMFI for reservoirs and its lower reach is established involving the above-mentioned four uncertainties,and this model is solved by Monte Carlo simulation based on Latin hypercube sampling.The simulation results,with Baiguishan reservoir as the example,show that the integrated risk rates of FCOMFI are less than those of the flood control operation mode without forecast information.This article presents the highest limited water level that satisfies flood control safety requirements of the lower reach.展开更多
We use a quasi-natural experiment wherein the Shanghai Stock Exchange requires listed companies in certain industries to disclose operational information and a staggered difference-in-differences model to examine the ...We use a quasi-natural experiment wherein the Shanghai Stock Exchange requires listed companies in certain industries to disclose operational information and a staggered difference-in-differences model to examine the impact of mandatory information disclosure on corporate innovation.We find that companies subject to mandatory operational information disclosure show significantly increased innovation.This effect is pronounced for companies classified as non-state-owned enterprises,facing severe financing constraints and a high degree of shareholder tunneling behavior and in competitive and high-tech industries.Although mandatory operational information disclosure reduces their competitive advantage,companies appear to compensate by increasing innovation.Our study highlights the positive impact of mandatory operational information disclosure,indicating that it contributes to the highquality development of both capital markets and companies.展开更多
In recent years, the metro system has advanced into an efficient transport system and become the mainstay of urban passenger transport in many mega-cities. Passenger flow is the foundation of making and coordinating o...In recent years, the metro system has advanced into an efficient transport system and become the mainstay of urban passenger transport in many mega-cities. Passenger flow is the foundation of making and coordinating operation plans for the metro system, and therefore, a variety of studies were conducted on transit assignment models. Nevertheless route choice sets of passengers also play a paramount role in flow estimation and demand prediction. This paper first discusses the main route constraints of which the train schedule is the most important, that distinguish rail networks from road networks. Then, a two-step approach to generate route choice set in a metro network is proposed. Particu- larly, the improved approach introduces a route filtenng with train operational information based on the conventional method. An initial numerical test shows that the proposed approach gives more reasonable route choice sets for scheduled metro networks, and, consequently, obtains more accurate results from passenger flow assignment. Recommendations for possible opportunities to apply this approach to metro operations are also provided, including its integration into a metro passenger flow assignment and simulation system in practice to help metro authorities provide more precise guidance information for passengers to travel.展开更多
文摘This paper focuses on AI intelligence as the fundamental direction to conduct research on information system operation and maintenance(O&M).Combining current AI-supported technologies in information system O&M,it proposes O&M strategies such as intelligent fault prediction and diagnosis,intelligent system performance optimization,intelligent system security protection,and adaptive system O&M implementation.Practical applications reveal that AI intelligence technology offers significant advantages in information system O&M,effectively addressing pain points of traditional O&M techniques,such as low fault prediction rates,slow repair speeds,poor security interception,and high labor costs.This substantially enhances the effectiveness of information system O&M.
基金supported by"Eleventh Five-Year"Technology Support Program of China(Grant No.2006BAB14B05)
文摘Risk analysis of reservoir flood control operation mode with forecast information(FCOMFI)is an important basis for the design and implementation of FCOMFI.Most of current researches on this issue are incomplete as they only consider flood forecast errors,but not many other uncertainties in reservoir routing.In order to obtain an integrated risk rate of FCOMFI,this paper analyzes four uncertainties,i.e.hydrological,hydraulic,stage-storage uncertainty and time-delay uncertainty,as well as their probability distributions.On the basis of this analysis,an integrated risk analysis model of FCOMFI for reservoirs and its lower reach is established involving the above-mentioned four uncertainties,and this model is solved by Monte Carlo simulation based on Latin hypercube sampling.The simulation results,with Baiguishan reservoir as the example,show that the integrated risk rates of FCOMFI are less than those of the flood control operation mode without forecast information.This article presents the highest limited water level that satisfies flood control safety requirements of the lower reach.
基金supported by the National Natural Science Foundation of China,China(Project No.71872176,71790602)
文摘We use a quasi-natural experiment wherein the Shanghai Stock Exchange requires listed companies in certain industries to disclose operational information and a staggered difference-in-differences model to examine the impact of mandatory information disclosure on corporate innovation.We find that companies subject to mandatory operational information disclosure show significantly increased innovation.This effect is pronounced for companies classified as non-state-owned enterprises,facing severe financing constraints and a high degree of shareholder tunneling behavior and in competitive and high-tech industries.Although mandatory operational information disclosure reduces their competitive advantage,companies appear to compensate by increasing innovation.Our study highlights the positive impact of mandatory operational information disclosure,indicating that it contributes to the highquality development of both capital markets and companies.
基金financially supported by the National Science and Technology Support Program of China(2011BAG01B01)Program for Young Excellent Talents at Tongji University (2014KJ015)+1 种基金Shanghai Philosophy and Social Science Funds (2015EGL006)Fundamental Research Funds for the Central Universities of China(1600219249)
文摘In recent years, the metro system has advanced into an efficient transport system and become the mainstay of urban passenger transport in many mega-cities. Passenger flow is the foundation of making and coordinating operation plans for the metro system, and therefore, a variety of studies were conducted on transit assignment models. Nevertheless route choice sets of passengers also play a paramount role in flow estimation and demand prediction. This paper first discusses the main route constraints of which the train schedule is the most important, that distinguish rail networks from road networks. Then, a two-step approach to generate route choice set in a metro network is proposed. Particu- larly, the improved approach introduces a route filtenng with train operational information based on the conventional method. An initial numerical test shows that the proposed approach gives more reasonable route choice sets for scheduled metro networks, and, consequently, obtains more accurate results from passenger flow assignment. Recommendations for possible opportunities to apply this approach to metro operations are also provided, including its integration into a metro passenger flow assignment and simulation system in practice to help metro authorities provide more precise guidance information for passengers to travel.
