Debate on whether American Southern Literature still exists in the postmodern era poses a hot topic in contemporary literary world. Among the many southern-born writers, Richard Ford publicly denied to be labeled as a...Debate on whether American Southern Literature still exists in the postmodern era poses a hot topic in contemporary literary world. Among the many southern-born writers, Richard Ford publicly denied to be labeled as a southern writer. The author of this paper holds a close study of how time and place, two major traditional southern themes are treated in Richard Ford's Sportswriter, and draws the conclusion that despite the southern staples embedded in the novel, Richard Ford, as a representative of postmodern writers, works for a national or even universal writing by successfully fusing southern tradition and postmodern temper in a crossroad of history.展开更多
To improve the diagnosis accuracy and self-adaptability of fatigue crack in ulterior place of the supporting shaft, time series and neural network are attempted to be applied in research on diag-nosing the fatigue cr...To improve the diagnosis accuracy and self-adaptability of fatigue crack in ulterior place of the supporting shaft, time series and neural network are attempted to be applied in research on diag-nosing the fatigue crack’s degree based on analyzing the vibration characteristics of the supporting shaft. By analyzing the characteristic parameter which is easy to be detected from the supporting shaft’s exterior, the time series model parameter which is hypersensitive to the situation of fatigue crack in ulterior place of the supporting shaft is the target input of neural network, and the fatigue crack’s degree value of supporting shaft is the output. The BP network model can be built and net-work can be trained after the structural parameters of network are selected. Furthermore, choosing the other two different group data can test the network. The test result will verify the validity of the BP network model. The result of experiment shows that the method of time series and neural network are effective to diagnose the occurrence and the development of the fatigue crack’s degree in ulterior place of the supporting shaft.展开更多
Pebble bed reactors use cycling scheme of spherical fuel elements relying on fuel elements cycling system (FECS). The structure and control logic of FECS are very complex. Each control link has strict requirements on ...Pebble bed reactors use cycling scheme of spherical fuel elements relying on fuel elements cycling system (FECS). The structure and control logic of FECS are very complex. Each control link has strict requirements on time and sequence. This increases the difficulties of description and analysis. In this paper, timed places control Petri nets (TPCPN) is applied for the modeling of FECS. On this basis the simulation of two important processes, namely uploading fuel elements into the core for the first time and emptying the core is finished by simulation software Arena. The results show that as TPCPN is able to describe different kinds of logic relationship and has time properties and control properties, it’s very suitable for the modeling and analysis of FECS.展开更多
Ravi Shankar Narasimhan,executive editor of China Daily's overseas editions,was one of 70-plus foreign experts invited to the Great Hall of the People on January 21 for a symposium and a Chinese New Year dinner wi...Ravi Shankar Narasimhan,executive editor of China Daily's overseas editions,was one of 70-plus foreign experts invited to the Great Hall of the People on January 21 for a symposium and a Chinese New Year dinner with Premier Li Keqiang and senior State leaders.展开更多
Inter-purchase time is a critical factor for predicting customer churn.Improving the prediction accuracy can exploit consumer’s preference and allow businesses to learn about product or pricing plan weak points,opera...Inter-purchase time is a critical factor for predicting customer churn.Improving the prediction accuracy can exploit consumer’s preference and allow businesses to learn about product or pricing plan weak points,operation issues,as well as customer expectations to proactively reduce reasons for churn.Although remarkable progress has been made,classic statistical models are difficult to capture behavioral characteristics in transaction data because transaction data are dependent and short-,medium-,and long-term data are likely to interfere with each other sequentially.Different from literature,this study proposed a hybrid inter-purchase time prediction model for customers of on-line retailers.Moreover,the analysis of differences in the purchase behavior of customers has been particularly highlighted.The integrated self-organizing map and Recurrent Neural Network technique is proposed to not only address the problem of purchase behavior but also improve the prediction accuracy of inter-purchase time.The permutation importance method was used to identify crucial variables in the prediction model and to interpret customer purchase behavior.The performance of the proposed method is evaluated by comparing the prediction with the results of three competing approaches on the transaction data provided by a leading e-retailer in Taiwan.This study provides a valuable reference for marketing professionals to better understand and develop strategies to attract customers to shorten their inter-purchase times.展开更多
Short,momentary,temporary,transient,precarious,and labile are adjectives that the current post-pandemic,ecological,climatic,war,political,economic,and social contingencies have accustomed us to employ almost compulsiv...Short,momentary,temporary,transient,precarious,and labile are adjectives that the current post-pandemic,ecological,climatic,war,political,economic,and social contingencies have accustomed us to employ almost compulsively and indiscriminately by now,and that,beyond everything,are synonyms inter-implicit with and in the ephemerality,which deserves reconsideration in its literalness as epìheméra(for a day),that can take place through a sort of its“double”,not quite mainstream but nonetheless suggestive and perhaps even effective,such as the artistic one of dance.Therefore,it is worth pausing to try and see which streaks/implications of the ephemerality itself the dance-ephemeral conveys and/or produces:the neuralgic concretions that the latter seems to me to involve and permeate,in a perspective of re-cognition/re-discovery/awareness,are time,space and the body,evidently inter-implicated.展开更多
针对混流装配线工序加工资源需求多样、工艺复杂、装配工期长等问题,采用Petri网和改进遗传算法对该问题进行优化求解。建立混流装配线赋时库所Petri网(timed place Petri net, TPPN)调度模型,基于模型激发序列,采用基于工序的编码方式...针对混流装配线工序加工资源需求多样、工艺复杂、装配工期长等问题,采用Petri网和改进遗传算法对该问题进行优化求解。建立混流装配线赋时库所Petri网(timed place Petri net, TPPN)调度模型,基于模型激发序列,采用基于工序的编码方式进行染色体编码;采用精英保留策略选择优异个体,改进遗传算法的交叉、变异操作,用改进后的遗传算法求解混流装配线调度问题。通过对比案例及实例数据计算结果验证了方案的有效性。展开更多
文摘Debate on whether American Southern Literature still exists in the postmodern era poses a hot topic in contemporary literary world. Among the many southern-born writers, Richard Ford publicly denied to be labeled as a southern writer. The author of this paper holds a close study of how time and place, two major traditional southern themes are treated in Richard Ford's Sportswriter, and draws the conclusion that despite the southern staples embedded in the novel, Richard Ford, as a representative of postmodern writers, works for a national or even universal writing by successfully fusing southern tradition and postmodern temper in a crossroad of history.
基金This project is supported by National Natural Science Fundation of China (No. 50675066)Provincial Key Technologies R&D of Hunan, China (No. 05FJ2001)China Postdoctoral Science Foundation (No. 2005038006).
文摘To improve the diagnosis accuracy and self-adaptability of fatigue crack in ulterior place of the supporting shaft, time series and neural network are attempted to be applied in research on diag-nosing the fatigue crack’s degree based on analyzing the vibration characteristics of the supporting shaft. By analyzing the characteristic parameter which is easy to be detected from the supporting shaft’s exterior, the time series model parameter which is hypersensitive to the situation of fatigue crack in ulterior place of the supporting shaft is the target input of neural network, and the fatigue crack’s degree value of supporting shaft is the output. The BP network model can be built and net-work can be trained after the structural parameters of network are selected. Furthermore, choosing the other two different group data can test the network. The test result will verify the validity of the BP network model. The result of experiment shows that the method of time series and neural network are effective to diagnose the occurrence and the development of the fatigue crack’s degree in ulterior place of the supporting shaft.
文摘Pebble bed reactors use cycling scheme of spherical fuel elements relying on fuel elements cycling system (FECS). The structure and control logic of FECS are very complex. Each control link has strict requirements on time and sequence. This increases the difficulties of description and analysis. In this paper, timed places control Petri nets (TPCPN) is applied for the modeling of FECS. On this basis the simulation of two important processes, namely uploading fuel elements into the core for the first time and emptying the core is finished by simulation software Arena. The results show that as TPCPN is able to describe different kinds of logic relationship and has time properties and control properties, it’s very suitable for the modeling and analysis of FECS.
文摘Ravi Shankar Narasimhan,executive editor of China Daily's overseas editions,was one of 70-plus foreign experts invited to the Great Hall of the People on January 21 for a symposium and a Chinese New Year dinner with Premier Li Keqiang and senior State leaders.
基金gratefully acknowledge financial support of the MOST 110-2221-E-027-110.
文摘Inter-purchase time is a critical factor for predicting customer churn.Improving the prediction accuracy can exploit consumer’s preference and allow businesses to learn about product or pricing plan weak points,operation issues,as well as customer expectations to proactively reduce reasons for churn.Although remarkable progress has been made,classic statistical models are difficult to capture behavioral characteristics in transaction data because transaction data are dependent and short-,medium-,and long-term data are likely to interfere with each other sequentially.Different from literature,this study proposed a hybrid inter-purchase time prediction model for customers of on-line retailers.Moreover,the analysis of differences in the purchase behavior of customers has been particularly highlighted.The integrated self-organizing map and Recurrent Neural Network technique is proposed to not only address the problem of purchase behavior but also improve the prediction accuracy of inter-purchase time.The permutation importance method was used to identify crucial variables in the prediction model and to interpret customer purchase behavior.The performance of the proposed method is evaluated by comparing the prediction with the results of three competing approaches on the transaction data provided by a leading e-retailer in Taiwan.This study provides a valuable reference for marketing professionals to better understand and develop strategies to attract customers to shorten their inter-purchase times.
文摘Short,momentary,temporary,transient,precarious,and labile are adjectives that the current post-pandemic,ecological,climatic,war,political,economic,and social contingencies have accustomed us to employ almost compulsively and indiscriminately by now,and that,beyond everything,are synonyms inter-implicit with and in the ephemerality,which deserves reconsideration in its literalness as epìheméra(for a day),that can take place through a sort of its“double”,not quite mainstream but nonetheless suggestive and perhaps even effective,such as the artistic one of dance.Therefore,it is worth pausing to try and see which streaks/implications of the ephemerality itself the dance-ephemeral conveys and/or produces:the neuralgic concretions that the latter seems to me to involve and permeate,in a perspective of re-cognition/re-discovery/awareness,are time,space and the body,evidently inter-implicated.
文摘针对混流装配线工序加工资源需求多样、工艺复杂、装配工期长等问题,采用Petri网和改进遗传算法对该问题进行优化求解。建立混流装配线赋时库所Petri网(timed place Petri net, TPPN)调度模型,基于模型激发序列,采用基于工序的编码方式进行染色体编码;采用精英保留策略选择优异个体,改进遗传算法的交叉、变异操作,用改进后的遗传算法求解混流装配线调度问题。通过对比案例及实例数据计算结果验证了方案的有效性。
