英语让步构式"Just Because X Doesn’t Mean Y"(简称JBX-DMY)的研究一直未能解决认知识解的问题。文章一方面将识解操作视为认知基础,通过COCA语料观察,描述了JBX-DMY的识解方式、识解视点和识解方向,并提出在识解过程中存在...英语让步构式"Just Because X Doesn’t Mean Y"(简称JBX-DMY)的研究一直未能解决认知识解的问题。文章一方面将识解操作视为认知基础,通过COCA语料观察,描述了JBX-DMY的识解方式、识解视点和识解方向,并提出在识解过程中存在"隐喻-转喻"的认知机制。研究发现:(1)该构式的认知识解方式主要为顺序识解和同时识解;(2)该构式允准各种识解视点,但对识解方向有所限制,体现出部分能产性;(3)该构式的认知识解涉及"隐喻-转喻"机制。另一方面还将JBX-DMY与汉语让步构式"即使X,也Y"进行对比,发现它们具有类似的识解方式,但识解特点存在差异(1)。展开更多
The 2015 Paris COP 21, after the failure of the 2009 Copenhagen COP, raised many expectations regarding the elaboration of the post-Kyoto legal instrument to lead the global fight against climate change. At the sunset...The 2015 Paris COP 21, after the failure of the 2009 Copenhagen COP, raised many expectations regarding the elaboration of the post-Kyoto legal instrument to lead the global fight against climate change. At the sunset of the summit, world leaders and climate negotiators, relayed by mainstream Medias, presented the results of the Paris climate discussions as an important success for the global climate community. A success contested by climate justice and just transition defenders. Given the foundation role the Paris agreement plays for subsequent global, national and sub-national climate policies on one side and, on the other side, the continuous growing global demands for climate justice and just transition, this article investigates the conciliatory possibilities put in place by the agreement to advance those demands. To reach such goals, the article focuses on the retrospective critical reading of the agreement in the light of human-centered climate perspectives such as climate justice and just transition, without neglecting other aspects related to the very nature of the agreement, and the enhanced commodification of nature and resulting carbon trading. This analysis of the agreement through climate justice lenses will be instrumental in confirming or disproving the following hypothesis: From the climate justice and just transition perspectives, the success of the Paris regime will not pass through the implementation of the Paris agreement itself, but thought corrective mechanisms that could be put in place to correct the loopholes of the agreement. The initiative of putting such post-Paris corrective mechanisms in place is expected to be one of the key priorities of the international community.展开更多
Soft sensor is an efficacious solution to predict the hard-to-measure target variable by using the process variables.In practical application scenarios, however, the feedback cycle of target variable is usually larger...Soft sensor is an efficacious solution to predict the hard-to-measure target variable by using the process variables.In practical application scenarios, however, the feedback cycle of target variable is usually larger than that of the process variables, which causes the deficiency of prediction errors. Consequently soft sensor cannot be calibrated timely and deteriorates. We proposed a soft sensor calibration method by using Just-in-time modeling and Ada Boost learning method. A moving window consisting of a primary part and a secondary part is constructed.The primary part is made of history data from certain number of constant feedback cycles of target variable and the secondary part includes some coarse target values estimated initially by Just-in-time modeling during the latest feedback cycle of target variable. The data set of the whole moving window is processed by Ada Boost learning method to build an auxiliary estimation model and then target variable values of the latest corresponding feedback cycle are reestimated. Finally the soft sensor model is calibrated by using the reestimated target variable values when the target feedback is unavailable; otherwise using the feedback value. The feasibility and effectiveness of the proposed calibration method is tested and verified through a series of comparative experiments on a pH neutralization facility in our laboratory.展开更多
A new method was developed for batch process monitoring in this paper.In the developed method,just-in-time learning(J1TL) and independent component analysis(ICA) were integrated to build JITL-ICA monitoring scheme.JIT...A new method was developed for batch process monitoring in this paper.In the developed method,just-in-time learning(J1TL) and independent component analysis(ICA) were integrated to build JITL-ICA monitoring scheme.JITL was employed to tackle with the characteristics of batch process such as inherent timevarying dynamics,multiple operating phases,and especially the case of uneven length stage.According to new coming test data,the most correlated segmentation was obtained from batch-wise unfolded training data by JITL.Then,ICA served as the principal components extraction approach.Therefore,the non-Gaussian distributed data can also be addressed under this modeling framework.The effectiveness and superiority of JITL-ICA based monitoring method was demonstrated by fed-batch penicillin fermentation.展开更多
This paper provides a new obstacle avoidance control method for cars based on big data and just-in-time modeling. Just-in-time modeling is a new kind of data-driven control technique in the age of big data and is used...This paper provides a new obstacle avoidance control method for cars based on big data and just-in-time modeling. Just-in-time modeling is a new kind of data-driven control technique in the age of big data and is used in various real systems. The main property of the proposed method is that a gain and a control time which are parameters in the control input to avoid an encountered obstacle are computed from a database which includes a lot of driving data in various situations. Especially, the important advantage of the method is small computation time, and hence it realizes real-time obstacle avoidance control for cars. From some numerical simulations, it is showed that the new control method can make the car avoid various obstacles efficiently in comparison with the previous method.展开更多
A seamless multimodal transit system has been a goal for transportation planners and users. Owing to the developments of advanced public transportation and telecom technologies such as automatic vehicle location (AVL)...A seamless multimodal transit system has been a goal for transportation planners and users. Owing to the developments of advanced public transportation and telecom technologies such as automatic vehicle location (AVL) and real-time passenger information system, key just-in-time (JIT) concepts can now be realized in process design and coordinated scheduling to shape a seamless multimodal transit system. JIT refers to a production system that times both movements of goods during production and delivery from suppliers together. It meets the same logic for seamless multimodal services. Therefore, this study innovatively analyzes possible public transportation technologies for JIT uses;moreover, to layout the possible application frame-work of a transportation technology based JIT multimodal transit system for main station area in Taipei city. With this innovative framework, multimodal transit services can deliver to the right place at right time.展开更多
Many analytical or computational applications create documents and display screens in response to user queries “dynamically” or in “real time”. Hypermedia features must be generated “just in time” – automatical...Many analytical or computational applications create documents and display screens in response to user queries “dynamically” or in “real time”. Hypermedia features must be generated “just in time” – automatically and dynamically. Conversely, the hypermedia features may have to cause target documents to be generated or re-generated. This paper presents a just-in-time hypermedia framework to provide hypermedia support of virtual documents.展开更多
认知语法框架下的构式搭配分析通过参照一般认知能力描写情景编码的语义结构,并从认知加工的角度探究搭配的典型性和多样性,进而弥补认知构式语法在结果阐释阶段的不足。以让步构式Just Because X Doesn't Mean Y(JBX-DMY)为例,从...认知语法框架下的构式搭配分析通过参照一般认知能力描写情景编码的语义结构,并从认知加工的角度探究搭配的典型性和多样性,进而弥补认知构式语法在结果阐释阶段的不足。以让步构式Just Because X Doesn't Mean Y(JBX-DMY)为例,从侧显和视角两个维度对其代词共现词位进行阐释,并提出经验性和概念性理据的区分。展开更多
Considering the two-dimension(2 D) characteristic and the unknown optimal trajectory problem of the batch processes, an integrated model predictive control-iterative learning control(MPC-ILC) for batch processes is pr...Considering the two-dimension(2 D) characteristic and the unknown optimal trajectory problem of the batch processes, an integrated model predictive control-iterative learning control(MPC-ILC) for batch processes is proposed in this paper. Firstly, the batch-axis information and time-axis information are combined into one quadratic performance index. It implies the integration of ILC and MPC algorithm idea, which leads to superior tracking performance and better robustness against disturbance and uncertainty. To address the problem of the unknown optimal trajectory, both time-varying prediction horizon and end product quality control are employed. Moreover, an integrated 2 D just-in-time learning(JITL) model is used to improve the predictive accuracy. Furthermore, rigorous description and proof are presented to prove the convergence and tracking performance of the proposed MPC-ILC strategy. The simulation results show the effectiveness of the proposed method.展开更多
由日本汽车制造商丰田公司于20世纪中叶创建的Just in Time(JIT)(即时供应)几十年来一直是生产和库存管理的领先理念。美国的图书馆越来越多地将这种理念应用于管理馆藏和服务工作。这与几个世纪以来使用的更传统的Just-in-case(JIC)(...由日本汽车制造商丰田公司于20世纪中叶创建的Just in Time(JIT)(即时供应)几十年来一直是生产和库存管理的领先理念。美国的图书馆越来越多地将这种理念应用于管理馆藏和服务工作。这与几个世纪以来使用的更传统的Just-in-case(JIC)(备需供应)模型不同。从馆藏选择、馆藏建设、馆藏开发到现在的馆藏服务,分析描述图书馆馆藏专业活动的术语的演变,反映了图书馆在不同的时间建设馆藏的方法。JIT馆藏建设服务已经在美国的大多数图书馆中得到应用。什么是JIT馆藏服务以及它是如何应用的?本文通过美国图书馆的实践描述了JIT模型。展开更多
文摘英语让步构式"Just Because X Doesn’t Mean Y"(简称JBX-DMY)的研究一直未能解决认知识解的问题。文章一方面将识解操作视为认知基础,通过COCA语料观察,描述了JBX-DMY的识解方式、识解视点和识解方向,并提出在识解过程中存在"隐喻-转喻"的认知机制。研究发现:(1)该构式的认知识解方式主要为顺序识解和同时识解;(2)该构式允准各种识解视点,但对识解方向有所限制,体现出部分能产性;(3)该构式的认知识解涉及"隐喻-转喻"机制。另一方面还将JBX-DMY与汉语让步构式"即使X,也Y"进行对比,发现它们具有类似的识解方式,但识解特点存在差异(1)。
文摘The 2015 Paris COP 21, after the failure of the 2009 Copenhagen COP, raised many expectations regarding the elaboration of the post-Kyoto legal instrument to lead the global fight against climate change. At the sunset of the summit, world leaders and climate negotiators, relayed by mainstream Medias, presented the results of the Paris climate discussions as an important success for the global climate community. A success contested by climate justice and just transition defenders. Given the foundation role the Paris agreement plays for subsequent global, national and sub-national climate policies on one side and, on the other side, the continuous growing global demands for climate justice and just transition, this article investigates the conciliatory possibilities put in place by the agreement to advance those demands. To reach such goals, the article focuses on the retrospective critical reading of the agreement in the light of human-centered climate perspectives such as climate justice and just transition, without neglecting other aspects related to the very nature of the agreement, and the enhanced commodification of nature and resulting carbon trading. This analysis of the agreement through climate justice lenses will be instrumental in confirming or disproving the following hypothesis: From the climate justice and just transition perspectives, the success of the Paris regime will not pass through the implementation of the Paris agreement itself, but thought corrective mechanisms that could be put in place to correct the loopholes of the agreement. The initiative of putting such post-Paris corrective mechanisms in place is expected to be one of the key priorities of the international community.
基金Supported by the National Basic Research Program of China(2012CB720500)
文摘Soft sensor is an efficacious solution to predict the hard-to-measure target variable by using the process variables.In practical application scenarios, however, the feedback cycle of target variable is usually larger than that of the process variables, which causes the deficiency of prediction errors. Consequently soft sensor cannot be calibrated timely and deteriorates. We proposed a soft sensor calibration method by using Just-in-time modeling and Ada Boost learning method. A moving window consisting of a primary part and a secondary part is constructed.The primary part is made of history data from certain number of constant feedback cycles of target variable and the secondary part includes some coarse target values estimated initially by Just-in-time modeling during the latest feedback cycle of target variable. The data set of the whole moving window is processed by Ada Boost learning method to build an auxiliary estimation model and then target variable values of the latest corresponding feedback cycle are reestimated. Finally the soft sensor model is calibrated by using the reestimated target variable values when the target feedback is unavailable; otherwise using the feedback value. The feasibility and effectiveness of the proposed calibration method is tested and verified through a series of comparative experiments on a pH neutralization facility in our laboratory.
基金National Natural Science Foundations of China(Nos.61403256,61374132)Special Scientific Research of Selection and Cultivation of Excellent Young Teachers in Shanghai Universities,China(No.YYY11076)
文摘A new method was developed for batch process monitoring in this paper.In the developed method,just-in-time learning(J1TL) and independent component analysis(ICA) were integrated to build JITL-ICA monitoring scheme.JITL was employed to tackle with the characteristics of batch process such as inherent timevarying dynamics,multiple operating phases,and especially the case of uneven length stage.According to new coming test data,the most correlated segmentation was obtained from batch-wise unfolded training data by JITL.Then,ICA served as the principal components extraction approach.Therefore,the non-Gaussian distributed data can also be addressed under this modeling framework.The effectiveness and superiority of JITL-ICA based monitoring method was demonstrated by fed-batch penicillin fermentation.
文摘This paper provides a new obstacle avoidance control method for cars based on big data and just-in-time modeling. Just-in-time modeling is a new kind of data-driven control technique in the age of big data and is used in various real systems. The main property of the proposed method is that a gain and a control time which are parameters in the control input to avoid an encountered obstacle are computed from a database which includes a lot of driving data in various situations. Especially, the important advantage of the method is small computation time, and hence it realizes real-time obstacle avoidance control for cars. From some numerical simulations, it is showed that the new control method can make the car avoid various obstacles efficiently in comparison with the previous method.
文摘A seamless multimodal transit system has been a goal for transportation planners and users. Owing to the developments of advanced public transportation and telecom technologies such as automatic vehicle location (AVL) and real-time passenger information system, key just-in-time (JIT) concepts can now be realized in process design and coordinated scheduling to shape a seamless multimodal transit system. JIT refers to a production system that times both movements of goods during production and delivery from suppliers together. It meets the same logic for seamless multimodal services. Therefore, this study innovatively analyzes possible public transportation technologies for JIT uses;moreover, to layout the possible application frame-work of a transportation technology based JIT multimodal transit system for main station area in Taipei city. With this innovative framework, multimodal transit services can deliver to the right place at right time.
文摘Many analytical or computational applications create documents and display screens in response to user queries “dynamically” or in “real time”. Hypermedia features must be generated “just in time” – automatically and dynamically. Conversely, the hypermedia features may have to cause target documents to be generated or re-generated. This paper presents a just-in-time hypermedia framework to provide hypermedia support of virtual documents.
文摘认知语法框架下的构式搭配分析通过参照一般认知能力描写情景编码的语义结构,并从认知加工的角度探究搭配的典型性和多样性,进而弥补认知构式语法在结果阐释阶段的不足。以让步构式Just Because X Doesn't Mean Y(JBX-DMY)为例,从侧显和视角两个维度对其代词共现词位进行阐释,并提出经验性和概念性理据的区分。
基金Supported by the National Natural Science Foundation of China(61374044)Shanghai Science Technology Commission(15510722100,16111106300)Shanghai Municipal Education Commission(14ZZ088)
文摘Considering the two-dimension(2 D) characteristic and the unknown optimal trajectory problem of the batch processes, an integrated model predictive control-iterative learning control(MPC-ILC) for batch processes is proposed in this paper. Firstly, the batch-axis information and time-axis information are combined into one quadratic performance index. It implies the integration of ILC and MPC algorithm idea, which leads to superior tracking performance and better robustness against disturbance and uncertainty. To address the problem of the unknown optimal trajectory, both time-varying prediction horizon and end product quality control are employed. Moreover, an integrated 2 D just-in-time learning(JITL) model is used to improve the predictive accuracy. Furthermore, rigorous description and proof are presented to prove the convergence and tracking performance of the proposed MPC-ILC strategy. The simulation results show the effectiveness of the proposed method.
文摘由日本汽车制造商丰田公司于20世纪中叶创建的Just in Time(JIT)(即时供应)几十年来一直是生产和库存管理的领先理念。美国的图书馆越来越多地将这种理念应用于管理馆藏和服务工作。这与几个世纪以来使用的更传统的Just-in-case(JIC)(备需供应)模型不同。从馆藏选择、馆藏建设、馆藏开发到现在的馆藏服务,分析描述图书馆馆藏专业活动的术语的演变,反映了图书馆在不同的时间建设馆藏的方法。JIT馆藏建设服务已经在美国的大多数图书馆中得到应用。什么是JIT馆藏服务以及它是如何应用的?本文通过美国图书馆的实践描述了JIT模型。
