This experimental study investigated how text difficulty and different working memory capacity(WMC)affected Chinese EFL learners’reading comprehension and their tendency to engage in task-unrelated thoughts,that is,m...This experimental study investigated how text difficulty and different working memory capacity(WMC)affected Chinese EFL learners’reading comprehension and their tendency to engage in task-unrelated thoughts,that is,mind wandering(MW),in the course of reading.Sixty first-year university non-English majors participated in the study.A two-factor mixed experimental design of 2(text difficulty:difficult and simple)×2(WMC:high/large and low/small)was employed.Results revealed that 1)the main and interaction effects of WMC and text difficulty on voluntary MW were significant,whereas those on involuntary MW were not;2)while reading the easy texts,the involuntary MW of high-WMC individuals was less frequent than that of low-WMC ones,whereas while reading the difficult ones,the direct relationship between WMC and involuntary MW was not found;and that 3)high-WMC individuals had a lower overall rate of MW and better reading performance than low-WMC individuals did,but with increasing text difficulty,their rates of overall MW and voluntary MW were getting higher and higher,and the reading performance was getting lower and lower.These results lend support to WM theory and have pedagogical implications for the instruction of L2 reading.展开更多
威廉·奥古斯特·拉伊(Wilhelm August Lay,1862—1926)是“实验教育学”的主要代表人物之一。实验教育学运用自然科学的范式研究教育现象,在教育学的历史发展过程中,对教育理论和实践、对教育研究产生了一定的影响。拉伊在其...威廉·奥古斯特·拉伊(Wilhelm August Lay,1862—1926)是“实验教育学”的主要代表人物之一。实验教育学运用自然科学的范式研究教育现象,在教育学的历史发展过程中,对教育理论和实践、对教育研究产生了一定的影响。拉伊在其中发挥了重要的作用。展开更多
Freeform surface measurement is a key basic technology for product quality control and reverse engineering in aerospace field.Surface measurement technology based on multi-sensor fusion such as laser scanner and conta...Freeform surface measurement is a key basic technology for product quality control and reverse engineering in aerospace field.Surface measurement technology based on multi-sensor fusion such as laser scanner and contact probe can combine the complementary characteristics of different sensors,and has been widely concerned in industry and academia.The number and distribution of measurement points will significantly affect the efficiency of multisensor fusion and the accuracy of surface reconstruction.An aggregation‑value‑based active sampling method for multisensor freeform surface measurement and reconstruction is proposed.Based on game theory iteration,probe measurement points are generated actively,and the importance of each measurement point on freeform surface to multi-sensor fusion is clearly defined as Shapley value of the measurement point.Thus,the problem of obtaining the optimal measurement point set is transformed into the problem of maximizing the aggregation value of the sample set.Simulation and real measurement results verify that the proposed method can significantly reduce the required probe sample size while ensuring the measurement accuracy of multi-sensor fusion.展开更多
Smart material and structure (SMS) is a challenging novel technique for the 21 century especially in fields of aviation and aerospace. Vibration and noise suppression smart structure is an important branch of SMS. T...Smart material and structure (SMS) is a challenging novel technique for the 21 century especially in fields of aviation and aerospace. Vibration and noise suppression smart structure is an important branch of SMS. There are several typical structures such as the cabin of an airplane, space station, the solar board of satellite and the rotor blade of a helicopter, of which the vibrations and radiation noises have bad influences on precise equipments and aiming systems. In order to suppress vibrations and noises of these structures, several algorithms are applied to the models which simulate the structures. Experiments are performed to suppress vibrations and noises by bonding sensors and actuators to the structures at the optimized locations and using computer based measurement and control systems. For the blade vibration control of a helicopter, a non contact method of signal transmission by magneto electric coupling is discussed. The experimental results demonstrate that the methods used for active control are effective.展开更多
Goals of traditional Chinese medicine(TCM)include precision,accuracy,and recognition by clinical practice.Establishment of a diagnosis and treatment system that closely conforms to the principle-method-recipe-medicine...Goals of traditional Chinese medicine(TCM)include precision,accuracy,and recognition by clinical practice.Establishment of a diagnosis and treatment system that closely conforms to the principle-method-recipe-medicines system and derivation of an accurate diagnosis and treatment plan should be considerations of TCM.Artificial intelligence research based on computer technology is one of the effective ways to solve this problem.In the research of intelligent diagnosis path,reflecting the characteristics of the overall view and dialectical treatment of TCM such as"Combination of four diagnostic methods""overall examination""combination of disease and syndrome"and"treatment individualized to patient,season and locality"are key for successful research of artificial intelligence in TCM diagnosis or recognition by clinical practice.展开更多
Weak feature extraction is of great importance for condition monitoring and intelligent diagnosis of aeroengine.Aimed at achieving intelligent diagnosis of aero-engine main shaft bearing,an enhanced sparsity-assisted ...Weak feature extraction is of great importance for condition monitoring and intelligent diagnosis of aeroengine.Aimed at achieving intelligent diagnosis of aero-engine main shaft bearing,an enhanced sparsity-assisted intelligent condition monitoring method is proposed in this paper.Through analyzing the weakness of convex sparse model,i.e.the tradeoff between noise reduction and feature reconstruction,this paper proposes an enhanced-sparsity nonconvex regularized convex model based on Moreau envelope to achieve weak feature extraction.Accordingly,a sparsity-assisted deep convolutional variational autoencoders network is proposed,which achieves the intelligent identification of fault state through training denoised normal data.Finally,the effectiveness of the proposed method is verified through aero-engine bearing run-to-failure experiment.The comparison results show that the proposed method is good at abnormal pattern recognition,showing a good potential for weak fault intelligent diagnosis of aero-engine main shaft bearings.展开更多
This paper intends to introduce the active vision system with autonomous robot competition in the background. It presents some characteristics of the human oculomotor system in active ma-chine vision svstem: smooth pu...This paper intends to introduce the active vision system with autonomous robot competition in the background. It presents some characteristics of the human oculomotor system in active ma-chine vision svstem: smooth pursuit and saccade. Besides, zoom tracking is used to continuous ad-justment of a camera's focal length to keep a constant sized image of an object moving along the camera's optical axis. Experiments indicate the technology to be efficient for tracking the bail in the robot competition.展开更多
Orwell＇s text The Road to Wigan Pier, henceforth referred to as RWP, is problematic due to the ambiguity of its status as a literary genre. The text is subversive on many levels, namely on the level of form. In order...Orwell＇s text The Road to Wigan Pier, henceforth referred to as RWP, is problematic due to the ambiguity of its status as a literary genre. The text is subversive on many levels, namely on the level of form. In order to show some aspects of the author＇s challenge of the conventional norms and methods of literary writing, a comparison between the writer＇s original diary of the journey to the industrial North of England, the main site of the coal mines, and the present book could be of great import. This reveals the author＇s genuine intellectual ability to manipulate and rearrange the events and scenes of the story on the discourse level. The author＇s manipulation and rearrangement of the story （the journey）, events and scenes, clearly reveals his potential literary creativity and imagination. Orwell has deployed many strategies to fulfil this purpose. Each strategy is actually a contribution to the author＇s overall argument and at the same time it constitutes a further aspect of subversion. The first aspect of subversion lies on the level of form itself. The form of the book is effectively very challenging. Contrary to the conventional view of the fictional novel, the study of Orwell＇s text based on Grrard Genette＇s model reveals his challenge of the basic novelistic parameters. The novelistic ingredients such as setting, characterisation, and plot development have been treated in a subverting way. Though not totally discarded, they have been manipulated for the purpose of the author＇s general argument, which is Socialism. For instance, characters in the novel are treated as types, that is, representatives of their class. Besides, the order of scenes and events has been rearranged for the purpose of foregrounding representative scenes like the description of the Brookers＇ lodging-house. The author＇s treatment of the material of the text is primarily based on his personal experience as an outside observer during his journey to the North. Therefore, the exploration of the novel from a structuralist perspective based on Genette＇s model does not merely aim at the pure application of some literary and critical approaches to Orwell＇s text. This may be misleading since the investigation may fall in superficiality and simplicity. But the strategy deployed is actually a further contribution to the author＇s general argument and a manifestation of the novel＇s status as a creative and subversive text.展开更多
The application of reinforcement learning is widely used by multi-agent systems in recent years. An agent uses a multi-agent system to cooperate with other agents to accomplish the given task, and one agent′s behavio...The application of reinforcement learning is widely used by multi-agent systems in recent years. An agent uses a multi-agent system to cooperate with other agents to accomplish the given task, and one agent′s behavior usually affects the others′ behaviors. In traditional reinforcement learning, one agent takes the others location, so it is difficult to consider the others′ behavior, which decreases the learning efficiency. This paper proposes multi-agent reinforcement learning with cooperation based on eligibility traces, i.e. one agent estimates the other agent′s behavior with the other agent′s eligibility traces. The results of this simulation prove the validity of the proposed learning method.展开更多
文摘This experimental study investigated how text difficulty and different working memory capacity(WMC)affected Chinese EFL learners’reading comprehension and their tendency to engage in task-unrelated thoughts,that is,mind wandering(MW),in the course of reading.Sixty first-year university non-English majors participated in the study.A two-factor mixed experimental design of 2(text difficulty:difficult and simple)×2(WMC:high/large and low/small)was employed.Results revealed that 1)the main and interaction effects of WMC and text difficulty on voluntary MW were significant,whereas those on involuntary MW were not;2)while reading the easy texts,the involuntary MW of high-WMC individuals was less frequent than that of low-WMC ones,whereas while reading the difficult ones,the direct relationship between WMC and involuntary MW was not found;and that 3)high-WMC individuals had a lower overall rate of MW and better reading performance than low-WMC individuals did,but with increasing text difficulty,their rates of overall MW and voluntary MW were getting higher and higher,and the reading performance was getting lower and lower.These results lend support to WM theory and have pedagogical implications for the instruction of L2 reading.
基金supported by the Na‑tional Key R&D Program of China(No.2022YFB3402600)the National Science Fund for Distinguished Young Scholars(No.51925505)+1 种基金the General Program of National Natural Science Foundation of China(No.52275491)Joint Funds of the National Natural Science Foundation of China(No.U21B2081).
文摘Freeform surface measurement is a key basic technology for product quality control and reverse engineering in aerospace field.Surface measurement technology based on multi-sensor fusion such as laser scanner and contact probe can combine the complementary characteristics of different sensors,and has been widely concerned in industry and academia.The number and distribution of measurement points will significantly affect the efficiency of multisensor fusion and the accuracy of surface reconstruction.An aggregation‑value‑based active sampling method for multisensor freeform surface measurement and reconstruction is proposed.Based on game theory iteration,probe measurement points are generated actively,and the importance of each measurement point on freeform surface to multi-sensor fusion is clearly defined as Shapley value of the measurement point.Thus,the problem of obtaining the optimal measurement point set is transformed into the problem of maximizing the aggregation value of the sample set.Simulation and real measurement results verify that the proposed method can significantly reduce the required probe sample size while ensuring the measurement accuracy of multi-sensor fusion.
文摘Smart material and structure (SMS) is a challenging novel technique for the 21 century especially in fields of aviation and aerospace. Vibration and noise suppression smart structure is an important branch of SMS. There are several typical structures such as the cabin of an airplane, space station, the solar board of satellite and the rotor blade of a helicopter, of which the vibrations and radiation noises have bad influences on precise equipments and aiming systems. In order to suppress vibrations and noises of these structures, several algorithms are applied to the models which simulate the structures. Experiments are performed to suppress vibrations and noises by bonding sensors and actuators to the structures at the optimized locations and using computer based measurement and control systems. For the blade vibration control of a helicopter, a non contact method of signal transmission by magneto electric coupling is discussed. The experimental results demonstrate that the methods used for active control are effective.
基金the funding support from the Open Fund Project of State Key Subjects of Chinese Medicine Diagnostics,Hunan University of Chinese Medicine(No.2015ZYZD01).
文摘Goals of traditional Chinese medicine(TCM)include precision,accuracy,and recognition by clinical practice.Establishment of a diagnosis and treatment system that closely conforms to the principle-method-recipe-medicines system and derivation of an accurate diagnosis and treatment plan should be considerations of TCM.Artificial intelligence research based on computer technology is one of the effective ways to solve this problem.In the research of intelligent diagnosis path,reflecting the characteristics of the overall view and dialectical treatment of TCM such as"Combination of four diagnostic methods""overall examination""combination of disease and syndrome"and"treatment individualized to patient,season and locality"are key for successful research of artificial intelligence in TCM diagnosis or recognition by clinical practice.
基金the National Natural Science Foundations of China(Nos.91860125,51705398)the National Key Basic Research Program of China(No.2015CB057400)the Shaanxi Province 2020 Natural Science Basic Research Plan(No.2020JQ-042).
文摘Weak feature extraction is of great importance for condition monitoring and intelligent diagnosis of aeroengine.Aimed at achieving intelligent diagnosis of aero-engine main shaft bearing,an enhanced sparsity-assisted intelligent condition monitoring method is proposed in this paper.Through analyzing the weakness of convex sparse model,i.e.the tradeoff between noise reduction and feature reconstruction,this paper proposes an enhanced-sparsity nonconvex regularized convex model based on Moreau envelope to achieve weak feature extraction.Accordingly,a sparsity-assisted deep convolutional variational autoencoders network is proposed,which achieves the intelligent identification of fault state through training denoised normal data.Finally,the effectiveness of the proposed method is verified through aero-engine bearing run-to-failure experiment.The comparison results show that the proposed method is good at abnormal pattern recognition,showing a good potential for weak fault intelligent diagnosis of aero-engine main shaft bearings.
基金the High Technology Research and Development Program of China
文摘This paper intends to introduce the active vision system with autonomous robot competition in the background. It presents some characteristics of the human oculomotor system in active ma-chine vision svstem: smooth pursuit and saccade. Besides, zoom tracking is used to continuous ad-justment of a camera's focal length to keep a constant sized image of an object moving along the camera's optical axis. Experiments indicate the technology to be efficient for tracking the bail in the robot competition.
文摘Orwell＇s text The Road to Wigan Pier, henceforth referred to as RWP, is problematic due to the ambiguity of its status as a literary genre. The text is subversive on many levels, namely on the level of form. In order to show some aspects of the author＇s challenge of the conventional norms and methods of literary writing, a comparison between the writer＇s original diary of the journey to the industrial North of England, the main site of the coal mines, and the present book could be of great import. This reveals the author＇s genuine intellectual ability to manipulate and rearrange the events and scenes of the story on the discourse level. The author＇s manipulation and rearrangement of the story （the journey）, events and scenes, clearly reveals his potential literary creativity and imagination. Orwell has deployed many strategies to fulfil this purpose. Each strategy is actually a contribution to the author＇s overall argument and at the same time it constitutes a further aspect of subversion. The first aspect of subversion lies on the level of form itself. The form of the book is effectively very challenging. Contrary to the conventional view of the fictional novel, the study of Orwell＇s text based on Grrard Genette＇s model reveals his challenge of the basic novelistic parameters. The novelistic ingredients such as setting, characterisation, and plot development have been treated in a subverting way. Though not totally discarded, they have been manipulated for the purpose of the author＇s general argument, which is Socialism. For instance, characters in the novel are treated as types, that is, representatives of their class. Besides, the order of scenes and events has been rearranged for the purpose of foregrounding representative scenes like the description of the Brookers＇ lodging-house. The author＇s treatment of the material of the text is primarily based on his personal experience as an outside observer during his journey to the North. Therefore, the exploration of the novel from a structuralist perspective based on Genette＇s model does not merely aim at the pure application of some literary and critical approaches to Orwell＇s text. This may be misleading since the investigation may fall in superficiality and simplicity. But the strategy deployed is actually a further contribution to the author＇s general argument and a manifestation of the novel＇s status as a creative and subversive text.
文摘The application of reinforcement learning is widely used by multi-agent systems in recent years. An agent uses a multi-agent system to cooperate with other agents to accomplish the given task, and one agent′s behavior usually affects the others′ behaviors. In traditional reinforcement learning, one agent takes the others location, so it is difficult to consider the others′ behavior, which decreases the learning efficiency. This paper proposes multi-agent reinforcement learning with cooperation based on eligibility traces, i.e. one agent estimates the other agent′s behavior with the other agent′s eligibility traces. The results of this simulation prove the validity of the proposed learning method.
