针对液晶模块邦定工艺过程(FOG:FPC On Glass)的自动化生产,提出了一种采用全自动视觉系统对位的方案。视觉对位系统是一套集软硬件为一体的图像处理系统,分析采集到的图像,自动计算对象物体位置到目标物体位置所需要的X、Y、θ移动量,...针对液晶模块邦定工艺过程(FOG:FPC On Glass)的自动化生产,提出了一种采用全自动视觉系统对位的方案。视觉对位系统是一套集软硬件为一体的图像处理系统,分析采集到的图像,自动计算对象物体位置到目标物体位置所需要的X、Y、θ移动量,调节工作台的伺服电机,使FPC和玻璃准确对位。展开更多
漂移管直线加速器(Drift Tube Linac,DTL)是中国散裂中子源(China Spallation Neutron Source,CSNS)直线加速器的主要部分,负责将脉冲流强为15 m A的负氢离子从3 Me V加速到80 Me V,再注入到快循环同步加速器(Rapid Cycling Synchrotron...漂移管直线加速器(Drift Tube Linac,DTL)是中国散裂中子源(China Spallation Neutron Source,CSNS)直线加速器的主要部分,负责将脉冲流强为15 m A的负氢离子从3 Me V加速到80 Me V,再注入到快循环同步加速器(Rapid Cycling Synchrotron,RCS)中实现进一步加速。DTL加速器本身技术工艺复杂,要求极高的加工精度和准直安装精度,是CSNS的关键技术之一。本文介绍了中国散裂中子源漂移管的预准直方法,从最初的预研到正式安装,解决了一系列难题,包括漂移管的标定、安装和准直调整,形成一整套流水线式的预准直流程,最终漂移管预准直的精度优于物理设计指标,可为同类别的准直测量提供参考。展开更多
Conversational large language models(LLMs)such as ChatGPT and GPT-4 have recently exhibited remarkable capabilities across various domains,capturing widespread attention from the public.To facilitate this line of rese...Conversational large language models(LLMs)such as ChatGPT and GPT-4 have recently exhibited remarkable capabilities across various domains,capturing widespread attention from the public.To facilitate this line of research,in this paper,we report the development of MOSS,an open-sourced conversational LLM that contains 16 B parameters and can perform a variety of instructions in multi-turn interactions with humans.The base model of MOSS is pre-trained on large-scale unlabeled English,Chinese,and code data.To optimize the model for dialogue,we generate 1.1 M synthetic conversations based on user prompts collected through our earlier versions of the model API.We then perform preference-aware training on preference data annotated from AI feedback.Evaluation results on real-world use cases and academic benchmarks demonstrate the effectiveness of the proposed approaches.In addition,we present an effective practice to augment MOSS with several external tools.Through the development of MOSS,we have established a complete technical roadmap for large language models from pre-training,supervised fine-tuning to alignment,verifying the feasibility of chatGPT under resource-limited conditions and providing a reference for both the academic and industrial communities.Model weights and code are publicly available at https://github.com/OpenMOSS/MOSS.展开更多
In this paper, a new pre-alignment approach based on Four-Quadrant-Photo-Detector （FQPD） for IC mask is presented. The voltage outputs from FQPDs are the functions of alignment mark＇s position offsets with respect ...In this paper, a new pre-alignment approach based on Four-Quadrant-Photo-Detector （FQPD） for IC mask is presented. The voltage outputs from FQPDs are the functions of alignment mark＇s position offsets with respect to FQPDs. The functions are obtained with least squares error （LSE）-based polynomial fitting after the normalization of experimental data. As the acquired functions are not monotonic about their variables, the alignment mark＇s position offset cannot be given by direct inverse operation on the obtained functions. However, the piecewise polynomial fitting gives the inverse function, with which the alignment mark＇s position offset can be predicted according to the voltage outputs of FQPDs. On the basis of prediction, a pre-alignment control strategy is proposed. The feasibility and robustness of the pre-alignment approach is shown by experiments. Furthermore, the results demonstrate that the maximum error of mask＇s position offset in the X- and Y- directions is less than 15μm after coarse pre-alignment. Keywords： Four-Quadrant-Photo-Detector （FQPD）, pre-alignment, IC mask, polynomial fitting展开更多
Under an applied voltage, dielectric elastomers （DEs） produce an actuation strain that is nonlinear, partly because of the material properties. In this study, an experimental characterization is conducted to evaluat...Under an applied voltage, dielectric elastomers （DEs） produce an actuation strain that is nonlinear, partly because of the material properties. In this study, an experimental characterization is conducted to evaluate how the ambient temperature and pre-stretch affected the actuation performance. For DEs with a pre-stretch of 2 × 2, an increase of temperature from -10° to 80° results in a variation in the actuation strain of more than 1700%. Low pre-stretched DEs are more susceptible to temperature change; while highly pre-stretched DEs are relatively insensitive to temperature, because in this case the energy conversion was dominated by mechanical stretching, rather than thermal conduction, during the actuation.展开更多
文摘漂移管直线加速器(Drift Tube Linac,DTL)是中国散裂中子源(China Spallation Neutron Source,CSNS)直线加速器的主要部分,负责将脉冲流强为15 m A的负氢离子从3 Me V加速到80 Me V,再注入到快循环同步加速器(Rapid Cycling Synchrotron,RCS)中实现进一步加速。DTL加速器本身技术工艺复杂,要求极高的加工精度和准直安装精度,是CSNS的关键技术之一。本文介绍了中国散裂中子源漂移管的预准直方法,从最初的预研到正式安装,解决了一系列难题,包括漂移管的标定、安装和准直调整,形成一整套流水线式的预准直流程,最终漂移管预准直的精度优于物理设计指标,可为同类别的准直测量提供参考。
基金supported by the National Natural Science Foundation of China(No.62022027).
文摘Conversational large language models(LLMs)such as ChatGPT and GPT-4 have recently exhibited remarkable capabilities across various domains,capturing widespread attention from the public.To facilitate this line of research,in this paper,we report the development of MOSS,an open-sourced conversational LLM that contains 16 B parameters and can perform a variety of instructions in multi-turn interactions with humans.The base model of MOSS is pre-trained on large-scale unlabeled English,Chinese,and code data.To optimize the model for dialogue,we generate 1.1 M synthetic conversations based on user prompts collected through our earlier versions of the model API.We then perform preference-aware training on preference data annotated from AI feedback.Evaluation results on real-world use cases and academic benchmarks demonstrate the effectiveness of the proposed approaches.In addition,we present an effective practice to augment MOSS with several external tools.Through the development of MOSS,we have established a complete technical roadmap for large language models from pre-training,supervised fine-tuning to alignment,verifying the feasibility of chatGPT under resource-limited conditions and providing a reference for both the academic and industrial communities.Model weights and code are publicly available at https://github.com/OpenMOSS/MOSS.
基金This work was supported by National High Technology Research and Development Program of PRC (No. 2002AA420040)National 973 Program of PRC (No. 2002CB312200).
文摘In this paper, a new pre-alignment approach based on Four-Quadrant-Photo-Detector （FQPD） for IC mask is presented. The voltage outputs from FQPDs are the functions of alignment mark＇s position offsets with respect to FQPDs. The functions are obtained with least squares error （LSE）-based polynomial fitting after the normalization of experimental data. As the acquired functions are not monotonic about their variables, the alignment mark＇s position offset cannot be given by direct inverse operation on the obtained functions. However, the piecewise polynomial fitting gives the inverse function, with which the alignment mark＇s position offset can be predicted according to the voltage outputs of FQPDs. On the basis of prediction, a pre-alignment control strategy is proposed. The feasibility and robustness of the pre-alignment approach is shown by experiments. Furthermore, the results demonstrate that the maximum error of mask＇s position offset in the X- and Y- directions is less than 15μm after coarse pre-alignment. Keywords： Four-Quadrant-Photo-Detector （FQPD）, pre-alignment, IC mask, polynomial fitting
基金supported by the Major Program of National Natural Science Foundation of China(51290294)the Doctoral Fund of Ministry of Education of China(20120201110030)
文摘Under an applied voltage, dielectric elastomers （DEs） produce an actuation strain that is nonlinear, partly because of the material properties. In this study, an experimental characterization is conducted to evaluate how the ambient temperature and pre-stretch affected the actuation performance. For DEs with a pre-stretch of 2 × 2, an increase of temperature from -10° to 80° results in a variation in the actuation strain of more than 1700%. Low pre-stretched DEs are more susceptible to temperature change; while highly pre-stretched DEs are relatively insensitive to temperature, because in this case the energy conversion was dominated by mechanical stretching, rather than thermal conduction, during the actuation.
