随着网络业务的快速发展和网络技术的快速演进,人们对网络运维的要求也随之提高。当下的网络运维存在自动化程度不足、人才短缺,运维一致性差等问题。AI运维机器人基于NLP(Natural Language Processing,自然语言处理)技术,为运维人员提...随着网络业务的快速发展和网络技术的快速演进,人们对网络运维的要求也随之提高。当下的网络运维存在自动化程度不足、人才短缺,运维一致性差等问题。AI运维机器人基于NLP(Natural Language Processing,自然语言处理)技术,为运维人员提供极简的“对话式”运维操作,智能识别运维意图和操作对象,高效自动化执行任务,有效降低了运维人员的技术门槛,替代烦琐人工操作,有效提升了运维效率,实现了网络运维的提质增效。展开更多
Recently published in Joule,Feng Liu and colleagues from Shanghai Jiaotong University reported a record-breaking 20.8%power conversion efficiency in organic solar cells(OSCs)with an interpenetrating fibril network act...Recently published in Joule,Feng Liu and colleagues from Shanghai Jiaotong University reported a record-breaking 20.8%power conversion efficiency in organic solar cells(OSCs)with an interpenetrating fibril network active layer morphology,featuring a bulk p-in structure and proper vertical segregation achieved through additive-assisted layer-by-layer deposition.This optimized hierarchical gradient fibrillar morphology and optical management synergistically facilitates exciton diffusion,reduces recombination losses,and enhances light capture capability.This approach not only offers a solution to achieving high-efficiency devices but also demonstrates the potential for commercial applications of OSCs.展开更多
为解决自然语言数据处理模型进行数据处理时存在效果差、资源消耗大等问题,提出一种基于多尺度特征提取和注意力机制的融合算法。通过不同尺度的特征数据提取,并在特征图上应用加权算法,从而增强对某些特定尺度特征的关注,并基于该融合...为解决自然语言数据处理模型进行数据处理时存在效果差、资源消耗大等问题,提出一种基于多尺度特征提取和注意力机制的融合算法。通过不同尺度的特征数据提取,并在特征图上应用加权算法,从而增强对某些特定尺度特征的关注,并基于该融合算法对自然语言数据处理模型进行优化。仿真实验的结果表明:该融合算法特征提取效果较好,显著提升了计算机进行数据处理的各项能力。将优化后的自然语言处理(natural language processing,NLP)数据处理模型与CSAMT数据处理模型、BETG数据处理模型和优化前的NLP数据处理模型的性能进行对比可知:经过CBAM-MS-CNN优化的NLP数据处理模型的各项性能均优于其他模型。研究结果表明:该融合算法可以满足电子化移交流程中非结构化数据管理领域中的高可靠性、智能处理等业务需求,能提升数据处理效率和数据质量,减少人工录入数据和人工复核数据的工作量。展开更多
In general,the rapid growth of α-Fe clusters is a challenge in high Fe-content Fe-based amorphous alloys,negatively affecting their physical properties.Herein,we introduce an efficient and rapid post-treatment techni...In general,the rapid growth of α-Fe clusters is a challenge in high Fe-content Fe-based amorphous alloys,negatively affecting their physical properties.Herein,we introduce an efficient and rapid post-treatment technique known as ultrasonic vibration rapid processing(UVRP),which enables the formation of high-density strong magnetic α-Fe clusters,thereby enhancing the soft magnetic properties of Fe_(78)Si(13)B_(9) amorphous alloy ribbon.展开更多
文摘随着网络业务的快速发展和网络技术的快速演进,人们对网络运维的要求也随之提高。当下的网络运维存在自动化程度不足、人才短缺,运维一致性差等问题。AI运维机器人基于NLP(Natural Language Processing,自然语言处理)技术,为运维人员提供极简的“对话式”运维操作,智能识别运维意图和操作对象,高效自动化执行任务,有效降低了运维人员的技术门槛,替代烦琐人工操作,有效提升了运维效率,实现了网络运维的提质增效。
基金Technology Development Program of Jilin Province(YDZJ202201ZYTS640)the National Key Research and Development Program of China(2022YFB4200400)funded by MOST+4 种基金the National Natural Science Foundation of China(52172048 and 52103221)Shandong Provincial Natural Science Foundation(ZR2021QB024 and ZR2021ZD06)Guangdong Basic and Applied Basic Research Foundation(2023A1515012323,2023A1515010943,and 2024A1515010023)the Qingdao New Energy Shandong Laboratory open Project(QNESL OP 202309)the Fundamental Research Funds of Shandong University.
文摘Recently published in Joule,Feng Liu and colleagues from Shanghai Jiaotong University reported a record-breaking 20.8%power conversion efficiency in organic solar cells(OSCs)with an interpenetrating fibril network active layer morphology,featuring a bulk p-in structure and proper vertical segregation achieved through additive-assisted layer-by-layer deposition.This optimized hierarchical gradient fibrillar morphology and optical management synergistically facilitates exciton diffusion,reduces recombination losses,and enhances light capture capability.This approach not only offers a solution to achieving high-efficiency devices but also demonstrates the potential for commercial applications of OSCs.
文摘为解决自然语言数据处理模型进行数据处理时存在效果差、资源消耗大等问题,提出一种基于多尺度特征提取和注意力机制的融合算法。通过不同尺度的特征数据提取,并在特征图上应用加权算法,从而增强对某些特定尺度特征的关注,并基于该融合算法对自然语言数据处理模型进行优化。仿真实验的结果表明:该融合算法特征提取效果较好,显著提升了计算机进行数据处理的各项能力。将优化后的自然语言处理(natural language processing,NLP)数据处理模型与CSAMT数据处理模型、BETG数据处理模型和优化前的NLP数据处理模型的性能进行对比可知:经过CBAM-MS-CNN优化的NLP数据处理模型的各项性能均优于其他模型。研究结果表明:该融合算法可以满足电子化移交流程中非结构化数据管理领域中的高可靠性、智能处理等业务需求,能提升数据处理效率和数据质量,减少人工录入数据和人工复核数据的工作量。
基金supported by the Major Science and Technology Project of Zhongshan City(No.2022AJ004)the Key Basic and Applied Research Program of Guangdong Province(Nos.2019B030302010 and 2022B1515120082)Guangdong Science and Technology Innovation Project(No.2021TX06C111).
文摘In general,the rapid growth of α-Fe clusters is a challenge in high Fe-content Fe-based amorphous alloys,negatively affecting their physical properties.Herein,we introduce an efficient and rapid post-treatment technique known as ultrasonic vibration rapid processing(UVRP),which enables the formation of high-density strong magnetic α-Fe clusters,thereby enhancing the soft magnetic properties of Fe_(78)Si(13)B_(9) amorphous alloy ribbon.
