【目的】分析第三方网站“发表记”中作者对学术期刊的投稿评论,揭示作者对期刊的投稿认知和情感感知,为期刊改进工作效能提供参考。【方法】利用八爪鱼爬虫软件爬取作者评论数据,使用文本分析法并借助ROST CM 6.0软件进行分词和词频分...【目的】分析第三方网站“发表记”中作者对学术期刊的投稿评论,揭示作者对期刊的投稿认知和情感感知,为期刊改进工作效能提供参考。【方法】利用八爪鱼爬虫软件爬取作者评论数据,使用文本分析法并借助ROST CM 6.0软件进行分词和词频分析,构建语义网络并进行情感分析。【结果】大部分学术期刊并无投稿评论,大部分有评论的期刊是核心期刊,且社科期刊数量较多。作者关注的高频词包括投稿结果、审稿过程、稿件处理周期、与编辑部沟通、费用问题、选题偏好、学历职称偏好等。作者评论数据的语义网络呈现出“核心-边缘”的层级结构。作者评论内容以正向情感为主,中性情感居第二位,负向情感最少。【结论】期刊的审稿速度、出版时效、沟通态度、收费标准是最显著的投稿认知与作者评论的影响因素。期刊应当重视作者的投稿感受,建构良好的投稿形象,吸引并留住优秀作者群体;完善现有期刊管理体制,充分发挥学术共同体的作用;重视同行评议,保证期刊审稿质量;建立健全与作者的沟通机制,及时反馈审阅意见。展开更多
Eye-movement analysis was adopted to evaluate the visual perception of Chinese traditional commercial blocks,and the Chenghuangmiao block in Hefei,China,was selected as a typical case.Eye-movement data from 40 respond...Eye-movement analysis was adopted to evaluate the visual perception of Chinese traditional commercial blocks,and the Chenghuangmiao block in Hefei,China,was selected as a typical case.Eye-movement data from 40 respondents viewing 14 sample pictures were recorded.The spatial elements of the sample pictures,including landmarks and commercial brands,were further extracted to analyze the visual characteristics of spatial elements and the factors that affect the respondents’perceptions of those elements.Then,the semantic differential method was used to analyze the relationship between visual preferences and psychological perceptions of spatial elements.Seventeen pairs of opposing adjectives were selected to score the intrinsic properties and visitors,feelings of spaces.The software SPSS 22.0 was used to analyze these data.Results showed that distinctive spatial elements,such as street corridors,Ma Tau Walls,and various landmarks,were the most visually attractive.In addition,the location of a given element within a picture was an important factor affecting eye movements.On this basis,strategies for improving spatial-visual effects are proposed.The strategies include emphasizing the visual characteristics of different spatial elements,considering the overall layout of spatial elements,and creating diversified spaces based on different spatial categories.展开更多
针对现有基于伪点云的3D目标检测算法精度远低于基于真实激光雷达(Light Detection and ranging,LiDar)点云的3D目标检测,本文研究伪点云重构,并提出适合伪点云的3D目标检测网络.考虑到由图像深度转换得到的伪点云稠密且随深度增大逐渐...针对现有基于伪点云的3D目标检测算法精度远低于基于真实激光雷达(Light Detection and ranging,LiDar)点云的3D目标检测,本文研究伪点云重构,并提出适合伪点云的3D目标检测网络.考虑到由图像深度转换得到的伪点云稠密且随深度增大逐渐稀疏,本文提出深度相关伪点云稀疏化方法,在减少后续计算量的同时保留中远距离更多的有效伪点云,实现伪点云重构.本文提出LiDar点云指导下特征分布趋同与语义关联的3D目标检测网络,在网络训练时引入LiDar点云分支来指导伪点云目标特征的生成,使生成的伪点云特征分布趋同于LiDar点云特征分布,从而降低数据源不一致造成的检测性能损失;针对RPN(Region Proposal Network)网络获取的3D候选框内的伪点云间语义关联不足的问题,设计注意力感知模块,在伪点云特征表示中通过注意力机制嵌入点间的语义关联关系,提升3D目标检测精度.在KITTI 3D目标检测数据集上的实验结果表明:现有的3D目标检测网络采用重构后的伪点云,检测精度提升了2.61%;提出的特征分布趋同与语义关联的3D目标检测网络,将基于伪点云的3D目标检测精度再提升0.57%,相比其他优秀的3D目标检测方法在检测精度上也有提升.展开更多
文摘【目的】分析第三方网站“发表记”中作者对学术期刊的投稿评论,揭示作者对期刊的投稿认知和情感感知,为期刊改进工作效能提供参考。【方法】利用八爪鱼爬虫软件爬取作者评论数据,使用文本分析法并借助ROST CM 6.0软件进行分词和词频分析,构建语义网络并进行情感分析。【结果】大部分学术期刊并无投稿评论,大部分有评论的期刊是核心期刊,且社科期刊数量较多。作者关注的高频词包括投稿结果、审稿过程、稿件处理周期、与编辑部沟通、费用问题、选题偏好、学历职称偏好等。作者评论数据的语义网络呈现出“核心-边缘”的层级结构。作者评论内容以正向情感为主,中性情感居第二位,负向情感最少。【结论】期刊的审稿速度、出版时效、沟通态度、收费标准是最显著的投稿认知与作者评论的影响因素。期刊应当重视作者的投稿感受,建构良好的投稿形象,吸引并留住优秀作者群体;完善现有期刊管理体制,充分发挥学术共同体的作用;重视同行评议,保证期刊审稿质量;建立健全与作者的沟通机制,及时反馈审阅意见。
基金This study was supported by the National Natural Science Foundation of China(51978226).
文摘Eye-movement analysis was adopted to evaluate the visual perception of Chinese traditional commercial blocks,and the Chenghuangmiao block in Hefei,China,was selected as a typical case.Eye-movement data from 40 respondents viewing 14 sample pictures were recorded.The spatial elements of the sample pictures,including landmarks and commercial brands,were further extracted to analyze the visual characteristics of spatial elements and the factors that affect the respondents’perceptions of those elements.Then,the semantic differential method was used to analyze the relationship between visual preferences and psychological perceptions of spatial elements.Seventeen pairs of opposing adjectives were selected to score the intrinsic properties and visitors,feelings of spaces.The software SPSS 22.0 was used to analyze these data.Results showed that distinctive spatial elements,such as street corridors,Ma Tau Walls,and various landmarks,were the most visually attractive.In addition,the location of a given element within a picture was an important factor affecting eye movements.On this basis,strategies for improving spatial-visual effects are proposed.The strategies include emphasizing the visual characteristics of different spatial elements,considering the overall layout of spatial elements,and creating diversified spaces based on different spatial categories.
