为全面了解手语翻译研究领域的热点,对2009年至2022年Web of Science数据库中核心合集SSCI来源期刊的手语翻译研究相关文献进行可视化分析,结果发现:国际学界对手语翻译的关注度日益增长;国家/地区科研合作网络相对紧密;美国、英国和中...为全面了解手语翻译研究领域的热点,对2009年至2022年Web of Science数据库中核心合集SSCI来源期刊的手语翻译研究相关文献进行可视化分析,结果发现:国际学界对手语翻译的关注度日益增长;国家/地区科研合作网络相对紧密;美国、英国和中国等国家为文献高产国家且相互合作紧密;作者科研合作网络相对简单;手语翻译的五大研究热点是手语翻译的信息化建设与创新、手语翻译服务医学健康、手语翻译员的特征、手语翻译的语言学/心理语言学分析、融合教育教学中的手语翻译应用;研究前沿聚焦手语翻译技术的开发与更新、手语翻译服务改善聋人医疗保健质量两方面。研究结果为我国开展手语翻译研究和手语翻译服务实践提供了启示。展开更多
In order to achieve the goal that unmanned aerial vehicle(UAV)automatically positioning during power inspection,a visual positioning method which utilizes encoded sign as cooperative target is proposed.Firstly,we disc...In order to achieve the goal that unmanned aerial vehicle(UAV)automatically positioning during power inspection,a visual positioning method which utilizes encoded sign as cooperative target is proposed.Firstly,we discuss how to design the encoded sign and propose a robust decoding algorithm based on contour.Secondly,the Adaboost algorithm is used to train a classifier which can detect the encoded sign from image.Lastly,the position of UAV can be calculated by using the projective relation between the object points and their corresponding image points.Experiment includes two parts.First,simulated video data is used to verify the feasibility of the proposed method,and the results show that the average absolute error in each direction is below 0.02 m.Second,a video,acquired from an actual UAV flight,is used to calculate the position of UAV.The results show that the calculated trajectory is consistent with the actual flight path.The method runs at a speed of 0.153 sper frame.展开更多
文摘为全面了解手语翻译研究领域的热点,对2009年至2022年Web of Science数据库中核心合集SSCI来源期刊的手语翻译研究相关文献进行可视化分析,结果发现:国际学界对手语翻译的关注度日益增长;国家/地区科研合作网络相对紧密;美国、英国和中国等国家为文献高产国家且相互合作紧密;作者科研合作网络相对简单;手语翻译的五大研究热点是手语翻译的信息化建设与创新、手语翻译服务医学健康、手语翻译员的特征、手语翻译的语言学/心理语言学分析、融合教育教学中的手语翻译应用;研究前沿聚焦手语翻译技术的开发与更新、手语翻译服务改善聋人医疗保健质量两方面。研究结果为我国开展手语翻译研究和手语翻译服务实践提供了启示。
基金supported by the National Key Research Projects(No.2016YFB0501403)the National Demonstration Center for Experimental Remote Sensing&Information Engineering(Wuhan University)
文摘In order to achieve the goal that unmanned aerial vehicle(UAV)automatically positioning during power inspection,a visual positioning method which utilizes encoded sign as cooperative target is proposed.Firstly,we discuss how to design the encoded sign and propose a robust decoding algorithm based on contour.Secondly,the Adaboost algorithm is used to train a classifier which can detect the encoded sign from image.Lastly,the position of UAV can be calculated by using the projective relation between the object points and their corresponding image points.Experiment includes two parts.First,simulated video data is used to verify the feasibility of the proposed method,and the results show that the average absolute error in each direction is below 0.02 m.Second,a video,acquired from an actual UAV flight,is used to calculate the position of UAV.The results show that the calculated trajectory is consistent with the actual flight path.The method runs at a speed of 0.153 sper frame.
基金The National Natural Science Foundation of China (No. 51768063, 51868068)Shanxi Provincial Innovation Center Project for Digital Road Design Technology (No. 202104010911019)。
