We propose to address the open set domain adaptation problem by aligning images at both the pixel space and the feature space.Our approach,called Open Set Translation and Adaptation Network(OSTAN),consists of two main...We propose to address the open set domain adaptation problem by aligning images at both the pixel space and the feature space.Our approach,called Open Set Translation and Adaptation Network(OSTAN),consists of two main components:translation and adaptation.The translation is a cycle-consistent generative adversarial network,which translates any source image to the“style”of a target domain to eliminate domain discrepancy in the pixel space.The adaptation is an instance-weighted adversarial network,which projects both(labeled)translated source images and(unlabeled)target images into a domain-invariant feature space to learn a prior probability for each target image.The learned probability is applied as a weight to the unknown classifier to facilitate the identification of the unknown class.The proposed OSTAN model significantly outperforms the state-of-the-art open set domain adaptation methods on multiple public datasets.Our experiments also demonstrate that both the image-to-image translation and the instance-weighting framework can further improve the decision boundaries for both known and unknown classes.展开更多
The present work investigates an analysis of Eco-Tourism Climate Resources in Xingwe<span>n, China based on the Comfort Index and Negative Air (Oxygen) Ion (“NAI” for short in this article) concentration. The ...The present work investigates an analysis of Eco-Tourism Climate Resources in Xingwe<span>n, China based on the Comfort Index and Negative Air (Oxygen) Ion (“NAI” for short in this article) concentration. The daily temperature, precipitation, wind speed, sunshine hours, and relative humidity data of the Xingwen National Meteorological Station from 1999 to 2018, as well as the NAI data of Feiwu Cave station and Shoushan Lake station in Xingwen of 2018 were used in this study. Based on the analysis of the characteristics of basic meteorological elements, the index of climate comfort of human living environment and the NAI variation in Xingwen, the eco-tourism climate resources in this area were evaluated comprehensively. The results show that: The climate is mild, the precipitation is abundant and the seasonal variation trend of precipitation and heat is similar in the study area. The annual average temperature of this area is 17.8<span style="color:#4F4F4F;font-family:-apple-system, "font-size:16px;white-space:normal;background-color:#FFFFFF;">°</span>C, the annual average precipitation is 1096 mm, the annual average precipitation days are 186 days, the annual average relative humidity is 81%, the annual average wind speed is 1.3 m/s, and the annual average sunshine </span><span>hours are 999 h. The living environment comfort level reaches the “comfort” level for 6 months per year. In addition, the concentration of NAI in Xingwen remains at the highest level 7 throughout the year, and the rate of good air quality is extremely high. Overall, the study area has high-quality ecological climate resources that are conducive to the development of forest recuperation, leisure and vacation and other ecological tourism activities.</span>展开更多
目的探讨近十年国内ICU谵妄护理的研究趋势和研究热点,为ICU谵妄护理研究的发展方向提供参考和借鉴。方法通过检索中国生物医学文献数据库收录的2006~2015年间国内发表的ICU谵妄护理研究论文,采用Thomson Data Analyzer(TDA)分析软件提...目的探讨近十年国内ICU谵妄护理的研究趋势和研究热点,为ICU谵妄护理研究的发展方向提供参考和借鉴。方法通过检索中国生物医学文献数据库收录的2006~2015年间国内发表的ICU谵妄护理研究论文,采用Thomson Data Analyzer(TDA)分析软件提取数据,从年代变化、地区分布、机构类型、机构发文、作者发文、期刊分布、基金资助、关键词、主题词等方面进行计量学分析。结果遴选出ICU谵妄护理文献311篇,年文献发表量进入快速增长阶段;机构合作率为12.86%,篇均作者数为2.69,基金论文比为0.09。结论我国ICU谵妄护理研究已经受到广泛关注和重视,但是领域内研究机构之间的合作率偏低,科研基金资助论文比例不高,后续研究应注重获取科研基金资助并加强合作。展开更多
基金supported by the National Natural Science Foundation of China under Grant Nos.62032011 and 61772257.
文摘We propose to address the open set domain adaptation problem by aligning images at both the pixel space and the feature space.Our approach,called Open Set Translation and Adaptation Network(OSTAN),consists of two main components:translation and adaptation.The translation is a cycle-consistent generative adversarial network,which translates any source image to the“style”of a target domain to eliminate domain discrepancy in the pixel space.The adaptation is an instance-weighted adversarial network,which projects both(labeled)translated source images and(unlabeled)target images into a domain-invariant feature space to learn a prior probability for each target image.The learned probability is applied as a weight to the unknown classifier to facilitate the identification of the unknown class.The proposed OSTAN model significantly outperforms the state-of-the-art open set domain adaptation methods on multiple public datasets.Our experiments also demonstrate that both the image-to-image translation and the instance-weighting framework can further improve the decision boundaries for both known and unknown classes.
文摘The present work investigates an analysis of Eco-Tourism Climate Resources in Xingwe<span>n, China based on the Comfort Index and Negative Air (Oxygen) Ion (“NAI” for short in this article) concentration. The daily temperature, precipitation, wind speed, sunshine hours, and relative humidity data of the Xingwen National Meteorological Station from 1999 to 2018, as well as the NAI data of Feiwu Cave station and Shoushan Lake station in Xingwen of 2018 were used in this study. Based on the analysis of the characteristics of basic meteorological elements, the index of climate comfort of human living environment and the NAI variation in Xingwen, the eco-tourism climate resources in this area were evaluated comprehensively. The results show that: The climate is mild, the precipitation is abundant and the seasonal variation trend of precipitation and heat is similar in the study area. The annual average temperature of this area is 17.8<span style="color:#4F4F4F;font-family:-apple-system, "font-size:16px;white-space:normal;background-color:#FFFFFF;">°</span>C, the annual average precipitation is 1096 mm, the annual average precipitation days are 186 days, the annual average relative humidity is 81%, the annual average wind speed is 1.3 m/s, and the annual average sunshine </span><span>hours are 999 h. The living environment comfort level reaches the “comfort” level for 6 months per year. In addition, the concentration of NAI in Xingwen remains at the highest level 7 throughout the year, and the rate of good air quality is extremely high. Overall, the study area has high-quality ecological climate resources that are conducive to the development of forest recuperation, leisure and vacation and other ecological tourism activities.</span>
文摘目的探讨近十年国内ICU谵妄护理的研究趋势和研究热点,为ICU谵妄护理研究的发展方向提供参考和借鉴。方法通过检索中国生物医学文献数据库收录的2006~2015年间国内发表的ICU谵妄护理研究论文,采用Thomson Data Analyzer(TDA)分析软件提取数据,从年代变化、地区分布、机构类型、机构发文、作者发文、期刊分布、基金资助、关键词、主题词等方面进行计量学分析。结果遴选出ICU谵妄护理文献311篇,年文献发表量进入快速增长阶段;机构合作率为12.86%,篇均作者数为2.69,基金论文比为0.09。结论我国ICU谵妄护理研究已经受到广泛关注和重视,但是领域内研究机构之间的合作率偏低,科研基金资助论文比例不高,后续研究应注重获取科研基金资助并加强合作。
