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Recent research hotspots funded by the U.S. Navy are the additive manufacturing and the machine learning., authors=LI Na, WANG Yunfei, CHU Zhiyong, authorsList=LI Na, WANG Yunfei, CHU Zhiyong, authorCompany=Qingdao Institute of Scientific and Technological Information, Qingdao 266003, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=R/L3NgilCLyBLBvtYwpheQ==, pdfFileSize=1686723, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242138253487317367, articleId=1242138250630996333, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=美国海军小企业资助项目的布局, columnId=1242138253399236982, journalTitle=科技导报, 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科技导报
| 专题:气候变化与建筑弹性 2020, 38(8): 13-20
美国海军小企业资助项目的布局
全屏
厉娜, 王云飞, 初志勇
作者信息
Project layout of SBIR/STTR program funded by the US Navy
Affiliations
出版时间: 2020-04-28
doi: 10.3981/j.issn.1000-7857.2020.08.002
文章导航
通过对美国海军2011年以来资助的5955项小企业创新研究/技术转移计划(SBIR/STTR)项目进行文本挖掘分析,从总体资助趋势、项目承担企业、主要研究领域、新兴研究热点等维度剖析了美国海军的科研项目布局。结果表明,美国海军每年出资2~4亿美元参与SBIR/STTR计划,资助范围广泛,项目承担企业主要分布在涉海科研院所密集区域;资助领域主要集中在提高系统及部件的稳定性及隐蔽性、增强复杂环境的感知和认知能力、提升能源供给的安全性及可靠性以及作战人员能力训练;增材制造和机器学习是近期资助的新兴研究热点。
美国海军
/
SBIR/STTR计划
/
小企业
/
项目布局
A text mining is carried out to analyze 5955 SBIR/STTR projects funded by the U.S. Navy since 2011, and the project layout is analyzed from the perspective of the overall funding trend, the small business awardees, the major research fields and the emerging hotspots. It is found that the U.S. Navy invests 200~400 million dollars annually in the SBIR/STTR program with a wide range of funding. The small business awardees are mainly located in coastal states clustered with marine scientific research institutes. The funding fields mainly focus on improving the stability and the concealment of the systems and the components, enhancing the perception and cognitive ability of complex environments, increasing the security and reliability of the energy supply, and training the personnel for the combat capability. Recent research hotspots funded by the U.S. Navy are the additive manufacturing and the machine learning.
US Navy
/
SBIR/STTR program
/
small business
/
project layout
厉娜, 王云飞, 初志勇.
美国海军小企业资助项目的布局.
科技导报,
2020
, 38
(8)
: 13
-20
.
DOI: 10.3981/j.issn.1000-7857.2020.08.002
LI Na, WANG Yunfei, CHU Zhiyong.
Project layout of SBIR/STTR program funded by the US Navy[J].
Science & Technology Review ,
2020
, 38
(8)
: 13
-20
.
DOI: 10.3981/j.issn.1000-7857.2020.08.002
2020年第38卷第8期
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引用本文
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文章信息
doi: 10.3981/j.issn.1000-7857.2020.08.002
接收时间:2019-05-27
首发时间:2020-05-15
出版时间:2020-04-28
收稿日期:2019-05-27
修回日期:2019-08-05
https://castjournals.cast.org.cn/joweb/kjdb/CN/10.3981/j.issn.1000-7857.2020.08.002
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2种不同金属材料的力学参数
科 Family 属数 Number of genus 种数 Number of species 占总种数比例 Percentage of total species (%) 属 Genus 种数 Number of species 占总种数比例 Percentage of total species (%) 鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78 小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39 多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39 红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87 小菇属 Mycena 11 5.26 光柄菇属 Pluteus 5 2.39 红菇属 Russula 17 8.13 栓菌属 Trametes 5 2.39
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