981 resultados para Griffen, Phebe, 1811-1839.
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本文介绍了一种通用的机器人二级控制系统,该机器人控制器已成功地用于四种不同类型的机器人本体,完成了各种PTP和CP控制功能.
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溶解有机氮(dissolved organic nitrogen , DON) 与溶解有机碳(dissolved organic carbon , DOC) 相结合在湖泊水体溶解有机质(dissolved organic matter , DOM) 的研究中少有报道. 本研究对贵州喀斯特地区高原性湖泊-红枫湖水体DOC 和DON 的含量进行了近2a 的测定,研究了DOM 的剖面特征和季节变化,并探讨了DOM 垂向分布和季节变化的影响因素. 结果表明,红枫湖DOC 的浓度范围为1160~3108 mg·L - 1 ,DON 的浓度范围为0110~0137 mg·L - 1 . 在湖水混合期表层和底层的DOC和DON 的浓度基本一致,在湖水分层期DOC 和DON 浓度表现出从表层往底层减小的趋势. 表层水体(0~2m 或3m) DOC 的浓度在春末夏初或夏季达到最大,DON 的浓度在春末夏初稍高于其它月份. 结合叶绿素和降雨的数据分析认为,藻类活动和陆源输入直接导致了表层水体DOM 的季节变化模式. DOM 的C/ N 在一般情况下向下增大,但在夏季南湖的垂向水柱上,DOC 和DON 的浓度在12m 以下增大,C/ N 从12m 的1811 下降为14m 的1419 ,并向下持续减小,这很有可能是颗粒态有机质发生降解释放出C/ N 较低的DOM ,成为水体内DOM 的一个内源.
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土壤腐殖质的研究已成为土壤学、环境化学和地球化学等的热点方向之一。应用核磁共振兴谱(NMR)、红外光谱(IR)、荧光光谱(FS)、电子自旋共振谱(ESR)等现代分析技术,对在土壤腐殖质组成和结构研究中取得的主要成果进行了综述。
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在全球变化研究领域,高分辨率重建2 000年来的气候环境变化是近期工作的主要内容之一。石笋微层由于其沉积界面完整,微层明显和组分构造有序,从而成为综合研究气候环境变化的理想载体。本文详细分析了石笋微层灰度和石笋微层厚度的成因、类型和影响因素,对石笋微层在高分辨率气候环境变化研究中的应用现状及目前所存在的问题作了简要介绍,并对该领域今后的发展方向提出了一些看法。
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The print copy of this sermon is held by Pitts Theology Library. The Pitts Theology Library's digital copy was produced as part of the ATLA/ATS Cooperative Digital Resources Initiative (CDRI), funded by the Luce Foundation. Electronic reproduction. Atlanta, Georgia : Pitts Theology Library, Emory University, 2003. (Thanksgiving Day Sermons, ATLA Cooperative Digital Resources Initiative, CDRI). Joint CDRI project by: Andover-Harvard Library (Harvard Divinity School), Pitts Theology Library (Emory University), and Princeton Theological Seminary Libraries.
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Memorial discourse
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Tribute to the Memory of President Fisk.
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http://www.archive.org/details/constitutionlaws00ameriala
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http://books.google.com/books?vid=OCLC11413587 View volume 1
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Digitized by Google
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http://www.archive.org/details/hawaiianislandsa00peabiala
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http://books.google.com/books?vid=OCLC05766993
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http://www.archive.org/details/californiapilgri00truerich
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http://books.google.com/books?vid=OCLC55772204
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The cost and complexity of deploying measurement infrastructure in the Internet for the purpose of analyzing its structure and behavior is considerable. Basic questions about the utility of increasing the number of measurements and/or measurement sites have not yet been addressed which has lead to a "more is better" approach to wide-area measurements. In this paper, we quantify the marginal utility of performing wide-area measurements in the context of Internet topology discovery. We characterize topology in terms of nodes, links, node degree distribution, and end-to-end flows using statistical and information-theoretic techniques. We classify nodes discovered on the routes between a set of 8 sources and 1277 destinations to differentiate nodes which make up the so called "backbone" from those which border the backbone and those on links between the border nodes and destination nodes. This process includes reducing nodes that advertise multiple interfaces to single IP addresses. We show that the utility of adding sources goes down significantly after 2 from the perspective of interface, node, link and node degree discovery. We show that the utility of adding destinations is constant for interfaces, nodes, links and node degree indicating that it is more important to add destinations than sources. Finally, we analyze paths through the backbone and show that shared link distributions approximate a power law indicating that a small number of backbone links in our study are very heavily utilized.