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您的检索式：作者名="Chenjun Ding"
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| 1 | Revised Chronostratigraphic Framework of the Metamorphic Strata in the Jiangnan Orogenic Belt,South China and its Tectonic Implications显示文摘In a re-study of regional geology by the China Geological Survey(CGS),the key problem is in the stratigraphical division and correlation.According to the new isotopic dating of the Meso-and Neoproterozoic in China,there have been great changes in the strata correlation and tectonic explanation.The authors obtained four zircon sensitive high resolution ion micro-probe(SHRIMP) U-Pb datings from the bentonite of the Lengjiaxi Group(822±10 Ma,823±12 Ma and 834±11 Ma) and Banxi Group(802.6±7.6 Ma) in north Hunan Province,which is considered to be the middle part of the Jiangnan Orogenic Belt.On the basis of the zircon dating mentioned above,the end of the Wuling orogen is first limited in the period from 822 Ma to 802 Ma in one continued outcrop(Lucheng section) in Linxiang city,Hunan Province.Combining a series of new zircon U-Pb datings in the Yangtze and Cathaysia blocks,several Neoproterozoic volcanic events and distribution of the metamorphic rocks in the Jiangnan Orogenic Belt have been distinguished.In the context of the global geodynamics,it is useful to set up a practical and high precision chronological framework and basic and unified late Precambrian section in South China. | GAO Linzhi DING Xiaozhong ZHANG Chuanheng CHENJun LIU Yaorong ZHANG Hang LIU Xanxue PANG Weihua | 2012 | Acta Geologica Sinica(English Edition)2012，86，2： | 14 |
| 2 | Wireless Communication Signal Strength Prediction Method Based on the K-nearest Neighbor Algorithm显示文摘Existing interference protection systems lack automatic evaluation methods to provide scientific, objective and accurate assessment results. To address this issue, this paper develops a layout scheme by geometrically modeling the actual scene, so that the hand-held full-band spectrum analyzer would be able to collect signal field strength values for indoor complex scenes. An improved prediction algorithm based on the K-nearest neighbor non-parametric kernel regression was proposed to predict the signal field strengths for the whole plane before and after being shield. Then the highest accuracy set of data could be picked out by comparison. The experimental results show that the improved prediction algorithm based on the K-nearest neighbor non-parametric kernel regression can scientifically and objectively predict the indoor complex scenes’ signal strength and evaluate the interference protection with high accuracy. | Zhao Chen Ning Xiong Yujue Wang Yong Ding Hengkui Xiang Chenjun Tang Lingang Liu Xiuqing Zou Decun Luo | 2019 | 国际计算机前沿大会会议论文集2019，，1： | 0 |
| 3 | Amino acids industry knowledge service platform显示文摘Purpose: This paper introduces an amino acids industry knowledge service platform, which integrates industry data, science literature, and technology knowledge from patents.Design/methodology/approach: From the perspective of knowledge organization, the amino acids industry knowledge service platform comprises a basic data layer, a knowledge representation layer, and a knowledge service layer. The platform integrates heterogeneous information sources by means of a multi-dimensional integration index. It enables users to find technology knowledge from patents by employing the semantic Theory of Inventive Problem Solving(TRIZ).Findings: This paper constructs an integrated amino acids industry database, which offers a general service oriented to the public, and a technical innovation knowledge base, which offers a value-added service oriented to enterprises.Research limitations: The technical innovation knowledge base only includes parts of amino acids technology knowledge, making it suitable to meet certain specific needs. Practical implications: Semantic annotation of technical innovation knowledge from patents requires manual work by domain experts.Originality/value: The amino acids industry knowledge service platform offers not only an integrated search service for amino acids industry information, but also a deep tech mining service for technical innovation knowledge of amino acids. It will offer a more personalized knowledge service in the future. | Yi WEN Hongguang FU Shu FANG Qinggang LI Zhengyin HU Chunjiang LIU Ning YANG Xian ZHANG Yuan XU Chenjun Ding Yuexian ZHU | 2015 | Chinese Journal of Library and Information Science2015，，4： | 0 |
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