检索结果-南通市图书馆

Regional Yield Estimation of Summer Maize Based on Assimilation of Remotely Sensed LAI into EPIC Model

在线全文

学校读者我要写书评

暂无评论

Regional Yield Estimation of Summer Maize Based on Assimilat...

Cloud Control Systems

2.10 Second IITA International Conference on Geoscience and Remote Sensing (IITA-GRS 2.10)

作者： Jianqiang REN1,2.Fushui YU1,2.Zhongxin CHEN1,2.,Jun QIN3.1 key {2. of Resources Remote-Sensing & Digital Agriculture,Ministry of Agriculture,beijing 100081,{3. 2.Institute of Agricultural Resources & Regional Planning,chinese academy of Agricultural sciences,beijing 100081,{3. 3.Institute of Tibetan Plateau Research,chinese academy of sciences,beijing 100085,{3.

In order to acquire more accurate crop yield information,the global optimization algorithm SCE-UA was used to integrate leaf area index derived from remote sensing with crop growth model EPIC to simulate regional summer maize yield and field management information in Huanghuaihai Plain in {2.. The results showed that the mean relative error of estimated summer maize yield was 4.3.% and RMSE was 0.44t/ha. Compared with the actual field observation data,the mean relative error of simulated sowing date,plant density and net nitrogen fertilization application rate was 1.85%,-7.78% and -10.60% respectively. These above simulated results could meet need of accuracy of crop growth simulation and yield estimation at regional scale. It was proved that integrating remotely sensed LAI with EPIC model based on SCE-UA for simulating regional summer maize yield and field management information was feasible and reliable.

关键词： data assimilation global optimization algorithm Crop growth model EPIC yield estimation remote sensing LAI

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

IEEE/CAA Journal of Automatica Sinica 2015年第2期2卷 134-142页

作者： Yuanqing Xia School of Automation Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology

The concept of cloud control systems is discussed in this paper, which is an extension of networked control systems (NCSs). With the development of internet of things (IOT), the technology of NCSs has played a key role in IOT. At the same time, cloud computing is developed rapidly, which provides a perfect platform for big data {2., controller design and performance assessment. The research on cloud control systems will give new contribution to the control theory and applications in the near future. © 2.14 {3. Association of Automation.

关键词： Big data Cloud computing Computation theory Control systems Control theory Controllers Data handling Distributed computer systems Embedded systems Internet of things

FCMBP聚类法在语音识别和模糊控制中的应用

在线全文

学校读者我要写书评

暂无评论

系统工程学报 2001年第6期16卷 430-437页

作者：何清徐树富王加银史忠植中国科学院计算技术所智能信息处理开放实验室北京100080 北京师范大学教学系北京100875

首先从理论上证明了 FCMBP模糊聚类方法 ,即基于摄动的模糊聚类方法 ,比传递闭包法失真小 ;其次 ,用例子说明这两种聚类方法的聚类结果并不总是相同 ,有时还会产生本质差异 ;再次 ,提出用 FCMBP模糊聚类方法设立语音模式的参考向量集来... 详细信息

首先从理论上证明了 FCMBP模糊聚类方法 ,即基于摄动的模糊聚类方法 ,比传递闭包法失真小 ;其次 ,用例子说明这两种聚类方法的聚类结果并不总是相同 ,有时还会产生本质差异 ;再次 ,提出用 FCMBP模糊聚类方法设立语音模式的参考向量集来进行语音识别 ,该方法能提高语音识别的正确率 ;最后 ,利用 FCMBP模糊聚类方法滤除量测数据对中的噪声 ,再用这些处理过的数据构造模糊控制规则 ,从而达到模糊控制规则的优化 .

关键词：模糊聚类语音识别模糊控制噪声滤出 FCMBP

在线全文

学校读者我要写书评

暂无评论

最大目标频繁模式挖掘算法研究

计算机工程与应用 2004年第33期40卷 184-188页

作者：李清勇秦亮曦施智平史忠植中科院计算所智能信息处理重点实验室北京100080 中国科学院研究生院北京100039

传统的频繁模式挖掘算法往往会得到成百上千的结果模式,面对繁多的频繁模式用户通常要经过“二次挖掘”才能得到有用的目标模式。怎样根据用户需求直接挖掘用户感兴趣的目标模式是该文的研究目标。文章在FP-树的基础上设计了紧缩的、非... 详细信息

传统的频繁模式挖掘算法往往会得到成百上千的结果模式,面对繁多的频繁模式用户通常要经过“二次挖掘”才能得到有用的目标模式。怎样根据用户需求直接挖掘用户感兴趣的目标模式是该文的研究目标。文章在FP-树的基础上设计了紧缩的、非冗余的TFP-树,它能有效过滤与目标模式无关的项和事务,而仅保留与目标模式相关的信息,缩小TFP-树的大小规模。同时根据TFP-树的规律和特点,笔者设计了最大目标频繁模式挖掘算法,算法的结果模式具有以下两个特点:(1)满足用户需求的目标模式;(2.最大模式。该实验结果验证了TFP-树算法是有效的,而且显著改善了FP-树算法的性能。

关键词：数据挖掘频繁模式最大目标频繁模式 TFP-树 FP-树

New method for measuring the degree of conflict among general basic probability assignments

在线全文

学校读者我要写书评

暂无评论

Science china(information {2.) 2012年第2期55卷 312-321页

作者： HE You1,HU LiFang1,2.GUAN Xin1,3.DENG Yong4 & HAN DeQiang5 1Research Institute of information Fusion,Naval Aeronautical and Astronautical University,Yantai 2.4001,{2. 2.avy Armament academy,{3. 102.49,{2. 3.he Institute of Electronic Science and Engineering,National University of Defense Technology,Changsha 410073.{2. 4School of Electronics and information Technology,Shanghai Jiao Tong University,Shanghai 2.02.0,{2. 5Institute of Integrated Automation,Xi'an Jiaotong University,Xi'an 710049,{2. 1. Research Institute of information Fusion Naval Aeronautical and Astronautical University Yantai 264001 China2. Navy Armament Academy Beijing 102249 China3. The Institute of Electronic Science and Engineering National University of Defense Technology Changsha 410073 China4. School of Electronics and Information Technology Shanghai Jiao Tong University Shanghai 200240 China5. Institute of Integrated Automation Xi’an Jiaotong University Xi’an 710049 China

There is doubt about Dempster's rule of combination because of counter-intuitive results when dealing with conflict information in intelligent ***,many modified combination rules have been presented in the literature on multi-source information fusion and reasoning with ***,the issue of identifying conflict among evidence has been ignored.A new parameter measuring conflict evidence called the conflict distance parameter is defined to determine whether there are conflicts in evidence based on the analysis of existing conflict *** the same time,a decisive rule,which a reasonable conflict measure function should satisfy,is put ***,an analysis of two typical counter-intuitive situations is given,showing that the new parameter can not only satisfy the decisive rule,but can also attain the same effect as a two-dimensional measure when deciding whether to use the Dempster's rule of combination,and can exceed its effect when deciding whether to use Dezert-Smarandache theory.

关键词： conflict evidence Dezert-Smarandache theory Dempster’s rule of combination information fusion uncertainty

A Scheduling Heuristic for Large-Scale Heterogeneous computing Environments

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

A Scheduling Heuristic for Large-Scale Heterogeneous Computi...

2.07年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会

作者： Xiao Li Du1,2. Chang Jun Jiang2.3. Fei Yin1,2.1Electronics and information Engineering School, Tongji University Shanghai, 2.1804, {2. 2.onji Branch, National Engineering &Technology Center of High Performance Computer Shanghai, 2.1804, {2. 3.3. laboratory of Computer System and Architecture, Institute of computing Technology, chinese academy of sciences beijing, 100080, {2.

A group of features is defined to describe the synthetic performance of processing cells and distinguish their heterogeneousness in large-scale heterogeneous computing environments. Three notable features that can effectively partition the processing cells of target system with fuzzy clustering are verified through several groups of experiments. Based on fuzzy clustering results of the target system, a Scheduling heuristic algorithm is presented. In the scheduling stage, the cluster with better synthetic performance will be chose first. The algorithm greatly reduces the time spent on the processor selection for large-scale system. The priority designation of tasks takes the influence of critical path nodes and heterogeneous resource into consideration. Experimental results show that it performs very well compared with other algorithm.

关键词： Task Scheduling Heterogeneous computing Direct Acyclic Graph

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

基于知识发现的电力负荷预测模型

计算机科学 2010年第4期37卷 212-214,230页

作者：窦全胜史忠植于尔铿杨斌刘仲尧山东工商学院计算机科学与技术学院烟台264005 中国科学院计算技术研究所北京100080 烟台东方电子信息产业集团有限公司烟台264001 黑龙江省电力有限公司哈尔滨150010

负荷预测是电力系统的一个传统研究问题。针对黑龙江省的气象和经济特点,提出了基于知识发现的负荷预测模型。首先通过传统的近大远小方法生成基本预测曲线,并根据从历史气象资料及负荷数据中提取的规则加以修正,生成最终预测曲线。该... 详细信息

负荷预测是电力系统的一个传统研究问题。针对黑龙江省的气象和经济特点,提出了基于知识发现的负荷预测模型。首先通过传统的近大远小方法生成基本预测曲线,并根据从历史气象资料及负荷数据中提取的规则加以修正,生成最终预测曲线。该模型在黑龙江省电网公司得以应用,收到了较为理想的效果。

关键词：荷预测知识发现

在线全文

学校读者我要写书评

暂无评论

一种概念空间自生成方法

计算机工程与应用 2002年第7期38卷 63-65,88页

作者：傅伟鹏吴斌何清史忠植中国科技大学研究生院计算机学部北京100039 中科院计算技术研究所智能信息处理重点实验室北京100080

文章提出一种自动生成概念空间的方法。首先通过SOM神经网络,对文本进行聚类,之后从结果中提取反映各类文本内容的概念,用于标注文本的类别,再通过模糊聚类进行概念自动抽象与归纳形成概念空间,用于文本的管理。SOM本身是无监督的学习方... 详细信息

文章提出一种自动生成概念空间的方法。首先通过SOM神经网络,对文本进行聚类,之后从结果中提取反映各类文本内容的概念,用于标注文本的类别,再通过模糊聚类进行概念自动抽象与归纳形成概念空间,用于文本的管理。SOM本身是无监督的学习方式,在设定好参数后,经过训练自动生成文本空间与概念空间的映射图。相关试验和结果表明概念空间对文本有很好的分类管理功能,便于文本检索。

关键词：概念空间文本目录自组织映射自生成方法信息处理计算机

Enhanced Soliton-Effect Pulse Compression by Subwavelength-Diameter Silica Wire Waveguides

在线全文

学校读者我要写书评

暂无评论

Enhanced Soliton-Effect Pulse Compression by Subwavelength-D...