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应用GIS软件进行小班面积测算技术研究 被引量:4
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作者 蔡会德 吕郁彪 农胜奇 《林业调查规划》 2003年第4期11-13,共3页
面积是林业调查最重要的因子之一,利用GIS求算面积,其前提必须建立在空间与属性数据质量可靠的基础上,本文介绍了如何使用计算机GIS软件求算小班面积的要点、方法和步骤。
关键词 应用 GIS软件 小班面积 测算技术 林业调查
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浅谈农田灌溉水有效利用系数测算技术 被引量:3
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作者 吴香云 《农业科技与信息》 2018年第4期108-108,111,共2页
灌溉水有效利用系数作为表征灌溉用水效率的指标,是国家五年规划纲要考核指标之一,也是最严格水资源管理制度"三条红线"的控制指标之一。测算结果为促进节水灌溉、提高水的利益效率、支撑地方社会经济可持续发展、为政府决策... 灌溉水有效利用系数作为表征灌溉用水效率的指标,是国家五年规划纲要考核指标之一,也是最严格水资源管理制度"三条红线"的控制指标之一。测算结果为促进节水灌溉、提高水的利益效率、支撑地方社会经济可持续发展、为政府决策提供有力的参考依据。 展开更多
关键词 灌溉 有效利用系数 测算技术
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小水电代燃料工程生态效益测算关键技术研究 被引量:5
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作者 杜蕴慧 吴赛男 +1 位作者 隋欣 王东胜 《水利水电技术》 CSCD 北大核心 2014年第2期31-34,46,共5页
基于河流生态系统理论方法及小水电代燃料项目特征,对小水电代燃料工程的生态效益进行了分类,提出了小水电代燃料工程生态效益测算模型,并对模型参数的合理取值进行了探讨。应用小水电代燃料工程生态效益测算技术方法,对贵州、湖南两省... 基于河流生态系统理论方法及小水电代燃料项目特征,对小水电代燃料工程的生态效益进行了分类,提出了小水电代燃料工程生态效益测算模型,并对模型参数的合理取值进行了探讨。应用小水电代燃料工程生态效益测算技术方法,对贵州、湖南两省9个典型项目区开展了案例研究,并对两种碳减排效益计算模型中的参数取值进行了订正。研究成果可为有关部门评估小水电代燃料工程的生态效益提供量化测算依据。 展开更多
关键词 小水电 小水电代燃料项目 生态效益 测算技术 碳减排效益
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资本流动的“速度” 被引量:1
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作者 宋文兵 《国际贸易》 CSSCI 北大核心 2000年第6期55-57,共3页
问题的提出与概念界定 在金融理论中,货币和金融资产流动的“速度(Velocity)一直是一个极为难以捉摸的概念。比如,经典的货币数量说提出货币流通速度的概念,但仅是建立在货币中性假定(money neutral)和静态的、长期均衡(long-run equili... 问题的提出与概念界定 在金融理论中,货币和金融资产流动的“速度(Velocity)一直是一个极为难以捉摸的概念。比如,经典的货币数量说提出货币流通速度的概念,但仅是建立在货币中性假定(money neutral)和静态的、长期均衡(long-run equilibrium)分析基础之上的。无论是现金交易说、现金余额说,还是弗里得曼的现代货币数量说,都认为决定货币流通速度的快慢是外生的。 展开更多
关键词 资本流动 流动速度 测算技术 影响因素
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Similarity measure application to fault detection of flight system 被引量:5
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作者 KIM J +4 位作者 H LEE S H 王洪梅 《Journal of Central South University》 SCIE EI CAS 2009年第5期789-793,共5页
Fault detection technique is introduced with similarity measure. The characteristics of conventional similarity measure based on fuzzy number are discussed. With the help of distance measure, similarity measure is con... Fault detection technique is introduced with similarity measure. The characteristics of conventional similarity measure based on fuzzy number are discussed. With the help of distance measure, similarity measure is constructed explicitly. The designed distance-based similarity measure is applicable to general fuzzy membership functions including non-convex fuzzy membership function, whereas fuzzy number-based similarity measure has limitation to calculate the similarity of general fuzzy membership functions. The applicability of the proposed similarity measure to general fuzzy membership structures is proven by identifying the definition. To decide fault detection of flight system, the experimental data (pitching moment coefficients and lift coefficients) are transformed into fuzzy membership functions. Distance-based similarity measure is applied to the obtained fuzzy membership functions, and similarity computation and analysis are obtained with the fault and normal operation coefficients. 展开更多
关键词 similarity measure fuzzy number distance non-convex membership function
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Field tests on mechanical characteristics and strength parameters of red-sandstone 被引量:3
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作者 蒋建清 杨果林 《Journal of Central South University》 SCIE EI CAS 2010年第2期381-387,共7页
Large-scale field shear tests on ten specimens of the red-sandstone embankment at a highway in Hunan,China,were performed to examine mechanical characteristics and parameters of red-sandstone.The curves of thrust-disp... Large-scale field shear tests on ten specimens of the red-sandstone embankment at a highway in Hunan,China,were performed to examine mechanical characteristics and parameters of red-sandstone.The curves of thrust-displacement,failure mode,and shear strength parameters for red-sandstone with different water contents,different compactions,and different grain size distributions were obtained from the tests.A practical procedure of in-situ test for red-sandstone embankment was proposed to normalize the test equipment and test steps.Based on three-dimensional thrust-sliding limit equilibrium method,the formulas for calculating strength parameters of red-sandstone considering three-dimensional sliding surface were inferred.The results show that red-sandstone has typical complete curves of stress-strain,strain softening,which are caused by the special structure of red-sandstone;water content and compaction are important factors for strength and failure mode of red-sandstone;The average value of cohesion and internal friction angle of the specimens calculated by three-dimensional technique are 21.56 kPa and 29.29°,respectively,and those by traditional two-dimensional method are 25.52 kPa and 33.76°,respectively. 展开更多
关键词 red-sandstone large-scale field test mechanical characteristic strength parameter
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Machine-learning-aided precise prediction of deletions with next-generation sequencing
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作者 管瑞 髙敬阳 《Journal of Central South University》 SCIE EI CAS CSCD 2016年第12期3239-3247,共9页
When detecting deletions in complex human genomes,split-read approaches using short reads generated with next-generation sequencing still face the challenge that either false discovery rate is high,or sensitivity is l... When detecting deletions in complex human genomes,split-read approaches using short reads generated with next-generation sequencing still face the challenge that either false discovery rate is high,or sensitivity is low.To address the problem,an integrated strategy is proposed.It organically combines the fundamental theories of the three mainstream methods(read-pair approaches,split-read technologies and read-depth analysis) with modern machine learning algorithms,using the recipe of feature extraction as a bridge.Compared with the state-of-art split-read methods for deletion detection in both low and high sequence coverage,the machine-learning-aided strategy shows great ability in intelligently balancing sensitivity and false discovery rate and getting a both more sensitive and more precise call set at single-base-pair resolution.Thus,users do not need to rely on former experience to make an unnecessary trade-off beforehand and adjust parameters over and over again any more.It should be noted that modern machine learning models can play an important role in the field of structural variation prediction. 展开更多
关键词 next-generation sequencing deletion prediction sensitivity false discovery rate feature extraction machine learning
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Predicting configuration performance of modular product family using principal component analysis and support vector machine 被引量:1
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作者 张萌 李国喜 +1 位作者 龚京忠 吴宝中 《Journal of Central South University》 SCIE EI CAS 2014年第7期2701-2711,共11页
A novel configuration performance prediction approach with combination of principal component analysis(PCA) and support vector machine(SVM) was proposed.This method can estimate the performance parameter values of a n... A novel configuration performance prediction approach with combination of principal component analysis(PCA) and support vector machine(SVM) was proposed.This method can estimate the performance parameter values of a newly configured product through soft computing technique instead of practical test experiments,which helps to evaluate whether or not the product variant can satisfy the customers' individual requirements.The PCA technique was used to reduce and orthogonalize the module parameters that affect the product performance.Then,these extracted features were used as new input variables in SVM model to mine knowledge from the limited existing product data.The performance values of a newly configured product can be predicted by means of the trained SVM models.This PCA-SVM method can ensure that the performance prediction is executed rapidly and accurately,even under the small sample conditions.The applicability of the proposed method was verified on a family of plate electrostatic precipitators. 展开更多
关键词 design configuration performance prediction MODULARITY principal component analysis support vector machine
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Some studies on stochastic optimization based quantitative risk management
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作者 HU Zhaolin 《运筹学学报(中英文)》 2025年第3期135-159,共25页
Risk management often plays an important role in decision making un-der uncertainty.In quantitative risk management,assessing and optimizing risk metrics requires eficient computing techniques and reliable theoretical... Risk management often plays an important role in decision making un-der uncertainty.In quantitative risk management,assessing and optimizing risk metrics requires eficient computing techniques and reliable theoretical guarantees.In this pa-per,we introduce several topics on quantitative risk management and review some of the recent studies and advancements on the topics.We consider several risk metrics and study decision models that involve the metrics,with a main focus on the related com-puting techniques and theoretical properties.We show that stochastic optimization,as a powerful tool,can be leveraged to effectively address these problems. 展开更多
关键词 stochastic optimization quantitative risk management risk measure computing technique statistical property
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