Dahlin控制器的根轨迹的绘图方法     

董宇 《湖南农业大学学报(自然科学版)》2015,(2):28-32

财产保险公司绝大部分业务来自于车险业务，因而车险业务的绩效关系到财险公司的经营业绩，甚至整个保险业的稳定和健康发展。从承保、理赔、续保及财务四个方面选取17个具体指标构建车险业务绩效评价指标体系进行有效性检验，计算某财险公司湖南分公司车险业务绩效水平指数，评价其车险业务经营状况。结果显示：该公司财务指标对车险业务影响的权重最大，综合车险指数呈上升趋势，表现出较好的经营状况。  相似文献   

Bayesian estimation of diagnostic accuracy of a new bead-based antibody detection test to reveal Toxoplasma gondii infections in pig populations     

《Veterinary parasitology》2015,207(1-2):1-6

The success of a Toxoplasma gondii surveillance program in European pig production systems depends partly on the quality of the test to detect infection in the population. The test accuracy of a recently developed serological bead-based assay (BBA) was investigated earlier using sera from experimentally infected animals. In this study, the accuracy of the BBA was determined by the use of sera from animals from two field subpopulations. As no T. gondii infection information of these animals was available, test accuracy was determined through a Bayesian approach allowing for conditional dependency between BBA and an ELISA test. The priors for prevalence were based on available information from literature, whereas for specificity vague non-informative priors were used. Priors for sensitivity were based either on available information or specified as non-informative. Posterior estimates for BBA sensitivity and specificity were (mode) 0.855 (Bayesian 95% credibility interval (bCI) 0.702–0.960) and 0.913 (bCI 0.893–0.931), respectively. Comparing the results of BBA and ELISA, sensitivity was higher for the BBA while specificity was higher for ELISA. Alternative priors for the sensitivity affected posterior estimates for sensitivity of both BBA and ELISA, but not for specificity. Because the difference in prevalence between the two subpopulations is small, and the number of infected animals is small as well, the precision of the posterior estimates for sensitivity may be less accurate in comparison to the estimates for specificity. The estimated value for specificity of BBA is at least optimally defined for testing pigs from conventional and organic Dutch farms.  相似文献   

金融时间序列指标判别框架：以特质波动率为例     

汤胤  毛景慧 《湖南农业大学学报(自然科学版)》2016,(3):35-39

基于拐点集合判别的TBUD方法主要思路是分析拐点集合间的关系，并在高维空间进行划分，从而搭建判别模型，并将分析框架应用在特质波动率等若干指标上，利用实证数据得到结论。应用TBUD判别框架可以发现，特质波动率等指标无法对拐点集合进行清晰划分，因而并不具有预测能力。  相似文献   

A global sensitivity analysis of cultivar trait parameters in a sugarcane growth model for contrasting production environments in Queensland,Australia     

《European Journal of Agronomy》2017

New sugarcane cultivars are continuously developed to improve sugar industry productivity. Despite this sugarcane crop models such as the ‘Sugar’ module in the Agricultural Productions System sIMulator (APSIM-Sugar) have not been updated to reflect the most recent cultivars. The implications of misrepresenting cultivar parameters in APSIM-Sugar is difficult to judge as little research has been published on the likely values of these parameters and how uncertainty in parameter values may affect model outputs. A global sensitivity analysis can be used to better understand how cultivar parameters influence simulated yields. A Gaussian emulator was used to perform a global sensitivity analysis on simulated biomass and sucrose yield at harvest for two contrasting sugarcane-growing regions in Queensland, Australia. Biomass and sucrose yields were simulated for 42 years to identify inter-annual variability in output sensitivities to 10 parameters that represent physiological traits and can be used to simulated differences between sugarcane cultivars. Parameter main effect (S_i) and total effect (ST_i) sensitivity indices and emulator accuracy were calculated for all year-region-output combinations. When both regions were considered together parameters representing radiation use efficiency (rue), number of green leaves (green_leaf_no) and a conductance surrogate parameter (k_L) were the most influential parameters for simulated biomass in APSIM-Sugar. Simulated sucrose yield was most sensitive to rue, sucrose_fraction (representing the fraction of biomass partitioned as sucrose in the stem) and green_leaf_no. However, climate and soil differences between regions changed the level of influence cultivar parameters had on simulation outputs. Specifically, model outputs were more sensitive to changes in the transp_eff_cf and k_L parameters in the Burdekin region due to lower rainfall and poor simulated soil conditions. Collecting data on influential traits that are relatively simple to measure (e.g. number of green leaves) during cultivar development would greatly contribute to the simulation of new cultivars in crop models. Influential parameters that are difficult to measure directly such as transp_eff_cf and sucrose_fraction are ideal candidates for statistical calibration. Calibrating crop models either through direct observation or statistical calibration would allow crop modellers to better test how new cultivars will perform in a range of production environments.  相似文献   

Genomic prediction for meat and carcass traits in Nellore cattle using a Markov blanket algorithm     

Fernando Brito Lopes  Fernando Baldi  Ludmilla Costa Brunes  Marcos Fernando Oliveira e Costa  Eduardo da Costa Eifert  Guilherme Jordão Magalhães Rosa  Raysildo Barbosa Lobo  Cláudio Ulhoa Magnabosco 《Zeitschrift für Tierzüchtung und Züchtungsbiologie》2023,140(1):1-12

This study was carried out to evaluate the advantage of preselecting SNP markers using Markov blanket algorithm regarding the accuracy of genomic prediction for carcass and meat quality traits in Nellore cattle. This study considered 3675, 3680, 3660 and 524 records of rib eye area (REA), back fat thickness (BF), rump fat (RF), and Warner–Bratzler shear force (WBSF), respectively, from the Nellore Brazil Breeding Program. The animals have been genotyped using low-density SNP panel (30 k), and subsequently imputed for arrays with 777 k SNPs. Four Bayesian specifications of genomic regression models, namely Bayes A, Bayes B, Bayes Cπ and Bayesian Ridge Regression methods were compared in terms of prediction accuracy using a five folds cross-validation. Prediction accuracy for REA, BF and RF was all similar using the Bayesian Alphabet models, ranging from 0.75 to 0.95. For WBSF, the predictive ability was higher using Bayes B (0.47) than other methods (0.39 to 0.42). Although the prediction accuracies using Markov blanket of SNP markers were lower than those using all SNPs, for WBSF the relative gain was lower than 13%. With a subset of informative SNPs markers, identified using Markov blanket, probably, is possible to capture a large proportion of the genetic variance for WBSF. The development of low-density and customized arrays using Markov blanket might be cost-effective to perform a genomic selection for this trait, increasing the number of evaluated animals, improving the management decisions based on genomic information and applying genomic selection on a large scale.  相似文献   

An entropy approach to spatial disaggregation of agricultural production   总被引：2，自引：0，他引：2  

Liangzhi You  Stanley Wood 《Agricultural Systems》2006,90(1-3):329-347

While agricultural production statistics are reported on a geopolitical – often national – basis we often need to know the status of production or productivity within specific sub-regions, watersheds, or agroecological zones. Such re-aggregations are typically made using expert judgments or simple area-weighting rules. We describe a new, entropy-based approach to making spatially disaggregated assessments of the distribution of crop production. Using this approach, tabular crop production statistics are blended judiciously with an array of other secondary data to assess the production of specific crops within individual ‘pixels’ – typically 25–100 square kilometers in size. The information utilized includes crop production statistics, farming system characteristics, satellite-derived land cover data, biophysical crop suitability assessments, and population density. An application is presented in which Brazilian state level production statistics are used to generate pixel level crop production data for eight crops. To validate the spatial allocation we aggregated the pixel estimates to obtain synthetic estimates of municipality level production in Brazil, and compared those estimates with actual municipality statistics. The approach produced extremely promising results. We then examined the robustness of these results compared to short-cut approaches to allocating crop production statistics and showed that, while computationally intensive, the cross-entropy method does provide more reliable estimates of crop production patterns.  相似文献   

燃料电池三点比较实时电阻匹配最大功率跟踪   总被引：1，自引：0，他引：1  

吕学勤  刘文明 《农业机械学报》2015,46(8):372-378

依据最大功率传输理论以及燃料电池电气的特性,提出了一种适用于燃料电池的最大功率跟踪控制方法。该方法通过实时在线检测燃料电池工作点处的输出电压与电流并计算燃料电池的内阻和理想状态下欧姆极化区的开路电压,求解出最大功率点对应的电流型变换器的参考电流。通过控制变换器使燃料电池能够较为稳定地工作在燃料电池欧姆极化区的最大功率输出点处。当外界环境发生变化时,通过电流型扰动观察法完成对燃料电池的最大功率点跟踪。所提算法具有功率自校正功能,以减小算法本身对燃料电池功率输出的扰动。仿真结果表明:当负载或者工作环境发生变化时,该算法可以有效地跟踪燃料电池的最大功率点。  相似文献   

工业生产系统环境污染治理理念的探讨     

裴宏杰  张春晔  王贵成 《排灌机械》2003,21(2):47-49

随着世界经济的发展，地球环境日趋恶化。为了人类的生存和发展，必须实施可持续发展战略。文章在分析工业生产系统环境污染产生的原因和过程末端治理弊端的基础上，提出了从源头治理环境污染的理念——宏观上依据热力学第二定律，在中观上采用工业生态学原理，在微观上实施绿色制造和清洁生产，即从客观上运用熵、工业生态学、清洁生产和绿色制造的理论调配资源，组织工业企业，进行生产。最后对排灌机械的可持续发展战略的实施进行了探讨。  相似文献   

一种新的厌氧污泥比活性试验测定法   总被引：2，自引：0，他引：2  

赵亚乾 《中国沼气》1993,11(1):19-22

本文介绍了一种以医用血清瓶作发酵瓶、用医用注射器来量测所产沼气的厌氧污泥比活性试验测定法。实践表明此法简单实用、快速准确。  相似文献   

Estimating spatial distribution of Atlantic salmon escapement using redd counts despite changes over time in counting procedure: application to the Allier River population     

Guillaume J.R. Dauphin  Catherine Brugel  Marion Hoffmann‐Legrand  Etienne Prévost 《Ecology of Freshwater Fish》2013,22(4):626-636

  相似文献