基于CNN-Transformer的农作物病虫害知识问答意图识别与槽位填充联合模型

意图识别与槽位填充是农作物病虫害知识问答中问题理解的两个重要任务。在已有面向农业领域的研究中,上述任务仍被视为两个完全独立的子任务,并且未充分利用意图识别与槽位填充的语义信息。为此,该研究提出一种基于CNN-Transformer的意图识别与槽位填充联合模型（CDPCT-IDSF）。该模型根据农作物病虫害文本语义复杂设计CNN网络与多层Transformer结合强调局部的有用信息以缓解语义缺失问题;然后在Transformer解码器中引入对齐保证输入与输出一对一关系以提高识别正确槽位标签的能力。此外,进一步构建了包含20个意图类别、12个槽位类别和11242条标注样本的农业病虫害知识问答数据集进行对比试验,CDPCT-IDSF模型在该语料库上的槽位填充F1值为94.36%,意图识别精度为92.99%,整体识别精度为87.23%,优于其他对比模型,结果证明了所提模型在农作物病虫害意图识别与槽位填充任务上的有效性,可为面向农作物病虫害的知识问答研究提供理论支撑。     

设施园艺电驱移动平台轮毂电机设计及其磁-热耦合性能

针对设施园艺作业场景下电驱移动平台的低速大扭矩牵引作业需求,该研究设计了一种减速内转子轴向磁通轮毂电机,建立电机的电磁有限元模型并分析其电磁和损耗特性。考虑到绕组电阻率受温度变化影响,构建基于热网络法的轮毂电机磁-热耦合改进模型。与台架试验结果相比,基于改进模型获得的转矩预测值较传统模型的精度提高了5.33%,验证了模型的正确性。利用改进模型分析了温度和相电流对电机转矩特性的影响,仿真结果表明,输出转矩随电机温度增加而降低;在0～20 A,电机平均输出转矩与相电流呈线性关系。试验结果表明,轮毂电机功率随转速增加而增大,峰值功率可达4.59 kW,而转矩基本保持恒定;在转速450～900 r/min、转矩300～600 N·m时,电机效率高达93.2%。研究结果可为轴向磁通电机初步设计与多场耦合影响下电机性能分析提供思路。     

基于GF-6/WFV卫星遥感的大田冬小麦叶片氮素含量估测

为对大田冬小麦叶片氮素含量（LNC）进行快速、准确及无损监测,通过在江苏省泰州泰兴市、盐城大丰区和南通如皋市布设冬小麦遥感监测大田试验,在获取试验样点冬小麦冠层红光波段反射率（RED_ref）、近红外波段反射率（NIR_ref）和计算的十个光谱指数（RVI、NDVI、DVI、SAVI、OSAVI、MSR、RDVI、EVI2、NLI和SVI）基础上,将12个遥感光谱指标与冬小麦LNC进行相关分析,选出与LNC相关性较好的作为模型输入变量,构建基于BP神经网络的冬小麦LNC估测模型, 并利用GF-6/WFV卫星遥感影像对县域冬小麦LNC的空间分布开展监测。结果表明,12个遥感光谱指标与冬小麦LNC之间存在不同程度的相关性,其中NDVI、RVI、MSR、OSAVI和NLI与冬小麦LNC的相关性较好（相关系数不低于0.65）。将优选的5个遥感光谱指标作为模型输入变量,构建基于BP神经网络的冬小麦LNC估测模型（LNC-BPEM）,模型的估测精度r²=0.866,RMSE=0.246%,ARE=12.9%。将冬小麦LNC-BPEM估测模型和GF-6/WFV影像结合对县域冬小麦LNC的空间信息监测,获得了如皋县域冬小麦LNC的空间分布特征,该区域冬小麦LNC范围在0.9%~2.0%（长势正常）的种植面积为29 693.3 hm²,占冬小麦总种植面积的74%。这说明利用GF-6/WFV卫星的多个遥感光谱指标与神经网络结合建模可有效估测县域大田冬小麦叶片氮素含量。     

大型渡槽槽身施工技术进展

阐述我国大型渡槽槽身施工技术的若干最新进展，并探讨了大型梁式渡槽槽身施工中的支撑浇筑系统、伸缩缝止水、预应力张拉等问题，提出大型渡槽槽身施工中支撑系统、施工方法、预应力张拉次序的选择，可供实际工程施工借鉴。     

采摘机器人位置校正方法研究——基于无线传感网络和超带宽调频方法

超带宽雷达是新近出现的一种高分辨率雷达,当信号带宽和其发射中心频率的比大于0.25时,就被称作超带宽,带宽越大,雷达对目标的分辨能力越高。超带宽雷达具有高分辩能力,如果将其使用在采摘机器人定位导航系统中,可以有效地提高采摘机器人的定位导航精度和效率。为此,提出了一种基于无线传感网络和超带宽调频技术的采摘机器人位置校正方法,并以实际采摘环境作为研究对象,对采摘机器人的位置校正过程进行了测试。测试结果表明:采用超带宽调频无线传感网络方法,定位校正精度要高于传统的定位算法,且定位效率高,对于新型自动化采摘作业机器人的研究具有重要的指导意义。     

非线性二阶阻尼微分方程的区间振动准则

给出非线性二阶阻尼微分方程新的振动准则,它们仅依赖于区间[t0,∞)的某些子区间序列的信息,不需要依赖于整个半直线,所得结果推广和改进了某些最近的结果.     

我国黑荆树适生区的划分及各区栽培技术要点

Based on the distribution of 64 locations in wattle natural distribution in Australia and the data collected from 61 plantations in 30 more countries, 5 important factors were selected for determining the suitable climatic requirements for the growth of wattle. The experience of plantation wattle in China for over 30 years has been summarized. According to the comparison of climate and geographic distribution of wattle in China and other countries, China is a suitable country for growing wattle. Based on the results of our investigation, a division of suitable areas for growing wattle in China was made. Key points of planting method in each area were suggested.     

利用反向遗传技术拯救H9N2重组病毒

为研制高效特异的H9N2亚型AI疫苗,选取我国具有代表性的毒株A/chicken/Shanghai/10/01(H9N2)(简称SH10),以12质粒系统为基础,利用反向遗传操作技术构建了1株表面基因由SH10提供、内部基因由12质粒系统提供的重组病毒SH/PR8,为新型疫苗的研制提供了新的毒株。     

A multi-analysis approach for space–time and economic evaluation of risks related with livestock diseases: The example of FMD in Peru

This study presents a multi-disciplinary decision-support tool, which integrates geo-statistics, social network analysis (SNA), spatial-stochastic spread model, economic analysis and mapping/visualization capabilities for the evaluation of the sanitary and socio-economic impact of livestock diseases under diverse epidemiologic scenarios. We illustrate the applicability of this tool using foot-and-mouth disease (FMD) in Peru as an example. The approach consisted on a flexible, multistep process that may be easily adapted based on data availability. The first module (mI) uses a geo-statistical approach for the estimation (if needed) of the distribution and abundance of susceptible population (in the example here, cattle, swine, sheep, goats, and camelids) at farm-level in the region or country of interest (Peru). The second module (mII) applies SNA for evaluating the farm-to-farm contact patterns and for exploring the structure and frequency of between-farm animal movements as a proxy for potential disease introduction or spread. The third module (mIII) integrates mI–II outputs into a spatial-stochastic model that simulates within- and between-farm FMD-transmission. The economic module (mIV) connects outputs from mI–III to provide an estimate of associated direct and indirect costs. A visualization module (mV) is also implemented to graph and map the outputs of module I–IV. After 1000 simulated epidemics, the mean (95% probability interval) number of outbreaks, infected animals, epidemic duration, and direct costs were 37 (1, 1164), 2152 (1, 13, 250), 63 days (0, 442), and US$ 1.2 million (1072, 9.5 million), respectively. Spread of disease was primarily local (<4.5 km), but geolocation and type of index farm strongly influenced the extent and spatial patterns of an epidemic. The approach is intended to support decisions in the last phase of the FMD eradication program in Peru, in particular to inform and support the implementation of risk-based surveillance and livestock insurance systems that may help to prevent and control potential FMD virus incursions into Peru.