贵州省水稻灌溉节水潜力及必要性分析

以2009年贵州省41个样点灌区田间观测数据为基础,采用彭曼-蒙特斯公式进行计算,对节水灌溉与传统灌溉2种灌溉模式作对比分析,得出贵州省水稻灌溉节水潜力,并提出贵州省实施水稻节水灌溉的必要性和紧迫性。     

基于改进形态学人脸图像的边缘检测算法

如何确定人脸特征并对这些特征进行有效提取是至关重要的。本文提出的形态学边缘检测算子,能够有效地检测出人脸图像边缘,并保持人脸边缘的平滑性。与传统的边缘检测算子相比,该算法性能好,计算量小,实用性强。     

云南湿热地区优良牧草距瓣豆的磷钾营养

采用单因子随机区组设计,在湿热地区赤红壤上开展优良热带豆科牧草—距瓣豆的磷、钾营养需求的试验。结果表明,施用磷、钾肥单位面积距瓣豆的干物质产量、氮磷钾总吸收量和粗蛋白产量明显提高;施磷可使距瓣豆的磷含量增加,氮含量相对稳定,钾含量逐渐下降;而且年均干物质产量和粗蛋白产量分别与施磷量存在的一元二次曲线方程的拟合程度较好（Yp＝1289+50.5X-0.55X2, r=0.9519**;Ycp＝254+12.2X1-0.14X12,r＝0.9398**）。施钾使距瓣豆的氮、磷含量趋于相对稳定,钾含量有所提高;年均干物质产量和粗蛋白产量分别与施钾量亦存在的一元二次曲线方程的拟合程度较好（Yk＝1259+19.2X-0.087X2,r=0.8546**;Ycp＝248+4.3X1-0.0204X12,r=0.8055**）。结果还表明,距瓣豆定植的第三年,必须按照磷钾比例1∶0.5～1.2施入磷、钾肥,以满足距瓣豆生长的营养需求和维持距瓣豆的高产稳产。     

基于改进YOLOv3的猪脸识别

针对生猪智能化管理中传统标识方法存在的易脱标,易引起生猪感染等问题,采用基于改进YOLOv3模型的非侵入式方法,对生猪多个体识别进行研究.针对原有的YOLOv3模型,在Darknet53特征提取器中引入密连块,结合下采样层组成新的骨干网络;在YOLOv3模型中添加改进的SPP单元,最终构建了YOLOv3 DB_SPP模...     

融合注意力机制的开集猪脸识别方法

针对闭集猪脸识别模型无法识别训练集中未曾出现的生猪个体的问题,本文设计了一种融合注意力机制的开集猪脸识别方法,可实现开集猪脸图像识别,识别模型从未处理过的生猪个体。首先基于全局注意力机制、倒置残差结构和深度可分离卷积构建了轻量级的特征提取模块(GCDSC);然后基于高效注意力机制、Ghost卷积和残差网络设计C3ECAGhost模块,提取猪脸图像高层语义特征;最后基于MobileFaceNet网络,融合GCDSC模块、C3ECAGhost模块、SphereFace损失函数和欧氏距离度量方法,构建PigFaceNet模型,实现开集猪脸识别。实验结果表明,GCDSC模块可使模型猪脸识别的准确率提高1.05个百分点,C3ECAGhost模块可将模型准确率进一步提高0.56个百分点。PigFaceNet模型在开集猪脸识别验证中的准确率可达94.28%,比改进前提高1.61个百分点,模型占用存储空间仅为5.44 MB,在提高准确率的同时实现了模型轻量化,可为猪场智慧化养殖提供参考方案。     

混凝土面板堆石坝面板接缝的渗流计算模型研究

基于等宽缝隙稳定流的运动规律,建立了面板接缝的渗流计算模型,并以公伯峡水电站大坝为例,对模型进行了验证。结果表明,该计算模型考虑了接缝充填情况,可计算确定各种接缝渗流要素,揭示了在面板接缝止水失效情况下面板堆石坝的渗流变化规律。     

Clinical use of dichlorvos (Nuvan) and trichlorfon (Neguvon) in the treatment of salmon louse, Lepeophtheirus salmonis. Compliance with the recommended treatment procedures

Veterinarians representing one third of the Norwegian fish farms were asked about the clinical use of dichlorvos and trichlorfon by use of a questionnaire. A total of 45 veterinarians had experience in treatment of salmon lice with these organophosphates. Fourty-nine percent of the veterinarians reported that the fish farmers in their region solely used the recommended treatment equipment when delousing the fish, of these 1/4 always oxygenated the treatment solution. Repeated treatment were always prescribed by 24% of the veterinarians, while 44% did this occasionally. Of the 45 veterinarians 7% were often present and 44% were occasionally present at the fish farms in connection with the treatment. The answers showed that compliance with the recommended treatment procedures was unsatisfactory.     

DIGITAL IMAGE PROCESSING

Image processing or digital image manipulation is one of the greatest advantages of digital radiography (DR). Preprocessing depends on the modality and corrects for system irregularities such as differential light detection efficiency, dead pixels, or dark noise. Processing is manipulation of the raw data just after acquisition. It is generally proprietary and specific to the DR vendor but encompasses manipulations such as unsharp mask filtering within two or more spatial frequency bands, histogram sliding and stretching, and gray scale rendition or lookup table application. These processing steps have a profound effect on the final appearance of the radiograph, but they can also lead to artifacts unique to digital systems. Postprocessing refers to manipulation of the final appearance of the radiograph by the end-user and does not involve alteration of the raw data.     

Desaturation times between dogs preoxygenated via face mask or flow-by technique before induction of anesthesia

Objective

To compare time to desaturation after induction of anesthesia following administration of oxygen via face mask or flow-by for 3 minutes.