基于卷积神经网络的微藻种类识别

微藻在生态系统的结构和功能中具有极为重要的作用,而传统光学人工镜检方法对微藻种类鉴别具有较大的难度。本研究将微藻的光学图像进行了采样,并结合国内外专家对微藻鉴定的经验知识,制作了微藻图像数据集,并进行了数据增强处理。借助深度学习的原理和方法,构建了基于卷积神经网络结构的深度学习模型（AlexNet）,对模型进行了训练,并利用5折交叉验证方法确保模型的稳定性。结果表明,模型的训练精度可达到98.78±0.98%,测试精度达85.46±0.23%,达到了预期效果。利用AlexNet模型训练得到的参数,对预留的280个样本图像进行实际测试,7个藻种的平均精确度、平均召回率和平均F1 Score分别为0.832,0.844和0.833。表明深度学习方法是鉴定微藻的一种有效方法。     

环状病毒基因组电泳图谱计算机自动分析系统

本研究建立了环状病毒基因组电泳图谱的计算机自动分析系统，它在环状病毒病的检疫，定性和定型鉴定以及分子流子病学研究等方面有重要应用价值。     

人造板铺装机钢带跑偏自动调节系统的设计方案

本文提出了一个控制人造板铺装机钢带跑偏的自动调节系统,该系统具有结构简单,反应迅速的特点,可满足生产上的要求。     

Incorporation of observations with different residual error variances into existing complex test-day models

Automated milking systems (AMS) have become popular on dairy farms. Due to a different test-day recording scheme the variation of test-day observations differ from AMS differ from those of conventional milking system (CMS). An approach is presented for upgrading the genetic evaluation model for production traits milk, protein and fat yield by including residual covariance matrices for AMS and CMS test-day observations. Residual variances were found to be 16–37% smaller for milk and protein yields and 42–47% larger for fat yield when recorded under AMS herds compared to CMS herds. Daily heritability was higher for milk and protein yield and lower for fat yield when traits were recorded under AMS compared to recording under CMS. No difference was found between AMS and CMS in 305-day heritability for milk and protein yield except for second lactation milk yield. 305-day heritability for fat was lower for all lactations under AMS.     

本溪县雨量监测报警系统的研发及应用

本溪县雨量监测报警系统将本溪县地方政府建设的山洪雨量监测系统(20个山洪单雨量自动站)数据与气象自动站监测系统(20个区域气象自动站的雨量部分)数据统一到一个数据库,应用到同一个系统平台,实现统一实时显示、查询,在雨量达不同级别时自动报警,根据服务需要实现全县雨情图的制作。     

An automatic counting system for transparent pelagic fish eggs based on computer vision

Alive eggs of marine species with pelagic eggs float, while dead eggs usually sink. A non-invasive method for counting the number of floating eggs therefore gives the possibility to track survival throughout experiments. In this paper we present an automatic image analysis method for counting live pelagic eggs of marine fish. Pelagic fish eggs are typically transparent and difficult to detect in images. Current image analysis methods for counting pelagic fish eggs are therefore done on eggs transfixed in a polymer to create contrast between the eggs and the background. This kills the eggs. The main advantage of the presented method is that it is non-invasive and only requires a minimum of handling of the eggs. As case studies we collected images of Atlantic haddock (Melanogrammus aeglefinus) and Atlantic cod (Gadus morhua) eggs. The eggs in the images were manually counted for verification of the methodology. The average counting error of false positives was 6% and the average counting error of false negatives was 2%. This demonstrates that the method is objective and accurate.     

区域自动气象站中心站的安装与维护

文章介绍了呼和浩特区域自动气象站中心站安装方法以及日常维护要点。     

浅谈《自动控制原理》课程教学改革

《自动控制原理》是相关专业的一门重要专业基础课程。为适应新形势下教育发展的需要,提出在课堂教学和实验教学方面进行改革的具体措施。教学实践表明,通过这些改革,提高了学生学习的积极性、主动性,增强了学生分析问题和解决问题的能力,培养了学生的创新能力与思维能力,而且进一步加深了对自动控制原理课程基本理论与基本概念的理解,为后续课程的学习奠定了坚实的基础。     

利用内部信息的农用自动引导行走车的研究(第4报) 适应农业环境的控制系统

研究的行走控制系统由软、硬两部分组成，通过建立系统的控制模型，开发了利用非线性理论进行线性变换的直线行走控制方法和利用预测控制进行曲线行走控制的方法，通过实验确定了控制系统的参数；改造设计了行走车的行走与操向部分。实现了计算机的行走控制。     

亚热带红壤丘陵区水稻田净全辐射初探

对中国科学院千烟洲试验站水稻田与气象站的辐射观测数据进行初步分析结果表明,我国亚热带红壤丘陵区水稻田净全辐射和太阳总辐射最高值出现在地方时的1100～1300,日出后和日落前1h左右通过0点;夜间总辐射为0W/m