A high-throughput maize kernel traits scorer based on line-scan imaging

Maize kernel traits such as kernel length, kernel width and kernel number determine kernel weight and, consequently, maize yield. Therefore, the measurement of kernel traits is important for maize breeding and the evaluation of maize yield. The conventional method for measuring kernel traits is still manual, which is time consuming, costly and subjective. In this study, a novel maize kernel traits scorer (MKTS) was developed for the automatic measurement of 12 maize kernel traits based on line-scan imaging, image processing, and automatic control techniques. Here, total of 615 samples were measured to evaluate the system performance. The results showed that the MKTS was capable of evaluating maize kernel traits with the mean absolute percentage error of the manual and automatic measurements less than 5% and the measurement efficiency of approximately 72 s for the measurement of 6 ears. In conclusion, this high-throughput scorer will provide maize scientists with a novel tool to assist in maize functional genetics and maize breeding.     

Adaptive modulation recognition based on the evolutionary algorithms

Nowadays, the development of classification algorithms gives the ability to improve Automatic Modulation Recognition (AMR) effectively. This paper presents a novel modulation recognition algorithm based on clustering approach. Generally, we aim to distinguish multicarrier modulation OFDM from single-carrier modulations. In this regard, two statistics of the amplitude of the received signal are calculated at the output of a quadrature mixer as key features. The extracted features of training data points are submitted to the clustering algorithm, then, centroids for single-carrier and multicarrier modulations are assessed. Afterwards, each point of testing dataset is dedicated to its nearest centroid based on Euclidian distance and the recognition is accomplished. Simulation results demonstrate that the algorithm is beneficial in a wide range from low to high SNRs.     

虚拟仪器在力矩工具检定装置中的应用

本文介绍了我单位研制的力矩工具自动检定系统在量值传递工作中的应用情况。提出了通过虚拟仪器在力矩工具计量检定、数据统计等方面实现信息化、自动化的设想及具体技术手段。     

四挡辛普森自动变速器动力流分析

四挡辛普森自动变速器行星传动,接合元件种类多,整个机构结构很复杂。为此,阐述了四挡辛普森自动变速器格挡位动力流及执行元件的工作情况,特别是对不容易理解的几个执行器做了详细阐述。为四挡辛普森自动变速器的故障诊断和维修奠定基础。     

直接求解法在结构多点输入地震响应计算中的应用与改进

将以绝对位移形式求解动力方程的直接求解法引入结构多点输入地震响应计算。与常用的将位移分解为拟静力绝对位移和相对动力位移的分解法相比,直接法的概念更为简洁,计算量小,且更适用于非线性计算。对于采用振型叠加法的直接法,仅使用少量低阶振型可能导致较大误差。引入静力修正方法,提出了高效的改进直接法。算例结果表明,修正直接法只需少量低阶振型即可获得足够的精度,精度与分解法相当。     

南方CASS软件前方交会计算方法的探讨

CASS软件提供了多种交会法的计算方法,在确保精度的前提下,每种方法都有它在特定环境下的优越性与适用性。结合工程测量实际,在分析计算方法的基础上,指出使用经纬仪、电子经纬仪、全站仪前方交会时,利用南方CASS前方交会方法进行内业计算应注意的问题。针对软件本身在计算前方交会法时,无法利用外业测量角度直接计算所求P点坐标,提出具体的解决方案。     

鞍钢35000m~3/h空分设备自动变负荷控制

简介鞍钢35000m3/h空分设备工艺流程和自动变负荷的主要控制参数,详细分析自动变负荷过程模型以及实现的控制功能,阐述自动变负荷的调节时间和实施效果。     

在DCS系统中实现对原料卸料小车的自动控制

本文介绍了从实际条件出发,应用DCS和位置检测开关实现的原料卸料小车的自动控制。在该系统中,根据实际工艺需求编写应用程序,以适应不同工况的控制要求。该系统具有成本低、控制可靠的特点。自投运以来,运行可靠,实现了卸料小车的自动选仓下料、自动启停及电气联锁保护等功能,该技术具有一定的应用推广价值。     

宽厚板试样剪自动定位控制优化

宽厚板试样剪作为样品剪切及运送的设备,安装在定尺剪的下游。它在实际使用过程中,由于钢板在传送链上打滑、滚轮磨损等原因,造成长度定位不稳定、长度过短等严重问题,难以实现有关技术功能规格以及生产控制的要求。因而准备对剪切过程定位控制功能进行改造,根据原有现场设备,优化了现阶段的控制方式。优化后的系统,满足生产控制的要求。     

Analysis of different containment models for IRIS small break LOCA, using GOTHIC and RELAP5 codes

Advanced nuclear water reactors rely on containment behaviour in realization of some of their passive safety functions. Steam condensation on containment walls, where non-condensable gas effects are significant, is an important feature of the new passive containment concepts, like the AP600/1000 ones.In this work the international reactor innovative and secure (IRIS) was taken as reference, and the relevant condensation phenomena involved within its containment were investigated with different computational tools. In particular, IRIS containment response to a small break LOCA (SBLOCA) was calculated with GOTHIC and RELAP5 codes. A simplified model of IRIS containment drywell was implemented with RELAP5 according to a sliced approach, based on the two-pipe-with-junction concept, while it was addressed with GOTHIC using several modelling options, regarding both heat transfer correlations and volume and thermal structure nodalization. The influence on containment behaviour prediction was investigated in terms of drywell temperature and pressure response, heat transfer coefficient (HTC) and steam volume fraction distribution, and internal recirculating mass flow rate. The objective of the paper is to preliminarily compare the capability of the two codes in modelling of the same postulated accident, thus to check the results obtained with RELAP5, when applied in a situation not covered by its validation matrix (comprising SBLOCA and to some extent LBLOCA transients, but not explicitly the modelling of large dry containment volumes).The option to include or not droplets in fluid mass flow discharged to the containment was the most influencing parameter for GOTHIC simulations. Despite some drawbacks, due, e.g. to a marked overestimation of internal natural recirculation, RELAP5 confirmed its capability to satisfactorily model the basic processes in IRIS containment following SBLOCA.