Low light intensity effects on the growth,photosynthetic characteristics,antioxidant capacity,yield and quality of wheat (Triticum aestivum L.) at different growth stages in BLSS

Minimizing energy consumption and maximizing crop productivity are major challenges to growing plants in Bioregenerative Life Support System (BLSS) for future long-term space mission. As a primary source of energy, light is one of the most important environmental factors for plant growth. The purpose of this study is to investigate the effects of low light intensity at different stages on growth, pigment composition, photosynthetic efficiency, biological production and antioxidant defence systems of wheat (Triticum aestivum L.) cultivars during ontogenesis. Experiments were divided into 3 intensity-controlled stages according to growth period (a total of 65 days): seedling stage (first 20 days), heading and flowering stage (middle 30 days) and grain filling stage (last 15 days). Initial light condition of the control was 420 μmol m⁻² s⁻¹ and the light intensity increased with the growth of wheat plants. The light intensities of group I and II at the first stage and the last stage were adjusted to the half level of the control respectively. For group III, the first and the last stage were both adjusted to half level of the control. During the middle 30 days, all treatments were kept the same intensity. The results indicated that low-light treatment at seedling stage, biomass, nutritional contents, components of inedible biomass and healthy index (including peroxidase (POD) activity, malondialdehyde (MDA) and proline content) of wheat plants have no significant difference to the control. Furthermore, unit kilojoule yield of group I reached 0.591 × 10⁻³ g/kJ and induced the highest energy efficiency. However, low-light treatment at grain filling stage affected the final production significantly.     

基于华氏宏观经济数学模型的高等职业教育动态投入产出模型

伴随着经济的发展和产业结构的变化,高等职业教育越来越受重视,高职教育的投入产出关系也引起了人们的关注。通过分析高职教育的投入产出关系,应用华氏宏观经济数学模型建立了高等职业教育动态投入产出模型。它对分析高职教育各项投入的效率具有实际意义。     

几种流量测量仪表的选择与节能

对国内能源系统常用的几种工业流量测量仪表实际应用选择及节能问题，简要地进行了原理分析和实际应用分析，供使用者优选流量仪表参考。     

Drought prediction using the Along Track Scanning Radiometer (ATSR2) on board ERS2 satellite

Frequent monitoring and estimation of the areas under drought danger is important for agriculture, hydrology, weather, natural hazards and crop yield prediction.     

基于DSP与单片机双机系统的电能质量监测装置

电能质量监控装置在硬件上采用TI公司的C2000系列DSP作为主运算单元,WINBOND公司的W78E58单片机作为主要外设控制单元,在软件上使用了MATLAB算法模拟功能和uC/OS-Ⅱ嵌入式操作系统,设计出一款电能质量监测装置,对提高电能供电质量提供了保障.     

THE DECOUPLING CONTROL FORAIRCRAFT IN RAPID ROLL

ＴＨＥＤＥＣＯＵＰＬＩＮＧＣＯＮＴＲＯＬＦＯＲＡＩＲＣＲＡＦＴＩＮＲＡＰＩＤＲＯＬＬＨｕＷｅｉｄｕｏ，ＺｈａｎｇＭｉｎｇｌｉａｎ，ＷｅｎＣｈｕａｎｙｕａｎ（ＤｅｐａｒｔｍｅｎｔｏｆＡｕｔｏｍａｔｉｃＣｏｎｔｒｏｌ，ＢｅｉｊｉｎｇＵｎｉｖｅｒｓｉｔｙｏ...     

锥形腔高能量激光能量计后向散射问题研究

高能量激光能量的准确计量对于相关研究至关重要。量热法是测量高能量激光能量的一种有效方法,其中涉及到的入射激光在能量计吸收腔内的后向散射总能量,是一个关键参量,它的准确测定与计量,将大大提高高能量激光能量计量的准确性。依据能量计内表面与入射激光相互作用的光学定律,详细推导了锥形吸收腔内入射激光光束能量的分布函数,并结合复化辛普森数值计算方法,分析和讨论了吸收腔结构一定时,环形和矩形两种不同光斑形状的高能量激光在锥形能量计吸收腔开口处的后向散射光功率密度分布和后向散射总功率以及它们对能量测量结果的影响。     

The energy release of substorm and magnetic storm: Its present state and future improvements by KuaFu mission

Considering the KuaFu mission, state of the energy release of substorm and storm is simply presented and it’s improvements by KuaFu mission are investigated. The KuaFu mission will provide us an opportunity to improve our understanding of the energy release during the storm and the substorms. The two KuaFu-B satellites flying in 180° phase-lagged formation in a polar orbit will allow synoptic observations of the auroral oval, central plasma sheet, ring current and other regions. It can monitor the polar region 24/7 continuously. The advantage of the KuaFu mission is to provide the data during all phases of storm and substorm time that can be used to study the global energy release during all phases continuously. The data from auroral imager and other in-situ instruments on board KuaFu-B can be used to study the auroral dynamics and Joule heating during a storm and substorm. The data from the neutral atom imager instrument can be used to study the dynamics and the energy release in the ring current region from sudden commencement to complete storm recovery. Furthermore the data from KuaFu-A, which is around L1 point, can be used to study the interplanetary conditions along with the data from the plasma sheet to study the triggering process and energy release during a substorm. So, KuaFu mission with its continuous time monitoring facilities would enable us to make much progress towards solving the underlying problems.     

基于局部主动轮廓模型的飞机壁板铆接孔定位方法研究

对飞机壁板铆接孔的定位方法进行了研究,提出了一种基于局部主动轮廓模型的铆接孔定位方法。首先通过基于灰度直方图的全局阈值分割和形心法进行铆接孔的粗定位;然后以粗定位坐标为圆心建立遍历圆,并以遍历圆作为限制条件构造能量圆,建立能量方程求解遍历圆内能量最小的像素点为铆接孔的精定位位置;最后进行视觉引导铆接孔定位试验,试验测得定位误差小于0.05mm,满足飞机壁板自动铆接的工艺要求,且比传统的区域主动轮廓模型定位精度高,具有一定的可行性。     

基于互信息的输入变量选择算法综述

空间环境是空间态势感知的重要组成部分,在空间科学领域,受限于对日地系统物理规律的全面认知,现有的基于物理机制的空间环境预测模型目前还难以实用化,通常采用的多是基于数据的经验类模型。基于互信息的输入变量选择算法为空间环境要素预测模型的输入确定了思路。由于能充分考虑不同输入、输入与输出之间的潜在关系,基于互信息的输入变量选择算法近年来在回归及分类问题上得到了广泛的应用和发展。本文以输入变量选择算法的3个关键环节,即评价标准、搜索策略和停止准则为线索,从不同角度对基于互信息的过滤式变量选择算法进行了系统的分析与梳理,重点对不同变量评价标准依赖的假设条件进行了数学上的推导和说明。最后总结了其发展规律,可为后续研究尤其是建立空间环境预测模型提供借鉴。