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.     

An IPC-based Prolog design pattern for integrating backward chaining inference into applications or embedded systems

Prolog is one of the most important candidates to build expert systems and AI-related programs and has potential applications in embedded systems. However, Prolog is not suitable to develop many kinds of components, such as data acquisition and task scheduling, which are also crucial. To make the best use of the advantages and bypass the disadvantages, it is attractive to integrate Prolog with programs developed by other languages. In this paper, an IPC-based method is used to integrate backward chaining inference implemented by Prolog into applications or embedded systems. A Prolog design pattern is derived from the method for reuse, whose principle and definition are provided in detail. Additionally, the design pattern is applied to a target system, which is free software, to verify its feasibility. The detailed implementation of the application is given to clarify the design pattern. The design pattern can be further applied to wide range applications and embedded systems and the method described in this paper can also be adopted for other logic programming languages.     

热解气体燃烧对炭化复合材料烧蚀热响应影响规律

在近空间高超声速飞行器飞行时间长、马赫数不断增加的发展趋势下，热防护与轻量化的矛盾越来越突出。基于此，开展了热解气体燃烧对炭化复合材料表面烧蚀影响的相关数值模拟研究，并与风洞试验结果进行了对比。结果表明：热解气体的燃烧可降低炭化复合材料表面的烧蚀厚度，并且随着气动热的增加，热解气体燃烧对材料表面碳的保护作用越来越明显。研究成果可为下一代近空间高超声速飞行器热防护系统的优化设计提供技术支撑。     

Design and Fabrication of a Bio-inspired Acceleration Sensor Using Liquid Mass Blocks

A linear acceleration sensor,which is inspired by the human balance organ,is designed and prepared. It uses a liquid mass-block and a symmetrical-electrodes metal-core polyvinylidene fluoride fiber(SMPF)as the sensor element. The output signal of the sensor has an exponential relationship with the excitation amplitude of the impacting vibration. It is capable of detecting the amplitude and the correct frequency for sinusoidal excitations using an exponential correlation. The experiments indicate that both the output signal of the sensor and the resonance frequency increase substantially with increasing diameter of the metal core. The first-order resonance frequencies of the sensors with 40,60,and 80 μm diameter metal wires are below 10 Hz,which is near the range of human body motion frequencies.     

Exponent及Gauss型遥测数据建模初始化算法

在对某大型航天电子设备的遥测数据建模时,经常遇到含有指数类变化规律的数据,对其进行建模可以为研究设备性能的变化规律、实际与设计的差异等提供手段。针对有指数变化趋势的遥测数据,采用Exponent模型、Gauss模型对遥测数据建模,给出了这种数据模型的表达式,研究了2种模型的参数初始化算法。通过数值实验说明模型参数初始化算法的有效性,为后续利用最优化理论求解模型精确参数提供了良好的初试点。     

运动激波对氦气泡变形过程影响的仿真研究

使用水平集方法(Level Set Method)研究超声速气流中氦气泡的变形问题。通过比较全局重构和局部重构两种方法重新初始化符号距离函数(SDF)的效果,发现局部重构更省时,所得结果与实验结果更吻合,而全局重构存在控制误差的优化问题。在此基础上分析了激波强度和角度对气泡变形过程的影响,发现激波强度越大,气泡在相同的位移条件下变形得越明显,并且在相同激波强度下,斜激波对气泡界面变形的作用效果更为明显。     

我国航空情报服务向航空信息管理方向发展探索

AIM是近年来国际民航界提出的一个新的航空信息管理的概念,它包含一系列航空信息服务的理论、目标和方法。本文通过对AIM的核心内容、目标和技术实现进行分析,提出了我国航空情报的发展方向。     

Calculation of heat conduction in aerospace plane thermal protection system

In this paper, a technique is proposed for calculating the heat conduction of heatprotection tiles in aerospace planes by using as a base the now-existing algorithms to analyze the composite material characteristics as well as thermoforce analogy. The efficiency of this technique is confirmed by the numerical calculation.     

低本底α、β测量仪效率校准研究

简述了低本底α、β测量仪效率校准的基本原理,研究了自吸收和面积与探测效率的关系,评定了效率校准中的不确定度,并分析了效率在α、β样品测量中的应用。     

模糊数学在机械工程材料选择中的应用

介绍了模糊数学中的基本概念、隶属函数及模糊评判的基本理论，并首次提出将模糊数学的理论知识、分析方法与人工智能基本理论相结合，并借助于计算机完成机械工程材料的选择，从而使机械工程材料选择更为科学、更为简单。本文还对此方法进行了实例验证，其效果良好，设计者只需输入工作要求，便可以确定出欲选材料的优先次序。