甘蔗农业生产系统模拟模型模块化设计与应用研究进展

以APSIM甘蔗模型(APSIM-Sugar)为例,简要介绍了由澳大利亚农业生产系统研究协作组(APSRU)开发的农业生产系统模拟模型(Agricultural Production System si Mulator,APSIM)中作物、土壤等核心模块的基本过程原理、参数确定、模型验证等模块化设计与应用研究进展,为学习了解和使用APSIM模型开展农田土壤-作物系统模拟研究提供参考。

人工神经网络在生产系统模拟中的应用

将人工神经网络（ＡＮＮ）引入生产系统模拟领域是一个崭新的研究方向，本文反映了在这个方向上的一些研究成果。本文提出了面向生产系统模拟的ＡＮＮ模型设计过程、基于ＡＮＮ的系统模拟建模过程和如何建立一个ＡＮＮ模型用以在模拟中选择排序规则。

薄煤层综采开采效率计算机模拟分析

薄煤层开采效率受多种因素影响,以大斗沟煤矿薄煤层开采为基础,应用计算机模拟技术,将现场调研的停开机时间、采煤机速度及工艺参数作为模拟的基础数据,再现工作面生产过程,详细的分析了各影响因素对工作面开采效率的影响,发现了工作面生产系统存在的问题。模拟分析表明:生产设备因素和辅助设备因素是影响大斗沟煤矿82203工作面开采效率的最主要因素,82203工作面在地质条件和开采水平处于国内平均水平时,年产量可以达到58.4万t。模拟结果为提高薄煤层的开采效率,优化薄煤层工作面的生产环节提供了依据。

第30届国际会议MATATOR论文集

这是自1959年开始的该国际会议上宣读的报告汇集的论文集。它是有关加工工业领域谷村理论和生产问题的历史最悠久的学术会议之一，除了纯技术问题之外，本汇编还涉及行业发展的最新趋势．例如，专家系统和自动化设计系统的应用。这套会议资料是按以下部份编排的：生产系统，金属的切削和磨削加工，造型．生产教育培训，专家系统，中性网络（ntutralnetwork）技术系统，材料流动管理．生产系统模拟．设计，工艺过程自动化设计，机器人，计量学，计划．来自30多个国家（首先是英国）的专家参加了会议．这套会议文集可供加工工业中研究人员，以及从事生产实践的人员参考。

Fundamental behaviours of production traffic in underground mine haulage ramps

Ramps(or declines) are often used in underground mines to transport ore, waste, materials, and personnel. This paper studies mine ramp productivity and presents results from a set of computer simulations designed to model the fundamental behaviours of ramp haulage systems. Simulations show that, under fundamental assumptions without random disturbances, the haulage system always converges to a periodic behaviour in the steady state, but that productivities vary between equilibria. Simulations also demonstrate how productivity per vehicle does not necessarily decrease as more vehicles are added and,for example, in the five-vehicle case, how a 3.1% improvement can be achieved over the use of four vehicles. The result reveals the inefficiency of commonly-used lockout-style vehicle coordination strategies,and suggests a possible avenue for improving the productivity of haulage ramps by controlling the system to achieve more productive behaviours.

Capillary Phase-Transition and Self-Diffusion of Ethylene in the Slit Carbon Pores

The grand canonical Monte Carlo (GCMC), the canonical Monte Carlo by using equal probability perturbation, and the molecular dynamics (MD) methods were used to study the capillary phase-transition (capillary condensation and evaporation) and self-diffusion for a simple Lennard-Jones model of ethylene confined in slit carbon pores of 2.109 nm at temperatures between 141.26 K and 201.80 K. The critical point of capillary phase-transition was extrapolated by the critical power law and the law of rectilinear diameter from the capillary phase-transition data in the near critical region. The effects of temperature and fluid density on the parallel self-diffusion coefficients of ethylene molecules confined in the slit carbon pores were examined. The results showed that the parallel selfdiffusion coefficients in the capillary phase transition area strongly depended on the fluids local densities in the slit carbon pores.

Reliability emulation of production system on longwall face

Based on the theory of random process and the characteristic of the functioning of a system component subject to a certain specific probability distribution, emulated the whole process of system production on Iongwall face was emulated, in which the methods of time pace and computer random emulation were adopted. The paper provides an objective basis for the analysis of a mining Iongwall face and the varied lines of effectiveness, machine stoppage rate and coal flow of components and system, and output etc.lt also offers some theories to improve productivity by discussing the application of the transformation plan and optimization of reasonable coal stock capacity, as well as selection of system equipment and matching optimization.

A systematic study of the determinants of protein abundance memory in cell lineage

Proteins are essential players of life activities, lntraceUular protein levels directly affect cellular functions and cell fate. Upon cell division, the proteins in the mother cell are inherited by the daughters. However, what factors and by how much they affect this epigenetic inheritance of protein abundance remains unclear. Using both computational and experimental approaches, we systematically investigated this problem. We derived an analytical expression for the dependence of protein inheritance on various factors and showed that it agreed with numerical simulations of protein production and experimental results. Our work provides a framework for quantitative studies of protein inheritance and for the potential application of protein memory manipulation.