CASSIO4800计算器测量放样程序的应用及优化

详细介绍了在公路开挖放样中,CASSIO4800计算器的测量放样程序的应用,并结合实际工作经验对圆曲线放样程序进行了优化。     

Deploying a Locata network to enable precise positioning in urban canyons

Locata is a new positioning technology developed by the Locata Corporation. At the beginning of 2007, the Institute of Engineering Surveying and Space Geodesy (IESSG) bought and received a network of Locata transceivers with two rovers. The purpose is to solve the challenges identified when surveying in dense multipath areas (i.e. urban canyons). In this paper, the technology is tested in an urban canyon scenario on the University park at the University of Nottingham. By comparing Locata position solutions with the true positions calculated with a total station and a carrier-phase GPS, the results show that centimetre-level accuracy is achievable in difficult environments in the presence of Wi-Fi signals. The rover’s estimated coordinates may diverge in some cases. Finally, a comparison study shows that Real Time Kinematic GPS and Locata technologies have similar accuracy when both are available.     

On comparison of the Earth orientation parameters obtained from different VLBI networks and observing programs

In this paper, a new geometry index of very long baseline interferometry (VLBI) observing networks, the volume of network V, is examined as an indicator of the errors in the Earth orientation parameters (EOP) obtained from VLBI observations. It has been shown that both EOP precision and accuracy can be well described by the power law σ = aV ^c in a wide range of the network size from domestic to global VLBI networks. In other words, as the network volume grows, the EOP errors become smaller following a power law. This should be taken into account for a proper comparison of EOP estimates obtained from different VLBI networks. Thus, performing correct EOP comparison allows us to investigate accurately finer factors affecting the EOP errors. In particular, it was found that the dependence of the EOP precision and accuracy on the recording data rate can also be described by a power law. One important conclusion is that the EOP accuracy depends primarily on the network geometry and to lesser extent on other factors, such as recording mode and data rate and scheduling parameters, whereas these factors have a stronger impact on the EOP precision.     

高速铁路隧道贯通测量方案优化与误差预计探讨

结合京沪高速铁路木石隧道工程,系统介绍隧道贯通测量方案优化与误差预计,从而确保隧道贯通精度,为今后类似工程积累了宝贵的经验。     

一株抗硅藻附着的海绵附生菌的鉴定及发酵条件优化

为了从海绵共附生微生物中寻找天然高效抗污损活性物质,本文针对前期研究获取的4株具有显著抗硅藻附着的活性菌株进行活性验证和比较,选出其中最优菌株进行菌种鉴定及发酵条件优化.比较了活性菌株对小新月菱形藻(Nitzschia closterium)、咖啡双眉藻(Amphora coffeaeformis)、碎片菱形藻(Nitzschia frustulum)附着的抑制活性,确定菌株UST050418-715为最优菌株;通过16S r DNA的测序分析,结合平板的菌落形态和扫描电镜下菌体特征,鉴定活性菌株UST050418-715为短小芽孢杆菌(Bacillus pumilus).为优化该菌株的培养条件,选择了酵母粉、蛋白胨、Na Cl、p H值进行四因素三水平的正交实验,对菌株培养条件进行优化.发现选择的4个因素对应的菌株发酵产物对硅藻附着的抑制活性大小不同,影响显著性顺序是酵母粉蛋白胨Na Clp H值,综合菌株发酵产物活性、粗提物产量和菌株生长情况进行分析,确定菌株UST050418-715基于海洋2216E培养基的最佳发酵条件为:蛋白胨含量7.5 g/dm3,酵母粉含量3 g/dm3,Na Cl含量10.45 g/dm3,p H值9.5.     

基于粒子群优化算法的PSO-BP海底声学底质分类方法

利用粒子群优化算法（PSO）较强的鲁棒性和全局搜索能力等优点,将PSO算法与BP神经网络相结合,优化了BP神经网络分类时的初始权值和阈值。基于珠江河口三角洲的侧扫声呐图像数据,提取了海底声呐图像中砂、礁石、泥3类典型底质的6种主要特征向量,利用PSO-BP方法对海底底质进行分类识别。实验表明,3类底质分类精度均大于90%,高于BP神经网络70%左右的分类精度,表明PSO-BP方法可有效应用于海底底质的分类识别。     

海洋解木糖赖氨酸芽孢杆菌JZ008对重金属Cd2+、Cr3+和Cu2+的吸附作用

利用单因素实验对海洋解木糖赖氨酸芽孢杆菌(Lysinibacillus xylanilyticus sp.JZ008)培养条件进行了优化.优化后的培养条件:温度为35℃、pH值为7.5、接种量为3%(V/V)、装液量为50cm3/250 cm3时,菌量达到2.01×108CFU/cm3,比优化之前提高了40.6%.添加海藻寡糖可以促进菌株生长,添加量为5.0 g/dm3时发酵液中活菌数是对照组的2.51倍.研究了菌株JZ008对Cd~(2+)、Cr~(3+)、Cu~(2+)3种重金属离子的吸附特性,结果表明菌株JZ008对3种重金属离子污染的水溶液吸附率效果明显,20 d吸附率分别达到95.6%、96.4%、87.0%.土壤重金属吸附实验结果表明,海藻寡糖复配菌株JZ008组对Cd~(2+)、Cr~(3+)、Cu~(2+)吸附效果明显,60 d吸附率分别达到82.5%、82.0%、86.9%.菌株JZ008对重金属的优良吸附作用为进一步开发解木糖赖氨酸芽孢杆菌在重金属修复方面的应用奠定了基础.     

Multi-Objective Optimization of A Semisubmersible for Ultra-Deep Water

Semisubmersible will work well when oil exploitation goes to ultra-deep water because of its variable load capacities, and good motion performance in extreme waves. It is considered to be a main type of platform while the water depth is more than 3000 meters. This paper establishes a multi-objective optimization model of semisubmersible for ultra-deep water, and it is solved by a multi-objective genetic algorithm--NSGA-Ⅱ. The model is applied to a practical design, and Pareto results are obtained. The effectiveness of the method is verified by hydrodynamic analysis.     

环境管理信息网络系统概念框架

本文借鉴国内外环境管理信息系统(EMIS)研究经验,结合网络通信技术,建立了环境管理信息网络系统(EMINS)概念框架,它由分布式的若干环保企业网通过Internet连接而成,每个环保企业网由信息系统、应用系统、网络系统三部分组成。对此,提出了从两条交错发展的主线分级实现EMINS的设想: 一是水平方向上网络范围的扩展;二是纵深方向上应用功能的发展。两条主线交错发展,最终可实现 Internet环境下开放式环境智能决策支持系统(EIDDS).     

草鱼、鲢鱼和凡纳滨对虾多元化养殖系统结构优化的研究

采用陆基围隔实验法,开展了草鱼(Ctenopharyngodon idellus)、鲢鱼(Hypophthalmichthys molitrix)和凡纳滨对虾(Litopenaeus vannamei)三元混养结构优化的初步研究。实验于2009年5～10月进行,每月定期采样,分别测定了各混养系统水质和底质的变化、养殖生物的成活率和养殖产量,分析了各混养系统的饲料转化效率、氮磷利用率及产出投入比。实验结果初步表明,草鱼放养密度为0.77尾/m2时,既可以保证出池规格(>1 100 g/尾)又不影响收获产量(>8 400 kg/hm2),同时饲料转化效率(>52%)及氮磷利用率(N>30%,P>14%)也较高;鲢鱼放养密度为0.23尾/m2或0.45尾/m2,可以起到调节水质的作用;对虾放养密度越大(48.9尾/m2),底质被污染程度越小。在本实验条件下,最佳的混养模式:草鱼与鲢鱼混养比例为草鱼0.77尾/m2鲢鱼0.45尾/m2;草鱼、鲢鱼和对虾混养比例为草鱼0.77尾/m2鲢鱼0.23尾/m2凡纳滨对虾16.3尾/m2。