牙鲆(Paralichthys olivaceus)β诺达病毒衣壳蛋白重组表达及复性条件优化 组表达及复性条件优化

β诺达病毒利用其缺乏校正功能的聚合酶进行基因组复制, 易导致突变, 因而具有广泛的宿主感染性, 而且可引发致死率极高的病毒性神经坏死症, 需要有针对性地研究检测及防御方法。本研究以感染牙鲆(Paralichthys olivaceus)的β诺达病毒为对象, 利用引物设计, 将His标签编码序列连接到完整病毒衣壳蛋白C端, 构建原核表达载体; 采用SDS-PAGE及质谱对表达产物进行分离和鉴定; 重组衣壳蛋白经镍离子亲和柱纯化后进行复性条件的正交优化。结果表明4个肽段经质谱鉴 定与预期一致; 纯化产物产量可达36mg/L; 4°C条件下, 复性缓冲液中尿素和PBS的最适浓度为0.8mol/L和0.05mol/L。本研究建立的制备方案可为研制相关疫苗以及开发针对该病毒的快速检测产品等提供有价值的参考。     

海底双相随机介质声反射的SVM神经网络分类识别研究

考虑海底沉积介质为双相介质,为了更好地模拟实际海底底质的不均匀性,将随机介质理论引入双相介质理论。首先,通过基于随机-双相介质理论的高阶有限差分数值技术模拟计算海底底质分别为泥质砂、泥、泥质砾时的地震反射波信号。然后利用小波变换分别求取不同底质的一次反射波的包络作为其特征向量,最后利用基于粒子群智能算法优化的支持向量机神经网络对这些反射波信号进行分类识别。为了进一步考察所用方法的抗噪能力,对正演得到的海底底质反射波信号分别加入10%、30%、50%的高斯白噪音之后再进行分类,支持向量机仍然取得了较好的分类预测效果。基于上述正演模拟及分类识别方法的论证,提出了一套行之有效的微机软件模拟海底沉积物分类识别的一般化流程,这将有利于开展海底沉积物反射特征的进一步研究。     

直驱式波浪能转换系统的研究和性能优化

A direct-drive wave energy conversion system based on a three-phase permanent magnet tubular linear generator （PMTLG） and a heaving buoy is proposed to convert wave energy into electrical energy. Sufficient experimental methods are adopted to compare the computer simulations, the validity of which is verified by the experiment results from a wave tank laboratory. In the experiment, the motion curves of heaving buoy are with small fluctuations, mainly caused by the PMTLG＇s detent force. For the reduction of these small fluctuations and a maximum operational efficiency of the direct-drive wave energy conversion system, the PMTLG＇s detent force minimization technique and the heaving buoy optimization will be discussed. It is discovered that the operational efficiency of the direct-drive wave energy conversion system increases dramatically after optimization. The experiment and optimization results will provide useful reference for the future research on ocean wave energy conversion system.     

Nonlinear optimization method of ship floating condition calculation in wave based on vector

Ship floating condition in regular waves is calculated. New equations controlling any ship＇s floating condition are proposed by use of the vector operation. This form is a nonlinear optimization problem which can be solved using the penalty function method with constant coefficients. And the solving process is accelerated by dichotomy. During the solving process, the ship＇s displacement and buoyant centre have been calculated by the integration of the ship surface according to the waterline. The ship surface is described using an accumulative chord length theory in order to determine the displacement, the buoyancy center and the waterline. The draught forming the waterline at each station can be found out by calculating the intersection of the ship surface and the wave surface. The results of an example indicate that this method is exact and efficient. It can calculate the ship floating condition in regular waves as well as simplify the calculation and improve the computational efficiency and the precision of results.     

基于GA参数辨识的直流伺服电机PID调节器的设计

针对数控火焰切割机自动调高系统的特点和要求,采用遗传算法对其位置调节器PID参数进行全局优化辨识,有效地解决了直流伺服电机的控制精度和快速性的问题.仿真结果表明,与传统的参数辨识法相比,遗传算法参数寻优使自动调高系统的动态性能大幅提高,具有很强的鲁棒性.     

大量气象数据小文件自适应优化传输

为满足气象实时资料传输中大量气象数据小文件的高时效传输需求,对其中的数据传输服务进行优化,提出一种基于实时网络状况的自适应数据传输优化方法。该方法采用优化网络传输协议并使用文件压缩技术,通过获取网络传输线路上的实时参数,实时调整压缩参数和网络传输参数以优化传输性能。在自适应压缩时,通过试验分析和归纳,确立了气象数据小文件标准为文件小于50 KB;根据网络实时状况,设计了基于实时网络状况自适应调整压缩等级的算法。在自适应传输参数调优中,研究了TCP缓冲区大小和TCP并发连接数在GridFTP协议中的重要性,针对实时网络状况,分别设计了自适应调整TCP缓冲区大小和TCP并发连接数的算法,算法提升传输性能65%。对以上提出各自适应参数调整算法进行试验验证表明,融合压缩和网络传输的自适应调优方法能显著提升气象小数据文件的传输性能近500倍。     

Assessing the performance of two unsupervised dimensionality reduction techniques on hyperspectral APEX data for high resolution urban land-cover mapping

Despite the high richness of information content provided by airborne hyperspectral data, detailed urban land-cover mapping is still a challenging task. An important topic in hyperspectral remote sensing is the issue of high dimensionality, which is commonly addressed by dimensionality reduction techniques. While many studies focus on methodological developments in data reduction, less attention is paid to the assessment of the proposed methods in detailed urban hyperspectral land-cover mapping, using state-of-the-art image classification approaches. In this study we evaluate the potential of two unsupervised data reduction techniques, the Autoassociative Neural Network (AANN) and the BandClust method – the first a transformation based approach, the second a feature-selection based approach – for mapping of urban land cover at a high level of thematic detail, using an APEX 288-band hyperspectral dataset. Both methods were tested in combination with four state-of-the-art machine learning classifiers: Random Forest (RF), AdaBoost (ADB), the multiple layer perceptron (MLP), and support vector machines (SVM). When used in combination with a strong learner (MLP, SVM) BandClust produces classification accuracies similar to or higher than obtained with the full dataset, demonstrating the method’s capability of preserving critical spectral information, required for the classifier to successfully distinguish between the 22 urban land-cover classes defined in this study. In the AANN data reduction process, on the other hand, important spectral information seems to be compromised or lost, resulting in lower accuracies for three of the four classifiers tested. Detailed analysis of accuracies at class level confirms the superiority of the SVM/Bandclust combination for accurate urban land-cover mapping using a reduced hyperspectral dataset. This study also demonstrates the potential of the new APEX sensor data for detailed mapping of land cover in spatially and spectrally complex urban areas.     

王坡井田煤层气井部署方法研究

王坡煤矿是高瓦斯矿井,已有的井下瓦斯抽排不能满足矿井安全生产的要求,迫切需要通过地面抽采来缓解。在已有地质成果基础上,采用煤层气藏数值模拟方法,对王坡井田地面煤层气抽采工程部署方案进行优化。结果表明:A区块是井田煤层气开发试验首选区,以梅花形井网作为试验井网,井间距300m×250m,井网长轴方向60°。这种布井方式在工程实践中取得了较好效果,具有较大的推广价值。     

应用响应曲面法优化凯氏定氮法的消解条件

经典凯氏定氮法是通过观察消解反应现象来控制温度和时间,对于数量较多的样品同时消解会耗费大量的人力及时间,因此需要采用合理的试验设计方法确定最佳消解温度和时间,以实现批量消解样品,提高分析效率。本文利用响应曲面法对凯氏定氮法中的消解条件进行了优化分析,选择料液比、消解温度和消解时间作为优化因素,研究三因素的不同水平对氮含量测定的影响。通过响应曲面分析得到最优的消解条件为:料液比(g/mL)=0.3∶5,消解温度260℃,消解时间60 min。重复实验结果表明,样品在优化的条件下能够很好地消解,重现性较好;标准物质的氮含量的实验测定值(1310×10-6)与标准值(1300×10-6)基本一致,两者的对数误差绝对值为0.003,方法的准确性高。应用响应曲面试验设计方法,对于评价凯氏定氮法中三个消解条件对氮含量的非线性影响起到了很好的优选作用,能更好地预测实验因素对分析结果的影响趋势,可以准确控制消解温度和消解时间,对于提高分析效率具有实用意义。     

四川三江北段地区金及多金属成矿规律及靶区优选

四川三江北段地区位于我国十九个重点成矿区带之一的西南三江成矿带中东部,区内多种类型的沉积建造、频繁的火山-岩浆活动以及复杂的地质构造背景,产出了丰富的有色金属、贵金属矿产资源,本次通过DPIS预测,在区内圈定金找矿靶区6处,分别为：甘孜县找矿靶区、卓达找矿靶区、根洛找矿靶区、沙马找矿靶区、拉波找矿靶区、水洛找矿靶区。下步应有针对性的加强对6处金找矿靶区的研究、勘查工作,在区内有发现金及多金属矿床的可能。