云南某氧化金矿石氰化浸出渣对金和银氰络合物的吸附

研究某褐铁矿型金矿石氰化浸出渣对银和金氰络合物的吸附过程.结果表明,随吸附时间延长,溶液中金络合物浓度降低,而银络合物浓度有所增加.浸出渣对金和银络合物的吸附特点不同,活性炭与浸出渣对金和银络合物的吸附特性也不同.浸出渣对被浸出的铜络合物也有一定的吸附作用,对滤液中的氧化钙有比较大的吸附作用,从而导致矿浆的pH下降.     

利用人工神经网络由静力触探推算液化指数

选取试验深度、粘粒含量、比贯人阻力和计算土层厚度为基本输入量，建立了一个推算液化指数的神经网络模型。以实际工程21组数据为学习样本，对工程中5个点进行了计算。计算结果表明，利用人工神经网络由静力触探推算液化指数是可行的。     

FAAD: an unsupervised fast and accurate anomaly detection method for a multi-dimensional sequence over data stream

Recently, sequence anomaly detection has been widely used in many fields. Sequence data in these fields are usually multi-dimensional over the data stream. It is a challenge to design an anomaly detection method for a multi-dimensional sequence over the data stream to satisfy the requirements of accuracy and high speed. It is because: (1) Redundant dimensions in sequence data and large state space lead to a poor ability for sequence modeling; (2) Anomaly detection cannot adapt to the high-speed nature of the data stream, especially when concept drift occurs, and it will reduce the detection rate. On one hand, most existing methods of sequence anomaly detection focus on the single-dimension sequence. On the other hand, some studies concerning multi-dimensional sequence concentrate mainly on the static database rather than the data stream. To improve the performance of anomaly detection for a multi-dimensional sequence over the data stream, we propose a novel unsupervised fast and accurate anomaly detection (FAAD) method which includes three algorithms. First, a method called “information calculation and minimum spanning tree cluster” is adopted to reduce redundant dimensions. Second, to speed up model construction and ensure the detection rate for the sequence over the data stream, we propose a method called “random sampling and subsequence partitioning based on the index probabilistic suffix tree.” Last, the method called “anomaly buffer based on model dynamic adjustment” dramatically reduces the effects of concept drift in the data stream. FAAD is implemented on the streaming platform Storm to detect multi-dimensional log audit data. Compared with the existing anomaly detection methods, FAAD has a good performance in detection rate and speed without being affected by concept drift.

     

梧州六堡茶中真菌多样性分析及真菌毒素残留量的测定

为研究六堡茶中真菌的多样性及真菌毒素残留量情况,验证其饮用安全性,该试验选取10批次不同年份、不同企业生产的梧州六堡茶样品进行研究,先提取样品的总DNA,再利用高通量测序技术进行ITS测序分析,然后采用QuEChERS（quick、easy、cheap、effective、rugged、safe）-超高效液相质谱联用方法测定样品中 16 种常见真菌毒素等残留量。研究结果表明,梧州六堡茶中真菌的优势菌为曲霉属（Aspergillus）、青霉属（Penicillium）,10个样品全部含有曲霉属,其平均相对含量为50.6%～99.9%,10个样品曲霉属平均相对含量86.4%;试验样品中真菌毒素残留量全部低于方法检出限。     

自行高炮射击精度综合补偿技术研究

为提高自行高炮射击精度,提出了提高高炮射击精度的综合补偿方法。基于武器系统组成,分析了影响自行高炮射击精度的主要因素及影响方式。在此基础上,结合火控闭环控制技术,根据火控解算误差相关性,建立误差综合补偿模型,利用火控解算前一时刻的误差特性,对后一时刻火控解算进行误差实时综合补偿,以提高射击精度。理论计算和试验数据分析表明,在不改变现有武器装备状态的情况下,该方法能提高自行高炮射击精度,验证了该方法的有效性。     

人文社会科学问题方式的创新

人文社会科学必须创新问题方式,才能实现真正的理论创新.人文社会科学的问题方式有自身的特点,设问方式必须注意现实性、多元化和直接性问题;应答方式必须注意跨学科、操作性和建设性问题.     

一种求解火箭防空武器毁歼概率的简便方法

为了解决火箭防空武器对空中目标的毁伤能力计算问题,提出一种求解火箭防空武器毁歼概率的简便方法。在假设仅有火箭防空武器破片战斗部毁伤能力参数和射击精度参数的情况下,根据高炮预制破片弹对空中目标的毁伤机理,通过建立火箭弹破片对空中目标的毁伤能力模型,并把火箭弹破片杀伤弹幕尺寸转化为目标在高低和方位方向的附加尺寸,计算对目标的命中概率,建立火箭防空武器对空中目标的毁歼概率模型。以某火箭防空武器为例,计算该武器对空中目标的毁歼概率,验证该方法的可行性。