基于多元时间序列融合的飞行动作识别方法

针对飞行动作数据随机性强与长度不一致的问题,提出通过减小动态时间规整(DTW)算法的搜索空间,并定义不同特征参数贡献度的概念,实现对飞行数据的多元时间序列融合,从而完成对战术机动动作的识别。通过引入预分类和细分类结合的方式,对动作数据进行预处理,然后根据改进的动态时间规整(WDTW)算法对待测数据进行识别。仿真实验表明,相比传统DTW算法,WDTW算法通过降低算法复杂度,识别计算时间变化明显;对核密度与精准度系数的分析表明识别准确率亦有所提高。实验结果验证了所提方法的准确性。     

序列模式挖掘的两种典型算法及比较

序列模式挖掘是数据挖掘的重要分支,GSP算法与PSP算法是序列模式挖掘中的两种典型算法。本文介绍了这两种算法并对其进行了分析与比较。     

A NEW DESCRIPA NEW DESCRIPTOR OF AMINO ACIDS BASED ON THE THREEDIMENSIONAL VECTOR OF ATOMIC INTERACTION FIELD

QUANTITATIVE STRUCTURE ACTIVITY RELATIONSHIP (QSAR) IS A VERY IMPORTANT TOPIC FOR MANY SCIENTIFIC FIELDS AND CAN BE TERMED AS QUANTITATIVE SEQUENCE ACTIVITY MODELS(QSAM)[1] WHEN REFERRED TO THE RESEARCH ON RELATION- SHIPS BETWEEN STRUCTURES AND ACTIVITIES OF BIOLOGICAL MOLECULES, SUCH AS PROTEINS, AND NUCLEIC ACIDS. HOW- EVER, IT IS VERY DIFFICULT TO ESTABLISH A QSAM MODEL,…     

Finding finer functions for partially characterized proteins by protein-protein interaction networks

Based on high-throughput data, numerous algorithms have been designed to find functions of novel proteins. However, the effectiveness of such algorithms is currently limited by some fundamental factors, including (1) the low a-priori probability of novel proteins participating in a detailed function; (2) the huge false data present in high-throughput datasets; (3) the incomplete data coverage of functional classes; (4) the abundant but heterogeneous negative samples for training the algorithms; and (5) the lack of detailed functional knowledge for training algorithms. Here, for partially characterized proteins, we suggest an approach to finding their finer functions based on protein interaction sub-networks or gene expression patterns, defined in function-specific subspaces. The proposed approach can lessen the above-mentioned problems by properly defining the prediction range and functionally filtering the noisy data, and thus can efficiently find proteins’ novel functions. For thousands of yeast and human proteins partially characterized, it is able to reliably find their finer functions (e.g., the translational functions) with more than 90% precision. The predicted finer functions are highly valuable both for guiding the follow-up wet-lab validation and for providing the necessary data for training algorithms to learn other proteins.     

层次分析法的两处缺陷改进及实例

层次分析方法在定性与定量的评判中,有较广泛地运用。在运用的过程中,发现其存在两处缺陷有待改进。其一为准则层的因素设置过于宽泛,通过其直接评判的权重存在较大的主观误差;其二为专家评判值为一定值,与实际为区间值不相符。基于此,文章提出通过第三层因素判断矩阵,来间接求取准则层各因素的权重;引入三时估算法,改进原有专家评判法,同时对三时估算值误差对权值误差以及最终评判值误差的影响作了一定程度分析。     

The controlling factors and distribution prediction of H2S formation in marine carbonate gas reservoir, China

Generally, there are some anhydrites in carbonate reservoir, as H2S is also familiar in carbonate oil and gas reservoirs. Nowadays, natural gas with high H2S concentration is usually considered as TSR origin, so there is close relationship between H2S and anhydrite. On the contrary, some carbonate rocks with anhydrite do not contain H2S. Recently, researches show that H2S is only a necessary condition of H2S formation. The reservoir porosity, sulfate ion content within formation water, reservoir temperature, oil/gas and water interface, hydrocarbon and some elements of reservoir rock have great controlling effects on the TSR occurrence. TSR deoxidizes hydrocarbon into the acidic gas such as H2S and CO2, and the H2S formation is controlled by TSR occurrence, so the relationship among reaction room, the contact chance of sulfate ion and hydrocarbon, the reservoir temperature has great influence on the TSR reaction. H2S has relatively active chemical quality, so it is still controlled by the content of heavy metal ion. Good conditions of TSR reaction and H2S preservation are the prerequisite of H2S distribu- tion prediction. This paper builds a predictive model based on the characteristic of natural gas reservoir with high H2S-bearing. In the porosity reservoir with anhydrite, the formation water is rich in sulfate and poor in heavy metal ion. Oil and gas fill and accumulate in the gas reservoir with good preservation conditions, and they suffered high temperature later, which indicates the profitable area of natural gas with high H2S-bearing.     

一类特殊的有限群

研究了有限群部分元素乘积的问题,讨论了在有限群中存在的一类特殊群—超P-群,证明了所有的有限循环群是超P-群,并给出了一个21阶的有限非Abelian群是超P-群.     

时域中系统鲁棒稳定性的定量计算

本文定量地考虑了当系统参数受到干扰时的稳定性问题。目的为对以状态空间法表示的线性系统鲁棒稳定性的定量计算提出一个统一的结论。文中首先对摄动的分类及对用李亚普诺夫理论求解受扰系统鲁棒稳定性的历史结果进行了述评,进而对其摄动的允许界限的计算提出了新方法。实例表明所示结果较少保守性。     

一维周期和非周期体系的电子带谱及态密度

本文发展了一种重正化群方法,精确而系统地研究包含周期和非周期格子的一维体系的物理性质.该一体系的构造序列是选A、B两块并按膨胀规则{A、B}→{A~(m11)B~(m12),A~(m12)B~(m22)}排列成的.作为特例,计算了(M_(11),M_(12),M_(21),M_(22))=(1,1,1,0)(1,1,1,1)(1,2,1,1)和(2,1,1,1)几种一维格子的电子带谱和态密度,结果表明,较之其他方法,该方法具有系统性,而且分析结果与其他类似。     

理想非线性单组分色谱模型理论解与实验的比较

用气相色谱的分析方法研究了理想非线性单组分不同温度下的流出曲线，用＂特征点＂法回归出了各组分的物理常数Ｇ和ｂ，代入理论模型公式，并与实验结果进行子比较。