面向海洋探测的多源信息融合技术研究及展望

多源信息融合技术包括数据级、特征级和决策级3个层级。在海洋探测应用中,现有方法存在信息获取、融合质量及目标识别等难点问题,提出了体系化探测、分布式融合和利用先验知识的解决思路。体系化探测能够全面获取原始信息,分布式融合可以在降低计算复杂度的同时减少信息损失,先验知识能够在决策级融合中提高目标识别的准确性。此外,还提出了构建探测系统和先验知识库、优化智能算法和模型等未来信息融合技术发展方向。     

结合多体动力学先验知识与核方法的位标器性能预测技术

位标器的性能与特征参数之间存在着非常复杂的非线性映射关系,且由于装调工艺复杂,测量手段昂贵,位标器实际测量数据较少。如何在小数据的情况下实现对位标器性能的精确求解,是准确预测位标器装调性能的关键。提出一种结合陀螺动力学先验知识和核方法的位标器装配性能预测方法(A-LPSVR)。通过构建陀螺Adams动力学模型以缩小解空间范围。使用仿真性能值和真实装调性能值的差值训练支持向量回归模型,得到最终的位标器性能预测模型。实验结果表明该方法所构建的模型预测准确性与泛化性能要优于现有模型,能够在测量数据稀缺情况下实现位标器陀螺仪性能的精确预测。     

The acquisition of survey knowledge for local and global landmark configurations under time pressure

The influence of stress states on cognition is widely recognized. However, the manner in which stress affects survey knowledge acquisition is still unresolved. For the present study, we investigated whether survey knowledge acquisition during a stressful task (i.e., under time pressure) is more accurate for the mental representation of global or local landmarks. Participants navigated through virtual cities with a navigation aid and explicit learning instructions for different landmark configurations. Participants’ judgments of relative direction (JRDs) suggest that global landmark configurations were not represented more accurately than local landmark configurations and that survey knowledge acquisition was not impaired under time pressure. In contrast to prior findings, our results indicate the limitations of the utility of global landmarks for spatial knowledge acquisition.     

航空发动机滑油光谱专家系统知识库建立

从理论和实际应用两方面对滑油光谱分析故障诊断专家系统知识库的建立进行了较深入的研究和探讨。提出了知识库建立的方法,应用磨损元素浓度与浓度增长率模糊综合评判、模糊聚类的方法定量研究,结合专家经验,较好地解决了故障诊断准确度问题     

知识价值链与企业核心竞争力关系研究

如何塑造和培养企业的核心竞争力一直是企业界和学术界关心的问题.我们通过研究企业知识链与价值链之间的关系,给出了企业知识价值链的定义,揭示了企业知识价值链的本质特征,分析了知识价值链与企业核心竞争力的关系,提出了利用企业的知识价值链打造企业核心竞争力的新思路.     

An SOR Implicit Time-accurate Scheme in Calculating Unsteady Flows

A new time-accurate marching scheme for unsteady flow calculations is proposed in the present work. This method is the combination of classical Successive Over-Relaxation (SOR) iteration method and Jacobian matrix diagonally dominant splitting method of LUSGS. One advantage of this algorithm is the second-order accuracy because of no factorization error. Another advantage is the low computational cost because the Jacobian matrices and fluxes are only calculated once in each physical time step. And, the SOR algorithm has better convergence property than Gauss-Seidel. To investigate its accuracy and convergency, several unsteady flow computa- tional tests are carried out by using the proposed SOR algorithm. Roe’s FDS scheme is used to discritize the inviscid flux terms. Un- steady computational results of SOR are compared with the experiment results and those of Gauss-Seidel. Results reveal that the numerical results agree well with the experimental data and the second-order accuracy can be obtained as the Gauss-Seidel for unsteady flow computations. The impact of SOR factor is investigated for unsteady computations by using different SOR factors in this algorithm to simulate each computational test. Different numbers of inner iterations are needed to converge to the same criterion for different SOR factors and optimal choice of SOR factor can improve the computational efficiency greatly.     

PDM系统中权限管理方法的研究与应用

总结了PDM权限管理特点,重点讨论了PDM中权限的集合定义和用户权限判定的函数表示,在分析产品数据分类、企业用户组织模式和权限分类的基础上,提出了基于产品数据分类的权限管理模型,并给出了该模型的应用实例.该模型较好地协调了产品数据共享和保护两方面的需求,并且权限控制逻辑条理清楚,易于实现.     

PIC检测器解析表达式的偏差修正

由于传统PIC(Parallel Interference Canceller,并行干扰消除)检测器性能分析公式存在偏差,导致与仿真结果有一定的差异,不能准确反映系统性能。在对传统PIC检测器性能表达式和推导过程存在的偏差进行分析的基础上,通过公式推导,得到更为精确的PIC检测器任一级的误码率性能解析表达式。通过数值计算,偏差修正后的解析表达式对误码率估计的准确度比修正前提高了1个数量级,与仿真结果更为接近,并且干扰消除的级数越多效果越好。研究结果表明,修正后的PIC解析表达式是有效的。     

支持多种查询语言的演绎数据库系统

介绍并讨论了当前演绎数据库的理论基础及实现方法，提出了一种基于松、紧耦合相结合的实现机制；讨论了自行研制的演绎数据库系统ＤＡＣ中知识表示的两级模式，简单介绍了ＤＡＣ的总体结构及其功能模块、两种演绎查询语言，并给出了一种基于有向图的递归查询算法。     

高校图书馆知识服务模式研究

知识服务是图书情报领域适应知识经济社会发展需求的必然选择,也是高校图书馆服务方式与内容的拓展与深化。通过分析教育教学目标下用户的知识需求,提出构建出面向教育教学的高校图书馆知识服务模式。