构建我国法院附设调解制度的理论设想

法院调解制度作为我国民事诉讼中的一项特有制度,在实践中对于及时解决民事纠纷、妥善处理人民内部矛盾、维护社会稳定发挥着积极的作用。但是,随着民事审判方式的改革及群众法治观念的逐渐增强,法院调解制度也显现出诸多的局限性和弊端,严重影响了其积极作用的发挥。以改革现行法院调解制度为契机,构建我国的法院附设调解制度,对于社会的稳定与和谐有着巨大的法律价值和现实意义。     

大港歧北斜坡三维地震深层目标精细处理及地质效果分析

歧北斜坡深层沙二、沙三段发育沿岸滩坝、辫状河水道及斜坡扇沉积体系。储层总体比较发育,但是横向变化大,单层厚度薄。现有地震资料横、纵向上地震分辨率低,无法满足砂体追踪和精细储层预测的要求。通过运用叠前反褶积、静校正、能量调整、叠后提高分辨率等技术,并实施处理解释一体化工作模式,处理质量过程控制等方法,使处理成果地震资料在保持地层波组特征不变的情况下,纵横向分辨率有了较大程度的提高,成像特征有了较大幅度的改善,基本上满足了地质需求。利用新处理的资料,通过井震结合,储层地球物理特征分析,在常规波阻抗反演的基础上,利用拟波阻抗反演的方法预测了沙二、三段各油组砂体的空间展布规律。取得了较好的地质效果。     

高效宽带数字信道化单比特接收机

针对电子战接收机的高效实现结构及高性能指标要求,提出了一种数字信道化单比特接收机方案.从传统STFT算法结构出发,推导出基于WOLA滤波器组的宽带数字信道化接收机高效结构,利用抽取倍数与信道数目无约束关系,在无需数据内插条件下,将单比特接收技术应用于该结构中,克服了宽带单比特接收机动态范围低和信道化接收机频率分辨率有限的缺点.仿真结果表明,该方案提高了信道化接收机的频率分辨率,且硬件实现效率高,运算复杂度低,瞬时动态范围取决于滤波器形状,能够满足电子战的实时性要求.     

Penumbral imaging and numerical evaluation of large area source neutron imaging system

The fusion neutron penumbral imaging system Monte Carlo model was established. The transfer functions of the two discrete units in the neutron source were obtained in two situations: Imaging in geometrical near-optical and real situation. The spatial resolutions of the imaging system in two situations were evaluated and compared. The penumbral images of four units in the source were obtained by means of 2-dimensional (2D) convolution and Monte Carlo simulation. The penumbral images were reconstructed with the same method of filter. The same results were confirmed. The encoding essence of penumbral imaging was revealed. With MCNP(Monte Carlo N-particle) simulation, the neutron penumbral images of the large area source (200 μm×200 μm) on scintillation fiber array were obtained. The improved Wiener filter method was used to reconstruct the penumbral image and the source image was obtained. The results agree with the preset neutron source image. The feasibility of the neutron imaging system was verified. Supported by the NSAF Joint Fund set up by NSFC and CAEP (Grant No. 10576022)     

高精度磁测在圈定旅游开发区中的应用

随着新测量方法的开发和利用,以及新的数据处理和资料解释技术[1]的提高,使得高精度磁法勘探的应用范围越来越广,本文利用磁异常研究岩脉的赋存状态[2],确定了溶洞存在的范围,为圈定旅游开发区提供了重要依据。     

一种面向软件产品概念设计的CSCW模型

随着计算机和网络技术的发展,各种CSCW模型和技术先后被提出,来满足各行业产品和概念设计的复杂工作需求。软件产品的概念设计作为一项复杂的工作和业务流程,对CSCW系统的需求也越来越高。文中针对软件产品概念设计的特殊性质,提出一种新的CSCW软件产品概念设计模型,并且对其中包含的冲突检测和协调机制进行了详细的设计和优化。使用基于Java平台的相关技术对模型主要功能架构和冲突协调过程进行了仿真。实验表明,文中提出的模型具有更加简洁和高效的复杂冲突解决能力和用户交互能力。     

Biologically adaptive robust mean shift algorithm with Cauchy predator-prey BBO and space variant resolution for unmanned helicopter formation

Visual tracking technology can provide measurement information for unmanned helicopter formation and thus, more attention is being paid to this research area. We propose a novel mean shift （MS） algorithm that is both adaptive and robust for unmanned helicopter formation and apply it to the leading unmanned helicopter tracking. The movement of an unmanned helicopter is very flexible and changeable, which makes the tracking there of more difficulty than for common targets. In creating an algorithm that can adapt to the acceleration of the unmanned helicopter and estimates both the scale and orientation of the movement changes, we combine the traditional MS with the bio-inspired Cauchy predator-prey biogeography-based optimization （CPPBBO） evolutionary algorithm, and also the space variant resolution （SVR） mechanism of the human visual system （MS-CPPBBO-SVR）. To demonstrate the effectiveness and robustness of the proposed method and justify the importance of the CPPBBO algorithm and SVR mechanism at the same time, a series of comparative exper- iments were carried out. The experimental results of the proposed MS-CPPBBO-SVR method are compared with other competitive tracking methods, such as MS, MS with SVR （MS-SVR）, MS-SVR with several other optimization algorithms, and the robust particle filter algorithm. The experimental results demonstrate that our proposed tracking approach, MS-CPPBBO-SVR, is more adaptive, robust and efficient in target tracking than the other methods.     

一种新的InSAR基线估计方法

针对InSAR技术中基线估计误差对DEM精度的影响,从传统的基线估计方法入手,提出了一种新的估计基线参数的方法,并用仿真实验做了论证.结果表明,该方法比以往传统的方法得到的基线参数的精度更高,运算速度更快,应用范围更加广泛.     

民航领域突发事件的实体链接方法

实体链接的相关研究主要集中于医疗、生物和新闻领域,但在民航领域的研究较少。因此针对民航领域实体链接任务进行了研究,发现在实体链接中存在实体变体多、歧义少等问题。为解决上述问题,提出了一种基于语义推断的实体链接框架以及一种用于增强框架鲁棒性的负采样策略。在民航领域数据集上进行了对比实验,结果表明所提框架链接效果优于现有基准框架,并通过消融实验,验证了负采样策略的有效性。在负采样策略的作用下,该实体链接框架的Acc@top1高达0.875。     

基于深度网络的出租车Pick-up需求预测

在智慧城市建设中,区域的出租车需求预测是一个十分重要的模块。为了预测指定区域未来时刻的出租车需求,本文通过拓展已有序列模型,提出一个多时间分辨率的基于层次注意力机制的循环高速网络（Multi-Time Resolution Hierarchical Attention-Based Recurrent Highway Networks, MTR-HRHN）。MTR-HRHN将对外生数据时空特征的提取和目标数据的时空建模整合到单个框架中,并且通过多分辨率（例如每个小时或者每天）对序列数据不同的时间属性建模,从而捕获更全面的时间模式。最后,在纽约市出租车数据集上评估MTR-HRHN的预测性能。实验结果表明,与其他经典时间序列预测方法相比,MTR-HRHN在多个高需求区域的短期需求预测上表现出更好的预测性能。