基于主题模型的结构化Web服务发现机制

提出了基于主题模型(topic model)的结构化Web服务发现机制.利用LDA(Latent Dirichlet Allocation)生成概率模型,将Web服务(Web service)建模为结构化文本文档.一个文档视作主题的概率分布,主题又由关键词的概率分布组成,从而提供基于主题的Web服务检索.同时,利用Web服务的结构化特性,将Web服务描述文档表示为有向无环图,利用n阶谱核测量Web服务文档的相似度,实现Web服务结构化信息的发现.通过实验分析对比,基于主题模型的结构化Web服务发现机制有效提高了Web服务发现的效率和精确率.      

"引博从政"的经济学分析

运用诺贝尔经济学奖得主阿罗关于较高教育水平的甄选理论，从经济学的视角对“引博从政”现象进行分析，认为由于劳动力市场中存在不确定性和招聘方与应聘方之间信息的不对称，且招聘方获得应聘方相对准确的信息的成本较大，所以理性行为人为减少这些现象的发生，需要某种甄选手段。因此，“引博从政”就成为政府决策者在现实条件下的理性选择。     

成形态选区激光熔融Ti-6Al-4V钛合金缺陷与微观组织研究进展

选区激光熔融(Selective laser melting,SLM)近年来在钛合金制造领域应用广泛,然而,其性能受限于工艺缺陷和马氏体组织特征.综述了SLM技术下成形态Ti–6Al–4V合金的缺陷和微观组织研究进展,包括缺陷和微观组织类型、调节SLM工艺参数对减少缺陷和改善微观组织的作用以及基于变体选择的β→α相变研...     

扰动因子与结构信息在飞机选型中的应用

本文提出在飞机选型中利用结构信息,使合成排序更符合客观实际。文中还提出利用扰动因子改善判断矩阵一致性的方法,克服了调整判断矩阵时的盲目性。为满足飞机选型需要,编制了相应的软件。实践证明,扰动因子与结构信息的运用,对于解决层次分析法在飞机选型中应用的某些实际问题、为航空公司飞机选型提供可靠的科学依据是有益的。     

Sensor Optimization Selection Model Based on Testability Constraint

Sensor selection and optimization is one of the important parts in design for testability. To address the problems that the traditional sensor optimization selection model does not take the requirements of prognostics and health management especially fault prognostics for testability into account and does not consider the impacts of sensor actual attributes on fault detectability, a novel sensor optimization selection model is proposed. Firstly, a universal architecture for sensor selection and optimization is provided. Secondly, a new testability index named fault predictable rate is defined to describe fault prognostics requirements for testability. Thirdly, a sensor selection and optimization model for prognostics and health management is constructed, which takes sensor cost as objective function and the defined testability indexes as constraint conditions. Due to NP-hard property of the model, a generic algorithm is designed to obtain the optimal solution. At last, a case study is presented to demonstrate the sensor selection approach for a stable tracking servo platform. The application results and comparison analysis show the proposed model and algorithm are effective and feasible. This approach can be used to select sensors for prognostics and health management of any system.     

基于遗传粒子群算法的模拟电路测试点选择

针对模拟电路测试点选择的特点,提出利用遗传粒子群算法与整数编码故障字典相结合的方法进行测试点选择。首先根据各测试点的数据建立整数编码故障字典,然后利用遗传粒子群算法选取最优测试点。将该方法应用于实际模拟滤波器的测试点选择,结果表明：利用该方法很容易求出模拟电路的全局最优测试点。     

一种多运动模式下自适应阈值零速修正算法

传统基于微机电惯性测量单元（MEMS-IMU）的惯性导航系统（INS）引入零速修正（ZUPT）算法校正器件的累积误差。但由于ZUPT算法零速判定阈值为固定值,只适合单一运动模式,当室内行人运动轨迹包含多种运动模式时,定位精度下降。对此,提出了一种多运动模式下自适应阈值ZUPT算法。分析了室内行人包括静止、走、跑、上楼和下楼5种运动模式零速判定阈值的选取,实现了利用随机森林（RF）算法对5种运动模式的分类识别,并根据识别结果对ZUPT算法零速判定阈值进行自适应调整。为了验证本文算法的可行性和有效性,利用MATLAB软件平台对实测数据进行处理,并与传统定位算法进行了比较。3组实验结果表明,当室内行人运动轨迹包括多种运动模式时,相比传统固定阈值的ZUPT算法,引入自适应调整阈值的ZUPT算法可使定位算法的定位精度提高73.83%。      

A fast satellite selection algorithm with floating high cut-off elevation angle based on ADOP for instantaneous multi-GNSS single-frequency relative positioning

With the Global Navigation Satellite System (GNSS) developing, the single-frequency single-epoch multiple GNSSs (multi-GNSS) relative positioning has become feasible. Since a larger number of the observed satellites make the instantaneous (single-epoch) positioning time-consuming, a proper satellite selection is necessary. Among the present methods, the satellite selection with a fixed high cut-off elevation angle (CEA) is least time-consuming. However, there is no criterion how large a fixed high CEA should be to achieve a high success rate and less time consumption. Besides, a fixed high CEA makes the number of visible satellites largely variable, which affects the success rate. Hence, a satellite selection strategy based on ambiguity dilution of precision (ADOP) is proposed. Firstly, the theoretical proof that the ADOP increases the least when removing satellites are all low-elevation-angle satellites is given, which is important to achieve the fast positioning with a high success rate. Then, the threshold $\beta$ is calculated for a different number of satellites and a given ADOP. The satellites are selected based on their elevation angles from high to low until $\beta$ of the selected satellites becomes smaller than the corresponding threshold; this method is called the extended floating CEA multi-GNSS (EF-multi-GNSS). The comparison of the single-frequency single-epoch positioning performance of the EF-multi-GNSS with the satellite selections based on a fixed low CEA (L-multi-GNSS) and a fixed high CEA (H-multi-GNSS) via the relative positioning experiments shows that: (1) the EF-multi-GNSS with a minimal number of satellites can achieve the fast positioning and a high success rate close to 100%. It can greatly reduce the time consumption of the L-multi-GNSS, by about 64.0%, by selecting 12.6 satellites of 23.4 satellites; (2) the floating CEA of EF-multi-GNSS eliminates the consideration how large a fixed high CEA should be, and a CEA larger than the fixed high CEA of the H-multi-GNSS makes it more suitable for different conditions.     

卫星微波信标天线与地面站引导雷达圆锥扫描天线的极化失配分析

目标信号和雷达天线之间的极化失配,导致接收机输出的误差信号电压中除基波正规分量外,还包含基波交叉分量和二次谐波分量等,降低了测角精度。通过对线极化目标信号和椭圆极化雷达天线匹配情况的分析和计算,获得了有关的公式和曲线。还对椭圆极化目标信号和椭圆极化雷达天线情况作了阐述。公式和曲线可作为选定卫星天线或地面站雷达天线椭圆极化率的参考依据。     

基于Hausdorff距离的反舰导弹目标选择方法

如何从舰艇编队中选择预定目标,是超视距反舰导弹亟待解决的一个问题。文章基于Hausdorff距离的部分匹配理论研究了这一问题。火控雷达探测到的编队信息和末制导雷达探测到的编队信息都用点集来描述,通过点集形状匹配获取这两个点集的对应点,从而实现对预定目标的选择。重点提出了一种新的部分匹配途径,能够自适应地逐个剔除引起形状不相似的外部点而同时保留两个形状的相似部分。仿真试验表明,相比以往基于编队相互位置关系的方法,论文所研究的预定目标选择方法具有更好的抗干扰能力。