A new interpretation of the historical records of observing Venus in daytime with naked eye: Focusing on the meteorological factors in the astronomical observation records

Observing Venus during the daytime is challenging. However, observational data of Venus during the daytime can be found in history books from East Asian countries such as Korea, China and Japan. In this study, we are focused on data from Korean history book, and using records left in the Joseon wangjo sillok, one of the Korean history books from the Joseon dynasty (CE 1392–1910), tries to prove whether the reported observations were actual observation data. We collected these 4663 records from the Joseon wangjo sillok to determine whether they were actual observations, and to confirm the scientific validity of the records. When we looked at the distribution of observations on a yearly basis, we noticed that there were more observations in the fall and winter, while there were only limited numbers of observations in the spring. This difference in distribution suggests that observations were strongly affected by atmospheric conditions due to the weather. From the 4663 data collected, we found a cycle of about 1.6?years. The cycle of about 1.6?years is assumed to be related to the conjunction cycle of Venus. And, we found a cycle of about 1.0?years. The cycle of about 1.0?years is assumed to reflect the indirect effects of the Asian dust phenomenon. Our research result verified the record as actual observational data. In addition, this result verified that meteorological factors were involved in the recorded astronomical observation data. We think that our data can be helpful to climate studies on the natural sources of key climate-affecting aerosols.     

应用聚类分析对关联规则进行分组

关联规则是要从大量的数据中找到数据之间的规律，但有时所产生的规律十分繁多，从而形成新的知识管理问题。针对该问题本文提出了一个新的算法，该算法利用系统聚类分析方法对规则进行分组，从而可更好地帮助用户解所发现的规律，该方法的距离（RatioD）是基于关联规则本身，因此，可对规则进行高效地分组。实验结果表明，该算法是有效的。     

太阳微波爆发频谱事件

国家天文台1.0-2.0GHz,2.6-3.8GHz太阳射电频谱仪从1994年1月和1996年9月投入观测至2000年4月10日记录到太阳射电爆发分别为297个和316个，取得了高质量的高时间分辨率，高频率分辨率的动态谱资料，为研究耀斑各种尺度的时间及空间演化过程提供了丰富的信息，1998年4月15日的共同事件在时间和频率上显示了丰富的幅度和结构的变化。     

Online scheduling of distributed Earth observation satellite system under rigid communication constraints

This paper focused on online scheduling of distributed Earth observation satellite system in a dynamic environment. The objective was to maximize the total profit of the overall system by efficiently coordinating the different satellites with stochastic arrival of urgent tasks, subject to rigid communication and observation time window constraints. We formulated this problem as a single-task, single-robot, time-extended assignment problem with intra-schedule dependency using the multi-robot task assignment taxonomy and formulated the sub-problem after releasing urgent tasks in a mixed-integer linear programming model. We first described the online scheduling algorithm for a single satellite, then we proposed the modified consensus-based bundle algorithm (m-CBBA) and modified asynchronous consensus-based bundle algorithm (m-ACBBA) with synchronous and asynchronous communication, respectively. Compared with initial versions of CBBA and ACBBA, the modified versions added the communication loop prediction phases to efficiently utilize scarce communication opportunities and reduce the communication requirements. Additionally, we introduce two contract net protocol (CNP)-based algorithms for comparison, respectively SingleItem-CNP-based (SI-CNP) algorithm and Batch-CNP-based (BA-CNP) algorithm. Computational experiments indicated that both the total profit and percentage of scheduled urgent tasks achieved by the m-ACBBA and m-CBBA algorithms were much higher than those achieved by both SI-CNP and BA-CNP. Additionally, the number of communications needed by either m-ACBBA or m-CBBA algorithm was lower than that by SI-CNP. When the communication cost in the system is high, the m-CBBA algorithm is preferred because it balances the profit and the required number of communications. When the communication cost is low, the m-ACBBA algorithm is preferred because it achieves high total profit and high percentage of scheduled urgent tasks.     

基于PTE的多雷达航迹融合算法

针对杂波背景下的多雷达航迹融合时局部估计误差互协方差矩阵未知的问题,提出基于目标存在概率（PTE）的航迹融合算法,提升了正确航迹率和跟踪精度。首先,通过综合概率数据关联得到单接收站的目标航迹估计集合和对应的目标存在概率。然后,在局部估计误差互协方差矩阵未知的条件下,基于PTE信息提出不带记忆的综合广义凸组合航迹融合算法。进而将前一帧的融合状态进行反馈,提出带记忆的综合广义凸组合航迹融合算法。仿真验证了所提算法的有效性。     

多频GNSS电离层折射误差修正方法CSCD

针对电离层折射误差较大的特点,分别对GPS(Global Positioning System)和BDS(Bei Dou Navigation Satellite System)的单一频率的电离层折射误差进行了分析,并将不同频率进行线性组合,计算出组合后的电离层折射误差。此方法修正了双频一阶项、三频一阶项和三频二阶项电离层折射误差。由于电离层延迟修正的同时会放大观测噪声,为此分析比较了不同频率组合修正后的观测噪声,为最佳频率组合的选取提供了理论方法。     

基于浮标平台的反舰导弹过靶实况观测系统研究

根据弹靶遭遇实况观测领域存在的问题,提出了一种基于便携式小型浮标平台的过靶实况观测系统,设计了系统总体方案,阐述了系统工作模式,分析了系统观测能力,并对其关键技术进行了论证研究。     

基于WebGIS的卫星观测计划编制系统

用户在制定卫星观测计划时,需要知道卫星的星下点位置以及遥感器对地扫描区域的信息。通常这些信息是以数值描述的形式发给用户的,不够直观。本文介绍了一种基于WebGIS的卫星观测计划编制系统,介绍了WebGIS在计划编制系统中的应用,并从系统设计、功能、利用WebGIS进行计划策略判断方案等方面进行了深入讨论。     

空间邻近目标跟踪与航迹关联的联合优化算法

针对单传感器跟踪空间邻近目标过程中存在航迹交错的问题,提出一种基于分布式多传感器融合结构的跟踪与航迹关联联合优化算法.该算法在单帧航迹全局最优航迹关联的基础上,通过航迹关联质量检测传感器航迹是否存在交错,然后构造交错航迹对的拟测量,并根据拟测量误差协方差计算融合“测量”,最后由融合中心对融合“测量”进行全局最优点迹-航迹互联和交互多模型(IMM)滤波更新融合航迹.考虑分布式融合系统约束情况,给出采用次优拟测量的替代方法.仿真结果表明,与传统航迹关联算法相比,联合优化算法能够明显提高目标跟踪精度和身份正确率.     

基于视觉注意机制的认知雷达数据关联算法

针对传统关联波门设计方法在应用于机动目标跟踪时容易引起失跟、以及概率数据关联算法不适于多交叉目标跟踪的问题,提出了一种基于人类视觉选择性注意机制和知觉客体的"特征整合"理论的认知雷达数据关联算法。算法以综合交互式多模型概率数据关联算法为基础,采取假设目标最大机动水平已知的"当前"统计模型和匀速运动模型作为模型集,通过实时交互使关联波门能够随目标机动动态调整,较好地兼顾了雷达计算耗时和跟踪成功率。在利用目标位置特征的基础上,进一步提取、整合目标运动特征,对关联波门交叉区域公共量测进行分类,使多交叉目标跟踪问题转化为多个单目标跟踪问题,优化了传统概率数据关联算法。仿真结果表明：与传统关联波门设计方法相比,算法跟踪失败率和计算耗时明显降低;而且在计算资源增加不大的情况下,杂波环境适应性也得到了显著增强。