Ion flux dropout observed near dipolarization front

An ion flux dropout near the dipolarization front （DF） at around XGSM =- 11 RE in the Earth＇ s plasma sheet was observed by Time History of Events and Macroscale Interaction during substorms （THEMIS） on March 31, 2009. The ion differential energy fluxes at energies from 450 eV to 150 keV measured by the ESA and SST instruments from THC began to decrease about 2 s before the detection of the DF and reached a local minimum 6 s later. Then, the ion fluxes gradually increased to form a dropout around the DF. The spatial extent of the dropout was about 4,000 km. For energies above 20 keV, the ion fluxes after the dropout are greater than those before it, contrary to the fluxes at energies below 20 keV. The associated ion density variation indicates that the ion flux dropout coincides with the ion density dropout. Taking advantage of multipoint observations, THD, THC, and THE detected the same DF consecutively. Only THC detected an obvious ion flux dropout; THD observed an indistinct one about 2 s before THC; no high-energy （E 〉 30 keV） ion flux dropout was observed by THE. Our study suggests that the ion flux dropout may evolve with the earthward-propagating DF, and its properties can depend on locations relative to the DF.     

Some open problems related to creative telescoping

Creative telescoping is the method of choice for obtaining information about definite sums or integrals. It has been intensively studied since the early 1990s, and can now be considered as a classical technique in computer algebra. At the same time, it is still a subject of ongoing research. This paper presents a selection of open problems in this context. The authors would be curious to hear about any substantial progress on any of these problems.     

The distributed representation for societal risk classification toward BBS posts

The risk classification of BBS posts is important to the evaluation of societal risk level within a period. Using the posts collected from Tianya forum as the data source, the authors adopted the societal risk indicators from socio psychology, and conduct document-level multiple societal risk classification of BBS posts. To effectively capture the semantics and word order of documents, a shallow neural network as Paragraph Vector is applied to realize the distributed vector representations of the posts in the vector space. Based on the document vectors, the authors apply one classification method KNN to identify the societal risk category of the posts. The experimental results reveal that paragraph vector in document-level societal risk classification achieves much faster training speed and at least 10% improvements of F-measures than Bag-of-Words. Furthermore, the performance of paragraph vector is also superior to edit distance and Lucene-based search method. The present work is the first attempt of combining document embedding method with socio psychology research results to public opinions area.     

太原市民营经济开发区地电场观测系统运行评测

详细介绍了太原市民营经济开发区地电场观测系统的运行情况,从数据的完整率和图形曲线变化等方面对仪器观测系统进行了全方位的综合评价,结果表明:该区地电场观测仪器系统运行平稳可靠,能够有效记录民营区范围内地电场的相关变化,为该区地震预测预报提供一定的依据。     

基于Hive的性能优化研究

主要从Map Reduce作业调度和Hive性能调优两个方面对Hive的性能优化进行研究.对于Map Reduce主要从编程模型切入,分析其执行过程,并从map端、reduce端进行参数调优.接着从Hive框架角度入手,分别从分区表和外部表以及常用数据文件的压缩、行式存储与列式存储等方面进行深入研究.实验结果表明,snappy压缩、orcfile/parquet存储格式对于列式查询,提高查询效率,对于大数据分析平台有较好的兼容性.     

New rapid transfer alignment method for SINS of airborne weapon systems

Transfer alignment is an effective alignment method for the strapdown inertial navigation system （SINS） of airborne weapon systems. The traditional transfer alignment methods for large misalignment angles alignment use nonlinear transfer align- ment models and incorporate nonlinear filtering. A rapid transfer alignment method with linear models and linear filtering for ar- bitrary misalignment angles is presented. Through the attitude quaternion decomposition, the purpose of transfer alignment is converted to estimate a constant quaternion. Employing special manipulations on measurement equation, velocity and attitude linear measurement equations are derived. Then the linear trans- fer alignment model for arbitrary misalignment angles is built. An adaptive Kalman filter is developed to handle modeling errors of the measurement noise statistics. Simulation results show feasibili- ty and effectiveness of the proposed method, which provides an alternative rapid transfer alignment method for airborne weapons.     

车用防松螺帽应用实验设计进行参数最佳化

在产品设计、制程开发、及制程改善的过程中,实验都扮演了重要的角色,需要知道影响产品性能(performance)的各种可能的原分显著因子以及了解各因子间是否有交互作用用,因子设计(factorial design)为最有效率之实验方法。经由筛选出会影响实验之因子,设因,而影响产品性能的因素称为因子(factor),藉此设计出合适的实验模型。不同的实验设计建立于不同的假设以及对于不同的因子有不同的敏感度,实验的假设或因子的敏感度在设计不佳时,则会使得实验结果及其推论变得模棱两可,好的实验设计(Design of Experiment,DOE)是要发展出一个稳健、受外来变异原因影响极小的实验模许多产品之设计,但各因子对产品性能影响所占之比重去不尽相同,为区帽产品经扭力测试与硬度测试证明其特性确实比原先防松螺帽要来得优越,相对提升产品的单价,增进厂商在国际的竞争力。目前螺丝螺螺帽朝高值化方向前进,无论在模具寿命、热处理制程、电镀技术、及产品验证上,皆须进行技术之改良及突破,以提升竞争力进入汽车供计成包含所有因子组合变化之实验,计算出各个因子之主效应、交互作用、以及对实验影响之贡献百分比,即可找出影响实验结果最重要之因素,作为产品改良之依据。本文利用实验设计之方法[1-3],应用于汽车防松螺帽,以螺帽成型高度(T)、硬度(H)、成型磅数(P)作为实验因子,进行三因子二水平之实验设计,找出影响实验结果最重要之因素,作为最佳化参数并回馈制程产品改良之依据。经过回馈之防松螺应链体系。