减少DDN设备中断恢复时间的探讨

在无线移动场合下，DDN中继信道的中断比固定场合下频繁得多，DDN设备中断恢复时间长的问题就变得突出起来，这使得DDN电路的可用性远小于DDN中继信道的可用性。本文基于航天测控通信系统使用的DDN设备，分析了DDN设备中断恢复时间长的原因，提出了减少DDN设备中断恢复时间的方法。     

日语音读汉字与汉语汉字之对比研究

通过对日语汉字音读和汉语中古音进行比较，发现日语汉字音读与汉语中古音有强烈的对应关系。其中“声假名”和中古音声母的对应比较整齐：あ段全部对应喉音影、余二母；か段全部对应牙音见、溪、群、疑和喉音晓、匣六母……“韵假名”与汉语中古音十六摄也有不如“声假名”强烈但依然很明显的对应关系，如果、假二摄对应あ段“韵假名”；止、蟹二摄对应ぃ段“韵假名”；通、江、效、宕、流摄对应ぅ段“韵假名”。     

论社会主义市场经济条件下的按劳分配

我国现阶段实行的按唠分配不是马克思原意的按劳分配，而是按社会必要劳动时间分配，是按劳分配原则在社会主义市场经济条件下的转化形式。按社会必要劳动时间分配的实质是按生产要素分配。     

频率计“时间间隔”参数自动校准的方法研究

主要介绍了利用新研制的通用仪器综合校准系统 ,在实现频率计类仪器“时间间隔”参数自动校准时 ,对相关仪器连接、校准方法以及软件设计等问题 ,提出了一种间接测量单线时间间隔的方法。     

时频测量的新技术——相位重合点检测技术

近年来相位重合点检测技术和周期性信号参数测量各种高精度的方法在国内外得到了广泛应用。对这种新技术的基本原理、所派生的频率、周期、相位差和时间间隔测量方法作了介绍。这些新方法测量精度高,测量频率范围宽,设备构成比较简单,在时频测量领域将获得越来越广泛的应用,可能逐渐取代已有的某些测量技术,并可在其它量测量领域获得推广。     

Abnormal changes of dynamic derivatives at low reduced frequencies

A number of studies have found that abnormal changes of dynamic derivatives occurred at very low reduced frequencies, but its inducement mechanism is not very clear. This paper has researched the abnormal changes and analyzed the influence on some parameters by solving the unsteady flow around forced oscillation airfoils based on Navier-Stokes equations. Results indicate that when the reduced frequency approaches to zero, the dynamic derivatives obtained by the numerical method will diverge. We have also proven it in theory that this phenomenon is not physical but completely caused by numerical singularity. Furthermore, the abnormal phenomenon can be effectively mitigated by using the time spectral method to solve the aerodynamic forces and the integral method to obtain the dynamic derivatives. When the reduced frequency is in the range of 0.001–0.01, the dynamic derivative maintains nearly unchanged for the whole speed region. This study can provide a reference for the reasonable choice of the reduced frequency in calculations and experiments of dynamic derivatives.     

Data reduction and correction algorithm for digital real-time processing of cosmic ray measurements: NM64 monitoring at Dourbes

We present a data correction algorithm for real-time data processing for the NM64 galactic cosmic ray neutron monitor at the Royal Meteorological Institute (RMI) in Dourbes, Belgium. The correction is based on three main tests: a continuity test, tube ratios test and a derivative test. The continuity test works as a high pass filter with a threshold based on the entire recorded dataset. Additionally, it monitors whether the logging takes place at regular intervals (continuously). The ratios test identifies noisy sections and the final derivative test criterion will identify single or double spikes by testing them against the median increase of the intensities. Using these criteria, all data from the cosmic ray station at Dourbes is corrected in real time. Test results have been compared with data from verified neutron monitor stations with a similar geomagnetic cutoff rigidity.     

基于模型的装备维修性设计控制技术

伴随数字化设计方法日趋成熟,飞机装备维修性设计面临如何与三维数字化设计环境下功能性能设计同步的难题。对比分析了数字化环境维修性设计与传统维修性设计的主要差别,提出了基于飞机装备数字化设计环境维修性设计流程,研究了维修性设计参数的表达模型以及维修性参数信息在三维设计数字环境中的转化、集成与利用方式。基于图论和网络节点框图,提出了一种以节点网络图、单节点维修时间模型、维修过程时间模型为表征的飞机装备维修性设计与控制方法。经实例验证,提出的这套基于数字模型的维修性设计技术,对装备在数字化设计环境下同步开展维修性设计具有一定的工程指导价值。     

Median filtering algorithms for multichannel detectors

Particle detectors of worldwide networks are continuously measuring various secondary particle fluxes incident on Earth surface. At the Aragats Space Environmental Center (ASEC), the data of 12 cosmic ray particle detectors with a total of ∼280 measuring channels (count rates of electrons, muons and neutrons channels) are sent each minute via wireless bridges to a MySQL database. These time series are used for the different tasks of off-line physical analysis and for online forewarning services. Usually long time series contain several types of errors (gaps due to failures of high or low voltage power supply, spurious spikes due to radio interferences, abrupt changes of mean values of several channels or/and slowly trends in mean values due to aging of electronics components, etc.). To avoid erroneous physical inference and false alarms of alerting systems we introduce offline and online filters to “purify” multiple time-series. In the presented paper we classify possible mistakes in time series and introduce median filtering algorithms for online and off-line “purification” of multiple time-series.