发动机生产加工中质量控制界限的优化

以两类错误损失费用最小为目标,对现行发动机零组件加工质量控制中以x±3σ作为控制图控制界限的方法进行了改进,建立了确定最佳控制界限(Kσ)的数学模型与最优控制界限(K)的算式。通过实例对优化结果和现行“x±3σ”方法的结果进行了比较和分析,进一步说明了该方法的优越性。     

数据传输卡插拔互换性技术探讨

介绍了数据传输卡(DTC)插拔互换性技术有关的几个问题。在产品有使用延续性要求的限制下,在不提高原零部件制造精度和不改变原装配方式的条件下,提出了按照模拟量传递原则而建立的标准体系——装配检验对合平台,并以此在生产中实施,满足了产品使用互换性要求。同时提出了一种新型弹顶组件的设计,使弹顶位置更合理,弹顶更可靠,从而进一步提高了产品插拔可靠性。     

新一代飞控计算机余度构型

飞控计算机广泛采用容错技术达到高可靠性指标,随着可靠性要求的日益提高,必须引入新的容错结构以及余度构型。本文结合析一代飞控计算机对高可靠性、强实时性的要求,对比目前飞控计算机的容错结构以及余度构型,提出了三种三余度构型方案,并对其故障模式进行了分析。在此基础上针对三种方案之一介绍了一种分组优先级剥夺调度算法,给出了详细说明。最后对比了这三种新的三余度方案的优缺点,为容错飞控计算机的发展提供了构型、算法的参考。     

突出高职学生能力培养的语文教学改革研究

高职语文教学改革坚持“与专业相对接、以就业为导向、以能力为本位、以学生为中心、以教师为关键”等重要理念．是高职语文教学适应职业教育发展的需求，是高职语文教学服务于高职教育“高素质、高技术技能型”的总目标的重要体现，也是突出高职语文学生能力培养本位，摆脱高职语文被边缘化的基本途径。只有这样，才能真正发挥出高职语文学科的人文性和工具性特点。     

基于迭加趋势的航线季节客运需求分析方法

针对航线季节客运需求的特点,提出了基于迭加趋势的航线季节客运需求分析方法,其基本思想是:根据航线季节客运量历史数据,构建航线季节客运量趋势变动模型,通过OLS方法估计直线趋势方程参数,进一步考虑季节变化对客运需求的影响,建立航线季节客运需求分析模型。仿真结果表明该方法可行且结果具有较高的精度,可作为分析航线季节客运需求的有效工具。     

口语大赛背景下的高职英语口语教学现状调查研究

通过问卷调查与访谈的方式对口语大赛背景下的高职英语口语教学现状进行调合研究．及时分析从口语大赛中反映出来的高职英语口语教学问题：如传统英语学习文化的负面影响、口语课时严重不足、优秀口语教材欠缺、高素质英语口语教师缺乏、学生心珲素质欠佳、口语教学机制不健全等。针对以上问题积极探索相应的对策与措施，以期更好地发挥口语大赛对高职英语口语教学的启示与导向作用．从而更有效地提高学生英语口语表达能力。     

Dynamics of air transport networks: A review from a complex systems perspective

Air transport systems are highly dynamic at temporal scales from minutes to years. This dynamic behavior not only characterizes the evolution of the system but also affect the system's functioning. Understanding the evolutionary mechanisms is thus fundamental in order to better design optimal air transport networks that benefits companies, passengers and the environment. In this review, we briefly present and discuss the state-of-the-art on time-evolving air transport net-works. We distinguish the structural analysis of sequences of network snapshots, ideal for long-term network evolution (e.g. annual evolution), and temporal paths, preferred for short-term dynamics (e.g. hourly evolution). We emphasize that most previous research focused on the first modeling approach (i.e. long-term) whereas only a few studies look at high-resolution temporal paths. We conclude the review highlighting that much research remains to be done, both to apply already available methods and to develop new measures for temporal paths on air transport networks. In particular, we identify that the study of delays, network resilience and optimization of resources (aircraft and crew) are critical topics.     

Temporal evolution analysis of storm-enhanced density during an intense magnetic storm on March 2015

An intense Storm Enhancement Density (SED) event with the magnetic storm occurred on 17–24 March 2015 has been investigated. The morphological character of the SED during different phase of the magnetic storm is examined and compared with the non-storm time. Three intensity indexes, i.e., “general” SED index, “heavy” SED index and “severe” SED index, are defined to represent the intensity of SED respectively represented by the numbers of the ionospheric total electron content (TEC) grids with TEC > 60 TECu, TEC > 80 TECu and TEC > 100 TECu. The temporal evolution of the SED intensity indexes during a time span covering the non-storm time and the magnetic storm time have also been investigated. The SED exhibits a shape with two parallel slender troughs in the middle and low latitudes during the non-storm time and then gradually develops into an ellipse structure as the development of magnetic storm. The intensity of SED and the fluctuation of the TEC evolution are generally corresponding to the fluctuation of Dst index. The analyzing results enrich our understanding of the temporal and spatial evolution of the ionospheric SED.     

On the detection of anomalous seismo-ionospheric behavior in the presence of space weather stimuli for large earthquakes

Anomalous behavior of ionospheric total electron content (TEC) prior to earthquake has been observed in many studies. Evidence of such seismo-ionospheric coupling effects suggests that it is plausible to rely on TEC signatures for early earthquake warning. However, the detection of pre-earthquake TEC anomalies (PETA) has not been adopted in practice due to two pertinent issues. Firstly, the effects of space weather activity can affect TEC levels and cause anomalous behavior in the TEC. Usually arbitrary thresholds are set for space weather indices to eliminate TEC anomaly due to space weather effects. Secondly, the choice regarding moving time-window length used to characterise background variation of TEC within the statistical envelope approach has an effect on detection of PETA. While the rule-of-thumb in selecting the moving window length is to have a time window capable of capturing background variability and short-term fluctuations, the length of the time window used in the literature varies with little justification. In this study, a critical examination is conducted on the statistical envelope approach and in particular, to eliminate the effect of space weather activity without the use of arbitrary space indices to detect PETA. A two-part PETA identification procedure is proposed, consisting of wavelet analyses isolating non-earthquake TEC contributions, followed by the statistical envelope method using a moving window length standardized based on observed periodicities and statistical implications is suggested. The approach is tested on a database of 30 large earthquakes (M?≥?7.0). The proposed procedure shows that PETA can be detected prior to earthquakes at higher confidence levels without the need to separately check for space weather activity. More importantly, the procedure was able to detect PETA for studies where it was previously reported that PETA could not be detected or detected convincingly.     

Near real-time PPP-based monitoring of the ionosphere using dual-frequency GPS/BDS/Galileo data

Ionosphere delay is very important to GNSS observations, since it is one of the main error sources which have to be mitigated even eliminated in order to determine reliable and precise positions. The ionosphere is a dispersive medium to radio signal, so the value of the group delay or phase advance of GNSS radio signal depends on the signal frequency. Ground-based GNSS stations have been used for ionosphere monitoring and modeling for a long time. In this paper we will introduce a novel approach suitable for single-receiver operation based on the precise point positioning (PPP) technique. One of the main characteristic is that only carrier-phase observations are used to avoid particular effects of pseudorange observations. The technique consists of introducing ionosphere ambiguity parameters obtained from PPP filter into the geometry-free combination of observations to estimate ionospheric delays. Observational data from stations that are capable of tracking the GPS/BDS/GALILEO from the International GNSS Service (IGS) Multi-GNSS Experiments (MGEX) network are processed. For the purpose of performance validation, ionospheric delays series derived from the novel approach are compared with the global ionospheric map (GIM) from Ionospheric Associate Analysis Centers (IAACs). The results are encouraging and offer potential solutions to the near real-time ionosphere monitoring.