中职计算机任务驱动教法的任务设计探究

随着中职计算机教学改革的不断深入,各种适应中职学生特点的教学方法也应运而生,其中,任务驱动的教学方法在计算机课中被广泛使用,实践表明这种教学方法是在计算机这门课中是相当有效的。近几年来,作为中职计算机教师在这一方面也做了些有益的尝试,在此,对任务驱动教学中的任务设计谈一些体会和认识。     

多阶段共因失效任务系统可靠性仿真

在多阶段共因失效任务系统(PMS_CCF)中,阶段依赖性和共因失效增加了系统可靠性分析的复杂度。为此,提出一种基于蒙特卡洛方法的PMS_CCF仿真算法。通过建立显性故障树获得显性共因结构函数,利用抽样统计思想设计依赖性处理模块,并计算可靠性指标。算例分析结果表明,该算法与解析算法的结果相近,具有可行性。     

基于Extend的多态PMS仿真模型

针对现有解决多态多阶段任务系统(PMS)的方法存在过程复杂、缺乏统一排序的问题,以最小割集为基础,提出基于Extend的多态PMS仿真模型。通过结构函数表达各阶段的逻辑关系,在已知基本设备失效分布函数的情况下,利用抽样统计思想处理多态PMS中的阶段依赖和模式依赖关系。相比DEP-BDD解析算法,应用该模型求解PMS能在保证可靠度误差较小、稳定性较好的基础上,使建模分析过程更简单。     

独立学院大学计算机基础训练教学探讨

针对以培养学生的实际动手操作能力为目标,结合独立学院计算机基础教育的培养目标和独立学院学生计算机应用能力的现状,指出计算机基础训练中存在的问题并提出相应的解决办法,提出对大学计算机基础训练课程的几点教学建议。     

Improving the efficiency and reliability of wearable based mobile eHealth applications

In this paper we address the support of wearable mHealth applications in LTE and future 5G networks following a holistic approach that spans across the elements of a mobile network. The communication requirements change from one application to another so we propose a measurement methodology to facilitate the selection of the user equipment to fulfil these requirements. We also discuss a new network architecture to support traffic prioritization, RAN programmability, low latency and group communications to over-the-top applications. Our proposal is validated using several realistic experimentation platforms and the results show that mHealth systems can benefit from our approach.     

PMS故障树分析中的变量排序策略库研究

研究阶段任务系统(PMS)故障树变量排序方法。构造一个包含10种不同排序策略的策略库,基于实例基准测试对策略库中的单个策略进行平均性能分析,并在此基础上对策略库本身进行互补性和完备性分析。实例分析表明,应用该策略库可以为各种结构特征的大规模PMS故障树快速有效地生成系统二进制决策图。     

基于双指标并行A*算法的自动航线规划仿真

研究导航线路优化问题,针对现实战场环境错乱复杂,飞行员要担负飞行规划和战斗规划双重任务,为了让飞行员航线规划中释放出来,需要实现自动航线规划技术为飞行任务提供辅助决策.为了准确快速自动地规划出从起点到终点之间的“最优”航线,提出采用双指标并行A*算法的自动航线规划算法,将三维地形、雷达探测范围和飞机性能约束结合到A*算法中,并使用并行程序设计思想解决了常规A*在搜索路径时耗时长的问题.在实现算法的基础上,编写程序进行仿真,多组仿真对比,结果验证了并行A*算法在解决自动航线规划问题时的有效性和高效性.     

Landsat continuity: Issues and opportunities for land cover monitoring

Initiated in 1972, the Landsat program has provided a continuous record of earth observation for 35 years. The assemblage of Landsat spatial, spectral, and temporal resolutions, over a reasonably sized image extent, results in imagery that can be processed to represent land cover over large areas with an amount of spatial detail that is absolutely unique and indispensable for monitoring, management, and scientific activities. Recent technical problems with the two existing Landsat satellites, and delays in the development and launch of a successor, increase the likelihood that a gap in Landsat continuity may occur. In this communication, we identify the key features of the Landsat program that have resulted in the extensive use of Landsat data for large area land cover mapping and monitoring. We then augment this list of key features by examining the data needs of existing large area land cover monitoring programs. Subsequently, we use this list as a basis for reviewing the current constellation of earth observation satellites to identify potential alternative data sources for large area land cover applications. Notions of a virtual constellation of satellites to meet large area land cover mapping and monitoring needs are also presented. Finally, research priorities that would facilitate the integration of these alternative data sources into existing large area land cover monitoring programs are identified. Continuity of the Landsat program and the measurements provided are critical for scientific, environmental, economic, and social purposes. It is difficult to overstate the importance of Landsat; there are no other systems in orbit, or planned for launch in the short-term, that can duplicate or approach replication, of the measurements and information conferred by Landsat. While technical and political options are being pursued, there is no satellite image data stream poised to enter the National Satellite Land Remote Sensing Data Archive should system failures occur to Landsat-5 and -7.     

Predictive algorithm to determine the suitable time to change automotive engine oil

Recently, emerging technologies related to various sensors, product identification, and wireless communication give us new opportunities for improving the efficiency of automotive maintenance operations, in particular, implementing predictive maintenance. The key point of predictive maintenance is to develop an algorithm that can analyze degradation status of automotive and make predictive maintenance decisions. In this study, as a basis for implementing the predictive maintenance of automotive engine oil, we propose an algorithm to determine the suitable change time of automotive engine oil by analyzing its degradation status with mission profile data. For this, we use several statistical methods such as factor analysis, discriminant and classification analysis, and regression analysis. We identify main factors of mission profile and engine oil quality with factor analysis. Subsequently, with regression analysis, we specify relations between main factors considering the types of mission profile of automotive: urban-mode and highway-mode. Based on them, we determine the proper change time of engine oil through discriminant and classification analysis. To evaluate the proposed approach, we carry out a case study and have discussion about limitations of our approach.     

DA42MPP双载荷测绘型特种飞机航测应用案例分析

2015年10月,基于钻石DA42 MPP平台的双载荷测绘型特种飞机在奥地利完成了首次验证飞行[1]。本文对DA42 MPP飞机平台的性能与特性,双载荷系统的组成与架构做了介绍,并对此次验证飞行案例中的飞行数据和测绘数据的质量、精度进行了分析与评估。结果表明,双载荷系统可以同时协同工作,所获取的航测数据的质量与精度满足测绘行业的国家规范和标准,基于钻石DA42 MPP的双载荷测绘型特种飞机能够满足航拍航测任务。