I2C 串行通讯的软件实现

本文就如何用不带Ｉ２Ｃ硬件接口的５１系列单片机通过软件仿真Ｉ２Ｃ接口以实现其与外围器件ＥＥＰＲＯＭ２４Ｃ０１Ａ之间的Ｉ２Ｃ通讯进行了详细的论述。     

装备制造基础数据治理体系建设研究

数据治理是数据管理的核心职能。装备制造业务涉及设计、生产、试验、综合保障以及计划管理各方面,相关数据类型繁多,产生和积累了大量业务数据。但由于目前大部分军工企业的数据标准化体系不健全,导致基础数据质量不高。本文通过借鉴、数据治理等技术,研究构建具备数据治理、数据标准、数据架构、数据安全、数据质量、数据应用等核心能力,三位一体并覆盖装备制造全寿命周期的数据治理体系,同时,依据装备数据管理规范和标准开发面向装备领域的流程化数据治理服务平台,以实施统一编码,打通流程和数据,为装备制造各阶段的信息共享、追溯、统计分析提供数据基础,促进设计研发、生产制造和运营管理的有效集成,从而有效发挥数据效能,提升军工企业的信息化高端收益水平。     

基于强跟踪滤波器的多雷达配准方法

在多雷达数据处理系统中,雷达本身的系统偏差是影响目标跟踪和数据融合质量的一个重要因素。提出了基于强跟踪滤波器(STF)的多雷达配准算法。该算法是利用各雷达相对主雷达的测量差值,利用强跟踪滤波器(STF)实时估计出各雷达的系统偏差(方位和距离),从而进行配准。仿真实验结果表明这种方法是有效的。     

导弹系统安全性分析中的引发事件鉴别方法

引发事件鉴别是基于事故机理安全性分析的首要任务。鉴别结果是否全面、完整直接影响最终分析结果的有效性。导弹系统安全风险涉及面广、影响因素多,需要系统的可操作方法来指导引发事件的鉴别工作。针对导弹工作特点,提出考虑导弹任务剖面,运用主逻辑图对导弹进行系统性的层次化描述,对引发事件进行整理和归纳。将危险与可操作性分析引入导弹系统安全性分析中进行引发事件鉴别,结合故障模式影响分析,支持对单一故障类和参数异常类引发事件的鉴别。结果表明,所提框架为解决导弹系统安全性分析中引发事件鉴别的系统性完整性提供了可行的思路。     

艺坛大师 教育楷模——徐悲鸿其人其事论略

徐悲鸿先生是我国著名的绘画艺术大师,艺术教育的先驱和楷模。重温他的生平事迹、艺术历程以及他那热爱祖国、献身教育、礼贤下士、为人师表的高尚品德,对当代大学生的爱国主义精神和思想品德教育具有现实意义。     

Complexity and workload considerations in product mix decisions under the theory of constraints

The literature on the product mix decision (or master production scheduling) under the Theory of Constraints (TOC), which was developed in the past two decades, has addressed this problem as a static operational decision. Consequently, the developed solution techniques do not consider the system's dynamism and the associated challenges arising from the complexity of operations during the implementation of master production schedules. This paper aims to address this gap by developing a new heuristic approach for master production scheduling under the TOC philosophy that considers the main operational factors that influence actual throughput after implementation of the detailed schedule. We examine the validity of the proposed heuristic by comparison to Integer Linear Programming and two heuristics in a wide range of scenarios using simulation modelling. Statistical analyses indicate that the new algorithm leads to significantly enhanced performance during implementation for problems with setup times. The findings show that the bottleneck identification approach in current methods in the TOC literature is not effective and accurate for complex operations in real‐world job shop systems. This study contributes to the literature on master production scheduling and product mix decisions by enhancing the likelihood of achieving anticipated throughput during the implementation of the detailed schedule. © 2015 Wiley Periodicals, Inc. Naval Research Logistics 62: 357–369, 2015     

舰载火力与指挥控制系统中数字通信接口软件的可靠性设计

介绍了一种基于ＲＳ－４２２Ａ的接口软件设计,讨论了它的工作原理及在目标样机上软件可靠性设计的实现过程,建立了一种适用于主从关系的通信模式。     

Predicting intensive care unit bed occupancy for integrated operating room scheduling via neural networks

In a master surgery scheduling (MSS) problem, a hospital's operating room (OR) capacity is assigned to different medical specialties. This task is critical since the risk of assigning too much or too little OR time to a specialty is associated with overtime or deficit hours of the staff, deferral or delay of surgeries, and unsatisfied—or even endangered—patients. Most MSS approaches in the literature focus only on the OR while neglecting the impact on downstream units or reflect a simplified version of the real‐world situation. We present the first prediction model for the integrated OR scheduling problem based on machine learning. Our three‐step approach focuses on the intensive care unit (ICU) and reflects elective and urgent patients, inpatients and outpatients, and all possible paths through the hospital. We provide an empirical evaluation of our method with surgery data for Universitätsklinikum Augsburg, a German tertiary care hospital with 1700 beds. We show that our model outperforms a state‐of‐the‐art model by 43% in number of predicted beds. Our model can be used as supporting tool for hospital managers or incorporated in an optimization model. Eventually, we provide guidance to support hospital managers in scheduling surgeries more efficiently.     

基于事务级模型的火控计算机建模研究

在对系统进行高层次建模和验证时,事务级模型得到越来越广泛的应用。在SystemC语言的基础上构建了火控计算机的事务级模型,并通过事务级的仿真,对模型的功能进行了验证,为下一步的软硬划分和硬件设计打好基础。     

武警学院硕士学位论文质量管理有关问题探讨

学位论文是学员在导师的指导下完成的总结性作业,是研究生学员在院学习期间的总结性成果,是学校研究生教育工作的重要内容,因此,要坚持质量至上的原则,应在内在质量、形式质量、答辩质量上以及选题、评阅等环节严格把关。