面向对象软件测试

探讨面向对象软件的测试过程和方法,主要研究了类的测试和集成测试。     

某型导弹弹翼静力分析的一种数学模型

应用有限元方法,建立了变厚度薄板三角形单元刚度矩阵,给出了变厚度薄板三角形单元形心上的应力和位移计算的数学模型。通过对某型反坦克导弹弹翼进行静力分析和实验比较,表明采用这种模型进行分析合乎结构设计精度要求。     

火炮反后坐装置模糊相似性分析

在相似系统理论的基础上,识别了火炮反后坐装置要素,确定了相似元数值的大小,计算了反后坐装置系统相似度。结果表明：相似系统理论在火炮中的应用是一个值得注意的新领域。     

车辆装备保障分队单兵训练质量组合评价分析

针对当前部队车辆装备保障分队单兵训练质量评价中所存在的问题和不足,综合运用集对分析一四元联系数理论、马尔可夫链模型和熵权双基点法,尝试提出一种新的评价分析方法——SHE组合评价分析法,排除单兵原有基础差异对年度训练考核成绩的影响,考虑评价对象之间的情感因素和分队训练条件对单兵训练质量的影响,从而使评价显得更加客观、公正和公平．最后,结合算例,分析说明了此方法的具体应用．     

重庆保障性住房套型特点与优化设计

保障性住房建设是我国当前重要的民生问题,其中套型设计是保障性住房建设的主要内容。作为代表模式,研究重庆保障性住房套型特点和优化措施对提升我国保障性住房设计质量具有一定的借鉴和示范意义。在分析影响重庆保障性住房设计的国家宏观住房政策、规范与标准等相关因素的基础上,以重庆保障性住房典型开发项目为案例,着重论述重庆保障性住房套型的平面布局、类型与面积标准、功能构成与空间尺度的主要特点与不足,并从合理确定得房率、空间复合、精细化设计和节能技术推行等4个方面提出优化重庆保障性住房套型紧凑性、灵活性、舒适性和节能性的理念与方法。     

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.     

Electronic warfare in the optical band: Main features,examples and selected measurement data

The paper presents the possibilities of, and methods for, acquiring, analysing and processing optical signals in order to recognise, identify and counteract threats on the contemporary battleground. The main ways electronic warfare is waged in the optical band of the electromagnetic wave spectrum have been formulated, including the acquisition of optical emitter signatures, as well as ultraviolet (UV) and thermal (IR) signatures. The physical parameters and values describing the emission of laser radiation are discussed, including their importance in terms of creating optical signatures. Moreover, it has been shown that in the transformation of optical signals into signatures, only their spectral and temporal parameters can be applied. This was confirmed in experimental part of the paper, which includes our own measurements of spectral and temporal emission characteristics for three types of binocular laser rangefinders. It has been further shown that through simple registration and quick analysis involving comparison of emission time parameters in the case of UV signatures in “solar-blind” band, various events can be identified quickly and faultlessly. The same is true for IR signatures, where the amplitudes of the recorded signal for several wavelengths are compared. This was confirmed experimentally for UV signatures by registering and then analyzing signals from several events during military exercises at a training ground, namely Rocket Propelled Grenade (RPG) launches and explosions after hitting targets, trinitrotoluene (TNT) explosions, firing armour-piercing, fin-stabilised, discarding sabots (APFSDS) or high explosive (HE) projectiles. The final section describes a proposed model database of emitters, created as a result of analysing and transforming the recorded signals into optical signatures.     

蒙特卡洛优化法在机组组合问题中的应用

机组组合(UC)是电力系统经济运行的重要内容之一。根据UC约束特点将机组组合问题分解为单机多时段和多机单时段问题。基于蒙特卡洛(MC)优化法原理,解决单机多时段的启停问题及最后过滤比较找出最优可行解;利用运行费用可导性,解决了爬坡约束并得出多机单时段下的最优解。最后在Madab 6.1下通过算例验证了该方法的可行性。     

数字化部队战斗力优化组合模型

数字化部队在战场上的出现,是信息战争产生的重要标志之一.随着信息技术的兴起,一些西方国家组建了数字化部队并加深了对其编成和结构理论的研究.首先介绍了模块理论,通过对数字化部队战斗力原理的分析,讨论了数字化部(分)队战斗力构成要素.在此基础上,使用线性规划理论试探性的构建出数字化部(分)队战斗力模块组合模型,并对模型的不同组合方式进行了论证和分析,得出数字化部(分)队战斗力模块的一种优化组合.最后展望了本课题下一步工作的研究重点.     

合成分队动态武器目标分配协同决策模型

针对合成分队地面作战特点,提出了一种动态武器目标分配的协同决策模型,该模型基于一种自适应决策中心的协同决策体系结构,以战场信息共享为核心,实现动态火力协同优化分配。提出了针对战场应急目标的一种快速火力分配方法,提高火力整体打击效率的火力适度分配优化方法,适应战场态势动态变化的anytime终止控制方法。仿真实例表明,该模型能够满足合成分队火力动态分配的需求,提高动态武器目标分配决策的合理性和科学性。