空降作战中空降兵电子对抗力量运用浅析

在科技引领的现代战争中,空降作战面临着高精度、杀伤力大的制导武器的威胁。电子对抗力量作为电子战中的武装力量,为空降兵提供了重要的安全保障。本文研究了空降作战在复杂的电磁环境中面临的电子武器威胁,分析了空降兵电子对抗力量在空降作战中的地位作用,结合空降作战的特点探索空降兵电子对抗力量的运用模式,如通过电子侦察、电子佯动、压制干扰、综合防护等手段为空降作战快速占据进攻优势奠定良好的电磁环境基础。此外,为完善空降兵电子对抗力量的作战结构,本研究提出空降作战中电子对抗作战运用的要求,以充分发挥电子对抗在空降作战中的能力,确保空降作战中制电磁权的优势,提高空降作战的制胜效能。     

Heart analytics: Analytical modeling of cardiovascular care

Cardiovascular diseases (CVDs) are the leading cause of death and disability both in the United States and worldwide. Despite high morbidity, mortality, and cost in the United States and global healthcare systems, cardiovascular care has been understudied in the healthcare operations management literature. In this paper, we identify research opportunities for healthcare operations management scholars to aid in improving cardiovascular care. We focus on three burdensome conditions, including (1) coronary artery disease, (2) stroke, and (3) heart failure, which, collectively, lead to the vast majority of CVD‐caused mortality and disability. For each condition, we characterize a typical patient's journey in receiving cardiovascular care, elucidating key challenges in improving care and outlining research questions for healthcare operations management scholars. We close with a reference to new research opportunities that emerge as artificial intelligence is likely to transform much of cardiovascular care.     

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.     

一种快速有效的循环平稳信号检测方法

TSAE-Z算法把时间切片自相关包络检测和可变步进的Zoom-FFT检测相结合,实现了对循环平稳信号的快速、精确检测,仿真结果表明,在相同数据长度条件下,TSAE-Z算法能够使检测运算时间减少3个数量级;在相同执行时间的条件下,TSAE-Z算法能在提高检测分辨率的同时使检测性能提升6dB以上。     

Optimal joint preventive maintenance and production policies

We study joint preventive maintenance (PM) and production policies for an unreliable production‐inventory system in which maintenance/repair times are non‐negligible and stochastic. A joint policy decides (a) whether or not to perform PM and (b) if PM is not performed, then how much to produce. We consider a discrete‐time system, formulating the problem as a Markov decision process (MDP) model. The focus of the work is on the structural properties of optimal joint policies, given the system state comprised of the system's age and the inventory level. Although our analysis indicates that the structure of optimal joint policies is very complex in general, we are able to characterize several properties regarding PM and production, including optimal production/maintenance actions under backlogging and high inventory levels, and conditions under which the PM portion of the joint policy has a control‐limit structure. In further special cases, such as when PM set‐up costs are negligible compared to PM times, we are able to establish some additional structural properties. © 2005 Wiley Periodicals, Inc. Naval Research Logistics, 2005.     

基于联合傅里叶变换测量CCD图像采集系统的像素问距

分析了CCD图像采集系统的像素间距测定的必要性,指出了靶板标定方法的缺点,介绍了联合傅里叶变换测量原理,给出了用测定CCD图像采集系统像素间距的测量装置以及测量方法。得到了实际测量的数据,并对数据进行了分析。     

新军事革命与C4I系统

介绍了联合作战的概念,着重分析了Ｃ４Ｉ在联合作战中的地位和作用、新军事革命对Ｃ４Ｉ的影响,并提出了几点看法。     

相依目标群系统火力分配问题分析与解法

本文中讨论由若干个相依目标群组成的平面点目标系统的火力分配问题。对于武器型号相同的情形,得到了“边际毁伤递减原理”和“循序最优方案即全局最优方案”等结论,并在此基础上提出了问题的解算方法。对于武器型号不同的情形,提出了“循序最优枚举法”,并得出有关结论。     

空地支援多目标模型

本文研究空地支援优化问题。模型的构造是基于目标规划理论。首先建立基础模型,然后根据问题条件,建立多目标模型。     

悬置螺母的载荷分布及优化设计

本文在全面考虑螺旋付变形和建立合理的力学模型的基础上,导出了悬置螺母载荷分布计算的矩阵表达式,并以载荷分布均匀为目标对其结构参数进行了优化。优化结果较好地改善了悬置螺母的载荷分布状况,显示出良好的应用前景。