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.     

Modeling and analysis of vessel casualties resulting from tanker traffic through narrow waterways

In this paper, we present a physics-based stochastic model to investigate vessel casualties resulting from tanker traffic through a narrow waterway. A state-space model is developed to represent the waterway and the location of vessels at a given time. We first determine the distribution of surface current at a given location of the waterway depending on channel geometry, bottom topography, boundary conditions, and the distribution of wind. Then we determine the distribution of the angular drift for a given vessel travelling at a given location of a waterway. Finally, we incorporate the drift probabilities and random arrival of vessels into a Markov chain model. By analyzing the time-dependent and the steady-state probabilities of the Markov chain, we obtain risk measures such as the probability of casualty at a given location and also the expected number of casualties for a given number of vessels arriving per unit time. Analysis of the Markovian model also yields an analytical result that shows that the expected number of casualties is proportional to square of the tanker arrival rate. We present our methodology on an experimental model of a hypothetical narrow waterway. © 1999 John Wiley & Sons, Inc. Naval Reseach Logistics 46: 871–892, 1999     

随机性理论在情报监视侦察建模中的应用

情报、监视、侦察(ISR)建模是战役级作战仿真建模的重点和难点,在仿真中不仅要求ISR模型能够准确地反映战场空间实体之间的感知交互,同时还要有较高的运行速度。为了解决此问题,以随机性理论为基础进行情报监视侦察的建模仿真,以区域侦察飞行器图像情报的建模全流程为例,阐述其主要环节的建模方法,并通过仿真实验验证了该套建模方法的适用性和有效性。与传统的确定性ISR建模方法相比,该方法在保证仿真精度的同时提高了运行效率,为战役级作战仿真中C4ISR建模与仿真提供了参考方法。     

对防空部队自动化控制系统的电子压制(二)效能指标

电子压制是赢得现代战争的关键技术。首先分析电子压制的应用背景,建立地面防空系统的分析模型并给出攻击机突破地面防空系统过程中,电子压制对方自动化控制系统的效能评估指标。给出的模型和效能评估指标可对作战决策提供理论依据。     

磁流变液剪切屈服应力模型的理论分析与实验

剪切屈服应力是评价磁流变液流变性能的最重要参数,建立全面、准确的磁流变液剪切屈服应力模型对于反映磁流变液的流变学本质及磁流变液的工程应用都具有重要意义。在分析磁流变液微观结构的基础上,采用电磁力学与流体动力学相结合的方法,建立了磁流变液的剪切屈服应力模型,并在自行研制的磁流变液剪切屈服应力测试装置上对自制的磁流变液进行了实验测试,验证了模型的正确性。     

基于高斯序列乘积和的相干非高斯分布杂波模拟新方法

提出了一种全新的相干K分布杂波模拟方法。相比经典的零记忆非线性变换(ZMNL)和球不变随机过程(SIRP)法,该方法的优点是能产生自相关函数(ACF)为任意复数的杂波序列,且不需要进行矩阵求逆和非线性变换,运算速度得到显著改善。仿真结果证明了这种方法的有效性。     

反潜直升机吊声搜潜效能的建模仿真

从直升机使用吊放声纳(简称吊声)的搜潜过程入手,通过仿真环境假设,吊声搜潜效能描述,建立了吊声搜潜效能的蒙特卡洛法模型。介绍了常用搜索方法,并建立了其搜索要素表。根据模型编制了仿真程序,实现了不同搜索方法的仿真计算,为研究不同战术条件下如何合理选择有效的搜索方法奠定了基础。     

A sequential attribute sampling inspection game for item facilities

The routine inspection of facilities storing large numbers of identical items is modeled as a two‐person, sequential game. Timely detection of illegal activity is parameterized in terms of a critical time to detection, and equilibria are derived which provide inspection strategies. Necessary conditions for deterrence of illegal behavior are discussed. © 2001 John Wiley & Sons, Inc. Naval Research Logistics 48: 496–505, 2001     

双机格斗行为建模方法研究

行为模型的真实性是决定CGF真实性的关键因素之一。针对双机格斗空战 ,提出了一种基于模糊规则的三层行为模型 ,并运用遗传算法对底层飞行状态模糊控制器进行了优化。文中给出了仿真实验结果。结果表明这种用模糊规则建立的行为模型产生了逼真的空战格斗行为。     

分布式A2C2决策队设计

现代战争的特点是高度的分布式协同作战。面对瞬息万变的战场需求 ,完成分布协同作战的指挥自动化系统 ,就必须能够自动适应战场需求变化 ,不断改变指挥系统组织结构。因此 ,实现指挥自动化系统的中心工作是建立 C2系统自适应变结构决策队组织。论述了建立自适应分布式指挥决策组织结构的有关问题 ,研究了在分布式条件下 ,自适应 C2决策队结构的设计。