C++ Builder面向对象编程在多路串行通信中的应用

以模拟导航信号源软件开发为例 ,从面向对象分析设计方法、多线程方法、异常处理等几方面介绍了C ++Builder面向对象编程在多通道实时串行通信系统中应用的一种方法     

Testing of software with an operational profile

One of the important features of any software system is its operational profile. This is simply the set of all operations that a software is designed to perform and the occurence probabilities of these operations. We present a new model on optimal software testing such that testing is done sequentially using a set of test cases. There may be failures due to the operations in each of these cases. The model parameters, consisting of testing costs and failure rates, all depend on the cases used and the operations performed. Our aim is to find the optimal testing durations in all of the cases in order to minimize the total expected cost. This problem leads to interesting decision models involving nonlinear programming formulations that possess explicit analytical solutions under reasonable assumptions. © 2000 John Wiley & Sons, Inc., Naval Research Logistics 47: 620–634, 2000     

Scheduling stochastic jobs with asymmetric earliness and tardiness penalties

We consider a stochastic counterpart of the well-known earliness-tardiness scheduling problem with a common due date, in which n stochastic jobs are to be processed on a single machine. The processing times of the jobs are independent and normally distributed random variables with known means and known variances that are proportional to the means. The due dates of the jobs are random variables following a common probability distribution. The objective is to minimize the expectation of a weighted combination of the earliness penalty, the tardiness penalty, and the flow-time penalty. One of our main results is that an optimal sequence for the problem must be V-shaped with respect to the mean processing times. Other characterizations of the optimal solution are also established. Two algorithms are proposed, which can generate optimal or near-optimal solutions in pseudopolynomial time. The proposed algorithms are also extended to problems where processing times do not satisfy the assumption in the model above, and are evaluated when processing times follow different probability distributions, including general normal (without the proportional relation between variances and means), uniform, Laplace, and exponential. © 1997 John Wiley & Sons, Inc. Naval Research Logistics 44, 531–557, 1997.     

一种基于神经网络的磁性目标定位方法

磁性目标定位问题可归结为一类非线性规划问题的求解 .该问题的最大特点就是其目标函数的计算过程极为繁琐 .而目标函数计算的快慢对磁定位的实时性有很大影响 .在详细研究了目标函数之后 ,给出了目标函数的一种神经网络结构实现 .由于该网络结构易于并行计算和VLSI实现 ,从而可使磁定位的实时性得到改善 .     

Shortest path interdiction problem with arc improvement recourse: A multiobjective approach

We consider the shortest path interdiction problem involving two agents, a leader and a follower, playing a Stackelberg game. The leader seeks to maximize the follower's minimum costs by interdicting certain arcs, thus increasing the travel time of those arcs. The follower may improve the network after the interdiction by lowering the costs of some arcs, subject to a cardinality budget restriction on arc improvements. The leader and the follower are both aware of all problem data, with the exception that the leader is unaware of the follower's improvement budget. The effectiveness of an interdiction action is given by the length of a shortest path after arc costs are adjusted by both the interdiction and improvement. We propose a multiobjective optimization model for this problem, with each objective corresponding to a different possible improvement budget value. We provide mathematical optimization techniques to generate a complete set of strategies that are Pareto‐optimal. Additionally, for the special case of series‐parallel graphs, we provide a dynamic‐programming algorithm for generating all Pareto‐optimal solutions.     

混合不确定条件下航空不安全事件量化分析方法

为解决不确定条件下航空不安全事件量化分析的难题,基于随机和模糊理论对影响飞行安全的主客观变量进行了混合不确定描述,将难以用概率表示的主观变量处理成为隶属度λ水平截集上服从均匀分布的随机变量。在此基础上,提出了混合不确定条件下航空安全指标和数值计算方法,所提指标和方法能够简洁、直观、准确地反映航空安全水平。通过航空安全领域普遍采用的Bow-tie模型对轮胎爆破事件安全性指标和隶属度关系进行仿真分析。结果表明:将不确定变量控制在一定隶属度水平,能显著提高航空安全指标。     

BDS/INS紧组合三频动对动模糊度解算方法

针对伪距观测噪声较大导致动对动条件下三频整周模糊度解法(Three Carrier Ambiguity Resolution, TCAR)模糊度解算不可靠的问题,提出了一种BDS/INS紧组合三频动对动整周模糊度解算方法。通过紧组合系统输出的高精度位置坐标,估算出双差几何距离值,并用其分别代替无几何和几何模式下的双差伪距观测值,显著降低了伪距双差观测噪声水平,有效提高了三频整周模糊度解算成功率。仿真实验结果表明,BDS/INS紧组合输出的高精度位置坐标使得伪距观测精度提高了60%以上,在短基线条件下,当伪距观测噪声达到2 m时,无几何模式下的TCAR算法模糊度解算成功率为0.73%,几何模式下的TCAR算法模糊度解算成功率为31.25%,而BDS/INS紧组合的TCAR算法在两种模式下的模糊度解算成功率达到99%以上,并且获得了厘米级的相对定位精度。     

机动管线顺序输送混油浓度检测装置研究

在管线顺序输送中,基于油品密度的混油浓度检测技术的应用最为广泛。根据机动管线的使用特点和要求,提出了几种适合机动管线的混油浓度检测方案,进行了分析比较,并设计了一种新型测力式混油浓度检测装置。该装置主体结构采用自力机械式结构。原理简单,无需外部电源,操作使用、维修保养方便。     

GPS和类GPS测距技术联合用于双星编队星座的状态确定

编队卫星状态的高精度确定是编队星座功能实现的重要基础。针对对地观测的双星编队星座的状态确定问题,为了提高状态确定的精度,在GPS技术的基础上,引入了类GPS测距技术,建立了联合GPS和类GPS测距技术进行状态整体确定的两种数学模型,并讨论了GPS星间单差模糊度和类GPS星内单差模糊度的同时初始化方法,最后进行了数值仿真。仿真结果显示,类GPS观测值尤其是类GPS星内载波单差观测值的引入,明显提高了双星编队星座的状态确定精度,其中绝对姿态角的精度达到rad,相对位置的精度达到m,相对钟差的精度达到s。仿真证明方法正确有效,模型二更优于模型一。     

无人战斗机航路规划圆切线算法

通过对无人战斗机低空进入敌防区面临的各种威胁进行分析,建立了适用于圆切线算法的威胁场模型;由于可行方向法对威胁圆叠加时规划出的航路效果不理想,提出了圆的切线算法理论作为此航路规划方法的改进,采用随机产生威胁场的方法来模拟多变的战场环境,并且进行了理论分析,最后得出仿真结果.仿真证明,将两种方法结合规划出的飞行航线在航程上是比较理想的,而且路径规则的效果也得到了很大的提高.