离散小波变换在被动声目标识别中的应用

研究了战场被动声目标鲁棒特征参数的提取,分析了战场声信号与语音信号特征的相似性,提出基于MFCC参数的战场声目标识别方法。针对战场环境存在强噪声干扰情况,提出一种改进的MFCC特征参数(DWTMFCC)提取方法,该方法将小波分析和MEL倒谱分析结合,提高了特征参数的鲁棒性。仿真结果表明:在噪声条件下,利用DWTMFCC参数进行声目标识别,平均识别率比MFCC参数高出3.134个百分点,信噪比为5dB时,识别率仍达到93.67%。     

Bicriteria scheduling on a single batching machine with job transportation and deterioration considerations

We study a single batching machine scheduling problem with transportation and deterioration considerations arising from steel production. A set of jobs are transported, one at a time, by a vehicle from a holding area to the single batching machine. The machine can process several jobs simultaneously as a batch. The processing time of a job will increase if the duration from the time leaving the holding area to the start of its processing exceeds a given threshold. The time needed to process a batch is the longest of the job processing times in the batch. The problem is to determine the job sequence for transportation and the job batching for processing so as to minimize the makespan and the number of batches. We study four variations (P1, P2, P3, P4) of the problem with different treatments of the two criteria. We prove that all the four variations are strongly NP‐hard and further develop polynomial time algorithms for their special cases. For each of the first three variations, we propose a heuristic algorithm and analyze its worst‐case performance. For P4, which is to find the Pareto frontier, we provide a heuristic algorithm and an exact algorithm based on branch and bound. Computational experiments show that all the heuristic algorithms perform well on randomly generated problem instances, and the exact algorithm for P4 can obtain Pareto optimal schedules for small‐scale instances. © 2014 Wiley Periodicals, Inc. Naval Research Logistics 61: 269–285, 2014     

农学专业教学生产实习问题探讨

农学专业是一门实践性非常强的专业,其中教学生产实习是专业教育过程中极为重要的环节,其成败直接影响农学专业学生的综合能力和水平。经过多年指导农学专业教学生产实习的实践,现就农学专业教学生产实习的特点和在新时期下存在的主要问题进行分析,并提出相应的改革措施。     

回归型支持向量机的机翼结冰冰型预测

飞机结冰严重威胁着飞行安全。针对机翼结冰冰型预测时不确定性因素较多、难以准确预测的问题,提出了一种基于回归型支持向量机的机翼结冰冰型预测方法。在建立冰型模型的基础上,利用回归型支持向量机(Support Vector Regression,SVR)获得冰型多项式系数,从而预测出相关飞行条件和大气条件下的冰型。仿真结果表明,该方法具有较好的预测能力,可以及时提供可靠的结冰信息,为保证结冰条件下的飞行安全提供了保障。     

综合系统多重递阶控制设计方法研究(一)空-空航炮的机身指向火控解算方法

为了满足综合系统多重递阶控制设计方法的需求,建立了空-空航炮的机身指向火控解算方法.该方法是在期望弹丸命中目标的情况下求解机身期望指向及其变化率.在某验证机的控制增稳系统上,采用所建立的火控解算方法以及综合系统多重递阶控制设计方法,设计了综合飞行/火力控制系统.仿真结果表明,所建立的空-空航炮机身指向火控解算方法较好地满足了综合飞行/火力控制系统的设计需求,获得了良好的综合控制系统动态性能.     

A Markovian model for process setup and improvement

We examine the setup and improvement policies for a production process with multiple performance states. Assume that the production process deteriorates randomly over time, following a Markovian process with known transition probabilities. In order to reduce the production cost incurred because of process deterioration, the process is inspected at the end of each period. Then one of three actions may be taken: do nothing, perform routine process setup, or perform routine setup and process improvement. The routine setup operation returns the process to its best performance state, whereas the process improvement action may reduce future production and setup costs and improve the process-state transition probabilities. A discounted Markovian model is formulated to find the strategy that minimizes the total cost of operating the production process. © 1997 John Wiley & Sons, Inc. Naval Research Logistics 44: 383–400, 1997     

矿产统计预报的多元信息复合方法及预测模型

如何有效地利用多种信息进行矿产统计预报是一个有经济效益的课题。本文运用多信息复合思想,采用回归分析、判别分析和集成预报等方法使矿物预报的正确概率大大提高。     

国内外安全标准现状与发展及其对构建国防工业安全标准体系的启示

介绍了国外发达国家、先进组织机构安全标准及体系的现状与特点,分析了国内安全标准的制修订情况和危险化学品、防尘防毒安全生产标准体系的分类与构成。在分析国防科技工业安全标准现状的基础上,提出了构建国防工业安全标准体系的主要任务和实施要求。     

矩形波导结构潘尼管工作特性的分析

本文导出了一般TE_(no)模矩形波导结构潘尼管的色散方程,对潘尼管作了更明确的解释,并详细计算了TE_(20)模潘尼管的色散方程,得到其基波和第三次谐波同步谐振的色散曲线。该曲线表明,潘尼管在基波谐振上有1.5%的增长率,而在第三次谐波上有0.8%的平均增长率。此外,用非线性理论分析基波和第三次谐波同步谐振时的工作情况,给出了电子饱和时的电子分布图。在常直流磁场下优化结果表明,潘尼管在其次谐振时有51%的高效率和QP_w=9949.9MW 的输出功率,而在第三次谐振时有11%的效率和QP_w=1741.8MW 的输出功率。