城市区域多物流无人机协同任务分配

针对城市区域多无人机协同物流任务分配问题, 综合考虑不同无人机性能、物流时效性、飞行可靠性等影响因素, 以经济成本、时间损失和安全风险最小为目标函数, 构建多无人机协同物流任务分配模型。因问题规模大、求解复杂度高, 设计改进的量子粒子群算法进行求解。首先，为增强粒子遍历性和多样性, 采用均匀化级联Logistic映射进行粒子初始化; 其次，为避免算法陷入局部最优解, 引入基于高斯分布的粒子变异方式; 最后，为提高算法运行效率, 运用自适应惯性权重方法对粒子赋值。仿真实验结果表明，所构建的模型能够实现任务分配多目标优化, 贴近城市区域无人机物流配送实际; 所提算法与传统量子粒子群算法和遗传算法相比, 任务分配代价分别下降了5.9%和6.3%;并进一步对参数权重设置进行分析, 当3个子目标函数权重系数分别为0.225、0.275和0.500, 种群规模为150时, 算法规划的结果最优。     

Hybrid SVM／HMM Method for Face Recognition

A face recognition system based on Support Vector Machine(SVM) and Hidden Markov Model (HMM) has been proposed. The powerful discriminative ability of SVM is combined with the temporal modeling ability of HMM. The output of SVM is moderated to be probability output, which replaces the Mixture of Gauss (MOG) in HMM. Wavelet transformation is used to extract observation vector, which reduces the data dimension and improves the robustness.The hybrid system is compared with pure HMM face recognition method based on ORL face database and Yale face database. Experiments results show that the hybrid method has better performance.     

物流系统容错设计方法

在相关理论的指导下，提出了物流容错技术的基本概念，论述了常见的系统故障、典型的容错设计方法和故障检测手段，讨论了物流容错技术的应用前景和发展方向。     

DEA-based anti-HIV immunotherapy model

Acquiredimmunitydeficiencysyndrome(AIDS)isoneofthemostfataldiseasesthathasspreadacrossthewholeworldsinceitfirstoccurred.Itiscausedbythehumanimmunodeficiencyvirus(HIV)[1].Mostofthechemotherapiesareaimedatkillingorhaltingthepathogen,butanewtreatmentistoreduceviralpopulationandimprovetheimmuneresponse.Thistreatmentcanboosttheimmunesystemandservetohelpthebodyfightinfectiononitsown,soitiscalledantiHIVimmunotherapy[2,3].TheaimofthisworkistofindefficientstrategiesforsuchtreatmentsusingtheDataEnv…     

RSCRR空间5杆变角机构的结构和几种位置分析方法

本文对有名的 RSCRR 空间5杆变角机构进行了结构分析,进而用4种不同的方法对其进行位置分析,得出了相同的结论,证明了机构输出角δ与输入角α的关系是δ:arcsin[ctgλtg(arcctg((a/e)+cisa)/(sina))],并用实例证明了结论的正确。     

Forecasting trend output in the Euro area

This paper is an applied study about forecasting trend output and the output gap in the Euro area. The need for trend output forecasts is justified by an analysis of the monetary strategy of the European Central Bank. Trend output serves as a direct inflation indicator and helps to determine the reference value for money. For both purposes, trend output has to be forecasted. A permanent–transitory decomposition based on cointegration restrictions gives an estimate of trend output in the Euro area. Ex‐ante point forecasts of trend output are computed and bootstrap simulation is employed to construct prediction intervals that take estimation uncertainty into consideration. The uncertainty of trend output and the output gap is quite large and raises questions about their usefulness as indicators for monetary policy. Copyright © 2002 John Wiley & Sons, Ltd.     

A Dynamic Forecasting System with Applications in Production Logistics

Production logistics involve the co-ordination of ac tivities such as production and materials control (PMC), inventory management, p roduct life cycle management, etc. Those activities demand for an accurate forec asting model. However, the conventional methods of making sell and buy decision based on human forecast or conventional moving average and exponential smoothing methods is no longer be sufficient to meet the future need. Furthermore, the un derlying statistics of the market information change ...     

浅谈高校后勤社会化的财务核算

随着高校后勤改革的不断深入，高校后勤将逐渐从学校脱离，成为相对独立的经济实体，而原有高校的财务管理核算体制已不适应后勤改革的需要。     

四硫代钼酸铵与四硫代钨酸铵合成方法改进的研究

对钼酸铵与硫化氢反应合成四硫代钼酸铵、钨酸与硫化氢反应合成四硫代钨酸铵的方法进行了改进。结果表明，采用改进后的方法，反应时间分别为７小时和１１小时。比文献值￣［１１］缩短了许多。产率分别为９１．１％和５２．１％，均高于文献值￣［１］。