基于多目标优化技术的发动机罩加强筋布局设计研究

为了加强发动机罩壳的静态刚度特性和抑制振动能力,实现罩壳结构的轻量化,引入基于水平集法的拓扑优化技术和多目标理论,完成发动机罩加强筋布局的多目标优化设计。采用折衷规划法构建关于静刚度和一阶固有频率的多目标优化模型,运用水平集法求出罩壳加强筋的最佳分布形式。结果表明,该方法能大大地提高静动态结构性能,最大应力的下降说明罩壳应力集中现象得到有效的改善,缓解罩壳的疲劳现象。此外,基于层次分析法确定权重因子,避免了多目标优化模型构建中的主观能动性。采用平均频率法对动态目标函数的处理,有效地消除了动态优化过程中的收敛性。     

面向J2EE框架的代码自动生成引擎设计及实现

针对目前J2EE应用系统项目开发存在交付滞后、维护性差等问题,提出了一种新的软件自动生成方法。设计了代码自动生成引擎的总体框架,给出了各个组成部分的详细设计方案,对关键组件进行了具体实现。该引擎为提高软件开发效率和降低软件开发成本提供了一种行之有效的途径和方法,在一定程度上降低了软件开发的风险。在实际项目开发中验证了该系统的可行性。     

大米营养强化工艺研究

分析了国内大米营养强化工作的现状，从工艺流程、营养强化效果、经济性等角度对目前几种主要的大米营养强化生产工艺进行了对比分析，为相关厂家选择适宜的强化工艺提供了参考依据。     

Rashba Effect on the Bound Polaron in an Asymmetric Quantum Dot

By using LLP variational method, the Rashba effect on the bound polaron in an asymmetric quantum dot is investigated and the expression of the bound polaron ground state energy is derived. Considering different Coulomb bound potentials, we discuss the relations between the ground state energy and the electron–phonon coupling strength, the wave vector, the transverse effective confinement length and the longitudsinal effective confinement length, respectively. The results show that the ground state energy is a decreasing function of the Coulomb bound potential, the electron–phonon coupling strength, the transverse effective confinement length and the longitudinal effective confinement length. On the contrary, it is an increasing function of the wave vector. Due to the Rashba effect, the ground state energy splits into two branches.     

数据挖掘技术在健康管理系统中的应用

该文研究了基于决策树的ID3算法,针对ID3算法应用在健康管理系统中存在的问题,提出了一个改进的算法,并利用改进算法对居民健康档案数据进行慢性病诱因的数据挖掘,挖掘结果证明,改进算法的决策树在健康管理系统中的数据挖掘是有效的。     

A Hybrid Genetic and Ant Colony Algorithm for Finding the Shortest Path in Dynamic Traffic Networks

Solving the dynamic shortest path problem has become important in the development of intelligent transportation systems due to the increasing use of this technology in supplying accurate traffic information. This paper focuses on the problem of finding the dynamic shortest path from a single source to a destination in a given traffic network. The goal of our studies is to develop an algorithm to optimize the journey time for the traveler when traffic conditions are in a state of dynamic change. In this paper, the models of the dynamic traffic network and the dynamic shortest path were investigated. A novel dynamic shortest path algorithm based on hybridizing genetic and ant colony algorithms was developed, and some improvements in the algorithm were made according to the nature of the dynamic traffic network. The performance of the hybrid algorithm was demonstrated through an experiment on a real traffic network. The experimental results proved that the algorithm proposed in this paper could effectively find the optimum path in a dynamic traffic network. This algorithm may be useful for vehicle navigation in intelligent transportation systems.     

基于μ律拟合的小波自适应阈值去噪算法

针对小波阈值去噪法,硬阈值函数处理后信号易产生振荡,软阈值函数处理后信号的失真大等问题,提出了一种基于μ律拟合的新阈值函数。针对语音信号和噪声在不同小波尺度下具有不同的奇异性,即语音信号的小波变换系数的模值随尺度的增加而增加;噪声的小波变换系数的模值随尺度的增大而减小,提出了一种自适应阈值。实验表明,经新算法增强后语音的清晰度和可懂度有了明显的提高。     

Analysis and Control over Noises in Main Driving System of XK-736-type NC Miller

Some concrete methods are suggested in the article to control noises in main driving system of XK-736-type NC miller by analyzing working conditions of gears in the main driving system and bearings in the spindle gearshift system.Without changing the original design,noises are reduced ideally by modifying gear top,and by controlling the profile error;the central distance of meshing gear,the quality of the inner and outer rings of bearings;and the fit accuracy among bearing,hole and axis.The results may provide a reference for diagnosing and maintaining in future use.     

An Improved Genetic Algorithm for Berth Scheduling at Bulk Terminal

Berth and loading and unloading machinery are not only the main factors that affecting the terminal operation, but also the main starting point of energy saving and emission reduction. In this paper, a genetic Algorithm Framework is designed for the berth allocation with low carbon and high efficiency at bulk terminal. In solving the problem, the scheduler’s experience is transformed into a regular way to obtain the initial solution. The individual is represented as a chromosome, and the sub-chromosomes are encoded as integers, the roulette wheel method is used for selection, the two-point crossing method is used for cross, and the exchange variation method is used for variation in the procedure of designing the Algorithm. Considering the complexity of berth scheduling problem and the diversity of constraints and boundary conditions, the genetic algorithm combines with system simulation to get the final scheme of berth allocation. This model and algorithm are verified to be practical by analyzing multiple sets of examples of shorelines with different lengths. When compared with the traditional algorithms in three aspects which includes berth offset distance, departure delay cost and energy consumption of portal crane, the result indicates that the improved algorithm is more effective and feasible. The study will help to lower energy consumption and resource waste, reduce environmental pollution, and provide a reference for low-carbon, green and sustainable development of the terminal.     

综合决策模型在饮水安全应急预案评估中的应用

针对饮水安全应急预案评估中各因素对预案评价结果影响程度不同的问题,以湖州市饮水安全为例,基于经典的优化理论、技术与方法,将人的经验知识量化原理与模糊数学相结合构建了综合决策模型,通过二元对比排序一致性定理及规则,给出决策集对于优越性的排序。实例结果表明,该方案能综合考虑各种因素的影响,且评价结果客观准确。