确定简单多边形旋转时碰撞部位的扫描算法

给定平面内任意两个互不相交的简单多边形Ｐ是Ｑ。若Ｐ在平面内绕０点旋转时与ＡＱ碰撞,讨论其碰撞部位的判定问题,通过分析多边形关于０点的单调边,在平面扫描算法的榧耻提出了曲线扫描法,给这一总理２的Ｏ（（ｍ＋ｎ）ｌｏｇ（ｍ＋ｎ））算法,与现有的算法相比,降低了时间复杂性,这一方法在计算几何和计算机图形学等领域具有一定的理论和实吓价值。     

非线性摄动离散系统H∞鲁棒控制

对于具有非线性摄动的离散系统,提出了H∞鲁棒控制问题.应用离散系统H\-∞范数与Riccat不等式的关系,给出了考虑具有不确定非线性摄动离散系统的H∞鲁棒性能设计准则,以此,给出了对于这样的被控对象的反馈控制器设计方法.     

车门LIN网络通信程序设计

介绍了轿车车门LIN网络基本结构,LIN总线的主/从节点采用MC68HC908GZ60/MC68HC908QL4,阐明了基于ESCI/SLIC模块的LIN主/从节点软件设计流程,编写了主、从节点的LIN通信程序.实践证明,该程序运行正常、可靠,为车门控制系统顺利实现提供可靠的保障.     

Tyr/MWNTs-Chit/GCE生物传感器的制备及其在快速检测大肠杆菌中的应用

该文基于多壁碳纳米管(muhiwalled carbon nanotubes,MWNTs)-壳聚糖(Chit)复合物修饰电极制备了灵敏、稳定的酪氨酸酶(tyrosinase.Tyr)生物传感器.由于MWNTs-Chit复合物具有好的生物兼容性以及电催化能力,Tyrr/MWNTs-Chit/GCE生物传感器在苯酚的检测中具有高灵敏度(412 mA/mo1),低检测限(5.0nmol/L),较宽的线性范围(1.0×10-8～2.8×10-5mol/L)以及良好的稳定性(10天后仍保持93%的活性).把Tyr/MWNTs-Chit/GCE生物传感器进一步应用于大肠杆菌的检测,大肠杆菌在104～107 cfu/mL范围内与电流响应成正比;经过5.0 h的培养,进一步降低大肠杆菌的检测限至10 cfu/mL.     

EWB虚拟技术在《模拟电子线路》课程教学中的应用

虚拟技术是利用计算机模拟仿真真实过程的一项实用技术,虚拟技术的发展使电子线路的分析设计过程得以在计算机上轻松、准确、快捷地完成。其优点是方便的更改电路和元件参数,更快更好的了解电子电路的各种性质,缩短设计电路的时间。利用计算机的电子设计自动化,促进《模拟电子线路》教学的现代化是一种新的教学方法,也是一种培养学生实际动手能力的有效工具,更是电子类课程教学的发展方向。本文介绍了EWB虚拟技术在《模拟电子线路》课程教学中的应用,基于Multisim进行电子线路设计仿真,让抽象的理论及时得到检验,加深对理论的理解和记忆,作为教学的补充。     

嵌入式SOPC的应用与研究

针对当前传统的嵌入式开发方法不能满足嵌入式应用需求的这一现状,介绍一种新的嵌入式开发方法SOPC。对当前基于FPGA嵌入IP硬、软核的SOPC系统进行全面的分析与研究,系统的阐述了嵌入式SOPC的开发流程,并对嵌入式SOPC硬件开发和软件开发的关键问题进行了详叙,最后通过一个简单LED实例,深入的分析了嵌入式SOPC开发的全过程。     

Virus coevolution partheno-genetic algorithms for optimal sensor placement

A virus coevolutionary partheno-genetic algorithm (VEPGA), which combined a partheno-genetic algorithm (PGA) with virus evolutionary theory, is proposed to place sensors optimally on a large space structure for the purpose of modal identification. The VEPGA is composed of a host population of candidate solutions and a virus population of substrings of host individuals. The traditional crossover and mutation operators in genetic algorithm are repealed and their functions are implemented by particular partheno-genetic operators which are suitable to combinatorial optimization problems. Three different optimal sensor placement performance index, one aim on the maximization of linear independence, one aim on the maximization of modal energy and the last is a combination of the front two indices, have been investigated. The algorithm is applied to two examples: sensor placement for a portal frame and a concrete arc dam. Results show that the proposed VEPGA outperforms the sequential reduction procedure (SRP) and PGA. The combined performance index makes an excellent compromise between the linear independence aimed index and the modal energy aimed index.     

Process parameters selection of fluid industry based on flexible neural trees

Fluid industry＇s production takes on high complexity, strong association, non-linear and indeterminacy. To find important parameters which influence production process, provide theoretical basis for process control of fluid industry＇s production and make the production process control more exact, we propose a flexible neural tree model in this paper. The model can be created based on predeflned information set. The structure and parameters of flexible neural tree are optimized by probabilistic incremental program evolution and simulation annealing respectively. We take production process of decomposed kiln---one of important cement＇s processes---as an example. The result indicates that the proposed model is greatly efficient.     

Design optimization of stiffened storage tank for spacecraft

Stiffened storage tank is an important structural component in spacecraft. Its structural weight is one of the key criterions in the design phase. This paper focuses on the design optimization of the structure by using finite element method, structural sensitivity analysis techniques, and sequential linear/quadratic programming aimed to reduce the structural weight. Design variables include the numbers of stiffeners, stiffeners’ section dimensions, and shell thickness distribution. Detailed finite element modeling processes are presented, which are the ways to construct the stiffener (beam orientation and offset) and shell elements and the ways to determine the analysis model and structural boundary conditions. A brief introduction to sensitivity analysis and optimization solution algorithm is also given. Main attention is paid to the studies of design optimization of the tank structure, including the selection of design cases, evaluation, and comparison of the optimal results. There are six design cases considered in the design procedures. Numerical results show that by using the above computational techniques, the structural weight is effectively reduced. In this work, MSC.Patran/Nastran is employed to construct the Finite Element Model (FEM), and JIFEX, which is developed in our group, is used to conduct the structural design optimization. JIFEX is a structural analysis and optimization software package developed by Gu and colleagues in the Dalian University of Technology Department of Engineering Mechanics. Among its many functions is the ability to analyze and optimize piezoelectric smart structures.     

Interval optimization of rotor-bearing systems with dynamic behavior constraints using an interval genetic algorithm

A new interval optimization algorithm is presented in this paper. In engineering, most optimization algorithms focus on exact parameters and optimum objectives. However, exact parameters are not easy to be manufactured to because of manufacturing errors and expensive manufacturing cost. To account for these problems, it is necessary to estimate interval design parameters and allowable objective error. This is the first paper to propose a new interval optimization algorithm within the context of Genetic Algorithms. This new algorithm, the Interval Genetic Algorithm (IGA), can neglect interval analysis and determines the optimum interval parameters. Furthermore, it can also effectively maximize the design scope. The optimizing ability of the IGA is tested through the interval optimization of a two-dimensional function. Then the IGA is applied to rotor-bearing systems. The results show that the IGA is effective in deriving optimal interval design parameters within the allowable error when minimizing shaft weight and/or transmitted force of rotor-bearing systems.