校企合作过程中质量保证和评估机制研究(英文)

College-enterprise cooperation model is a new model of cultivating application-typed talents in college by cooperating with enterprises.This thesis puts forward a set of quality assurance and evaluation mechanism,practice shows that this mechanism can effectively guarantee the teaching quality and evaluate the teaching results scientifically.     

软件工程四位一体校企合作实践教学体系研究(英文)

To meet for the enterprise requirements of software engineers and to solve the problems that the software engineers with low capacity in engineering and innovation issues at present,this paper first analyzes the software engineering education objectives and methods,then proposes to build an engineering teaching architecture which called One Frame with Four Aspects.This architecture reforms the practical teaching experience from educational concepts,practical training links,practical training objectives as well as practical training evaluation mechanism,especially focuses on the content of practice teaching,engineering teaching curriculum,the school-enterprise cooperation model and evaluation mechanisms.Practice has shown that the practical teaching system can be applied to software training well in Software School and its training effect is remarkable.     

Partner selection in a virtual enterprise under uncertain information about candidates

Partner selection is a major issue in the formation of a virtual enterprise. In practice, in the partner selection process, the information about the candidates and their performances are incomplete and uncertain. Vague sets theory is one of the methods used to deal with uncertain information. In this paper, a new method based on vague sets is proposed to deal with the partner selection problem in the formation of a virtual enterprise while the factors of satisfaction degree, due date, cost and the precedence of tasks are taken into account. On the basis of the agreement index of satisfaction degree, the formulated partner selection problems are interpreted so as to maximize the minimum agreement index. To solve the problem, an improved particle swarm optimization (PSO) algorithm is proposed. Finally, the simulation of a numerical example demonstrates that the method is effective.     

一种低拒绝率最小干扰路由算法

介绍经典的最小干扰路由算法MIRA及WSC,针对其在进行链路权重定位时仅考虑单个网络最大流的缺点,提出一种用以实现最小干扰路由的算法MWSC。MWSC能够考虑多个网络最大流的情况,从而准确定位关键路径。仿真实验结果表明,MWSC具有比MIRA和WSC更低的用户请求拒绝率。     

应用相对变换的无线传感器网络分簇算法

针对无线传感器网络节点负载不均衡的问题,提出了一种应用相对变换的无线传感器网络分簇算法(RTCH)。在成簇阶段,节点将簇头剩余能量、簇头与节点和簇头与基站的传输能耗等参数利用该模型先进行相对变换,再计算簇头适宜度来选择加入簇头成簇,并通过簇头的反馈信息来控制簇的规模来优化网络性能。仿真实验结果表明,RTCH算法能更有效地均衡网络中的能量消耗,延长网络生命周期。     

A spline wavelet finite element formulation of thin plate bending

The wavelet scaling functions of spline wavelets are used to construct the displacement interpolation functions of triangular and rectangular thin plate elements. The displacement shape functions are then expressed by spline wavelet functions. A spline wavelet finite element formulation of thin plate bending is developed by using the virtual work principle. Two numerical examples have shown that the bending deflections and moments of thin plates agree well with those obtained by the differential equations and conventional elements. It is demonstrated that the current spline wavelet finite element method (FEM) can achieve a high numerical accuracy and converges fast. The proposed spline wavelet finite element formulation has a wide range of applicability since it is developed in the same way like conventional displacement-based FEM.     

PSO-based single multiplicative neuron model for time series prediction

Single multiplicative neuron model is a novel neural network model introduced recently, which has been used for time series prediction and function approximation. The model is based on a polynomial architecture that is the product of linear functions in different dimensions of the space. Particle swarm optimization (PSO), a global optimization method, is proposed to train the single neuron model in this paper. An improved version of the original PSO, cooperative random learning particle swarm optimization (CRPSO), is put forward to enhance the performance of the conventional PSO. The proposed CRPSO, PSO, back-propagation algorithm and genetic algorithm are employed to train the model for three well-known time series prediction problems. The experimental results demonstrate the superiority of CRPSO-based neuron model in efficiency and robustness over the other three algorithms.     

高速ADC频域特性测试系统的设计

针对传统专用高速模数转换器频域特性测试系统构建难度大、成本高的问题,利用基于加窗和插值FFr算法的测试方法,提出一种低成本高速ADC频域特性测试系统,给出ADC采样时钟驱动电路、ADC输入信号驱动电路、FIFO缓存电路及USB接口电路的关键设计技术。     

基于SOPC及图形加速引擎的座舱显示系统

提出一种基于可编程片上系统和图形加速引擎的飞机座舱综合显示系统设计方案。为避免图形加速引擎直接对帧存储器进行零碎操作导致的存储器操作瓶颈,引入图形缓存机制。根据图形像素的存储特点提出“远区域优先”图形缓存页面淘汰算法。对汉字及自定义位图等操作采取软硬件结合的方式达到系统性能和资源利用的平衡,利用硬件锁保证帧存储器一致性。通过对模块进行波形仿真实现系统级仿真结果的可视化验证。     

基于多种群进化与粒子群优化混合的频谱分配算法

为了解决认知无线网络中的频谱分配问题,提出一种基于多种群进化与粒子群优化混合的频谱分配算法。它采用图论着色模型,首先使用遗传算法将多个种群进行独立进化,以提高种群的全局搜索能力;然后选出每个种群中的最优的个体作为粒子群优化的粒子,并通过控制每个粒子的初始速度方向来加快算法的收敛速度。最后以系统总收益最大化和用户间的公平性为优化目标与遗传算法和粒子群算法进行了对比实验,仿真结果表明,该算法在收敛速度、认知用户接入公平性和系统总收益3个方面的性能均优于遗传算法和粒子群算法。