管理信息系统课程教改研究

本文针对当前管理信息系统课程所存在的教学内容陈旧落后、缺乏针对性,教学方法单一枯燥,教学实践环节薄弱等问题,根据笔者自身多年的教学经验,提出更新教学内容、改进教学方法以及优化实践环节的教学改革思路和方案。     

Rate of convergence for the Legendre pseudospectral optimal control of feedback linearizable systems

Pseudospectral (PS) computational methods for nonlinear constrained optimal control have been applied to many industrial-strength problems, notably, the recent zero-propellant-maneuvering of the international space station performed by NASA. In this paper, we prove a theorem on the rate of convergence for the optimal cost computed using a Legendre PS method. In addition to the high-order convergence rate, two theorems are proved for the existence and convergence of the approximate solutions. Relative to existing work on PS optimal control as well as some other direct computational methods, the proofs do not use necessary conditions of optimal control. Furthermore, we do not make coercivity type of assumptions. As a result, the theory does not require the local uniqueness of optimal solutions. In addition, a restrictive assumption on the cluster points of discrete solutions made in existing convergence theorems is removed.     

“ARM嵌入式系统”课程教学方法研究

本文探讨"ARM嵌入式系统"课程教材普遍存在的问题,在借鉴现有教材的同时,我校将自身的工程和学习实践引入教学过程中,以"实用、有趣、建立学生自信"为指导思想,探索嵌入式系统教学方法。在理论教学中,从工程实践中积累大量素材,设计的教学内容力求接近工程实践,又带有一定的趣味性和启发性;在实验环节,以活泼的实验来促进理论教学,调动学生主动性。     

高职院校毕业实训实践教学方法探讨

本文从毕业实训实践教学日常管理的角度出发,围绕提高实训教学效果,从六大方面阐述网站设计实训方向的管理方法;同时,介绍我院"3+1"教学模式对学生的毕业设计和就业所起到的作用。实践证明高质量实训可以提高学生就业质量,提高就业能力。     

室内设计的节能方法探析

在全球能源日益紧张的今天,节能与可持续发展理念在中国被提到了前所未有的高度上,而室内环境与建筑能耗有着十分密切的关系。文章从室内设计层面出发,分析中国的室内设计节能现状,找出不利于节能的主要因素,通过解读案例的方式,总结出若干节能措施。     

微电子器件温度分布测试技术研究

为改善微电子器件性能,提高可靠性,确定筛选、考核条件等都必须对器件的结温、表面温度分布以及热斑等热特性进行精确测量,红外热像法是当前测量微电子器件热特性最有效的方法之一。文章针对InfrascopeⅡ型显微红外热像仪在实际应用中如何提高其测温准确度和一致性等问题进行了研究,重点分析了样品发射率、背景环境和大气衰减等因素的影响,并给出验证解决方案,取得了满意的结果。     

固有频率和阻尼度的测试方法研究

文章介绍了阶跃激励法、正弦激励法、脉冲激励法三种动态扭矩计量测试方法,并对不同时间做的两次试验进行了对比,得出的数据相差在3%以内,证明了上述动态特性的测试方法具有重复性和追溯性,可用作扭矩传感器动态特性的测试。     

Numerical solutions of the one-phase classical Stefan problem using an enthalpy green element formulation

The enthalpy method is exploited in tackling a heat transfer problem involving a change of state. The resulting governing equation is then solved with a hybrid finite element - boundary element technique known as the Green element method (GEM). Two methods of approximation are employed to handle the time derivative contained in the discrete element equation. The first involves a finite difference method, while the second utilizes a Galerkin finite element approach. The performance of both methods are assessed with a known closed form solution. The finite element based time discretization, despite its greater challenge, yields less reliable numerical results. In addition a numerical stability test of both methods based on a Fourier series analysis explain the dispersive characters of both techniques, and confirms that replication of correct results is largely attributed to their ability to handle the harmonics of small wavelengths which are usually dominant in the vicinity of a front.     

Parameter sensitivity study of the Nelder-Mead Simplex Method

This paper presents a parameter sensitivity study of the Nelder-Mead Simplex Method for unconstrained optimization. Nelder-Mead Simplex Method is very easy to implement in practice, because it does not require gradient computation; however, it is very sensitive to the choice of initial points selected. Fan-Zahara conducted a sensitivity study using a select set of test cases and suggested the best values for the parameters based on the highest percentage rate of successful minimization. Begambre-Laier used a strategy to control the Particle Swarm Optimization parameters based on the Nelder Mead Simplex Method in identifying structural damage. The main purpose of the paper is to extend their parameter sensitivity study to better understand the parameter’s behavior. The comprehensive parameter sensitivity study was conducted on seven test functions: B2, Beale, Booth, Wood, Rastrigin, Rosenbrock and Sphere Functions to search for common patterns and relationships each parameter has in producing the optimum solution. The results show important relations of the Nelder-Mead Simplex parameters: reflection, expansion, contraction, and Simplex size and how they impact the optimum solutions. This study is crucial, because better understanding of the parameters behavior can motivate current and future research using Nelder-Mead Simplex in creating an intelligent algorithm, which can be more effective, efficient, and save computational time.