理实结合的机械制图教学改革与实践

“机械制图”是机械类专业的基础与核心课程,其教学效果的好坏关系到学生后续课程的学习,但目前教学仍侧重于书本理论,与实际生产脱节,这不利于学生掌握机械制图的绘制,教学方法亟待改革。提出制图理论和零部件实际应用相结合的机械制图教学改革,建立基于认识实践的机械制图教学环境和基于工程设计为主线的机械制图教学体系。增加机械零部件认识实践教学环节、加强零部件表达方法的学习,以及严格按照制图流程进行绘图。旨在提升学生对零部件的认识、表达方式、绘制的实践能力,促进学生观察力和技能性学习的效果,有利于学生工程设计思维能力的培养和学生工程能力的提升。     

基于应用能力培养的综合性课程体系的优化与实践

结合机械设计制造及其自动化专业培养应用型高级专门人才的目标定位,在以往人才培养方案的基础上,主要优化了该专业人才培养方案的集中实践教学环节,形成了基于应用能力培养的综合性课程体系,实践结果表明,优化后的集中实践教学环节更有利于提高学生的应用能力和工程素质。     

重庆市城乡差距分析及对策研究

城乡差距是经济社会发展中一个突出问题,重庆市作为我国最年轻、最大的直辖市,城乡二元结构突出。文章从城乡居民收入差距、城乡居民财富差距、城乡居民消费差距和城乡居民社会福利差距四个方面研究了重庆市城乡差异的特征,并提出了重庆市统筹城乡发展应采取的措施。     

加快广西北部湾经济区开放开发的若干思考

广西北部湾经济区开放开发,关键在于有效地整合广西区域内的各种资源,促进区域经济一体化发展。为此,应从实施城市群一体化发展、建立健全政策体系和扎实开展项目建设三个方面着手,有效整合区域资源,从而加快推进广西北部湾经济区的开放开发。     

超大型工程建设项目集成管理研究

首先提出超大型工程建设项目总体集成概念模型,然后从项目目标、全寿命期、参与各方这三个维度综合考虑提出一个综合集成概念模型,在此基础上提出了项目管理要素集成概念模型.该模型中增加了工程建设项目现在普遍重视的健康、安全和环境保护(Health,Safety & Environment,简称HSE)三个要素.     

站在新的起点上推进中国通用航空业高质量发展——写在《关于促进通用航空业发展的指导意见》颁行三周年之际

通用航空是中国民用航空\     

毫米波系统中的集成电路

讨论了毫米波精导武器和信道化接收机中的集成电路。低成本和批量生产能力是对这类系统ＲＦ 硬件提出的主要要求。可以采用两种方式,即混合集成和单片集成来实现这些硬件。说明为了获得最好的性能价格比,将混合集成和单片集成技术综合使用是一种值得推荐的模式     

O-O方法在CIMS/MIS开发中的应用

阐述了O－O方法在CIMS／MIS开发过程中的应用。介绍了该系统的层次结构,分析了采用O－O方法开发CIMS／MIS的优越性,以及应用O-O分析、O-O设计和开发平台开发系统的过程,说明了利用开发平台实现系统的一些具体作法。     

Robust inference for bivariate point processes

In the analysis of recurrent events where the primary interest lies in studying covariate effects on the expected number of events occurring over a period of time, it is appealing to base models on the cumulative mean function (CMF) of the processes (Lawless & Nadeau 1995). In many chronic diseases, however, more than one type of event is manifested. Here we develop a robust inference procedure for joint regression models for the CMFs arising from a bivariate point process. Consistent parameter estimates with robust variance estimates are obtained via unbiased estimating functions for the CMFs. In most situations, the covariance structure of the bivariate point processes is difficult to specify correctly, but when it is known, an optimal estimating function for the CMFs can be obtained. As a convenient model for more general settings, we suggest the use of the estimating functions arising from bivariate mixed Poisson processes. Simulation studies demonstrate that the estimators based on this working model are practically unbiased with robust variance estimates. Furthermore, hypothesis tests may be based on the generalized Wald or generalized score tests. Data from a trial of patients with bronchial asthma are analyzed to illustrate the estimation and inference procedures.     

Minimax designs for approximately linear models with AR(1) errors

We obtain designs for linear regression models under two main departures from the classical assumptions: (1) the response is taken to be only approximately linear, and (2) the errors are not assumed to be independent, but to instead follow a first-order autoregressive process. These designs have the property that they minimize (a modification of) the maximum integrated mean squared error of the estimated response, with the maximum taken over a class of departures from strict linearity and over all autoregression parameters ρ,|ρ,| < 1, of fixed sign. Specific methods of implementation are discussed. We find that an asymptotically optimal procedure for AR(1) models consists of choosing points from that design measure which is optimal for uncorrelated errors, and then implementing them in an appropriate order.