集成电路密封用高纯邻甲酚醛环氧树脂的制备

ECN树脂中的可水解氯含量是决定树脂质量的—个重要指标。本文研究了反应温度、ECH/OCN配比、反应时间和碱用量等因素的影响,取得了规律性的认识,并获得最佳配方,制备出高纯度的ECN树脂系列产品。     

我国高职教育借鉴德国职业教育模式的问题与改善

德国职业教育模式在我国发展和普及已经近30年了,为我国加快发展现代职业教育提供了借鉴。简析了德国职业教育模式在中国的发展现状,并指出了在实施中遇到的问题,提出了相关的解决方法和改善办法。     

高职软件技术专业《ASP.NET程序设计》课程教学改革与探索

高职学院ASP.NET课程是软件技术专业的核心主干课程,本文从培养学生软件开发能力的角度出发,探讨了基于工作过程模式下,如何更好的完成教学内容,以此激发了学生的学习兴趣,培养了学生的职业能力,提高了教学质量。     

水煤浆添加剂及其研究进展

介绍了水煤浆添加剂结构特征对煤成浆性能影响的研究情况及新型高效添加剂的研究进展。目前制浆添加剂主要分为阴离子表面活性剂和非离子表面活性剂;我国与国外的水煤浆添加剂技术相比,还存在一定的差距,特别是分散降粘性质方面,高效、价廉、适用性广的添加剂为数并不多。     

职业技能考证项目培训课程的网络教学融合应用与创新

以Moodle平台为依托,为职业技能考证实训教学环节构建了一个引领学生在线自主学习的网络模式,其主要特色是以课程理论为基础,以校企参与制定的人才培养计划作为主要课程内容,以合作企业作为教学的组织形式,并且将三者有机融合形成体系,以此进行理论与实际的一体化教学;同时融合网上异步教学理念形成一套崭新的教学模式。     

高职网络技术专业毕业生就业满意度调查分析

对高职网络技术专业125名毕业生就业满意度跟踪调查,从就业情况、首次就业成功因素、专业课程内容设置、专业教师教学水平、专业教学管理、专业技能重要性、运用专业技能熟练程度、对职业资格证书的意见等九个方面进行分析,为教学改革提供依据。研究大学生就业能力结构及其对就业结果的影响,对调整课程设置与教学内容,构建以能力为核心的课程体系具有重要意义。     

An alternate quantum adiabatic evolution for the Deutsch–Jozsa problem

Deutsch–Jozsa algorithm has been implemented via quantum adiabatic evolutions by Das et al. (Phys Rev A 65:062310, 2002) and Wei et al. (Phys Lett A 354:271, 2006). In the latter literature, the authors have shown a modified version of the adiabatic evolution which can improve the performance of the algorithm of S. Das et al’s to constant time. In this paper, we also improve the algorithm of S. Das et al’s in a constant time but by using a different construction of adiabatic evolution, i.e., adding ancillary qubits. The algorithm in this paper provides an alternative option to potential users.     

Structural optimization of the cross-beam of a gantry machine tool based on grey relational analysis

Crossbeam structural design of gantry machine tool is a multi-level, multi-index and multi-scheme decision-making problem. In order to solve the above problem, the optimum seeking model of crossbeam structure was built through using the grey relational analysis and Analytic Hierarchy Process. The finite element analysis of the static and dynamic performance parameters for four kinds of crossbeam structural schemes designed had been done, and the optimal design scheme was selected by using the optimum seeking model. After conducting sensitivity analysis for the optimal crossbeam selected, the reasonable design variables were obtained, and the dynamic optimization design model of crossbeam was established. Six groups of non-inferior solutions were obtained after solving the optimization design model. The optimal solution was selected from the non-inferior solution set through using the crossbeam structural optimization method based on grey relational analysis again, which makes the crossbeam’s dynamic performance improving greatly. The dynamic experiments on the crossbeams before and after optimization design were conducted, then the experimental results show that the first four order natural frequencies of the crossbeam increase 17.56 %, 19.36 %, 17.04 % and 19.58 % respectively, which proves that the structural optimization design method based on grey relational analysis proposed in this paper is reasonable and practicable.     

Integrated size and topology optimization of skeletal structures with exact frequency constraints

The present paper studies the integrated size and topology optimization of skeletal structures under natural frequency constraints. It is found that, unlike the conventional compliance-oriented topology optimization problems, the considered problem may be strongly singular in the sense that the corresponding feasible domain may be disconnected and the global optimal solutions are often located at the tips of some separated low dimensional sub-domains when the cross-sectional areas of the structural components are used as design variables. As in the case of stress-constrained topology optimization, this unpleasant behavior may prevent the gradient-based numerical optimization algorithms from finding the true optimal topologies. To overcome the difficulties posed by the strongly singular optima, some particular forms of area/moment of inertia-density interpolation schemes, which can restore the connectedness of the feasible domain, are proposed. Based on the proposed optimization model, the probability of finding the strongly singular optimum with gradient-based algorithms can be increased. Numerical examples demonstrate the effectiveness of the proposed approach.