科创中国

Innovation is a process of taking an original idea and converting it into a business value, in which the engineers face some inventive problems which can be solved hardly by experience. TRIZ, as a new theory for companies in China, provides both conceptual and procedural knowledge for finding and solving inventive problems. Because the government plays a leading role in the diffusion of TRIZ, too many companies from different industries are waiting to be trained, but the quantity of the trainers mastering TRIZ is incompatible with that requirement. In this context, to improve the training effect, an interactive training model of TRIZ for the mechanical engineers in China is developed and the implementation in the form of training classes is carried out. The training process is divided into 6 phases as follows: selecting engineers, training stage-1, finding problems, training stage-2, finding solutions and summing up. The government, TRIZ institutions and companies to join the programs interact during the process. The government initiates and monitors a project in form of a training class of TRIZ and selects companies to join the programs. Each selected companies choose a few engineers to join the class and supervises the training result. The TRIZ institutions design the training courses and carry out training curriculum. With the beginning of the class, an effective communication channel is established by means of interview, discussion face to face, E-mail, QQ and so on. After two years training practices, the results show that innovative abilities of the engineers to join and pass the final examinations increased distinctly, and most of companies joined the training class have taken congnizance of the power of TRIZ for product innovation. This research proposes an interactive training model of TRIZ for mechanical engineers in China to expedite the knowledge diffusion of TRIZ.

为解决隐性知识交流存在的认知及表述、耗时等问题,针对隐性知识交流的社会化属性,引入社会化推荐来探讨其在隐性知识交流中的应用价值.通过分析社会化推荐在隐性知识交流中的工作机理,继而设计不同社区利用社会化推荐进行隐性知识交流的算法.同时,构建面向社会化推荐的隐性知识交流模型.

Due to the insufficiency of utilizing knowledge to guide the complex optimal searching, existing genetic algorithms fail to effectively solve excavator boom structural optimization problem. To improve the optimization efficiency and quality, a new knowledge-based real-coded genetic algorithm is proposed. A dual evolution mechanism combining knowledge evolution with genetic algorithm is established to extract, handle and utilize the shallow and deep implicit constraint knowledge to guide the optimal searching of genetic algorithm circularly. Based on this dual evolution mechanism, knowledge evolution and population evolution can be connected by knowledge influence operators to improve the configurability of knowledge and genetic operators. Then, the new knowledge-based selection operator, crossover operator and mutation operator are proposed to integrate the optimal process knowledge and domain culture to guide the excavator boom structural optimization. Eight kinds of testing algorithms, which include different genetic operators, are taken as examples to solve the structural optimization of a medium-sized excavator boom. By comparing the results of optimization, it is shown that the algorithm including all the new knowledge-based genetic operators can more remarkably improve the evolutionary rate and searching ability than other testing algorithms, which demonstrates the effectiveness of knowledge for guiding optimal searching. The proposed knowledge-based genetic algorithm by combining multi-level knowledge evolution with numerical optimization provides a new effective method for solving the complex engineering optimization problem.

明确电子商务信息生态群的定义,认为电子商务系统由领导信息生态群、核心信息生态群和支持信息生态群构成,分析每个信息生态群的知识流程.电子商务知识管理对象是编码知识和个人知识,各知识流程中的核心环节是信息分析或经验提炼,分别对应于编码知识和个人知识.在知识流程分析基础上,提出信息生态视角下电子商务知识管理的技术框架.

目的 调查沧州市社区护士脑卒中知识水平现状.方法 采用自行设计问卷,对沧州市43所社区卫生服务机构的137名社区护士进行调查.结果 社区护士脑卒中知识总分为(20.42±2.16)分,正确率为40.84%,不同年龄、学历、职称及专业年限、社区服务机构级别社区护士知识得分无差异(P>0.05);83.94%护士的脑卒中知识来源于阅读专业书籍.结论 社区护士脑卒中知识水平有待进一步提高,应采取多种形式开展脑卒中知识的培训,提高社区卒中护理工作的水平.

阐述了知识经济的概念与知识经济时代的特征,指出知识经济时代物流人才的能力结构要求,最后提出了知识经济时代物流企业人力资源管理的新理念.

着眼于知识共享全过程,从个体、团队和组织多个层面入手,基于PLS的结构方程模型构建包括知识提供者贡献知识行为影响因素和知识接受者利用知识行为影响因素的虚拟团队知识共享影响因素模型,并进行实证研究,以期为虚拟团队知识共享的管理提供指导和借鉴.

分析专业图书馆实现知识服务转型的4个主要方面及对图书馆人员结构的需求,包括建设多元化数字资源保障体系、探索面向专业领域的知识服务模式、试验开展集成化知识环境建设、创建柔性灵活的团队与协作机制.结合以国家科技文献中心成员单位为代表的专业图书馆人员队伍结构,分析其人员队伍状况,阐明专业图书馆人员结构与未来发展存在业务布局、专业能力、信息技术水平、组织管理体制等方面的差距.

考虑非线性吸附平衡关系、吸附剂内外传质阻力以及表面扩散系数为固相浓度的函数的基础上,建立间歇搅拌吸附槽中大孔吸附树脂吸附DMF的表面扩散模型,由于该模型为高度非线性的偏微分方程,只能采用数值方法求解.因此,对MATLAB中pdepe函数进行适当修改,并针对吸附表面扩散模型边界条件的特点建立边界条件函数,使其可应用于具有Robin边界条件的吸附数学模型的求解.当间歇搅拌吸附槽的搅拌速度为100rpm,温度为298K条件下,应用修改后的pdepe函数结合优化工具箱求解吸附表面扩散模型,获得有效表面扩散系数Dn=1.04*10^-10m^2/s和液相传质系数Kp=9.60*10^-6m/s;模型计算得到的吸附速率与实验测定结果的均方根误差为ε=0.008.结果表明:DMF在NKA-Ⅱ树脂上吸附动力学过程与吸附表面扩散模型吻合良好,应用修改后的pdepe函数可方便地求解具有Robin边界条件的表面吸附模型,结果准确可靠.

主要论述了在以积件为主体的《仓储实务》课程数字资源建设中,把握先进教学理念,梳理并重构学科内容,精心划分知识点,为制作积件打好基础.提出应充分考虑《仓储实务》的教学模式改革,将情境、任务等设计成为单独的知识点,明确学科内容,确定知识点积件类型,以及如何处理知识点划分中遇到的大小、名称及数量等问题.