科创中国

在可持续发展与低碳经济的背景下,绿色物流逐渐成为一个重要的研究领域.其融入了物流管理学、生态经济学、工业生态学、生态伦理学等交叉学科,也得到学术界和业界的广泛关注.以《中国期刊全文数据库》为主要数据来源,借助NoteExpress、CiteSpace以及Pajek等软件,对绿色物流近年来的研究状况进行统计,分析发表论文数量的年度分布情况,从研究领域的知识结构人手,探究我国绿色物流的研究特点以及研究主题等.

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.

The intermittent connection(IC)of the field-bus in networked manufacturing systems is a common but hard troubleshooting network problem,which may result in system level failures or safety issues.However,there is no online IC location identification method available to detect and locate the position of the problem.To tackle this problem,a novel model based online fault location identification method for localized IC problem is proposed.First,the error event patterns are identified and classified according to different node sources in each error frame.Then generalized zero inflated Poisson process(GZIP)model for each node is established by using time stamped error event sequence.Finally,the location of the IC fault is determined by testing whether the parameters of the fitted stochastic model is statistically significant or not using the confident intervals of the estimated parameters.To illustrate the proposed method,case studies are conducted on a 3-node controller area network(CAN)test-bed,in which IC induced faults are imposed on a network drop cable using computer controlled on-off switches.The experimental results show the parameters of the GZIP model for the problematic node are statistically significant(larger than 0),and the patterns of the confident intervals of the estimated parameters are directly linked to the problematic node,which agrees with the experimental setup.The proposed online IC location identification method can successfully identify the location of the drop cable on which IC faults occurs on the CAN network.

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.

The existing researches of the evaluation method of ride comfort of vehicle mainly focus on the level of human feelings to vibration. The level of human feelings to vibration is influenced by many factors, however, the ride comfort according to the common principle of probability and statistics and simple binary logic is unable to reflect these uncertainties. The random fuzzy evaluation model from people subjective response to vibration is adopted in the paper, these uncertainties are analyzed from the angle of psychological physics. Discussing the traditional evaluation of ride comfort during vehicle vibration, a fuzzily random evaluation model on the basis of annoyance rate is proposed for the human body's subjective response to vibration, with relevant fuzzy membership function and probability distribution given. A half-car four degrees of freedom suspension vibration model is described, subject to irregular excitations from the road surface, with the aid of software Matlab/Simulink. A new kind of evaluation method for ride comfort of vehicles is proposed in the paper, i.e., the annoyance rate evaluation method. The genetic algorithm and neural network control theory are used to control the system. Simulation results are obtained, such as the comparison of comfort reaction to vibration environments between before and after control, relationship of annoyance rate to vibration frequency and weighted acceleration, based on ISO2631/1(1982), ISO 2631–1(1997) and annoyance rate evaluation method, respectively. Simulated assessment results indicate that the proposed active suspension systems prove to be effective in the vibration isolation of the suspension system, and the subjective response of human being can be promoted from very uncomfortable to a little uncomfortable. Furthermore, the novel evaluation method based on annoyance rate can further estimate quantitatively the number of passengers who feel discomfort due to vibration. A new analysis method of vehicle comfort is presented.

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.

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.